Pete,
So you can only work with 50 columns at the time. I just posted another question after I had looked at the dataset. It has 444 rows and 102 columns of data. Do you know why I am losing column headings after column HR? Do I need to split the data by month year since it covers a 26 year period?
See below for new post from tonight:
Thanks for your help. Lori
My R code:
library(tidyverse)
dim(SingleFamilyResidenceRental)
lapply(SingleFamilyResidenceRental, class)
str(SingleFamilyResidenceRental)
SingleFamilyResidenceRental <- read_csv("SingleFamilyResidenceRental.csv")
SingleFamilyResidenceSales <- read_csv("SingleFamilyResidenceSales.csv")
information on the dataset:
[1] 444 102
$RegionID
[1] "numeric"
$RegionName
[1] "character"
$State
[1] "character"
$Metro
[1] "character"
$CountyName
[1] "character"
$SizeRank
[1] "numeric"
$2010-11
[1] "numeric"
$2010-12
[1] "numeric"
$2011-01
[1] "numeric"
$2011-02
[1] "numeric"
$2011-03
[1] "numeric"
$2011-04
[1] "numeric"
$2011-05
[1] "numeric"
$2011-06
[1] "numeric"
$2011-07
[1] "numeric"
$2011-08
[1] "numeric"
$2011-09
[1] "numeric"
$2011-10
[1] "numeric"
$2011-11
[1] "numeric"
$2011-12
[1] "numeric"
$2012-01
[1] "numeric"
$2012-02
[1] "numeric"
$2012-03
[1] "numeric"
$2012-04
[1] "numeric"
$2012-05
[1] "numeric"
$2012-06
[1] "numeric"
$2012-07
[1] "numeric"
$2012-08
[1] "numeric"
$2012-09
[1] "numeric"
$2012-10
[1] "numeric"
$2012-11
[1] "numeric"
$2012-12
[1] "numeric"
$2013-01
[1] "numeric"
$2013-02
[1] "numeric"
$2013-03
[1] "numeric"
$2013-04
[1] "numeric"
$2013-05
[1] "numeric"
$2013-06
[1] "numeric"
$2013-07
[1] "numeric"
$2013-08
[1] "numeric"
$2013-09
[1] "numeric"
$2013-10
[1] "numeric"
$2013-11
[1] "numeric"
$2013-12
[1] "numeric"
$2014-01
[1] "numeric"
$2014-02
[1] "numeric"
$2014-03
[1] "numeric"
$2014-04
[1] "numeric"
$2014-05
[1] "numeric"
$2014-06
[1] "numeric"
$2014-07
[1] "numeric"
$2014-08
[1] "numeric"
$2014-09
[1] "numeric"
$2014-10
[1] "numeric"
$2014-11
[1] "numeric"
$2014-12
[1] "numeric"
$2015-01
[1] "numeric"
$2015-02
[1] "numeric"
$2015-03
[1] "numeric"
$2015-04
[1] "numeric"
$2015-05
[1] "numeric"
$2015-06
[1] "numeric"
$2015-07
[1] "numeric"
$2015-08
[1] "numeric"
$2015-09
[1] "numeric"
$2015-10
[1] "numeric"
$2015-11
[1] "numeric"
$2015-12
[1] "numeric"
$2016-01
[1] "numeric"
$2016-02
[1] "numeric"
$2016-03
[1] "numeric"
$2016-04
[1] "numeric"
$2016-05
[1] "numeric"
$2016-06
[1] "numeric"
$2016-07
[1] "numeric"
$2016-08
[1] "numeric"
$2016-09
[1] "numeric"
$2016-10
[1] "numeric"
$2016-11
[1] "numeric"
$2016-12
[1] "numeric"
$2017-01
[1] "numeric"
$2017-02
[1] "numeric"
$2017-03
[1] "numeric"
$2017-04
[1] "numeric"
$2017-05
[1] "numeric"
$2017-06
[1] "numeric"
$2017-07
[1] "numeric"
$2017-08
[1] "numeric"
$2017-09
[1] "numeric"
$2017-10
[1] "numeric"
$2017-11
[1] "numeric"
$2017-12
[1] "numeric"
$2018-01
[1] "numeric"
$2018-02
[1] "numeric"
$2018-03
[1] "numeric"
$2018-04
[1] "numeric"
$2018-05
[1] "numeric"
$2018-06
[1] "numeric"
$2018-07
[1] "numeric"
$2018-08
[1] "numeric"
$2018-09
[1] "numeric"
$2018-10
[1] "numeric"
Classes ‘spec_tbl_df’, ‘tbl_df’, ‘tbl’ and 'data.frame': 444 obs. of 102 variables:
R
e
g
i
o
n
I
D
:
n
u
m
24043
54047
11722
24457
41760
.
