ECON_562_PROJ1_AF
Andrew Frohner
2025-03-22
library(readr)
#Import dataset
schools <- read_csv("MERGED2022_23_PP.csv", na = c("NULL", "PrivacySuppressed", "NA"))
dictionary <- read_csv("CollegeScorecardDataDictionary.csv")Data Dimensions
# Records
dim(schools)## [1] 6484 3305#Identify Missing Values
sapply(schools, function(x) sum(is.na(x)))## UNITID OPEID
## 0 26
## OPEID6 INSTNM
## 26 0
## CITY STABBR
## 0 0
## ZIP ACCREDAGENCY
## 0 312
## INSTURL NPCURL
## 12 532
## SCH_DEG HCM2
## 6484 0
## MAIN NUMBRANCH
## 0 0
## PREDDEG HIGHDEG
## 0 0
## CONTROL ST_FIPS
## 0 0
## REGION LOCALE
## 0 495
## LOCALE2 LATITUDE
## 6484 495
## LONGITUDE CCBASIC
## 495 495
## CCUGPROF CCSIZSET
## 495 495
## HBCU PBI
## 498 498
## ANNHI TRIBAL
## 498 498
## AANAPII HSI
## 498 498
## NANTI MENONLY
## 498 495
## WOMENONLY RELAFFIL
## 495 5597
## ADM_RATE ADM_RATE_ALL
## 4528 4269
## SATVR25 SATVR75
## 5476 5476
## SATMT25 SATMT75
## 5476 5476
## SATWR25 SATWR75
## 6484 6484
## SATVRMID SATMTMID
## 6484 6484
## SATWRMID ACTCM25
## 6484 5480
## ACTCM75 ACTEN25
## 5480 5539
## ACTEN75 ACTMT25
## 5539 5539
## ACTMT75 ACTWR25
## 5539 6484
## ACTWR75 ACTCMMID
## 6484 6484
## ACTENMID ACTMTMID
## 6484 6484
## ACTWRMID SAT_AVG
## 6484 5395
## SAT_AVG_ALL PCIP01
## 5270 773
## PCIP03 PCIP04
## 773 773
## PCIP05 PCIP09
## 773 773
## PCIP10 PCIP11
## 773 773
## PCIP12 PCIP13
## 773 773
## PCIP14 PCIP15
## 773 773
## PCIP16 PCIP19
## 773 773
## PCIP22 PCIP23
## 773 773
## PCIP24 PCIP25
## 773 773
## PCIP26 PCIP27
## 773 773
## PCIP29 PCIP30
## 773 773
## PCIP31 PCIP38
## 773 773
## PCIP39 PCIP40
## 773 773
## PCIP41 PCIP42
## 773 773
## PCIP43 PCIP44
## 773 773
## PCIP45 PCIP46
## 773 773
## PCIP47 PCIP48
## 773 773
## PCIP49 PCIP50
## 773 773
## PCIP51 PCIP52
## 773 773
## PCIP54 CIP01CERT1
## 773 500
## CIP01CERT2 CIP01ASSOC
## 500 500
## CIP01CERT4 CIP01BACHL
## 500 500
## CIP03CERT1 CIP03CERT2
## 500 500
## CIP03ASSOC CIP03CERT4
## 500 500
## CIP03BACHL CIP04CERT1
## 500 500
## CIP04CERT2 CIP04ASSOC
## 500 500
## CIP04CERT4 CIP04BACHL
## 500 500
## CIP05CERT1 CIP05CERT2
## 500 500
## CIP05ASSOC CIP05CERT4
## 500 500
## CIP05BACHL CIP09CERT1
## 500 500
## CIP09CERT2 CIP09ASSOC
## 500 500
## CIP09CERT4 CIP09BACHL
## 500 500
## CIP10CERT1 CIP10CERT2
## 500 500
## CIP10ASSOC CIP10CERT4
## 500 500
## CIP10BACHL CIP11CERT1
## 500 500
## CIP11CERT2 CIP11ASSOC
## 500 500
## CIP11CERT4 CIP11BACHL
## 500 500
## CIP12CERT1 CIP12CERT2
## 500 500
## CIP12ASSOC CIP12CERT4
## 500 500
## CIP12BACHL CIP13CERT1
## 500 500
## CIP13CERT2 CIP13ASSOC
## 500 500
## CIP13CERT4 CIP13BACHL
## 500 500
## CIP14CERT1 CIP14CERT2
## 500 500
## CIP14ASSOC CIP14CERT4
## 500 500
## CIP14BACHL CIP15CERT1
## 500 500
## CIP15CERT2 CIP15ASSOC
## 500 500
## CIP15CERT4 CIP15BACHL
## 500 500
## CIP16CERT1 CIP16CERT2
## 500 500
## CIP16ASSOC CIP16CERT4
## 500 500
## CIP16BACHL CIP19CERT1
## 500 500
## CIP19CERT2 CIP19ASSOC
## 500 500
## CIP19CERT4 CIP19BACHL
## 500 500
## CIP22CERT1 CIP22CERT2
## 500 500
## CIP22ASSOC CIP22CERT4
## 500 500
## CIP22BACHL CIP23CERT1
## 500 500
## CIP23CERT2 CIP23ASSOC
## 500 500
## CIP23CERT4 CIP23BACHL
## 500 500
## CIP24CERT1 CIP24CERT2
## 500 500
## CIP24ASSOC CIP24CERT4
## 500 500
## CIP24BACHL CIP25CERT1
## 500 500
## CIP25CERT2 CIP25ASSOC
## 500 500
## CIP25CERT4 CIP25BACHL
## 500 500
## CIP26CERT1 CIP26CERT2
## 500 500
## CIP26ASSOC CIP26CERT4
## 500 500
## CIP26BACHL CIP27CERT1
## 500 500
## CIP27CERT2 CIP27ASSOC
## 500 500
## CIP27CERT4 CIP27BACHL
## 500 500
## CIP29CERT1 CIP29CERT2
## 500 500
## CIP29ASSOC CIP29CERT4
## 500 500
## CIP29BACHL CIP30CERT1
## 500 500
## CIP30CERT2 CIP30ASSOC
## 500 500
## CIP30CERT4 CIP30BACHL
## 500 500
## CIP31CERT1 CIP31CERT2
## 500 500
## CIP31ASSOC CIP31CERT4
## 500 500
## CIP31BACHL CIP38CERT1
## 500 500
## CIP38CERT2 CIP38ASSOC
## 500 500
## CIP38CERT4 CIP38BACHL
## 500 500
## CIP39CERT1 CIP39CERT2
## 500 500
## CIP39ASSOC CIP39CERT4
## 500 500
## CIP39BACHL CIP40CERT1
## 500 500
## CIP40CERT2 CIP40ASSOC
## 500 500
## CIP40CERT4 CIP40BACHL
## 500 500
## CIP41CERT1 CIP41CERT2
## 500 500
## CIP41ASSOC CIP41CERT4
## 500 500
## CIP41BACHL CIP42CERT1
## 500 500
## CIP42CERT2 CIP42ASSOC
## 500 500
## CIP42CERT4 CIP42BACHL
## 500 500
## CIP43CERT1 CIP43CERT2
## 500 500
## CIP43ASSOC CIP43CERT4
## 500 500
## CIP43BACHL CIP44CERT1
## 500 500
## CIP44CERT2 CIP44ASSOC
## 500 500
## CIP44CERT4 CIP44BACHL
## 500 500
## CIP45CERT1 CIP45CERT2
## 500 500
## CIP45ASSOC CIP45CERT4
## 500 500
## CIP45BACHL CIP46CERT1
## 500 500
## CIP46CERT2 CIP46ASSOC
## 500 500
## CIP46CERT4 CIP46BACHL
## 500 500
## CIP47CERT1 CIP47CERT2
## 500 500
## CIP47ASSOC CIP47CERT4
## 500 500
## CIP47BACHL CIP48CERT1
## 500 500
## CIP48CERT2 CIP48ASSOC
## 500 500
## CIP48CERT4 CIP48BACHL
## 500 500
## CIP49CERT1 CIP49CERT2
## 500 500
## CIP49ASSOC CIP49CERT4
## 500 500
## CIP49BACHL CIP50CERT1
## 500 500
## CIP50CERT2 CIP50ASSOC
## 500 500
## CIP50CERT4 CIP50BACHL
## 500 500
## CIP51CERT1 CIP51CERT2
## 500 500
## CIP51ASSOC CIP51CERT4
## 500 500
## CIP51BACHL CIP52CERT1
## 500 500
## CIP52CERT2 CIP52ASSOC
## 500 500
## CIP52CERT4 CIP52BACHL
## 500 500
## CIP54CERT1 CIP54CERT2
## 500 500
## CIP54ASSOC CIP54CERT4
## 500 500
## CIP54BACHL DISTANCEONLY
## 500 495
## UGDS UG
## 768 6484
## UGDS_WHITE UGDS_BLACK
## 768 768
## UGDS_HISP UGDS_ASIAN
## 768 768
## UGDS_AIAN UGDS_NHPI
## 768 768
## UGDS_2MOR UGDS_NRA
## 768 768
## UGDS_UNKN UGDS_WHITENH
## 768 6484
## UGDS_BLACKNH UGDS_API
## 6484 6484
## UGDS_AIANOLD UGDS_HISPOLD
## 6484 6484
## UG_NRA UG_UNKN
## 6484 6484
## UG_WHITENH UG_BLACKNH
## 6484 6484
## UG_API UG_AIANOLD
## 6484 6484
## UG_HISPOLD PPTUG_EF
## 6484 796
## PPTUG_EF2 CURROPER
## 6484 0
## NPT4_PUB NPT4_PRIV
## 4651 3052
## NPT4_PROG NPT4_OTHER
## 6484 6484
## NPT41_PUB NPT42_PUB
## 4666 4734
## NPT43_PUB NPT44_PUB
## 4781 4916
## NPT45_PUB NPT41_PRIV
## 5143 3116
## NPT42_PRIV NPT43_PRIV
## 3730 3927
## NPT44_PRIV NPT45_PRIV
## 4313 4625
## NPT41_PROG NPT42_PROG
## 6484 6484
## NPT43_PROG NPT44_PROG
## 6484 6484
## NPT45_PROG NPT41_OTHER
## 6484 6484
## NPT42_OTHER NPT43_OTHER
## 6484 6484
## NPT44_OTHER NPT45_OTHER
## 6484 6484
## NPT4_048_PUB NPT4_048_PRIV
## 4657 3082
## NPT4_048_PROG NPT4_048_OTHER
## 6484 6484
## NPT4_3075_PUB NPT4_3075_PRIV
## 4712 3580
## NPT4_75UP_PUB NPT4_75UP_PRIV
## 4893 4182
## NPT4_3075_PROG NPT4_3075_OTHER
## 6484 6484
## NPT4_75UP_PROG NPT4_75UP_OTHER
## 6484 6484
## NUM4_PUB NUM4_PRIV
## 4650 3052
## NUM4_PROG NUM4_OTHER
## 6484 6484
## NUM41_PUB NUM42_PUB
## 4650 4650
## NUM43_PUB NUM44_PUB
## 4650 4650
## NUM45_PUB NUM41_PRIV
## 4650 3052
## NUM42_PRIV NUM43_PRIV
## 3052 3052
## NUM44_PRIV NUM45_PRIV
## 3052 3052
## NUM41_PROG NUM42_PROG
## 6484 6484
## NUM43_PROG NUM44_PROG
## 6484 6484
## NUM45_PROG NUM41_OTHER
## 6484 6484
## NUM42_OTHER NUM43_OTHER
## 6484 6484
## NUM44_OTHER NUM45_OTHER
## 6484 6484
## COSTT4_A COSTT4_P
## 3168 4533
## TUITIONFEE_IN TUITIONFEE_OUT
## 2713 2713
## TUITIONFEE_PROG TUITFTE
## 4314 524
## INEXPFTE AVGFACSAL
## 524 2596
## PFTFAC PCTPELL
## 2949 813
## C150_4 C150_L4
## 4204 3407
## C150_4_POOLED C150_L4_POOLED
## 4181 3386
## POOLYRS PFTFTUG1_EF
## 1083 1068
## D150_4 D150_L4
## 4204 3407
## D150_4_POOLED D150_L4_POOLED
## 4181 3386
## C150_4_WHITE C150_4_BLACK
## 4325 4514
## C150_4_HISP C150_4_ASIAN
## 4451 4732
## C150_4_AIAN C150_4_NHPI
## 5144 5570
## C150_4_2MOR C150_4_NRA
## 4736 4869
## C150_4_UNKN C150_4_WHITENH
## 4816 6484
## C150_4_BLACKNH C150_4_API
## 6484 6484
## C150_4_AIANOLD C150_4_HISPOLD
## 6484 6484
## C150_L4_WHITE C150_L4_BLACK
## 5040 5135
## C150_L4_HISP C150_L4_ASIAN
## 5126 5413
## C150_L4_AIAN C150_L4_NHPI
## 5591 5870
## C150_L4_2MOR C150_L4_NRA
## 5311 5898
## C150_L4_UNKN C150_L4_WHITENH
## 5482 6484
## C150_L4_BLACKNH C150_L4_API
## 6484 6484
## C150_L4_AIANOLD C150_L4_HISPOLD
## 6484 6484
## C200_4 C200_L4
## 4509 3465
## D200_4 D200_L4
## 4509 3465
## RET_FT4 RET_FTL4
## 4390 3510
## RET_PT4 RET_PTL4
## 5110 4825
## C200_4_POOLED C200_L4_POOLED
## 4497 3440
## POOLYRS200 D200_4_POOLED
## 1419 4468
## D200_L4_POOLED PCTFLOAN
## 3435 813
## UG25ABV CDR2
## 6484 6484
## CDR3 DEATH_YR2_RT
## 798 6484
## COMP_ORIG_YR2_RT COMP_4YR_TRANS_YR2_RT
## 6484 6484
## COMP_2YR_TRANS_YR2_RT WDRAW_ORIG_YR2_RT
## 6484 6484
## WDRAW_4YR_TRANS_YR2_RT WDRAW_2YR_TRANS_YR2_RT
## 6484 6484
## ENRL_ORIG_YR2_RT ENRL_4YR_TRANS_YR2_RT
## 6484 6484
## ENRL_2YR_TRANS_YR2_RT UNKN_ORIG_YR2_RT
## 6484 6484
## UNKN_4YR_TRANS_YR2_RT UNKN_2YR_TRANS_YR2_RT
## 6484 6484
## LO_INC_DEATH_YR2_RT LO_INC_COMP_ORIG_YR2_RT
## 6484 6484
## LO_INC_COMP_4YR_TRANS_YR2_RT LO_INC_COMP_2YR_TRANS_YR2_RT
## 6484 6484
## LO_INC_WDRAW_ORIG_YR2_RT LO_INC_WDRAW_4YR_TRANS_YR2_RT
## 6484 6484
## LO_INC_WDRAW_2YR_TRANS_YR2_RT LO_INC_ENRL_ORIG_YR2_RT
## 6484 6484
## LO_INC_ENRL_4YR_TRANS_YR2_RT LO_INC_ENRL_2YR_TRANS_YR2_RT
## 6484 6484
## LO_INC_UNKN_ORIG_YR2_RT LO_INC_UNKN_4YR_TRANS_YR2_RT
## 6484 6484
## LO_INC_UNKN_2YR_TRANS_YR2_RT MD_INC_DEATH_YR2_RT
## 6484 6484
## MD_INC_COMP_ORIG_YR2_RT MD_INC_COMP_4YR_TRANS_YR2_RT
## 6484 6484
## MD_INC_COMP_2YR_TRANS_YR2_RT MD_INC_WDRAW_ORIG_YR2_RT
## 6484 6484
## MD_INC_WDRAW_4YR_TRANS_YR2_RT MD_INC_WDRAW_2YR_TRANS_YR2_RT
## 6484 6484
## MD_INC_ENRL_ORIG_YR2_RT MD_INC_ENRL_4YR_TRANS_YR2_RT
## 6484 6484
## MD_INC_ENRL_2YR_TRANS_YR2_RT MD_INC_UNKN_ORIG_YR2_RT
## 6484 6484
## MD_INC_UNKN_4YR_TRANS_YR2_RT MD_INC_UNKN_2YR_TRANS_YR2_RT
## 6484 6484
## HI_INC_DEATH_YR2_RT HI_INC_COMP_ORIG_YR2_RT
## 6484 6484
## HI_INC_COMP_4YR_TRANS_YR2_RT HI_INC_COMP_2YR_TRANS_YR2_RT
## 6484 6484
## HI_INC_WDRAW_ORIG_YR2_RT HI_INC_WDRAW_4YR_TRANS_YR2_RT
## 6484 6484
## HI_INC_WDRAW_2YR_TRANS_YR2_RT HI_INC_ENRL_ORIG_YR2_RT
## 6484 6484
## HI_INC_ENRL_4YR_TRANS_YR2_RT HI_INC_ENRL_2YR_TRANS_YR2_RT
## 6484 6484
## HI_INC_UNKN_ORIG_YR2_RT HI_INC_UNKN_4YR_TRANS_YR2_RT
## 6484 6484
## HI_INC_UNKN_2YR_TRANS_YR2_RT DEP_DEATH_YR2_RT
## 6484 6484
## DEP_COMP_ORIG_YR2_RT DEP_COMP_4YR_TRANS_YR2_RT
## 6484 6484
## DEP_COMP_2YR_TRANS_YR2_RT DEP_WDRAW_ORIG_YR2_RT
## 6484 6484
## DEP_WDRAW_4YR_TRANS_YR2_RT DEP_WDRAW_2YR_TRANS_YR2_RT
## 6484 6484
## DEP_ENRL_ORIG_YR2_RT DEP_ENRL_4YR_TRANS_YR2_RT
## 6484 6484
## DEP_ENRL_2YR_TRANS_YR2_RT DEP_UNKN_ORIG_YR2_RT
## 6484 6484
## DEP_UNKN_4YR_TRANS_YR2_RT DEP_UNKN_2YR_TRANS_YR2_RT
## 6484 6484
## IND_DEATH_YR2_RT IND_COMP_ORIG_YR2_RT
## 6484 6484
## IND_COMP_4YR_TRANS_YR2_RT IND_COMP_2YR_TRANS_YR2_RT
## 6484 6484
## IND_WDRAW_ORIG_YR2_RT IND_WDRAW_4YR_TRANS_YR2_RT
## 6484 6484
## IND_WDRAW_2YR_TRANS_YR2_RT IND_ENRL_ORIG_YR2_RT
## 6484 6484
## IND_ENRL_4YR_TRANS_YR2_RT IND_ENRL_2YR_TRANS_YR2_RT
## 6484 6484
## IND_UNKN_ORIG_YR2_RT IND_UNKN_4YR_TRANS_YR2_RT
## 6484 6484
## IND_UNKN_2YR_TRANS_YR2_RT FEMALE_DEATH_YR2_RT
## 6484 6484
## FEMALE_COMP_ORIG_YR2_RT FEMALE_COMP_4YR_TRANS_YR2_RT
## 6484 6484
## FEMALE_COMP_2YR_TRANS_YR2_RT FEMALE_WDRAW_ORIG_YR2_RT
## 6484 6484
## FEMALE_WDRAW_4YR_TRANS_YR2_RT FEMALE_WDRAW_2YR_TRANS_YR2_RT
## 6484 6484
## FEMALE_ENRL_ORIG_YR2_RT FEMALE_ENRL_4YR_TRANS_YR2_RT
## 6484 6484
## FEMALE_ENRL_2YR_TRANS_YR2_RT FEMALE_UNKN_ORIG_YR2_RT
## 6484 6484
## FEMALE_UNKN_4YR_TRANS_YR2_RT FEMALE_UNKN_2YR_TRANS_YR2_RT
## 6484 6484
## MALE_DEATH_YR2_RT MALE_COMP_ORIG_YR2_RT
## 6484 6484
## MALE_COMP_4YR_TRANS_YR2_RT MALE_COMP_2YR_TRANS_YR2_RT
## 6484 6484
## MALE_WDRAW_ORIG_YR2_RT MALE_WDRAW_4YR_TRANS_YR2_RT
## 6484 6484
## MALE_WDRAW_2YR_TRANS_YR2_RT MALE_ENRL_ORIG_YR2_RT
## 6484 6484
## MALE_ENRL_4YR_TRANS_YR2_RT MALE_ENRL_2YR_TRANS_YR2_RT
## 6484 6484
## MALE_UNKN_ORIG_YR2_RT MALE_UNKN_4YR_TRANS_YR2_RT
## 6484 6484
## MALE_UNKN_2YR_TRANS_YR2_RT PELL_DEATH_YR2_RT
## 6484 6484
## PELL_COMP_ORIG_YR2_RT PELL_COMP_4YR_TRANS_YR2_RT
## 6484 6484
## PELL_COMP_2YR_TRANS_YR2_RT PELL_WDRAW_ORIG_YR2_RT
## 6484 6484
## PELL_WDRAW_4YR_TRANS_YR2_RT PELL_WDRAW_2YR_TRANS_YR2_RT
## 6484 6484
## PELL_ENRL_ORIG_YR2_RT PELL_ENRL_4YR_TRANS_YR2_RT
## 6484 6484
## PELL_ENRL_2YR_TRANS_YR2_RT PELL_UNKN_ORIG_YR2_RT
## 6484 6484
## PELL_UNKN_4YR_TRANS_YR2_RT PELL_UNKN_2YR_TRANS_YR2_RT
## 6484 6484
## NOPELL_DEATH_YR2_RT NOPELL_COMP_ORIG_YR2_RT
## 6484 6484
## NOPELL_COMP_4YR_TRANS_YR2_RT NOPELL_COMP_2YR_TRANS_YR2_RT
## 6484 6484
## NOPELL_WDRAW_ORIG_YR2_RT NOPELL_WDRAW_4YR_TRANS_YR2_RT
## 6484 6484
## NOPELL_WDRAW_2YR_TRANS_YR2_RT NOPELL_ENRL_ORIG_YR2_RT
## 6484 6484
## NOPELL_ENRL_4YR_TRANS_YR2_RT NOPELL_ENRL_2YR_TRANS_YR2_RT
## 6484 6484
## NOPELL_UNKN_ORIG_YR2_RT NOPELL_UNKN_4YR_TRANS_YR2_RT
## 6484 6484
## NOPELL_UNKN_2YR_TRANS_YR2_RT LOAN_DEATH_YR2_RT
## 6484 6484
## LOAN_COMP_ORIG_YR2_RT LOAN_COMP_4YR_TRANS_YR2_RT
## 6484 6484
## LOAN_COMP_2YR_TRANS_YR2_RT LOAN_WDRAW_ORIG_YR2_RT
## 6484 6484
## LOAN_WDRAW_4YR_TRANS_YR2_RT LOAN_WDRAW_2YR_TRANS_YR2_RT
## 6484 6484
## LOAN_ENRL_ORIG_YR2_RT LOAN_ENRL_4YR_TRANS_YR2_RT
## 6484 6484
## LOAN_ENRL_2YR_TRANS_YR2_RT LOAN_UNKN_ORIG_YR2_RT
## 6484 6484
## LOAN_UNKN_4YR_TRANS_YR2_RT LOAN_UNKN_2YR_TRANS_YR2_RT
## 6484 6484
## NOLOAN_DEATH_YR2_RT NOLOAN_COMP_ORIG_YR2_RT
## 6484 6484
## NOLOAN_COMP_4YR_TRANS_YR2_RT NOLOAN_COMP_2YR_TRANS_YR2_RT
## 6484 6484
## NOLOAN_WDRAW_ORIG_YR2_RT NOLOAN_WDRAW_4YR_TRANS_YR2_RT
## 6484 6484
## NOLOAN_WDRAW_2YR_TRANS_YR2_RT NOLOAN_ENRL_ORIG_YR2_RT
## 6484 6484
## NOLOAN_ENRL_4YR_TRANS_YR2_RT NOLOAN_ENRL_2YR_TRANS_YR2_RT
## 6484 6484
## NOLOAN_UNKN_ORIG_YR2_RT NOLOAN_UNKN_4YR_TRANS_YR2_RT
## 6484 6484
## NOLOAN_UNKN_2YR_TRANS_YR2_RT FIRSTGEN_DEATH_YR2_RT
## 6484 6484
## FIRSTGEN_COMP_ORIG_YR2_RT FIRSTGEN_COMP_4YR_TRANS_YR2_RT
## 6484 6484
## FIRSTGEN_COMP_2YR_TRANS_YR2_RT FIRSTGEN_WDRAW_ORIG_YR2_RT
## 6484 6484
## FIRSTGEN_WDRAW_4YR_TRANS_YR2_RT FIRSTGEN_WDRAW_2YR_TRANS_YR2_RT
## 6484 6484
## FIRSTGEN_ENRL_ORIG_YR2_RT FIRSTGEN_ENRL_4YR_TRANS_YR2_RT
## 6484 6484
## FIRSTGEN_ENRL_2YR_TRANS_YR2_RT FIRSTGEN_UNKN_ORIG_YR2_RT
## 6484 6484
## FIRSTGEN_UNKN_4YR_TRANS_YR2_RT FIRSTGEN_UNKN_2YR_TRANS_YR2_RT
## 6484 6484
## NOT1STGEN_DEATH_YR2_RT NOT1STGEN_COMP_ORIG_YR2_RT
## 6484 6484
## NOT1STGEN_COMP_4YR_TRANS_YR2_RT NOT1STGEN_COMP_2YR_TRANS_YR2_RT
## 6484 6484
## NOT1STGEN_WDRAW_ORIG_YR2_RT NOT1STGEN_WDRAW_4YR_TRANS_YR2_RT
## 6484 6484
## NOT1STGEN_WDRAW_2YR_TRANS_YR2_RT NOT1STGEN_ENRL_ORIG_YR2_RT
## 6484 6484
## NOT1STGEN_ENRL_4YR_TRANS_YR2_RT NOT1STGEN_ENRL_2YR_TRANS_YR2_RT
## 6484 6484
## NOT1STGEN_UNKN_ORIG_YR2_RT NOT1STGEN_UNKN_4YR_TRANS_YR2_RT
## 6484 6484
## NOT1STGEN_UNKN_2YR_TRANS_YR2_RT DEATH_YR3_RT
## 6484 6484
## COMP_ORIG_YR3_RT COMP_4YR_TRANS_YR3_RT
## 6484 6484
## COMP_2YR_TRANS_YR3_RT WDRAW_ORIG_YR3_RT
## 6484 6484
## WDRAW_4YR_TRANS_YR3_RT WDRAW_2YR_TRANS_YR3_RT
## 6484 6484
## ENRL_ORIG_YR3_RT ENRL_4YR_TRANS_YR3_RT
## 6484 6484
## ENRL_2YR_TRANS_YR3_RT UNKN_ORIG_YR3_RT
## 6484 6484
## UNKN_4YR_TRANS_YR3_RT UNKN_2YR_TRANS_YR3_RT
## 6484 6484
## LO_INC_DEATH_YR3_RT LO_INC_COMP_ORIG_YR3_RT
## 6484 6484
## LO_INC_COMP_4YR_TRANS_YR3_RT LO_INC_COMP_2YR_TRANS_YR3_RT
## 6484 6484
## LO_INC_WDRAW_ORIG_YR3_RT LO_INC_WDRAW_4YR_TRANS_YR3_RT
## 6484 6484
## LO_INC_WDRAW_2YR_TRANS_YR3_RT LO_INC_ENRL_ORIG_YR3_RT
## 6484 6484
## LO_INC_ENRL_4YR_TRANS_YR3_RT LO_INC_ENRL_2YR_TRANS_YR3_RT
## 6484 6484
## LO_INC_UNKN_ORIG_YR3_RT LO_INC_UNKN_4YR_TRANS_YR3_RT
## 6484 6484
## LO_INC_UNKN_2YR_TRANS_YR3_RT MD_INC_DEATH_YR3_RT
## 6484 6484
## MD_INC_COMP_ORIG_YR3_RT MD_INC_COMP_4YR_TRANS_YR3_RT
## 6484 6484
