Overview

Dataset statistics

Number of variables63
Number of observations7946
Missing cells78946
Missing cells (%)15.8%
Duplicate rows29
Duplicate rows (%)0.4%
Total size in memory3.8 MiB
Average record size in memory504.0 B

Variable types

Text24
Categorical38
DateTime1

Alerts

Dataset has 29 (0.4%) duplicate rowsDuplicates
updategbn is highly imbalanced (81.0%)Imbalance
trdstatenm is highly imbalanced (61.9%)Imbalance
dtlstatenm is highly imbalanced (51.4%)Imbalance
uptaenm is highly imbalanced (50.9%)Imbalance
gaspdtsortnm is highly imbalanced (60.7%)Imbalance
gassortnm is highly imbalanced (60.7%)Imbalance
upchnm is highly imbalanced (83.6%)Imbalance
suprulesctn is highly imbalanced (60.7%)Imbalance
spyvolt is highly imbalanced (64.4%)Imbalance
ltchgcn is highly imbalanced (60.7%)Imbalance
exmran is highly imbalanced (60.7%)Imbalance
prdsiz is highly imbalanced (60.7%)Imbalance
baelt is highly imbalanced (60.7%)Imbalance
baeesbplc is highly imbalanced (60.7%)Imbalance
offtelno is highly imbalanced (88.3%)Imbalance
ofear is highly imbalanced (74.8%)Imbalance
bsnsopeningprearrymd is highly imbalanced (60.7%)Imbalance
wrkpgrdsrvsenm is highly imbalanced (86.9%)Imbalance
wrkptelno is highly imbalanced (80.2%)Imbalance
dsnrspvsnsortnm is highly imbalanced (80.6%)Imbalance
equnm is highly imbalanced (60.7%)Imbalance
stanm is highly imbalanced (78.1%)Imbalance
faciluseyn is highly imbalanced (60.7%)Imbalance
realcapt is highly imbalanced (89.2%)Imbalance
cobgbnnm is highly imbalanced (73.4%)Imbalance
instrstoroomar is highly imbalanced (74.8%)Imbalance
motpowersortnm is highly imbalanced (63.6%)Imbalance
cyprpdtfacil is highly imbalanced (60.7%)Imbalance
capt is highly imbalanced (83.7%)Imbalance
saveequloc is highly imbalanced (60.7%)Imbalance
scoalar is highly imbalanced (60.7%)Imbalance
prdsenm is highly imbalanced (64.5%)Imbalance
frequ is highly imbalanced (56.1%)Imbalance
cgpar is highly imbalanced (75.3%)Imbalance
rlservlnennm is highly imbalanced (61.4%)Imbalance
tregascap is highly imbalanced (61.4%)Imbalance
opnsfteamcode has 285 (3.6%) missing valuesMissing
mgtno has 102 (1.3%) missing valuesMissing
updatedt has 265 (3.3%) missing valuesMissing
bplcnm has 301 (3.8%) missing valuesMissing
sitepostno has 7175 (90.3%) missing valuesMissing
sitewhladdr has 316 (4.0%) missing valuesMissing
rdnpostno has 386 (4.9%) missing valuesMissing
rdnwhladdr has 1718 (21.6%) missing valuesMissing
apvpermymd has 301 (3.8%) missing valuesMissing
dcbymd has 6835 (86.0%) missing valuesMissing
clgstdt has 7200 (90.6%) missing valuesMissing
clgenddt has 7200 (90.6%) missing valuesMissing
ropnymd has 7256 (91.3%) missing valuesMissing
x has 1153 (14.5%) missing valuesMissing
y has 1153 (14.5%) missing valuesMissing
lastmodts has 301 (3.8%) missing valuesMissing
sitetel has 734 (9.2%) missing valuesMissing
useobj has 6882 (86.6%) missing valuesMissing
usemet has 6882 (86.6%) missing valuesMissing
equcap has 3347 (42.1%) missing valuesMissing
sygrglstcnt has 6903 (86.9%) missing valuesMissing
bmonuseqy has 6903 (86.9%) missing valuesMissing
permcn has 4826 (60.7%) missing valuesMissing
last_load_dttm has 522 (6.6%) missing valuesMissing

Reproduction

Analysis started2024-04-16 04:13:19.378883
Analysis finished2024-04-16 04:13:25.928010
Duration6.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Text

Distinct7704
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
2024-04-16T13:13:26.168322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length4
Mean length4.8207903
Min length1

Characters and Unicode

Total characters38306
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

Unique7679 ?
Unique (%)96.6%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
내 100
 
1.0%
준비기간 100
 
1.0%
됩니다 84
 
0.9%
취소 84
 
0.9%
경우 60
 
0.6%
및 60
 
0.6%
설치 58
 
0.6%
사업허가는 57
 
0.6%
사업의 57
 
0.6%
아니한 57
 
0.6%
Other values (7847) 9030
92.6%
2024-04-16T13:13:26.750345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3432
9.0%
3 3392
 
8.9%
1 3363
 
8.8%
4 3345
 
8.7%
5 3334
 
8.7%
6 3279
 
8.6%
7 2886
 
7.5%
0 2264
 
5.9%
9 2236
 
5.8%
8 2234
 
5.8%
Other values (227) 8541
22.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29765
77.7%
Other Letter 6064
 
15.8%
Space Separator 2004
 
5.2%
Other Punctuation 185
 
0.5%
Close Punctuation 93
 
0.2%
Open 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 3432
11.5%
3 3392
11.4%
1 3363
11.3%
4 3345
11.2%
5 3334
11.2%
6 3279
11.0%
7 2886
9.7%
0 2264
7.6%
9 2236
7.5%
8 2234
7.5%
Lowercase Letter
ValueCountFrequency (%)
a 8
21.6%
l 5
13.5%
e 5
13.5%
o 3
 
8.1%
k 3
 
8.1%
t 3
 
8.1%
r 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%
M 2
16.7%
P 2
16.7%
O 1
 
8.3%
Other Symbol
ValueCountFrequency (%)
○ 3
60.0%
㎥ 2
40.0%
Space Separator
ValueCountFrequency (%)
2004
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32193
84.0%
Hangul 6064
 
15.8%
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 3432
10.7%
3 3392
10.5%
1 3363
10.4%
4 3345
10.4%
5 3334
10.4%
6 3279
10.2%
7 2886
9.0%
0 2264
7.0%
9 2236
6.9%
8 2234
6.9%
Other values (12) 2428
7.5%
Latin
ValueCountFrequency (%)
a 8
16.3%
l 5
10.2%
e 5
10.2%
W 4
8.2%
o 3
 
6.1%
k 3
 
6.1%
t 3
 
6.1%
r 3
 
6.1%
u 3
 
6.1%
g 3
 
6.1%
Other values (5) 9
18.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32236
84.2%
Hangul 6064
 
15.8%
Geometric Shapes 3
 
< 0.1%
CJK Compat 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3432
10.6%
3 3392
10.5%
1 3363
10.4%
4 3345
10.4%
5 3334
10.3%
6 3279
10.2%
7 2886
9.0%
0 2264
7.0%
9 2236
6.9%
8 2234
6.9%
Other values (24) 2471
7.7%
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 (%)3.6%
Memory size62.2 KiB
2024-04-16T13:13:27.061951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.9959535
Min length5

Characters and Unicode

Total characters53596
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 280
 
3.7%
3390000 203
 
2.6%
5060000 158
 
2.1%
3340000 151
 
2.0%
5050000 149
 
1.9%
5530000 128
 
1.7%
4540000 127
 
1.7%
4690000 122
 
1.6%
4490000 121
 
1.6%
3290000 116
 
1.5%
Other values (229) 6106
79.7%
2024-04-16T13:13:27.582710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 32325
60.3%
4 4771
 
8.9%
3 4316
 
8.1%
5 3332
 
6.2%
6 2120
 
4.0%
8 1477
 
2.8%
9 1407
 
2.6%
7 1365
 
2.5%
2 1225
 
2.3%
1 1170
 
2.2%
Other values (12) 88
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 53508
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 32325
60.4%
4 4771
 
8.9%
3 4316
 
8.1%
5 3332
 
6.2%
6 2120
 
4.0%
8 1477
 
2.8%
9 1407
 
2.6%
7 1365
 
2.6%
2 1225
 
2.3%
1 1170
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
Common 53508
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 32325
60.4%
4 4771
 
8.9%
3 4316
 
8.1%
5 3332
 
6.2%
6 2120
 
4.0%
8 1477
 
2.8%
9 1407
 
2.6%
7 1365
 
2.6%
2 1225
 
2.3%
1 1170
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53508
99.8%
Hangul 88
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 32325
60.4%
4 4771
 
8.9%
3 4316
 
8.1%
5 3332
 
6.2%
6 2120
 
4.0%
8 1477
 
2.8%
9 1407
 
2.6%
7 1365
 
2.6%
2 1225
 
2.3%
1 1170
 
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 

Distinct6194
Distinct (%)79.0%
Missing102
Missing (%)1.3%
Memory size62.2 KiB
2024-04-16T13:13:27.888506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length18.497705
Min length2

Characters and Unicode

Total characters145096
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

Unique5323 ?
Unique (%)67.9%

Sample

1st row1987325001401500001
2nd row1971325001401200003
3rd row1971325001401200004
4th row1976325001401500001
5th row1976325001401500004
ValueCountFrequency (%)
60 199
 
2.5%
3250010-201-2014-00001 6
 
0.1%
2020573002302200002 3
 
< 0.1%
2020573002302200001 3
 
< 0.1%
2020573502402100002 3
 
< 0.1%
2020324026602100002 3
 
< 0.1%
2020508000038500073 3
 
< 0.1%
202062600008500003 3
 
< 0.1%
2020553043002200001 3
 
< 0.1%
2020503005102100002 3
 
< 0.1%
Other values (6184) 7615
97.1%
2024-04-16T13:13:28.343191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 61741
42.6%
2 16866
 
11.6%
1 14436
 
9.9%
3 10991
 
7.6%
5 10752
 
7.4%
8 8338
 
5.7%
9 7456
 
5.1%
4 7011
 
4.8%
6 4495
 
3.1%
7 2983
 
2.1%
Other values (4) 27
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 145069
> 99.9%
Dash Punctuation 24
 
< 0.1%
Other Letter 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 61741
42.6%
2 16866
 
11.6%
1 14436
 
10.0%
3 10991
 
7.6%
5 10752
 
7.4%
8 8338
 
5.7%
9 7456
 
5.1%
4 7011
 
4.8%
6 4495
 
3.1%
7 2983
 
2.1%
Other Letter
ValueCountFrequency (%)
설 1
33.3%
비 1
33.3%
명 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 145093
> 99.9%
Hangul 3
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 61741
42.6%
2 16866
 
11.6%
1 14436
 
9.9%
3 10991
 
7.6%
5 10752
 
7.4%
8 8338
 
5.7%
9 7456
 
5.1%
4 7011
 
4.8%
6 4495
 
3.1%
7 2983
 
2.1%
Hangul
ValueCountFrequency (%)
설 1
33.3%
비 1
33.3%
명 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 145093
> 99.9%
Hangul 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 61741
42.6%
2 16866
 
11.6%
1 14436
 
9.9%
3 10991
 
7.6%
5 10752
 
7.4%
8 8338
 
5.7%
9 7456
 
5.1%
4 7011
 
4.8%
6 4495
 
3.1%
7 2983
 
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 size62.2 KiB
09_28_11_P
4425 
09_28_08_P
1515 
09_28_05_P
944 
09_28_14_P
499 
<NA>
 
285
Other values (8)
 
278

Length

Max length10
Median length10
Mean length9.7739743
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
55.7%
09_28_08_P 1515
 
19.1%
09_28_05_P 944
 
11.9%
09_28_14_P 499
 
6.3%
<NA> 285
 
3.6%
09_28_12_P 73
 
0.9%
09_28_04_P 68
 
0.9%
09_28_13_P 68
 
0.9%
09_28_07_P 24
 
0.3%
차고지면적 16
 
0.2%
Other values (3) 29
 
0.4%

Length

2024-04-16T13:13:28.544541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
09_28_11_p 4425
55.7%
09_28_08_p 1515
 