.
.
RegionName: chr "Charlotte" "Raleigh" "Greensboro" "Durham" ...
S
t
a
t
e
:
c
h
r
"
N
C
""
N
C
""
N
C
""
N
C
"
.
.
.
Metro : chr "Charlotte-Concord-Gastonia" "Raleigh" "Greensboro-High Point" "Durham-Chapel Hill" ...
C
o
u
n
t
y
N
a
m
e
:
c
h
r
"
M
e
c
k
l
e
n
b
u
r
g
C
o
u
n
t
y
""
W
a
k
e
C
o
u
n
t
y
""
G
u
i
l
f
o
r
d
C
o
u
n
t
y
""
D
u
r
h
a
m
C
o
u
n
t
y
"
.
.
.
SizeRank : num 16 38 70 75 95 101 141 217 306 342 ...
2010
−
11
:
n
u
m
1080
1198
912
1185
918
.
.
.
2010-12 : num 1070 1202 919 1177 932 ...
2011
−
01
:
n
u
m
1067
1204
938
1173
933
.
.
.
2011-02 : num 1066 1205 950 1169 923 ...
2011
−
03
:
n
u
m
1068
1205
971
1169
912
.
.
.
2011-04 : num 1071 1206 981 1173 907 ...
2011
−
05
:
n
u
m
1076
1207
985
1178
907
.
.
.
2011-06 : num 1082 1210 982 1179 914 ...
2011
−
07
:
n
u
m
1090
1214
979
1176
923
.
.
.
2011-08 : num 1099 1220 979 1172 933 ...
2011
−
09
:
n
u
m
1109
1227
985
1168
936
.
.
.
2011-10 : num 1114 1236 989 1162 936 ...
2011
−
11
:
n
u
m
1113
1243
989
1157
934
.
.
.
2011-12 : num 1109 1245 985 1152 932 ...
2012
−
01
:
n
u
m
1106
1247
984
1152
934
.
.
.
2012-02 : num 1106 1247 979 1153 940 ...
2012
−
03
:
n
u
m
1109
1249
969
1153
949
.
.
.
2012-04 : num 1115 1246 956 1155 958 ...
2012
−
05
:
n
u
m
1123
1244
945
1162
963
.
.
.
2012-06 : num 1133 1246 940 1171 970 ...
2012
−
07
:
n
u
m
1143
1255
940
1179
975
.
.
.
2012-08 : num 1152 1266 938 1182 981 ...
2012
−
09
:
n
u
m
1156
1272
935
1180
980
.
.
.
2012-10 : num 1158 1271 927 1180 977 ...
2012
−
11
:
n
u
m
1157
1263
924
1182
971
.
.
.
2012-12 : num 1154 1254 916 1185 965 ...
2013
−
01
:
n
u
m
1152
1247
914
1187
960
.
.
.
2013-02 : num 1151 1245 913 1189 955 ...
2013
−
03
:
n
u
m
1154
1244
918
1192
951
.
.
.
2013-04 : num 1159 1247 921 1195 948 ...
2013
−
05
:
n
u
m
1166
1255
928
1202
950
.
.
.
2013-06 : num 1172 1268 937 1209 960 ...
2013
−
07
:
n
u
m
1179
1282
951
1217
976
.
.
.
2013-08 : num 1185 1292 964 1218 990 ...
2013
−
09
:
n
u
m
1190
1297
974
1219
999
.
.
.
2013-10 : num 1194 1297 979 1216 1002 ...