## MD_INC_COMP_2YR_TRANS_YR3_RT MD_INC_WDRAW_ORIG_YR3_RT
## 6484 6484
## MD_INC_WDRAW_4YR_TRANS_YR3_RT MD_INC_WDRAW_2YR_TRANS_YR3_RT
## 6484 6484
## MD_INC_ENRL_ORIG_YR3_RT MD_INC_ENRL_4YR_TRANS_YR3_RT
## 6484 6484
## MD_INC_ENRL_2YR_TRANS_YR3_RT MD_INC_UNKN_ORIG_YR3_RT
## 6484 6484
## MD_INC_UNKN_4YR_TRANS_YR3_RT MD_INC_UNKN_2YR_TRANS_YR3_RT
## 6484 6484
## HI_INC_DEATH_YR3_RT HI_INC_COMP_ORIG_YR3_RT
## 6484 6484
## HI_INC_COMP_4YR_TRANS_YR3_RT HI_INC_COMP_2YR_TRANS_YR3_RT
## 6484 6484
## HI_INC_WDRAW_ORIG_YR3_RT HI_INC_WDRAW_4YR_TRANS_YR3_RT
## 6484 6484
## HI_INC_WDRAW_2YR_TRANS_YR3_RT HI_INC_ENRL_ORIG_YR3_RT
## 6484 6484
## HI_INC_ENRL_4YR_TRANS_YR3_RT HI_INC_ENRL_2YR_TRANS_YR3_RT
## 6484 6484
## HI_INC_UNKN_ORIG_YR3_RT HI_INC_UNKN_4YR_TRANS_YR3_RT
## 6484 6484
## HI_INC_UNKN_2YR_TRANS_YR3_RT DEP_DEATH_YR3_RT
## 6484 6484
## DEP_COMP_ORIG_YR3_RT DEP_COMP_4YR_TRANS_YR3_RT
## 6484 6484
## DEP_COMP_2YR_TRANS_YR3_RT DEP_WDRAW_ORIG_YR3_RT
## 6484 6484
## DEP_WDRAW_4YR_TRANS_YR3_RT DEP_WDRAW_2YR_TRANS_YR3_RT
## 6484 6484
## DEP_ENRL_ORIG_YR3_RT DEP_ENRL_4YR_TRANS_YR3_RT
## 6484 6484
## DEP_ENRL_2YR_TRANS_YR3_RT DEP_UNKN_ORIG_YR3_RT
## 6484 6484
## DEP_UNKN_4YR_TRANS_YR3_RT DEP_UNKN_2YR_TRANS_YR3_RT
## 6484 6484
## IND_DEATH_YR3_RT IND_COMP_ORIG_YR3_RT
## 6484 6484
## IND_COMP_4YR_TRANS_YR3_RT IND_COMP_2YR_TRANS_YR3_RT
## 6484 6484
## IND_WDRAW_ORIG_YR3_RT IND_WDRAW_4YR_TRANS_YR3_RT
## 6484 6484
## IND_WDRAW_2YR_TRANS_YR3_RT IND_ENRL_ORIG_YR3_RT
## 6484 6484
## IND_ENRL_4YR_TRANS_YR3_RT IND_ENRL_2YR_TRANS_YR3_RT
## 6484 6484
## IND_UNKN_ORIG_YR3_RT IND_UNKN_4YR_TRANS_YR3_RT
## 6484 6484
## IND_UNKN_2YR_TRANS_YR3_RT FEMALE_DEATH_YR3_RT
## 6484 6484
## FEMALE_COMP_ORIG_YR3_RT FEMALE_COMP_4YR_TRANS_YR3_RT
## 6484 6484
## FEMALE_COMP_2YR_TRANS_YR3_RT FEMALE_WDRAW_ORIG_YR3_RT
## 6484 6484
## FEMALE_WDRAW_4YR_TRANS_YR3_RT FEMALE_WDRAW_2YR_TRANS_YR3_RT
## 6484 6484
## FEMALE_ENRL_ORIG_YR3_RT FEMALE_ENRL_4YR_TRANS_YR3_RT
## 6484 6484
## FEMALE_ENRL_2YR_TRANS_YR3_RT FEMALE_UNKN_ORIG_YR3_RT
## 6484 6484
## FEMALE_UNKN_4YR_TRANS_YR3_RT FEMALE_UNKN_2YR_TRANS_YR3_RT
## 6484 6484
## MALE_DEATH_YR3_RT MALE_COMP_ORIG_YR3_RT
## 6484 6484
## MALE_COMP_4YR_TRANS_YR3_RT MALE_COMP_2YR_TRANS_YR3_RT
## 6484 6484
## MALE_WDRAW_ORIG_YR3_RT MALE_WDRAW_4YR_TRANS_YR3_RT
## 6484 6484
## MALE_WDRAW_2YR_TRANS_YR3_RT MALE_ENRL_ORIG_YR3_RT
## 6484 6484
## MALE_ENRL_4YR_TRANS_YR3_RT MALE_ENRL_2YR_TRANS_YR3_RT
## 6484 6484
## MALE_UNKN_ORIG_YR3_RT MALE_UNKN_4YR_TRANS_YR3_RT
## 6484 6484
## MALE_UNKN_2YR_TRANS_YR3_RT PELL_DEATH_YR3_RT
## 6484 6484
## PELL_COMP_ORIG_YR3_RT PELL_COMP_4YR_TRANS_YR3_RT
## 6484 6484
## PELL_COMP_2YR_TRANS_YR3_RT PELL_WDRAW_ORIG_YR3_RT
## 6484 6484
## PELL_WDRAW_4YR_TRANS_YR3_RT PELL_WDRAW_2YR_TRANS_YR3_RT
## 6484 6484
## PELL_ENRL_ORIG_YR3_RT PELL_ENRL_4YR_TRANS_YR3_RT
## 6484 6484
## PELL_ENRL_2YR_TRANS_YR3_RT PELL_UNKN_ORIG_YR3_RT
## 6484 6484
## PELL_UNKN_4YR_TRANS_YR3_RT PELL_UNKN_2YR_TRANS_YR3_RT
## 6484 6484
## NOPELL_DEATH_YR3_RT NOPELL_COMP_ORIG_YR3_RT
## 6484 6484
## NOPELL_COMP_4YR_TRANS_YR3_RT NOPELL_COMP_2YR_TRANS_YR3_RT
## 6484 6484
## NOPELL_WDRAW_ORIG_YR3_RT NOPELL_WDRAW_4YR_TRANS_YR3_RT
## 6484 6484
## NOPELL_WDRAW_2YR_TRANS_YR3_RT NOPELL_ENRL_ORIG_YR3_RT
## 6484 6484
## NOPELL_ENRL_4YR_TRANS_YR3_RT NOPELL_ENRL_2YR_TRANS_YR3_RT
## 6484 6484
## NOPELL_UNKN_ORIG_YR3_RT NOPELL_UNKN_4YR_TRANS_YR3_RT
## 6484 6484
## NOPELL_UNKN_2YR_TRANS_YR3_RT LOAN_DEATH_YR3_RT
## 6484 6484
## LOAN_COMP_ORIG_YR3_RT LOAN_COMP_4YR_TRANS_YR3_RT
## 6484 6484
## LOAN_COMP_2YR_TRANS_YR3_RT LOAN_WDRAW_ORIG_YR3_RT
## 6484 6484
## LOAN_WDRAW_4YR_TRANS_YR3_RT LOAN_WDRAW_2YR_TRANS_YR3_RT
## 6484 6484
## LOAN_ENRL_ORIG_YR3_RT LOAN_ENRL_4YR_TRANS_YR3_RT
## 6484 6484
## LOAN_ENRL_2YR_TRANS_YR3_RT LOAN_UNKN_ORIG_YR3_RT
## 6484 6484
## LOAN_UNKN_4YR_TRANS_YR3_RT LOAN_UNKN_2YR_TRANS_YR3_RT
## 6484 6484
## NOLOAN_DEATH_YR3_RT NOLOAN_COMP_ORIG_YR3_RT
## 6484 6484
## NOLOAN_COMP_4YR_TRANS_YR3_RT NOLOAN_COMP_2YR_TRANS_YR3_RT
## 6484 6484
## NOLOAN_WDRAW_ORIG_YR3_RT NOLOAN_WDRAW_4YR_TRANS_YR3_RT
## 6484 6484
## NOLOAN_WDRAW_2YR_TRANS_YR3_RT NOLOAN_ENRL_ORIG_YR3_RT
## 6484 6484
## NOLOAN_ENRL_4YR_TRANS_YR3_RT NOLOAN_ENRL_2YR_TRANS_YR3_RT
## 6484 6484
## NOLOAN_UNKN_ORIG_YR3_RT NOLOAN_UNKN_4YR_TRANS_YR3_RT
## 6484 6484
## NOLOAN_UNKN_2YR_TRANS_YR3_RT FIRSTGEN_DEATH_YR3_RT
## 6484 6484
## FIRSTGEN_COMP_ORIG_YR3_RT FIRSTGEN_COMP_4YR_TRANS_YR3_RT
## 6484 6484
## FIRSTGEN_COMP_2YR_TRANS_YR3_RT FIRSTGEN_WDRAW_ORIG_YR3_RT
## 6484 6484
## FIRSTGEN_WDRAW_4YR_TRANS_YR3_RT FIRSTGEN_WDRAW_2YR_TRANS_YR3_RT
## 6484 6484
## FIRSTGEN_ENRL_ORIG_YR3_RT FIRSTGEN_ENRL_4YR_TRANS_YR3_RT
## 6484 6484
## FIRSTGEN_ENRL_2YR_TRANS_YR3_RT FIRSTGEN_UNKN_ORIG_YR3_RT
## 6484 6484
## FIRSTGEN_UNKN_4YR_TRANS_YR3_RT FIRSTGEN_UNKN_2YR_TRANS_YR3_RT
## 6484 6484
## NOT1STGEN_DEATH_YR3_RT NOT1STGEN_COMP_ORIG_YR3_RT
## 6484 6484
## NOT1STGEN_COMP_4YR_TRANS_YR3_RT NOT1STGEN_COMP_2YR_TRANS_YR3_RT
## 6484 6484
## NOT1STGEN_WDRAW_ORIG_YR3_RT NOT1STGEN_WDRAW_4YR_TRANS_YR3_RT
## 6484 6484
## NOT1STGEN_WDRAW_2YR_TRANS_YR3_RT NOT1STGEN_ENRL_ORIG_YR3_RT
## 6484 6484
## NOT1STGEN_ENRL_4YR_TRANS_YR3_RT NOT1STGEN_ENRL_2YR_TRANS_YR3_RT
## 6484 6484
## NOT1STGEN_UNKN_ORIG_YR3_RT NOT1STGEN_UNKN_4YR_TRANS_YR3_RT
## 6484 6484
## NOT1STGEN_UNKN_2YR_TRANS_YR3_RT DEATH_YR4_RT
## 6484 6484
## COMP_ORIG_YR4_RT COMP_4YR_TRANS_YR4_RT
## 6484 6484
## COMP_2YR_TRANS_YR4_RT WDRAW_ORIG_YR4_RT
## 6484 6484
## WDRAW_4YR_TRANS_YR4_RT WDRAW_2YR_TRANS_YR4_RT
## 6484 6484
## ENRL_ORIG_YR4_RT ENRL_4YR_TRANS_YR4_RT
## 6484 6484
## ENRL_2YR_TRANS_YR4_RT UNKN_ORIG_YR4_RT
## 6484 6484
## UNKN_4YR_TRANS_YR4_RT UNKN_2YR_TRANS_YR4_RT
## 6484 6484
## LO_INC_DEATH_YR4_RT LO_INC_COMP_ORIG_YR4_RT
## 6484 6484
## LO_INC_COMP_4YR_TRANS_YR4_RT LO_INC_COMP_2YR_TRANS_YR4_RT
## 6484 6484
## LO_INC_WDRAW_ORIG_YR4_RT LO_INC_WDRAW_4YR_TRANS_YR4_RT
## 6484 6484
## LO_INC_WDRAW_2YR_TRANS_YR4_RT LO_INC_ENRL_ORIG_YR4_RT
## 6484 6484
## LO_INC_ENRL_4YR_TRANS_YR4_RT LO_INC_ENRL_2YR_TRANS_YR4_RT
## 6484 6484
## LO_INC_UNKN_ORIG_YR4_RT LO_INC_UNKN_4YR_TRANS_YR4_RT
## 6484 6484
## LO_INC_UNKN_2YR_TRANS_YR4_RT MD_INC_DEATH_YR4_RT
## 6484 6484
## MD_INC_COMP_ORIG_YR4_RT MD_INC_COMP_4YR_TRANS_YR4_RT
## 6484 6484
## MD_INC_COMP_2YR_TRANS_YR4_RT MD_INC_WDRAW_ORIG_YR4_RT
## 6484 6484
## MD_INC_WDRAW_4YR_TRANS_YR4_RT MD_INC_WDRAW_2YR_TRANS_YR4_RT
## 6484 6484
## MD_INC_ENRL_ORIG_YR4_RT MD_INC_ENRL_4YR_TRANS_YR4_RT
## 6484 6484
## MD_INC_ENRL_2YR_TRANS_YR4_RT MD_INC_UNKN_ORIG_YR4_RT
## 6484 6484
## MD_INC_UNKN_4YR_TRANS_YR4_RT MD_INC_UNKN_2YR_TRANS_YR4_RT
## 6484 6484
## HI_INC_DEATH_YR4_RT HI_INC_COMP_ORIG_YR4_RT
## 6484 6484
## HI_INC_COMP_4YR_TRANS_YR4_RT HI_INC_COMP_2YR_TRANS_YR4_RT
## 6484 6484
## HI_INC_WDRAW_ORIG_YR4_RT HI_INC_WDRAW_4YR_TRANS_YR4_RT
## 6484 6484
## HI_INC_WDRAW_2YR_TRANS_YR4_RT HI_INC_ENRL_ORIG_YR4_RT
## 6484 6484
## HI_INC_ENRL_4YR_TRANS_YR4_RT HI_INC_ENRL_2YR_TRANS_YR4_RT
## 6484 6484
## HI_INC_UNKN_ORIG_YR4_RT HI_INC_UNKN_4YR_TRANS_YR4_RT
## 6484 6484
## HI_INC_UNKN_2YR_TRANS_YR4_RT DEP_DEATH_YR4_RT
## 6484 6484
## DEP_COMP_ORIG_YR4_RT DEP_COMP_4YR_TRANS_YR4_RT
## 6484 6484
## DEP_COMP_2YR_TRANS_YR4_RT DEP_WDRAW_ORIG_YR4_RT
## 6484 6484
## DEP_WDRAW_4YR_TRANS_YR4_RT DEP_WDRAW_2YR_TRANS_YR4_RT
## 6484 6484
## DEP_ENRL_ORIG_YR4_RT DEP_ENRL_4YR_TRANS_YR4_RT
## 6484 6484
## DEP_ENRL_2YR_TRANS_YR4_RT DEP_UNKN_ORIG_YR4_RT
## 6484 6484
## DEP_UNKN_4YR_TRANS_YR4_RT DEP_UNKN_2YR_TRANS_YR4_RT
## 6484 6484
## IND_DEATH_YR4_RT IND_COMP_ORIG_YR4_RT
## 6484 6484
## IND_COMP_4YR_TRANS_YR4_RT IND_COMP_2YR_TRANS_YR4_RT
## 6484 6484
## IND_WDRAW_ORIG_YR4_RT IND_WDRAW_4YR_TRANS_YR4_RT
## 6484 6484
## IND_WDRAW_2YR_TRANS_YR4_RT IND_ENRL_ORIG_YR4_RT
## 6484 6484
## IND_ENRL_4YR_TRANS_YR4_RT IND_ENRL_2YR_TRANS_YR4_RT
## 6484 6484
## IND_UNKN_ORIG_YR4_RT IND_UNKN_4YR_TRANS_YR4_RT
## 6484 6484
## IND_UNKN_2YR_TRANS_YR4_RT FEMALE_DEATH_YR4_RT
## 6484 6484
## FEMALE_COMP_ORIG_YR4_RT FEMALE_COMP_4YR_TRANS_YR4_RT
## 6484 6484
## FEMALE_COMP_2YR_TRANS_YR4_RT FEMALE_WDRAW_ORIG_YR4_RT
## 6484 6484
## FEMALE_WDRAW_4YR_TRANS_YR4_RT FEMALE_WDRAW_2YR_TRANS_YR4_RT
## 6484 6484
## FEMALE_ENRL_ORIG_YR4_RT FEMALE_ENRL_4YR_TRANS_YR4_RT
## 6484 6484
## FEMALE_ENRL_2YR_TRANS_YR4_RT FEMALE_UNKN_ORIG_YR4_RT
## 6484 6484
## FEMALE_UNKN_4YR_TRANS_YR4_RT FEMALE_UNKN_2YR_TRANS_YR4_RT
## 6484 6484
## MALE_DEATH_YR4_RT MALE_COMP_ORIG_YR4_RT
## 6484 6484
## MALE_COMP_4YR_TRANS_YR4_RT MALE_COMP_2YR_TRANS_YR4_RT
## 6484 6484
## MALE_WDRAW_ORIG_YR4_RT MALE_WDRAW_4YR_TRANS_YR4_RT
## 6484 6484
## MALE_WDRAW_2YR_TRANS_YR4_RT MALE_ENRL_ORIG_YR4_RT
## 6484 6484
## MALE_ENRL_4YR_TRANS_YR4_RT MALE_ENRL_2YR_TRANS_YR4_RT
## 6484 6484
## MALE_UNKN_ORIG_YR4_RT MALE_UNKN_4YR_TRANS_YR4_RT
## 6484 6484
## MALE_UNKN_2YR_TRANS_YR4_RT PELL_DEATH_YR4_RT
## 6484 6484
## PELL_COMP_ORIG_YR4_RT PELL_COMP_4YR_TRANS_YR4_RT
## 6484 6484
## PELL_COMP_2YR_TRANS_YR4_RT PELL_WDRAW_ORIG_YR4_RT
## 6484 6484
## PELL_WDRAW_4YR_TRANS_YR4_RT PELL_WDRAW_2YR_TRANS_YR4_RT
## 6484 6484
## PELL_ENRL_ORIG_YR4_RT PELL_ENRL_4YR_TRANS_YR4_RT
## 6484 6484
## PELL_ENRL_2YR_TRANS_YR4_RT PELL_UNKN_ORIG_YR4_RT
## 6484 6484
## PELL_UNKN_4YR_TRANS_YR4_RT PELL_UNKN_2YR_TRANS_YR4_RT
## 6484 6484
## NOPELL_DEATH_YR4_RT NOPELL_COMP_ORIG_YR4_RT
## 6484 6484
## NOPELL_COMP_4YR_TRANS_YR4_RT NOPELL_COMP_2YR_TRANS_YR4_RT
## 6484 6484
## NOPELL_WDRAW_ORIG_YR4_RT NOPELL_WDRAW_4YR_TRANS_YR4_RT
## 6484 6484
## NOPELL_WDRAW_2YR_TRANS_YR4_RT NOPELL_ENRL_ORIG_YR4_RT
## 6484 6484
## NOPELL_ENRL_4YR_TRANS_YR4_RT NOPELL_ENRL_2YR_TRANS_YR4_RT
## 6484 6484
## NOPELL_UNKN_ORIG_YR4_RT NOPELL_UNKN_4YR_TRANS_YR4_RT
## 6484 6484
## NOPELL_UNKN_2YR_TRANS_YR4_RT LOAN_DEATH_YR4_RT
## 6484 6484
## LOAN_COMP_ORIG_YR4_RT LOAN_COMP_4YR_TRANS_YR4_RT
## 6484 6484
## LOAN_COMP_2YR_TRANS_YR4_RT LOAN_WDRAW_ORIG_YR4_RT
## 6484 6484
## LOAN_WDRAW_4YR_TRANS_YR4_RT LOAN_WDRAW_2YR_TRANS_YR4_RT
## 6484 6484
## LOAN_ENRL_ORIG_YR4_RT LOAN_ENRL_4YR_TRANS_YR4_RT
## 6484 6484
## LOAN_ENRL_2YR_TRANS_YR4_RT LOAN_UNKN_ORIG_YR4_RT
## 6484 6484
## LOAN_UNKN_4YR_TRANS_YR4_RT LOAN_UNKN_2YR_TRANS_YR4_RT
## 6484 6484
## NOLOAN_DEATH_YR4_RT NOLOAN_COMP_ORIG_YR4_RT
## 6484 6484
## NOLOAN_COMP_4YR_TRANS_YR4_RT NOLOAN_COMP_2YR_TRANS_YR4_RT
## 6484 6484
## NOLOAN_WDRAW_ORIG_YR4_RT NOLOAN_WDRAW_4YR_TRANS_YR4_RT
## 6484 6484
## NOLOAN_WDRAW_2YR_TRANS_YR4_RT NOLOAN_ENRL_ORIG_YR4_RT
## 6484 6484
## NOLOAN_ENRL_4YR_TRANS_YR4_RT NOLOAN_ENRL_2YR_TRANS_YR4_RT
## 6484 6484
## NOLOAN_UNKN_ORIG_YR4_RT NOLOAN_UNKN_4YR_TRANS_YR4_RT
## 6484 6484
## NOLOAN_UNKN_2YR_TRANS_YR4_RT FIRSTGEN_DEATH_YR4_RT
## 6484 6484
## FIRSTGEN_COMP_ORIG_YR4_RT FIRSTGEN_COMP_4YR_TRANS_YR4_RT
## 6484 6484
## FIRSTGEN_COMP_2YR_TRANS_YR4_RT FIRSTGEN_WDRAW_ORIG_YR4_RT
## 6484 6484
## FIRSTGEN_WDRAW_4YR_TRANS_YR4_RT FIRSTGEN_WDRAW_2YR_TRANS_YR4_RT
## 6484 6484
## FIRSTGEN_ENRL_ORIG_YR4_RT FIRSTGEN_ENRL_4YR_TRANS_YR4_RT
## 6484 6484
## FIRSTGEN_ENRL_2YR_TRANS_YR4_RT FIRSTGEN_UNKN_ORIG_YR4_RT
## 6484 6484
## FIRSTGEN_UNKN_4YR_TRANS_YR4_RT FIRSTGEN_UNKN_2YR_TRANS_YR4_RT
## 6484 6484
## NOT1STGEN_DEATH_YR4_RT NOT1STGEN_COMP_ORIG_YR4_RT
## 6484 6484
## NOT1STGEN_COMP_4YR_TRANS_YR4_RT NOT1STGEN_COMP_2YR_TRANS_YR4_RT
## 6484 6484
## NOT1STGEN_WDRAW_ORIG_YR4_RT NOT1STGEN_WDRAW_4YR_TRANS_YR4_RT
## 6484 6484
## NOT1STGEN_WDRAW_2YR_TRANS_YR4_RT NOT1STGEN_ENRL_ORIG_YR4_RT
## 6484 6484
## NOT1STGEN_ENRL_4YR_TRANS_YR4_RT NOT1STGEN_ENRL_2YR_TRANS_YR4_RT
## 6484 6484
## NOT1STGEN_UNKN_ORIG_YR4_RT NOT1STGEN_UNKN_4YR_TRANS_YR4_RT
## 6484 6484
## NOT1STGEN_UNKN_2YR_TRANS_YR4_RT DEATH_YR6_RT
## 6484 6484
## COMP_ORIG_YR6_RT COMP_4YR_TRANS_YR6_RT
## 6484 6484
## COMP_2YR_TRANS_YR6_RT WDRAW_ORIG_YR6_RT
## 6484 6484
## WDRAW_4YR_TRANS_YR6_RT WDRAW_2YR_TRANS_YR6_RT
## 6484 6484
## ENRL_ORIG_YR6_RT ENRL_4YR_TRANS_YR6_RT
## 6484 6484
## ENRL_2YR_TRANS_YR6_RT UNKN_ORIG_YR6_RT
## 6484 6484
## UNKN_4YR_TRANS_YR6_RT UNKN_2YR_TRANS_YR6_RT
## 6484 6484
## LO_INC_DEATH_YR6_RT LO_INC_COMP_ORIG_YR6_RT
## 6484 6484
## LO_INC_COMP_4YR_TRANS_YR6_RT LO_INC_COMP_2YR_TRANS_YR6_RT
## 6484 6484
## LO_INC_WDRAW_ORIG_YR6_RT LO_INC_WDRAW_4YR_TRANS_YR6_RT
## 6484 6484
## LO_INC_WDRAW_2YR_TRANS_YR6_RT LO_INC_ENRL_ORIG_YR6_RT
## 6484 6484
## LO_INC_ENRL_4YR_TRANS_YR6_RT LO_INC_ENRL_2YR_TRANS_YR6_RT
## 6484 6484
## LO_INC_UNKN_ORIG_YR6_RT LO_INC_UNKN_4YR_TRANS_YR6_RT
## 6484 6484
## LO_INC_UNKN_2YR_TRANS_YR6_RT MD_INC_DEATH_YR6_RT
## 6484 6484
## MD_INC_COMP_ORIG_YR6_RT MD_INC_COMP_4YR_TRANS_YR6_RT
## 6484 6484
## MD_INC_COMP_2YR_TRANS_YR6_RT MD_INC_WDRAW_ORIG_YR6_RT
## 6484 6484
## MD_INC_WDRAW_4YR_TRANS_YR6_RT MD_INC_WDRAW_2YR_TRANS_YR6_RT
## 6484 6484
## MD_INC_ENRL_ORIG_YR6_RT MD_INC_ENRL_4YR_TRANS_YR6_RT
## 6484 6484
## MD_INC_ENRL_2YR_TRANS_YR6_RT MD_INC_UNKN_ORIG_YR6_RT
## 6484 6484
## MD_INC_UNKN_4YR_TRANS_YR6_RT MD_INC_UNKN_2YR_TRANS_YR6_RT
## 6484 6484
## HI_INC_DEATH_YR6_RT HI_INC_COMP_ORIG_YR6_RT
## 6484 6484
## HI_INC_COMP_4YR_TRANS_YR6_RT HI_INC_COMP_2YR_TRANS_YR6_RT
## 6484 6484
## HI_INC_WDRAW_ORIG_YR6_RT HI_INC_WDRAW_4YR_TRANS_YR6_RT
## 6484 6484
## HI_INC_WDRAW_2YR_TRANS_YR6_RT HI_INC_ENRL_ORIG_YR6_RT
## 6484 6484
## HI_INC_ENRL_4YR_TRANS_YR6_RT HI_INC_ENRL_2YR_TRANS_YR6_RT
## 6484 6484
## HI_INC_UNKN_ORIG_YR6_RT HI_INC_UNKN_4YR_TRANS_YR6_RT
## 6484 6484
## HI_INC_UNKN_2YR_TRANS_YR6_RT DEP_DEATH_YR6_RT
## 6484 6484
## DEP_COMP_ORIG_YR6_RT DEP_COMP_4YR_TRANS_YR6_RT
## 6484 6484
## DEP_COMP_2YR_TRANS_YR6_RT DEP_WDRAW_ORIG_YR6_RT
## 6484 6484
## DEP_WDRAW_4YR_TRANS_YR6_RT DEP_WDRAW_2YR_TRANS_YR6_RT
## 6484 6484
## DEP_ENRL_ORIG_YR6_RT DEP_ENRL_4YR_TRANS_YR6_RT
## 6484 6484
## DEP_ENRL_2YR_TRANS_YR6_RT DEP_UNKN_ORIG_YR6_RT
## 6484 6484
## DEP_UNKN_4YR_TRANS_YR6_RT DEP_UNKN_2YR_TRANS_YR6_RT
## 6484 6484
## IND_DEATH_YR6_RT IND_COMP_ORIG_YR6_RT
## 6484 6484
## IND_COMP_4YR_TRANS_YR6_RT IND_COMP_2YR_TRANS_YR6_RT
## 6484 6484
## IND_WDRAW_ORIG_YR6_RT IND_WDRAW_4YR_TRANS_YR6_RT
## 6484 6484
## IND_WDRAW_2YR_TRANS_YR6_RT IND_ENRL_ORIG_YR6_RT
## 6484 6484
## IND_ENRL_4YR_TRANS_YR6_RT IND_ENRL_2YR_TRANS_YR6_RT
## 6484 6484
## IND_UNKN_ORIG_YR6_RT IND_UNKN_4YR_TRANS_YR6_RT
## 6484 6484
## IND_UNKN_2YR_TRANS_YR6_RT FEMALE_DEATH_YR6_RT
## 6484 6484
## FEMALE_COMP_ORIG_YR6_RT FEMALE_COMP_4YR_TRANS_YR6_RT
## 6484 6484
## FEMALE_COMP_2YR_TRANS_YR6_RT FEMALE_WDRAW_ORIG_YR6_RT
## 6484 6484
## FEMALE_WDRAW_4YR_TRANS_YR6_RT FEMALE_WDRAW_2YR_TRANS_YR6_RT
## 6484 6484
## FEMALE_ENRL_ORIG_YR6_RT FEMALE_ENRL_4YR_TRANS_YR6_RT
## 6484 6484
## FEMALE_ENRL_2YR_TRANS_YR6_RT FEMALE_UNKN_ORIG_YR6_RT
## 6484 6484
## FEMALE_UNKN_4YR_TRANS_YR6_RT FEMALE_UNKN_2YR_TRANS_YR6_RT
## 6484 6484
## MALE_DEATH_YR6_RT MALE_COMP_ORIG_YR6_RT
## 6484 6484
## MALE_COMP_4YR_TRANS_YR6_RT MALE_COMP_2YR_TRANS_YR6_RT
## 6484 6484
## MALE_WDRAW_ORIG_YR6_RT MALE_WDRAW_4YR_TRANS_YR6_RT
## 6484 6484
## MALE_WDRAW_2YR_TRANS_YR6_RT MALE_ENRL_ORIG_YR6_RT
## 6484 6484
## MALE_ENRL_4YR_TRANS_YR6_RT MALE_ENRL_2YR_TRANS_YR6_RT
## 6484 6484
## MALE_UNKN_ORIG_YR6_RT MALE_UNKN_4YR_TRANS_YR6_RT
## 6484 6484
## MALE_UNKN_2YR_TRANS_YR6_RT PELL_DEATH_YR6_RT
## 6484 6484
## PELL_COMP_ORIG_YR6_RT PELL_COMP_4YR_TRANS_YR6_RT
## 6484 6484
## PELL_COMP_2YR_TRANS_YR6_RT PELL_WDRAW_ORIG_YR6_RT
## 6484 6484
## PELL_WDRAW_4YR_TRANS_YR6_RT PELL_WDRAW_2YR_TRANS_YR6_RT
## 6484 6484
## PELL_ENRL_ORIG_YR6_RT PELL_ENRL_4YR_TRANS_YR6_RT
## 6484 6484
## PELL_ENRL_2YR_TRANS_YR6_RT