19.1%
09_28_05_p 944
 
11.9%
09_28_14_p 499
 
6.3%
na 285
 
3.6%
09_28_12_p 73
 
0.9%
09_28_04_p 68
 
0.9%
09_28_13_p 68
 
0.9%
09_28_07_p 24
 
0.3%
차고지면적 16
 
0.2%
Other values (3) 29
 
0.4%

updategbn
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
I
7400 
<NA>
 
285
U
 
244
철도인입선유무명
 
16
소속국가명
 
1

Length

Max length8
Median length1
Mean length1.1221998
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
I 7400
93.1%
<NA> 285
 
3.6%
U 244
 
3.1%
철도인입선유무명 16
 
0.2%
소속국가명 1
 
< 0.1%

Length

2024-04-16T13:13:28.729688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:28.908163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 7400
93.1%
na 285
 
3.6%
u 244
 
3.1%
철도인입선유무명 16
 
0.2%
소속국가명 1
 
< 0.1%

updatedt
Text

MISSING 

Distinct643
Distinct (%)8.4%
Missing265
Missing (%)3.3%
Memory size62.2 KiB
2024-04-16T13:13:29.220678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length20.917198
Min length1

Characters and Unicode

Total characters160665
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

Unique53 ?
Unique (%)0.7%

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
 
9.1%
23:59:59.0 1401
 
9.1%
00:23:23.0 287
 
1.9%
02:40:00.0 242
 
1.6%
00:23:22.0 185
 
1.2%
00:23:25.0 184
 
1.2%
00:23:16.0 171
 
1.1%
00:23:26.0 165
 
1.1%
00:23:21.0 164
 
1.1%
00:23:20.0 152
 
1.0%
Other values (721) 10973
71.6%
2024-04-16T13:13:29.768238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 39295
24.5%
2 27174
16.9%
1 15487
 
9.6%
: 15288
 
9.5%
- 15288
 
9.5%
3 9154
 
5.7%
. 7644
 
4.8%
7644
 
4.8%
9 7306
 
4.5%
5 5144
 
3.2%
Other values (10) 11241
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 114705
71.4%
Other Punctuation 22932
 
14.3%
Dash Punctuation 15288
 
9.5%
Space Separator 7644
 
4.8%
Other Letter 96
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 39295
34.3%
2 27174
23.7%
1 15487
 
13.5%
3 9154
 
8.0%
9 7306
 
6.4%
5 5144
 
4.5%
8 4859
 
4.2%
4 2555
 
2.2%
7 1906
 
1.7%
6 1825
 
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 (%)
: 15288
66.7%
. 7644
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 15288
100.0%
Space Separator
ValueCountFrequency (%)
7644
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 160569
99.9%
Hangul 96
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 39295
24.5%
2 27174
16.9%
1 15487
 
9.6%
: 15288
 
9.5%
- 15288
 
9.5%
3 9154
 
5.7%
. 7644
 
4.8%
7644
 
4.8%
9 7306
 
4.6%
5 5144
 
3.2%
Other values (4) 11145
 
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 160569
99.9%
Hangul 96
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 39295
24.5%
2 27174
16.9%
1 15487
 
9.6%
: 15288
 
9.5%
- 15288
 
9.5%
3 9154
 
5.7%
. 7644
 
4.8%
7644
 
4.8%
9 7306
 
4.6%
5 5144
 
3.2%
Other values (4) 11145
 
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

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
전기사업업체
4425 
<NA>
1505 
고압가스업
944 
특정고압가스업
499 
2021-01-04 20:18:01
 
199
Other values (8)
 
374

Length

Max length19
Median length6
Mean length5.9417317
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
55.7%
<NA> 1505
 
18.9%
고압가스업 944
 
11.9%
특정고압가스업 499
 
6.3%
2021-01-04 20:18:01 199
 
2.5%
석유판매업 112
 
1.4%
전력기술감리업체 73
 
0.9%
계량기증명업 68
 
0.9%
전력기술설계업체 68
 
0.9%
석유및석유대체연료판매업체 24
 
0.3%
Other values (3) 29
 
0.4%

Length

2024-04-16T13:13:29.963141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전기사업업체 4425
54.3%
na 1505
 
18.5%
고압가스업 944
 
11.6%
특정고압가스업 499
 
6.1%
2021-01-04 199
 
2.4%
20:18:01 199
 
2.4%
석유판매업 112
 
1.4%
전력기술감리업체 73
 
0.9%
계량기증명업 68
 
0.8%
전력기술설계업체 68
 
0.8%
Other values (4) 53
 
0.7%

bplcnm
Text

MISSING 

Distinct5657
Distinct (%)74.0%
Missing301
Missing (%)3.8%
Memory size62.2 KiB
2024-04-16T13:13:30.416483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length9.3994768
Min length1

Characters and Unicode

Total characters71859
Distinct characters696
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

Unique4521 ?
Unique (%)59.1%

Sample

1st row고려주유소
2nd row영신석유
3rd row남포석유상사
4th row강남주유소
5th row에스씨(주) 제일주유소
ValueCountFrequency (%)
태양광발전소 2280
 
20.3%
주식회사 165
 
1.5%
발전소 100
 
0.9%
태양광 72
 
0.6%
2호 26
 
0.2%
3호 26
 
0.2%
황용 24
 
0.2%
가야곡 17
 
0.2%
4호 16
 
0.1%
수소충전소 15
 
0.1%
Other values (5967) 8480
75.6%
2024-04-16T13:13:31.120668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 4869
 
6.8%
전 4267
 
5.9%
양 4179
 
5.8%
광 4097
 
5.7%
태 4075
 
5.7%
발 4017
 
5.6%
3578
 
5.0%
주 2314
 
3.2%
) 1702
 
2.4%
( 1700
 
2.4%
Other values (686) 37061
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61168
85.1%
Space Separator 3578
 
5.0%
Decimal Number 2769
 
3.9%
Close Punctuation 1713
 
2.4%
Open Punctuation 1711
 
2.4%
Uppercase Letter 693
 
1.0%
Lowercase Letter 91
 
0.1%
Dash Punctuation 53
 
0.1%
Other Symbol 42
 
0.1%
Other Punctuation 32
 
< 0.1%
Other values (2) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 4869
 
8.0%
전 4267
 
7.0%
양 4179
 
6.8%
광 4097
 
6.7%
태 4075
 
6.7%
발 4017
 
6.6%
주 2314
 
3.8%
호 1621
 
2.7%
유 1565
 
2.6%
지 877
 
1.4%
Other values (619) 29287
47.9%
Uppercase Letter
ValueCountFrequency (%)
S 189
27.3%
K 122
17.6%
C 42
 
6.1%
G 38
 
5.5%
J 35
 
5.1%
H 31
 
4.5%
L 27
 
3.9%
M 25
 
3.6%
E 23
 
3.3%
O 18
 
2.6%
Other values (14) 143
20.6%
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%
n 4
 
4.4%
h 4
 
4.4%
a 4
 
4.4%
f 4
 
4.4%
Other values (6) 14
15.4%
Decimal Number
ValueCountFrequency (%)
1 895
32.3%
2 712
25.7%
3 344
 
12.4%
4 196
 
7.1%
9 149
 
5.4%
5 139
 
5.0%
6 106
 
3.8%
0 97
 
3.5%
8 67
 
2.4%
7 64
 
2.3%
Other Punctuation
ValueCountFrequency (%)
/ 8
25.0%
& 8
25.0%
. 5
15.6%
, 5
15.6%
# 5
15.6%
· 1
 
3.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
33.3%
Ⅱ 1
33.3%
Ⅰ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 1702
99.4%
] 11
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 1700
99.4%
[ 11
 
0.6%
Space Separator
ValueCountFrequency (%)
3578
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 42
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61210
85.2%
Common 9862
 
13.7%
Latin 787
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 4869
 
8.0%
전 4267
 
7.0%
양 4179
 
6.8%
광 4097
 
6.7%
태 4075
 
6.7%
발 4017
 
6.6%
주 2314
 
3.8%
호 1621
 
2.6%
유 1565
 
2.6%
지 877
 
1.4%
Other values (620) 29329
47.9%
Latin
ValueCountFrequency (%)
S 189
24.0%
K 122
15.5%
C 42
 
5.3%
G 38
 
4.8%
J 35
 
4.4%
H 31
 
3.9%
L 27
 
3.4%
M 25
 
3.2%
E 23
 
2.9%
O 18
 
2.3%
Other values (33) 237
30.1%
Common
ValueCountFrequency (%)
3578
36.3%
) 1702
17.3%
( 1700
17.2%
1 895
 
9.1%
2 712
 
7.2%
3 344
 
3.5%
4 196
 
2.0%
9 149
 
1.5%
5 139
 
1.4%
6 106
 
1.1%
Other values (13) 341
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61168
85.1%
ASCII 10645
 
14.8%
None 43
 
0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 4869
 
8.0%
전 4267
 
7.0%
양 4179
 
6.8%
광 4097
 
6.7%
태 4075
 
6.7%
발 4017
 
6.6%
주 2314
 
3.8%
호 1621
 
2.7%
유 1565
 
2.6%
지 877
 
1.4%
Other values (619) 29287
47.9%
ASCII
ValueCountFrequency (%)
3578
33.6%
) 1702
16.0%
( 1700
16.0%
1 895
 
8.4%
2 712
 
6.7%
3 344
 
3.2%
4 196
 
1.8%
S 189
 
1.8%
9 149
 
1.4%
5 139
 
1.3%
Other values (52) 1041
 
9.8%
None
ValueCountFrequency (%)
㈜ 42
97.7%
· 1
 
2.3%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
33.3%
Ⅱ 1
33.3%
Ⅰ 1
33.3%

sitepostno
Text

MISSING 

Distinct105
Distinct (%)13.6%
Missing7175
Missing (%)90.3%
Memory size62.2 KiB
2024-04-16T13:13:31.483650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.7808042
Min length4

Characters and Unicode

Total characters4457
Distinct characters20
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

Unique62 ?
Unique (%)8.0%

Sample

1st row지번우편번호
2nd row51505
3rd row51505
4th row지번우편번호
5th row지번우편번호
ValueCountFrequency (%)
지번우편번호 603
78.2%
58325 6
 
0.8%
39104 6
 
0.8%
27691 5
 
0.6%
31106 4
 
0.5%
48059 3
 
0.4%
54871 3
 
0.4%
22631 3
 
0.4%
54117 3
 
0.4%
27197 3
 
0.4%
Other values (95) 132
 
17.1%
2024-04-16T13:13:32.033308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
번 1206
27.1%
지 603
13.5%
우 603
13.5%
편 603
13.5%
호 603
13.5%
1 116
 
2.6%
2 110
 
2.5%
4 104
 
2.3%
5 101
 
2.3%
3 90
 
2.0%
Other values (10) 318
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3623
81.3%
Decimal Number 834
 
18.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
번 1206
33.3%
지 603
16.6%
우 603
16.6%
편 603
16.6%
호 603
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 (%)
1 116
13.9%
2 110
13.2%
4 104
12.5%
5 101
12.1%
3 90
10.8%
7 71
8.5%
6 66
7.9%
9 61
7.3%
8 59
7.1%
0 56
6.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3623
81.3%
Common 834
 
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
번 1206
33.3%
지 603
16.6%
우 603
16.6%
편 603
16.6%
호 603
16.6%
업 1
 
< 0.1%
종 1
 
< 0.1%
구 1
 
< 0.1%
분 1
 
< 0.1%
명 1
 
< 0.1%
Common
ValueCountFrequency (%)
1 116
13.9%
2 110
13.2%
4 104
12.5%
5 101
12.1%
3 90
10.8%
7 71
8.5%
6 66
7.9%
9 61
7.3%
8 59
7.1%
0 56
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3623
81.3%
ASCII 834
 
18.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
번 1206
33.3%
지 603
16.6%
우 603
16.6%
편 603
16.6%
호 603
16.6%
업 1
 
