Overview

Dataset statistics

Number of variables63
Number of observations8115
Missing cells80636
Missing cells (%)15.8%
Duplicate rows31
Duplicate rows (%)0.4%
Total size in memory3.9 MiB
Average record size in memory504.0 B

Variable types

Text24
Categorical38
DateTime1

Alerts

Dataset has 31 (0.4%) duplicate rowsDuplicates
updategbn is highly imbalanced (80.5%)Imbalance
trdstatenm is highly imbalanced (61.8%)Imbalance
dtlstatenm is highly imbalanced (50.7%)Imbalance
uptaenm is highly imbalanced (50.3%)Imbalance
gaspdtsortnm is highly imbalanced (60.3%)Imbalance
gassortnm is highly imbalanced (60.3%)Imbalance
upchnm is highly imbalanced (83.4%)Imbalance
suprulesctn is highly imbalanced (60.3%)Imbalance
spyvolt is highly imbalanced (64.3%)Imbalance
ltchgcn is highly imbalanced (60.3%)Imbalance
exmran is highly imbalanced (60.3%)Imbalance
prdsiz is highly imbalanced (60.3%)Imbalance
baelt is highly imbalanced (60.3%)Imbalance
baeesbplc is highly imbalanced (60.3%)Imbalance
offtelno is highly imbalanced (87.5%)Imbalance
ofear is highly imbalanced (74.6%)Imbalance
bsnsopeningprearrymd is highly imbalanced (60.3%)Imbalance
wrkpgrdsrvsenm is highly imbalanced (86.7%)Imbalance
wrkptelno is highly imbalanced (80.0%)Imbalance
dsnrspvsnsortnm is highly imbalanced (80.1%)Imbalance
equnm is highly imbalanced (60.3%)Imbalance
stanm is highly imbalanced (77.9%)Imbalance
faciluseyn is highly imbalanced (60.3%)Imbalance
realcapt is highly imbalanced (89.2%)Imbalance
cobgbnnm is highly imbalanced (72.8%)Imbalance
instrstoroomar is highly imbalanced (74.6%)Imbalance
motpowersortnm is highly imbalanced (63.2%)Imbalance
cyprpdtfacil is highly imbalanced (60.3%)Imbalance
capt is highly imbalanced (83.5%)Imbalance
saveequloc is highly imbalanced (60.3%)Imbalance
scoalar is highly imbalanced (60.3%)Imbalance
prdsenm is highly imbalanced (63.2%)Imbalance
frequ is highly imbalanced (55.7%)Imbalance
cgpar is highly imbalanced (75.0%)Imbalance
rlservlnennm is highly imbalanced (61.0%)Imbalance
tregascap is highly imbalanced (61.0%)Imbalance
opnsfteamcode has 285 (3.5%) missing valuesMissing
mgtno has 102 (1.3%) missing valuesMissing
updatedt has 265 (3.3%) missing valuesMissing
bplcnm has 301 (3.7%) missing valuesMissing
sitepostno has 7310 (90.1%) missing valuesMissing
sitewhladdr has 323 (4.0%) missing valuesMissing
rdnpostno has 418 (5.2%) missing valuesMissing
rdnwhladdr has 1749 (21.6%) missing valuesMissing
apvpermymd has 301 (3.7%) missing valuesMissing
dcbymd has 6978 (86.0%) missing valuesMissing
clgstdt has 7347 (90.5%) missing valuesMissing
clgenddt has 7347 (90.5%) missing valuesMissing
ropnymd has 7402 (91.2%) missing valuesMissing
x has 1162 (14.3%) missing valuesMissing
y has 1162 (14.3%) missing valuesMissing
lastmodts has 301 (3.7%) missing valuesMissing
sitetel has 864 (10.6%) missing valuesMissing
useobj has 6997 (86.2%) missing valuesMissing
usemet has 6997 (86.2%) missing valuesMissing
equcap has 3494 (43.1%) missing valuesMissing
sygrglstcnt has 7018 (86.5%) missing valuesMissing
bmonuseqy has 7018 (86.5%) missing valuesMissing
permcn has 4973 (61.3%) missing valuesMissing
last_load_dttm has 522 (6.4%) missing valuesMissing

Reproduction

Analysis started2024-04-16 04:12:19.218343
Analysis finished2024-04-16 04:12:26.165601
Duration6.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Text

Distinct7873
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
2024-04-16T13:12:26.749051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length4
Mean length4.8036969
Min length1

Characters and Unicode

Total characters38982
Distinct characters237
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7848 ?
Unique (%)96.7%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
내 100
 
1.0%
준비기간 100
 
1.0%
취소 84
 
0.8%
됩니다 84
 
0.8%
및 60
 
0.6%
경우 60
 
0.6%
설치 58
 
0.6%
사업의 57
 
0.6%
전기설비의 57
 
0.6%
사업을 57
 
0.6%
Other values (8016) 9199
92.8%
2024-04-16T13:12:27.883615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3459
8.9%
3 3419
8.8%
1 3394
 
8.7%
4 3376
 
8.7%
5 3371
 
8.6%
6 3371
 
8.6%
7 3192
 
8.2%
0 2301
 
5.9%
8 2285
 
5.9%
9 2273
 
5.8%
Other values (227) 8541
21.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30441
78.1%
Other Letter 6064
 
15.6%
Space Separator 2004
 
5.1%
Other Punctuation 185
 
0.5%
Open Punctuation 93
 
0.2%
Close Punctuation 93
 
0.2%
Dash Punctuation 46
 
0.1%
Lowercase Letter 37
 
0.1%
Uppercase Letter 12
 
< 0.1%
Other Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 327
 
5.4%
업 284
 
4.7%
가 224
 
3.7%
기 193
 
3.2%
니 165
 
2.7%
비 162
 
2.7%
허 154
 
2.5%
의 149
 
2.5%
내 134
 
2.2%
설 119
 
2.0%
Other values (190) 4153
68.5%
Decimal Number
ValueCountFrequency (%)
2 3459
11.4%
3 3419
11.2%
1 3394
11.1%
4 3376
11.1%
5 3371
11.1%
6 3371
11.1%
7 3192
10.5%
0 2301
7.6%
8 2285
7.5%
9 2273
7.5%
Lowercase Letter
ValueCountFrequency (%)
a 8
21.6%
e 5
13.5%
l 5
13.5%
k 3
 
8.1%
r 3
 
8.1%
o 3
 
8.1%
t 3
 
8.1%
u 3
 
8.1%
g 3
 
8.1%
w 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 151
81.6%
, 18
 
9.7%
: 9
 
4.9%
* 6
 
3.2%
※ 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
W 4
33.3%
R 3
25.0%
P 2
16.7%
M 2
16.7%
O 1
 
8.3%
Other Symbol
ValueCountFrequency (%)
○ 3
60.0%
㎥ 2
40.0%
Space Separator
ValueCountFrequency (%)
2004
100.0%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32869
84.3%
Hangul 6064
 
15.6%
Latin 49
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 327
 
5.4%
업 284
 
4.7%
가 224
 
3.7%
기 193
 
3.2%
니 165
 
2.7%
비 162
 
2.7%
허 154
 
2.5%
의 149
 
2.5%
내 134
 
2.2%
설 119
 
2.0%
Other values (190) 4153
68.5%
Common
ValueCountFrequency (%)
2 3459
10.5%
3 3419
10.4%
1 3394
10.3%
4 3376
10.3%
5 3371
10.3%
6 3371
10.3%
7 3192
9.7%
0 2301
7.0%
8 2285
7.0%
9 2273
6.9%
Other values (12) 2428
7.4%
Latin
ValueCountFrequency (%)
a 8
16.3%
e 5
10.2%
l 5
10.2%
W 4
8.2%
k 3
 
6.1%
r 3
 
6.1%
o 3
 
6.1%
t 3
 
6.1%
u 3
 
6.1%
g 3
 
6.1%
Other values (5) 9
18.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32912
84.4%
Hangul 6064
 
15.6%
Geometric Shapes 3
 
< 0.1%
CJK Compat 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3459
10.5%
3 3419
10.4%
1 3394
10.3%
4 3376
10.3%
5 3371
10.2%
6 3371
10.2%
7 3192
9.7%
0 2301
7.0%
8 2285
6.9%
9 2273
6.9%
Other values (24) 2471
7.5%
Hangul
ValueCountFrequency (%)
사 327
 
5.4%
업 284
 
4.7%
가 224
 
3.7%
기 193
 
3.2%
니 165
 
2.7%
비 162
 
2.7%
허 154
 
2.5%
의 149
 
2.5%
내 134
 
2.2%
설 119
 
2.0%
Other values (190) 4153
68.5%
Geometric Shapes
ValueCountFrequency (%)
○ 3
100.0%
CJK Compat
ValueCountFrequency (%)
㎥ 2
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

opnsfteamcode
Text

MISSING 

Distinct239
Distinct (%)3.1%
Missing285
Missing (%)3.5%
Memory size63.5 KiB
2024-04-16T13:12:28.691363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.9960409
Min length5

Characters and Unicode

Total characters54779
Distinct characters22
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.2%

Sample

1st row3250000
2nd row3250000
3rd row3250000
4th row3250000
5th row3250000
ValueCountFrequency (%)
5080000 282
 
3.6%
3390000 203
 
2.6%
5060000 158
 
2.0%
3340000 151
 
1.9%
5050000 149
 
1.9%
5530000 133
 
1.7%
4540000 127
 
1.6%
4490000 124
 
1.6%
4690000 122
 
1.6%
3290000 116
 
1.5%
Other values (229) 6265
80.0%
2024-04-16T13:12:30.236937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33045
60.3%
4 4870
 
8.9%
3 4404
 
8.0%
5 3408
 
6.2%
6 2168
 
4.0%
8 1498
 
2.7%
9 1446
 
2.6%
7 1408
 
2.6%
2 1255
 
2.3%
1 1189
 
2.2%
Other values (12) 88
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54691
99.8%
Other Letter 88
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
명 17
19.3%
분 16
18.2%
조 16
18.2%
구 16
18.2%
제 16
18.2%
설 1
 
1.1%
계 1
 
1.1%
감 1
 
1.1%
리 1
 
1.1%
업 1
 
1.1%
Other values (2) 2
 
2.3%
Decimal Number
ValueCountFrequency (%)
0 33045
60.4%
4 4870
 
8.9%
3 4404
 
8.1%
5 3408
 
6.2%
6 2168
 
4.0%
8 1498
 
2.7%
9 1446
 
2.6%
7 1408
 
2.6%
2 1255
 
2.3%
1 1189
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
Common 54691
99.8%
Hangul 88
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
명 17
19.3%
분 16
18.2%
조 16
18.2%
구 16
18.2%
제 16
18.2%
설 1
 
1.1%
계 1
 
1.1%
감 1
 
1.1%
리 1
 
1.1%
업 1
 
1.1%
Other values (2) 2
 
2.3%
Common
ValueCountFrequency (%)
0 33045
60.4%
4 4870
 
8.9%
3 4404
 
8.1%
5 3408
 
6.2%
6 2168
 
4.0%
8 1498
 
2.7%
9 1446
 
2.6%
7 1408
 
2.6%
2 1255
 
2.3%
1 1189
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54691
99.8%
Hangul 88
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33045
60.4%
4 4870
 
8.9%
3 4404
 
8.1%
5 3408
 
6.2%
6 2168
 
4.0%
8 1498
 
2.7%
9 1446
 
2.6%
7 1408
 
2.6%
2 1255
 
2.3%
1 1189
 
2.2%
Hangul
ValueCountFrequency (%)
명 17
19.3%
분 16
18.2%
조 16
18.2%
구 16
18.2%
제 16
18.2%
설 1
 
1.1%
계 1
 
1.1%
감 1
 
1.1%
리 1
 
1.1%
업 1
 
1.1%
Other values (2) 2
 
2.3%

mgtno
Text

MISSING 

Distinct6335
Distinct (%)79.1%
Missing102
Missing (%)1.3%
Memory size63.5 KiB
2024-04-16T13:12:30.749650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length18.510296
Min length2

Characters and Unicode

Total characters148323
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5436 ?
Unique (%)67.8%

Sample

1st row1987325001401500001
2nd row1971325001401200003
3rd row1971325001401200004
4th row1976325001401500001
5th row1976325001401500004
ValueCountFrequency (%)
60 199
 
2.5%
3250010-201-2014-00001 6
 
0.1%
2019535000038500033 3
 
< 0.1%
2019546000038500047 3
 
< 0.1%
2019546000038500046 3
 
< 0.1%
2020535030102100002 3
 
< 0.1%
2020541000038500009 3
 
< 0.1%
2019534016602100001 3
 
< 0.1%
2019546000038500049 3
 
< 0.1%
2019546000038500048 3
 
< 0.1%
Other values (6325) 7784
97.1%
2024-04-16T13:12:31.728560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 63023
42.5%
2 17515
 
11.8%
1 14949
 
10.1%
3 11138
 
7.5%
5 10894
 
7.3%
8 8419
 
5.7%
9 7514
 
5.1%
4 7173
 
4.8%
6 4596
 
3.1%
7 3070
 
2.1%
Other values (4) 32
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 148291
> 99.9%
Dash Punctuation 29
 
< 0.1%
Other Letter 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 63023
42.5%
2 17515
 
11.8%
1 14949
 
10.1%
3 11138
 
7.5%
5 10894
 
7.3%
8 8419
 
5.7%
9 7514
 
5.1%
4 7173
 
4.8%
6 4596
 
3.1%
7 3070
 
2.1%
Other Letter
ValueCountFrequency (%)
설 1
33.3%
비 1
33.3%
명 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 148320
> 99.9%
Hangul 3
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 63023
42.5%
2 17515
 
11.8%
1 14949
 
10.1%
3 11138
 
7.5%
5 10894
 
7.3%
8 8419
 
5.7%
9 7514
 
5.1%
4 7173
 
4.8%
6 4596
 
3.1%
7 3070
 
2.1%
Hangul
ValueCountFrequency (%)
설 1
33.3%
비 1
33.3%
명 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 148320
> 99.9%
Hangul 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 63023
42.5%
2 17515
 
11.8%
1 14949
 
10.1%
3 11138
 
7.5%
5 10894
 
7.3%
8 8419
 
5.7%
9 7514
 
5.1%
4 7173
 
4.8%
6 4596
 
3.1%
7 3070
 
2.1%
Hangul
ValueCountFrequency (%)
설 1
33.3%
비 1
33.3%
명 1
33.3%

opnsvcid
Categorical

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
09_28_11_P
4425 
09_28_08_P
1523 
09_28_05_P
1037 
09_28_14_P
539 
<NA>
 
285
Other values (8)
 
306

Length

Max length10
Median length10
Mean length9.7786815
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row09_28_08_P
2nd row09_28_08_P
3rd row09_28_08_P
4th row09_28_08_P
5th row09_28_08_P