PELL_UNKN_ORIG_YR6_RT
## 6484 6484
## PELL_UNKN_4YR_TRANS_YR6_RT PELL_UNKN_2YR_TRANS_YR6_RT
## 6484 6484
## NOPELL_DEATH_YR6_RT NOPELL_COMP_ORIG_YR6_RT
## 6484 6484
## NOPELL_COMP_4YR_TRANS_YR6_RT NOPELL_COMP_2YR_TRANS_YR6_RT
## 6484 6484
## NOPELL_WDRAW_ORIG_YR6_RT NOPELL_WDRAW_4YR_TRANS_YR6_RT
## 6484 6484
## NOPELL_WDRAW_2YR_TRANS_YR6_RT NOPELL_ENRL_ORIG_YR6_RT
## 6484 6484
## NOPELL_ENRL_4YR_TRANS_YR6_RT NOPELL_ENRL_2YR_TRANS_YR6_RT
## 6484 6484
## NOPELL_UNKN_ORIG_YR6_RT NOPELL_UNKN_4YR_TRANS_YR6_RT
## 6484 6484
## NOPELL_UNKN_2YR_TRANS_YR6_RT LOAN_DEATH_YR6_RT
## 6484 6484
## LOAN_COMP_ORIG_YR6_RT LOAN_COMP_4YR_TRANS_YR6_RT
## 6484 6484
## LOAN_COMP_2YR_TRANS_YR6_RT LOAN_WDRAW_ORIG_YR6_RT
## 6484 6484
## LOAN_WDRAW_4YR_TRANS_YR6_RT LOAN_WDRAW_2YR_TRANS_YR6_RT
## 6484 6484
## LOAN_ENRL_ORIG_YR6_RT LOAN_ENRL_4YR_TRANS_YR6_RT
## 6484 6484
## LOAN_ENRL_2YR_TRANS_YR6_RT LOAN_UNKN_ORIG_YR6_RT
## 6484 6484
## LOAN_UNKN_4YR_TRANS_YR6_RT LOAN_UNKN_2YR_TRANS_YR6_RT
## 6484 6484
## NOLOAN_DEATH_YR6_RT NOLOAN_COMP_ORIG_YR6_RT
## 6484 6484
## NOLOAN_COMP_4YR_TRANS_YR6_RT NOLOAN_COMP_2YR_TRANS_YR6_RT
## 6484 6484
## NOLOAN_WDRAW_ORIG_YR6_RT NOLOAN_WDRAW_4YR_TRANS_YR6_RT
## 6484 6484
## NOLOAN_WDRAW_2YR_TRANS_YR6_RT NOLOAN_ENRL_ORIG_YR6_RT
## 6484 6484
## NOLOAN_ENRL_4YR_TRANS_YR6_RT NOLOAN_ENRL_2YR_TRANS_YR6_RT
## 6484 6484
## NOLOAN_UNKN_ORIG_YR6_RT NOLOAN_UNKN_4YR_TRANS_YR6_RT
## 6484 6484
## NOLOAN_UNKN_2YR_TRANS_YR6_RT FIRSTGEN_DEATH_YR6_RT
## 6484 6484
## FIRSTGEN_COMP_ORIG_YR6_RT FIRSTGEN_COMP_4YR_TRANS_YR6_RT
## 6484 6484
## FIRSTGEN_COMP_2YR_TRANS_YR6_RT FIRSTGEN_WDRAW_ORIG_YR6_RT
## 6484 6484
## FIRSTGEN_WDRAW_4YR_TRANS_YR6_RT FIRSTGEN_WDRAW_2YR_TRANS_YR6_RT
## 6484 6484
## FIRSTGEN_ENRL_ORIG_YR6_RT FIRSTGEN_ENRL_4YR_TRANS_YR6_RT
## 6484 6484
## FIRSTGEN_ENRL_2YR_TRANS_YR6_RT FIRSTGEN_UNKN_ORIG_YR6_RT
## 6484 6484
## FIRSTGEN_UNKN_4YR_TRANS_YR6_RT FIRSTGEN_UNKN_2YR_TRANS_YR6_RT
## 6484 6484
## NOT1STGEN_DEATH_YR6_RT NOT1STGEN_COMP_ORIG_YR6_RT
## 6484 6484
## NOT1STGEN_COMP_4YR_TRANS_YR6_RT NOT1STGEN_COMP_2YR_TRANS_YR6_RT
## 6484 6484
## NOT1STGEN_WDRAW_ORIG_YR6_RT NOT1STGEN_WDRAW_4YR_TRANS_YR6_RT
## 6484 6484
## NOT1STGEN_WDRAW_2YR_TRANS_YR6_RT NOT1STGEN_ENRL_ORIG_YR6_RT
## 6484 6484
## NOT1STGEN_ENRL_4YR_TRANS_YR6_RT NOT1STGEN_ENRL_2YR_TRANS_YR6_RT
## 6484 6484
## NOT1STGEN_UNKN_ORIG_YR6_RT NOT1STGEN_UNKN_4YR_TRANS_YR6_RT
## 6484 6484
## NOT1STGEN_UNKN_2YR_TRANS_YR6_RT DEATH_YR8_RT
## 6484 6484
## COMP_ORIG_YR8_RT COMP_4YR_TRANS_YR8_RT
## 6484 6484
## COMP_2YR_TRANS_YR8_RT WDRAW_ORIG_YR8_RT
## 6484 6484
## WDRAW_4YR_TRANS_YR8_RT WDRAW_2YR_TRANS_YR8_RT
## 6484 6484
## ENRL_ORIG_YR8_RT ENRL_4YR_TRANS_YR8_RT
## 6484 6484
## ENRL_2YR_TRANS_YR8_RT UNKN_ORIG_YR8_RT
## 6484 6484
## UNKN_4YR_TRANS_YR8_RT UNKN_2YR_TRANS_YR8_RT
## 6484 6484
## LO_INC_DEATH_YR8_RT LO_INC_COMP_ORIG_YR8_RT
## 6484 6484
## LO_INC_COMP_4YR_TRANS_YR8_RT LO_INC_COMP_2YR_TRANS_YR8_RT
## 6484 6484
## LO_INC_WDRAW_ORIG_YR8_RT LO_INC_WDRAW_4YR_TRANS_YR8_RT
## 6484 6484
## LO_INC_WDRAW_2YR_TRANS_YR8_RT LO_INC_ENRL_ORIG_YR8_RT
## 6484 6484
## LO_INC_ENRL_4YR_TRANS_YR8_RT LO_INC_ENRL_2YR_TRANS_YR8_RT
## 6484 6484
## LO_INC_UNKN_ORIG_YR8_RT LO_INC_UNKN_4YR_TRANS_YR8_RT
## 6484 6484
## LO_INC_UNKN_2YR_TRANS_YR8_RT MD_INC_DEATH_YR8_RT
## 6484 6484
## MD_INC_COMP_ORIG_YR8_RT MD_INC_COMP_4YR_TRANS_YR8_RT
## 6484 6484
## MD_INC_COMP_2YR_TRANS_YR8_RT MD_INC_WDRAW_ORIG_YR8_RT
## 6484 6484
## MD_INC_WDRAW_4YR_TRANS_YR8_RT MD_INC_WDRAW_2YR_TRANS_YR8_RT
## 6484 6484
## MD_INC_ENRL_ORIG_YR8_RT MD_INC_ENRL_4YR_TRANS_YR8_RT
## 6484 6484
## MD_INC_ENRL_2YR_TRANS_YR8_RT MD_INC_UNKN_ORIG_YR8_RT
## 6484 6484
## MD_INC_UNKN_4YR_TRANS_YR8_RT MD_INC_UNKN_2YR_TRANS_YR8_RT
## 6484 6484
## HI_INC_DEATH_YR8_RT HI_INC_COMP_ORIG_YR8_RT
## 6484 6484
## HI_INC_COMP_4YR_TRANS_YR8_RT HI_INC_COMP_2YR_TRANS_YR8_RT
## 6484 6484
## HI_INC_WDRAW_ORIG_YR8_RT HI_INC_WDRAW_4YR_TRANS_YR8_RT
## 6484 6484
## HI_INC_WDRAW_2YR_TRANS_YR8_RT HI_INC_ENRL_ORIG_YR8_RT
## 6484 6484
## HI_INC_ENRL_4YR_TRANS_YR8_RT HI_INC_ENRL_2YR_TRANS_YR8_RT
## 6484 6484
## HI_INC_UNKN_ORIG_YR8_RT HI_INC_UNKN_4YR_TRANS_YR8_RT
## 6484 6484
## HI_INC_UNKN_2YR_TRANS_YR8_RT DEP_DEATH_YR8_RT
## 6484 6484
## DEP_COMP_ORIG_YR8_RT DEP_COMP_4YR_TRANS_YR8_RT
## 6484 6484
## DEP_COMP_2YR_TRANS_YR8_RT DEP_WDRAW_ORIG_YR8_RT
## 6484 6484
## DEP_WDRAW_4YR_TRANS_YR8_RT DEP_WDRAW_2YR_TRANS_YR8_RT
## 6484 6484
## DEP_ENRL_ORIG_YR8_RT DEP_ENRL_4YR_TRANS_YR8_RT
## 6484 6484
## DEP_ENRL_2YR_TRANS_YR8_RT DEP_UNKN_ORIG_YR8_RT
## 6484 6484
## DEP_UNKN_4YR_TRANS_YR8_RT DEP_UNKN_2YR_TRANS_YR8_RT
## 6484 6484
## IND_DEATH_YR8_RT IND_COMP_ORIG_YR8_RT
## 6484 6484
## IND_COMP_4YR_TRANS_YR8_RT IND_COMP_2YR_TRANS_YR8_RT
## 6484 6484
## IND_WDRAW_ORIG_YR8_RT IND_WDRAW_4YR_TRANS_YR8_RT
## 6484 6484
## IND_WDRAW_2YR_TRANS_YR8_RT IND_ENRL_ORIG_YR8_RT
## 6484 6484
## IND_ENRL_4YR_TRANS_YR8_RT IND_ENRL_2YR_TRANS_YR8_RT
## 6484 6484
## IND_UNKN_ORIG_YR8_RT IND_UNKN_4YR_TRANS_YR8_RT
## 6484 6484
## IND_UNKN_2YR_TRANS_YR8_RT FEMALE_DEATH_YR8_RT
## 6484 6484
## FEMALE_COMP_ORIG_YR8_RT FEMALE_COMP_4YR_TRANS_YR8_RT
## 6484 6484
## FEMALE_COMP_2YR_TRANS_YR8_RT FEMALE_WDRAW_ORIG_YR8_RT
## 6484 6484
## FEMALE_WDRAW_4YR_TRANS_YR8_RT FEMALE_WDRAW_2YR_TRANS_YR8_RT
## 6484 6484
## FEMALE_ENRL_ORIG_YR8_RT FEMALE_ENRL_4YR_TRANS_YR8_RT
## 6484 6484
## FEMALE_ENRL_2YR_TRANS_YR8_RT FEMALE_UNKN_ORIG_YR8_RT
## 6484 6484
## FEMALE_UNKN_4YR_TRANS_YR8_RT FEMALE_UNKN_2YR_TRANS_YR8_RT
## 6484 6484
## MALE_DEATH_YR8_RT MALE_COMP_ORIG_YR8_RT
## 6484 6484
## MALE_COMP_4YR_TRANS_YR8_RT MALE_COMP_2YR_TRANS_YR8_RT
## 6484 6484
## MALE_WDRAW_ORIG_YR8_RT MALE_WDRAW_4YR_TRANS_YR8_RT
## 6484 6484
## MALE_WDRAW_2YR_TRANS_YR8_RT MALE_ENRL_ORIG_YR8_RT
## 6484 6484
## MALE_ENRL_4YR_TRANS_YR8_RT MALE_ENRL_2YR_TRANS_YR8_RT
## 6484 6484
## MALE_UNKN_ORIG_YR8_RT MALE_UNKN_4YR_TRANS_YR8_RT
## 6484 6484
## MALE_UNKN_2YR_TRANS_YR8_RT PELL_DEATH_YR8_RT
## 6484 6484
## PELL_COMP_ORIG_YR8_RT PELL_COMP_4YR_TRANS_YR8_RT
## 6484 6484
## PELL_COMP_2YR_TRANS_YR8_RT PELL_WDRAW_ORIG_YR8_RT
## 6484 6484
## PELL_WDRAW_4YR_TRANS_YR8_RT PELL_WDRAW_2YR_TRANS_YR8_RT
## 6484 6484
## PELL_ENRL_ORIG_YR8_RT PELL_ENRL_4YR_TRANS_YR8_RT
## 6484 6484
## PELL_ENRL_2YR_TRANS_YR8_RT PELL_UNKN_ORIG_YR8_RT
## 6484 6484
## PELL_UNKN_4YR_TRANS_YR8_RT PELL_UNKN_2YR_TRANS_YR8_RT
## 6484 6484
## NOPELL_DEATH_YR8_RT NOPELL_COMP_ORIG_YR8_RT
## 6484 6484
## NOPELL_COMP_4YR_TRANS_YR8_RT NOPELL_COMP_2YR_TRANS_YR8_RT
## 6484 6484
## NOPELL_WDRAW_ORIG_YR8_RT NOPELL_WDRAW_4YR_TRANS_YR8_RT
## 6484 6484
## NOPELL_WDRAW_2YR_TRANS_YR8_RT NOPELL_ENRL_ORIG_YR8_RT
## 6484 6484
## NOPELL_ENRL_4YR_TRANS_YR8_RT NOPELL_ENRL_2YR_TRANS_YR8_RT
## 6484 6484
## NOPELL_UNKN_ORIG_YR8_RT NOPELL_UNKN_4YR_TRANS_YR8_RT
## 6484 6484
## NOPELL_UNKN_2YR_TRANS_YR8_RT LOAN_DEATH_YR8_RT
## 6484 6484
## LOAN_COMP_ORIG_YR8_RT LOAN_COMP_4YR_TRANS_YR8_RT
## 6484 6484
## LOAN_COMP_2YR_TRANS_YR8_RT LOAN_WDRAW_ORIG_YR8_RT
## 6484 6484
## LOAN_WDRAW_4YR_TRANS_YR8_RT LOAN_WDRAW_2YR_TRANS_YR8_RT
## 6484 6484
## LOAN_ENRL_ORIG_YR8_RT LOAN_ENRL_4YR_TRANS_YR8_RT
## 6484 6484
## LOAN_ENRL_2YR_TRANS_YR8_RT LOAN_UNKN_ORIG_YR8_RT
## 6484 6484
## LOAN_UNKN_4YR_TRANS_YR8_RT LOAN_UNKN_2YR_TRANS_YR8_RT
## 6484 6484
## NOLOAN_DEATH_YR8_RT NOLOAN_COMP_ORIG_YR8_RT
## 6484 6484
## NOLOAN_COMP_4YR_TRANS_YR8_RT NOLOAN_COMP_2YR_TRANS_YR8_RT
## 6484 6484
## NOLOAN_WDRAW_ORIG_YR8_RT NOLOAN_WDRAW_4YR_TRANS_YR8_RT
## 6484 6484
## NOLOAN_WDRAW_2YR_TRANS_YR8_RT NOLOAN_ENRL_ORIG_YR8_RT
## 6484 6484
## NOLOAN_ENRL_4YR_TRANS_YR8_RT NOLOAN_ENRL_2YR_TRANS_YR8_RT
## 6484 6484
## NOLOAN_UNKN_ORIG_YR8_RT NOLOAN_UNKN_4YR_TRANS_YR8_RT
## 6484 6484
## NOLOAN_UNKN_2YR_TRANS_YR8_RT FIRSTGEN_DEATH_YR8_RT
## 6484 6484
## FIRSTGEN_COMP_ORIG_YR8_RT FIRSTGEN_COMP_4YR_TRANS_YR8_RT
## 6484 6484
## FIRSTGEN_COMP_2YR_TRANS_YR8_RT FIRSTGEN_WDRAW_ORIG_YR8_RT
## 6484 6484
## FIRSTGEN_WDRAW_4YR_TRANS_YR8_RT FIRSTGEN_WDRAW_2YR_TRANS_YR8_RT
## 6484 6484
## FIRSTGEN_ENRL_ORIG_YR8_RT FIRSTGEN_ENRL_4YR_TRANS_YR8_RT
## 6484 6484
## FIRSTGEN_ENRL_2YR_TRANS_YR8_RT FIRSTGEN_UNKN_ORIG_YR8_RT
## 6484 6484
## FIRSTGEN_UNKN_4YR_TRANS_YR8_RT FIRSTGEN_UNKN_2YR_TRANS_YR8_RT
## 6484 6484
## NOT1STGEN_DEATH_YR8_RT NOT1STGEN_COMP_ORIG_YR8_RT
## 6484 6484
## NOT1STGEN_COMP_4YR_TRANS_YR8_RT NOT1STGEN_COMP_2YR_TRANS_YR8_RT
## 6484 6484
## NOT1STGEN_WDRAW_ORIG_YR8_RT NOT1STGEN_WDRAW_4YR_TRANS_YR8_RT
## 6484 6484
## NOT1STGEN_WDRAW_2YR_TRANS_YR8_RT NOT1STGEN_ENRL_ORIG_YR8_RT
## 6484 6484
## NOT1STGEN_ENRL_4YR_TRANS_YR8_RT NOT1STGEN_ENRL_2YR_TRANS_YR8_RT
## 6484 6484
## NOT1STGEN_UNKN_ORIG_YR8_RT NOT1STGEN_UNKN_4YR_TRANS_YR8_RT
## 6484 6484
## NOT1STGEN_UNKN_2YR_TRANS_YR8_RT RPY_1YR_RT
## 6484 6484
## COMPL_RPY_1YR_RT NONCOM_RPY_1YR_RT
## 6484 6484
## LO_INC_RPY_1YR_RT MD_INC_RPY_1YR_RT
## 6484 6484
## HI_INC_RPY_1YR_RT DEP_RPY_1YR_RT
## 6484 6484
## IND_RPY_1YR_RT PELL_RPY_1YR_RT
## 6484 6484
## NOPELL_RPY_1YR_RT FEMALE_RPY_1YR_RT
## 6484 6484
## MALE_RPY_1YR_RT FIRSTGEN_RPY_1YR_RT
## 6484 6484
## NOTFIRSTGEN_RPY_1YR_RT RPY_3YR_RT
## 6484 6484
## COMPL_RPY_3YR_RT NONCOM_RPY_3YR_RT
## 6484 6484
## LO_INC_RPY_3YR_RT MD_INC_RPY_3YR_RT
## 6484 6484
## HI_INC_RPY_3YR_RT DEP_RPY_3YR_RT
## 6484 6484
## IND_RPY_3YR_RT PELL_RPY_3YR_RT
## 6484 6484
## NOPELL_RPY_3YR_RT FEMALE_RPY_3YR_RT
## 6484 6484
## MALE_RPY_3YR_RT FIRSTGEN_RPY_3YR_RT
## 6484 6484
## NOTFIRSTGEN_RPY_3YR_RT RPY_5YR_RT
## 6484 6484
## COMPL_RPY_5YR_RT NONCOM_RPY_5YR_RT
## 6484 6484
## LO_INC_RPY_5YR_RT MD_INC_RPY_5YR_RT
## 6484 6484
## HI_INC_RPY_5YR_RT DEP_RPY_5YR_RT
## 6484 6484
## IND_RPY_5YR_RT PELL_RPY_5YR_RT
## 6484 6484
## NOPELL_RPY_5YR_RT FEMALE_RPY_5YR_RT
## 6484 6484
## MALE_RPY_5YR_RT FIRSTGEN_RPY_5YR_RT
## 6484 6484
## NOTFIRSTGEN_RPY_5YR_RT RPY_7YR_RT
## 6484 6484
## COMPL_RPY_7YR_RT NONCOM_RPY_7YR_RT
## 6484 6484
## LO_INC_RPY_7YR_RT MD_INC_RPY_7YR_RT
## 6484 6484
## HI_INC_RPY_7YR_RT DEP_RPY_7YR_RT
## 6484 6484
## IND_RPY_7YR_RT PELL_RPY_7YR_RT
## 6484 6484
## NOPELL_RPY_7YR_RT FEMALE_RPY_7YR_RT
## 6484 6484
## MALE_RPY_7YR_RT FIRSTGEN_RPY_7YR_RT
## 6484 6484
## NOTFIRSTGEN_RPY_7YR_RT INC_PCT_LO
## 6484 6484
## DEP_STAT_PCT_IND DEP_INC_PCT_LO
## 6484 6484
## IND_INC_PCT_LO PAR_ED_PCT_1STGEN
## 6484 6484
## INC_PCT_M1 INC_PCT_M2
## 6484 6484
## INC_PCT_H1 INC_PCT_H2
## 6484 6484
## DEP_INC_PCT_M1 DEP_INC_PCT_M2
## 6484 6484
## DEP_INC_PCT_H1 DEP_INC_PCT_H2
## 6484 6484
## IND_INC_PCT_M1 IND_INC_PCT_M2
## 6484 6484
## IND_INC_PCT_H1 IND_INC_PCT_H2
## 6484 6484
## PAR_ED_PCT_MS PAR_ED_PCT_HS
## 6484 6484
## PAR_ED_PCT_PS APPL_SCH_PCT_GE2
## 6484 6484
## APPL_SCH_PCT_GE3 APPL_SCH_PCT_GE4
## 6484 6484
## APPL_SCH_PCT_GE5 DEP_INC_AVG
## 6484 6484
## IND_INC_AVG OVERALL_YR2_N
## 6484 6484
## LO_INC_YR2_N MD_INC_YR2_N
## 6484 6484
## HI_INC_YR2_N DEP_YR2_N
## 6484 6484
## IND_YR2_N FEMALE_YR2_N
## 6484 6484
## MALE_YR2_N PELL_YR2_N
## 6484 6484
## NOPELL_YR2_N LOAN_YR2_N
## 6484 6484
## NOLOAN_YR2_N FIRSTGEN_YR2_N
## 6484 6484
## NOT1STGEN_YR2_N OVERALL_YR3_N
## 6484 6484
## LO_INC_YR3_N MD_INC_YR3_N
## 6484 6484
## HI_INC_YR3_N DEP_YR3_N
## 6484 6484
## IND_YR3_N FEMALE_YR3_N
## 6484 6484
## MALE_YR3_N PELL_YR3_N
## 6484 6484
## NOPELL_YR3_N LOAN_YR3_N
## 6484 6484
## NOLOAN_YR3_N FIRSTGEN_YR3_N
## 6484 6484
## NOT1STGEN_YR3_N OVERALL_YR4_N
## 6484 6484
## LO_INC_YR4_N MD_INC_YR4_N
## 6484 6484
## HI_INC_YR4_N DEP_YR4_N
## 6484 6484
## IND_YR4_N FEMALE_YR4_N
## 6484 6484
## MALE_YR4_N PELL_YR4_N
## 6484 6484
## NOPELL_YR4_N LOAN_YR4_N
## 6484 6484
## NOLOAN_YR4_N FIRSTGEN_YR4_N
## 6484 6484
## NOT1STGEN_YR4_N OVERALL_YR6_N
## 6484 6484
## LO_INC_YR6_N MD_INC_YR6_N
## 6484 6484
## HI_INC_YR6_N DEP_YR6_N
## 6484 6484
## IND_YR6_N FEMALE_YR6_N
## 6484 6484
## MALE_YR6_N PELL_YR6_N
## 6484 6484
## NOPELL_YR6_N LOAN_YR6_N
## 6484 6484
## NOLOAN_YR6_N FIRSTGEN_YR6_N
## 6484 6484
## NOT1STGEN_YR6_N OVERALL_YR8_N
## 6484 6484
## LO_INC_YR8_N MD_INC_YR8_N
## 6484 6484
## HI_INC_YR8_N DEP_YR8_N
## 6484 6484
## IND_YR8_N FEMALE_YR8_N
## 6484 6484
## MALE_YR8_N PELL_YR8_N
## 6484 6484
## NOPELL_YR8_N LOAN_YR8_N
## 6484 6484
## NOLOAN_YR8_N FIRSTGEN_YR8_N
## 6484 6484
## NOT1STGEN_YR8_N DEBT_MDN
## 6484 6484
## GRAD_DEBT_MDN WDRAW_DEBT_MDN
## 6484 6484
## LO_INC_DEBT_MDN MD_INC_DEBT_MDN
## 6484 6484
## HI_INC_DEBT_MDN DEP_DEBT_MDN
## 6484 6484
## IND_DEBT_MDN PELL_DEBT_MDN
## 6484 6484
## NOPELL_DEBT_MDN FEMALE_DEBT_MDN
## 6484 6484
## MALE_DEBT_MDN FIRSTGEN_DEBT_MDN
## 6484 6484
## NOTFIRSTGEN_DEBT_MDN DEBT_N
## 6484 6484
## GRAD_DEBT_N WDRAW_DEBT_N
## 6484 6484
## LO_INC_DEBT_N MD_INC_DEBT_N
## 6484 6484
## HI_INC_DEBT_N DEP_DEBT_N
## 6484 6484
## IND_DEBT_N PELL_DEBT_N
## 6484 6484
## NOPELL_DEBT_N FEMALE_DEBT_N
## 6484 6484
## MALE_DEBT_N FIRSTGEN_DEBT_N
## 6484 6484
## NOTFIRSTGEN_DEBT_N GRAD_DEBT_MDN10YR
## 6484 6484
## CUML_DEBT_N CUML_DEBT_P90
## 6484 6484
## CUML_DEBT_P75 CUML_DEBT_P25
## 6484 6484
## CUML_DEBT_P10 INC_N
## 6484 6484
## DEP_INC_N IND_INC_N
## 6484 6484
## DEP_STAT_N PAR_ED_N
## 6484 6484
## APPL_SCH_N REPAY_DT_MDN
## 6484 6484
## SEPAR_DT_MDN REPAY_DT_N
## 6484 6484
## SEPAR_DT_N RPY_1YR_N
## 6484 6484
## COMPL_RPY_1YR_N NONCOM_RPY_1YR_N
## 6484 6484
## LO_INC_RPY_1YR_N MD_INC_RPY_1YR_N
## 6484 6484
## HI_INC_RPY_1YR_N DEP_RPY_1YR_N
## 6484 6484
## IND_RPY_1YR_N PELL_RPY_1YR_N
## 6484 6484
## NOPELL_RPY_1YR_N FEMALE_RPY_1YR_N
## 6484 6484
## MALE_RPY_1YR_N FIRSTGEN_RPY_1YR_N
## 6484 6484
## NOTFIRSTGEN_RPY_1YR_N RPY_3YR_N
## 6484 6484
## COMPL_RPY_3YR_N NONCOM_RPY_3YR_N
## 6484 6484
## LO_INC_RPY_3YR_N MD_INC_RPY_3YR_N
## 6484 6484
## HI_INC_RPY_3YR_N DEP_RPY_3YR_N
## 6484 6484
## IND_RPY_3YR_N PELL_RPY_3YR_N
## 6484 6484
## NOPELL_RPY_3YR_N FEMALE_RPY_3YR_N
## 6484 6484
## MALE_RPY_3YR_N FIRSTGEN_RPY_3YR_N
## 6484 6484
## NOTFIRSTGEN_RPY_3YR_N RPY_5YR_N
## 6484 6484
## COMPL_RPY_5YR_N NONCOM_RPY_5YR_N
## 6484 6484
## LO_INC_RPY_5YR_N MD_INC_RPY_5YR_N
## 6484 6484
## HI_INC_RPY_5YR_N DEP_RPY_5YR_N
## 6484 6484
## IND_RPY_5YR_N PELL_RPY_5YR_N
## 6484 6484
## NOPELL_RPY_5YR_N FEMALE_RPY_5YR_N
## 6484 6484
## MALE_RPY_5YR_N FIRSTGEN_RPY_5YR_N
## 6484 6484
## NOTFIRSTGEN_RPY_5YR_N RPY_7YR_N
## 6484 6484
## COMPL_RPY_7YR_N NONCOM_RPY_7YR_N
## 6484 6484
## LO_INC_RPY_7YR_N MD_INC_RPY_7YR_N
## 6484 6484
## HI_INC_RPY_7YR_N DEP_RPY_7YR_N
## 6484 6484
## IND_RPY_7YR_N PELL_RPY_7YR_N
## 6484 6484
## NOPELL_RPY_7YR_N FEMALE_RPY_7YR_N
## 6484 6484
## MALE_RPY_7YR_N FIRSTGEN_RPY_7YR_N
## 6484 6484
## NOTFIRSTGEN_RPY_7YR_N COUNT_ED
## 6484 6484
## LOAN_EVER PELL_EVER
## 6484 6484
## AGE_ENTRY AGE_ENTRY_SQ
## 6484 6484
## AGEGE24 FEMALE
## 6484 6484
## MARRIED DEPENDENT
## 6484 6484
## VETERAN FIRST_GEN
## 6484 6484
## FAMINC MD_FAMINC
## 6484 6484
## FAMINC_IND LNFAMINC
## 6484 6484
## LNFAMINC_IND PCT_WHITE
## 6484 6484
## PCT_BLACK PCT_ASIAN
## 6484 6484
## PCT_HISPANIC PCT_BA
## 6484 6484
## PCT_GRAD_PROF PCT_BORN_US
## 6484 6484
## MEDIAN_HH_INC POVERTY_RATE
## 6484 6484
## UNEMP_RATE LN_MEDIAN_HH_INC
## 6484 6484
## FSEND_COUNT FSEND_1
## 6484 6484
## FSEND_2 FSEND_3
## 6484 6484
## FSEND_4 FSEND_5
## 6484 6484
## COUNT_NWNE_P10 COUNT_WNE_P10
## 6484 6484
## MN_EARN_WNE_P10 MD_EARN_WNE_P10
## 6484 6484
## PCT10_EARN_WNE_P10 PCT25_EARN_WNE_P10
## 6484 6484
## PCT75_EARN_WNE_P10 PCT90_EARN_WNE_P10
## 6484 6484
## SD_EARN_WNE_P10 COUNT_WNE_INC1_P10
## 6484 6484
## COUNT_WNE_INC2_P10 COUNT_WNE_INC3_P10