< 0.1%
종 1
 
< 0.1%
구 1
 
< 0.1%
분 1
 
< 0.1%
명 1
 
< 0.1%
ASCII
ValueCountFrequency (%)
1 116
13.9%
2 110
13.2%
4 104
12.5%
5 101
12.1%
3 90
10.8%
7 71
8.5%
6 66
7.9%
9 61
7.3%
8 59
7.1%
0 56
6.7%

sitewhladdr
Text

MISSING 

Distinct5343
Distinct (%)70.0%
Missing316
Missing (%)4.0%
Memory size62.2 KiB
2024-04-16T13:13:32.578868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length98
Median length72
Mean length26.098689
Min length4

Characters and Unicode

Total characters199133
Distinct characters610
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

Unique4105 ?
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 1568
 
3.8%
경기도 963
 
2.3%
경상북도 881
 
2.1%
전라북도 763
 
1.8%
충청남도 650
 
1.6%
1호 592
 
1.4%
전라남도 568
 
1.4%
경상남도 420
 
1.0%
충청북도 416
 
1.0%
2호 329
 
0.8%
Other values (9089) 34294
82.7%
2024-04-16T13:13:33.393415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36764
 
18.5%
1 7406
 
3.7%
지 6949
 
3.5%
시 6267
 
3.1%
번 6162
 
3.1%
도 5436
 
2.7%
동 5297
 
2.7%
2 4554
 
2.3%
산 4189
 
2.1%
리 4023
 
2.0%
Other values (600) 112086
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 121606
61.1%
Space Separator 36764
 
18.5%
Decimal Number 35302
 
17.7%
Dash Punctuation 3350
 
1.7%
Other Punctuation 828
 
0.4%
Close Punctuation 466
 
0.2%
Open Punctuation 465
 
0.2%
Uppercase Letter 325
 
0.2%
Lowercase Letter 26
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6949
 
5.7%
시 6267
 
5.2%
번 6162
 
5.1%
도 5436
 
4.5%
동 5297
 
4.4%
산 4189
 
3.4%
리 4023
 
3.3%
구 3957
 
3.3%
광 2893
 
2.4%
호 2687
 
2.2%
Other values (550) 73746
60.6%
Uppercase Letter
ValueCountFrequency (%)
S 52
16.0%
K 32
9.8%
A 28
 
8.6%
L 27
 
8.3%
C 27
 
8.3%
B 22
 
6.8%
G 18
 
5.5%
E 17
 
5.2%
T 16
 
4.9%
F 16
 
4.9%
Other values (12) 70
21.5%
Decimal Number
ValueCountFrequency (%)
1 7406
21.0%
2 4554
12.9%
3 3809
10.8%
4 3321
9.4%
5 3252
9.2%
0 2876
 
8.1%
6 2785
 
7.9%
7 2518
 
7.1%
8 2398
 
6.8%
9 2383
 
6.8%
Lowercase Letter
ValueCountFrequency (%)
e 11
42.3%
s 5
19.2%
k 3
 
11.5%
n 2
 
7.7%
o 2
 
7.7%
c 1
 
3.8%
y 1
 
3.8%
l 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 806
97.3%
/ 17
 
2.1%
: 3
 
0.4%
. 1
 
0.1%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
36764
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3350
100.0%
Close Punctuation
ValueCountFrequency (%)
) 466
100.0%
Open Punctuation
ValueCountFrequency (%)
( 465
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 121604
61.1%
Common 77175
38.8%
Latin 351
 
0.2%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6949
 
5.7%
시 6267
 
5.2%
번 6162
 
5.1%
도 5436
 
4.5%
동 5297
 
4.4%
산 4189
 
3.4%
리 4023
 
3.3%
구 3957
 
3.3%
광 2893
 
2.4%
호 2687
 
2.2%
Other values (548) 73744
60.6%
Latin
ValueCountFrequency (%)
S 52
14.8%
K 32
 
9.1%
A 28
 
8.0%
L 27
 
7.7%
C 27
 
7.7%
B 22
 
6.3%
G 18
 
5.1%
E 17
 
4.8%
T 16
 
4.6%
F 16
 
4.6%
Other values (20) 96
27.4%
Common
ValueCountFrequency (%)
36764
47.6%
1 7406
 
9.6%
2 4554
 
5.9%
3 3809
 
4.9%
- 3350
 
4.3%
4 3321
 
4.3%
5 3252
 
4.2%
0 2876
 
3.7%
6 2785
 
3.6%
7 2518
 
3.3%
Other values (9) 6540
 
8.5%
Han
ValueCountFrequency (%)
石 1
33.3%
平 1
33.3%
沙 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 121603
61.1%
ASCII 77526
38.9%
CJK 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36764
47.4%
1 7406
 
9.6%
2 4554
 
5.9%
3 3809
 
4.9%
- 3350
 
4.3%
4 3321
 
4.3%
5 3252
 
4.2%
0 2876
 
3.7%
6 2785
 
3.6%
7 2518
 
3.2%
Other values (39) 6891
 
8.9%
Hangul
ValueCountFrequency (%)
지 6949
 
5.7%
시 6267
 
5.2%
번 6162
 
5.1%
도 5436
 
4.5%
동 5297
 
4.4%
산 4189
 
3.4%
리 4023
 
3.3%
구 3957
 
3.3%
광 2893
 
2.4%
호 2687
 
2.2%
Other values (547) 73743
60.6%
CJK
ValueCountFrequency (%)
石 1
33.3%
平 1
33.3%
沙 1
33.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

rdnpostno
Text

MISSING 

Distinct2602
Distinct (%)34.4%
Missing386
Missing (%)4.9%
Memory size62.2 KiB
2024-04-16T13:13:33.861083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0019841
Min length5

Characters and Unicode

Total characters37815
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

Unique1563 ?
Unique (%)20.7%

Sample

1st row48947
2nd row48947
3rd row48947
4th row48947
5th row48947
ValueCountFrequency (%)
48947 2687
35.5%
39102 26
 
0.3%
28116 26
 
0.3%
39503 24
 
0.3%
39133 18
 
0.2%
39157 16
 
0.2%
31751 15
 
0.2%
39108 14
 
0.2%
51343 14
 
0.2%
39139 13
 
0.2%
Other values (2592) 4707
62.3%
2024-04-16T13:13:34.513310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 7744
20.5%
7 4383
11.6%
9 4343
11.5%
8 4342
11.5%
1 3255
8.6%
5 3208
8.5%
3 3111
8.2%
2 2839
 
7.5%
0 2498
 
6.6%
6 2037
 
5.4%
Other values (12) 55
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37760
99.9%
Other Letter 55
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
명 8
14.5%
편 7
12.7%
호 7
12.7%
번 7
12.7%
로 7
12.7%
우 7
12.7%
도 7
12.7%
원 1
 
1.8%
동 1
 
1.8%
력 1
 
1.8%
Other values (2) 2
 
3.6%
Decimal Number
ValueCountFrequency (%)
4 7744
20.5%
7 4383
11.6%
9 4343
11.5%
8 4342
11.5%
1 3255
8.6%
5 3208
8.5%
3 3111
8.2%
2 2839
 
7.5%
0 2498
 
6.6%
6 2037
 
5.4%

Most occurring scripts

ValueCountFrequency (%)
Common 37760
99.9%
Hangul 55
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
명 8
14.5%
편 7
12.7%
호 7
12.7%
번 7
12.7%
로 7
12.7%
우 7
12.7%
도 7
12.7%
원 1
 
1.8%
동 1
 
1.8%
력 1
 
1.8%
Other values (2) 2
 
3.6%
Common
ValueCountFrequency (%)
4 7744
20.5%
7 4383
11.6%
9 4343
11.5%
8 4342
11.5%
1 3255
8.6%
5 3208
8.5%
3 3111
8.2%
2 2839
 
7.5%
0 2498
 
6.6%
6 2037
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37760
99.9%
Hangul 55
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 7744
20.5%
7 4383
11.6%
9 4343
11.5%
8 4342
11.5%
1 3255
8.6%
5 3208
8.5%
3 3111
8.2%
2 2839
 
7.5%
0 2498
 
6.6%
6 2037
 
5.4%
Hangul
ValueCountFrequency (%)
명 8
14.5%
편 7
12.7%
호 7
12.7%
번 7
12.7%
로 7
12.7%
우 7
12.7%
도 7
12.7%
원 1
 
1.8%
동 1
 
1.8%
력 1
 
1.8%
Other values (2) 2
 
3.6%

rdnwhladdr
Text

MISSING 

Distinct4294
Distinct (%)68.9%
Missing1718
Missing (%)21.6%
Memory size62.2 KiB
2024-04-16T13:13:35.379215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length54
Mean length28.411207
Min length2

Characters and Unicode

Total characters176945
Distinct characters677
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

Unique3278 ?
Unique (%)52.6%

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 1255
 
3.5%
경기도 804
 
2.2%
경상북도 730
 
2.0%
충청남도 519
 
1.4%
전라북도 510
 
1.4%
전라남도 403
 
1.1%
경상남도 380
 
1.1%
충청북도 287
 
0.8%
강원도 248
 
0.7%
구미시 246
 
0.7%
Other values (8579) 30772
85.1%
2024-04-16T13:13:36.033723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30176
 
17.1%
1 6617
 
3.7%
동 5577
 
3.2%
시 5262
 
3.0%
로 4686
 
2.6%
도 4363
 
2.5%
2 4230
 
2.4%
) 3726
 
2.1%
( 3725
 
2.1%
산 3522
 
2.0%
Other values (667) 105061
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105007
59.3%
Space Separator 30176
 
17.1%
Decimal Number 29247
 
16.5%
Close Punctuation 3730
 
2.1%
Open Punctuation 3729
 
2.1%
Other Punctuation 2955
 
1.7%
Dash Punctuation 1755
 
1.0%
Uppercase Letter 307
 
0.2%
Lowercase Letter 26
 
< 0.1%
Math Symbol 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5577
 
5.3%
시 5262
 
5.0%
로 4686
 
4.5%
도 4363
 
4.2%
산 3522
 
3.4%
구 3456
 
3.3%
길 2893
 
2.8%
광 2502
 
2.4%
남 2253
 
2.1%
경 2149
 
2.0%
Other values (612) 68344
65.1%
Uppercase Letter
ValueCountFrequency (%)
S 51
16.6%
A 43
14.0%
K 31
10.1%
C 24
7.8%
L 24
7.8%
B 22
7.2%
G 17
 
5.5%
I 16
 
5.2%
T 14
 
4.6%
E 12
 
3.9%
Other values (13) 53
17.3%
Decimal Number
ValueCountFrequency (%)
1 6617
22.6%
2 4230
14.5%
0 3486
11.9%
3 3201
10.9%
4 2366
 
8.1%
5 2340
 
8.0%
6 1964
 
6.7%
7 1922
 
6.6%
8 1648
 
5.6%
9 1473
 
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 (%)
, 2942
99.6%
. 5
 
0.2%
* 4
 
0.1%
/ 2
 
0.1%
· 1
 
< 0.1%
& 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 3726
99.9%
] 4
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 3725
99.9%
[ 4
 
0.1%
Space Separator
ValueCountFrequency (%)
30176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1755
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105007
59.3%
Common 71604
40.5%
Latin 333
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5577
 
5.3%
시 5262
 
5.0%
로 4686
 
4.5%
도 4363
 
4.2%
산 3522
 
3.4%
구 3456
 
3.3%
길 2893
 
2.8%
광 2502
 
2.4%
남 2253
 
2.1%
경 2149
 
2.0%
Other values (612) 68344
65.1%
Latin
ValueCountFrequency (%)
S 51
15.3%
A 43
12.9%
K 31
 
9.3%
C 24
 
7.2%
L 24
 
7.2%
B 22
 
6.6%
G 17
 
5.1%
I 16
 
4.8%
T 14
 
4.2%
E 12
 
3.6%
Other values (21) 79
23.7%
Common
ValueCountFrequency (%)
30176
42.1%
1 6617
 
9.2%
2 4230
 
5.9%
) 3726
 
5.2%
( 3725
 
5.2%
0 3486
 
4.9%
3 3201
 
4.5%
, 2942
 
4.1%
4 2366
 
3.3%
5 2340
 
3.3%
Other values (13) 8795
 
12.3%
Han
ValueCountFrequency (%)
石 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105006
59.3%
ASCII 71936
40.7%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30176
41.9%
1 6617
 