Common Values

ValueCountFrequency (%)
09_28_11_P 4425
54.5%
09_28_08_P 1523
 
18.8%
09_28_05_P 1037
 
12.8%
09_28_14_P 539
 
6.6%
<NA> 285
 
3.5%
09_28_12_P 82
 
1.0%
09_28_04_P 75
 
0.9%
09_28_13_P 73
 
0.9%
09_28_07_P 24
 
0.3%
09_28_03_P 18
 
0.2%
Other values (3) 34
 
0.4%

Length

2024-04-16T13:12:32.159427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
09_28_11_p 4425
54.5%
09_28_08_p 1523
 
18.8%
09_28_05_p 1037
 
12.8%
09_28_14_p 539
 
6.6%
na 285
 
3.5%
09_28_12_p 82
 
1.0%
09_28_04_p 75
 
0.9%
09_28_13_p 73
 
0.9%
09_28_07_p 24
 
0.3%
09_28_03_p 18
 
0.2%
Other values (3) 34
 
0.4%

updategbn
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
I
7538 
<NA>
 
285
U
 
275
철도인입선유무명
 
16
소속국가명
 
1

Length

Max length8
Median length1
Mean length1.119655
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowI
2nd rowI
3rd rowI
4th rowI
5th rowI

Common Values

ValueCountFrequency (%)
I 7538
92.9%
<NA> 285
 
3.5%
U 275
 
3.4%
철도인입선유무명 16
 
0.2%
소속국가명 1
 
< 0.1%

Length

2024-04-16T13:12:32.526319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:12:32.925409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 7538
92.9%
na 285
 
3.5%
u 275
 
3.4%
철도인입선유무명 16
 
0.2%
소속국가명 1
 
< 0.1%

updatedt
Text

MISSING 

Distinct676
Distinct (%)8.6%
Missing265
Missing (%)3.3%
Memory size63.5 KiB
2024-04-16T13:12:33.619541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length20.918981
Min length1

Characters and Unicode

Total characters164214
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)0.8%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0
ValueCountFrequency (%)
2018-08-31 1401
 
8.9%
23:59:59.0 1401
 
8.9%
00:23:23.0 288
 
1.8%
02:40:00.0 273
 
1.7%
00:23:22.0 182
 
1.2%
00:23:25.0 182
 
1.2%
00:23:16.0 171
 
1.1%
00:23:26.0 165
 
1.1%
00:23:21.0 164
 
1.0%
00:23:20.0 152
 
1.0%
Other values (743) 11284
72.0%
2024-04-16T13:12:34.857112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 40353
24.6%
2 27742
16.9%
1 15966
 
9.7%
: 15626
 
9.5%
- 15626
 
9.5%
3 9395
 
5.7%
. 7813
 
4.8%
7813
 
4.8%
9 7318
 
4.5%
5 5176
 
3.2%
Other values (10) 11386
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 117240
71.4%
Other Punctuation 23439
 
14.3%
Dash Punctuation 15626
 
9.5%
Space Separator 7813
 
4.8%
Other Letter 96
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40353
34.4%
2 27742
23.7%
1 15966
 
13.6%
3 9395
 
8.0%
9 7318
 
6.2%
5 5176
 
4.4%
8 4873
 
4.2%
4 2656
 
2.3%
7 1933
 
1.6%
6 1828
 
1.6%
Other Letter
ValueCountFrequency (%)
취 16
16.7%
급 16
16.7%
가 16
16.7%
스 16
16.7%
용 16
16.7%
량 16
16.7%
Other Punctuation
ValueCountFrequency (%)
: 15626
66.7%
. 7813
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 15626
100.0%
Space Separator
ValueCountFrequency (%)
7813
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 164118
99.9%
Hangul 96
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 40353
24.6%
2 27742
16.9%
1 15966
 
9.7%
: 15626
 
9.5%
- 15626
 
9.5%
3 9395
 
5.7%
. 7813
 
4.8%
7813
 
4.8%
9 7318
 
4.5%
5 5176
 
3.2%
Other values (4) 11290
 
6.9%
Hangul
ValueCountFrequency (%)
취 16
16.7%
급 16
16.7%
가 16
16.7%
스 16
16.7%
용 16
16.7%
량 16
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 164118
99.9%
Hangul 96
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 40353
24.6%
2 27742
16.9%
1 15966
 
9.7%
: 15626
 
9.5%
- 15626
 
9.5%
3 9395
 
5.7%
. 7813
 
4.8%
7813
 
4.8%
9 7318
 
4.5%
5 5176
 
3.2%
Other values (4) 11290
 
6.9%
Hangul
ValueCountFrequency (%)
취 16
16.7%
급 16
16.7%
가 16
16.7%
스 16
16.7%
용 16
16.7%
량 16
16.7%

opnsvcnm
Categorical

Distinct14
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
전기사업업체
4425 
<NA>
1505 
고압가스업
1037 
특정고압가스업
539 
2021-02-01 05:14:03
 
124
Other values (9)
485 

Length

Max length19
Median length6
Mean length5.9425755
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
전기사업업체 4425
54.5%
<NA> 1505
 
18.5%
고압가스업 1037
 
12.8%
특정고압가스업 539
 
6.6%
2021-02-01 05:14:03 124
 
1.5%
석유판매업 120
 
1.5%
전력기술감리업체 82
 
1.0%
계량기증명업 75
 
0.9%
2021-02-01 05:14:04 75
 
0.9%
전력기술설계업체 73
 
0.9%
Other values (4) 60
 
0.7%

Length

2024-04-16T13:12:35.252020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전기사업업체 4425
53.2%
na 1505
 
18.1%
고압가스업 1037
 
12.5%
특정고압가스업 539
 
6.5%
2021-02-01 199
 
2.4%
05:14:03 124
 
1.5%
석유판매업 120
 
1.4%
전력기술감리업체 82
 
1.0%
계량기증명업 75
 
0.9%
05:14:04 75
 
0.9%
Other values (5) 133
 
1.6%

bplcnm
Text

MISSING 

Distinct5774
Distinct (%)73.9%
Missing301
Missing (%)3.7%
Memory size63.5 KiB
2024-04-16T13:12:36.162694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length9.4015869
Min length1

Characters and Unicode

Total characters73464
Distinct characters702
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4604 ?
Unique (%)58.9%

Sample

1st row고려주유소
2nd row영신석유
3rd row남포석유상사
4th row강남주유소
5th row에스씨(주) 제일주유소
ValueCountFrequency (%)
태양광발전소 2280
 
19.9%
주식회사 175
 
1.5%
발전소 100
 
0.9%
태양광 72
 
0.6%
3호 26
 
0.2%
2호 26
 
0.2%
황용 24
 
0.2%
수소충전소 18
 
0.2%
가야곡 17
 
0.1%
4호 16
 
0.1%
Other values (6103) 8692
75.9%
2024-04-16T13:12:37.765512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 4906
 
6.7%
전 4280
 
5.8%
양 4186
 
5.7%
광 4103
 
5.6%
태 4078
 
5.6%
발 4026
 
5.5%
3635
 
4.9%
주 2418
 
3.3%
) 1803
 
2.5%
( 1801
 
2.5%
Other values (692) 38228
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62454
85.0%
Space Separator 3635
 
4.9%
Decimal Number 2795
 
3.8%
Close Punctuation 1815
 
2.5%
Open Punctuation 1813
 
2.5%
Uppercase Letter 717
 
1.0%
Lowercase Letter 91
 
0.1%
Dash Punctuation 60
 
0.1%
Other Symbol 42
 
0.1%
Other Punctuation 33
 
< 0.1%
Other values (2) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 4906
 
7.9%
전 4280
 
6.9%
양 4186
 
6.7%
광 4103
 
6.6%
태 4078
 
6.5%
발 4026
 
6.4%
주 2418
 
3.9%
호 1633
 
2.6%
유 1578
 
2.5%
지 908
 
1.5%
Other values (625) 30338
48.6%
Uppercase Letter
ValueCountFrequency (%)
S 191
26.6%
K 123
17.2%
C 43
 
6.0%
G 40
 
5.6%
J 35
 
4.9%
H 31
 
4.3%
L 30
 
4.2%
E 25
 
3.5%
M 25
 
3.5%
N 21
 
2.9%
Other values (14) 153
21.3%
Lowercase Letter
ValueCountFrequency (%)
e 17
18.7%
s 15
16.5%
l 9
9.9%
k 9
9.9%
c 6
 
6.6%
r 5
 
5.5%
o 4
 
4.4%
h 4
 
4.4%
a 4
 
4.4%
n 4
 
4.4%
Other values (6) 14
15.4%
Decimal Number
ValueCountFrequency (%)
1 905
32.4%
2 720
25.8%
3 348
 
12.5%
4 197
 
7.0%
9 149
 
5.3%
5 140
 
5.0%
6 107
 
3.8%
0 97
 
3.5%
8 68
 
2.4%
7 64
 
2.3%
Other Punctuation
ValueCountFrequency (%)
& 8
24.2%
/ 8
24.2%
# 6
18.2%
. 5
15.2%
, 5
15.2%
· 1
 
3.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
33.3%
Ⅲ 1
33.3%
Ⅱ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 1803
99.3%
] 12
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 1801
99.3%
[ 12
 
0.7%
Space Separator
ValueCountFrequency (%)
3635
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 42
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62496
85.1%
Common 10157
 
13.8%
Latin 811
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 4906
 
7.9%
전 4280
 
6.8%
양 4186
 
6.7%
광 4103
 
6.6%
태 4078
 
6.5%
발 4026
 
6.4%
주 2418
 
3.9%
호 1633
 
2.6%
유 1578
 
2.5%
지 908
 
1.5%
Other values (626) 30380
48.6%
Latin
ValueCountFrequency (%)
S 191
23.6%
K 123
15.2%
C 43
 
5.3%
G 40
 
4.9%
J 35
 
4.3%
H 31
 
3.8%
L 30
 
3.7%
E 25
 
3.1%
M 25
 
3.1%
N 21
 
2.6%
Other values (33) 247
30.5%
Common
ValueCountFrequency (%)
3635
35.8%
) 1803
17.8%
( 1801
17.7%
1 905
 
8.9%
2 720
 
7.1%
3 348
 
3.4%
4 197
 
1.9%
9 149
 
1.5%
5 140
 
1.4%
6 107
 
1.1%
Other values (13) 352
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62454
85.0%
ASCII 10964
 
14.9%
None 43
 
0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 4906
 
7.9%
전 4280
 
6.9%
양 4186
 
6.7%
광 4103
 
6.6%
태 4078
 
6.5%
발 4026
 
6.4%
주 2418
 
3.9%
호 1633
 
2.6%
유 1578
 
2.5%
지 908
 
1.5%
Other values (625) 30338
48.6%
ASCII
ValueCountFrequency (%)
3635
33.2%
) 1803
16.4%
( 1801
16.4%
1 905
 
8.3%
2 720
 
6.6%
3 348
 
3.2%
4 197
 
1.8%
S 191
 
1.7%
9 149
 
1.4%
5 140
 
1.3%
Other values (52) 1075
 
9.8%
None
ValueCountFrequency (%)
㈜ 42
97.7%
· 1
 
2.3%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
33.3%
Ⅲ 1
33.3%
Ⅱ 1
33.3%

sitepostno
Text

MISSING 

Distinct115
Distinct (%)14.3%
Missing7310
Missing (%)90.1%
Memory size63.5 KiB
2024-04-16T13:12:38.614436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.7751553
Min length4

Characters and Unicode

Total characters4649
Distinct characters21
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)8.4%

Sample

1st row지번우편번호
2nd row51505
3rd row51505
4th row지번우편번호
5th row지번우편번호
ValueCountFrequency (%)
지번우편번호 623
77.4%
39104 6
 
0.7%
58325 6
 
0.7%
27691 5
 
0.6%
31106 4
 
0.5%
50146 3
 
0.4%
48059 3
 
0.4%
54962 3
 
0.4%
41242 3
 
0.4%
27197 3
 
0.4%
Other values (105) 146
 
18.1%
2024-04-16T13:12:39.856996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
번 1246
26.8%
지 623
13.4%
우 623
13.4%
편 623
13.4%
호 623
13.4%
1 130
 
2.8%
2 116
 
2.5%
4 114
 
2.5%
5 107
 
2.3%
3 100
 
2.2%
Other values (11) 344
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3743
80.5%
Decimal Number 904
 
19.4%
Space Separator 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
번 1246
33.3%
지 623
16.6%
우 623
16.6%
편 623
16.6%
호 623
16.6%
업 1
 
< 0.1%
종 1
 
< 0.1%
구 1
 
< 0.1%
분 1
 
< 0.1%
명 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 130
14.4%
2 116
12.8%
4 114
12.6%
5 107
11.8%
3 100
11.1%
7 74
8.2%
6 70
7.7%
9 66
7.3%
8 65
7.2%
0 62
6.9%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3743
80.5%
Common 906
 
19.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 130
14.3%
2 116
12.8%
4 114
12.6%
5 107
11.8%
3 100
11.0%
7 74
8.2%
6 70
7.7%
9 66
7.3%
8 65
7.2%
0 62
6.8%
Hangul
ValueCountFrequency (%)
번 1246
33.3%
지 623
16.6%
우 623
16.6%
편 623
16.6%
호 623
16.6%
업 1
 
< 0.1%
종 1
 
< 0.1%
구 1
 
< 0.1%
분 1
 
< 0.1%
명 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3743
80.5%
ASCII 906
 
19.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
번 1246
33.3%
지 623
16.6%
우 623
16.6%
편 623
16.6%
호 623
16.6%
업 1
 
< 0.1%
종 1
 
< 0.1%
구 1
 
< 0.1%
분 1
 
< 0.1%
명 1
 
< 0.1%
ASCII
ValueCountFrequency (%)
1 130
14.3%
2 116
12.8%
4 114
12.6%
5 107
11.8%
3 100
11.0%
7 74
8.2%
6 70
7.7%
9 66
7.3%
8 65
7.2%
0 62
6.8%

sitewhladdr
Text

MISSING 

Distinct5459
Distinct (%)70.1%
Missing323
Missing (%)4.0%
Memory size63.5 KiB
2024-04-16T13:12:40.791811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length98
Median length72
Mean length26.086114
Min length4

Characters and Unicode

Total characters203263
Distinct characters612
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4191 ?
Unique (%)53.8%

Sample

1st row부산광역시 중구 중앙동5가 70번지
2nd row부산광역시 중구 영주동 73-11번지
3rd row부산광역시 중구 대청동4가 31-17번지
4th row부산광역시 중구 중앙동4가 82-8번지
5th row부산광역시 중구 영주동 556-3외10필지번지
ValueCountFrequency (%)
부산광역시 1571
 
3.7%
경기도 1009
 
2.4%
경상북도 896
 
2.1%
전라북도 767
 
1.8%
충청남도 665
 
1.6%
1호 592
 
1.4%
전라남도 577
 
1.4%
경상남도 431
 
1.0%
충청북도 427
 
1.0%
2호 329
 
0.8%
Other values (9278) 35041
82.8%
2024-04-16T13:12:42.212983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37604
 