## 6484 6484
## COUNT_WNE_INDEP0_INC1_P10 COUNT_WNE_INDEP0_P10
## 6484 6484
## COUNT_WNE_INDEP1_P10 COUNT_WNE_MALE0_P10
## 6484 6484
## COUNT_WNE_MALE1_P10 GT_25K_P10
## 6484 6484
## MN_EARN_WNE_INC1_P10 MN_EARN_WNE_INC2_P10
## 6484 6484
## MN_EARN_WNE_INC3_P10 MN_EARN_WNE_INDEP0_INC1_P10
## 6484 6484
## MN_EARN_WNE_INDEP0_P10 MN_EARN_WNE_INDEP1_P10
## 6484 6484
## MN_EARN_WNE_MALE0_P10 MN_EARN_WNE_MALE1_P10
## 6484 6484
## COUNT_NWNE_P6 COUNT_WNE_P6
## 6484 6484
## MN_EARN_WNE_P6 MD_EARN_WNE_P6
## 6484 6484
## PCT10_EARN_WNE_P6 PCT25_EARN_WNE_P6
## 6484 6484
## PCT75_EARN_WNE_P6 PCT90_EARN_WNE_P6
## 6484 6484
## SD_EARN_WNE_P6 COUNT_WNE_INC1_P6
## 6484 6484
## COUNT_WNE_INC2_P6 COUNT_WNE_INC3_P6
## 6484 6484
## COUNT_WNE_INDEP0_INC1_P6 COUNT_WNE_INDEP0_P6
## 6484 6484
## COUNT_WNE_INDEP1_P6 COUNT_WNE_MALE0_P6
## 6484 6484
## COUNT_WNE_MALE1_P6 GT_25K_P6
## 6484 6484
## MN_EARN_WNE_INC1_P6 MN_EARN_WNE_INC2_P6
## 6484 6484
## MN_EARN_WNE_INC3_P6 MN_EARN_WNE_INDEP0_INC1_P6
## 6484 6484
## MN_EARN_WNE_INDEP0_P6 MN_EARN_WNE_INDEP1_P6
## 6484 6484
## MN_EARN_WNE_MALE0_P6 MN_EARN_WNE_MALE1_P6
## 6484 6484
## COUNT_NWNE_P7 COUNT_WNE_P7
## 6484 6484
## MN_EARN_WNE_P7 SD_EARN_WNE_P7
## 6484 6484
## GT_25K_P7 COUNT_NWNE_P8
## 6484 6484
## COUNT_WNE_P8 MN_EARN_WNE_P8
## 6484 6484
## MD_EARN_WNE_P8 PCT10_EARN_WNE_P8
## 6484 6484
## PCT25_EARN_WNE_P8 PCT75_EARN_WNE_P8
## 6484 6484
## PCT90_EARN_WNE_P8 SD_EARN_WNE_P8
## 6484 6484
## GT_25K_P8 COUNT_NWNE_P9
## 6484 6484
## COUNT_WNE_P9 MN_EARN_WNE_P9
## 6484 6484
## SD_EARN_WNE_P9 GT_25K_P9
## 6484 6484
## DEBT_MDN_SUPP GRAD_DEBT_MDN_SUPP
## 6484 6484
## GRAD_DEBT_MDN10YR_SUPP RPY_3YR_RT_SUPP
## 6484 6484
## LO_INC_RPY_3YR_RT_SUPP MD_INC_RPY_3YR_RT_SUPP
## 6484 6484
## HI_INC_RPY_3YR_RT_SUPP COMPL_RPY_3YR_RT_SUPP
## 6484 6484
## NONCOM_RPY_3YR_RT_SUPP DEP_RPY_3YR_RT_SUPP
## 6484 6484
## IND_RPY_3YR_RT_SUPP PELL_RPY_3YR_RT_SUPP
## 6484 6484
## NOPELL_RPY_3YR_RT_SUPP FEMALE_RPY_3YR_RT_SUPP
## 6484 6484
## MALE_RPY_3YR_RT_SUPP FIRSTGEN_RPY_3YR_RT_SUPP
## 6484 6484
## NOTFIRSTGEN_RPY_3YR_RT_SUPP C150_L4_POOLED_SUPP
## 6484 3386
## C150_4_POOLED_SUPP C200_L4_POOLED_SUPP
## 4181 3440
## C200_4_POOLED_SUPP ALIAS
## 4497 4100
## C100_4 D100_4
## 4468 4468
## C100_L4 D100_L4
## 3407 3407
## TRANS_4 DTRANS_4
## 4204 4204
## TRANS_L4 DTRANS_L4
## 3407 3407
## ICLEVEL UGDS_MEN
## 0 768
## UGDS_WOMEN CDR3_DENOM
## 768 798
## CDR2_DENOM T4APPROVALDATE
## 6484 524
## D150_4_WHITE D150_4_BLACK
## 4204 4204
## D150_4_HISP D150_4_ASIAN
## 4204 4204
## D150_4_AIAN D150_4_NHPI
## 4204 4204
## D150_4_2MOR D150_4_NRA
## 4204 4204
## D150_4_UNKN D150_4_WHITENH
## 4204 6484
## D150_4_BLACKNH D150_4_API
## 6484 6484
## D150_4_AIANOLD D150_4_HISPOLD
## 6484 6484
## D150_L4_WHITE D150_L4_BLACK
## 4991 4991
## D150_L4_HISP D150_L4_ASIAN
## 4991 4991
## D150_L4_AIAN D150_L4_NHPI
## 4991 4991
## D150_L4_2MOR D150_L4_NRA
## 4991 4991
## D150_L4_UNKN D150_L4_WHITENH
## 4991 6484
## D150_L4_BLACKNH D150_L4_API
## 6484 6484
## D150_L4_AIANOLD D150_L4_HISPOLD
## 6484 6484
## D_PCTPELL_PCTFLOAN OPENADMP
## 813 900
## UGNONDS GRADS
## 3680 4434
## ACCREDCODE OMACHT6_FTFT
## 312 2832
## OMAWDP6_FTFT OMACHT8_FTFT
## 2975 2832
## OMAWDP8_FTFT OMENRYP8_FTFT
## 2975 2975
## OMENRAP8_FTFT OMENRUP8_FTFT
## 2975 2975
## OMACHT6_PTFT OMAWDP6_PTFT
## 2832 3810
## OMACHT8_PTFT OMAWDP8_PTFT
## 2832 3810
## OMENRYP8_PTFT OMENRAP8_PTFT
## 3810 3810
## OMENRUP8_PTFT OMACHT6_FTNFT
## 3810 2832
## OMAWDP6_FTNFT OMACHT8_FTNFT
## 2925 2832
## OMAWDP8_FTNFT OMENRYP8_FTNFT
## 2925 2925
## OMENRAP8_FTNFT OMENRUP8_FTNFT
## 2925 2925
## OMACHT6_PTNFT OMAWDP6_PTNFT
## 2832 3555
## OMACHT8_PTNFT OMAWDP8_PTNFT
## 2832 3555
## OMENRYP8_PTNFT OMENRAP8_PTNFT
## 3555 3555
## OMENRUP8_PTNFT RET_FT4_POOLED
## 3555 4328
## RET_FTL4_POOLED RET_PT4_POOLED
## 3469 4830
## RET_PTL4_POOLED RET_FT_DEN4_POOLED
## 4716 4104
## RET_FT_DENL4_POOLED RET_PT_DEN4_POOLED
## 3443 4469
## RET_PT_DENL4_POOLED POOLYRSRET_FT
## 4634 1063
## POOLYRSRET_PT RET_FT4_POOLED_SUPP
## 2619 4328
## RET_FTL4_POOLED_SUPP RET_PT4_POOLED_SUPP
## 3469 4830
## RET_PTL4_POOLED_SUPP TRANS_4_POOLED
## 4716 4181
## TRANS_L4_POOLED DTRANS_4_POOLED
## 3386 4181
## DTRANS_L4_POOLED TRANS_4_POOLED_SUPP
## 3386 4181
## TRANS_L4_POOLED_SUPP C100_4_POOLED
## 3386 4527
## C100_L4_POOLED D100_4_POOLED
## 3478 4434
## D100_L4_POOLED POOLYRS100
## 3386 1336
## C100_4_POOLED_SUPP C100_L4_POOLED_SUPP
## 4527 3478
## C150_4_PELL D150_4_PELL
## 4300 4300
## C150_L4_PELL D150_L4_PELL
## 3487 3487
## C150_4_LOANNOPELL D150_4_LOANNOPELL
## 4519 4519
## C150_L4_LOANNOPELL D150_L4_LOANNOPELL
## 4278 4278
## C150_4_NOLOANNOPELL D150_4_NOLOANNOPELL
## 4280 4280
## C150_L4_NOLOANNOPELL D150_L4_NOLOANNOPELL
## 3740 3740
## GT_28K_P10 GT_28K_P8
## 6484 6484
## GT_28K_P6 OMACHT6_FTFT_POOLED
## 6484 2818
## OMAWDP6_FTFT_POOLED OMACHT8_FTFT_POOLED
## 2932 2818
## OMAWDP8_FTFT_POOLED OMENRYP8_FTFT_POOLED
## 2932 2932
## OMENRAP8_FTFT_POOLED OMENRUP8_FTFT_POOLED
## 2932 2932
## OMACHT6_PTFT_POOLED OMAWDP6_PTFT_POOLED
## 2818 3562
## OMACHT8_PTFT_POOLED OMAWDP8_PTFT_POOLED
## 2818 3562
## OMENRYP8_PTFT_POOLED OMENRAP8_PTFT_POOLED
## 3562 3562
## OMENRUP8_PTFT_POOLED OMACHT6_FTNFT_POOLED
## 3562 2818
## OMAWDP6_FTNFT_POOLED OMACHT8_FTNFT_POOLED
## 2874 2818
## OMAWDP8_FTNFT_POOLED OMENRYP8_FTNFT_POOLED
## 2874 2874
## OMENRAP8_FTNFT_POOLED OMENRUP8_FTNFT_POOLED
## 2874 2874
## OMACHT6_PTNFT_POOLED OMAWDP6_PTNFT_POOLED
## 2818 3393
## OMACHT8_PTNFT_POOLED OMAWDP8_PTNFT_POOLED
## 2818 3393
## OMENRYP8_PTNFT_POOLED OMENRAP8_PTNFT_POOLED
## 3393 3393
## OMENRUP8_PTNFT_POOLED POOLYRSOM_FTFT
## 3393 2818
## POOLYRSOM_PTFT POOLYRSOM_FTNFT
## 2818 2818
## POOLYRSOM_PTNFT OMAWDP6_FTFT_POOLED_SUPP
## 2818 2932
## OMAWDP8_FTFT_POOLED_SUPP OMENRYP8_FTFT_POOLED_SUPP
## 2932 2932
## OMENRAP8_FTFT_POOLED_SUPP OMENRUP8_FTFT_POOLED_SUPP
## 2932 2932
## OMAWDP6_PTFT_POOLED_SUPP OMAWDP8_PTFT_POOLED_SUPP
## 3562 3562
## OMENRYP8_PTFT_POOLED_SUPP OMENRAP8_PTFT_POOLED_SUPP
## 3562 3562
## OMENRUP8_PTFT_POOLED_SUPP OMAWDP6_FTNFT_POOLED_SUPP
## 3562 2874
## OMAWDP8_FTNFT_POOLED_SUPP OMENRYP8_FTNFT_POOLED_SUPP
## 2874 2874
## OMENRAP8_FTNFT_POOLED_SUPP OMENRUP8_FTNFT_POOLED_SUPP
## 2874 2874
## OMAWDP6_PTNFT_POOLED_SUPP OMAWDP8_PTNFT_POOLED_SUPP
## 3393 3393
## OMENRYP8_PTNFT_POOLED_SUPP OMENRAP8_PTNFT_POOLED_SUPP
## 3393 3393
## OMENRUP8_PTNFT_POOLED_SUPP SCHTYPE
## 3393 30
## OPEFLAG PRGMOFR
## 0 4355
## CIPCODE1 CIPCODE2
## 4271 4699
## CIPCODE3 CIPCODE4
## 5074 5354
## CIPCODE5 CIPCODE6
## 5651 5854
## CIPTITLE1 CIPTITLE2
## 4288 4719
## CIPTITLE3 CIPTITLE4
## 5097 5366
## CIPTITLE5 CIPTITLE6
## 5659 5869
## CIPTFBS1 CIPTFBS2
## 4271 4701
## CIPTFBS3 CIPTFBS4
## 5076 5356
## CIPTFBS5 CIPTFBS6
## 5651 5855
## CIPTFBSANNUAL1 CIPTFBSANNUAL2
## 4271 4701
## CIPTFBSANNUAL3 CIPTFBSANNUAL4
## 5076 5356
## CIPTFBSANNUAL5 CIPTFBSANNUAL6
## 5651 5855
## MTHCMP1 MTHCMP2
## 4271 4699
## MTHCMP3 MTHCMP4
## 5074 5354
## MTHCMP5 MTHCMP6
## 5651 5854
## POOLYRSOM_ALL POOLYRSOM_FIRSTTIME
## 2818 2818
## POOLYRSOM_NOTFIRSTTIME POOLYRSOM_FULLTIME
## 2818 2818
## POOLYRSOM_PARTTIME OMENRYP_ALL
## 2818 2834
## OMENRAP_ALL OMAWDP8_ALL
## 2834 2834
## OMENRUP_ALL OMENRYP_FIRSTTIME
## 2834 2951
## OMENRAP_FIRSTTIME OMAWDP8_FIRSTTIME
## 2951 2951
## OMENRUP_FIRSTTIME OMENRYP_NOTFIRSTTIME
## 2951 2906
## OMENRAP_NOTFIRSTTIME OMAWDP8_NOTFIRSTTIME
## 2906 2906
## OMENRUP_NOTFIRSTTIME OMENRYP_FULLTIME
## 2906 2851
## OMENRAP_FULLTIME OMAWDP8_FULLTIME
## 2851 2851
## OMENRUP_FULLTIME OMENRYP_PARTTIME
## 2851 3471
## OMENRAP_PARTTIME OMAWDP8_PARTTIME
## 3471 3471
## OMENRUP_PARTTIME OMENRYP_ALL_POOLED_SUPP
## 3471 2818
## OMENRAP_ALL_POOLED_SUPP OMAWDP8_ALL_POOLED_SUPP
## 2818 2818
## OMENRUP_ALL_POOLED_SUPP OMENRYP_FIRSTTIME_POOLED_SUPP
## 2818 2914
## OMENRAP_FIRSTTIME_POOLED_SUPP OMAWDP8_FIRSTTIME_POOLED_SUPP
## 2914 2914
## OMENRUP_FIRSTTIME_POOLED_SUPP OMENRYP_NOTFIRSTTIME_POOLED_SUPP
## 2914 2862
## OMENRAP_NOTFIRSTTIME_POOLED_SUPP OMAWDP8_NOTFIRSTTIME_POOLED_SUPP
## 2862 2862
## OMENRUP_NOTFIRSTTIME_POOLED_SUPP OMENRYP_FULLTIME_POOLED_SUPP
## 2862 2830
## OMENRAP_FULLTIME_POOLED_SUPP OMAWDP8_FULLTIME_POOLED_SUPP
## 2830 2830
## OMENRUP_FULLTIME_POOLED_SUPP OMENRYP_PARTTIME_POOLED_SUPP
## 2830 3337
## OMENRAP_PARTTIME_POOLED_SUPP OMAWDP8_PARTTIME_POOLED_SUPP
## 3337 3337
## OMENRUP_PARTTIME_POOLED_SUPP FTFTPCTPELL
## 3337 1053
## FTFTPCTFLOAN UG12MN
## 1053 787
## G12MN SCUGFFN
## 4438 797
## POOLYRS_FTFTAIDPCT FTFTPCTPELL_POOLED_SUPP
## 785 985
## FTFTPCTFLOAN_POOLED_SUPP SCUGFFN_POOLED
## 985 785
## PPLUS_PCT_LOW PPLUS_PCT_HIGH
## 6484 6484
## PPLUS_PCT_LOW_POOLED_SUPP PPLUS_PCT_HIGH_POOLED_SUPP
## 6484 6484
## POOLYRS_PLUSPCT PLUS_DEBT_INST_N
## 6484 6484
## PLUS_DEBT_INST_MD PLUS_DEBT_ALL_N
## 6484 6484
## PLUS_DEBT_ALL_MD PLUS_DEBT_INST_COMP_N
## 6484 6484
## PLUS_DEBT_INST_COMP_MD PLUS_DEBT_INST_COMP_MDPAY10
## 6484 6484
## PLUS_DEBT_INST_COMP_MD_SUPP PLUS_DEBT_INST_COMP_MDPAY10_SUPP
## 6484 6484
## PLUS_DEBT_ALL_COMP_N PLUS_DEBT_ALL_COMP_MD
## 6484 6484
## PLUS_DEBT_ALL_COMP_MDPAY10 PLUS_DEBT_ALL_COMP_MD_SUPP
## 6484 6484
## PLUS_DEBT_ALL_COMP_MDPAY10_SUPP PLUS_DEBT_INST_NOCOMP_N
## 6484 6484
## PLUS_DEBT_INST_NOCOMP_MD PLUS_DEBT_ALL_NOCOMP_N
## 6484 6484
## PLUS_DEBT_ALL_NOCOMP_MD PLUS_DEBT_INST_MALE_N
## 6484 6484
## PLUS_DEBT_INST_MALE_MD PLUS_DEBT_ALL_MALE_N
## 6484 6484
## PLUS_DEBT_ALL_MALE_MD PLUS_DEBT_INST_NOMALE_N
## 6484 6484
## PLUS_DEBT_INST_NOMALE_MD PLUS_DEBT_ALL_NOMALE_N
## 6484 6484
## PLUS_DEBT_ALL_NOMALE_MD PLUS_DEBT_INST_PELL_N
## 6484 6484
## PLUS_DEBT_INST_PELL_MD PLUS_DEBT_ALL_PELL_N
## 6484 6484
## PLUS_DEBT_ALL_PELL_MD PLUS_DEBT_INST_NOPELL_N
## 6484 6484
## PLUS_DEBT_INST_NOPELL_MD PLUS_DEBT_ALL_NOPELL_N
## 6484 6484
## PLUS_DEBT_ALL_NOPELL_MD PLUS_DEBT_INST_STAFFTHIS_N
## 6484 6484
## PLUS_DEBT_INST_STAFFTHIS_MD PLUS_DEBT_ALL_STAFFTHIS_N
## 6484 6484
## PLUS_DEBT_ALL_STAFFTHIS_MD PLUS_DEBT_INST_NOSTAFFTHIS_N
## 6484 6484
## PLUS_DEBT_INST_NOSTAFFTHIS_MD PLUS_DEBT_ALL_NOSTAFFTHIS_N
## 6484 6484
## PLUS_DEBT_ALL_NOSTAFFTHIS_MD PLUS_DEBT_INST_STAFFANY_N
## 6484 6484
## PLUS_DEBT_INST_STAFFANY_MD PLUS_DEBT_ALL_STAFFANY_N
## 6484 6484
## PLUS_DEBT_ALL_STAFFANY_MD PLUS_DEBT_INST_NOSTAFFANY_N
## 6484 6484
## PLUS_DEBT_INST_NOSTAFFANY_MD PLUS_DEBT_ALL_NOSTAFFANY_N
## 6484 6484
## PLUS_DEBT_ALL_NOSTAFFANY_MD COUNT_NWNE_3YR
## 6484 6484
## COUNT_WNE_3YR CNTOVER150_3YR
## 6484 6484
## DBRR1_FED_UG_N DBRR1_FED_UG_NUM
## 6484 6484
## DBRR1_FED_UG_DEN DBRR1_FED_UG_RT
## 6484 6484
## DBRR1_FED_GR_N DBRR1_FED_GR_NUM
## 6484 6484
## DBRR1_FED_GR_DEN DBRR1_FED_GR_RT
## 6484 6484
## DBRR1_FED_UGCOMP_N DBRR1_FED_UGCOMP_NUM
## 6484 6484
## DBRR1_FED_UGCOMP_DEN DBRR1_FED_UGCOMP_RT
## 6484 6484
## DBRR1_FED_UGNOCOMP_N DBRR1_FED_UGNOCOMP_NUM
## 6484 6484
## DBRR1_FED_UGNOCOMP_DEN DBRR1_FED_UGNOCOMP_RT
## 6484 6484
## DBRR1_FED_UGUNK_N DBRR1_FED_UGUNK_NUM
## 6484 6484
## DBRR1_FED_UGUNK_DEN DBRR1_FED_UGUNK_RT
## 6484 6484
## DBRR1_FED_GRCOMP_N DBRR1_FED_GRCOMP_NUM
## 6484 6484
## DBRR1_FED_GRCOMP_DEN DBRR1_FED_GRCOMP_RT
## 6484 6484
## DBRR1_FED_GRNOCOMP_N DBRR1_FED_GRNOCOMP_NUM
## 6484 6484
## DBRR1_FED_GRNOCOMP_DEN DBRR1_FED_GRNOCOMP_RT
## 6484 6484
## DBRR4_FED_UG_N DBRR4_FED_UG_NUM
## 6484 6484
## DBRR4_FED_UG_DEN DBRR4_FED_UG_RT
## 6484 6484
## DBRR4_FED_GR_N DBRR4_FED_GR_NUM
## 6484 6484
## DBRR4_FED_GR_DEN DBRR4_FED_GR_RT
## 6484 6484
## DBRR4_FED_UGCOMP_N DBRR4_FED_UGCOMP_NUM
## 6484 6484
## DBRR4_FED_UGCOMP_DEN DBRR4_FED_UGCOMP_RT
## 6484 6484
## DBRR4_FED_UGNOCOMP_N DBRR4_FED_UGNOCOMP_NUM
## 6484 6484
## DBRR4_FED_UGNOCOMP_DEN DBRR4_FED_UGNOCOMP_RT
## 6484 6484
## DBRR4_FED_UGUNK_N DBRR4_FED_UGUNK_NUM
## 6484 6484
## DBRR4_FED_UGUNK_DEN DBRR4_FED_UGUNK_RT
## 6484 6484
## DBRR5_FED_UG_N DBRR5_FED_UG_NUM
## 6484 6484
## DBRR5_FED_UG_DEN DBRR5_FED_UG_RT
## 6484 6484
## DBRR5_FED_GR_N DBRR5_FED_GR_NUM
## 6484 6484
## DBRR5_FED_GR_DEN DBRR5_FED_GR_RT
## 6484 6484
## DBRR10_FED_UG_N DBRR10_FED_UG_NUM
## 6484 6484
## DBRR10_FED_UG_DEN DBRR10_FED_UG_RT
## 6484 6484
## DBRR10_FED_GR_N DBRR10_FED_GR_NUM
## 6484 6484
## DBRR10_FED_GR_DEN DBRR10_FED_GR_RT
## 6484 6484
## DBRR20_FED_UG_N DBRR20_FED_UG_NUM
## 6484 6484
## DBRR20_FED_UG_DEN DBRR20_FED_UG_RT
## 6484 6484
## DBRR20_FED_GR_N DBRR20_FED_GR_NUM
## 6484 6484
## DBRR20_FED_GR_DEN DBRR20_FED_GR_RT
## 6484 6484
## DBRR1_PP_UG_N DBRR1_PP_UG_NUM
## 6484 6484
## DBRR1_PP_UG_DEN DBRR1_PP_UG_RT
## 6484 6484
## DBRR1_PP_UGCOMP_N DBRR1_PP_UGCOMP_NUM
## 6484 6484
## DBRR1_PP_UGCOMP_DEN DBRR1_PP_UGCOMP_RT
## 6484 6484
## DBRR1_PP_UGNOCOMP_N DBRR1_PP_UGNOCOMP_NUM
## 6484 6484
## DBRR1_PP_UGNOCOMP_DEN DBRR1_PP_UGNOCOMP_RT
## 6484 6484
## DBRR1_PP_UGUNK_N DBRR1_PP_UGUNK_NUM
## 6484 6484
## DBRR1_PP_UGUNK_DEN DBRR1_PP_UGUNK_RT
## 6484 6484
## DBRR4_PP_UG_N DBRR4_PP_UG_NUM
## 6484 6484
## DBRR4_PP_UG_DEN DBRR4_PP_UG_RT
## 6484 6484
## DBRR4_PP_UGCOMP_N DBRR4_PP_UGCOMP_NUM
## 6484 6484
## DBRR4_PP_UGCOMP_DEN DBRR4_PP_UGCOMP_RT
## 6484 6484
## DBRR4_PP_UGNOCOMP_N DBRR4_PP_UGNOCOMP_NUM
## 6484 6484
## DBRR4_PP_UGNOCOMP_DEN DBRR4_PP_UGNOCOMP_RT
## 6484 6484
## DBRR4_PP_UGUNK_N DBRR4_PP_UGUNK_NUM
## 6484 6484
## DBRR4_PP_UGUNK_DEN DBRR4_PP_UGUNK_RT
## 6484 6484
## DBRR5_PP_UG_N DBRR5_PP_UG_NUM
## 6484 6484
## DBRR5_PP_UG_DEN DBRR5_PP_UG_RT
## 6484 6484
## DBRR10_PP_UG_N DBRR10_PP_UG_NUM
## 6484 6484
## DBRR10_PP_UG_DEN DBRR10_PP_UG_RT
## 6484 6484
## DBRR20_PP_UG_N DBRR20_PP_UG_NUM
## 6484 6484
## DBRR20_PP_UG_DEN DBRR20_PP_UG_RT
## 6484 6484
## BBRR1_FED_UG_N BBRR1_FED_UG_DFLT
## 0 0
## BBRR1_FED_UG_DLNQ BBRR1_FED_UG_FBR
## 0 0
## BBRR1_FED_UG_DFR BBRR1_FED_UG_NOPROG
## 0 0
## BBRR1_FED_UG_MAKEPROG BBRR1_FED_UG_PAIDINFULL
## 0 0
## BBRR1_FED_UG_DISCHARGE BBRR1_FED_UGCOMP_N
## 0 0
## BBRR1_FED_UGCOMP_DFLT BBRR1_FED_UGCOMP_DLNQ
## 0 0
## BBRR1_FED_UGCOMP_FBR BBRR1_FED_UGCOMP_DFR
## 0 0
## BBRR1_FED_UGCOMP_NOPROG BBRR1_FED_UGCOMP_MAKEPROG
## 0 0
## BBRR1_FED_UGCOMP_PAIDINFULL BBRR1_FED_UGCOMP_DISCHARGE
## 0 0
## BBRR1_FED_UGNOCOMP_N BBRR1_FED_UGNOCOMP_DFLT
## 0 0
## BBRR1_FED_UGNOCOMP_DLNQ BBRR1_FED_UGNOCOMP_FBR
## 0 0
## BBRR1_FED_UGNOCOMP_DFR BBRR1_FED_UGNOCOMP_NOPROG
## 0 0
## BBRR1_FED_UGNOCOMP_MAKEPROG BBRR1_FED_UGNOCOMP_PAIDINFULL
## 0 0
## BBRR1_FED_UGNOCOMP_DISCHARGE BBRR1_FED_UGUNK_N
## 0 0
## BBRR1_FED_UGUNK_DFLT BBRR1_FED_UGUNK_DLNQ
## 0 0
## BBRR1_FED_UGUNK_FBR BBRR1_FED_UGUNK_DFR
## 0 0
## BBRR1_FED_UGUNK_NOPROG BBRR1_FED_UGUNK_MAKEPROG
## 0 0
## BBRR1_FED_UGUNK_PAIDINFULL BBRR1_FED_UGUNK_DISCHARGE
## 0 0
## BBRR1_FED_GR_N BBRR1_FED_GR_DFLT
## 0 0
## BBRR1_FED_GR_DLNQ BBRR1_FED_GR_FBR
## 0 0
## BBRR1_FED_GR_DFR BBRR1_FED_GR_NOPROG
## 0 0
## BBRR1_FED_GR_MAKEPROG BBRR1_FED_GR_PAIDINFULL
## 0 0
## BBRR1_FED_GR_DISCHARGE BBRR1_FED_GRCOMP_N
## 0 0
## BBRR1_FED_GRCOMP_DFLT BBRR1_FED_GRCOMP_DLNQ
## 0 0
## BBRR1_FED_GRCOMP_FBR BBRR1_FED_GRCOMP_DFR
## 0 0
## BBRR1_FED_GRCOMP_NOPROG BBRR1_FED_GRCOMP_MAKEPROG
## 0 0
## BBRR1_FED_GRCOMP_PAIDINFULL BBRR1_FED_GRCOMP_DISCHARGE
## 0 0
## BBRR1_FED_GRNOCOMP_N BBRR1_FED_GRNOCOMP_DFLT
## 0 0
## BBRR1_FED_GRNOCOMP_DLNQ BBRR1_FED_GRNOCOMP_FBR
## 0 0
## BBRR1_FED_GRNOCOMP_DFR BBRR1_FED_GRNOCOMP_NOPROG
## 0 0
## BBRR1_FED_GRNOCOMP_MAKEPROG BBRR1_FED_GRNOCOMP_PAIDINFULL
## 0 0
## BBRR1_FED_GRNOCOMP_DISCHARGE BBRR1_PP_UG_N
## 0 0
## BBRR1_PP_UG_DFLT BBRR1_PP_UG_DLNQ
## 0 0
## BBRR1_PP_UG_FBR