2013
−
11
:
n
u
m
1196
1295
984
1213
1003
.
.
.
2013-12 : num 1197 1293 988 1207 1001 ...
2014
−
01
:
n
u
m
1194
1291
989
1204
998
.
.
.
2014-02 : num 1190 1290 986 1204 997 ...
2014
−
03
:
n
u
m
1186
1290
981
1204
995
.
.
.
2014-04 : num 1184 1292 977 1208 994 ...
2014
−
05
:
n
u
m
1185
1296
976
1214
994
.
.
.
2014-06 : num 1187 1300 976 1223 993 ...
2014
−
07
:
n
u
m
1192
1311
978
1234
992
.
.
.
2014-08 : num 1202 1322 981 1243 991 ...
2014
−
09
:
n
u
m
1214
1332
983
1250
989
.
.
.
2014-10 : num 1224 1335 985 1252 989 ...
2014
−
11
:
n
u
m
1231
1337
987
1253
988
.
.
.
2014-12 : num 1235 1339 993 1257 988 ...
2015
−
01
:
n
u
m
1237
1341
997
1262
989
.
.
.
2015-02 : num 1236 1346 999 1268 989 ...
2015
−
03
:
n
u
m
1237
1350
996
1271
988
.
.
.
2015-04 : num 1240 1355 1002 1275 984 ...
2015
−
05
:
n
u
m
1245
1358
1016
1278
982
.
.
.
2015-06 : num 1253 1362 1033 1284 989 ...
2015
−
07
:
n
u
m
1263
1369
1044
1292
1000
.
.
.
2015-08 : num 1272 1376 1047 1299 1013 ...
2015
−
09
:
n
u
m
1276
1382
1044
1299
1017
.
.
.
2015-10 : num 1274 1380 1037 1296 1016 ...
2015
−
11
:
n
u
m
1271
1376
1027
1291
1009
.
.
.
2015-12 : num 1269 1370 1018 1290 1004 ...
2016
−
01
:
n
u
m
1274
1372
1014
1293
1006
.
.
.
2016-02 : num 1278 1376 1013 1297 1011 ...
2016
−
03
:
n
u
m
1284
1384
1014
1305
1018
.
.
.
2016-04 : num 1289 1388 1014 1313 1022 ...
2016
−
05
:
n
u
m
1298
1391
1018
1322
1029
.
.
.
2016-06 : num 1307 1392 1027 1329 1035 ...
2016
−
07
:
n
u
m
1315
1393
1034
1335
1039
.
.
.
2016-08 : num 1321 1394 1037 1341 1041 ...
2016
−
09
:
n
u
m
1328
1395
1037
1344
1039
.
.
.
2016-10 : num 1332 1396 1034 1344 1034 ...
2016
−
11
:
n
u
m
1332
1398
1032
1341
1028
.
.
.
2016-12 : num 1330 1398 1033 1340 1018 ...
2017
−
01
:
n
u
m
1328
1396
1032
1338
1008
.
.
.
2017-02 : num 1328 1398 1032 1337 1005 ...
2017
−
03
:
n
u
m
1330
1406
1030
1338
1011
.
.
.
2017-04 : num 1332 1418 1033 1344 1022 ...
2017
−
05
:
n
u
m
1337
1428
1037
1355
1031
.
.
.
2017-06 : num 1343 1435 1042 1365 1039 ...
2017
−
07
:
n
u
m
1352
1439
1052
1370
1047
.
.
.
2017-08 : num 1364 1442 1068 1371 1057 ...
2017
−
09
:
n
u
m
1375
1444
1084
1375
1067
.
.
.
2017-10 : num 1384 1444 1097 1379 1076 ...
2017
−
11
:
n
u
m
1390
1443
1100
1379
1081
.
.
.
2017-12 : num 1392 1441 1101 1374 1084 ...
2018
−
01
:
n
u
m
1392
1438
1099
1368
1083
.
.
.
2018-02 : num 1392 1438 1099 1366 1084 ...
2018
−
03
:
n
u
m
1391
1439
1099
1369
1082
.
.
.
2018-04 : num 1391 1441 1099 1372 1082 ...