18.5%
1 7548
 
3.7%
지 6979
 
3.4%
시 6414
 
3.2%
번 6166
 
3.0%
도 5561
 
2.7%
동 5385
 
2.6%
2 4664
 
2.3%
산 4233
 
2.1%
리 4121
 
2.0%
Other values (602) 114588
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 124108
61.1%
Space Separator 37604
 
18.5%
Decimal Number 35934
 
17.7%
Dash Punctuation 3456
 
1.7%
Other Punctuation 834
 
0.4%
Close Punctuation 484
 
0.2%
Open Punctuation 483
 
0.2%
Uppercase Letter 333
 
0.2%
Lowercase Letter 26
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6979
 
5.6%
시 6414
 
5.2%
번 6166
 
5.0%
도 5561
 
4.5%
동 5385
 
4.3%
산 4233
 
3.4%
리 4121
 
3.3%
구 4035
 
3.3%
광 2932
 
2.4%
호 2701
 
2.2%
Other values (552) 75581
60.9%
Uppercase Letter
ValueCountFrequency (%)
S 52
15.6%
K 32
9.6%
L 30
9.0%
A 28
 
8.4%
C 27
 
8.1%
G 23
 
6.9%
B 22
 
6.6%
E 17
 
5.1%
T 16
 
4.8%
F 16
 
4.8%
Other values (12) 70
21.0%
Decimal Number
ValueCountFrequency (%)
1 7548
21.0%
2 4664
13.0%
3 3881
10.8%
4 3362
9.4%
5 3274
9.1%
0 2913
 
8.1%
6 2837
 
7.9%
7 2577
 
7.2%
8 2450
 
6.8%
9 2428
 
6.8%
Lowercase Letter
ValueCountFrequency (%)
e 11
42.3%
s 5
19.2%
k 3
 
11.5%
o 2
 
7.7%
n 2
 
7.7%
c 1
 
3.8%
y 1
 
3.8%
l 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 812
97.4%
/ 17
 
2.0%
: 3
 
0.4%
. 1
 
0.1%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
37604
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3456
100.0%
Close Punctuation
ValueCountFrequency (%)
) 484
100.0%
Open Punctuation
ValueCountFrequency (%)
( 483
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 124106
61.1%
Common 78795
38.8%
Latin 359
 
0.2%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6979
 
5.6%
시 6414
 
5.2%
번 6166
 
5.0%
도 5561
 
4.5%
동 5385
 
4.3%
산 4233
 
3.4%
리 4121
 
3.3%
구 4035
 
3.3%
광 2932
 
2.4%
호 2701
 
2.2%
Other values (550) 75579
60.9%
Latin
ValueCountFrequency (%)
S 52
14.5%
K 32
 
8.9%
L 30
 
8.4%
A 28
 
7.8%
C 27
 
7.5%
G 23
 
6.4%
B 22
 
6.1%
E 17
 
4.7%
T 16
 
4.5%
F 16
 
4.5%
Other values (20) 96
26.7%
Common
ValueCountFrequency (%)
37604
47.7%
1 7548
 
9.6%
2 4664
 
5.9%
3 3881
 
4.9%
- 3456
 
4.4%
4 3362
 
4.3%
5 3274
 
4.2%
0 2913
 
3.7%
6 2837
 
3.6%
7 2577
 
3.3%
Other values (9) 6679
 
8.5%
Han
ValueCountFrequency (%)
沙 1
33.3%
石 1
33.3%
平 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 124105
61.1%
ASCII 79154
38.9%
CJK 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37604
47.5%
1 7548
 
9.5%
2 4664
 
5.9%
3 3881
 
4.9%
- 3456
 
4.4%
4 3362
 
4.2%
5 3274
 
4.1%
0 2913
 
3.7%
6 2837
 
3.6%
7 2577
 
3.3%
Other values (39) 7038
 
8.9%
Hangul
ValueCountFrequency (%)
지 6979
 
5.6%
시 6414
 
5.2%
번 6166
 
5.0%
도 5561
 
4.5%
동 5385
 
4.3%
산 4233
 
3.4%
리 4121
 
3.3%
구 4035
 
3.3%
광 2932
 
2.4%
호 2701
 
2.2%
Other values (549) 75578
60.9%
CJK
ValueCountFrequency (%)
沙 1
33.3%
石 1
33.3%
平 1
33.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

rdnpostno
Text

MISSING 

Distinct2669
Distinct (%)34.7%
Missing418
Missing (%)5.2%
Memory size63.5 KiB
2024-04-16T13:12:42.848540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0024685
Min length5

Characters and Unicode

Total characters38504
Distinct characters22
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1598 ?
Unique (%)20.8%

Sample

1st row48947
2nd row48947
3rd row48947
4th row48947
5th row48947
ValueCountFrequency (%)
48947 2686
34.9%
28116 27
 
0.4%
39102 26
 
0.3%
39503 24
 
0.3%
39133 18
 
0.2%
39157 16
 
0.2%
31751 15
 
0.2%
51343 14
 
0.2%
39108 14
 
0.2%
17336 14
 
0.2%
Other values (2659) 4843
62.9%
2024-04-16T13:12:43.605134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 7820
20.3%
7 4430
11.5%
9 4388
11.4%
8 4381
11.4%
1 3381
8.8%
5 3276
8.5%
3 3203
8.3%
2 2915
 
7.6%
0 2556
 
6.6%
6 2085
 
5.4%
Other values (12) 69
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 38435
99.8%
Other Letter 69
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
명 10
14.5%
편 9
13.0%
호 9
13.0%
번 9
13.0%
로 9
13.0%
우 9
13.0%
도 9
13.0%
원 1
 
1.4%
동 1
 
1.4%
력 1
 
1.4%
Other values (2) 2
 
2.9%
Decimal Number
ValueCountFrequency (%)
4 7820
20.3%
7 4430
11.5%
9 4388
11.4%
8 4381
11.4%
1 3381
8.8%
5 3276
8.5%
3 3203
8.3%
2 2915
 
7.6%
0 2556
 
6.7%
6 2085
 
5.4%

Most occurring scripts

ValueCountFrequency (%)
Common 38435
99.8%
Hangul 69
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
명 10
14.5%
편 9
13.0%
호 9
13.0%
번 9
13.0%
로 9
13.0%
우 9
13.0%
도 9
13.0%
원 1
 
1.4%
동 1
 
1.4%
력 1
 
1.4%
Other values (2) 2
 
2.9%
Common
ValueCountFrequency (%)
4 7820
20.3%
7 4430
11.5%
9 4388
11.4%
8 4381
11.4%
1 3381
8.8%
5 3276
8.5%
3 3203
8.3%
2 2915
 
7.6%
0 2556
 
6.7%
6 2085
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38435
99.8%
Hangul 69
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 7820
20.3%
7 4430
11.5%
9 4388
11.4%
8 4381
11.4%
1 3381
8.8%
5 3276
8.5%
3 3203
8.3%
2 2915
 
7.6%
0 2556
 
6.7%
6 2085
 
5.4%
Hangul
ValueCountFrequency (%)
명 10
14.5%
편 9
13.0%
호 9
13.0%
번 9
13.0%
로 9
13.0%
우 9
13.0%
도 9
13.0%
원 1
 
1.4%
동 1
 
1.4%
력 1
 
1.4%
Other values (2) 2
 
2.9%

rdnwhladdr
Text

MISSING 

Distinct4394
Distinct (%)69.0%
Missing1749
Missing (%)21.6%
Memory size63.5 KiB
2024-04-16T13:12:44.040940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length54
Mean length28.413289
Min length2

Characters and Unicode

Total characters180879
Distinct characters679
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3352 ?
Unique (%)52.7%

Sample

1st row부산광역시 중구 대청로 153 (중앙동5가)
2nd row부산광역시 중구 중앙대로 120 (중앙동4가)
3rd row부산광역시 중구 중구로 194 (영주동)
4th row부산광역시 중구 보수대로 62 (부평동4가)
5th row부산광역시 중구 보동길 10 (보수동1가)
ValueCountFrequency (%)
부산광역시 1257
 
3.4%
경기도 843
 
2.3%
경상북도 744
 
2.0%
충청남도 530
 
1.4%
전라북도 514
 
1.4%
전라남도 411
 
1.1%
경상남도 390
 
1.1%
충청북도 296
 
0.8%
강원도 253
 
0.7%
구미시 248
 
0.7%
Other values (8740) 31471
85.2%
2024-04-16T13:12:44.742399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30841
 
17.1%
1 6727
 
3.7%
동 5657
 
3.1%
시 5389
 
3.0%
로 4803
 
2.7%
도 4470
 
2.5%
2 4327
 
2.4%
) 3800
 
2.1%
( 3799
 
2.1%
산 3574
 
2.0%
Other values (669) 107492
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107490
59.4%
Space Separator 30841
 
17.1%
Decimal Number 29786
 
16.5%
Close Punctuation 3804
 
2.1%
Open Punctuation 3803
 
2.1%
Other Punctuation 3020
 
1.7%
Dash Punctuation 1781
 
1.0%
Uppercase Letter 315
 
0.2%
Lowercase Letter 26
 
< 0.1%
Math Symbol 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5657
 
5.3%
시 5389
 
5.0%
로 4803
 
4.5%
도 4470
 
4.2%
산 3574
 
3.3%
구 3526
 
3.3%
길 2939
 
2.7%
광 2537
 
2.4%
남 2316
 
2.2%
경 2218
 
2.1%
Other values (614) 70061
65.2%
Uppercase Letter
ValueCountFrequency (%)
S 51
16.2%
A 43
13.7%
K 31
9.8%
L 27
8.6%
C 24
7.6%
B 22
7.0%
G 22
7.0%
I 16
 
5.1%
T 14
 
4.4%
E 12
 
3.8%
Other values (13) 53
16.8%
Decimal Number
ValueCountFrequency (%)
1 6727
22.6%
2 4327
14.5%
0 3531
11.9%
3 3266
11.0%
4 2404
 
8.1%
5 2396
 
8.0%
6 1999
 
6.7%
7 1953
 
6.6%
8 1686
 
5.7%
9 1497
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 11
42.3%
s 5
19.2%
k 3
 
11.5%
o 2
 
7.7%
n 2
 
7.7%
c 1
 
3.8%
y 1
 
3.8%
l 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 3007
99.6%
. 5
 
0.2%
* 4
 
0.1%
/ 2
 
0.1%
· 1
 
< 0.1%
& 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 3800
99.9%
] 4
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 3799
99.9%
[ 4
 
0.1%
Space Separator
ValueCountFrequency (%)
30841
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1781
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 107490
59.4%
Common 73047
40.4%
Latin 341
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5657
 
5.3%
시 5389
 
5.0%
로 4803
 
4.5%
도 4470
 
4.2%
산 3574
 
3.3%
구 3526
 
3.3%
길 2939
 
2.7%
광 2537
 
2.4%
남 2316
 
2.2%
경 2218
 
2.1%
Other values (614) 70061
65.2%
Latin
ValueCountFrequency (%)
S 51
15.0%
A 43
12.6%
K 31
 
9.1%
L 27
 
7.9%
C 24
 
7.0%
B 22
 
6.5%
G 22
 
6.5%
I 16
 
4.7%
T 14
 
4.1%
E 12
 
3.5%
Other values (21) 79
23.2%
Common
ValueCountFrequency (%)
30841
42.2%
1 6727
 
9.2%
2 4327
 
5.9%
) 3800
 
5.2%
( 3799
 
5.2%
0 3531
 
4.8%
3 3266
 
4.5%
, 3007
 
4.1%
4 2404
 
3.3%
5 2396
 
3.3%
Other values (13) 8949
 
12.3%
Han
ValueCountFrequency (%)
石 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 107489
59.4%
ASCII 73387
40.6%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30841
42.0%
1 6727
 
9.2%
2 4327
 
5.9%
) 3800
 
5.2%
( 3799
 
5.2%
0 3531
 
4.8%
3 3266
 
4.5%
, 3007
 
4.1%
4 2404
 
3.3%
5 2396
 
3.3%
Other values (43) 9289
 
12.7%
Hangul
ValueCountFrequency (%)
동 5657
 
5.3%
시 5389
 
5.0%
로 4803
 
4.5%
도 4470
 
4.2%
산 3574
 
3.3%
구 3526
 
3.3%
길 2939
 
2.7%
광 2537
 
2.4%
남 2316
 
2.2%
경 2218
 
2.1%
Other values (613) 70060
65.2%
None
ValueCountFrequency (%)
㈜ 1
50.0%
· 1
50.0%
CJK
ValueCountFrequency (%)
石 1
100.0%

apvpermymd
Text

MISSING 

Distinct1664
Distinct (%)21.3%
Missing301
Missing (%)3.7%
Memory size63.5 KiB
2024-04-16T13:12:45.200198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.999872
Min length7

Characters and Unicode

Total characters62511
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1001 ?
Unique (%)12.8%

Sample

1st row19870812
2nd row19710722
3rd row19710924
4th row19760503
5th row19760513
ValueCountFrequency (%)
20190503 51
 
0.7%
20190408 46
 
0.6%
19760513 44
 
0.6%
20191115 43
 
0.6%
20200225 42
 
0.5%
20200117 40
 
0.5%
20200228 39
 
0.5%
20181130 39
 
0.5%
20190524 39
 
0.5%
20190329 38
 
0.5%
Other values (1654) 7393
94.6%
2024-04-16T13:12:45.856838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18896
30.2%
2 14431
23.1%
1 12600
20.2%
9 5850
 
9.4%
8 2195
 
3.5%
3 2106
 
3.4%
7 1753
 
2.8%
4 1623
 
2.6%
5 1562
 
2.5%
6 1483
 
2.4%
Other values (8) 12
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 62499
> 99.9%
Other Letter 7
 
< 0.1%
Space Separator 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18896
30.2%
2 14431
23.1%
1 12600
20.2%
9 5850
 
9.4%
8 2195
 
3.5%
3 2106
 
3.4%
7 1753
 
2.8%
4 1623
 
2.6%
5 1562
 
2.5%
6 1483
 
2.4%
Other Letter
ValueCountFrequency (%)
윤 1
14.3%
전 1
14.3%
기 1
14.3%
생 1
14.3%
산 1
14.3%
시 1
14.3%
설 1
14.3%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 62504
> 99.9%
Hangul 7
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 18896
30.2%
2 14431
23.1%
1 12600
20.2%
9 5850
 
9.4%
8 2195
 
3.5%
3 2106
 
3.4%
7 1753
 
2.8%
4 1623
 
2.6%
5 1562
 
2.5%
6 1483
 
2.4%
Hangul
ValueCountFrequency (%)
윤 1
14.3%
전 1
14.3%
기 1
14.3%
생 1
14.3%
산 1
14.3%
시 1
14.3%
설 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 62504
> 99.9%
Hangul 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18896
30.2%
2 14431
23.1%
1 12600
20.2%
9 5850
 
9.4%
8 2195
 
3.5%
3 2106
 
3.4%
7 1753
 
2.8%
4 1623
 
2.6%
5 1562
 
2.5%
6 1483
 
2.4%
Hangul
ValueCountFrequency (%)
윤 1
14.3%
전 1
14.3%
기 1
14.3%
생 1
14.3%
산 1
14.3%
시 1
14.3%
설 1
14.3%

dcbymd
Text

MISSING 

Distinct411
Distinct (%)36.1%
Missing6978
Missing (%)86.0%
Memory size63.5 KiB
2024-04-16T13:12:46.482205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length5.7510994
Min length3