9.2%
2 4230
 
5.9%
) 3726
 
5.2%
( 3725
 
5.2%
0 3486
 
4.8%
3 3201
 
4.4%
, 2942
 
4.1%
4 2366
 
3.3%
5 2340
 
3.3%
Other values (43) 9127
 
12.7%
Hangul
ValueCountFrequency (%)
동 5577
 
5.3%
시 5262
 
5.0%
로 4686
 
4.5%
도 4363
 
4.2%
산 3522
 
3.4%
구 3456
 
3.3%
길 2893
 
2.8%
광 2502
 
2.4%
남 2253
 
2.1%
경 2149
 
2.0%
Other values (611) 68343
65.1%
CJK
ValueCountFrequency (%)
石 1
100.0%
None
ValueCountFrequency (%)
· 1
50.0%
㈜ 1
50.0%

apvpermymd
Text

MISSING 

Distinct1643
Distinct (%)21.5%
Missing301
Missing (%)3.8%
Memory size62.2 KiB
2024-04-16T13:13:36.479625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.9998692
Min length7

Characters and Unicode

Total characters61159
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

Unique999 ?
Unique (%)13.1%

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%
20181130 39
 
0.5%
20190524 39
 
0.5%
20200228 39
 
0.5%
20200103 38
 
0.5%
Other values (1633) 7224
94.5%
2024-04-16T13:13:37.084193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18512
30.3%
2 14012
22.9%
1 12200
19.9%
9 5819
 
9.5%
8 2161
 
3.5%
3 2103
 
3.4%
7 1728
 
2.8%
4 1614
 
2.6%
5 1536
 
2.5%
6 1462
 
2.4%
Other values (8) 12
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 61147
> 99.9%
Other Letter 7
 
< 0.1%
Space Separator 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18512
30.3%
2 14012
22.9%
1 12200
20.0%
9 5819
 
9.5%
8 2161
 
3.5%
3 2103
 
3.4%
7 1728
 
2.8%
4 1614
 
2.6%
5 1536
 
2.5%
6 1462
 
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 61152
> 99.9%
Hangul 7
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 18512
30.3%
2 14012
22.9%
1 12200
20.0%
9 5819
 
9.5%
8 2161
 
3.5%
3 2103
 
3.4%
7 1728
 
2.8%
4 1614
 
2.6%
5 1536
 
2.5%
6 1462
 
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 61152
> 99.9%
Hangul 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18512
30.3%
2 14012
22.9%
1 12200
20.0%
9 5819
 
9.5%
8 2161
 
3.5%
3 2103
 
3.4%
7 1728
 
2.8%
4 1614
 
2.6%
5 1536
 
2.5%
6 1462
 
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 

Distinct409
Distinct (%)36.8%
Missing6835
Missing (%)86.0%
Memory size62.2 KiB
2024-04-16T13:13:37.490824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length5.7776778
Min length3

Characters and Unicode

Total characters6419
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 (%)32.4%

Sample

1st row20080506
2nd row20160616
3rd row20151126
4th row20101230
5th row20081107
ValueCountFrequency (%)
폐업일자 616
55.4%
20111114 11
 
1.0%
20111031 10
 
0.9%
20120510 10
 
0.9%
20120511 8
 
0.7%
20200228 6
 
0.5%
20051125 3
 
0.3%
20201104 3
 
0.3%
20120308 3
 
0.3%
20120508 3
 
0.3%
Other values (399) 438
39.4%
2024-04-16T13:13:38.083894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1309
20.4%
2 866
13.5%
1 806
12.6%
자 617
9.6%
폐 616
9.6%
업 616
9.6%
일 616
9.6%
3 178
 
2.8%
8 157
 
2.4%
5 141
 
2.2%
Other values (6) 497
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3952
61.6%
Other Letter 2467
38.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1309
33.1%
2 866
21.9%
1 806
20.4%
3 178
 
4.5%
8 157
 
4.0%
5 141
 
3.6%
4 140
 
3.5%
9 123
 
3.1%
7 119
 
3.0%
6 113
 
2.9%
Other Letter
ValueCountFrequency (%)
자 617
25.0%
폐 616
25.0%
업 616
25.0%
일 616
25.0%
본 1
 
< 0.1%
금 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 3952
61.6%
Hangul 2467
38.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1309
33.1%
2 866
21.9%
1 806
20.4%
3 178
 
4.5%
8 157
 
4.0%
5 141
 
3.6%
4 140
 
3.5%
9 123
 
3.1%
7 119
 
3.0%
6 113
 
2.9%
Hangul
ValueCountFrequency (%)
자 617
25.0%
폐 616
25.0%
업 616
25.0%
일 616
25.0%
본 1
 
< 0.1%
금 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3952
61.6%
Hangul 2467
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1309
33.1%
2 866
21.9%
1 806
20.4%
3 178
 
4.5%
8 157
 
4.0%
5 141
 
3.6%
4 140
 
3.5%
9 123
 
3.1%
7 119
 
3.0%
6 113
 
2.9%
Hangul
ValueCountFrequency (%)
자 617
25.0%
폐 616
25.0%
업 616
25.0%
일 616
25.0%
본 1
 
< 0.1%
금 1
 
< 0.1%

clgstdt
Text

MISSING 

Distinct128
Distinct (%)17.2%
Missing7200
Missing (%)90.6%
Memory size62.2 KiB
2024-04-16T13:13:38.536467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.3512064
Min length6

Characters and Unicode

Total characters4738
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 (%)16.4%

Sample

1st row20120501
2nd row20121101
3rd row20141121
4th row20141120
5th row20130121
ValueCountFrequency (%)
휴업시작일자 614
82.3%
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
 
15.8%
2024-04-16T13:13:39.164085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
휴 614
13.0%
업 614
13.0%
시 614
13.0%
작 614
13.0%
일 614
13.0%
자 614
13.0%
0 336
7.1%
1 263
5.6%
2 224
 
4.7%
3 46
 
1.0%
Other values (12) 185
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3690
77.9%
Decimal Number 1048
 
22.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
휴 614
16.6%
업 614
16.6%
시 614
16.6%
작 614
16.6%
일 614
16.6%
자 614
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 3690
77.9%
Common 1048
 
22.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
휴 614
16.6%
업 614
16.6%
시 614
16.6%
작 614
16.6%
일 614
16.6%
자 614
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 3690
77.9%
ASCII 1048
 
22.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
휴 614
16.6%
업 614
16.6%
시 614
16.6%
작 614
16.6%
일 614
16.6%
자 614
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 (%)15.5%
Missing7200
Missing (%)90.6%
Memory size62.2 KiB
2024-04-16T13:13:39.578587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.349866
Min length5

Characters and Unicode

Total characters4737
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 (%)13.4%

Sample

1st row20121231
2nd row20121130
3rd row20150228
4th row20150920
5th row20140120
ValueCountFrequency (%)
휴업종료일자 614
82.3%
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
 
15.0%
2024-04-16T13:13:40.184833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
휴 614
13.0%
종 614
13.0%
료 614
13.0%
일 614
13.0%
자 614
13.0%
업 614
13.0%
0 313
6.6%
1 250
5.3%
2 213
 
4.5%
3 100
 
2.1%
Other values (11) 177
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3689
77.9%
Decimal Number 1048
 
22.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
휴 614
16.6%
종 614
16.6%
료 614
16.6%
일 614
16.6%
자 614
16.6%
업 614
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 3689
77.9%
Common 1048
 
22.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
휴 614
16.6%
종 614
16.6%
료 614
16.6%
일 614
16.6%
자 614
16.6%
업 614
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 3689
77.9%
ASCII 1048
 
22.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
휴 614
16.6%
종 614
16.6%
료 614
16.6%
일 614
16.6%
자 614
16.6%
업 614
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 

Distinct74
Distinct (%)10.7%
Missing7256
Missing (%)91.3%
Memory size62.2 KiB
2024-04-16T13:13:40.528102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.3217391
Min length5

Characters and Unicode

Total characters3672
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

Unique72 ?
Unique (%)10.4%

Sample

1st row20130204
2nd row20121227
3rd row20120806
4th row20140925
5th row20150302
ValueCountFrequency (%)
재개업일자 616
89.3%
20131101 2
 
0.3%
20170320 1
 
0.1%
20180410 1
 
0.1%
20111216 1
 
0.1%
20180118 1
 
0.1%
20171026 1
 
0.1%
20151102 1
 
0.1%
20171103 1
 
0.1%
20160630 1
 
0.1%
Other values (64) 64
 
9.3%
2024-04-16T13:13:41.077969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 617
16.8%
재 616
16.8%
개 616
16.8%
일 616
16.8%
자 616
16.8%
0 170
 
4.6%
1 154
 
4.2%
2 126
 
3.4%
3 31
 
0.8%
6 22
 
0.6%
Other values (12) 88
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3088
84.1%
Decimal Number 584
 
15.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 617
20.0%
재 616
19.9%
개 616
19.9%
일 616
19.9%
자 616
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 (%)
0 170
29.1%
1 154
26.4%
2 126
21.6%
3 31
 
5.3%
6 22
 
3.8%
7 22
 
3.8%
5 21
 
3.6%
4 13
 
2.2%
9 13
 
2.2%
8 12
 
2.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3088
84.1%
Common 584
 
15.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 617
20.0%
재 616
19.9%
개 616
19.9%
일 616
19.9%
자 616
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 (%)
0 170
29.1%
1 154
26.4%
2 126
21.6%
3 31
 
5.3%
6 22
 
3.8%
7 22
 
3.8%
5 21
 
3.6%
4 13
 
2.2%
9 13
 
2.2%
8 12
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3088
84.1%
ASCII 584
 
15.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 617
20.0%
재 616
19.9%
개 616
19.9%
일 616
19.9%
자 616
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 (%)
0 170
29.1%
1 154
26.4%
2 126
21.6%
3 31
 
5.3%
6 22
 
3.8%
7 22
 
3.8%
5 21
 
3.6%
4 13
 
2.2%
9 13
 
2.2%
8 12
 
2.1%

trdstatenm
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
영업/정상
5984 
03
728 
01
 
396
<NA>
 
381
07
 
202
Other values (8)
 
255

Length

Max length8
Median length5
Mean length4.3605588
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 5984
75.3%
03 728
 
9.2%
01 396
 
5.0%
<NA> 381
 
4.8%
07 202
 
2.5%
휴업 137
 
1.7%
06 49
 
0.6%
폐업 28
 
0.4%
02 17
 
0.2%
05 11
 
0.1%
Other values (3) 13
 
0.2%

Length

2024-04-16T13:13:41.325751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
영업/정상 5984
75.3%
03 728
 
9.2%
01 396
 
5.0%
na 381
 
4.8%
07 202
 
2.5%
휴업 137
 
1.7%
06 49
 
0.6%
폐업 28
 
0.4%
02 17
 
0.2%
05 11
 
0.1%
Other values (3) 13
 
0.2%

dtlstatenm
Categorical

IMBALANCE 

Distinct22
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
인허가
4549 
영업중
978 
폐지
729 
<NA>
614 
신규등록
466 
Other values (17)
610 

Length

Max length7
Median length3
Mean length3.1294991
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
인허가 4549
57.2%
영업중 978
 
12.3%
폐지 729
 
9.2%
<NA> 614
 
7.7%
신규등록 466
 
5.9%
영업개시 245
 
3.1%
휴업처리 150
 
1.9%
휴지사업재개 49
 
0.6%
상세영업상태명 38
 
0.5%
휴업 29
 
0.4%
Other values (12) 99
 
1.2%

Length

2024-04-16T13:13:41.520797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인허가 4549
57.2%
영업중 978
 
12.3%
폐지 729
 
9.2%
na 614
 
7.7%
신규등록 466
 
5.9%
영업개시 245
 
3.1%
휴업처리 150
 
1.9%
휴지사업재개 49
 
0.6%
상세영업상태명 38
 
0.5%
휴업 29
 
0.4%
Other values (12) 99
 
1.2%

x
Text

MISSING 

Distinct4535
Distinct (%)66.8%
Missing1153
Missing (%)14.5%
Memory size62.2 KiB
2024-04-16T13:13:41.812527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.900191
Min length5