BBRR1_PP_UG_DFR
## 0 0
## BBRR1_PP_UG_NOPROG BBRR1_PP_UG_MAKEPROG
## 0 0
## BBRR1_PP_UG_PAIDINFULL BBRR1_PP_UG_DISCHARGE
## 0 0
## BBRR1_PP_UGCOMP_N BBRR1_PP_UGCOMP_DFLT
## 0 0
## BBRR1_PP_UGCOMP_DLNQ BBRR1_PP_UGCOMP_FBR
## 0 0
## BBRR1_PP_UGCOMP_DFR BBRR1_PP_UGCOMP_NOPROG
## 0 0
## BBRR1_PP_UGCOMP_MAKEPROG BBRR1_PP_UGCOMP_PAIDINFULL
## 0 0
## BBRR1_PP_UGCOMP_DISCHARGE BBRR1_PP_UGNOCOMP_N
## 0 0
## BBRR1_PP_UGNOCOMP_DFLT BBRR1_PP_UGNOCOMP_DLNQ
## 0 0
## BBRR1_PP_UGNOCOMP_FBR BBRR1_PP_UGNOCOMP_DFR
## 0 0
## BBRR1_PP_UGNOCOMP_NOPROG BBRR1_PP_UGNOCOMP_MAKEPROG
## 0 0
## BBRR1_PP_UGNOCOMP_PAIDINFULL BBRR1_PP_UGNOCOMP_DISCHARGE
## 0 0
## BBRR1_PP_UGUNK_N BBRR1_PP_UGUNK_DFLT
## 0 0
## BBRR1_PP_UGUNK_DLNQ BBRR1_PP_UGUNK_FBR
## 0 0
## BBRR1_PP_UGUNK_DFR BBRR1_PP_UGUNK_NOPROG
## 0 0
## BBRR1_PP_UGUNK_MAKEPROG BBRR1_PP_UGUNK_PAIDINFULL
## 0 0
## BBRR1_PP_UGUNK_DISCHARGE BBRR2_FED_UG_N
## 0 6484
## BBRR2_FED_UG_DFLT BBRR2_FED_UG_DLNQ
## 6484 6484
## BBRR2_FED_UG_FBR BBRR2_FED_UG_DFR
## 6484 6484
## BBRR2_FED_UG_NOPROG BBRR2_FED_UG_MAKEPROG
## 6484 6484
## BBRR2_FED_UG_PAIDINFULL BBRR2_FED_UG_DISCHARGE
## 6484 6484
## BBRR2_FED_UGCOMP_N BBRR2_FED_UGCOMP_DFLT
## 6484 6484
## BBRR2_FED_UGCOMP_DLNQ BBRR2_FED_UGCOMP_FBR
## 6484 6484
## BBRR2_FED_UGCOMP_DFR BBRR2_FED_UGCOMP_NOPROG
## 6484 6484
## BBRR2_FED_UGCOMP_MAKEPROG BBRR2_FED_UGCOMP_PAIDINFULL
## 6484 6484
## BBRR2_FED_UGCOMP_DISCHARGE BBRR2_FED_UGNOCOMP_N
## 6484 6484
## BBRR2_FED_UGNOCOMP_DFLT BBRR2_FED_UGNOCOMP_DLNQ
## 6484 6484
## BBRR2_FED_UGNOCOMP_FBR BBRR2_FED_UGNOCOMP_DFR
## 6484 6484
## BBRR2_FED_UGNOCOMP_NOPROG BBRR2_FED_UGNOCOMP_MAKEPROG
## 6484 6484
## BBRR2_FED_UGNOCOMP_PAIDINFULL BBRR2_FED_UGNOCOMP_DISCHARGE
## 6484 6484
## BBRR2_FED_UGUNK_N BBRR2_FED_UGUNK_DFLT
## 6484 6484
## BBRR2_FED_UGUNK_DLNQ BBRR2_FED_UGUNK_FBR
## 6484 6484
## BBRR2_FED_UGUNK_DFR BBRR2_FED_UGUNK_NOPROG
## 6484 6484
## BBRR2_FED_UGUNK_MAKEPROG BBRR2_FED_UGUNK_PAIDINFULL
## 6484 6484
## BBRR2_FED_UGUNK_DISCHARGE BBRR2_FED_GR_N
## 6484 6484
## BBRR2_FED_GR_DFLT BBRR2_FED_GR_DLNQ
## 6484 6484
## BBRR2_FED_GR_FBR BBRR2_FED_GR_DFR
## 6484 6484
## BBRR2_FED_GR_NOPROG BBRR2_FED_GR_MAKEPROG
## 6484 6484
## BBRR2_FED_GR_PAIDINFULL BBRR2_FED_GR_DISCHARGE
## 6484 6484
## BBRR2_FED_GRCOMP_N BBRR2_FED_GRCOMP_DFLT
## 6484 6484
## BBRR2_FED_GRCOMP_DLNQ BBRR2_FED_GRCOMP_FBR
## 6484 6484
## BBRR2_FED_GRCOMP_DFR BBRR2_FED_GRCOMP_NOPROG
## 6484 6484
## BBRR2_FED_GRCOMP_MAKEPROG BBRR2_FED_GRCOMP_PAIDINFULL
## 6484 6484
## BBRR2_FED_GRCOMP_DISCHARGE BBRR2_FED_GRNOCOMP_N
## 6484 6484
## BBRR2_FED_GRNOCOMP_DFLT BBRR2_FED_GRNOCOMP_DLNQ
## 6484 6484
## BBRR2_FED_GRNOCOMP_FBR BBRR2_FED_GRNOCOMP_DFR
## 6484 6484
## BBRR2_FED_GRNOCOMP_NOPROG BBRR2_FED_GRNOCOMP_MAKEPROG
## 6484 6484
## BBRR2_FED_GRNOCOMP_PAIDINFULL BBRR2_FED_GRNOCOMP_DISCHARGE
## 6484 6484
## BBRR2_PP_UG_N BBRR2_PP_UG_DFLT
## 6484 6484
## BBRR2_PP_UG_DLNQ BBRR2_PP_UG_FBR
## 6484 6484
## BBRR2_PP_UG_DFR BBRR2_PP_UG_NOPROG
## 6484 6484
## BBRR2_PP_UG_MAKEPROG BBRR2_PP_UG_PAIDINFULL
## 6484 6484
## BBRR2_PP_UG_DISCHARGE BBRR2_PP_UGCOMP_N
## 6484 6484
## BBRR2_PP_UGCOMP_DFLT BBRR2_PP_UGCOMP_DLNQ
## 6484 6484
## BBRR2_PP_UGCOMP_FBR BBRR2_PP_UGCOMP_DFR
## 6484 6484
## BBRR2_PP_UGCOMP_NOPROG BBRR2_PP_UGCOMP_MAKEPROG
## 6484 6484
## BBRR2_PP_UGCOMP_PAIDINFULL BBRR2_PP_UGCOMP_DISCHARGE
## 6484 6484
## BBRR2_PP_UGNOCOMP_N BBRR2_PP_UGNOCOMP_DFLT
## 6484 6484
## BBRR2_PP_UGNOCOMP_DLNQ BBRR2_PP_UGNOCOMP_FBR
## 6484 6484
## BBRR2_PP_UGNOCOMP_DFR BBRR2_PP_UGNOCOMP_NOPROG
## 6484 6484
## BBRR2_PP_UGNOCOMP_MAKEPROG BBRR2_PP_UGNOCOMP_PAIDINFULL
## 6484 6484
## BBRR2_PP_UGNOCOMP_DISCHARGE BBRR2_PP_UGUNK_N
## 6484 6484
## BBRR2_PP_UGUNK_DFLT BBRR2_PP_UGUNK_DLNQ
## 6484 6484
## BBRR2_PP_UGUNK_FBR BBRR2_PP_UGUNK_DFR
## 6484 6484
## BBRR2_PP_UGUNK_NOPROG BBRR2_PP_UGUNK_MAKEPROG
## 6484 6484
## BBRR2_PP_UGUNK_PAIDINFULL BBRR2_PP_UGUNK_DISCHARGE
## 6484 6484
## BBRR2_FED_UG_N_SUPP BBRR2_FED_UG_DFLT_SUPP
## 6484 6484
## BBRR2_FED_UG_DLNQ_SUPP BBRR2_FED_UG_FBR_SUPP
## 6484 6484
## BBRR2_FED_UG_DFR_SUPP BBRR2_FED_UG_NOPROG_SUPP
## 6484 6484
## BBRR2_FED_UG_MAKEPROG_SUPP BBRR2_FED_UG_PAIDINFULL_SUPP
## 6484 6484
## BBRR2_FED_UG_DISCHARGE_SUPP BBRR2_FED_UGCOMP_N_SUPP
## 6484 6484
## BBRR2_FED_UGCOMP_DFLT_SUPP BBRR2_FED_UGCOMP_DLNQ_SUPP
## 6484 6484
## BBRR2_FED_UGCOMP_FBR_SUPP BBRR2_FED_UGCOMP_DFR_SUPP
## 6484 6484
## BBRR2_FED_UGCOMP_NOPROG_SUPP BBRR2_FED_UGCOMP_MAKEPROG_SUPP
## 6484 6484
## BBRR2_FED_UGCOMP_PAIDINFULL_SUPP BBRR2_FED_UGCOMP_DISCHARGE_SUPP
## 6484 6484
## LPSTAFFORD_CNT LPSTAFFORD_AMT
## 6484 6484
## LPPPLUS_CNT LPPPLUS_AMT
## 6484 6484
## LPGPLUS_CNT LPGPLUS_AMT
## 6484 6484
## FEDSCHCD BOOKSUPPLY
## 45 3098
## ROOMBOARD_ON OTHEREXPENSE_ON
## 4525 4523
## ROOMBOARD_OFF OTHEREXPENSE_OFF
## 3108 3108
## OTHEREXPENSE_FAM ENDOWBEGIN
## 3104 3784
## ENDOWEND DOLPROVIDER
## 3784 0
## ADMCON7 MDCOMP_PD
## 4498 6484
## MDCOST_PD MDEARN_PD
## 6484 6484
## MDCOMP_ALL MDCOST_ALL
## 6484 6484
## MDEARN_ALL D150_L4_PELL_POOLED
## 6484 3404
## C150_L4_PELL_POOLED D150_4_PELL_POOLED
## 3450 4255
## C150_4_PELL_POOLED C150_L4_PELL_POOLED_SUPP
## 4320 3450
## C150_4_PELL_POOLED_SUPP POOLYRS150_PELL
## 4320 1175
## OMENRYP_PELL_ALL OMENRAP_PELL_ALL
## 2967 2967
## OMAWDP8_PELL_ALL OMENRUP_PELL_ALL
## 2967 2967
## OMENRYP_PELL_FIRSTTIME OMENRAP_PELL_FIRSTTIME
## 3073 3073
## OMAWDP8_PELL_FIRSTTIME OMENRUP_PELL_FIRSTTIME
## 3073 3073
## OMENRYP_PELL_NOTFIRSTTIME OMENRAP_PELL_NOTFIRSTTIME
## 3071 3071
## OMAWDP8_PELL_NOTFIRSTTIME OMENRUP_PELL_NOTFIRSTTIME
## 3071 3071
## OMENRYP_PELL_FULLTIME OMENRAP_PELL_FULLTIME
## 2978 2978
## OMAWDP8_PELL_FULLTIME OMENRUP_PELL_FULLTIME
## 2978 2978
## OMENRYP_PELL_PARTTIME OMENRAP_PELL_PARTTIME
## 3689 3689
## OMAWDP8_PELL_PARTTIME OMENRUP_PELL_PARTTIME
## 3689 3689
## OMACHT8_PELL_FTFT OMAWDP8_PELL_FTFT
## 2832 3090
## OMENRYP8_PELL_FTFT OMENRAP8_PELL_FTFT
## 3090 3090
## OMENRUP8_PELL_FTFT OMACHT8_PELL_PTFT
## 3090 2832
## OMAWDP8_PELL_PTFT OMENRYP8_PELL_PTFT
## 4161 4161
## OMENRAP8_PELL_PTFT OMENRUP8_PELL_PTFT
## 4161 4161
## OMACHT8_PELL_FTNFT OMAWDP8_PELL_FTNFT
## 2832 3088
## OMENRYP8_PELL_FTNFT OMENRAP8_PELL_FTNFT
## 3088 3088
## OMENRUP8_PELL_FTNFT OMACHT8_PELL_PTNFT
## 3088 2832
## OMAWDP8_PELL_PTNFT OMENRYP8_PELL_PTNFT
## 3767 3767
## OMENRAP8_PELL_PTNFT OMENRUP8_PELL_PTNFT
## 3767 3767
## OMACHT8_PELL_FTFT_POOLED OMACHT8_PELL_PTFT_POOLED
## 2818 2818
## OMACHT8_PELL_FTNFT_POOLED OMACHT8_PELL_PTNFT_POOLED
## 2818 2818
## OMAWDP8_PELL_FTFT_POOLED OMENRYP8_PELL_FTFT_POOLED
## 3046 3046
## OMENRAP8_PELL_FTFT_POOLED OMENRUP8_PELL_FTFT_POOLED
## 3046 3046
## OMAWDP8_PELL_PTFT_POOLED OMENRYP8_PELL_PTFT_POOLED
## 3823 3823
## OMENRAP8_PELL_PTFT_POOLED OMENRUP8_PELL_PTFT_POOLED
## 3823 3823
## OMAWDP8_PELL_FTNFT_POOLED OMENRYP8_PELL_FTNFT_POOLED
## 3003 3003
## OMENRAP8_PELL_FTNFT_POOLED OMENRUP8_PELL_FTNFT_POOLED
## 3003 3003
## OMAWDP8_PELL_PTNFT_POOLED OMENRYP8_PELL_PTNFT_POOLED
## 3565 3565
## OMENRAP8_PELL_PTNFT_POOLED OMENRUP8_PELL_PTNFT_POOLED
## 3565 3565
## OMENRYP_PELL_ALL_POOLED OMENRAP_PELL_ALL_POOLED
## 2947 2947
## OMAWDP8_PELL_ALL_POOLED OMENRUP_PELL_ALL_POOLED
## 2947 2947
## OMENRYP_PELL_FTT_POOLED OMENRAP_PELL_FTT_POOLED
## 3036 3036
## OMAWDP8_PELL_FTT_POOLED OMENRUP_PELL_FTT_POOLED
## 3036 3036
## OMENRYP_PELL_NFT_POOLED OMENRAP_PELL_NFT_POOLED
## 2994 2994
## OMAWDP8_PELL_NFT_POOLED OMENRUP_PELL_NFT_POOLED
## 2994 2994
## OMENRYP_PELL_FT_POOLED OMENRAP_PELL_FT_POOLED
## 2954 2954
## OMAWDP8_PELL_FT_POOLED OMENRUP_PELL_FT_POOLED
## 2954 2954
## OMENRYP_PELL_PT_POOLED OMENRAP_PELL_PT_POOLED
## 3509 3509
## OMAWDP8_PELL_PT_POOLED OMENRUP_PELL_PT_POOLED
## 3509 3509
## POOLYRSOM_PELL_FTFT POOLYRSOM_PELL_PTFT
## 2818 2818
## POOLYRSOM_PELL_FTNFT POOLYRSOM_PELL_PTNFT
## 2818 2818
## POOLYRSOM_PELL_ALL POOLYRSOM_PELL_FIRSTTIME
## 2818 2818
## POOLYRSOM_PELL_NOTFIRSTTIME POOLYRSOM_PELL_FULLTIME
## 2818 2818
## POOLYRSOM_PELL_PARTTIME OMAWDP8_PELL_FTFT_POOLED_SUPP
## 2818 3046
## OMENRYP8_PELL_FTFT_POOLED_SUPP OMENRAP8_PELL_FTFT_POOLED_SUPP
## 3046 3046
## OMENRUP8_PELL_FTFT_POOLED_SUPP OMAWDP8_PELL_PTFT_POOLED_SUPP
## 3046 3823
## OMENRYP8_PELL_PTFT_POOLED_SUPP OMENRAP8_PELL_PTFT_POOLED_SUPP
## 3823 3823
## OMENRUP8_PELL_PTFT_POOLED_SUPP OMAWDP8_PELL_FTNFT_POOLED_SUPP
## 3823 3003
## OMENRYP8_PELL_FTNFT_POOLED_SUPP OMENRAP8_PELL_FTNFT_POOLED_SUPP
## 3003 3003
## OMENRUP8_PELL_FTNFT_POOLED_SUPP OMAWDP8_PELL_PTNFT_POOLED_SUPP
## 3003 3565
## OMENRYP8_PELL_PTNFT_POOLED_SUPP OMENRAP8_PELL_PTNFT_POOLED_SUPP
## 3565 3565
## OMENRUP8_PELL_PTNFT_POOLED_SUPP OMENRYP_PELL_ALL_POOLED_SUPP
## 3565 2947
## OMENRAP_PELL_ALL_POOLED_SUPP OMAWDP8_PELL_ALL_POOLED_SUPP
## 2947 2947
## OMENRUP_PELL_ALL_POOLED_SUPP OMENRYP_PELL_FTT_POOLED_SUPP
## 2947 3036
## OMENRAP_PELL_FTT_POOLED_SUPP OMAWDP8_PELL_FTT_POOLED_SUPP
## 3036 3036
## OMENRUP_PELL_FTT_POOLED_SUPP OMENRYP_PELL_NFT_POOLED_SUPP
## 3036 2994
## OMENRAP_PELL_NFT_POOLED_SUPP OMAWDP8_PELL_NFT_POOLED_SUPP
## 2994 2994
## OMENRUP_PELL_NFT_POOLED_SUPP OMENRYP_PELL_FT_POOLED_SUPP
## 2994 2954
## OMENRAP_PELL_FT_POOLED_SUPP OMAWDP8_PELL_FT_POOLED_SUPP
## 2954 2954
## OMENRUP_PELL_FT_POOLED_SUPP OMENRYP_PELL_PT_POOLED_SUPP
## 2954 3509
## OMENRAP_PELL_PT_POOLED_SUPP OMAWDP8_PELL_PT_POOLED_SUPP
## 3509 3509
## OMENRUP_PELL_PT_POOLED_SUPP BBRR1_FED_IND_N
## 3509 0
## BBRR1_FED_IND_DFLT BBRR1_FED_IND_DLNQ
## 0 0
## BBRR1_FED_IND_FBR BBRR1_FED_IND_DFR
## 0 0
## BBRR1_FED_IND_NOPROG BBRR1_FED_IND_MAKEPROG
## 0 0
## BBRR1_FED_IND_PAIDINFULL BBRR1_FED_IND_DISCHARGE
## 0 0
## BBRR1_FED_DEP_N BBRR1_FED_DEP_DFLT
## 0 0
## BBRR1_FED_DEP_DLNQ BBRR1_FED_DEP_FBR
## 0 0
## BBRR1_FED_DEP_DFR BBRR1_FED_DEP_NOPROG
## 0 0
## BBRR1_FED_DEP_MAKEPROG BBRR1_FED_DEP_PAIDINFULL
## 0 0
## BBRR1_FED_DEP_DISCHARGE BBRR1_FED_PELL_N
## 0 0
## BBRR1_FED_PELL_DFLT BBRR1_FED_PELL_DLNQ
## 0 0
## BBRR1_FED_PELL_FBR BBRR1_FED_PELL_DFR
## 0 0
## BBRR1_FED_PELL_NOPROG BBRR1_FED_PELL_MAKEPROG
## 0 0
## BBRR1_FED_PELL_PAIDINFULL BBRR1_FED_PELL_DISCHARGE
## 0 0
## BBRR1_FED_NOPELL_N BBRR1_FED_NOPELL_DFLT
## 0 0
## BBRR1_FED_NOPELL_DLNQ BBRR1_FED_NOPELL_FBR
## 0 0
## BBRR1_FED_NOPELL_DFR BBRR1_FED_NOPELL_NOPROG
## 0 0
## BBRR1_FED_NOPELL_MAKEPROG BBRR1_FED_NOPELL_PAIDINFULL
## 0 0
## BBRR1_FED_NOPELL_DISCHARGE BBRR1_FED_MALE_N
## 0 0
## BBRR1_FED_MALE_DFLT BBRR1_FED_MALE_DLNQ
## 0 0
## BBRR1_FED_MALE_FBR BBRR1_FED_MALE_DFR
## 0 0
## BBRR1_FED_MALE_NOPROG BBRR1_FED_MALE_MAKEPROG
## 0 0
## BBRR1_FED_MALE_PAIDINFULL BBRR1_FED_MALE_DISCHARGE
## 0 0
## BBRR1_FED_NOMALE_N BBRR1_FED_NOMALE_DFLT
## 0 0
## BBRR1_FED_NOMALE_DLNQ BBRR1_FED_NOMALE_FBR
## 0 0
## BBRR1_FED_NOMALE_DFR BBRR1_FED_NOMALE_NOPROG
## 0 0
## BBRR1_FED_NOMALE_MAKEPROG BBRR1_FED_NOMALE_PAIDINFULL
## 0 0
## BBRR1_FED_NOMALE_DISCHARGE BBRR1_PP_IND_N
## 0 0
## BBRR1_PP_IND_DFLT BBRR1_PP_IND_DLNQ
## 0 0
## BBRR1_PP_IND_FBR BBRR1_PP_IND_DFR
## 0 0
## BBRR1_PP_IND_NOPROG BBRR1_PP_IND_MAKEPROG
## 0 0
## BBRR1_PP_IND_PAIDINFULL BBRR1_PP_IND_DISCHARGE
## 0 0
## BBRR1_PP_DEP_N BBRR1_PP_DEP_DFLT
## 0 0
## BBRR1_PP_DEP_DLNQ BBRR1_PP_DEP_FBR
## 0 0
## BBRR1_PP_DEP_DFR BBRR1_PP_DEP_NOPROG
## 0 0
## BBRR1_PP_DEP_MAKEPROG BBRR1_PP_DEP_PAIDINFULL
## 0 0
## BBRR1_PP_DEP_DISCHARGE BBRR1_PP_PELL_N
## 0 0
## BBRR1_PP_PELL_DFLT BBRR1_PP_PELL_DLNQ
## 0 0
## BBRR1_PP_PELL_FBR BBRR1_PP_PELL_DFR
## 0 0
## BBRR1_PP_PELL_NOPROG BBRR1_PP_PELL_MAKEPROG
## 0 0
## BBRR1_PP_PELL_PAIDINFULL BBRR1_PP_PELL_DISCHARGE
## 0 0
## BBRR1_PP_NOPELL_N BBRR1_PP_NOPELL_DFLT
## 0 0
## BBRR1_PP_NOPELL_DLNQ BBRR1_PP_NOPELL_FBR
## 0 0
## BBRR1_PP_NOPELL_DFR BBRR1_PP_NOPELL_NOPROG
## 0 0
## BBRR1_PP_NOPELL_MAKEPROG BBRR1_PP_NOPELL_PAIDINFULL
## 0 0
## BBRR1_PP_NOPELL_DISCHARGE BBRR1_PP_MALE_N
## 0 0
## BBRR1_PP_MALE_DFLT BBRR1_PP_MALE_DLNQ
## 0 0
## BBRR1_PP_MALE_FBR BBRR1_PP_MALE_DFR
## 0 0
## BBRR1_PP_MALE_NOPROG BBRR1_PP_MALE_MAKEPROG
## 0 0
## BBRR1_PP_MALE_PAIDINFULL BBRR1_PP_MALE_DISCHARGE
## 0 0
## BBRR1_PP_NOMALE_N BBRR1_PP_NOMALE_DFLT
## 0 0
## BBRR1_PP_NOMALE_DLNQ BBRR1_PP_NOMALE_FBR
## 0 0
## BBRR1_PP_NOMALE_DFR BBRR1_PP_NOMALE_NOPROG
## 0 0
## BBRR1_PP_NOMALE_MAKEPROG BBRR1_PP_NOMALE_PAIDINFULL
## 0 0
## BBRR1_PP_NOMALE_DISCHARGE BBRR2_FED_IND_N
## 0 6484
## BBRR2_FED_IND_DFLT BBRR2_FED_IND_DLNQ
## 6484 6484
## BBRR2_FED_IND_FBR BBRR2_FED_IND_DFR
## 6484 6484
## BBRR2_FED_IND_NOPROG BBRR2_FED_IND_MAKEPROG
## 6484 6484
## BBRR2_FED_IND_PAIDINFULL BBRR2_FED_IND_DISCHARGE
## 6484 6484
## BBRR2_FED_DEP_N BBRR2_FED_DEP_DFLT
## 6484 6484
## BBRR2_FED_DEP_DLNQ BBRR2_FED_DEP_FBR
## 6484 6484
## BBRR2_FED_DEP_DFR BBRR2_FED_DEP_NOPROG
## 6484 6484
## BBRR2_FED_DEP_MAKEPROG BBRR2_FED_DEP_PAIDINFULL
## 6484 6484
## BBRR2_FED_DEP_DISCHARGE BBRR2_FED_PELL_N
## 6484 6484
## BBRR2_FED_PELL_DFLT BBRR2_FED_PELL_DLNQ
## 6484 6484
## BBRR2_FED_PELL_FBR BBRR2_FED_PELL_DFR
## 6484 6484
## BBRR2_FED_PELL_NOPROG BBRR2_FED_PELL_MAKEPROG
## 6484 6484
## BBRR2_FED_PELL_PAIDINFULL BBRR2_FED_PELL_DISCHARGE
## 6484 6484
## BBRR2_FED_NOPELL_N BBRR2_FED_NOPELL_DFLT
## 6484 6484
## BBRR2_FED_NOPELL_DLNQ BBRR2_FED_NOPELL_FBR
## 6484 6484
## BBRR2_FED_NOPELL_DFR BBRR2_FED_NOPELL_NOPROG
## 6484 6484
## BBRR2_FED_NOPELL_MAKEPROG BBRR2_FED_NOPELL_PAIDINFULL
## 6484 6484
## BBRR2_FED_NOPELL_DISCHARGE BBRR2_FED_MALE_N
## 6484 6484
## BBRR2_FED_MALE_DFLT BBRR2_FED_MALE_DLNQ
## 6484 6484
## BBRR2_FED_MALE_FBR BBRR2_FED_MALE_DFR
## 6484 6484
## BBRR2_FED_MALE_NOPROG BBRR2_FED_MALE_MAKEPROG
## 6484 6484
## BBRR2_FED_MALE_PAIDINFULL BBRR2_FED_MALE_DISCHARGE
## 6484 6484
## BBRR2_FED_NOMALE_N BBRR2_FED_NOMALE_DFLT
## 6484 6484
## BBRR2_FED_NOMALE_DLNQ BBRR2_FED_NOMALE_FBR
## 6484 6484
## BBRR2_FED_NOMALE_DFR BBRR2_FED_NOMALE_NOPROG
## 6484 6484
## BBRR2_FED_NOMALE_MAKEPROG BBRR2_FED_NOMALE_PAIDINFULL
## 6484 6484
## BBRR2_FED_NOMALE_DISCHARGE BBRR2_PP_IND_N
## 6484 6484
## BBRR2_PP_IND_DFLT BBRR2_PP_IND_DLNQ
## 6484 6484
## BBRR2_PP_IND_FBR BBRR2_PP_IND_DFR
## 6484 6484
## BBRR2_PP_IND_NOPROG BBRR2_PP_IND_MAKEPROG
## 6484 6484
## BBRR2_PP_IND_PAIDINFULL BBRR2_PP_IND_DISCHARGE
## 6484 6484
## BBRR2_PP_DEP_N BBRR2_PP_DEP_DFLT
## 6484 6484
## BBRR2_PP_DEP_DLNQ BBRR2_PP_DEP_FBR
## 6484 6484
## BBRR2_PP_DEP_DFR BBRR2_PP_DEP_NOPROG
## 6484 6484
## BBRR2_PP_DEP_MAKEPROG BBRR2_PP_DEP_PAIDINFULL
## 6484 6484
## BBRR2_PP_DEP_DISCHARGE BBRR2_PP_PELL_N
## 6484 6484
## BBRR2_PP_PELL_DFLT BBRR2_PP_PELL_DLNQ
## 6484 6484
## BBRR2_PP_PELL_FBR BBRR2_PP_PELL_DFR
## 6484 6484
## BBRR2_PP_PELL_NOPROG BBRR2_PP_PELL_MAKEPROG
## 6484 6484
## BBRR2_PP_PELL_PAIDINFULL BBRR2_PP_PELL_DISCHARGE
## 6484 6484
## BBRR2_PP_NOPELL_N BBRR2_PP_NOPELL_DFLT
## 6484 6484
## BBRR2_PP_NOPELL_DLNQ BBRR2_PP_NOPELL_FBR
## 6484 6484
## BBRR2_PP_NOPELL_DFR BBRR2_PP_NOPELL_NOPROG
## 6484 6484
## BBRR2_PP_NOPELL_MAKEPROG BBRR2_PP_NOPELL_PAIDINFULL
## 6484 6484
## BBRR2_PP_NOPELL_DISCHARGE BBRR2_PP_MALE_N
## 6484 6484
## BBRR2_PP_MALE_DFLT BBRR2_PP_MALE_DLNQ
## 6484 6484
## BBRR2_PP_MALE_FBR BBRR2_PP_MALE_DFR
## 6484 6484
## BBRR2_PP_MALE_NOPROG BBRR2_PP_MALE_MAKEPROG
## 6484 6484
## BBRR2_PP_MALE_PAIDINFULL BBRR2_PP_MALE_DISCHARGE
## 6484 6484
## BBRR2_PP_NOMALE_N BBRR2_PP_NOMALE_DFLT
## 6484 6484
## BBRR2_PP_NOMALE_DLNQ BBRR2_PP_NOMALE_FBR
## 6484 6484
## BBRR2_PP_NOMALE_DFR BBRR2_PP_NOMALE_NOPROG
## 6484 6484
## BBRR2_PP_NOMALE_MAKEPROG BBRR2_PP_NOMALE_PAIDINFULL
## 6484 6484
## BBRR2_PP_NOMALE_DISCHARGE BBRR3_FED_UG_N