Characters and Unicode

Total characters6539
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique360 ?
Unique (%)31.7%

Sample

1st row20080506
2nd row20160616
3rd row20151126
4th row20101230
5th row20081107
ValueCountFrequency (%)
폐업일자 638
56.1%
20111114 11
 
1.0%
20111031 10
 
0.9%
20120510 10
 
0.9%
20120511 8
 
0.7%
20200228 6
 
0.5%
20120508 3
 
0.3%
20051125 3
 
0.3%
20201104 3
 
0.3%
20120308 3
 
0.3%
Other values (401) 442
38.9%
2024-04-16T13:12:47.079370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1319
20.2%
2 876
13.4%
1 814
12.4%
자 639
9.8%
폐 638
9.8%
업 638
9.8%
일 638
9.8%
3 178
 
2.7%
8 159
 
2.4%
5 141
 
2.2%
Other values (6) 499
 
7.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3984
60.9%
Other Letter 2555
39.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1319
33.1%
2 876
22.0%
1 814
20.4%
3 178
 
4.5%
8 159
 
4.0%
5 141
 
3.5%
4 140
 
3.5%
9 125
 
3.1%
7 119
 
3.0%
6 113
 
2.8%
Other Letter
ValueCountFrequency (%)
자 639
25.0%
폐 638
25.0%
업 638
25.0%
일 638
25.0%
본 1
 
< 0.1%
금 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 3984
60.9%
Hangul 2555
39.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1319
33.1%
2 876
22.0%
1 814
20.4%
3 178
 
4.5%
8 159
 
4.0%
5 141
 
3.5%
4 140
 
3.5%
9 125
 
3.1%
7 119
 
3.0%
6 113
 
2.8%
Hangul
ValueCountFrequency (%)
자 639
25.0%
폐 638
25.0%
업 638
25.0%
일 638
25.0%
본 1
 
< 0.1%
금 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3984
60.9%
Hangul 2555
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1319
33.1%
2 876
22.0%
1 814
20.4%
3 178
 
4.5%
8 159
 
4.0%
5 141
 
3.5%
4 140
 
3.5%
9 125
 
3.1%
7 119
 
3.0%
6 113
 
2.8%
Hangul
ValueCountFrequency (%)
자 639
25.0%
폐 638
25.0%
업 638
25.0%
일 638
25.0%
본 1
 
< 0.1%
금 1
 
< 0.1%

clgstdt
Text

MISSING 

Distinct128
Distinct (%)16.7%
Missing7347
Missing (%)90.5%
Memory size63.5 KiB
2024-04-16T13:12:47.522631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.3411458
Min length6

Characters and Unicode

Total characters4870
Distinct characters22
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)15.9%

Sample

1st row20120501
2nd row20121101
3rd row20141121
4th row20141120
5th row20130121
ValueCountFrequency (%)
휴업시작일자 636
82.8%
20130301 2
 
0.3%
20140701 2
 
0.3%
20110101 2
 
0.3%
20200911 2
 
0.3%
20100301 2
 
0.3%
20170210 1
 
0.1%
20110517 1
 
0.1%
20141230 1
 
0.1%
20150701 1
 
0.1%
Other values (118) 118
 
15.4%
2024-04-16T13:12:48.146409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
휴 636
13.1%
업 636
13.1%
시 636
13.1%
작 636
13.1%
일 636
13.1%
자 636
13.1%
0 336
6.9%
1 263
5.4%
2 224
 
4.6%
3 46
 
0.9%
Other values (12) 185
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3822
78.5%
Decimal Number 1048
 
21.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
휴 636
16.6%
업 636
16.6%
시 636
16.6%
작 636
16.6%
일 636
16.6%
자 636
16.6%
저 1
 
< 0.1%
장 1
 
< 0.1%
설 1
 
< 0.1%
비 1
 
< 0.1%
Other values (2) 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 336
32.1%
1 263
25.1%
2 224
21.4%
3 46
 
4.4%
7 39
 
3.7%
4 35
 
3.3%
9 32
 
3.1%
5 28
 
2.7%
6 25
 
2.4%
8 20
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3822
78.5%
Common 1048
 
21.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
휴 636
16.6%
업 636
16.6%
시 636
16.6%
작 636
16.6%
일 636
16.6%
자 636
16.6%
저 1
 
< 0.1%
장 1
 
< 0.1%
설 1
 
< 0.1%
비 1
 
< 0.1%
Other values (2) 2
 
0.1%
Common
ValueCountFrequency (%)
0 336
32.1%
1 263
25.1%
2 224
21.4%
3 46
 
4.4%
7 39
 
3.7%
4 35
 
3.3%
9 32
 
3.1%
5 28
 
2.7%
6 25
 
2.4%
8 20
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3822
78.5%
ASCII 1048
 
21.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
휴 636
16.6%
업 636
16.6%
시 636
16.6%
작 636
16.6%
일 636
16.6%
자 636
16.6%
저 1
 
< 0.1%
장 1
 
< 0.1%
설 1
 
< 0.1%
비 1
 
< 0.1%
Other values (2) 2
 
0.1%
ASCII
ValueCountFrequency (%)
0 336
32.1%
1 263
25.1%
2 224
21.4%
3 46
 
4.4%
7 39
 
3.7%
4 35
 
3.3%
9 32
 
3.1%
5 28
 
2.7%
6 25
 
2.4%
8 20
 
1.9%

clgenddt
Text

MISSING 

Distinct116
Distinct (%)15.1%
Missing7347
Missing (%)90.5%
Memory size63.5 KiB
2024-04-16T13:12:48.557931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.3398438
Min length5

Characters and Unicode

Total characters4869
Distinct characters21
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)13.0%

Sample

1st row20121231
2nd row20121130
3rd row20150228
4th row20150920
5th row20140120
ValueCountFrequency (%)
휴업종료일자 636
82.8%
20120430 3
 
0.4%
20131231 3
 
0.4%
20201231 2
 
0.3%
20150630 2
 
0.3%
20170630 2
 
0.3%
20140930 2
 
0.3%
20131130 2
 
0.3%
20160630 2
 
0.3%
20151231 2
 
0.3%
Other values (106) 112
 
14.6%
2024-04-16T13:12:49.227562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
휴 636
13.1%
종 636
13.1%
료 636
13.1%
일 636
13.1%
자 636
13.1%
업 636
13.1%
0 313
6.4%
1 250
 
5.1%
2 213
 
4.4%
3 100
 
2.1%
Other values (11) 177
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3821
78.5%
Decimal Number 1048
 
21.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
휴 636
16.6%
종 636
16.6%
료 636
16.6%
일 636
16.6%
자 636
16.6%
업 636
16.6%
저 1
 
< 0.1%
탄 1
 
< 0.1%
장 1
 
< 0.1%
면 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 313
29.9%
1 250
23.9%
2 213
20.3%
3 100
 
9.5%
5 38
 
3.6%
8 33
 
3.1%
4 28
 
2.7%
6 26
 
2.5%
9 25
 
2.4%
7 22
 
2.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3821
78.5%
Common 1048
 
21.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
휴 636
16.6%
종 636
16.6%
료 636
16.6%
일 636
16.6%
자 636
16.6%
업 636
16.6%
저 1
 
< 0.1%
탄 1
 
< 0.1%
장 1
 
< 0.1%
면 1
 
< 0.1%
Common
ValueCountFrequency (%)
0 313
29.9%
1 250
23.9%
2 213
20.3%
3 100
 
9.5%
5 38
 
3.6%
8 33
 
3.1%
4 28
 
2.7%
6 26
 
2.5%
9 25
 
2.4%
7 22
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3821
78.5%
ASCII 1048
 
21.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
휴 636
16.6%
종 636
16.6%
료 636
16.6%
일 636
16.6%
자 636
16.6%
업 636
16.6%
저 1
 
< 0.1%
탄 1
 
< 0.1%
장 1
 
< 0.1%
면 1
 
< 0.1%
ASCII
ValueCountFrequency (%)
0 313
29.9%
1 250
23.9%
2 213
20.3%
3 100
 
9.5%
5 38
 
3.6%
8 33
 
3.1%
4 28
 
2.7%
6 26
 
2.5%
9 25
 
2.4%
7 22
 
2.1%

ropnymd
Text

MISSING 

Distinct75
Distinct (%)10.5%
Missing7402
Missing (%)91.2%
Memory size63.5 KiB
2024-04-16T13:12:49.588218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.315568
Min length5

Characters and Unicode

Total characters3790
Distinct characters22
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)10.2%

Sample

1st row20130204
2nd row20121227
3rd row20120806
4th row20140925
5th row20150302
ValueCountFrequency (%)
재개업일자 638
89.5%
20131101 2
 
0.3%
20201123 1
 
0.1%
20210125 1
 
0.1%
20171103 1
 
0.1%
20160630 1
 
0.1%
20111216 1
 
0.1%
20150527 1
 
0.1%
20121120 1
 
0.1%
20130423 1
 
0.1%
Other values (65) 65
 
9.1%
2024-04-16T13:12:50.254010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 639
16.9%
재 638
16.8%
일 638
16.8%
자 638
16.8%
개 638
16.8%
0 172
 
4.5%
1 156
 
4.1%
2 129
 
3.4%
3 31
 
0.8%
5 22
 
0.6%
Other values (12) 89
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3198
84.4%
Decimal Number 592
 
15.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 639
20.0%
재 638
19.9%
일 638
19.9%
자 638
19.9%
개 638
19.9%
전 1
 
< 0.1%
기 1
 
< 0.1%
사 1
 
< 0.1%
허 1
 
< 0.1%
가 1
 
< 0.1%
Other values (2) 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 172
29.1%
1 156
26.4%
2 129
21.8%
3 31
 
5.2%
5 22
 
3.7%
7 22
 
3.7%
6 22
 
3.7%
4 13
 
2.2%
9 13
 
2.2%
8 12
 
2.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3198
84.4%
Common 592
 
15.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 639
20.0%
재 638
19.9%
일 638
19.9%
자 638
19.9%
개 638
19.9%
전 1
 
< 0.1%
기 1
 
< 0.1%
사 1
 
< 0.1%
허 1
 
< 0.1%
가 1
 
< 0.1%
Other values (2) 2
 
0.1%
Common
ValueCountFrequency (%)
0 172
29.1%
1 156
26.4%
2 129
21.8%
3 31
 
5.2%
5 22
 
3.7%
7 22
 
3.7%
6 22
 
3.7%
4 13
 
2.2%
9 13
 
2.2%
8 12
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3198
84.4%
ASCII 592
 
15.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 639
20.0%
재 638
19.9%
일 638
19.9%
자 638
19.9%
개 638
19.9%
전 1
 
< 0.1%
기 1
 
< 0.1%
사 1
 
< 0.1%
허 1
 
< 0.1%
가 1
 
< 0.1%
Other values (2) 2
 
0.1%
ASCII
ValueCountFrequency (%)
0 172
29.1%
1 156
26.4%
2 129
21.8%
3 31
 
5.2%
5 22
 
3.7%
7 22
 
3.7%
6 22
 
3.7%
4 13
 
2.2%
9 13
 
2.2%
8 12
 
2.0%

trdstatenm
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
영업/정상
6122 
03
728 
01
 
396
<NA>
 
381
07
 
202
Other values (8)
 
286

Length

Max length8
Median length5
Mean length4.3653728
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row01
2nd row03
3rd row03
4th row03
5th row01

Common Values

ValueCountFrequency (%)
영업/정상 6122
75.4%
03 728
 
9.0%
01 396
 
4.9%
<NA> 381
 
4.7%
07 202
 
2.5%
휴업 160
 
2.0%
06 49
 
0.6%
폐업 32
 
0.4%
02 17
 
0.2%
05 11
 
0.1%
Other values (3) 17
 
0.2%

Length

2024-04-16T13:12:50.481260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
영업/정상 6122
75.4%
03 728
 
9.0%
01 396
 
4.9%
na 381
 
4.7%
07 202
 
2.5%
휴업 160
 
2.0%
06 49
 
0.6%
폐업 32
 
0.4%
02 17
 
0.2%
05 11
 
0.1%
Other values (3) 17
 
0.2%

dtlstatenm
Categorical

IMBALANCE 

Distinct22
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
인허가
4563 
영업중
1072 
폐지
731 
<NA>
631 
신규등록
468 
Other values (17)
650 

Length

Max length7
Median length3
Mean length3.136414
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row신규등록
2nd row폐지
3rd row폐지
4th row폐지
5th row신규등록

Common Values

ValueCountFrequency (%)
인허가 4563
56.2%
영업중 1072
 
13.2%
폐지 731
 
9.0%
<NA> 631
 
7.8%
신규등록 468
 
5.8%
영업개시 249
 
3.1%
휴업처리 171
 
2.1%
휴지사업재개 49
 
0.6%
상세영업상태명 45
 
0.6%
휴업 31
 
0.4%
Other values (12) 105
 
1.3%

Length

2024-04-16T13:12:50.686202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인허가 4563
56.2%
영업중 1072
 
13.2%
폐지 731
 
9.0%
na 631
 
7.8%
신규등록 468
 
5.8%
영업개시 249
 
3.1%
휴업처리 171
 
2.1%
휴지사업재개 49
 
0.6%
상세영업상태명 45
 
0.6%
휴업 31
 
0.4%
Other values (12) 105
 
1.3%

x
Text

MISSING 

Distinct4634
Distinct (%)66.6%
Missing1162
Missing (%)14.3%
Memory size63.5 KiB
2024-04-16T13:12:50.987099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.900618
Min length5

Characters and Unicode

Total characters138369
Distinct characters25
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3439 ?
Unique (%)49.5%

Sample

1st row385717.11248000000
2nd row385732.61555200000
3rd row385535.93263200000
4th row384385.56369900000
5th row384822.48508100000
ValueCountFrequency (%)
좌표정보(x 52
 
0.7%
299622.970745465 24
 
0.3%
238388.54487 20
 
0.3%
179873.526262 15
 
0.2%
327053.528825968 15
 
0.2%
346656.017544079 12
 
0.2%
232186.359372 12
 
0.2%
204522.54328977 11
 
0.2%
298684.641133084 11
 
0.2%
409894.192102297 10
 
0.1%
Other values (4624) 6771
97.4%
2024-04-16T13:12:51.499253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34678
25.1%
0 13838
 
10.0%
2 10672
 
7.7%
1 10469
 
7.6%
3 10446
 
7.5%
8 9402
 
6.8%
9 8819
 
6.4%
4 8360
 
6.0%
6 8313
 
6.0%
7 8165
 
5.9%
Other values (15) 15207
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 96494
69.7%
Space Separator 34678
 