Characters and Unicode

Total characters135182
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

Unique3372 ?
Unique (%)49.6%

Sample

1st row385717.11248000000
2nd row385732.61555200000
3rd row385535.93263200000
4th row384385.56369900000
5th row384822.48508100000
ValueCountFrequency (%)
좌표정보(x 51
 
0.8%
299622.970745465 24
 
0.4%
238388.54487 20
 
0.3%
327053.528825968 15
 
0.2%
179873.526262 15
 
0.2%
346656.017544079 12
 
0.2%
204522.54328977 11
 
0.2%
298684.641133084 11
 
0.2%
409894.192102297 10
 
0.1%
396006.52488852 10
 
0.1%
Other values (4525) 6614
97.4%
2024-04-16T13:13:42.296333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33789
25.0%
0 13621
10.1%
2 10396
 
7.7%
1 10234
 
7.6%
3 10212
 
7.6%
8 9191
 
6.8%
9 8634
 
6.4%
4 8162
 
6.0%
6 8100
 
6.0%
7 7970
 
5.9%
Other values (15) 14873
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 94353
69.8%
Space Separator 33789
 
25.0%
Other Punctuation 6672
 
4.9%
Other Letter 209
 
0.2%
Close Punctuation 51
 
< 0.1%
Uppercase Letter 51
 
< 0.1%
Open Punctuation 51
 
< 0.1%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13621
14.4%
2 10396
11.0%
1 10234
10.8%
3 10212
10.8%
8 9191
9.7%
9 8634
9.2%
4 8162
8.7%
6 8100
8.6%
7 7970
8.4%
5 7833
8.3%
Other Letter
ValueCountFrequency (%)
좌 51
24.4%
표 51
24.4%
보 51
24.4%
정 51
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 (%)
33789
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6672
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 134922
99.8%
Hangul 209
 
0.2%
Latin 51
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
33789
25.0%
0 13621
10.1%
2 10396
 
7.7%
1 10234
 
7.6%
3 10212
 
7.6%
8 9191
 
6.8%
9 8634
 
6.4%
4 8162
 
6.0%
6 8100
 
6.0%
7 7970
 
5.9%
Other values (5) 14613
10.8%
Hangul
ValueCountFrequency (%)
좌 51
24.4%
표 51
24.4%
보 51
24.4%
정 51
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 51
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 134973
99.8%
Hangul 209
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33789
25.0%
0 13621
10.1%
2 10396
 
7.7%
1 10234
 
7.6%
3 10212
 
7.6%
8 9191
 
6.8%
9 8634
 
6.4%
4 8162
 
6.0%
6 8100
 
6.0%
7 7970
 
5.9%
Other values (6) 14664
10.9%
Hangul
ValueCountFrequency (%)
좌 51
24.4%
표 51
24.4%
보 51
24.4%
정 51
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 

Distinct4535
Distinct (%)66.8%
Missing1153
Missing (%)14.5%
Memory size62.2 KiB
2024-04-16T13:13:42.620112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.900633
Min length7

Characters and Unicode

Total characters135185
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

Unique3372 ?
Unique (%)49.6%

Sample

1st row180436.91578300000
2nd row180996.84119400000
3rd row181386.83062300000
4th row180259.73166600000
5th row180570.89765900000
ValueCountFrequency (%)
좌표정보(y 51
 
0.8%
300778.852158895 24
 
0.4%
357929.966065 20
 
0.3%
296621.739671147 15
 
0.2%
370724.079633 15
 
0.2%
191751.49195202 12
 
0.2%
391621.183962357 11
 
0.2%
292142.034089439 11
 
0.2%
228285.022474076 10
 
0.1%
212453.347885328 10
 
0.1%
Other values (4525) 6614
97.4%
2024-04-16T13:13:43.144158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33696
24.9%
0 13174
 
9.7%
1 10188
 
7.5%
2 9861
 
7.3%
4 9409
 
7.0%
3 9375
 
6.9%
8 8993
 
6.7%
9 8565
 
6.3%
5 8357
 
6.2%
6 8286
 
6.1%
Other values (19) 15281
11.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 94388
69.8%
Space Separator 33696
 
24.9%
Other Punctuation 6672
 
4.9%
Other Letter 212
 
0.2%
Close Punctuation 93
 
0.1%
Uppercase Letter 51
 
< 0.1%
Open Punctuation 51
 
< 0.1%
Dash Punctuation 22
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
표 51
24.1%
좌 51
24.1%
보 51
24.1%
정 51
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 13174
14.0%
1 10188
10.8%
2 9861
10.4%
4 9409
10.0%
3 9375
9.9%
8 8993
9.5%
9 8565
9.1%
5 8357
8.9%
6 8286
8.8%
7 8180
8.7%
Close Punctuation
ValueCountFrequency (%)
) 51
54.8%
] 42
45.2%
Space Separator
ValueCountFrequency (%)
33696
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6672
100.0%
Uppercase Letter
ValueCountFrequency (%)
Y 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 134922
99.8%
Hangul 212
 
0.2%
Latin 51
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
33696
25.0%
0 13174
 
9.8%
1 10188
 
7.6%
2 9861
 
7.3%
4 9409
 
7.0%
3 9375
 
6.9%
8 8993
 
6.7%
9 8565
 
6.3%
5 8357
 
6.2%
6 8286
 
6.1%
Other values (6) 15018
11.1%
Hangul
ValueCountFrequency (%)
표 51
24.1%
좌 51
24.1%
보 51
24.1%
정 51
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 51
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 134973
99.8%
Hangul 212
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33696
25.0%
0 13174
 
9.8%
1 10188
 
7.5%
2 9861
 
7.3%
4 9409
 
7.0%
3 9375
 
6.9%
8 8993
 
6.7%
9 8565
 
6.3%
5 8357
 
6.2%
6 8286
 
6.1%
Other values (7) 15069
11.2%
Hangul
ValueCountFrequency (%)
표 51
24.1%
좌 51
24.1%
보 51
24.1%
정 51
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 

Distinct6154
Distinct (%)80.5%
Missing301
Missing (%)3.8%
Memory size62.2 KiB
2024-04-16T13:13:43.476680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.998954
Min length6

Characters and Unicode

Total characters107022
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

Unique5256 ?
Unique (%)68.8%

Sample

1st row20171121112913
2nd row20091126141034
3rd row20080506160124
4th row20160616152334
5th row20171121112951
ValueCountFrequency (%)
20031106000000 6
 
0.1%
20060123000000 5
 
0.1%
20000810000000 5
 
0.1%
20190412091434 3
 
< 0.1%
20200101145524 3
 
< 0.1%
20190531165823 3
 
< 0.1%
20181130191103 3
 
< 0.1%
20190531165754 3
 
< 0.1%
20200626223321 3
 
< 0.1%
20200403101801 3
 
< 0.1%
Other values (6144) 7608
99.5%
2024-04-16T13:13:44.008762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25695
24.0%
1 23596
22.0%
2 20047
18.7%
9 6430
 
6.0%
3 6374
 
6.0%
5 6276
 
5.9%
4 6163
 
5.8%
8 4353
 
4.1%
7 4345
 
4.1%
6 3737
 
3.5%
Other values (6) 6
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 107016
> 99.9%
Other Letter 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25695
24.0%
1 23596
22.0%
2 20047
18.7%
9 6430
 
6.0%
3 6374
 
6.0%
5 6276
 
5.9%
4 6163
 
5.8%
8 4353
 
4.1%
7 4345
 
4.1%
6 3737
 
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 107016
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25695
24.0%
1 23596
22.0%
2 20047
18.7%
9 6430
 
6.0%
3 6374
 
6.0%
5 6276
 
5.9%
4 6163
 
5.8%
8 4353
 
4.1%
7 4345
 
4.1%
6 3737
 
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 107016
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25695
24.0%
1 23596
22.0%
2 20047
18.7%
9 6430
 
6.0%
3 6374
 
6.0%
5 6276
 
5.9%
4 6163
 
5.8%
8 4353
 
4.1%
7 4345
 
4.1%
6 3737
 
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 size62.2 KiB
<NA>
4914 
일반판매소
758 
제조
749 
주유소
671 
업태구분명
528 
Other values (10)
 
326

Length

Max length19
Median length4
Mean length3.9120312
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4914
61.8%
일반판매소 758
 
9.5%
제조 749
 
9.4%
주유소 671
 
8.4%
업태구분명 528
 
6.6%
저장소 123
 
1.5%
용제판매소 73
 
0.9%
판매 72
 
0.9%
일반대리점 22
 
0.3%
2021-01-04 20:18:01 15
 
0.2%
Other values (5) 21
 
0.3%

Length

2024-04-16T13:13:44.239865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4914
61.7%
일반판매소 758
 
9.5%
제조 749
 
9.4%
주유소 671
 
8.4%
업태구분명 528
 
6.6%
저장소 123
 
1.5%
용제판매소 73
 
0.9%
판매 72
 
0.9%
일반대리점 22
 
0.3%
2021-01-04 21
 
0.3%
Other values (6) 36
 
0.5%

sitetel
Text

MISSING 

Distinct55
Distinct (%)0.8%
Missing734
Missing (%)9.2%
Memory size62.2 KiB
2024-04-16T13:13:44.654675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.933722
Min length4

Characters and Unicode

Total characters86066
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

Unique35 ?
Unique (%)0.5%

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 7092
98.0%
전화번호 48
 
0.7%
06300000000 3
 
< 0.1%
055 3
 
< 0.1%
054 3
 
< 0.1%
04300000000 2
 
< 0.1%
032 2
 
< 0.1%
043 2
 
< 0.1%
052-933-5243 2
 
< 0.1%
0547770104 2
 
< 0.1%
Other values (64) 81
 
1.1%
2024-04-16T13:13:45.119274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 21332
24.8%
3 14266
16.6%
2 14263
16.6%
- 14198
16.5%
0 7253
 
8.4%
5 7172
 
8.3%
4 7157
 
8.3%
6 66
 
0.1%
7 61
 
0.1%
전 48
 
0.1%
Other values (6) 250
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 71648
83.2%
Dash Punctuation 14198
 
16.5%
Other Letter 192
 
0.2%
Space Separator 28
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 21332
29.8%
3 14266
19.9%
2 14263
19.9%
0 7253
 
10.1%
5 7172
 
10.0%
4 7157
 
10.0%
6 66
 
0.1%
7 61
 
0.1%
9 42
 
0.1%
8 36
 
0.1%
Other Letter
ValueCountFrequency (%)
전 48
25.0%
화 48
25.0%
번 48
25.0%
호 48
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 14198
100.0%
Space Separator
ValueCountFrequency (%)
28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 85874
99.8%
Hangul 192
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 21332
24.8%
3 14266
16.6%
2 14263
16.6%
- 14198
16.5%
0 7253
 
8.4%
5 7172
 
8.4%
4 7157
 
8.3%
6 66
 
0.1%
7 61
 
0.1%
9 42
 
< 0.1%
Other values (2) 64
 
0.1%
Hangul
ValueCountFrequency (%)
전 48
25.0%
화 48
25.0%
번 48
25.0%
호 48
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 85874
99.8%
Hangul 192
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 21332
24.8%
3 14266
16.6%
2 14263
16.6%
- 14198
16.5%
0 7253
 
8.4%
5 7172
 
8.4%
4 7157
 
8.3%
6 66
 
0.1%
7 61
 
0.1%
9 42
 
< 0.1%
Other values (2) 64
 
0.1%
Hangul
ValueCountFrequency (%)
전 48
25.0%
화 48
25.0%
번 48
25.0%
호 48
25.0%

gaspdtsortnm
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7330 
가스용품종류명
 
616

Length

Max length7
Median length4
Mean length4.2325698
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> 7330
92.2%
가스용품종류명 616
 
7.8%

Length

2024-04-16T13:13:45.315371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:45.479244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7330
92.2%
가스용품종류명 616
 
7.8%

gassortnm
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7330 
가스종류명
 
616

Length

Max length5
Median length4
Mean length4.0775233
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> 7330
92.2%
가스종류명 616
 