2018
−
05
:
n
u
m
1391
1442
1099
1376
1082
.
.
.
2018-06 : num 1391 1443 1099 1377 1081 ...
$ 2018-07 : num 1391 1443 1099 1378 1081 ...
[list output truncated]
attr(*, "spec")=
.. cols(
.. RegionID = col_double(),
.. RegionName = col_character(),
.. State = col_character(),
.. Metro = col_character(),
.. CountyName = col_character(),
.. SizeRank = col_double(),
.. 2010-11 = col_double(),
.. 2010-12 = col_double(),
.. 2011-01 = col_double(),
.. 2011-02 = col_double(),
.. 2011-03 = col_double(),
.. 2011-04 = col_double(),
.. 2011-05 = col_double(),
.. 2011-06 = col_double(),
.. 2011-07 = col_double(),
.. 2011-08 = col_double(),
.. 2011-09 = col_double(),
.. 2011-10 = col_double(),
.. 2011-11 = col_double(),
.. 2011-12 = col_double(),
.. 2012-01 = col_double(),
.. 2012-02 = col_double(),
.. 2012-03 = col_double(),
.. 2012-04 = col_double(),
.. 2012-05 = col_double(),
.. 2012-06 = col_double(),
.. 2012-07 = col_double(),
.. 2012-08 = col_double(),
.. 2012-09 = col_double(),
.. 2012-10 = col_double(),
.. 2012-11 = col_double(),
.. 2012-12 = col_double(),
.. 2013-01 = col_double(),
.. 2013-02 = col_double(),
.. 2013-03 = col_double(),
.. 2013-04 = col_double(),
.. 2013-05 = col_double(),
.. 2013-06 = col_double(),
.. 2013-07 = col_double(),
.. 2013-08 = col_double(),
.. 2013-09 = col_double(),
.. 2013-10 = col_double(),
.. 2013-11 = col_double(),
.. 2013-12 = col_double(),
.. 2014-01 = col_double(),
.. 2014-02 = col_double(),
.. 2014-03 = col_double(),
.. 2014-04 = col_double(),
.. 2014-05 = col_double(),
.. 2014-06 = col_double(),
.. 2014-07 = col_double(),
.. 2014-08 = col_double(),
.. 2014-09 = col_double(),
.. 2014-10 = col_double(),
.. 2014-11 = col_double(),
.. 2014-12 = col_double(),
.. 2015-01 = col_double(),
.. 2015-02 = col_double(),
.. 2015-03 = col_double(),
.. 2015-04 = col_double(),
.. 2015-05 = col_double(),
.. 2015-06 = col_double(),
.. 2015-07 = col_double(),
.. 2015-08 = col_double(),
.. 2015-09 = col_double(),
.. 2015-10 = col_double(),
.. 2015-11 = col_double(),
.. 2015-12 = col_double(),
.. 2016-01 = col_double(),
.. 2016-02 = col_double(),
.. 2016-03 = col_double(),
.. 2016-04 = col_double(),
.. 2016-05 = col_double(),
.. 2016-06 = col_double(),
.. 2016-07 = col_double(),
.. 2016-08 = col_double(),
.. 2016-09 = col_double(),
.. 2016-10 = col_double(),
.. 2016-11 = col_double(),
.. 2016-12 = col_double(),
.. 2017-01 = col_double(),
.. 2017-02 = col_double(),
.. 2017-03 = col_double(),
.. 2017-04 = col_double(),
.. 2017-05 = col_double(),
.. 2017-06 = col_double(),
.. 2017-07 = col_double(),
.. 2017-08 = col_double(),
.. 2017-09 = col_double(),
.. 2017-10 = col_double(),
.. 2017-11 = col_double(),
.. 2017-12 = col_double(),
.. 2018-01 = col_double(),
.. 2018-02 = col_double(),
.. 2018-03 = col_double(),
.. 2018-04 = col_double(),
.. 2018-05 = col_double(),
.. 2018-06 = col_double(),
.. 2018-07 = col_double(),
.. 2018-08 = col_double(),
.. 2018-09 = col_double(),
.. 2018-10 = col_double()
.. )