25.1%
Other Punctuation 6822
 
4.9%
Other Letter 213
 
0.2%
Close Punctuation 52
 
< 0.1%
Uppercase Letter 52
 
< 0.1%
Open Punctuation 52
 
< 0.1%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13838
14.3%
2 10672
11.1%
1 10469
10.8%
3 10446
10.8%
8 9402
9.7%
9 8819
9.1%
4 8360
8.7%
6 8313
8.6%
7 8165
8.5%
5 8010
8.3%
Other Letter
ValueCountFrequency (%)
좌 52
24.4%
표 52
24.4%
보 52
24.4%
정 52
24.4%
차 1
 
0.5%
고 1
 
0.5%
지 1
 
0.5%
면 1
 
0.5%
적 1
 
0.5%
Space Separator
ValueCountFrequency (%)
34678
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6822
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 138104
99.8%
Hangul 213
 
0.2%
Latin 52
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
34678
25.1%
0 13838
 
10.0%
2 10672
 
7.7%
1 10469
 
7.6%
3 10446
 
7.6%
8 9402
 
6.8%
9 8819
 
6.4%
4 8360
 
6.1%
6 8313
 
6.0%
7 8165
 
5.9%
Other values (5) 14942
10.8%
Hangul
ValueCountFrequency (%)
좌 52
24.4%
표 52
24.4%
보 52
24.4%
정 52
24.4%
차 1
 
0.5%
고 1
 
0.5%
지 1
 
0.5%
면 1
 
0.5%
적 1
 
0.5%
Latin
ValueCountFrequency (%)
X 52
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 138156
99.8%
Hangul 213
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34678
25.1%
0 13838
 
10.0%
2 10672
 
7.7%
1 10469
 
7.6%
3 10446
 
7.6%
8 9402
 
6.8%
9 8819
 
6.4%
4 8360
 
6.1%
6 8313
 
6.0%
7 8165
 
5.9%
Other values (6) 14994
10.9%
Hangul
ValueCountFrequency (%)
좌 52
24.4%
표 52
24.4%
보 52
24.4%
정 52
24.4%
차 1
 
0.5%
고 1
 
0.5%
지 1
 
0.5%
면 1
 
0.5%
적 1
 
0.5%

y
Text

MISSING 

Distinct4634
Distinct (%)66.6%
Missing1162
Missing (%)14.3%
Memory size63.5 KiB
2024-04-16T13:12:51.758243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.90105
Min length7

Characters and Unicode

Total characters138372
Distinct characters29
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3439 ?
Unique (%)49.5%

Sample

1st row180436.91578300000
2nd row180996.84119400000
3rd row181386.83062300000
4th row180259.73166600000
5th row180570.89765900000
ValueCountFrequency (%)
좌표정보(y 52
 
0.7%
300778.852158895 24
 
0.3%
357929.966065 20
 
0.3%
370724.079633 15
 
0.2%
296621.739671147 15
 
0.2%
191751.49195202 12
 
0.2%
320321.7056 12
 
0.2%
391621.183962357 11
 
0.2%
292142.034089439 11
 
0.2%
228285.022474076 10
 
0.1%
Other values (4624) 6771
97.4%
2024-04-16T13:12:52.524199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34598
25.0%
0 13366
 
9.7%
1 10377
 
7.5%
2 10114
 
7.3%
4 9662
 
7.0%
3 9626
 
7.0%
8 9177
 
6.6%
9 8748
 
6.3%
5 8558
 
6.2%
6 8499
 
6.1%
Other values (19) 15647
11.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 96510
69.7%
Space Separator 34598
 
25.0%
Other Punctuation 6822
 
4.9%
Other Letter 216
 
0.2%
Close Punctuation 94
 
0.1%
Uppercase Letter 52
 
< 0.1%
Open Punctuation 52
 
< 0.1%
Dash Punctuation 28
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
표 52
24.1%
좌 52
24.1%
보 52
24.1%
정 52
24.1%
철 1
 
0.5%
도 1
 
0.5%
인 1
 
0.5%
입 1
 
0.5%
선 1
 
0.5%
유 1
 
0.5%
Other values (2) 2
 
0.9%
Decimal Number
ValueCountFrequency (%)
0 13366
13.8%
1 10377
10.8%
2 10114
10.5%
4 9662
10.0%
3 9626
10.0%
8 9177
9.5%
9 8748
9.1%
5 8558
8.9%
6 8499
8.8%
7 8383
8.7%
Close Punctuation
ValueCountFrequency (%)
) 52
55.3%
] 42
44.7%
Space Separator
ValueCountFrequency (%)
34598
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6822
100.0%
Uppercase Letter
ValueCountFrequency (%)
Y 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 138104
99.8%
Hangul 216
 
0.2%
Latin 52
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
34598
25.1%
0 13366
 
9.7%
1 10377
 
7.5%
2 10114
 
7.3%
4 9662
 
7.0%
3 9626
 
7.0%
8 9177
 
6.6%
9 8748
 
6.3%
5 8558
 
6.2%
6 8499
 
6.2%
Other values (6) 15379
11.1%
Hangul
ValueCountFrequency (%)
표 52
24.1%
좌 52
24.1%
보 52
24.1%
정 52
24.1%
철 1
 
0.5%
도 1
 
0.5%
인 1
 
0.5%
입 1
 
0.5%
선 1
 
0.5%
유 1
 
0.5%
Other values (2) 2
 
0.9%
Latin
ValueCountFrequency (%)
Y 52
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 138156
99.8%
Hangul 216
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34598
25.0%
0 13366
 
9.7%
1 10377
 
7.5%
2 10114
 
7.3%
4 9662
 
7.0%
3 9626
 
7.0%
8 9177
 
6.6%
9 8748
 
6.3%
5 8558
 
6.2%
6 8499
 
6.2%
Other values (7) 15431
11.2%
Hangul
ValueCountFrequency (%)
표 52
24.1%
좌 52
24.1%
보 52
24.1%
정 52
24.1%
철 1
 
0.5%
도 1
 
0.5%
인 1
 
0.5%
입 1
 
0.5%
선 1
 
0.5%
유 1
 
0.5%
Other values (2) 2
 
0.9%

lastmodts
Text

MISSING 

Distinct6295
Distinct (%)80.6%
Missing301
Missing (%)3.7%
Memory size63.5 KiB
2024-04-16T13:12:53.104735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.998976
Min length6

Characters and Unicode

Total characters109388
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5369 ?
Unique (%)68.7%

Sample

1st row20171121112913
2nd row20091126141034
3rd row20080506160124
4th row20160616152334
5th row20171121112951
ValueCountFrequency (%)
20031106000000 6
 
0.1%
20000810000000 5
 
0.1%
20060123000000 5
 
0.1%
20190322163448 3
 
< 0.1%
20191129180412 3
 
< 0.1%
20191206112239 3
 
< 0.1%
20191025100040 3
 
< 0.1%
20191129104531 3
 
< 0.1%
20190322163411 3
 
< 0.1%
20190322163435 3
 
< 0.1%
Other values (6285) 7777
99.5%
2024-04-16T13:12:53.922834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26205
24.0%
1 24305
22.2%
2 20568
18.8%
9 6509
 
6.0%
3 6469
 
5.9%
5 6411
 
5.9%
4 6260
 
5.7%
8 4444
 
4.1%
7 4400
 
4.0%
6 3811
 
3.5%
Other values (6) 6
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 109382
> 99.9%
Other Letter 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26205
24.0%
1 24305
22.2%
2 20568
18.8%
9 6509
 
6.0%
3 6469
 
5.9%
5 6411
 
5.9%
4 6260
 
5.7%
8 4444
 
4.1%
7 4400
 
4.0%
6 3811
 
3.5%
Other Letter
ValueCountFrequency (%)
취 1
16.7%
급 1
16.7%
가 1
16.7%
스 1
16.7%
용 1
16.7%
량 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Common 109382
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26205
24.0%
1 24305
22.2%
2 20568
18.8%
9 6509
 
6.0%
3 6469
 
5.9%
5 6411
 
5.9%
4 6260
 
5.7%
8 4444
 
4.1%
7 4400
 
4.0%
6 3811
 
3.5%
Hangul
ValueCountFrequency (%)
취 1
16.7%
급 1
16.7%
가 1
16.7%
스 1
16.7%
용 1
16.7%
량 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 109382
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26205
24.0%
1 24305
22.2%
2 20568
18.8%
9 6509
 
6.0%
3 6469
 
5.9%
5 6411
 
5.9%
4 6260
 
5.7%
8 4444
 
4.1%
7 4400
 
4.0%
6 3811
 
3.5%
Hangul
ValueCountFrequency (%)
취 1
16.7%
급 1
16.7%
가 1
16.7%
스 1
16.7%
용 1
16.7%
량 1
16.7%

uptaenm
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
4971 
제조
816 
일반판매소
759 
주유소
678 
업태구분명
539 
Other values (10)
 
352

Length

Max length19
Median length4
Mean length3.893777
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row주유소
2nd row일반판매소
3rd row일반판매소
4th row주유소
5th row주유소

Common Values

ValueCountFrequency (%)
<NA> 4971
61.3%
제조 816
 
10.1%
일반판매소 759
 
9.4%
주유소 678
 
8.4%
업태구분명 539
 
6.6%
저장소 141
 
1.7%
판매 80
 
1.0%
용제판매소 73
 
0.9%
일반대리점 22
 
0.3%
2021-02-01 05:14:04 14
 
0.2%
Other values (5) 22
 
0.3%

Length

2024-04-16T13:12:54.253791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4971
61.1%
제조 816
 
10.0%
일반판매소 759
 
9.3%
주유소 678
 
8.3%
업태구분명 539
 
6.6%
저장소 141
 
1.7%
판매 80
 
1.0%
용제판매소 73
 
0.9%
일반대리점 22
 
0.3%
2021-02-01 21
 
0.3%
Other values (6) 36
 
0.4%

sitetel
Text

MISSING 

Distinct74
Distinct (%)1.0%
Missing864
Missing (%)10.6%
Memory size63.5 KiB
2024-04-16T13:12:54.651803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.903875
Min length4

Characters and Unicode

Total characters86315
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)0.6%

Sample

1st row051-123-1234
2nd row051-123-1234
3rd row051-123-1234
4th row051-123-1234
5th row051-123-1234
ValueCountFrequency (%)
051-123-1234 7084
97.3%
전화번호 68
 
0.9%
06300000000 3
 
< 0.1%
0413574277 3
 
< 0.1%
055 3
 
< 0.1%
054 3
 
< 0.1%
064 2
 
< 0.1%
04300000000 2
 
< 0.1%
0547770104 2
 
< 0.1%
0417352600 2
 
< 0.1%
Other values (85) 111
 
1.5%
2024-04-16T13:12:55.934569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 21331
24.7%
3 14294
16.6%
2 14276
16.5%
- 14185
16.4%
0 7282
 
8.4%
5 7185
 
8.3%
4 7184
 
8.3%
6 92
 
0.1%
7 76
 
0.1%
전 68
 
0.1%
Other values (6) 342
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 71826
83.2%
Dash Punctuation 14185
 
16.4%
Other Letter 272
 
0.3%
Space Separator 32
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 21331
29.7%
3 14294
19.9%
2 14276
19.9%
0 7282
 
10.1%
5 7185
 
10.0%
4 7184
 
10.0%
6 92
 
0.1%
7 76
 
0.1%
9 54
 
0.1%
8 52
 
0.1%
Other Letter
ValueCountFrequency (%)
전 68
25.0%
화 68
25.0%
번 68
25.0%
호 68
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 14185
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 86043
99.7%
Hangul 272
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 21331
24.8%
3 14294
16.6%
2 14276
16.6%
- 14185
16.5%
0 7282
 
8.5%
5 7185
 
8.4%
4 7184
 
8.3%
6 92
 
0.1%
7 76
 
0.1%
9 54
 
0.1%
Other values (2) 84
 
0.1%
Hangul
ValueCountFrequency (%)
전 68
25.0%
화 68
25.0%
번 68
25.0%
호 68
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 86043
99.7%
Hangul 272
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 21331
24.8%
3 14294
16.6%
2 14276
16.6%
- 14185
16.5%
0 7282
 
8.5%
5 7185
 
8.4%
4 7184
 
8.3%
6 92
 
0.1%
7 76
 
0.1%
9 54
 
0.1%
Other values (2) 84
 
0.1%
Hangul
ValueCountFrequency (%)
전 68
25.0%
화 68
25.0%
번 68
25.0%
호 68
25.0%

gaspdtsortnm
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7477 
가스용품종류명
 
638

Length

Max length7
Median length4
Mean length4.2358595
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7477
92.1%
가스용품종류명 638
 
7.9%

Length

2024-04-16T13:12:56.178870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:12:56.383942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7477
92.1%
가스용품종류명 638
 
7.9%

gassortnm
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7477 
가스종류명
 
638

Length

Max length5
Median length4
Mean length4.0786198
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7477
92.1%
가스종류명 638
 
7.9%

Length

2024-04-16T13:12:56.626163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:12:56.831124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7477
92.1%
가스종류명 638
 
7.9%

upchnm
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7454 
거래처
 
637
기타
 
21
GS칼텍스
 
1
(주)월산에너지
 
1

Length

Max length19
Median length4
Mean length3.9187924
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7454
91.9%
거래처 637
 
7.8%
기타 21
 
0.3%
GS칼텍스 1
 
< 0.1%
(주)월산에너지 1
 
< 0.1%
한화토탈(1호), LP,롯데(2호) 1
 
< 0.1%

Length

2024-04-16T13:12:57.043316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:12:57.301219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7454
91.8%
거래처 637
 
7.8%
기타 21
 
0.3%
gs칼텍스 1
 
< 0.1%
주)월산에너지 1
 
< 0.1%
한화토탈(1호 1
 
< 0.1%
lp,롯데(2호 1
 
< 0.1%

suprulesctn
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7477 
공급규정내용
 
638

Length

Max length6
Median length4
Mean length4.1572397
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7477
92.1%
공급규정내용 638
 
7.9%

Length

2024-04-16T13:12:57.571080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:12:57.821762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7477
92.1%
공급규정내용 638
 
7.9%

spyvolt
Categorical

IMBALANCE 

Distinct21
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
380
3923 
<NA>
3493 
공급전압
 
197
22,900
 
166
22900
 
111
Other values (16)
 
225

Length

Max length10
Median length9
Mean length3.6264941
Min length3

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
380 3923
48.3%
<NA> 3493
43.0%
공급전압 197
 
2.4%
22,900 166
 
2.0%
22900 111
 
1.4%
220/380 108
 
1.3%
220 52
 
0.6%
220-380 22
 
0.3%
154,000 16
 
0.2%
380/220 9
 
0.1%
Other values (11) 18
 
0.2%

Length

2024-04-16T13:12:58.066369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
380 3926
48.4%
na 3493
43.0%
공급전압 197
 
2.4%
22,900 166
 
2.0%
22900 111
 
1.4%
220/380 108
 
1.3%
220 52
 
0.6%
220-380 22
 
0.3%
154,000 16
 
0.2%
380/220 9
 
0.1%
Other values (10) 15
 
0.2%

ltchgcn
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7477 
길이변경내용
 
638

Length

Max length6
Median length4
Mean length4.1572397
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7477
92.1%
길이변경내용 638
 