7.8%

Length

2024-04-16T13:13:45.637627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:45.758595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7330
92.2%
가스종류명 616
 
7.8%

upchnm
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7307 
거래처
 
615
기타
 
21
GS칼텍스
 
1
(주)월산에너지
 
1

Length

Max length19
Median length4
Mean length3.9198339
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> 7307
92.0%
거래처 615
 
7.7%
기타 21
 
0.3%
GS칼텍스 1
 
< 0.1%
(주)월산에너지 1
 
< 0.1%
한화토탈(1호), LP,롯데(2호) 1
 
< 0.1%

Length

2024-04-16T13:13:45.902235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:46.057972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7307
91.9%
거래처 615
 
7.7%
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 size62.2 KiB
<NA>
7330 
공급규정내용
 
616

Length

Max length6
Median length4
Mean length4.1550466
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> 7330
92.2%
공급규정내용 616
 
7.8%

Length

2024-04-16T13:13:46.258631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:46.419015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7330
92.2%
공급규정내용 616
 
7.8%

spyvolt
Categorical

IMBALANCE 

Distinct21
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
380
3923 
<NA>
3346 
공급전압
 
175
22,900
 
166
22900
 
111
Other values (16)
 
225

Length

Max length10
Median length3
Mean length3.6185502
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
49.4%
<NA> 3346
42.1%
공급전압 175
 
2.2%
22,900 166
 
2.1%
22900 111
 
1.4%
220/380 108
 
1.4%
220 52
 
0.7%
220-380 22
 
0.3%
154,000 16
 
0.2%
380/220 9
 
0.1%
Other values (11) 18
 
0.2%

Length

2024-04-16T13:13:46.574484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
380 3926
49.4%
na 3346
42.1%
공급전압 175
 
2.2%
22,900 166
 
2.1%
22900 111
 
1.4%
220/380 108
 
1.4%
220 52
 
0.7%
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 size62.2 KiB
<NA>
7330 
길이변경내용
 
616

Length

Max length6
Median length4
Mean length4.1550466
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> 7330
92.2%
길이변경내용 616
 
7.8%

Length

2024-04-16T13:13:46.750144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:46.907947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7330
92.2%
길이변경내용 616
 
7.8%

exmran
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7330 
면제범위
 
616

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> 7330
92.2%
면제범위 616
 
7.8%

Length

2024-04-16T13:13:47.041587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:47.170802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7330
92.2%
면제범위 616
 
7.8%

prdsiz
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7330 
물품규격
 
616

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> 7330
92.2%
물품규격 616
 
7.8%

Length

2024-04-16T13:13:47.311109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:47.447048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7330
92.2%
물품규격 616
 
7.8%

baelt
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7330 
배관길이
 
616

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> 7330
92.2%
배관길이 616
 
7.8%

Length

2024-04-16T13:13:47.598444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:47.727102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7330
92.2%
배관길이 616
 
7.8%

baeesbplc
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7330 
배관설치장소
 
616

Length

Max length6
Median length4
Mean length4.1550466
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> 7330
92.2%
배관설치장소 616
 
7.8%

Length

2024-04-16T13:13:47.891813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:48.052309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7330
92.2%
배관설치장소 616
 
7.8%

offtelno
Categorical

IMBALANCE 

Distinct29
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
051-123-1234
7092 
<NA>
775 
사무소전화번호
 
50
054 762 2255
 
2
0648055525
 
2
Other values (24)
 
25

Length

Max length12
Median length12
Mean length11.184621
Min length4

Unique

Unique23 ?
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 7092
89.3%
<NA> 775
 
9.8%
사무소전화번호 50
 
0.6%
054 762 2255 2
 
< 0.1%
0648055525 2
 
< 0.1%
064 733 9503 2
 
< 0.1%
029999333 1
 
< 0.1%
055 329 5908 1
 
< 0.1%
01021661260 1
 
< 0.1%
032 505 7003 1
 
< 0.1%
Other values (19) 19
 
0.2%

Length

2024-04-16T13:13:48.217241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
051-123-1234 7092
88.9%
na 775
 
9.7%
사무소전화번호 50
 
0.6%
054 3
 
< 0.1%
055 3
 
< 0.1%
733 2
 
< 0.1%
9503 2
 
< 0.1%
032 2
 
< 0.1%
064 2
 
< 0.1%
2255 2
 
< 0.1%
Other values (39) 41
 
0.5%

ofear
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7326 
사무실면적
 
616
0
 
4

Length

Max length5
Median length4
Mean length4.0760131
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> 7326
92.2%
사무실면적 616
 
7.8%
0 4
 
0.1%

Length

2024-04-16T13:13:48.419251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:48.578195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7326
92.2%
사무실면적 616
 
7.8%
0 4
 
0.1%

bsnsopeningprearrymd
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7330 
사업개시예정일자
 
616

Length

Max length8
Median length4
Mean length4.3100931
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> 7330
92.2%
사업개시예정일자 616
 
7.8%

Length

2024-04-16T13:13:48.742322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:48.895207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7330
92.2%
사업개시예정일자 616
 
7.8%

wrkpgrdsrvsenm
Categorical

IMBALANCE 

Distinct24
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7174 
사업장부지용도구분명
 
597
공업용
 
81
기타
 
27
업무용
 
11
Other values (19)
 
56

Length

Max length10
Median length4
Mean length4.4280141
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> 7174
90.3%
사업장부지용도구분명 597
 
7.5%
공업용 81
 
1.0%
기타 27
 
0.3%
업무용 11
 
0.1%
공공용지등 7
 
0.1%
답 7
 
0.1%
전 7
 
0.1%
지정되지않음 7
 
0.1%
위험시설 6
 
0.1%
Other values (14) 22
 
0.3%

Length

2024-04-16T13:13:49.056421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 7174
90.3%
사업장부지용도구분명 597
 
7.5%
공업용 81
 
1.0%
기타 27
 
0.3%
업무용 11
 
0.1%
공공용지등 7
 
0.1%
답 7
 
0.1%
전 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 size62.2 KiB
<NA>
7329 
사업장전화번호
 
615
0417528007
 
1
0414171566
 
1

Length

Max length10
Median length4
Mean length4.2337025
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> 7329
92.2%
사업장전화번호 615
 
7.7%
0417528007 1
 
< 0.1%
0414171566 1
 
< 0.1%

Length

2024-04-16T13:13:49.230621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:49.390263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7329
92.2%
사업장전화번호 615
 
7.7%
0417528007 1
 
< 0.1%
0414171566 1
 
< 0.1%

useobj
Text

MISSING 

Distinct254
Distinct (%)23.9%
Missing6882
Missing (%)86.6%
Memory size62.2 KiB
2024-04-16T13:13:49.886210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length4
Mean length5.6033835
Min length2

Characters and Unicode

Total characters5962
Distinct characters251
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

Unique164 ?
Unique (%)15.4%

Sample

1st row사용목적
2nd row사용목적
3rd rowㅇㅇ
4th row사용목적
5th rowㅇㅇ
ValueCountFrequency (%)
사용목적 565
36.2%
의료용 67
 
4.3%
및 59
 
3.8%
절단 46
 
2.9%
용접 36
 
2.3%
절단용 27
 
1.7%
산소 25
 
1.6%
사용 23
 
1.5%
레이저 21
 
1.3%
용단 19
 
1.2%
Other values (320) 673
43.1%
2024-04-16T13:13:50.626760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
용 917
15.4%
사 604
 
10.1%
적 572
 
9.6%
목 571
 
9.6%
497
 
8.3%
단 145
 
2.4%
절 119
 
2.0%
공 96
 
1.6%
료 92
 
1.5%
의 86
 
1.4%
Other values (241) 2263
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5293
88.8%
Space Separator 497
 
8.3%
Uppercase Letter 44
 
0.7%
Lowercase Letter 40
 
0.7%
Other Punctuation 28
 
0.5%
Open Punctuation 27
 
0.5%
Close Punctuation 27
 
0.5%
Decimal Number 4
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 917
17.3%
사 604
 
11.4%
적 572
 
10.8%
목 571
 
10.8%
단 145
 
2.7%
절 119
 
2.2%
공 96
 
1.8%
료 92
 
1.7%
의 86
 
1.6%
산 86
 
1.6%
Other values (200) 2005
37.9%
Uppercase Letter
ValueCountFrequency (%)
C 10
22.7%
R 4
 
9.1%
N 4
 
9.1%
M 3
 
6.8%
S 3
 
6.8%
T 3
 
6.8%
H 3
 
6.8%
G 2
 
4.5%
V 2
 
4.5%
D 2
 
4.5%
Other values (6) 8
18.2%
Lowercase Letter
ValueCountFrequency (%)
a 6
15.0%
e 6
15.0%
r 4
10.0%
l 4
10.0%
c 4
10.0%
i 3
7.5%
u 2
 
5.0%
t 2
 
5.0%
m 2
 
5.0%
h 2
 
5.0%
Other values (5) 5
12.5%
Other Punctuation
ValueCountFrequency (%)
, 21
75.0%
/ 6
 
21.4%
* 1
 
3.6%
Decimal Number
ValueCountFrequency (%)
3 2
50.0%
9 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
497
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5293
88.8%
Common 585
 
9.8%
Latin 84
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 917
17.3%
사 604
 
11.4%
적 572
 
10.8%
목 571
 
10.8%
단 145
 
2.7%
절 119
 
2.2%
공 96
 
1.8%
료 92
 
1.7%
의 86
 
1.6%
산 86
 
1.6%
Other values (200) 2005
37.9%
Latin
ValueCountFrequency (%)
C 10
 
11.9%
a 6
 
7.1%
e 6
 
7.1%
R 4
 
4.8%
r 4
 
4.8%
l 4
 
4.8%
c 4
 
4.8%
N 4
 
4.8%
M 3
 
3.6%
S 3
 
3.6%
Other values (21) 36
42.9%
Common
ValueCountFrequency (%)
497
85.0%
( 27
 
4.6%
) 27
 
4.6%
, 21
 
3.6%
/ 6
 
1.0%
~ 2
 
0.3%
3 2
 
0.3%
9 1
 
0.2%
1 1
 
0.2%
* 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5287
88.7%
ASCII 669
 
11.2%
Compat Jamo 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
용 917
17.3%
사 604
 
11.4%
적 572
 
10.8%
목 571
 
10.8%
단 145
 
2.7%
절 119
 
2.3%
공 96
 
1.8%
료 92
 
1.7%
의 86
 
1.6%
산 86
 
1.6%
Other values (199) 1999
37.8%
ASCII
ValueCountFrequency (%)
497
74.3%
( 27
 
4.0%
) 27
 
4.0%
, 21
 
3.1%
C 10
 
1.5%
/ 6
 
0.9%
a 6
 
0.9%
e 6
 
0.9%
R 4
 
0.6%
r 4
 
0.6%
Other values (31) 61
 
9.1%
Compat Jamo
ValueCountFrequency (%)
ㅇ 6
100.0%

usemet
Text

MISSING 

Distinct284
Distinct (%)26.7%
Missing6882
Missing (%)86.6%
Memory size62.2 KiB
2024-04-16T13:13:51.113954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length4
Mean length7.3167293
Min length1

Characters and Unicode

Total characters7785
Distinct characters302
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

Unique187 ?
Unique (%)17.6%

Sample

1st row사용방법
2nd row사용방법
3rd rowㅇㅇ
4th row사용방법
5th rowㅇㅇ
ValueCountFrequency (%)
사용방법 565
28.7%
및 57
 
2.9%
사용 57
 
2.9%
절단 46
 
2.3%
의료용 39
 
2.0%
용접 36
 
1.8%
산소 34
 
1.7%
공급 31
 
1.6%
통해 23
 
1.2%
후 21
 
1.1%
Other values (466) 1062
53.9%
2024-04-16T13:13:52.350730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
용 922
 
11.8%
918
 
11.8%
사 659
 
8.5%
방 568
 
7.3%
법 565
 
7.3%
기 165
 
2.1%
소 146
 
1.9%
산 138
 
1.8%
단 120
 
1.5%
공 112
 
1.4%
Other values (292) 3472
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6477
83.2%
Space Separator 918
 