## 6484 6484
## BBRR3_FED_UG_DFLT BBRR3_FED_UG_DLNQ
## 6484 6484
## BBRR3_FED_UG_FBR BBRR3_FED_UG_DFR
## 6484 6484
## BBRR3_FED_UG_NOPROG BBRR3_FED_UG_MAKEPROG
## 6484 6484
## BBRR3_FED_UG_PAIDINFULL BBRR3_FED_UG_DISCHARGE
## 6484 6484
## BBRR3_FED_UGCOMP_N BBRR3_FED_UGCOMP_DFLT
## 6484 6484
## BBRR3_FED_UGCOMP_DLNQ BBRR3_FED_UGCOMP_FBR
## 6484 6484
## BBRR3_FED_UGCOMP_DFR BBRR3_FED_UGCOMP_NOPROG
## 6484 6484
## BBRR3_FED_UGCOMP_MAKEPROG BBRR3_FED_UGCOMP_PAIDINFULL
## 6484 6484
## BBRR3_FED_UGCOMP_DISCHARGE BBRR3_FED_UGNOCOMP_N
## 6484 6484
## BBRR3_FED_UGNOCOMP_DFLT BBRR3_FED_UGNOCOMP_DLNQ
## 6484 6484
## BBRR3_FED_UGNOCOMP_FBR BBRR3_FED_UGNOCOMP_DFR
## 6484 6484
## BBRR3_FED_UGNOCOMP_NOPROG BBRR3_FED_UGNOCOMP_MAKEPROG
## 6484 6484
## BBRR3_FED_UGNOCOMP_PAIDINFULL BBRR3_FED_UGNOCOMP_DISCHARGE
## 6484 6484
## BBRR3_FED_UGUNK_N BBRR3_FED_UGUNK_DFLT
## 6484 6484
## BBRR3_FED_UGUNK_DLNQ BBRR3_FED_UGUNK_FBR
## 6484 6484
## BBRR3_FED_UGUNK_DFR BBRR3_FED_UGUNK_NOPROG
## 6484 6484
## BBRR3_FED_UGUNK_MAKEPROG BBRR3_FED_UGUNK_PAIDINFULL
## 6484 6484
## BBRR3_FED_UGUNK_DISCHARGE BBRR3_FED_GR_N
## 6484 6484
## BBRR3_FED_GR_DFLT BBRR3_FED_GR_DLNQ
## 6484 6484
## BBRR3_FED_GR_FBR BBRR3_FED_GR_DFR
## 6484 6484
## BBRR3_FED_GR_NOPROG BBRR3_FED_GR_MAKEPROG
## 6484 6484
## BBRR3_FED_GR_PAIDINFULL BBRR3_FED_GR_DISCHARGE
## 6484 6484
## BBRR3_FED_GRCOMP_N BBRR3_FED_GRCOMP_DFLT
## 6484 6484
## BBRR3_FED_GRCOMP_DLNQ BBRR3_FED_GRCOMP_FBR
## 6484 6484
## BBRR3_FED_GRCOMP_DFR BBRR3_FED_GRCOMP_NOPROG
## 6484 6484
## BBRR3_FED_GRCOMP_MAKEPROG BBRR3_FED_GRCOMP_PAIDINFULL
## 6484 6484
## BBRR3_FED_GRCOMP_DISCHARGE BBRR3_FED_GRNOCOMP_N
## 6484 6484
## BBRR3_FED_GRNOCOMP_DFLT BBRR3_FED_GRNOCOMP_DLNQ
## 6484 6484
## BBRR3_FED_GRNOCOMP_FBR BBRR3_FED_GRNOCOMP_DFR
## 6484 6484
## BBRR3_FED_GRNOCOMP_NOPROG BBRR3_FED_GRNOCOMP_MAKEPROG
## 6484 6484
## BBRR3_FED_GRNOCOMP_PAIDINFULL BBRR3_FED_GRNOCOMP_DISCHARGE
## 6484 6484
## BBRR3_PP_UG_N BBRR3_PP_UG_DFLT
## 6484 6484
## BBRR3_PP_UG_DLNQ BBRR3_PP_UG_FBR
## 6484 6484
## BBRR3_PP_UG_DFR BBRR3_PP_UG_NOPROG
## 6484 6484
## BBRR3_PP_UG_MAKEPROG BBRR3_PP_UG_PAIDINFULL
## 6484 6484
## BBRR3_PP_UG_DISCHARGE BBRR3_PP_UGCOMP_N
## 6484 6484
## BBRR3_PP_UGCOMP_DFLT BBRR3_PP_UGCOMP_DLNQ
## 6484 6484
## BBRR3_PP_UGCOMP_FBR BBRR3_PP_UGCOMP_DFR
## 6484 6484
## BBRR3_PP_UGCOMP_NOPROG BBRR3_PP_UGCOMP_MAKEPROG
## 6484 6484
## BBRR3_PP_UGCOMP_PAIDINFULL BBRR3_PP_UGCOMP_DISCHARGE
## 6484 6484
## BBRR3_PP_UGNOCOMP_N BBRR3_PP_UGNOCOMP_DFLT
## 6484 6484
## BBRR3_PP_UGNOCOMP_DLNQ BBRR3_PP_UGNOCOMP_FBR
## 6484 6484
## BBRR3_PP_UGNOCOMP_DFR BBRR3_PP_UGNOCOMP_NOPROG
## 6484 6484
## BBRR3_PP_UGNOCOMP_MAKEPROG BBRR3_PP_UGNOCOMP_PAIDINFULL
## 6484 6484
## BBRR3_PP_UGNOCOMP_DISCHARGE BBRR3_PP_UGUNK_N
## 6484 6484
## BBRR3_PP_UGUNK_DFLT BBRR3_PP_UGUNK_DLNQ
## 6484 6484
## BBRR3_PP_UGUNK_FBR BBRR3_PP_UGUNK_DFR
## 6484 6484
## BBRR3_PP_UGUNK_NOPROG BBRR3_PP_UGUNK_MAKEPROG
## 6484 6484
## BBRR3_PP_UGUNK_PAIDINFULL BBRR3_PP_UGUNK_DISCHARGE
## 6484 6484
## BBRR3_FED_IND_N BBRR3_FED_IND_DFLT
## 6484 6484
## BBRR3_FED_IND_DLNQ BBRR3_FED_IND_FBR
## 6484 6484
## BBRR3_FED_IND_DFR BBRR3_FED_IND_NOPROG
## 6484 6484
## BBRR3_FED_IND_MAKEPROG BBRR3_FED_IND_PAIDINFULL
## 6484 6484
## BBRR3_FED_IND_DISCHARGE BBRR3_FED_DEP_N
## 6484 6484
## BBRR3_FED_DEP_DFLT BBRR3_FED_DEP_DLNQ
## 6484 6484
## BBRR3_FED_DEP_FBR BBRR3_FED_DEP_DFR
## 6484 6484
## BBRR3_FED_DEP_NOPROG BBRR3_FED_DEP_MAKEPROG
## 6484 6484
## BBRR3_FED_DEP_PAIDINFULL BBRR3_FED_DEP_DISCHARGE
## 6484 6484
## BBRR3_FED_PELL_N BBRR3_FED_PELL_DFLT
## 6484 6484
## BBRR3_FED_PELL_DLNQ BBRR3_FED_PELL_FBR
## 6484 6484
## BBRR3_FED_PELL_DFR BBRR3_FED_PELL_NOPROG
## 6484 6484
## BBRR3_FED_PELL_MAKEPROG BBRR3_FED_PELL_PAIDINFULL
## 6484 6484
## BBRR3_FED_PELL_DISCHARGE BBRR3_FED_NOPELL_N
## 6484 6484
## BBRR3_FED_NOPELL_DFLT BBRR3_FED_NOPELL_DLNQ
## 6484 6484
## BBRR3_FED_NOPELL_FBR BBRR3_FED_NOPELL_DFR
## 6484 6484
## BBRR3_FED_NOPELL_NOPROG BBRR3_FED_NOPELL_MAKEPROG
## 6484 6484
## BBRR3_FED_NOPELL_PAIDINFULL BBRR3_FED_NOPELL_DISCHARGE
## 6484 6484
## BBRR3_FED_MALE_N BBRR3_FED_MALE_DFLT
## 6484 6484
## BBRR3_FED_MALE_DLNQ BBRR3_FED_MALE_FBR
## 6484 6484
## BBRR3_FED_MALE_DFR BBRR3_FED_MALE_NOPROG
## 6484 6484
## BBRR3_FED_MALE_MAKEPROG BBRR3_FED_MALE_PAIDINFULL
## 6484 6484
## BBRR3_FED_MALE_DISCHARGE BBRR3_FED_NOMALE_N
## 6484 6484
## BBRR3_FED_NOMALE_DFLT BBRR3_FED_NOMALE_DLNQ
## 6484 6484
## BBRR3_FED_NOMALE_FBR BBRR3_FED_NOMALE_DFR
## 6484 6484
## BBRR3_FED_NOMALE_NOPROG BBRR3_FED_NOMALE_MAKEPROG
## 6484 6484
## BBRR3_FED_NOMALE_PAIDINFULL BBRR3_FED_NOMALE_DISCHARGE
## 6484 6484
## BBRR3_PP_IND_N BBRR3_PP_IND_DFLT
## 6484 6484
## BBRR3_PP_IND_DLNQ BBRR3_PP_IND_FBR
## 6484 6484
## BBRR3_PP_IND_DFR BBRR3_PP_IND_NOPROG
## 6484 6484
## BBRR3_PP_IND_MAKEPROG BBRR3_PP_IND_PAIDINFULL
## 6484 6484
## BBRR3_PP_IND_DISCHARGE BBRR3_PP_DEP_N
## 6484 6484
## BBRR3_PP_DEP_DFLT BBRR3_PP_DEP_DLNQ
## 6484 6484
## BBRR3_PP_DEP_FBR BBRR3_PP_DEP_DFR
## 6484 6484
## BBRR3_PP_DEP_NOPROG BBRR3_PP_DEP_MAKEPROG
## 6484 6484
## BBRR3_PP_DEP_PAIDINFULL BBRR3_PP_DEP_DISCHARGE
## 6484 6484
## BBRR3_PP_PELL_N BBRR3_PP_PELL_DFLT
## 6484 6484
## BBRR3_PP_PELL_DLNQ BBRR3_PP_PELL_FBR
## 6484 6484
## BBRR3_PP_PELL_DFR BBRR3_PP_PELL_NOPROG
## 6484 6484
## BBRR3_PP_PELL_MAKEPROG BBRR3_PP_PELL_PAIDINFULL
## 6484 6484
## BBRR3_PP_PELL_DISCHARGE BBRR3_PP_NOPELL_N
## 6484 6484
## BBRR3_PP_NOPELL_DFLT BBRR3_PP_NOPELL_DLNQ
## 6484 6484
## BBRR3_PP_NOPELL_FBR BBRR3_PP_NOPELL_DFR
## 6484 6484
## BBRR3_PP_NOPELL_NOPROG BBRR3_PP_NOPELL_MAKEPROG
## 6484 6484
## BBRR3_PP_NOPELL_PAIDINFULL BBRR3_PP_NOPELL_DISCHARGE
## 6484 6484
## BBRR3_PP_MALE_N BBRR3_PP_MALE_DFLT
## 6484 6484
## BBRR3_PP_MALE_DLNQ BBRR3_PP_MALE_FBR
## 6484 6484
## BBRR3_PP_MALE_DFR BBRR3_PP_MALE_NOPROG
## 6484 6484
## BBRR3_PP_MALE_MAKEPROG BBRR3_PP_MALE_PAIDINFULL
## 6484 6484
## BBRR3_PP_MALE_DISCHARGE BBRR3_PP_NOMALE_N
## 6484 6484
## BBRR3_PP_NOMALE_DFLT BBRR3_PP_NOMALE_DLNQ
## 6484 6484
## BBRR3_PP_NOMALE_FBR BBRR3_PP_NOMALE_DFR
## 6484 6484
## BBRR3_PP_NOMALE_NOPROG BBRR3_PP_NOMALE_MAKEPROG
## 6484 6484
## BBRR3_PP_NOMALE_PAIDINFULL BBRR3_PP_NOMALE_DISCHARGE
## 6484 6484
## COUNT_NWNE_1YR COUNT_WNE_1YR
## 6484 6484
## CNTOVER150_1YR GT_THRESHOLD_P6
## 6484 6484
## GT_THRESHOLD_P6_SUPP MD_EARN_WNE_INC1_P6
## 6484 6484
## MD_EARN_WNE_INC2_P6 MD_EARN_WNE_INC3_P6
## 6484 6484
## MD_EARN_WNE_INDEP1_P6 MD_EARN_WNE_INDEP0_P6
## 6484 6484
## MD_EARN_WNE_MALE0_P6 MD_EARN_WNE_MALE1_P6
## 6484 6484
## GT_THRESHOLD_P8 COUNT_WNE_INC1_P8
## 6484 6484
## MD_EARN_WNE_INC1_P8 COUNT_WNE_INC2_P8
## 6484 6484
## MD_EARN_WNE_INC2_P8 COUNT_WNE_INC3_P8
## 6484 6484
## MD_EARN_WNE_INC3_P8 COUNT_WNE_INDEP1_P8
## 6484 6484
## MD_EARN_WNE_INDEP1_P8 COUNT_WNE_INDEP0_P8
## 6484 6484
## MD_EARN_WNE_INDEP0_P8 COUNT_WNE_MALE0_P8
## 6484 6484
## MD_EARN_WNE_MALE0_P8 COUNT_WNE_MALE1_P8
## 6484 6484
## MD_EARN_WNE_MALE1_P8 GT_THRESHOLD_P10
## 6484 6484
## MD_EARN_WNE_INC1_P10 MD_EARN_WNE_INC2_P10
## 6484 6484
## MD_EARN_WNE_INC3_P10 MD_EARN_WNE_INDEP1_P10
## 6484 6484
## MD_EARN_WNE_INDEP0_P10 MD_EARN_WNE_MALE0_P10
## 6484 6484
## MD_EARN_WNE_MALE1_P10 STUFACR
## 6484 782
## IRPS_2MOR IRPS_AIAN
## 740 740
## IRPS_ASIAN IRPS_BLACK
## 740 740
## IRPS_HISP IRPS_NHPI
## 740 740
## IRPS_NRA IRPS_UNKN
## 740 740
## IRPS_WHITE IRPS_WOMEN
## 740 740
## IRPS_MEN MD_EARN_WNE_1YR
## 740 6484
## GT_THRESHOLD_1YR COUNT_NWNE_4YR
## 6484 6484
## COUNT_WNE_4YR MD_EARN_WNE_4YR
## 6484 6484
## GT_THRESHOLD_4YR BBRR4_FED_UG_N
## 6484 0
## BBRR4_FED_UG_DFLT BBRR4_FED_UG_DLNQ
## 0 0
## BBRR4_FED_UG_FBR BBRR4_FED_UG_DFR
## 0 0
## BBRR4_FED_UG_NOPROG BBRR4_FED_UG_MAKEPROG
## 0 0
## BBRR4_FED_UG_PAIDINFULL BBRR4_FED_UG_DISCHARGE
## 0 0
## BBRR4_FED_UGCOMP_N BBRR4_FED_UGCOMP_DFLT
## 0 0
## BBRR4_FED_UGCOMP_DLNQ BBRR4_FED_UGCOMP_FBR
## 0 0
## BBRR4_FED_UGCOMP_DFR BBRR4_FED_UGCOMP_NOPROG
## 0 0
## BBRR4_FED_UGCOMP_MAKEPROG BBRR4_FED_UGCOMP_PAIDINFULL
## 0 0
## BBRR4_FED_UGCOMP_DISCHARGE BBRR4_FED_UGNOCOMP_N
## 0 0
## BBRR4_FED_UGNOCOMP_DFLT BBRR4_FED_UGNOCOMP_DLNQ
## 0 0
## BBRR4_FED_UGNOCOMP_FBR BBRR4_FED_UGNOCOMP_DFR
## 0 0
## BBRR4_FED_UGNOCOMP_NOPROG BBRR4_FED_UGNOCOMP_MAKEPROG
## 0 0
## BBRR4_FED_UGNOCOMP_PAIDINFULL BBRR4_FED_UGNOCOMP_DISCHARGE
## 0 0
## BBRR4_FED_UGUNK_N BBRR4_FED_UGUNK_DFLT
## 0 0
## BBRR4_FED_UGUNK_DLNQ BBRR4_FED_UGUNK_FBR
## 0 0
## BBRR4_FED_UGUNK_DFR BBRR4_FED_UGUNK_NOPROG
## 0 0
## BBRR4_FED_UGUNK_MAKEPROG BBRR4_FED_UGUNK_PAIDINFULL
## 0 0
## BBRR4_FED_UGUNK_DISCHARGE BBRR4_FED_GR_N
## 0 0
## BBRR4_FED_GR_DFLT BBRR4_FED_GR_DLNQ
## 0 0
## BBRR4_FED_GR_FBR BBRR4_FED_GR_DFR
## 0 0
## BBRR4_FED_GR_NOPROG BBRR4_FED_GR_MAKEPROG
## 0 0
## BBRR4_FED_GR_PAIDINFULL BBRR4_FED_GR_DISCHARGE
## 0 0
## BBRR4_FED_GRCOMP_N BBRR4_FED_GRCOMP_DFLT
## 0 0
## BBRR4_FED_GRCOMP_DLNQ BBRR4_FED_GRCOMP_FBR
## 0 0
## BBRR4_FED_GRCOMP_DFR BBRR4_FED_GRCOMP_NOPROG
## 0 0
## BBRR4_FED_GRCOMP_MAKEPROG BBRR4_FED_GRCOMP_PAIDINFULL
## 0 0
## BBRR4_FED_GRCOMP_DISCHARGE BBRR4_FED_GRNOCOMP_N
## 0 0
## BBRR4_FED_GRNOCOMP_DFLT BBRR4_FED_GRNOCOMP_DLNQ
## 0 0
## BBRR4_FED_GRNOCOMP_FBR BBRR4_FED_GRNOCOMP_DFR
## 0 0
## BBRR4_FED_GRNOCOMP_NOPROG BBRR4_FED_GRNOCOMP_MAKEPROG
## 0 0
## BBRR4_FED_GRNOCOMP_PAIDINFULL BBRR4_FED_GRNOCOMP_DISCHARGE
## 0 0
## BBRR4_PP_UG_N BBRR4_PP_UG_DFLT
## 0 0
## BBRR4_PP_UG_DLNQ BBRR4_PP_UG_FBR
## 0 0
## BBRR4_PP_UG_DFR BBRR4_PP_UG_NOPROG
## 0 0
## BBRR4_PP_UG_MAKEPROG BBRR4_PP_UG_PAIDINFULL
## 0 0
## BBRR4_PP_UG_DISCHARGE BBRR4_PP_UGCOMP_N
## 0 0
## BBRR4_PP_UGCOMP_DFLT BBRR4_PP_UGCOMP_DLNQ
## 0 0
## BBRR4_PP_UGCOMP_FBR BBRR4_PP_UGCOMP_DFR
## 0 0
## BBRR4_PP_UGCOMP_NOPROG BBRR4_PP_UGCOMP_MAKEPROG
## 0 0
## BBRR4_PP_UGCOMP_PAIDINFULL BBRR4_PP_UGCOMP_DISCHARGE
## 0 0
## BBRR4_PP_UGNOCOMP_N BBRR4_PP_UGNOCOMP_DFLT
## 0 0
## BBRR4_PP_UGNOCOMP_DLNQ BBRR4_PP_UGNOCOMP_FBR
## 0 0
## BBRR4_PP_UGNOCOMP_DFR BBRR4_PP_UGNOCOMP_NOPROG
## 0 0
## BBRR4_PP_UGNOCOMP_MAKEPROG BBRR4_PP_UGNOCOMP_PAIDINFULL
## 0 0
## BBRR4_PP_UGNOCOMP_DISCHARGE BBRR4_PP_UGUNK_N
## 0 0
## BBRR4_PP_UGUNK_DFLT BBRR4_PP_UGUNK_DLNQ
## 0 0
## BBRR4_PP_UGUNK_FBR BBRR4_PP_UGUNK_DFR
## 0 0
## BBRR4_PP_UGUNK_NOPROG BBRR4_PP_UGUNK_MAKEPROG
## 0 0
## BBRR4_PP_UGUNK_PAIDINFULL BBRR4_PP_UGUNK_DISCHARGE
## 0 0
## BBRR4_FED_IND_N BBRR4_FED_IND_DFLT
## 0 0
## BBRR4_FED_IND_DLNQ BBRR4_FED_IND_FBR
## 0 0
## BBRR4_FED_IND_DFR BBRR4_FED_IND_NOPROG
## 0 0
## BBRR4_FED_IND_MAKEPROG BBRR4_FED_IND_PAIDINFULL
## 0 0
## BBRR4_FED_IND_DISCHARGE BBRR4_FED_DEP_N
## 0 0
## BBRR4_FED_DEP_DFLT BBRR4_FED_DEP_DLNQ
## 0 0
## BBRR4_FED_DEP_FBR BBRR4_FED_DEP_DFR
## 0 0
## BBRR4_FED_DEP_NOPROG BBRR4_FED_DEP_MAKEPROG
## 0 0
## BBRR4_FED_DEP_PAIDINFULL BBRR4_FED_DEP_DISCHARGE
## 0 0
## BBRR4_FED_PELL_N BBRR4_FED_PELL_DFLT
## 0 0
## BBRR4_FED_PELL_DLNQ BBRR4_FED_PELL_FBR
## 0 0
## BBRR4_FED_PELL_DFR BBRR4_FED_PELL_NOPROG
## 0 0
## BBRR4_FED_PELL_MAKEPROG BBRR4_FED_PELL_PAIDINFULL
## 0 0
## BBRR4_FED_PELL_DISCHARGE BBRR4_FED_NOPELL_N
## 0 0
## BBRR4_FED_NOPELL_DFLT BBRR4_FED_NOPELL_DLNQ
## 0 0
## BBRR4_FED_NOPELL_FBR BBRR4_FED_NOPELL_DFR
## 0 0
## BBRR4_FED_NOPELL_NOPROG BBRR4_FED_NOPELL_MAKEPROG
## 0 0
## BBRR4_FED_NOPELL_PAIDINFULL BBRR4_FED_NOPELL_DISCHARGE
## 0 0
## BBRR4_FED_MALE_N BBRR4_FED_MALE_DFLT
## 0 0
## BBRR4_FED_MALE_DLNQ BBRR4_FED_MALE_FBR
## 0 0
## BBRR4_FED_MALE_DFR BBRR4_FED_MALE_NOPROG
## 0 0
## BBRR4_FED_MALE_MAKEPROG BBRR4_FED_MALE_PAIDINFULL
## 0 0
## BBRR4_FED_MALE_DISCHARGE BBRR4_FED_NOMALE_N
## 0 0
## BBRR4_FED_NOMALE_DFLT BBRR4_FED_NOMALE_DLNQ
## 0 0
## BBRR4_FED_NOMALE_FBR BBRR4_FED_NOMALE_DFR
## 0 0
## BBRR4_FED_NOMALE_NOPROG BBRR4_FED_NOMALE_MAKEPROG
## 0 0
## BBRR4_FED_NOMALE_PAIDINFULL BBRR4_FED_NOMALE_DISCHARGE
## 0 0
## BBRR4_PP_IND_N BBRR4_PP_IND_DFLT
## 0 0
## BBRR4_PP_IND_DLNQ BBRR4_PP_IND_FBR
## 0 0
## BBRR4_PP_IND_DFR BBRR4_PP_IND_NOPROG
## 0 0
## BBRR4_PP_IND_MAKEPROG BBRR4_PP_IND_PAIDINFULL
## 0 0
## BBRR4_PP_IND_DISCHARGE BBRR4_PP_DEP_N
## 0 0
## BBRR4_PP_DEP_DFLT BBRR4_PP_DEP_DLNQ
## 0 0
## BBRR4_PP_DEP_FBR BBRR4_PP_DEP_DFR
## 0 0
## BBRR4_PP_DEP_NOPROG BBRR4_PP_DEP_MAKEPROG
## 0 0
## BBRR4_PP_DEP_PAIDINFULL BBRR4_PP_DEP_DISCHARGE
## 0 0
## BBRR4_PP_PELL_N BBRR4_PP_PELL_DFLT
## 0 0
## BBRR4_PP_PELL_DLNQ BBRR4_PP_PELL_FBR
## 0 0
## BBRR4_PP_PELL_DFR BBRR4_PP_PELL_NOPROG
## 0 0
## BBRR4_PP_PELL_MAKEPROG BBRR4_PP_PELL_PAIDINFULL
## 0 0
## BBRR4_PP_PELL_DISCHARGE BBRR4_PP_NOPELL_N
## 0 0
## BBRR4_PP_NOPELL_DFLT BBRR4_PP_NOPELL_DLNQ
## 0 0
## BBRR4_PP_NOPELL_FBR BBRR4_PP_NOPELL_DFR
## 0 0
## BBRR4_PP_NOPELL_NOPROG BBRR4_PP_NOPELL_MAKEPROG
## 0 0
## BBRR4_PP_NOPELL_PAIDINFULL BBRR4_PP_NOPELL_DISCHARGE
## 0 0
## BBRR4_PP_MALE_N BBRR4_PP_MALE_DFLT
## 0 0
## BBRR4_PP_MALE_DLNQ BBRR4_PP_MALE_FBR
## 0 0
## BBRR4_PP_MALE_DFR BBRR4_PP_MALE_NOPROG
## 0 0
## BBRR4_PP_MALE_MAKEPROG BBRR4_PP_MALE_PAIDINFULL
## 0 0
## BBRR4_PP_MALE_DISCHARGE BBRR4_PP_NOMALE_N
## 0 0
## BBRR4_PP_NOMALE_DFLT BBRR4_PP_NOMALE_DLNQ
## 0 0
## BBRR4_PP_NOMALE_FBR BBRR4_PP_NOMALE_DFR
## 0 0
## BBRR4_PP_NOMALE_NOPROG BBRR4_PP_NOMALE_MAKEPROG
## 0 0
## BBRR4_PP_NOMALE_PAIDINFULL BBRR4_PP_NOMALE_DISCHARGE
## 0 0
## CONTROL_PEPS ADM_RATE_SUPP
## 30 4528
## OMENRYP_NOPELL_ALL OMENRAP_NOPELL_ALL
## 2843 2843
## OMAWDP8_NOPELL_ALL OMENRUP_NOPELL_ALL
## 2843 2843
## OMENRYP_NOPELL_FIRSTTIME OMENRAP_NOPELL_FIRSTTIME
## 2973 2973
## OMAWDP8_NOPELL_FIRSTTIME OMENRUP_NOPELL_FIRSTTIME
## 2973 2973
## OMENRYP_NOPELL_NOTFIRSTTIME OMENRAP_NOPELL_NOTFIRSTTIME
## 2937 2937
## OMAWDP8_NOPELL_NOTFIRSTTIME OMENRUP_NOPELL_NOTFIRSTTIME
## 2937 2937
## OMACHT8_NOPELL_ALL OMACHT8_NOPELL_FIRSTTIME
## 2832 2832
## OMACHT8_NOPELL_NOTFIRSTTIME ADDR
## 2832 498
## PCTPELL_DCS PCTFLOAN_DCS
## 805 805
## DCS_PELL_LOAN PCTPELL_DCS_POOLED_SUPP
## 797 805
## PCTFLOAN_DCS_POOLED_SUPP DCS_PELL_LOAN_POOLED
## 805 797
## POOLYRS_DCS SATVR50
## 797 5476
## SATMT50 ACTCM50
## 5476 5480
## ACTEN50 ACTMT50
## 5539 5539
## COUNT_NWNE_5YR COUNT_WNE_5YR
## 6484 6484
## MD_EARN_WNE_5YR GT_THRESHOLD_5YR
## 6484 6484
## MD_EARN_WNE_P7 PCT25_EARN_WNE_P7
## 6484 6484
## PCT75_EARN_WNE_P7 COUNT_WNE_INC1_P7
## 6484 6484
## COUNT_WNE_INC2_P7 COUNT_WNE_INC3_P7
## 6484 6484
## COUNT_WNE_INDEP0_P7 COUNT_WNE_INDEP1_P7
## 6484 6484
## COUNT_WNE_MALE0_P7 COUNT_WNE_MALE1_P7
## 6484 6484
## GT_THRESHOLD_P7 MD_EARN_WNE_INC1_P7
## 6484 6484
## MD_EARN_WNE_INC2_P7 MD_EARN_WNE_INC3_P7
## 6484 6484
## MD_EARN_WNE_INDEP1_P7 MD_EARN_WNE_INDEP0_P7
## 6484 6484
## MD_EARN_WNE_MALE0_P7 MD_EARN_WNE_MALE1_P7
## 6484 6484
## MD_EARN_WNE_P9 PCT25_EARN_WNE_P9
## 6484 6484
## PCT75_EARN_WNE_P9 COUNT_WNE_INC1_P9
## 6484 6484
## COUNT_WNE_INC2_P9 COUNT_WNE_INC3_P9
## 6484 6484
## COUNT_WNE_INDEP0_P9 COUNT_WNE_INDEP1_P9
## 6484 6484
## COUNT_WNE_MALE0_P9 COUNT_WNE_MALE1_P9
## 6484 6484
## GT_THRESHOLD_P9 MD_EARN_WNE_INC1_P9
## 6484 6484
## MD_EARN_WNE_INC2_P9 MD_EARN_WNE_INC3_P9
## 6484 6484
## MD_EARN_WNE_INDEP0_P9 MD_EARN_WNE_INDEP1_P9
## 6484 6484
## MD_EARN_WNE_MALE0_P9 MD_EARN_WNE_MALE1_P9
## 6484 6484
## COUNT_NWNE_P11 COUNT_WNE_P11
## 6484 6484
## MD_EARN_WNE_P11 PCT25_EARN_WNE_P11
## 6484 6484
## PCT75_EARN_WNE_P11 SD_EARN_WNE_P11
## 6484 6484
## COUNT_WNE_INC1_P11 COUNT_WNE_INC2_P11
## 6484 6484
## COUNT_WNE_INC3_P11 COUNT_WNE_INDEP0_P11
## 6484 6484
## COUNT_WNE_INDEP1_P11 COUNT_WNE_MALE0_P11
## 6484 6484
## COUNT_WNE_MALE1_P11 GT_THRESHOLD_P11
## 6484 6484
## MD_EARN_WNE_INC1_P11 MD_EARN_WNE_INC2_P11
## 6484 6484
## MD_EARN_WNE_INC3_P11 MD_EARN_WNE_INDEP0_P11
## 6484 6484
## MD_EARN_WNE_INDEP1_P11 MD_EARN_WNE_MALE0_P11
## 6484 6484
## MD_EARN_WNE_MALE1_P11
## 6484What variables looked interesting?
- Institutional facts - OPEID, INSTNM, CITY, ZIP