7.9%

Length

2024-04-16T13:12:58.311354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:12:58.516114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7477
92.1%
길이변경내용 638
 
7.9%

exmran
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7477 
면제범위
 
638

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7477
92.1%
면제범위 638
 
7.9%

Length

2024-04-16T13:12:58.710499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:12:58.932588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7477
92.1%
면제범위 638
 
7.9%

prdsiz
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7477 
물품규격
 
638

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7477
92.1%
물품규격 638
 
7.9%

Length

2024-04-16T13:12:59.140761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:12:59.357983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7477
92.1%
물품규격 638
 
7.9%

baelt
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7477 
배관길이
 
638

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7477
92.1%
배관길이 638
 
7.9%

Length

2024-04-16T13:12:59.528901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:12:59.714640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7477
92.1%
배관길이 638
 
7.9%

baeesbplc
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7477 
배관설치장소
 
638

Length

Max length6
Median length4
Mean length4.1572397
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7477
92.1%
배관설치장소 638
 
7.9%

Length

2024-04-16T13:12:59.949017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:00.211096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7477
92.1%
배관설치장소 638
 
7.9%

offtelno
Categorical

IMBALANCE 

Distinct37
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
051-123-1234
7084 
<NA>
918 
사무소전화번호
 
72
0413574277
 
3
054 762 2255
 
2
Other values (32)
 
36

Length

Max length12
Median length12
Mean length11.0435
Min length4

Unique

Unique28 ?
Unique (%)0.3%

Sample

1st row051-123-1234
2nd row051-123-1234
3rd row051-123-1234
4th row051-123-1234
5th row051-123-1234

Common Values

ValueCountFrequency (%)
051-123-1234 7084
87.3%
<NA> 918
 
11.3%
사무소전화번호 72
 
0.9%
0413574277 3
 
< 0.1%
054 762 2255 2
 
< 0.1%
031654 0385 2
 
< 0.1%
0648055525 2
 
< 0.1%
064 733 9503 2
 
< 0.1%
2611234 2
 
< 0.1%
054 932 2223 1
 
< 0.1%
Other values (27) 27
 
0.3%

Length

2024-04-16T13:13:00.489761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
051-123-1234 7084
87.0%
na 918
 
11.3%
사무소전화번호 72
 
0.9%
054 3
 
< 0.1%
055 3
 
< 0.1%
0413574277 3
 
< 0.1%
762 2
 
< 0.1%
9503 2
 
< 0.1%
031 2
 
< 0.1%
2255 2
 
< 0.1%
Other values (49) 56
 
0.7%

ofear
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7473 
사무실면적
 
638
0
 
4

Length

Max length5
Median length4
Mean length4.0771411
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7473
92.1%
사무실면적 638
 
7.9%
0 4
 
< 0.1%

Length

2024-04-16T13:13:00.821462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:01.091592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7473
92.1%
사무실면적 638
 
7.9%
0 4
 
< 0.1%

bsnsopeningprearrymd
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7477 
사업개시예정일자
 
638

Length

Max length8
Median length4
Mean length4.3144794
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7477
92.1%
사업개시예정일자 638
 
7.9%

Length

2024-04-16T13:13:01.383384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:01.640039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7477
92.1%
사업개시예정일자 638
 
7.9%

wrkpgrdsrvsenm
Categorical

IMBALANCE 

Distinct24
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7312 
사업장부지용도구분명
 
618
공업용
 
87
기타
 
29
업무용
 
11
Other values (19)
 
58

Length

Max length10
Median length4
Mean length4.4326556
Min length1

Unique

Unique10 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7312
90.1%
사업장부지용도구분명 618
 
7.6%
공업용 87
 
1.1%
기타 29
 
0.4%
업무용 11
 
0.1%
전 9
 
0.1%
공공용지등 7
 
0.1%
답 7
 
0.1%
지정되지않음 7
 
0.1%
위험시설 6
 
0.1%
Other values (14) 22
 
0.3%

Length

2024-04-16T13:13:01.904746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 7312
90.1%
사업장부지용도구분명 618
 
7.6%
공업용 87
 
1.1%
기타 29
 
0.4%
업무용 11
 
0.1%
전 9
 
0.1%
공공용지등 7
 
0.1%
답 7
 
0.1%
지정되지않음 7
 
0.1%
위험시설 6
 
0.1%
Other values (14) 22
 
0.3%

wrkptelno
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7476 
사업장전화번호
 
637
0417528007
 
1
0414171566
 
1

Length

Max length10
Median length4
Mean length4.2369686
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7476
92.1%
사업장전화번호 637
 
7.8%
0417528007 1
 
< 0.1%
0414171566 1
 
< 0.1%

Length

2024-04-16T13:13:02.187561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:02.410443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7476
92.1%
사업장전화번호 637
 
7.8%
0417528007 1
 
< 0.1%
0414171566 1
 
< 0.1%

useobj
Text

MISSING 

Distinct272
Distinct (%)24.3%
Missing6997
Missing (%)86.2%
Memory size63.5 KiB
2024-04-16T13:13:02.928046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length4
Mean length5.6171735
Min length1

Characters and Unicode

Total characters6280
Distinct characters257
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique175 ?
Unique (%)15.7%

Sample

1st row사용목적
2nd row사용목적
3rd rowㅇㅇ
4th row사용목적
5th rowㅇㅇ
ValueCountFrequency (%)
사용목적 579
35.2%
의료용 72
 
4.4%
및 62
 
3.8%
절단 49
 
3.0%
용접 38
 
2.3%
산소 28
 
1.7%
절단용 27
 
1.6%
사용 23
 
1.4%
레이저 21
 
1.3%
용단 19
 
1.2%
Other values (342) 725
44.1%
2024-04-16T13:13:03.783394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
용 957
 
15.2%
사 620
 
9.9%
목 586
 
9.3%
적 586
 
9.3%
525
 
8.4%
단 149
 
2.4%
절 123
 
2.0%
공 103
 
1.6%
료 100
 
1.6%
의 92
 
1.5%
Other values (247) 2439
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5582
88.9%
Space Separator 525
 
8.4%
Uppercase Letter 44
 
0.7%
Lowercase Letter 40
 
0.6%
Other Punctuation 28
 
0.4%
Close Punctuation 27
 
0.4%
Open Punctuation 27
 
0.4%
Decimal Number 5
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 957
17.1%
사 620
 
11.1%
목 586
 
10.5%
적 586
 
10.5%
단 149
 
2.7%
절 123
 
2.2%
공 103
 
1.8%
료 100
 
1.8%
의 92
 
1.6%
산 91
 
1.6%
Other values (206) 2175
39.0%
Uppercase Letter
ValueCountFrequency (%)
C 10
22.7%
R 4
 
9.1%
N 4
 
9.1%
M 3
 
6.8%
T 3
 
6.8%
S 3
 
6.8%
H 3
 
6.8%
D 2
 
4.5%
V 2
 
4.5%
E 2
 
4.5%
Other values (6) 8
18.2%
Lowercase Letter
ValueCountFrequency (%)
e 6
15.0%
a 6
15.0%
c 4
10.0%
l 4
10.0%
r 4
10.0%
i 3
7.5%
t 2
 
5.0%
m 2
 
5.0%
h 2
 
5.0%
u 2
 
5.0%
Other values (5) 5
12.5%
Other Punctuation
ValueCountFrequency (%)
, 21
75.0%
/ 6
 
21.4%
* 1
 
3.6%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
3 2
40.0%
9 1
20.0%
Space Separator
ValueCountFrequency (%)
525
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5582
88.9%
Common 614
 
9.8%
Latin 84
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 957
17.1%
사 620
 
11.1%
목 586
 
10.5%
적 586
 
10.5%
단 149
 
2.7%
절 123
 
2.2%
공 103
 
1.8%
료 100
 
1.8%
의 92
 
1.6%
산 91
 
1.6%
Other values (206) 2175
39.0%
Latin
ValueCountFrequency (%)
C 10
 
11.9%
e 6
 
7.1%
a 6
 
7.1%
c 4
 
4.8%
l 4
 
4.8%
R 4
 
4.8%
r 4
 
4.8%
N 4
 
4.8%
M 3
 
3.6%
T 3
 
3.6%
Other values (21) 36
42.9%
Common
ValueCountFrequency (%)
525
85.5%
) 27
 
4.4%
( 27
 
4.4%
, 21
 
3.4%
/ 6
 
1.0%
1 2
 
0.3%
~ 2
 
0.3%
3 2
 
0.3%
* 1
 
0.2%
9 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5576
88.8%
ASCII 698
 
11.1%
Compat Jamo 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
용 957
17.2%
사 620
 
11.1%
목 586
 
10.5%
적 586
 
10.5%
단 149
 
2.7%
절 123
 
2.2%
공 103
 
1.8%
료 100
 
1.8%
의 92
 
1.6%
산 91
 
1.6%
Other values (205) 2169
38.9%
ASCII
ValueCountFrequency (%)
525
75.2%
) 27
 
3.9%
( 27
 
3.9%
, 21
 
3.0%
C 10
 
1.4%
e 6
 
0.9%
a 6
 
0.9%
/ 6
 
0.9%
c 4
 
0.6%
l 4
 
0.6%
Other values (31) 62
 
8.9%
Compat Jamo
ValueCountFrequency (%)
ㅇ 6
100.0%

usemet
Text

MISSING 

Distinct306
Distinct (%)27.4%
Missing6997
Missing (%)86.2%
Memory size63.5 KiB
2024-04-16T13:13:04.319857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length4
Mean length7.3962433
Min length1

Characters and Unicode

Total characters8269
Distinct characters305
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique205 ?
Unique (%)18.3%

Sample

1st row사용방법
2nd row사용방법
3rd rowㅇㅇ
4th row사용방법
5th rowㅇㅇ
ValueCountFrequency (%)
사용방법 579
27.6%
및 62
 
3.0%
사용 59
 
2.8%
절단 48
 
2.3%
의료용 40
 
1.9%
용접 37
 
1.8%
산소 36
 
1.7%
공급 34
 
1.6%
통해 24
 
1.1%
후 24
 
1.1%
Other values (495) 1152
55.0%
2024-04-16T13:13:05.126825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
988
 
11.9%
용 967
 
11.7%
사 686
 
8.3%
방 584
 
7.1%
법 579
 
7.0%
기 172
 
2.1%
소 164
 
2.0%
산 149
 
1.8%
단 123
 
1.5%
공 116
 
1.4%
Other values (295) 3741
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6871
83.1%
Space Separator 988
 
11.9%
Uppercase Letter 99
 
1.2%
Decimal Number 87
 
1.1%
Lowercase Letter 82
 
1.0%
Other Punctuation 68
 
0.8%
Open Punctuation 24
 
0.3%
Close Punctuation 24
 
0.3%
Dash Punctuation 14
 
0.2%
Math Symbol 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 967
 
14.1%
사 686
 
10.0%
방 584
 
8.5%
법 579
 
8.4%
기 172
 
2.5%
소 164
 
2.4%
산 149
 
2.2%
단 123
 
1.8%
공 116
 
1.7%
화 106
 
1.5%
Other values (235) 3225
46.9%
Lowercase Letter
ValueCountFrequency (%)
a 13
15.9%
e 9
11.0%
k 8
9.8%
g 8
9.8%
t 7
8.5%
i 6
 
7.3%
n 4
 
4.9%
c 4
 
4.9%
l 4
 
4.9%
r 4
 
4.9%
Other values (9) 15
18.3%
Uppercase Letter
ValueCountFrequency (%)
L 10
 
10.1%
C 10
 
10.1%
R 10
 
10.1%
P 8
 
8.1%
E 8
 
8.1%
G 7
 
7.1%
M 6
 
6.1%
T 6
 
6.1%
O 4
 
4.0%
A 4
 
4.0%
Other values (8) 26
26.3%
Decimal Number
ValueCountFrequency (%)
7 16
18.4%
2 12
13.8%
1 12
13.8%
0 9
10.3%
3 8
9.2%
4 7
8.0%
8 6
 
6.9%
9 6
 
6.9%
5 6
 
6.9%
6 5
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 27
39.7%
. 23
33.8%
* 8
 
11.8%
/ 4
 
5.9%
: 4
 
5.9%
' 2
 
2.9%
Math Symbol
ValueCountFrequency (%)
> 10
83.3%
× 1
 
8.3%
~ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
988
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6871
83.1%
Common 1217
 
14.7%
Latin 181
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 967
 
14.1%
사 686
 
10.0%
방 584
 
8.5%
법 579
 
8.4%
기 172
 
2.5%
소 164
 
2.4%
산 149
 
2.2%
단 123
 
1.8%
공 116
 
1.7%
화 106
 
1.5%
Other values (235) 3225
46.9%
Latin
ValueCountFrequency (%)
a 13
 
7.2%
L 10
 
5.5%
C 10
 
5.5%
R 10
 
5.5%
e 9
 
5.0%
P 8
 
4.4%
k 8
 
4.4%
g 8
 
4.4%
E 8
 
4.4%
G 7
 
3.9%
Other values (27) 90
49.7%
Common
ValueCountFrequency (%)
988
81.2%
, 27
 
2.2%
( 24
 
2.0%
) 24
 
2.0%
. 23
 
1.9%
7 16
 
1.3%
- 14
 
1.2%
2 12
 
1.0%
1 12
 
1.0%
> 10
 
0.8%
Other values (13) 67
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6865
83.0%
ASCII 1397
 
16.9%
Compat Jamo 6
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
988
70.7%
, 27
 
1.9%
( 24
 
1.7%
) 24
 
1.7%
. 23
 
1.6%
7 16
 
1.1%
- 14
 
1.0%
a 13
 
0.9%
2 12
 
0.9%
1 12
 
0.9%
Other values (49) 244
 
17.5%
Hangul
ValueCountFrequency (%)
용 967
 
14.1%
사 686
 
10.0%
방 584
 
8.5%
법 579
 
8.4%
기 172
 
2.5%
소 164
 
2.4%
산 149
 
2.2%
단 123
 
1.8%
공 116
 
1.7%
화 106
 
1.5%
Other values (234) 3219
46.9%
Compat Jamo
ValueCountFrequency (%)
ㅇ 6
100.0%
None
ValueCountFrequency (%)
× 1
100.0%

dsnrspvsnsortnm
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7336 
설계감리업종류명
 
624
전문감리업
 
79
전문설계업2종
 
41
전문설계업1종
 
28
Other values (2)
 
7

Length

Max length8
Median length4
Mean length4.3436845
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7336
90.4%
설계감리업종류명 624
 
7.7%
전문감리업 79
 
1.0%
전문설계업2종 41
 
0.5%
전문설계업1종 28
 
0.3%
종합설계업 4
 
< 0.1%
종합감리업 3
 
< 0.1%

Length

2024-04-16T13:13:05.449153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:05.720252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7336
90.4%
설계감리업종류명 624
 