11.8%
Uppercase Letter 99
 
1.3%
Lowercase Letter 82
 
1.1%
Decimal Number 75
 
1.0%
Other Punctuation 62
 
0.8%
Open Punctuation 23
 
0.3%
Close Punctuation 23
 
0.3%
Dash Punctuation 14
 
0.2%
Math Symbol 12
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 922
 
14.2%
사 659
 
10.2%
방 568
 
8.8%
법 565
 
8.7%
기 165
 
2.5%
소 146
 
2.3%
산 138
 
2.1%
단 120
 
1.9%
공 112
 
1.7%
화 104
 
1.6%
Other values (232) 2978
46.0%
Lowercase Letter
ValueCountFrequency (%)
a 13
15.9%
e 9
11.0%
g 8
9.8%
k 8
9.8%
t 7
8.5%
i 6
 
7.3%
r 4
 
4.9%
c 4
 
4.9%
l 4
 
4.9%
n 4
 
4.9%
Other values (9) 15
18.3%
Uppercase Letter
ValueCountFrequency (%)
R 10
 
10.1%
L 10
 
10.1%
C 10
 
10.1%
E 8
 
8.1%
P 8
 
8.1%
G 7
 
7.1%
T 6
 
6.1%
M 6
 
6.1%
N 4
 
4.0%
D 4
 
4.0%
Other values (8) 26
26.3%
Decimal Number
ValueCountFrequency (%)
7 15
20.0%
2 10
13.3%
1 10
13.3%
0 9
12.0%
3 8
10.7%
4 7
9.3%
9 5
 
6.7%
6 4
 
5.3%
8 4
 
5.3%
5 3
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 27
43.5%
. 18
29.0%
* 8
 
12.9%
: 4
 
6.5%
/ 3
 
4.8%
' 2
 
3.2%
Math Symbol
ValueCountFrequency (%)
> 10
83.3%
× 1
 
8.3%
~ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
918
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6477
83.2%
Common 1127
 
14.5%
Latin 181
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 922
 
14.2%
사 659
 
10.2%
방 568
 
8.8%
법 565
 
8.7%
기 165
 
2.5%
소 146
 
2.3%
산 138
 
2.1%
단 120
 
1.9%
공 112
 
1.7%
화 104
 
1.6%
Other values (232) 2978
46.0%
Latin
ValueCountFrequency (%)
a 13
 
7.2%
R 10
 
5.5%
L 10
 
5.5%
C 10
 
5.5%
e 9
 
5.0%
E 8
 
4.4%
g 8
 
4.4%
k 8
 
4.4%
P 8
 
4.4%
G 7
 
3.9%
Other values (27) 90
49.7%
Common
ValueCountFrequency (%)
918
81.5%
, 27
 
2.4%
( 23
 
2.0%
) 23
 
2.0%
. 18
 
1.6%
7 15
 
1.3%
- 14
 
1.2%
> 10
 
0.9%
2 10
 
0.9%
1 10
 
0.9%
Other values (13) 59
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6471
83.1%
ASCII 1307
 
16.8%
Compat Jamo 6
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
용 922
 
14.2%
사 659
 
10.2%
방 568
 
8.8%
법 565
 
8.7%
기 165
 
2.5%
소 146
 
2.3%
산 138
 
2.1%
단 120
 
1.9%
공 112
 
1.7%
화 104
 
1.6%
Other values (231) 2972
45.9%
ASCII
ValueCountFrequency (%)
918
70.2%
, 27
 
2.1%
( 23
 
1.8%
) 23
 
1.8%
. 18
 
1.4%
7 15
 
1.1%
- 14
 
1.1%
a 13
 
1.0%
> 10
 
0.8%
2 10
 
0.8%
Other values (49) 236
 
18.1%
Compat Jamo
ValueCountFrequency (%)
ㅇ 6
100.0%
None
ValueCountFrequency (%)
× 1
100.0%

dsnrspvsnsortnm
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7201 
설계감리업종류명
 
604
전문감리업
 
70
전문설계업2종
 
39
전문설계업1종
 
25
Other values (2)
 
7

Length

Max length8
Median length4
Mean length4.3379059
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> 7201
90.6%
설계감리업종류명 604
 
7.6%
전문감리업 70
 
0.9%
전문설계업2종 39
 
0.5%
전문설계업1종 25
 
0.3%
종합설계업 4
 
0.1%
종합감리업 3
 
< 0.1%

Length

2024-04-16T13:13:52.577688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:52.754019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7201
90.6%
설계감리업종류명 604
 
7.6%
전문감리업 70
 
0.9%
전문설계업2종 39
 
0.5%
전문설계업1종 25
 
0.3%
종합설계업 4
 
0.1%
종합감리업 3
 
< 0.1%

equnm
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7331 
설비명
 
615

Length

Max length4
Median length4
Mean length3.9226026
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> 7331
92.3%
설비명 615
 
7.7%

Length

2024-04-16T13:13:52.937650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:53.077172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7331
92.3%
설비명 615
 
7.7%

equcap
Text

MISSING 

Distinct1034
Distinct (%)22.5%
Missing3347
Missing (%)42.1%
Memory size62.2 KiB
2024-04-16T13:13:53.501022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.5936073
Min length1

Characters and Unicode

Total characters21126
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 (%)12.5%

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%
99.84 182
 
4.0%
설비용량 174
 
3.8%
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
66.8%
2024-04-16T13:13:54.168985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 5893
27.9%
. 3932
18.6%
8 1638
 
7.8%
2 1636
 
7.7%
4 1511
 
7.2%
6 1423
 
6.7%
5 1175
 
5.6%
1 1084
 
5.1%
7 809
 
3.8%
3 803
 
3.8%
Other values (5) 1222
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16498
78.1%
Other Punctuation 3932
 
18.6%
Other Letter 696
 
3.3%

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 174
25.0%
비 174
25.0%
용 174
25.0%
량 174
25.0%
Other Punctuation
ValueCountFrequency (%)
. 3932
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20430
96.7%
Hangul 696
 
3.3%

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 174
25.0%
비 174
25.0%
용 174
25.0%
량 174
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20430
96.7%
Hangul 696
 
3.3%

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 174
25.0%
비 174
25.0%
용 174
25.0%
량 174
25.0%

stanm
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7294 
소속국가명
 
612
대한민국
 
39
3278
 
1

Length

Max length5
Median length4
Mean length4.0770199
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> 7294
91.8%
소속국가명 612
 
7.7%
대한민국 39
 
0.5%
3278 1
 
< 0.1%

Length

2024-04-16T13:13:54.397739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:54.574789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7294
91.8%
소속국가명 612
 
7.7%
대한민국 39
 
0.5%
3278 1
 
< 0.1%

sygrglstcnt
Text

MISSING 

Distinct76
Distinct (%)7.3%
Missing6903
Missing (%)86.9%
Memory size62.2 KiB
2024-04-16T13:13:54.843557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length3.4985618
Min length1

Characters and Unicode

Total characters3649
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 (%)3.3%

Sample

1st row수용정원수
2nd row수용정원수
3rd row1
4th row수용정원수
5th row1
ValueCountFrequency (%)
수용정원수 565
54.2%
10 54
 
5.2%
5 50
 
4.8%
0 40
 
3.8%
2 35
 
3.4%
4 34
 
3.3%
6 18
 
1.7%
50 17
 
1.6%
3 17
 
1.6%
20 13
 
1.2%
Other values (66) 200
 
19.2%
2024-04-16T13:13:55.309497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 1130
31.0%
용 565
15.5%
정 565
15.5%
원 565
15.5%
0 260
 
7.1%
1 160
 
4.4%
2 105
 
2.9%
5 104
 
2.9%
3 60
 
1.6%
4 53
 
1.5%
Other values (4) 82
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2825
77.4%
Decimal Number 824
 
22.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 260
31.6%
1 160
19.4%
2 105
12.7%
5 104
 
12.6%
3 60
 
7.3%
4 53
 
6.4%
6 28
 
3.4%
7 23
 
2.8%
8 17
 
2.1%
9 14
 
1.7%
Other Letter
ValueCountFrequency (%)
수 1130
40.0%
용 565
20.0%
정 565
20.0%
원 565
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2825
77.4%
Common 824
 
22.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 260
31.6%
1 160
19.4%
2 105
12.7%
5 104
 
12.6%
3 60
 
7.3%
4 53
 
6.4%
6 28
 
3.4%
7 23
 
2.8%
8 17
 
2.1%
9 14
 
1.7%
Hangul
ValueCountFrequency (%)
수 1130
40.0%
용 565
20.0%
정 565
20.0%
원 565
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2825
77.4%
ASCII 824
 
22.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 1130
40.0%
용 565
20.0%
정 565
20.0%
원 565
20.0%
ASCII
ValueCountFrequency (%)
0 260
31.6%
1 160
19.4%
2 105
12.7%
5 104
 
12.6%
3 60
 
7.3%
4 53
 
6.4%
6 28
 
3.4%
7 23
 
2.8%
8 17
 
2.1%
9 14
 
1.7%

faciluseyn
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7331 
시
 
615

Length

Max length4
Median length4
Mean length3.7678077
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> 7331
92.3%
시 615
 
7.7%

Length

2024-04-16T13:13:55.510058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:55.657299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7331
92.3%
시 615
 
7.7%

realcapt
Categorical

IMBALANCE 

Distinct41
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7201 
실질자본금
 
604
0
 
43
50000000
 
35
51000000
 
6
Other values (36)
 
57

Length

Max length10
Median length4
Mean length4.1127611
Min length1

Unique

Unique24 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7201
90.6%
실질자본금 604
 
7.6%
0 43
 
0.5%
50000000 35
 
0.4%
51000000 6
 
0.1%
100000000 5
 
0.1%
30000000 4
 
0.1%
200000000 3
 
< 0.1%
10000000 3
 
< 0.1%
211302500 3
 
< 0.1%
Other values (31) 39
 
0.5%

Length

2024-04-16T13:13:55.807529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 7201
90.6%
실질자본금 604
 
7.6%
0 43
 
0.5%
50000000 35
 
0.4%
51000000 6
 
0.1%
100000000 5
 
0.1%
30000000 4
 
0.1%
200000000 3
 
< 0.1%
10000000 3
 
< 0.1%
211302500 3
 
< 0.1%
Other values (31) 39
 
0.5%

cobgbnnm
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7201 
업종구분명
 
604
감리업
 
73
설계업
 
68

Length

Max length5
Median length4
Mean length4.0582683
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> 7201
90.6%
업종구분명 604
 
7.6%
감리업 73
 
0.9%
설계업 68
 
0.9%

Length

2024-04-16T13:13:56.001676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:56.163179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7201
90.6%
업종구분명 604
 
7.6%
감리업 73
 
0.9%
설계업 68
 
0.9%

instrstoroomar
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7327 
용기저장실면적
 
615
0
 
4

Length

Max length7
Median length4
Mean length4.2306821
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> 7327
92.2%
용기저장실면적 615
 
7.7%
0 4
 
0.1%

Length

2024-04-16T13:13:56.315874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:56.477254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7327
92.2%
용기저장실면적 615
 
7.7%
0 4
 
0.1%

motpowersortnm
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
태양광
4397 
<NA>
3348 
원동력종류명
 
174
소수력
 
8
연료전지
 
7
Other values (4)
 
12

Length

Max length7
Median length3
Mean length3.4885477
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
55.3%
<NA> 3348
42.1%
원동력종류명 174
 
2.2%
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

2024-04-16T13:13:56.626874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:56.786613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 4397
55.3%
na 3348
42.1%
원동력종류명 174
 
2.2%
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 

Distinct149
Distinct (%)14.3%
Missing6903
Missing (%)86.9%
Memory size62.2 KiB
2024-04-16T13:13:57.132590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length3.8542665
Min length1

Characters and Unicode

Total characters4020
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

Unique73 ?
Unique (%)7.0%

Sample

1st row월사용량
2nd row월사용량
3rd row1
4th row월사용량
5th row1
ValueCountFrequency (%)
월사용량 565
54.2%
1000 37
 