- STABBR - STATE LOCATION OF INSTITUTION
- SCH_DEG - Predominant degree awarded
- FAMINC - Average family income of students
- LNFAMINC - Log of average family income of students
- ADM_RATE - Admission rate
- ADM_RATE_ALL - Admission rate for all campuses
- TUITFTE - Net tuition revenue per full-time student
- INEXPFTE - Instructional expenditures per full-time student
- AVGFACSAL - Average faculty salary
- PFTFAC - Proportion of faculty that is full-time
- PCTPELL - Percentage of students receiving Pell grants
- PCTFLOAN - Percentage of students receiving federal loans
- NPT4_PRIV - Average net price for Title IV institutions
- COSTT4_A - Average cost of attendance
- CCSIZSET - Carnegie Classification size and setting
- CONTROL - Control of institution
- CIP45BACHL - Number of bachelor’s degrees awarded in CIP 45
- POOLYRS - years used for Rolling average for copmletion rate
- CDR3 - 3-year cohort default rate
- ICLEVEL - Level of institution
- MENONLY - Male only university
- WOMENONLY - Women only university
- RELAFIL - Religious affiliation
- MD_EARN_WNE_P10 - Median earnings 10 years after entry
- GRAD_DEBT_MDN - Median debt of completers
- C150_4 - Completion rate for 150% of normal time
- RET_FT4 - Retention rate for full-time students
- UG25ABV - Percentage of undergraduates older than 25
- UGDS - Undergraduate enrollment
# Set CRAN mirror and Install kernlab, ggplot2, and dplyr packages
options(repos = c(CRAN = "https://cloud.r-project.org"))Creating the Data Subset from intial csv file
#Create a subset of schools data with the selected variables
library(readr)
schools <- read_csv("MERGED2022_23_PP.csv", na = c("NULL", "PrivacySuppressed", "NA"))
library(dplyr)
schools_sub1 <- schools %>% dplyr::select(OPEID, INSTNM, CITY, ZIP, STABBR, SCH_DEG, FAMINC, LNFAMINC, ADM_RATE, ADM_RATE_ALL, TUITFTE, INEXPFTE, AVGFACSAL, PFTFAC, PCTPELL, PCTFLOAN, NPT4_PRIV, COSTT4_A, CCSIZSET, CONTROL, CIP45BACHL, POOLYRS, CDR3, ICLEVEL, MENONLY, WOMENONLY, RELAFFIL, MD_EARN_WNE_P10, GRAD_DEBT_MDN, C150_4, RET_FT4, UG25ABV, UGDS)dim(schools_sub1)## [1] 6484 33Condensed “Name of Element” information for my subset of data
#Summarize columns
library(readr)
dictionary <- read_csv("CollegeScorecardDataDictionary.csv")
#filter the dictionary to only include the variables in the schools_sub1 data frame
library(dplyr)
#filter the dictionary to only include the variables in the schools_sub1 data frame, include name of data element as well
dictionary %>% filter(`VARIABLE NAME` %in% names(schools_sub1)) %>% select(`NAME OF DATA ELEMENT`)## # A tibble: 33 × 1
## `NAME OF DATA ELEMENT`
## <chr>
## 1 8-digit OPE ID for institution
## 2 Institution name
## 3 City
## 4 State postcode
## 5 ZIP code
## 6 Predominant degree awarded (recoded 0s and 4s)
## 7 Control of institution
## 8 Carnegie Classification -- size and setting
## 9 Flag for men-only college
## 10 Flag for women-only college
## # ℹ 23 more rows#format this table for better readability
install.packages("pander")## package 'pander' successfully unpacked and MD5 sums checked
##
## The downloaded binary packages are in
## C:\Users\andre\AppData\Local\Temp\RtmpMDDnLG\downloaded_packageslibrary(pander)
pander(dictionary %>% filter(`VARIABLE NAME` %in% names(schools_sub1)) %>% dplyr::select(`NAME OF DATA ELEMENT`))| NAME OF DATA ELEMENT |
|---|
| 8-digit OPE ID for institution |
| Institution name |
| City |
| State postcode |
| ZIP code |
| Predominant degree awarded (recoded 0s and 4s) |
| Control of institution |
| Carnegie Classification – size and setting |
| Flag for men-only college |
| Flag for women-only college |
| Religous affiliation of the institution |
| Admission rate |
| Admission rate for all campuses rolled up to the 6-digit OPE ID |
| Bachelor’s degree in Social Sciences. |
| Enrollment of undergraduate certificate/degree-seeking students |
| Average net price for Title IV institutions (private for-profit and nonprofit institutions) |
| Average cost of attendance (academic year institutions) |
| Net tuition revenue per full-time equivalent student |
| Instructional expenditures per full-time equivalent student |
| Average faculty salary |
| Proportion of faculty that is full-time |
| Percentage of undergraduates who receive a Pell Grant |
| Completion rate for first-time, full-time students at four-year institutions (150% of expected time to completion) |
| Years used for rolling averages of completion rate C150_[4/L4]_POOLED |
| First-time, full-time student retention rate at four-year institutions |
| Percent of all undergraduate students receiving a federal student loan |
| Percentage of undergraduates aged 25 and above |
| Three-year cohort default rate |
| The median debt for students who have completed |
| Average family income in real 2015 dollars |
| Average of the log of family income |
| Median earnings of students working and not enrolled 10 years after entry |
| Level of institution |
Shrinking data by Large Schools according to CCSIZSET
#Keep only the four-year universities according to CCSIZSET
schools_sub1 <- schools_sub1 %>% filter(schools$CCSIZSET %in% c(6,7,8,9,10,11,12,13,14,15,16,17,18))
dim(schools_sub1)## [1] 2585 33Data Table of my subset as an HTML object
Data Table for Missing Values by Variable
# Create the datatable with conditional formatting
datatable(missing_data, options = list(
dom = 't',
paging = FALSE,
searching = FALSE,
ordering = FALSE,
info = FALSE
), rownames = FALSE, caption = "Missing Values by Variable") %>%
formatStyle(
'percent_missing',
color = styleInterval(c(10, 50), c('green', 'black', 'red'))
) %>%
formatStyle(
'count_missing',
color = styleInterval(c(648, 3242), c('green', 'black', 'red'))
)Code for Categorizing Carnegie Classification, Faculty Type, and Region
#add a column to the schools_sub1 data frame that categorizes the CCSIZSET variable into Very Small, Small, Medium, and Large
schools_sub1 <- schools_sub1 %>% mutate(
size_category = case_when(
CCSIZSET %in% c(6, 7, 8) ~ "Very Small",
CCSIZSET %in% c(9, 10, 11) ~ "Small",
CCSIZSET %in% c(12, 13, 14) ~ "Medium",
CCSIZSET %in% c(15, 16, 17, 18) ~ "Large",
TRUE ~ "Unknown"
)
)
#add a column to the schools_sub1 data frame that reads "Full-Time" if the PFTFAC variable is greater than 0.5 and "Part-Time" if the PFTFAC variable is less than or equal to 0.5
schools_sub1 <- schools_sub1 %>% mutate(
faculty_type = case_when(
PFTFAC > 0.5 ~ "Full-Time",
PFTFAC <= 0.5 ~ "Part-Time",
TRUE ~ "Unknown"
)
)
#condense the STABBR category by geographic region (pacific, mountain, west north central, west south central, east north central, east south central, mid-atlantic, new england, south atlantic) and add this as a new column to the schools_sub1 data frame
schools_sub1 <- schools_sub1 %>% mutate(
region = case_when(
STABBR %in% c("WA", "OR", "CA", "NV", "AK", "HI") ~ "Pacific",
STABBR %in% c("ID", "MT", "WY", "CO", "UT", "AZ", "NM") ~ "Mountain",
STABBR %in% c("ND", "SD", "NE", "KS", "MN", "IA", "MO") ~ "West North Central",
STABBR %in% c("TX", "OK", "AR", "LA") ~ "West South Central",
STABBR %in% c("WI", "MI", "IL", "IN", "OH") ~ "East North Central",
STABBR %in% c("KY", "TN", "MS", "AL") ~ "East South Central",
STABBR %in% c("PA", "NY", "NJ") ~ "Mid-Atlantic",
STABBR %in% c("CT", "RI", "MA", "VT", "NH", "ME") ~ "New England",
STABBR %in% c("WV", "VA", "NC", "SC", "GA", "FL") ~ "South Atlantic",
TRUE ~ "Unknown"
)
)Code for converting variables to factors
Describing Region variable
install.packages("psych")## package 'psych' successfully unpacked and MD5 sums checked
##
## The downloaded binary packages are in
## C:\Users\andre\AppData\Local\Temp\RtmpMDDnLG\downloaded_packageslibrary(psych)
#describe the summary statistics of the schools_sub1 data frame
describe(schools_sub1)## vars n mean sd median trimmed mad min
## OPEID* 1 2582 1278.78 739.09 1278.50 1278.16 948.12 1
## INSTNM* 2 2585 1282.33 741.25 1283.00 1282.25 951.83 1
## CITY* 3 2585 613.81 361.02 627.00 612.14 478.88 1
## ZIP* 4 2585 1221.11 713.86 1217.00 1220.24 922.18 1
## STABBR* 5 2585 30.03 16.37 32.00 30.18 19.27 1
## SCH_DEG* 6 0 NaN NA NA NaN NA Inf
## FAMINC 7 0 NaN NA NA NaN NA Inf
## LNFAMINC 8 0 NaN NA NA NaN NA Inf
## ADM_RATE 9 1670 0.71 0.22 0.76 0.74 0.19 0
## ADM_RATE_ALL 10 1727 0.71 0.22 0.76 0.74 0.19 0
## TUITFTE 11 2578 14260.75 9602.38 12565.50 13105.69 7954.15 0
## INEXPFTE 12 2578 12693.79 18525.11 9376.00 10121.55 5149.07 0
## AVGFACSAL 13 2487 7936.58 2886.39 7632.00 7772.62 2333.61 0
## PFTFAC 14 2334 0.63 0.28 0.64 0.64 0.36 0
## PCTPELL 15 2306 0.37 0.19 0.35 0.36 0.17 0
## PCTFLOAN 16 2306 0.44 0.24 0.46 0.45 0.26 0
## NPT4_PRIV 17 1429 22909.07 9130.88 22428.00 22704.64 7931.91 1100
## COSTT4_A 18 2110 35812.01 18281.89 30369.50 33998.80 17431.67 5705
## CCSIZSET* 19 2585 6.18 3.84 6.00 5.97 4.45 1
## CONTROL* 20 2585 1.82 0.60 2.00 1.77 0.00 1
## CIP45BACHL* 21 2582 1.56 0.60 2.00 1.51 1.48 1
## POOLYRS 22 2189 2.18 0.57 2.00 2.00 0.00 2
## CDR3 23 2396 0.00 0.01 0.00 0.00 0.00 0
## ICLEVEL* 24 2585 1.01 0.10 1.00 1.00 0.00 1
## MENONLY* 25 2585 1.02 0.14 1.00 1.00 0.00 1
## WOMENONLY* 26 2585 1.01 0.11 1.00 1.00 0.00 1
## RELAFFIL* 27 832 24.49 16.35 24.00 23.53 22.24 1
## MD_EARN_WNE_P10 28 0 NaN NA NA NaN NA Inf
## GRAD_DEBT_MDN 29 0 NaN NA NA NaN NA Inf
## C150_4 30 2149 0.53 0.22 0.53 0.53 0.22 0
## RET_FT4 31 1989 0.73 0.17 0.74 0.74 0.13 0
## UG25ABV 32 0 NaN NA NA NaN NA Inf
## UGDS 33 2329 4136.53 8010.69 1419.00 2300.69 1739.09 0
## size_category* 34 2585 2.68 1.13 3.00 2.72 1.48 1
## faculty_type* 35 2585 1.51 0.67 1.00 1.39 0.00 1
## region* 36 2585 5.32 2.88 6.00 5.29 4.45 1
## max range skew kurtosis se
## OPEID* 2562.00 2561.00 0.00 -1.20 14.55
## INSTNM* 2565.00 2564.00 0.00 -1.20 14.58
## CITY* 1261.00 1260.00 -0.01 -1.21 7.10
## ZIP* 2453.00 2452.00 0.01 -1.22 14.04
## STABBR* 58.00 57.00 -0.15 -1.30 0.32
## SCH_DEG* -Inf -Inf NA NA NA
## FAMINC -Inf -Inf NA NA NA
## LNFAMINC -Inf -Inf NA NA NA
## ADM_RATE 1.00 1.00 -1.08 0.72 0.01
## ADM_RATE_ALL 1.00 1.00 -1.05 0.64 0.01
## TUITFTE 76010.00 76010.00 1.42 3.18 189.12
## INEXPFTE 634215.00 634215.00 17.28 508.54 364.85
## AVGFACSAL 22833.00 22833.00 0.91 2.63 57.88
## PFTFAC 1.00 1.00 -0.23 -1.04 0.01
## PCTPELL 1.00 1.00 0.69 0.33 0.00
## PCTFLOAN 1.00 1.00 -0.24 -0.81 0.01
## NPT4_PRIV 56457.00 55357.00 0.31 0.40 241.54
## COSTT4_A 86964.00 81259.00 0.76 -0.30 398.00
## CCSIZSET* 13.00 12.00 0.33 -0.99 0.08
## CONTROL* 3.00 2.00 0.10 -0.44 0.01
## CIP45BACHL* 3.00 2.00 0.54 -0.63 0.01
## POOLYRS 4.00 2.00 2.89 6.37 0.01
## CDR3 0.33 0.33 11.77 198.30 0.00
## ICLEVEL* 3.00 2.00 11.66 148.16 0.00
## MENONLY* 2.00 1.00 6.76 43.76 0.00
## WOMENONLY* 2.00 1.00 9.11 81.11 0.00
## RELAFFIL* 62.00 61.00 0.18 -1.17 0.57
## MD_EARN_WNE_P10 -Inf -Inf NA NA NA
## GRAD_DEBT_MDN -Inf -Inf NA NA NA
## C150_4 1.00 1.00 -0.13 -0.31 0.00
## RET_FT4 1.00 1.00 -1.38 3.67 0.00
## UG25ABV -Inf -Inf NA NA NA
## UGDS 138138.00 138138.00 5.64 57.67 165.99
## size_category* 4.00 3.00 -0.27 -1.33 0.02
## faculty_type* 3.00 2.00 0.96 -0.26 0.01
## region* 10.00 9.00 -0.01 -1.19 0.06Removing Variables wiht 100% Missing values
library(dplyr)
# Remove variables SCH_DEG, FAMINC LNFAMINC, MD_EARN_WNE_P10, GRAD_DEBT_MDN UG25ABV from school_sub1 dataframe
schools_sub1 <- schools_sub1 %>% dplyr::select(-UG25ABV)Data Subset Description after removing variables
describe(schools_sub1)## vars n mean sd median trimmed mad min
## OPEID* 1 2582 1278.78 739.09 1278.50 1278.16 948.12 1
## INSTNM* 2 2585 1282.33 741.25 1283.00 1282.25 951.83 1
## CITY* 3 2585 613.81 361.02 627.00 612.14 478.88 1
## ZIP* 4 2585 1221.11 713.86 1217.00 1220.24 922.18 1
## STABBR* 5 2585 30.03 16.37 32.00 30.18 19.27 1
## SCH_DEG* 6 0 NaN NA NA NaN NA Inf
## FAMINC 7 0 NaN NA NA NaN NA Inf
## LNFAMINC 8 0 NaN NA NA NaN NA Inf
## ADM_RATE 9 1670 0.71 0.22 0.76 0.74 0.19 0
## ADM_RATE_ALL 10 1727 0.71 0.22 0.76 0.74 0.19 0
## TUITFTE 11 2578 14260.75 9602.38 12565.50 13105.69 7954.15 0
## INEXPFTE 12 2578 12693.79 18525.11 9376.00 10121.55 5149.07 0
## AVGFACSAL 13 2487 7936.58 2886.39 7632.00 7772.62 2333.61 0
## PFTFAC 14 2334 0.63 0.28 0.64 0.64 0.36 0
## PCTPELL 15 2306 0.37 0.19 0.35 0.36 0.17 0
## PCTFLOAN 16 2306 0.44 0.24 0.46 0.45 0.26 0
## NPT4_PRIV 17 1429 22909.07 9130.88 22428.00 22704.64 7931.91 1100
## COSTT4_A 18 2110 35812.01 18281.89 30369.50 33998.80 17431.67 5705
## CCSIZSET* 19 2585 6.18 3.84 6.00 5.97 4.45 1
## CONTROL* 20 2585 1.82 0.60 2.00 1.77 0.00 1
## CIP45BACHL* 21 2582 1.56 0.60 2.00 1.51 1.48 1
## POOLYRS 22 2189 2.18 0.57 2.00 2.00 0.00 2
## CDR3 23 2396 0.00 0.01 0.00 0.00 0.00 0
## ICLEVEL* 24 2585 1.01 0.10 1.00 1.00 0.00 1
## MENONLY* 25 2585 1.02 0.14 1.00 1.00 0.00 1
## WOMENONLY* 26 2585 1.01 0.11 1.00 1.00 0.00 1
## RELAFFIL* 27 832 24.49 16.35 24.00 23.53 22.24 1
## MD_EARN_WNE_P10 28 0 NaN NA NA NaN NA Inf
## GRAD_DEBT_MDN 29 0 NaN NA NA NaN NA Inf
## C150_4 30 2149 0.53 0.22 0.53 0.53 0.22 0
## RET_FT4 31 1989 0.73 0.17 0.74 0.74 0.13 0
## UGDS 32 2329 4136.53 8010.69 1419.00 2300.69 1739.09 0
## size_category* 33 2585 2.68 1.13 3.00 2.72 1.48 1
## faculty_type* 34 2585 1.51 0.67 1.00 1.39 0.00 1
## region* 35 2585 5.32 2.88 6.00 5.29 4.45 1
## max range skew kurtosis se
## OPEID* 2562.00 2561.00 0.00 -1.20 14.55
## INSTNM* 2565.00 2564.00 0.00 -1.20 14.58
## CITY* 1261.00 1260.00 -0.01 -1.21 7.10
## ZIP* 2453.00 2452.00 0.01 -1.22 14.04
## STABBR* 58.00 57.00 -0.15 -1.30 0.32
## SCH_DEG* -Inf -Inf NA NA NA
## FAMINC -Inf -Inf NA NA NA
## LNFAMINC -Inf -Inf NA NA NA
## ADM_RATE 1.00 1.00 -1.08 0.72 0.01
## ADM_RATE_ALL 1.00 1.00 -1.05 0.64 0.01
## TUITFTE 76010.00 76010.00 1.42 3.18 189.12
## INEXPFTE 634215.00 634215.00 17.28 508.54 364.85
## AVGFACSAL 22833.00 22833.00 0.91 2.63 57.88
## PFTFAC 1.00 1.00 -0.23 -1.04 0.01
## PCTPELL 1.00 1.00 0.69 0.33 0.00
## PCTFLOAN 1.00 1.00 -0.24 -0.81 0.01
## NPT4_PRIV 56457.00 55357.00 0.31 0.40 241.54
## COSTT4_A 86964.00 81259.00 0.76 -0.30 398.00
## CCSIZSET* 13.00 12.00 0.33 -0.99 0.08
## CONTROL* 3.00 2.00 0.10 -0.44 0.01
## CIP45BACHL* 3.00 2.00 0.54 -0.63 0.01
## POOLYRS 4.00 2.00 2.89 6.37 0.01
## CDR3 0.33 0.33 11.77 198.30 0.00
## ICLEVEL* 3.00 2.00 11.66 148.16 0.00
## MENONLY* 2.00 1.00 6.76 43.76 0.00
## WOMENONLY* 2.00 1.00 9.11 81.11 0.00
## RELAFFIL* 62.00 61.00 0.18 -1.17 0.57
## MD_EARN_WNE_P10 -Inf -Inf NA NA NA
## GRAD_DEBT_MDN -Inf -Inf NA NA NA
## C150_4 1.00 1.00 -0.13 -0.31 0.00
## RET_FT4 1.00 1.00 -1.38 3.67 0.00
## UGDS 138138.00 138138.00 5.64 57.67 165.99
## size_category* 4.00 3.00 -0.27 -1.33 0.02
## faculty_type* 3.00 2.00 0.96 -0.26 0.01
## region* 10.00 9.00 -0.01 -1.19 0.06IQR for my numerical variables
library(dplyr)
#create a new data frame with only the numeric variables from the schools_sub1 data frame
numeric_vars <- schools_sub1 %>% select(where(is.numeric))
dim(numeric_vars)## [1] 2585 15#filter the numeric_vars dataframe to exclude missing values
numeric_vars <- numeric_vars %>% filter(complete.cases(.))