7.7%
전문감리업 79
 
1.0%
전문설계업2종 41
 
0.5%
전문설계업1종 28
 
0.3%
종합설계업 4
 
< 0.1%
종합감리업 3
 
< 0.1%

equnm
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7478 
설비명
 
637

Length

Max length4
Median length4
Mean length3.9215034
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7478
92.2%
설비명 637
 
7.8%

Length

2024-04-16T13:13:05.959119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:06.180441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7478
92.2%
설비명 637
 
7.8%

equcap
Text

MISSING 

Distinct1034
Distinct (%)22.4%
Missing3494
Missing (%)43.1%
Memory size63.5 KiB
2024-04-16T13:13:06.762310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.5907812
Min length1

Characters and Unicode

Total characters21214
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique575 ?
Unique (%)12.4%

Sample

1st row49.88
2nd row96
3rd row98.28
4th row190.96
5th row98.55
ValueCountFrequency (%)
99.6 319
 
6.9%
99.9 239
 
5.2%
설비용량 196
 
4.2%
99.84 182
 
3.9%
99.45 137
 
3.0%
98.28 116
 
2.5%
99.28 97
 
2.1%
99 94
 
2.0%
99.36 85
 
1.8%
99.54 83
 
1.8%
Other values (1024) 3073
66.5%
2024-04-16T13:13:07.437710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 5893
27.8%
. 3932
18.5%
8 1638
 
7.7%
2 1636
 
7.7%
4 1511
 
7.1%
6 1423
 
6.7%
5 1175
 
5.5%
1 1084
 
5.1%
7 809
 
3.8%
3 803
 
3.8%
Other values (5) 1310
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16498
77.8%
Other Punctuation 3932
 
18.5%
Other Letter 784
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 5893
35.7%
8 1638
 
9.9%
2 1636
 
9.9%
4 1511
 
9.2%
6 1423
 
8.6%
5 1175
 
7.1%
1 1084
 
6.6%
7 809
 
4.9%
3 803
 
4.9%
0 526
 
3.2%
Other Letter
ValueCountFrequency (%)
설 196
25.0%
비 196
25.0%
용 196
25.0%
량 196
25.0%
Other Punctuation
ValueCountFrequency (%)
. 3932
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20430
96.3%
Hangul 784
 
3.7%

Most frequent character per script

Common
ValueCountFrequency (%)
9 5893
28.8%
. 3932
19.2%
8 1638
 
8.0%
2 1636
 
8.0%
4 1511
 
7.4%
6 1423
 
7.0%
5 1175
 
5.8%
1 1084
 
5.3%
7 809
 
4.0%
3 803
 
3.9%
Hangul
ValueCountFrequency (%)
설 196
25.0%
비 196
25.0%
용 196
25.0%
량 196
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20430
96.3%
Hangul 784
 
3.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 5893
28.8%
. 3932
19.2%
8 1638
 
8.0%
2 1636
 
8.0%
4 1511
 
7.4%
6 1423
 
7.0%
5 1175
 
5.8%
1 1084
 
5.3%
7 809
 
4.0%
3 803
 
3.9%
Hangul
ValueCountFrequency (%)
설 196
25.0%
비 196
25.0%
용 196
25.0%
량 196
25.0%

stanm
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7439 
소속국가명
 
634
대한민국
 
41
3278
 
1

Length

Max length5
Median length4
Mean length4.0781269
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7439
91.7%
소속국가명 634
 
7.8%
대한민국 41
 
0.5%
3278 1
 
< 0.1%

Length

2024-04-16T13:13:07.572942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:07.674824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7439
91.7%
소속국가명 634
 
7.8%
대한민국 41
 
0.5%
3278 1
 
< 0.1%

sygrglstcnt
Text

MISSING 

Distinct79
Distinct (%)7.2%
Missing7018
Missing (%)86.5%
Memory size63.5 KiB
2024-04-16T13:13:07.830942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length3.4703737
Min length1

Characters and Unicode

Total characters3807
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)3.1%

Sample

1st row수용정원수
2nd row수용정원수
3rd row1
4th row수용정원수
5th row1
ValueCountFrequency (%)
수용정원수 579
52.8%
10 56
 
5.1%
5 52
 
4.7%
0 40
 
3.6%
4 36
 
3.3%
2 36
 
3.3%
100 21
 
1.9%
3 20
 
1.8%
50 18
 
1.6%
6 18
 
1.6%
Other values (69) 221
 
20.1%
2024-04-16T13:13:08.133092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 1158
30.4%
용 579
15.2%
정 579
15.2%
원 579
15.2%
0 296
 
7.8%
1 179
 
4.7%
5 116
 
3.0%
2 113
 
3.0%
3 63
 
1.7%
4 57
 
1.5%
Other values (4) 88
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2895
76.0%
Decimal Number 912
 
24.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 296
32.5%
1 179
19.6%
5 116
 
12.7%
2 113
 
12.4%
3 63
 
6.9%
4 57
 
6.2%
6 31
 
3.4%
7 24
 
2.6%
8 19
 
2.1%
9 14
 
1.5%
Other Letter
ValueCountFrequency (%)
수 1158
40.0%
용 579
20.0%
정 579
20.0%
원 579
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2895
76.0%
Common 912
 
24.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 296
32.5%
1 179
19.6%
5 116
 
12.7%
2 113
 
12.4%
3 63
 
6.9%
4 57
 
6.2%
6 31
 
3.4%
7 24
 
2.6%
8 19
 
2.1%
9 14
 
1.5%
Hangul
ValueCountFrequency (%)
수 1158
40.0%
용 579
20.0%
정 579
20.0%
원 579
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2895
76.0%
ASCII 912
 
24.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 1158
40.0%
용 579
20.0%
정 579
20.0%
원 579
20.0%
ASCII
ValueCountFrequency (%)
0 296
32.5%
1 179
19.6%
5 116
 
12.7%
2 113
 
12.4%
3 63
 
6.9%
4 57
 
6.2%
6 31
 
3.4%
7 24
 
2.6%
8 19
 
2.1%
9 14
 
1.5%

faciluseyn
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7478 
시
 
637

Length

Max length4
Median length4
Mean length3.7645102
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7478
92.2%
시 637
 
7.8%

Length

2024-04-16T13:13:08.257106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:08.360496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7478
92.2%
시 637
 
7.8%

realcapt
Categorical

IMBALANCE 

Distinct47
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7336 
실질자본금
 
624
0
 
45
50000000
 
38
51000000
 
6
Other values (42)
 
66

Length

Max length10
Median length4
Mean length4.1182994
Min length1

Unique

Unique27 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7336
90.4%
실질자본금 624
 
7.7%
0 45
 
0.6%
50000000 38
 
0.5%
51000000 6
 
0.1%
100000000 5
 
0.1%
30000000 4
 
< 0.1%
211302500 3
 
< 0.1%
10000000 3
 
< 0.1%
22466000 3
 
< 0.1%
Other values (37) 48
 
0.6%

Length

2024-04-16T13:13:08.461780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 7336
90.4%
실질자본금 624
 
7.7%
0 45
 
0.6%
50000000 38
 
0.5%
51000000 6
 
0.1%
100000000 5
 
0.1%
30000000 4
 
< 0.1%
211302500 3
 
< 0.1%
10000000 3
 
< 0.1%
22466000 3
 
< 0.1%
Other values (37) 48
 
0.6%

cobgbnnm
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7336 
업종구분명
 
624
감리업
 
82
설계업
 
73

Length

Max length5
Median length4
Mean length4.0577942
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7336
90.4%
업종구분명 624
 
7.7%
감리업 82
 
1.0%
설계업 73
 
0.9%

Length

2024-04-16T13:13:08.574544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:08.681514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7336
90.4%
업종구분명 624
 
7.7%
감리업 82
 
1.0%
설계업 73
 
0.9%

instrstoroomar
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7474 
용기저장실면적
 
637
0
 
4

Length

Max length7
Median length4
Mean length4.2340111
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7474
92.1%
용기저장실면적 637
 
7.8%
0 4
 
< 0.1%

Length

2024-04-16T13:13:08.793692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:08.890692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7474
92.1%
용기저장실면적 637
 
7.8%
0 4
 
< 0.1%

motpowersortnm
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
태양광
4397 
<NA>
3495 
원동력종류명
 
196
소수력
 
8
연료전지
 
7
Other values (4)
 
12

Length

Max length7
Median length3
Mean length3.5046211
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
태양광 4397
54.2%
<NA> 3495
43.1%
원동력종류명 196
 
2.4%
소수력 8
 
0.1%
연료전지 7
 
0.1%
수력 6
 
0.1%
바이오가스 4
 
< 0.1%
기타 1
 
< 0.1%
가스엔진발전기 1
 
< 0.1%

Length

2024-04-16T13:13:08.987946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:09.096362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 4397
54.2%
na 3495
43.1%
원동력종류명 196
 
2.4%
소수력 8
 
0.1%
연료전지 7
 
0.1%
수력 6
 
0.1%
바이오가스 4
 
< 0.1%
기타 1
 
< 0.1%
가스엔진발전기 1
 
< 0.1%

bmonuseqy
Text

MISSING 

Distinct170
Distinct (%)15.5%
Missing7018
Missing (%)86.5%
Memory size63.5 KiB
2024-04-16T13:13:09.445456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length3.8678213
Min length1

Characters and Unicode

Total characters4243
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)8.4%

Sample

1st row월사용량
2nd row월사용량
3rd row1
4th row월사용량
5th row1
ValueCountFrequency (%)
월사용량 579
52.8%
1000 37
 
3.4%
10000 24
 
2.2%
1500 23
 
2.1%
3000 20
 
1.8%
4000 19
 
1.7%
2000 16
 
1.5%
5000 15
 
1.4%
1 10
 
0.9%
300 10
 
0.9%
Other values (160) 344
31.4%
2024-04-16T13:13:09.886159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 915
21.6%
월 579
13.6%
사 579
13.6%
용 579
13.6%
량 579
13.6%
1 216
 
5.1%
5 156
 
3.7%
2 133
 
3.1%
4 103
 
2.4%
3 97
 
2.3%
Other values (5) 307
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2316
54.6%
Decimal Number 1864
43.9%
Other Punctuation 63
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 915
49.1%
1 216
 
11.6%
5 156
 
8.4%
2 133
 
7.1%
4 103
 
5.5%
3 97
 
5.2%
8 73
 
3.9%
6 67
 
3.6%
7 63
 
3.4%
9 41
 
2.2%
Other Letter
ValueCountFrequency (%)
월 579
25.0%
사 579
25.0%
용 579
25.0%
량 579
25.0%
Other Punctuation
ValueCountFrequency (%)
. 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2316
54.6%
Common 1927
45.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 915
47.5%
1 216
 
11.2%
5 156
 
8.1%
2 133
 
6.9%
4 103
 
5.3%
3 97
 
5.0%
8 73
 
3.8%
6 67
 
3.5%
. 63
 
3.3%
7 63
 
3.3%
Hangul
ValueCountFrequency (%)
월 579
25.0%
사 579
25.0%
용 579
25.0%
량 579
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2316
54.6%
ASCII 1927
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 915
47.5%
1 216
 
11.2%
5 156
 
8.1%
2 133
 
6.9%
4 103
 
5.3%
3 97
 
5.0%
8 73
 
3.8%
6 67
 
3.5%
. 63
 
3.3%
7 63
 
3.3%
Hangul
ValueCountFrequency (%)
월 579
25.0%
사 579
25.0%
용 579
25.0%
량 579
25.0%

cyprpdtfacil
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7478 
윤전기생산시설
 
637

Length

Max length7
Median length4
Mean length4.2354898
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7478
92.2%
윤전기생산시설 637
 
7.8%

Length

2024-04-16T13:13:10.026753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:10.142342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7478
92.2%
윤전기생산시설 637
 
7.8%

capt
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7457 
자본금
 
636
100000000
 
19
200000000
 
1
8694541000
 
1

Length

Max length10
Median length4
Mean length3.9351818
Min length3

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7457
91.9%
자본금 636
 
7.8%
100000000 19
 
0.2%
200000000 1
 
< 0.1%
8694541000 1
 
< 0.1%
50000000 1
 
< 0.1%

Length

2024-04-16T13:13:10.575335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:10.688753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7457
91.9%
자본금 636
 
7.8%
100000000 19
 
0.2%
200000000 1
 
< 0.1%
8694541000 1
 
< 0.1%
50000000 1
 
< 0.1%

saveequloc
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7478 
저장설비위치
 
637

Length

Max length6
Median length4
Mean length4.1569932
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7478
92.2%
저장설비위치 637
 
7.8%

Length

2024-04-16T13:13:10.824094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:10.926416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7478
92.2%
저장설비위치 637
 
7.8%

scoalar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7478 
저탄장면적
 
637

Length

Max length5
Median length4
Mean length4.0784966
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7478
92.2%
저탄장면적 637
 
7.8%

Length

2024-04-16T13:13:11.028776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:11.130481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7478
92.2%
저탄장면적 637
 
7.8%

permcn
Text

MISSING 

Distinct316
Distinct (%)10.1%
Missing4973
Missing (%)61.3%
Memory size63.5 KiB
2024-04-16T13:13:11.378897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length209
Median length46
Mean length15.442712
Min length1

Characters and Unicode

Total characters48521
Distinct characters229
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)4.1%

Sample

1st row허가조건 이면 참조
2nd row전기사업허가조건
3rd row붙임 허가조건 참조
4th row군협의
5th row군협의
ValueCountFrequency (%)
허가조건 622
 
5.4%
붙임 598
 
5.2%
이행 413
 
3.6%
준수 409
 
3.6%
참조 399
 
3.5%
전기사업허가조건 398
 
3.5%
및 316
 
2.7%
등 311
 
2.7%
개별법 231
 
2.0%
인허가를 210
 
1.8%
Other values (399) 7584
66.0%
2024-04-16T13:13:12.224687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8351
 
17.2%
조 2564
 
5.3%
가 2465
 
5.1%
허 2379
 
4.9%
건 1911
 
3.9%
이 1471
 
3.0%
행 1298
 
2.7%
사 1293
 
2.7%
기 909
 
1.9%
업 908
 
1.9%
Other values (219) 24972
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37629
77.6%
Space Separator 8351
 
17.2%
Decimal Number 956
 
2.0%
Other Punctuation 538
 
1.1%
Open Punctuation 463
 
1.0%
Close Punctuation 462
 
1.0%
Dash Punctuation 113
 
0.2%
Lowercase Letter 5
 
< 0.1%
Other Symbol 3
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 2564
 
6.8%
가 2465
 
6.6%
허 2379
 
6.3%
건 1911
 
5.1%
이 1471
 
3.9%
행 1298
 
3.4%
사 1293
 
3.4%
기 909
 
2.4%
업 908
 
2.4%
별 862
 
2.3%
Other values (187) 21569
57.3%
Decimal Number
ValueCountFrequency (%)
1 203
21.2%
0 196
20.5%
2 151
15.8%
9 70
 
7.3%
3 68
 
7.1%
4 66
 
6.9%
7 59
 
6.2%
8 53
 
5.5%
6 52
 
5.4%
5 38
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 371
69.0%
, 102
 
19.0%
· 50
 
9.3%
* 8
 
1.5%
" 2
 
0.4%
？ 2
 
0.4%
' 2
 
0.4%
: 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
k 2
40.0%
m 1
20.0%
o 1
20.0%
w 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 460
99.4%
[ 2
 
0.4%
「 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 459
99.4%
] 2
 
0.4%
」 1
 
0.2%
Space Separator
ValueCountFrequency (%)
8351
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 113
100.0%
Other Symbol
ValueCountFrequency (%)
○ 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
W 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37629
77.6%
Common 10886
 
22.4%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 2564
 
6.8%
가 2465
 
6.6%
허 2379
 
6.3%
건 1911
 
5.1%
이 1471
 
3.9%
행 1298
 
3.4%
사 1293
 
3.4%
기 909
 
2.4%
업 908
 
2.4%
별 862
 
2.3%
Other values (187) 21569
57.3%
Common
ValueCountFrequency (%)
8351
76.7%
( 460
 
4.2%
) 459
 
4.2%
. 371
 
3.4%
1 203
 
1.9%
0 196
 
1.8%
2 151
 
1.4%
- 113
 
1.0%
, 102
 
0.9%
9 70
 
0.6%
Other values (17) 410
 
3.8%
Latin
ValueCountFrequency (%)
k 2
33.3%
m 1
16.7%
o 1
16.7%
w 1
16.7%
W 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37628
77.5%
ASCII 10835
 
22.3%
None 54
 
0.1%
Geometric Shapes 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8351
77.1%
( 460
 
4.2%
) 459
 
4.2%
. 371
 
3.4%
1 203
 
1.9%
0 196
 
1.8%
2 151
 
1.4%
- 113
 
1.0%
, 102
 
0.9%
9 70
 
0.6%
Other values (17) 359
 
3.3%
Hangul
ValueCountFrequency (%)
조 2564
 
6.8%
가 2465
 
6.6%
허 2379
 
6.3%
건 1911
 
5.1%
이 1471
 
3.9%
행 1298
 
3.4%
사 1293
 
3.4%
기 909
 
2.4%
업 908
 
2.4%
별 862
 
2.3%
Other values (186) 21568
57.3%
None
ValueCountFrequency (%)
· 50
92.6%
？ 2
 
3.7%
「 1
 
1.9%
」 1
 
1.9%
Geometric Shapes
ValueCountFrequency (%)
○ 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅍ 1
100.0%

prdsenm
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
6777 
제조구분명
 
546
냉동
 
442
충전
 
226
일반
 
111

Length

Max length5
Median length4
Mean length3.8720887
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 6777
83.5%
제조구분명 546
 
6.7%
냉동 442
 
5.4%
충전 226
 
2.8%
일반 111
 
1.4%
특정 13
 
0.2%

Length

2024-04-16T13:13:12.421360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:12.536136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6777
83.5%
제조구분명 546
 
6.7%
냉동 442
 
5.4%
충전 226
 
2.8%
일반 111
 
1.4%
특정 13
 
0.2%

frequ
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
60
4220 
<NA>
3693 
주파수
 
196
30
 
3
380
 
2

Length

Max length4
Median length2
Mean length2.9345656
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
60 4220
52.0%
<NA> 3693
45.5%
주파수 196
 
2.4%
30 3
 
< 0.1%
380 2
 
< 0.1%
50 1
 
< 0.1%

Length

2024-04-16T13:13:12.672338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:12.791395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 4220
52.0%
na 3693
45.5%
주파수 196
 
2.4%
30 3
 
< 0.1%
380 2
 
< 0.1%
50 1
 
< 0.1%

cgpar
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7490 
차고지면적
 
621
0
 
4

Length

Max length5
Median length4
Mean length4.0750462
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7490
92.3%
차고지면적 621
 
7.7%
0 4
 
< 0.1%

Length

2024-04-16T13:13:12.917626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:13.024026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7490
92.3%
차고지면적 621
 
7.7%
0 4
 
< 0.1%

rlservlnennm
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7494 
철도인입선유무명
 
621

Length

Max length8
Median length4
Mean length4.3060998
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7494
92.3%
철도인입선유무명 621
 
7.7%

Length

2024-04-16T13:13:13.138834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:13.258868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7494
92.3%
철도인입선유무명 621
 
7.7%

tregascap
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
<NA>
7494 
취급가스용량
 
621

Length

Max length6
Median length4
Mean length4.1530499
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7494
92.3%
취급가스용량 621
 
7.7%

Length

2024-04-16T13:13:13.384917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:13.512700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7494
92.3%
취급가스용량 621
 
7.7%

last_load_dttm
Date

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing522
Missing (%)6.4%
Memory size63.5 KiB
Minimum2021-02-01 05:14:03
Maximum2021-02-01 05:14:04
2024-04-16T13:13:13.594506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T13:13:13.690531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

Sample

skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelgaspdtsortnmgassortnmupchnmsuprulesctnspyvoltltchgcnexmranprdsizbaeltbaeesbplcofftelnoofearbsnsopeningprearrymdwrkpgrdsrvsenmwrkptelnouseobjusemetdsnrspvsnsortnmequnmequcapstanmsygrglstcntfaciluseynrealcaptcobgbnnminstrstoroomarmotpowersortnmbmonuseqycyprpdtfacilcaptsaveequlocscoalarpermcnprdsenmfrequcgparrlservlnennmtregascaplast_load_dttm
013250000198732500140150000109_28_08_PI2018-08-31 23:59:59.0<NA>고려주유소<NA>부산광역시 중구 중앙동5가 70번지48947부산광역시 중구 대청로 153 (중앙동5가)19870812<NA><NA><NA><NA>01신규등록385717.11248000000180436.9157830000020171121112913주유소051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:14:03
123250000197132500140120000309_28_08_PI2018-08-31 23:59:59.0<NA>영신석유<NA>부산광역시 중구 영주동 73-11번지48947<NA>19710722<NA><NA><NA><NA>03폐지<NA><NA>20091126141034일반판매소051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:14:03
233250000197132500140120000409_28_08_PI2018-08-31 23:59:59.0<NA>남포석유상사<NA>부산광역시 중구 대청동4가 31-17번지48947<NA>1971092420080506<NA><NA><NA>03폐지<NA><NA>20080506160124일반판매소051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:14:03
343250000197632500140150000109_28_08_PI2018-08-31 23:59:59.0<NA>강남주유소<NA>부산광역시 중구 중앙동4가 82-8번지48947부산광역시 중구 중앙대로 120 (중앙동4가)1976050320160616<NA><NA><NA>03폐지385732.61555200000180996.8411940000020160616152334주유소051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:14:03
453250000197632500140150000409_28_08_PI2018-08-31 23:59:59.0<NA>에스씨(주) 제일주유소<NA>부산광역시 중구 영주동 556-3외10필지번지48947부산광역시 중구 중구로 194 (영주동)19760513<NA><NA><NA><NA>01신규등록385535.93263200000181386.8306230000020171121112951주유소051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:14:03
563250000198532500140150000109_28_08_PI2018-08-31 23:59:59.0<NA>남포주유소<NA>부산광역시 중구 부평동4가 32-2, 33, 34-6번지48947부산광역시 중구 보수대로 62 (부평동4가)198511112015112620120501201212312013020403폐지384385.56369900000180259.7316660000020151126164419주유소051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:14:03
673250000199632500140120000909_28_08_PI2018-08-31 23:59:59.0<NA>유성석유<NA>부산광역시 중구 보수동1가 60-108번지48947부산광역시 중구 보동길 10 (보수동1가)19990826<NA><NA><NA><NA>01신규등록384822.48508100000180570.8976590000020171121113216일반판매소051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:14:03
783250000199932500140120001009_28_08_PI2018-08-31 23:59:59.0<NA>영창석유<NA>부산광역시 중구 보수동1가 60-113번지48947<NA>1999102620101230<NA><NA><NA>03폐지<NA><NA>20101230163642일반판매소051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:14:03
893250000199932500140120001109_28_08_PI2018-08-31 23:59:59.0<NA>영동석유<NA>부산광역시 중구 영주동 470-10,17번지48947<NA>1999122420081107<NA><NA><NA>03폐지<NA><NA>20081107141354일반판매소051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:14:03
9103250000200032500830150000209_28_08_PI2018-08-31 23:59:59.0<NA>동륭케미칼(주)부산영업소<NA>부산광역시 중구 중앙동4가 84-1번지48938부산광역시 중구 충장대로5번길 26, 3층 303호 (중앙동4가)20000607<NA><NA><NA><NA>01신규등록385748.21746400000180936.6008820000020171122112647용제판매소051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:14:03
skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelgaspdtsortnmgassortnmupchnmsuprulesctnspyvoltltchgcnexmranprdsizbaeltbaeesbplcofftelnoofearbsnsopeningprearrymdwrkpgrdsrvsenmwrkptelnouseobjusemetdsnrspvsnsortnmequnmequcapstanmsygrglstcntfaciluseynrealcaptcobgbnnminstrstoroomarmotpowersortnmbmonuseqycyprpdtfacilcaptsaveequlocscoalarpermcnprdsenmfrequcgparrlservlnennmtregascaplast_load_dttm
810578034180000202141803490650000109_28_04_PI2021-01-31 00:23:03.0계량기증명업(주) 강토개발<NA><NA>24411강원도 춘천시 신동면 한치로 49720210127<NA><NA><NA><NA>영업/정상영업중259692.000138683475942.14188062320210129110030<NA>2611234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2611234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:14:04
810678044920000202149201270210000109_28_05_PI2021-01-31 00:23:03.0고압가스업박미정 수산지번우편번호전라남도 강진군 강진읍 덕남리 321-2도로명우편번호도로명주소20210129폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중177623.724332122172.41645620210129140659저장소전화번호가스용품종류명가스종류명거래처공급규정내용공급전압길이변경내용면제범위물품규격배관길이배관설치장소사무소전화번호사무실면적사업개시예정일자전사업장전화번호사용목적사용방법설계감리업종류명설비명설비용량소속국가명수용정원수시실질자본금업종구분명용기저장실면적원동력종류명월사용량윤전기생산시설자본금저장설비위치저탄장면적전기사업허가조건일반주파수차고지면적철도인입선유무명취급가스용량2021-02-01 05:14:04
810778055590000202155902620210000109_28_05_PI2021-01-31 00:23:03.0고압가스업태성공업(주)<NA>경기도 양주시 은현면 운암리 210-111426경기도 양주시 은현면 운하로 1422021012920210129<NA><NA><NA>폐업폐업201056.154666826486383.45652503920210129172257저장소<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:14:04
8108780639900002021399032104100001-0000109_28_09_PI2021-01-31 00:23:03.0액화석유가스용품제조업체보광(선광)<NA>경기도 남양주시 화도읍 창현리 23-712196경기도 남양주시 화도읍 폭포로 384, 주2동20210129<NA><NA><NA><NA>영업/정상<NA>228609.484233219459069.16066325420210129160528<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:14:04
810978083730000202137301860210000609_28_05_PI2021-01-31 00:23:03.0고압가스업(주)에스엠랩<NA>울산광역시 울주군 삼남읍 가천리 1212-3 (주)에스엠랩44953울산광역시 울주군 삼남읍 가천공단1길 27 (주)에스엠랩20210129<NA><NA><NA><NA>제외/삭제/전출타시군구이관<NA><NA>20210129151103저장소<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:14:04
811078096520000202165201780220000209_28_05_PI2021-01-31 00:23:03.0고압가스업삼매봉개발 주식회사 3호기<NA>제주특별자치도 서귀포시 호근동 399<NA><NA>20210129<NA><NA><NA><NA>영업/정상영업중156876.834862-28023.621632820210129100557제조<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>냉동<NA><NA><NA><NA>2021-02-01 05:14:04
811178104260000202142601020210000109_28_05_PI2021-01-31 00:23:03.0고압가스업(주)팜클<NA>강원도 횡성군 우천면 상하가리 369<NA><NA>20210129<NA><NA><NA><NA>영업/정상영업중293320.010747957443912.52267569920210129145804제조<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>공업용<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>충전<NA><NA><NA><NA>2021-02-01 05:14:04
811278113730000202137301860210000509_28_05_PI2021-01-31 00:23:03.0고압가스업(주)에스엠랩<NA>울산광역시 울주군 삼남읍 가천리 1212-3 (주)에스엠랩44953울산광역시 울주군 삼남읍 가천공단1길 27 (주)에스엠랩20210129<NA><NA><NA><NA>제외/삭제/전출타시군구이관<NA><NA>20210129152356저장소<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:14:04
811378126520000202165201780220000109_28_05_PI2021-01-31 00:23:03.0고압가스업삼매봉개발 주식회사 2호기<NA>제주특별자치도 서귀포시 호근동 399<NA><NA>20210129<NA><NA><NA><NA>영업/정상영업중156876.834862-28023.621632820210129100635제조<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>냉동<NA><NA><NA><NA>2021-02-01 05:14:04
811478134180000202141803490650000109_28_04_PI2021-01-31 00:23:03.0계량기증명업(주) 강토개발<NA><NA>24411강원도 춘천시 신동면 한치로 49720210127<NA><NA><NA><NA>영업/정상영업중259692.000138683475942.14188062320210129110030<NA>2611234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2611234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:14:04

Duplicate rows

Most frequently occurring

skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelgaspdtsortnmgassortnmupchnmsuprulesctnspyvoltltchgcnexmranprdsizbaeltbaeesbplcofftelnoofearbsnsopeningprearrymdwrkpgrdsrvsenmwrkptelnouseobjusemetdsnrspvsnsortnmequnmequcapstanmsygrglstcntfaciluseynrealcaptcobgbnnminstrstoroomarmotpowersortnmbmonuseqycyprpdtfacilcaptsaveequlocscoalarpermcnprdsenmfrequcgparrlservlnennmtregascaplast_load_dttm# duplicates
22사업의 준비기간 내 전기설비의 설치 및 사업을 시작하지 아니한 경우 사업허가는 취소 됩니다<NA>60<NA><NA><NA>2021-02-01 05:14:04<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50
5(사업추진에 따른 민원발생 해결 선행)<NA>60<NA><NA><NA>2021-02-01 05:14:03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>38
0내 연장신청(정당한 사유가 있을 경우)이 없으면 허가가 취소<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>27
132. 최초 허가일로부터 3년 이내에 사업개시를 하지 않거나 준비기간<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>27
2됩니다.<NA>60<NA><NA><NA>2021-02-01 05:14:03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>17
8- 개별법에 의한 인허가를 받기 바랍니다.<NA>60<NA><NA><NA>2021-02-01 05:14:03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>14
23사업추진에 따른 민원발생 해결 선행<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>12
19사업 준비기간 내 사업개시 완료<NA>60<NA><NA><NA>2021-02-01 05:14:03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>11
3됩니다.<NA>60<NA><NA><NA>2021-02-01 05:14:04<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7
7- 개별법에 의한 인허가를 받기 바랍니다.제조구분명60차고지면적철도인입선유무명취급가스용량2021-02-01 05:14:03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6