#compute the IQR for the numeric variables
iqr <- apply(numeric_vars, 2, IQR)
#Create a 3 column table data showing the 25, 50, 75 percentiles for each numeric variable
percentiles <- data.frame(
variable = names(numeric_vars),
Q1 = apply(numeric_vars, 2, quantile, probs = 0.25),
Q2 = apply(numeric_vars, 2, quantile, probs = 0.50),
Q3 = apply(numeric_vars, 2, quantile, probs = 0.75)
)
# Instead of showing the Variable, show the name of the data element
percentiles <- percentiles %>% left_join(dictionary, by = c("variable" = "VARIABLE NAME")) %>% select(`NAME OF DATA ELEMENT`, Q1, Q2, Q3)# Create the datatable with conditional formatting and round the values to 2 decimal places
library(DT)
datatable(percentiles, options = list(
dom = 't',
paging = FALSE,
searching = FALSE,
ordering = FALSE,
info = FALSE
), rownames = FALSE) %>%
formatRound(c(2, 3, 4), 2)Data Table for count of High and Low Low Outliers
# Create the datatable with conditional formatting
cuts <- c(100, 400)
colors <- c("black", "orange", "red")
datatable(outliers, options = list(
dom = 't',
paging = FALSE,
searching = FALSE,
ordering = TRUE,
order = list(list(1, 'desc'), list(2, 'desc')),
info = FALSE,
headerCallback = JS(
"function(thead, data, start, end, display){",
" $(thead).css({'background-color': 'grey', 'color': 'white', 'font-size': '16px'});",
"}"
)
), rownames = FALSE) %>%
formatStyle(
'high_outliers',
color = styleInterval(cuts, colors)
) %>%
formatStyle(
'low_outliers',
color = styleInterval(cuts, colors)
) Code for Plots
#create an enhanced distribution plot for the AVGFACSAL by school size category
library(ggplot2)
p1 <- ggplot(schools_sub1, aes(x = AVGFACSAL, fill = size_category)) +
geom_density(alpha = 0.5) +
labs(title = "Average Faculty Salary by School Size Category",
x = "Average Faculty Salary",
y = "Density") +
theme_minimal() +
theme(plot.title = element_text(size = 20),axis.title.x = element_text(size = 18),
axis.title.y = element_text(size = 18))
#create an bar plot for the AVGFACSAL by region
library(ggplot2)
p2 <- ggplot(schools_sub1, aes(x = region, y = AVGFACSAL, fill = region)) +
geom_bar(stat = "summary", fun = "mean") +
labs(title = "Average Faculty Salary by Region",
x = "Region",
y = "Average Faculty Salary") +
theme_minimal() +
theme(axis.text.x = element_blank(),axis.title.x = element_text(size = 18),
axis.title.y = element_text(size = 18),plot.title = element_text(size = 20))
#create enhanced distribution plot for the average admission rate by school size category
p3 <- ggplot(schools_sub1, aes(x = ADM_RATE, fill = size_category)) +
geom_density(alpha = 0.5) +
labs(title = "Average Admission Rate by School Size",
x = "Average Admission Rate",
y = "Density") +
theme_minimal() +
theme(plot.title = element_text(size = 20), axis.title.x = element_text(size = 18), axis.title.y = element_text(size = 18))
#create bar plot of the average admission rate by region
p4 <- ggplot(schools_sub1, aes(x = region, y = ADM_RATE, fill = region)) +
geom_bar(stat = "summary", fun = "mean") +
labs(title = "Average Admission Rate by Region",
x = "Region",
y = "Average Admission Rate") +
theme_minimal() +
theme(axis.text.x = element_blank(),plot.title = element_text(size = 20),axis.title.x = element_text(size = 18), axis.title.y = element_text(size = 18))
#create an enhanced distribution plot for the CDR3 by school size category
library(ggplot2)
p5 <- ggplot(schools_sub1, aes(x = CDR3, fill = size_category)) +
geom_density(alpha = 0.5) +
labs(title = "Average Default Rate by 3Yr Cohort by Size Category",
x = "Average default Rate",
y = "Density") +
theme_minimal() +
theme(plot.title = element_text(size = 20),axis.title.x = element_text(size = 18),
axis.title.y = element_text(size = 18))+ xlim(0, 0.1) +
ylim(0, 100)
#create an bar plot for the CDR3 by region
library(ggplot2)
p6 <- ggplot(schools_sub1, aes(x = region, y = CDR3, fill = region)) +
geom_bar(stat = "summary", fun = "mean") +
labs(title = "Average Default rate of 3Yr cohort by Region",
x = "Region",
y = "Average Default rate of 3Yr cohort") +
theme_minimal() +
theme(axis.text.x = element_blank(),axis.title.x = element_text(size = 18),
axis.title.y = element_text(size = 18),plot.title = element_text(size = 20))
# create a bar plot for the average faculty salary by menonly and womenonly
library(ggplot2)
p7 <- ggplot(schools_sub1, aes(x = MENONLY, y = AVGFACSAL, fill = MENONLY)) +
geom_bar(stat = "summary", fun = "mean") +
labs(title = "Average Faculty Salary: Male only vs Co-Ed Universities",
x = "MENONLY",
y = "Average Faculty Salary") +
theme_minimal() +
theme(axis.text.x = element_blank(),axis.title.x = element_text(size = 18),
axis.title.y = element_text(size = 18),plot.title = element_text(size = 16))
# create a bar plot for the admissions rate by menonly
library(ggplot2)
p8 <- ggplot(schools_sub1, aes(x = MENONLY, y = ADM_RATE, fill = MENONLY)) +
geom_bar(stat = "summary", fun = "mean") +
labs(title = "Average Admissions Rate: Male only vs Co-Ed Universities",
x = "MENONLY",
y = "Admissions Rate") +
theme_minimal() +
theme(axis.text.x = element_blank(),axis.title.x = element_text(size = 18),
axis.title.y = element_text(size = 18),plot.title = element_text(size = 16))
# create a bar plot for the Cohort Default rate by menonly
library(ggplot2)
p9 <- ggplot(schools_sub1, aes(x = MENONLY, y = CDR3, fill = MENONLY)) +
geom_bar(stat = "summary", fun = "mean") +
labs(title = "Average Cohort Default Rate: Male only vs Co-Ed Universities",
x = "MENONLY",
y = "Cohort Default Rate") +
theme_minimal() +
theme(axis.text.x = element_blank(),axis.title.x = element_text(size = 18),
axis.title.y = element_text(size = 18),plot.title = element_text(size = 16)) Average Faculty Salary by School Size Category and Region
# Arrange the plots in a 2x2 grid
library(gridExtra)
gridExtra::grid.arrange(p1, p2, ncol = 2)
# Arrange the plots in a 2x2 grid
library(gridExtra)
gridExtra::grid.arrange(p3, p4, ncol = 2)
#[A 3 Year Cohort Default Rate by School Size and Region] {style=“font-weight: bold; color: blue;”}
# Arrange the plots in a 2x2 grid
library(gridExtra)
gridExtra::grid.arrange(p5, p6, ncol = 2)
# Arrange the plots in a 2x2 grid
library(gridExtra)
gridExtra::grid.arrange(p7, p8, p9, ncol = 3)
Geographic Visual of MENONLY and Co-Ed schools across the US
# create a geographical visual showing the concentration of MENONLY Schools by region. only show the states where MENONLY =1
install.packages("maps")## package 'maps' successfully unpacked and MD5 sums checked
##
## The downloaded binary packages are in
## C:\Users\andre\AppData\Local\Temp\RtmpMDDnLG\downloaded_packagesinstall.packages("mapdata")## package 'mapdata' successfully unpacked and MD5 sums checked
##
## The downloaded binary packages are in
## C:\Users\andre\AppData\Local\Temp\RtmpMDDnLG\downloaded_packagesinstall.packages("mapproj")## package 'mapproj' successfully unpacked and MD5 sums checked
##
## The downloaded binary packages are in
## C:\Users\andre\AppData\Local\Temp\RtmpMDDnLG\downloaded_packageslibrary(ggplot2)
library(maps)
library(mapdata)
library(dplyr)
library(mapproj)
us <- map_data("state")
# Filter the dataset to include only states where MENONLY equals 1 and count the number of MENONLY schools per state
menonly_schools <- schools_sub1 %>%
filter(MENONLY == 1) %>%
group_by(STABBR) %>%
summarise(count_men = n())
# Filter the dataset to create a count of WOMENONLY schools using MENONLY == 0
coed_schools <- schools_sub1 %>%
filter(MENONLY == 0) %>%
group_by(STABBR) %>%
summarise(count_coed = n())
# Merge the MENONLY and WOMENONLY counts
library(dplyr)
library(tidyr)
school_counts <- menonly_schools %>%
full_join(coed_schools, by = "STABBR") %>%
replace_na(list(count_men = 0, count_coed = 0))
# Convert state abbreviations to lowercase state names
abbr_to_state <- function(abbr) {
state_names <- tolower(state.name)
state_abbr <- state.abb
state_names[match(abbr, state_abbr)]
}
school_counts <- school_counts %>%
mutate(region = abbr_to_state(STABBR))
# Merge the map data with the school count data
merged_data <- us %>%
left_join(school_counts, by = c("region" = "region"))
# Summarize the coordinates for text labels
centroids <- merged_data %>%
group_by(region) %>%
summarise(long = mean(long), lat = mean(lat), count_men = mean(count_men, na.rm = TRUE), count_coed = mean(count_coed, na.rm = TRUE))# Create a geographical visual showing the count of schools by state
library(ggplot2)
p11 <- ggplot() +
geom_polygon(data = us, aes(x = long, y = lat, group = group), fill = "white", color = "black") +
geom_polygon(data = merged_data, aes(x = long, y = lat, group = group), fill = NA, color = "black") +
geom_text(data = centroids, aes(x = long, y = lat, label = count_men), color = "green", size = 3, vjust = -1) +
geom_text(data = centroids, aes(x = long, y = lat, label = count_coed), color = "black", size = 3, vjust = 1) +
scale_color_manual(name = "School Type", values = c("MENONLY" = "green", "Co-Ed" = "black")) +
labs(title = "Count of MENONLY (Green) and Co-ed (Black) Schools by State") +
theme_minimal() +
theme(plot.title = element_text(size = 16),
legend.position = "bottom",
axis.text.x = element_blank(),
axis.text.y = element_blank(),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
axis.ticks.x = element_blank(),
axis.ticks.y = element_blank(),
panel.grid = element_blank(),
panel.border = element_blank()) +
coord_map()
# Print the plot
print(p11)
Net Tuition Revenue Plots by Region and Segregated Schools
# filter schools_sub1 to only include womenonly == 1, TUITFTE, and region
womenonly <- schools_sub1 %>%
filter(WOMENONLY == 1) %>%
select(TUITFTE, region)
head(womenonly)## # A tibble: 6 × 2
## TUITFTE region
## <dbl> <chr>
## 1 20866 Pacific
## 2 39220 Pacific
## 3 13944 Unknown
## 4 14874 South Atlantic
## 5 18874 South Atlantic
## 6 17670 South Atlantic#Create a barplot of the net tuition revenue by region
p12 <- ggplot(womenonly, aes(x = region, y = TUITFTE, fill = region)) +
geom_bar(stat = "summary", fun = "mean") +
labs(title = "Women Only schools: Net Tuition Revenue by Region") +
theme_minimal() +
theme(axis.text.x = element_blank(),axis.title.x = element_text(size = 18),
axis.title.y = element_text(size = 18),plot.title = element_text(size = 20))
# filter schools_sub1 to only include womenonly == 1, TUITFTE, and region
menonly <- schools_sub1 %>%
filter(MENONLY == 1) %>%
select(TUITFTE, region)
head(menonly)## # A tibble: 6 × 2
## TUITFTE region
## <dbl> <chr>
## 1 20175 Pacific
## 2 63451 South Atlantic
## 3 6844 South Atlantic
## 4 26543 South Atlantic
## 5 26150 East North Central
## 6 12648 East North Central#Create a barplot of the net tuition revenue by region
p13 <- ggplot(menonly, aes(x = region, y = TUITFTE, fill = region)) +
geom_bar(stat = "summary", fun = "mean") +
labs(title = "MenOnly schools: Net Tuition Revenue by Region") +
theme_minimal() +
theme(axis.text.x = element_blank(),axis.title.x = element_text(size = 18),
axis.title.y = element_text(size = 18),plot.title = element_text(size = 20))
# Create a small 2 column table showing the average net tuition revenue for menonly and womenonly schools
tuition <- data.frame(
menonly = mean(menonly$TUITFTE, na.rm = TRUE),
womenonly = mean(womenonly$TUITFTE, na.rm = TRUE)
)
print(tuition)## menonly womenonly
## 1 13250.43 18678.4mean(menonly$TUITFTE, na.rm = TRUE)## [1] 13250.43mean(womenonly$TUITFTE, na.rm = TRUE)## [1] 18678.4#Combine the plots of p12 and p13 so that TUITFTE is still on y axis and Region is on X axis, but there are dual bars for each region, one for menonly and one for womenonly
#adjust the x axis label to be slanted 45 degrees for readability
#add the mean tuition revenue for menonly and womenonly as a small text box below the x axis label
p14 <- ggplot() +
geom_bar(data = menonly, aes(x = region, y = TUITFTE, fill = "MenOnly"), stat = "summary", fun = "mean", position = "dodge") +
geom_bar(data = womenonly, aes(x = region, y = TUITFTE, fill = "WomenOnly"), stat = "summary", fun = "mean", position = "dodge") +
labs(title = "Net Tuition Revenue by Region for MenOnly and WomenOnly Schools",
x = "Region",
y = "Net Tuition Revenue") +
theme_minimal() +
theme(plot.title = element_text(size = 14),axis.title.x = element_text(size = 14),
axis.title.y = element_text(size = 14)) +
scale_fill_manual(values = c("MenOnly" = "blue", "WomenOnly" = "pink")) +
theme(axis.text.x = element_text(angle = 45, hjust = 1)) +
theme(legend.position = "top") +
theme(legend.title = element_blank()) +
theme(legend.text = element_text(size = 12)) +
theme(legend.key.size = unit(0.5, "cm")) +
annotate("text", x = 2, y = 10000 , label = paste("Avg MenOnly: $13.2K"), size = 3) +
annotate("text", x = 2, y = 7000, label = paste("WomenOnly: $18.6K"), size = 3) +
theme(axis.text.x = element_text(size = 12),
axis.text.y = element_text(size = 12))
#Create a barplot of the average cost of attendance by region
cost <- schools_sub1 %>%
group_by(region) %>%
summarise(mean_cost = mean(COSTT4_A, na.rm = TRUE))
p15 <- ggplot(cost, aes(x = region, y = mean_cost, fill = region)) +
geom_bar(stat = "identity") +
labs(title = "Average Cost of Attendance by Region",
x = "Region",
y = "Average Cost of Attendance") +
theme_minimal() +
theme(axis.text.x = element_text(angle = 45, hjust = 1),axis.title.x = element_text(size = 18),
axis.title.y = element_text(size = 18),plot.title = element_text(size = 20))#print plots 12, 13, 14, and 15
print(p15)
print(p12)
print(p13)
print(p14)
Cohort Default Rate Plot
# Create a categorical variable that is "high default rate" if CDR3 > .05 and "low default rate" if CDR3 <= .05
schools_sub1 <- schools_sub1 %>% mutate(
default_rate = case_when(
CDR3 > 0.05 ~ "High Default Rate",
CDR3 <= 0.05 ~ "Low Default Rate",
TRUE ~ "Unknown"
)
)
#plot a distribution of POOLYRS
p16 <- ggplot(schools_sub1, aes(x = POOLYRS, fill = default_rate)) +
geom_density(alpha = 0.5) +
labs(title = "Distribution of Pool Years by Default Rate",
x = "Pool Years",
y = "Density") +
theme_minimal() +
theme(plot.title = element_text(size = 20),axis.title.x = element_text(size = 18),
axis.title.y = element_text(size = 18))print(p16)
#Create a variable that is 1 if the C150_4 is between .66 and 1, 2 if C150_4 is between .33 and .66, and 3 if C150_4 is between 0 and .33
schools_sub1 <- schools_sub1 %>% mutate(
completion_rate_rank = case_when(
C150_4 > 0.66 ~ "1",
C150_4 > 0.33 & C150_4 <= 0.66 ~ "2",
C150_4 <= 0.33 ~ "3",
TRUE ~ "Unknown"
)
)Completion Rate Plot
#Create a a barplot of the average CDR3 by region
cdr3 <- schools_sub1 %>%
group_by(region) %>%
summarise(mean_cdr3 = mean(CDR3, na.rm = TRUE)) %>%
arrange(desc(mean_cdr3))
p17 <- ggplot(cdr3, aes(x = region, y = mean_cdr3, fill = region)) +
geom_bar(stat = "identity") +
labs(title = "Average Default Rate by Region",
x = "Region",
y = "Average Default Rate") +
theme_minimal() +
theme(axis.text.x = element_text(angle = 45, hjust = 1),axis.title.x = element_text(size = 18),
axis.title.y = element_text(size = 18),plot.title = element_text(size = 20))print(p17)
Correlations
#Create a corplot for all the numeric variables in the schools_sub1 data frame
correlation_matrix <- cor(numeric_vars, use = "pairwise.complete.obs")
# Create a heatmap for all the numeric variables, and build in a functionality that will show the correlation value when a user drags their cursor over the heatmap
library(ggplot2)
library(reshape2)
library(plotly)
correlation_matrix_melted <- melt(correlation_matrix)
p <- ggplot(correlation_matrix_melted, aes(Var1, Var2, fill = value)) +
geom_tile(color = "white") +
scale_fill_gradient2(low = "blue", high = "red", mid = "white", midpoint = 0) +
theme_minimal() +
theme(axis.text.x = element_text(angle = 45, hjust = 1)) +
labs(title = "Schools Subset: Correlations of all Numeric Features ",
x = "Variable 1",
y = "Variable 2") +
theme(axis.text.x = element_text(angle = 45, hjust = 1)) +
theme(legend.position = "none")# Only show the correlation values when the user hovers over the heatmap in the knitted HTML document
ggplotly(p, tooltip = "fill")Scatterplot Matrix of Select Variables
library(dplyr)
select_vars <- schools_sub1 %>% dplyr:: select(AVGFACSAL, PFTFAC, PCTPELL, PCTFLOAN, NPT4_PRIV, COSTT4_A, CDR3, C150_4)
# Custom function to color correlations
cor_func <- function(data, mapping, ...) {
x <- eval_data_col(data, mapping$x)
y <- eval_data_col(data, mapping$y)
corr <- cor(x, y, use = "complete.obs")
col <- ifelse(corr > 0.3, "red", ifelse(corr < -0.3, "blue", "black"))
ggally_cor(data = data, mapping = mapping, size = 3, ...) +
theme(panel.border = element_rect(color = col, size = 2))
}# Create the scatterplot matrix with custom correlation coloring
install.packages("ggplot2")
install.packages("GGally")## package 'GGally' successfully unpacked and MD5 sums checked
##
## The downloaded binary packages are in
## C:\Users\andre\AppData\Local\Temp\RtmpMDDnLG\downloaded_packageslibrary(GGally)
ggpairs(select_vars, title = "Scatterplot Matrix of Select Variables",
upper = list(continuous = cor_func),
lower = list(continuous = wrap("points", alpha = 0.6)),
diag = list(continuous = wrap("densityDiag")))
Second gg pairs plot
library(dplyr)
select_vars <- schools_sub1 %>% dplyr:: select(AVGFACSAL, PFTFAC, COSTT4_A, CDR3, C150_4, POOLYRS, TUITFTE, INEXPFTE)
# Custom function to color correlations
cor_func <- function(data, mapping, ...) {
x <- eval_data_col(data, mapping$x)
y <- eval_data_col(data, mapping$y)
corr <- cor(x, y, use = "complete.obs")
col <- ifelse(corr > 0.3, "red", ifelse(corr < -0.3, "blue", "black"))
ggally_cor(data = data, mapping = mapping, size = 3, ...) +
theme(panel.border = element_rect(color = col, size = 2))
}# Create the scatterplot matrix with custom correlation coloring
install.packages("ggplot2")
install.packages("GGally")
library(GGally)
ggpairs(select_vars, title = "Scatterplot Matrix of Select Variables",
upper = list(continuous = cor_func),
lower = list(continuous = wrap("points", alpha = 0.6)),
diag = list(continuous = wrap("densityDiag")))
Correlation Matrix for CDR3
library(dplyr)
library(ggplot2)
# Compute the correlation matrix
numeric_vars <- schools_sub1 %>% select_if(is.numeric)
correlation_matrix <- cor(numeric_vars, use = "pairwise.complete.obs")
# Convert the correlation matrix to a data frame and rank the correlations with CDR3
correlation_matrix_df <- as.data.frame(correlation_matrix) %>%
mutate(variable = rownames(.)) %>%
select(variable, CDR3) %>%
arrange(desc(abs(CDR3))) %>%
filter(variable != "CDR3") %>%
mutate(rank = row_number()) %>%
head(10) %>%
arrange(rank)# Add the correlation value to the data frame
correlation_matrix_df <- correlation_matrix_df %>%
mutate(correlation = sapply(variable, function(v) cor(numeric_vars$CDR3, numeric_vars[[v]], use = "pairwise.complete.obs"))) %>%
arrange(rank) %>%
select(variable, rank, correlation) %>%
mutate(correlation = round(correlation, 2))
print(correlation_matrix_df)## variable rank correlation
## POOLYRS POOLYRS 1 0.19
## AVGFACSAL AVGFACSAL 2 -0.17
## NPT4_PRIV NPT4_PRIV 3 -0.16
## PCTFLOAN PCTFLOAN 4 -0.12
## COSTT4_A COSTT4_A 5 -0.10
## C150_4 C150_4 6 -0.07
## TUITFTE TUITFTE 7 -0.06
## UGDS UGDS 8 -0.06
## RET_FT4 RET_FT4 9 -0.05
## PCTPELL PCTPELL 10 0.03# Create a bar plot of the top 10 correlations with CDR3
p18 <- ggplot(correlation_matrix_df, aes(x = reorder(variable, -correlation), y = correlation, fill = variable)) +
geom_bar(stat = "identity") +
labs(title = "Top 10 Correlations with Default Rate",
x = "Variable",
y = "Correlation with Default Rate") +
theme_minimal() +
theme(axis.text.x = element_text(angle = 45, hjust = 1),
axis.title.x = element_text(size = 18),
axis.title.y = element_text(size = 18),
plot.title = element_text(size = 20))
print(p18)
Completion Rate by School Size Category
# plot a line chart of COSTT4_A and CDR3 for the East South Central and New England regions only
library(ggplot2)
# Filter the data to include only the East South Central and New England regions
cost_cdr3 <- schools_sub1 %>%
filter(region %in% c("East South Central", "New England")) %>%
select(COSTT4_A, CDR3, region)
# Create a line chart of COSTT4_A and CDR3 for the East South Central and New England regions
p19 <- ggplot(cost_cdr3, aes(x = COSTT4_A, y = CDR3, color = region)) +
geom_point() +
geom_smooth(method = "lm", se = FALSE) +
labs(title = "Cost of Attendance vs Default Rate by Region",
x = "Cost of Attendance",
y = "Default Rate") +
theme_minimal() +
theme(plot.title = element_text(size = 18),
axis.title.x = element_text(size = 18),
axis.title.y = element_text(size = 18))
print(p19)
Distribution of Admission Rate by Default Rate and Average Faculty Salary by Default Rate
#Plot the distribution of admissions rate by default rate
p20 <- ggplot(schools_sub1, aes(x = ADM_RATE, fill = default_rate)) +
geom_density(alpha = 0.5) +
labs(title = "Dist of Admission Rate by Default Rate",
x = "Admission Rate",
y = "Density") +
theme_minimal() +
theme(plot.title = element_text(size = 14),axis.title.x = element_text(size = 18),
axis.title.y = element_text(size = 18))
print(p20)
#Plot the Average faculty salary by default rate
p21 <- ggplot(schools_sub1, aes(x = AVGFACSAL, fill = default_rate)) +
geom_density(alpha = 0.5) +
labs(title = "Dist of Average Faculty Salary by Default Rate",
x = "Average Faculty Salary",
y = "Density") +
theme_minimal() +
theme(plot.title = element_text(size = 14),axis.title.x = element_text(size = 18),
axis.title.y = element_text(size = 18))
print(p21)
Top 10 Correaltions for Completion Rate
#create a plot of the top 10 correlated variables in the schools_sub1 data fram with C150_4
library(dplyr)
library(ggplot2)
# Compute the correlation matrix
numeric_vars <- schools_sub1 %>% select_if(is.numeric)
correlation_matrix <- cor(numeric_vars, use = "pairwise.complete.obs")
# Convert the correlation matrix to a data frame and rank the correlations with C150_4
correlation_matrix_df <- as.data.frame(correlation_matrix) %>%
mutate(variable = rownames(.)) %>%
select(variable, C150_4) %>%
arrange(desc(abs(C150_4))) %>%
filter(variable != "C150_4") %>%
mutate(rank = row_number()) %>%
head(10) %>%
arrange(rank)
# Add the correlation value to the data frame
correlation_matrix_df <- correlation_matrix_df %>%
mutate(correlation = sapply(variable, function(v) cor(numeric_vars$C150_4, numeric_vars[[v]], use = "pairwise.complete.obs"))) %>%
arrange(rank) %>%
select(variable, rank, correlation) %>%
mutate(correlation = round(correlation, 2))
print(correlation_matrix_df)## variable rank correlation
## COSTT4_A COSTT4_A 1 0.56
## RET_FT4 RET_FT4 2 0.53
## AVGFACSAL AVGFACSAL 3 0.48
## TUITFTE TUITFTE 4 0.45
## PCTPELL PCTPELL 5 -0.44
## INEXPFTE INEXPFTE 6 0.43
## NPT4_PRIV NPT4_PRIV 7 0.37
## ADM_RATE ADM_RATE 8 -0.32
## ADM_RATE_ALL ADM_RATE_ALL 9 -0.31
## PFTFAC PFTFAC 10 0.18# Create a bar plot of the top 10 correlations with C150_4
p22 <- ggplot(correlation_matrix_df, aes(x = reorder(variable, -correlation), y = correlation, fill = variable)) +
geom_bar(stat = "identity") +
labs(title = "Top 10 Correlations with Completion Rate",
x = "Variable",
y = "Correlation with Completion Rate") +
theme_minimal() +
theme(axis.text.x = element_text(angle = 45, hjust = 1),
axis.title.x = element_text(size = 18),
axis.title.y = element_text(size = 18),
plot.title = element_text(size = 20))
print(p22)
Completion Rate by School Size Category
# Create a bar plot of the completion rate by school size category
p23 <- ggplot(schools_sub1, aes(x = size_category, y = C150_4, fill = size_category)) +
geom_bar(stat = "summary", fun = "mean") +
labs(title = "Completion Rate by School Size Category",
x = "School Size Category",
y = "Completion Rate") +
theme_minimal() +
theme(plot.title = element_text(size = 20),axis.title.x = element_text(size = 18),
axis.title.y = element_text(size = 18))
print(p23)
Completion Rate by Pell Grant and Admission Rate Range
#create a variable that is a 1 if the PCTPELL is greater than 0.5 and 0 otherwise
schools_sub1 <- schools_sub1 %>% mutate(
high_pell = ifelse(PCTPELL > 0.5, 1, 0)
)
# Create a bar plot of the completion rate by high pell
p24 <- ggplot(schools_sub1, aes(x = high_pell, y = C150_4, fill = high_pell)) +
geom_bar(stat = "summary", fun = "mean") +
labs(title = "Completion Rate of when % of Student with Pell Grant is >50%",
x = "50% Pell Grant class division",
y = "Completion Rate") +
theme_minimal() +
theme(plot.title = element_text(size = 14),axis.title.x = element_text(size = 18),
axis.title.y = element_text(size = 18))#enhanced the y-axis to show smaller increments and go up to .60
p24 <- p24 + scale_y_continuous(limits = c(0, 0.6), breaks = seq(0, 0.6, 0.05))
print(p24)
#Create range bins for the ADM_RATE_ALL variable
schools_sub1 <- schools_sub1 %>% mutate(
adm_rate_range = case_when(
ADM_RATE_ALL < 0.25 ~ "0-25%",
ADM_RATE_ALL >= 0.25 & ADM_RATE_ALL < 0.50 ~ "25-50%",
ADM_RATE_ALL >= 0.50 & ADM_RATE_ALL < 0.75 ~ "50-75%",
ADM_RATE_ALL >= 0.75 ~ "75-100%"
)
)# Create a bar plot of the completion rate by admission rate range
p25 <- ggplot(schools_sub1, aes(x = adm_rate_range, y = C150_4, fill = adm_rate_range)) +
geom_bar(stat = "summary", fun = "mean") +
labs(title = "Completion Rate by Admission Rate Range",
x = "Admission Rate Range",
y = "Completion Rate") +
theme_minimal() +
theme(plot.title = element_text(size = 14),axis.title.x = element_text(size = 18),
axis.title.y = element_text(size = 18))
print(p25)
Completion Rate by Number of Branches
# Add numbranch to the schools_sub1 data frame from the schools dat frame
library(dplyr)
schools_sub1 <- schools_sub1 %>% dplyr::left_join(schools %>% select(INSTNM, NUMBRANCH), by = "INSTNM")
#create a bar plot of the completion rate by number of branches
p26 <- ggplot(schools_sub1, aes(x = NUMBRANCH, y = C150_4, fill = NUMBRANCH)) +
geom_bar(stat = "summary", fun = "mean") +
labs(title = "Completion Rate by # of Campus Branches",
x = "Number of Branches",
y = "Completion Rate") +
theme_minimal() +
theme(plot.title = element_text(size = 14),axis.title.x = element_text(size = 18),
axis.title.y = element_text(size = 18))print(p26)