3.5%
1500 23
 
2.2%
10000 23
 
2.2%
3000 20
 
1.9%
4000 18
 
1.7%
5000 15
 
1.4%
2000 15
 
1.4%
200 10
 
1.0%
0 9
 
0.9%
Other values (139) 308
29.5%
2024-04-16T13:13:57.707745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 854
21.2%
월 565
14.1%
사 565
14.1%
용 565
14.1%
량 565
14.1%
1 197
 
4.9%
5 144
 
3.6%
2 114
 
2.8%
4 93
 
2.3%
3 89
 
2.2%
Other values (5) 269
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2260
56.2%
Decimal Number 1710
42.5%
Other Punctuation 50
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 854
49.9%
1 197
 
11.5%
5 144
 
8.4%
2 114
 
6.7%
4 93
 
5.4%
3 89
 
5.2%
8 64
 
3.7%
6 62
 
3.6%
7 55
 
3.2%
9 38
 
2.2%
Other Letter
ValueCountFrequency (%)
월 565
25.0%
사 565
25.0%
용 565
25.0%
량 565
25.0%
Other Punctuation
ValueCountFrequency (%)
. 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2260
56.2%
Common 1760
43.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 854
48.5%
1 197
 
11.2%
5 144
 
8.2%
2 114
 
6.5%
4 93
 
5.3%
3 89
 
5.1%
8 64
 
3.6%
6 62
 
3.5%
7 55
 
3.1%
. 50
 
2.8%
Hangul
ValueCountFrequency (%)
월 565
25.0%
사 565
25.0%
용 565
25.0%
량 565
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2260
56.2%
ASCII 1760
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 854
48.5%
1 197
 
11.2%
5 144
 
8.2%
2 114
 
6.5%
4 93
 
5.3%
3 89
 
5.1%
8 64
 
3.6%
6 62
 
3.5%
7 55
 
3.1%
. 50
 
2.8%
Hangul
ValueCountFrequency (%)
월 565
25.0%
사 565
25.0%
용 565
25.0%
량 565
25.0%

cyprpdtfacil
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7331 
윤전기생산시설
 
615

Length

Max length7
Median length4
Mean length4.2321923
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> 7331
92.3%
윤전기생산시설 615
 
7.7%

Length

2024-04-16T13:13:57.909955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:58.065727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7331
92.3%
윤전기생산시설 615
 
7.7%

capt
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7310 
자본금
 
614
100000000
 
19
200000000
 
1
8694541000
 
1

Length

Max length10
Median length4
Mean length3.9365719
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> 7310
92.0%
자본금 614
 
7.7%
100000000 19
 
0.2%
200000000 1
 
< 0.1%
8694541000 1
 
< 0.1%
50000000 1
 
< 0.1%

Length

2024-04-16T13:13:58.230225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:58.394619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7310
92.0%
자본금 614
 
7.7%
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 size62.2 KiB
<NA>
7331 
저장설비위치
 
615

Length

Max length6
Median length4
Mean length4.1547949
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> 7331
92.3%
저장설비위치 615
 
7.7%

Length

2024-04-16T13:13:58.581664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:58.741578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7331
92.3%
저장설비위치 615
 
7.7%

scoalar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7331 
저탄장면적
 
615

Length

Max length5
Median length4
Mean length4.0773974
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> 7331
92.3%
저탄장면적 615
 
7.7%

Length

2024-04-16T13:13:58.889657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:13:59.033342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7331
92.3%
저탄장면적 615
 
7.7%

permcn
Text

MISSING 

Distinct316
Distinct (%)10.1%
Missing4826
Missing (%)60.7%
Memory size62.2 KiB
2024-04-16T13:13:59.389257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length209
Median length46
Mean length15.495192
Min length1

Characters and Unicode

Total characters48345
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 (%)4.2%

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 376
 
3.3%
및 316
 
2.8%
등 311
 
2.7%
개별법 231
 
2.0%
인허가를 210
 
1.8%
Other values (399) 7584
66.1%
2024-04-16T13:14:00.016443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8351
 
17.3%
조 2542
 
5.3%
가 2443
 
5.1%
허 2357
 
4.9%
건 1889
 
3.9%
이 1471
 
3.0%
행 1298
 
2.7%
사 1271
 
2.6%
기 887
 
1.8%
업 886
 
1.8%
Other values (219) 24950
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37453
77.5%
Space Separator 8351
 
17.3%
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 2542
 
6.8%
가 2443
 
6.5%
허 2357
 
6.3%
건 1889
 
5.0%
이 1471
 
3.9%
행 1298
 
3.5%
사 1271
 
3.4%
기 887
 
2.4%
업 886
 
2.4%
별 862
 
2.3%
Other values (187) 21547
57.5%
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 37453
77.5%
Common 10886
 
22.5%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 2542
 
6.8%
가 2443
 
6.5%
허 2357
 
6.3%
건 1889
 
5.0%
이 1471
 
3.9%
행 1298
 
3.5%
사 1271
 
3.4%
기 887
 
2.4%
업 886
 
2.4%
별 862
 
2.3%
Other values (187) 21547
57.5%
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 37452
77.5%
ASCII 10835
 
22.4%
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 2542
 
6.8%
가 2443
 
6.5%
허 2357
 
6.3%
건 1889
 
5.0%
이 1471
 
3.9%
행 1298
 
3.5%
사 1271
 
3.4%
기 887
 
2.4%
업 886
 
2.4%
별 862
 
2.3%
Other values (186) 21546
57.5%
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 size62.2 KiB
<NA>
6689 
제조구분명
 
534
냉동
 
414
충전
 
200
일반
 
97

Length

Max length5
Median length4
Mean length3.8852253
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> 6689
84.2%
제조구분명 534
 
6.7%
냉동 414
 
5.2%
충전 200
 
2.5%
일반 97
 
1.2%
특정 12
 
0.2%

Length

2024-04-16T13:14:00.221618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:14:00.379714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6689
84.2%
제조구분명 534
 
6.7%
냉동 414
 
5.2%
충전 200
 
2.5%
일반 97
 
1.2%
특정 12
 
0.2%

frequ
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
60
4220 
<NA>
3546 
주파수
 
174
30
 
3
380
 
2

Length

Max length4
Median length2
Mean length2.914674
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
53.1%
<NA> 3546
44.6%
주파수 174
 
2.2%
30 3
 
< 0.1%
380 2
 
< 0.1%
50 1
 
< 0.1%

Length

2024-04-16T13:14:00.548284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:14:00.715420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 4220
53.1%
na 3546
44.6%
주파수 174
 
2.2%
30 3
 
< 0.1%
380 2
 
< 0.1%
50 1
 
< 0.1%

cgpar
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7343 
차고지면적
 
599
0
 
4

Length

Max length5
Median length4
Mean length4.0738736
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> 7343
92.4%
차고지면적 599
 
7.5%
0 4
 
0.1%

Length

2024-04-16T13:14:00.884667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:14:01.040787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7343
92.4%
차고지면적 599
 
7.5%
0 4
 
0.1%

rlservlnennm
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7347 
철도인입선유무명
 
599

Length

Max length8
Median length4
Mean length4.3015354
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> 7347
92.5%
철도인입선유무명 599
 
7.5%

Length

2024-04-16T13:14:01.212976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:14:01.363230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7347
92.5%
철도인입선유무명 599
 
7.5%

tregascap
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
<NA>
7347 
취급가스용량
 
599

Length

Max length6
Median length4
Mean length4.1507677
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> 7347
92.5%
취급가스용량 599
 
7.5%

Length

2024-04-16T13:14:01.534341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:14:01.671175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7347
92.5%
취급가스용량 599
 
7.5%

last_load_dttm
Date

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing522
Missing (%)6.6%
Memory size62.2 KiB
Minimum2021-01-04 20:18:00
Maximum2021-01-04 20:18:02
2024-04-16T13:14:01.803210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T13:14:01.951485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

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>2021-01-04 20:18:00
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>2021-01-04 20:18:00
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>2021-01-04 20:18:00
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>2021-01-04 20:18:00
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>2021-01-04 20:18:00
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>2021-01-04 20:18:00
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>2021-01-04 20:18:00
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>2021-01-04 20:18:00
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>2021-01-04 20:18:00
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>2021-01-04 20:18:00
skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelgaspdtsortnmgassortnmupchnmsuprulesctnspyvoltltchgcnexmranprdsizbaeltbaeesbplcofftelnoofearbsnsopeningprearrymdwrkpgrdsrvsenmwrkptelnouseobjusemetdsnrspvsnsortnmequnmequcapstanmsygrglstcntfaciluseynrealcaptcobgbnnminstrstoroomarmotpowersortnmbmonuseqycyprpdtfacilcaptsaveequlocscoalarpermcnprdsenmfrequcgparrlservlnennmtregascaplast_load_dttm
793676355080000202050802380650000209_28_04_PI2021-01-01 00:23:05.0계량기증명업(주)효성에코지번우편번호경상북도 구미시 도개면 가산리 32239103경상북도 구미시 도개면 용산가산길 41320201230폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중317099.30420078313278.6736025120201230133007업태구분명0544766665가스용품종류명가스종류명거래처공급규정내용공급전압길이변경내용면제범위물품규격배관길이배관설치장소0544766665사무실면적사업개시예정일자사업장부지용도구분명사업장전화번호사용목적사용방법설계감리업종류명설비명설비용량소속국가명수용정원수시실질자본금업종구분명용기저장실면적원동력종류명월사용량윤전기생산시설자본금저장설비위치저탄장면적전기사업허가조건제조구분명주파수차고지면적철도인입선유무명취급가스용량2021-01-04 20:18:02
793776364490000202044903770210000209_28_05_PI2021-01-01 00:23:05.0고압가스업린데수소충전소-입장휴게소(서울방향)<NA>충청남도 천안시 서북구 입장면 가산리 362-131026충청남도 천안시 서북구 입장면 연곡길 407, 입장휴게소20201230<NA><NA><NA><NA>영업/정상영업중217218.675987382322.28654520201230171453제조<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>도로등<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>충전<NA><NA><NA><NA>2021-01-04 20:18:02
793876373490000202034902020210000209_28_05_PI2021-01-01 00:23:05.0고압가스업하이넷 인천공항2 수소충전소<NA>인천광역시 중구 운서동 3231 운서동 3231잡, 운서동 2833-622382인천광역시 중구 제2터미널대로 343, 하이넷 인천공항2 수소충전소 (운서동)20201230<NA><NA><NA><NA>영업/정상영업중148797.27176598443072.44638787420201230095451제조<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>충전<NA><NA><NA><NA>2021-01-04 20:18:02
793976383520000202035201751220000109_28_14_PI2021-01-01 00:23:05.0특정고압가스업경인의료재활센터병원<NA>인천광역시 연수구 연수동 220 인천적십자병원21935인천광역시 연수구 원인재로 263, 인천적십자병원 (연수동)20201230<NA><NA><NA><NA>영업/정상<NA>172451.438069673435193.97269761620201230101127<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>의료용의료용 산소공급<NA><NA><NA><NA>120<NA><NA><NA><NA><NA>5100<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-01-04 20:18:02
794076394670000202046702380220000309_28_05_PI2021-01-01 00:23:05.0고압가스업(주)제이아이테크<NA>전라북도 군산시 오식도동 884-854002전라북도 군산시 중가도길 16 (오식도동)20201230<NA><NA><NA><NA>영업/정상영업중160791.679986272095.68730220201230174359제조<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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>2021-01-04 20:18:02
794176404470000202044701020210001209_28_05_PI2021-01-01 00:23:05.0고압가스업대한적십자사 혈장분획센터<NA>충청북도 음성군 감곡면 단평리 171-1 대한적십자사 혈장분획센터27600충청북도 음성군 감곡면 대학길232번길 16, 대한적십자사 혈장분획센터20201230<NA><NA><NA><NA>영업/정상영업중257219.987885404600.09394720201230094234제조<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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>2021-01-04 20:18:02
794276415530000202055304300210002509_28_05_PI2021-01-01 00:23:05.0고압가스업에코보보스(주)<NA>경기도 화성시 남양읍 장덕리 1065-518281경기도 화성시 남양읍 남양로 23920201229<NA><NA><NA><NA>영업/정상영업중182854.690248451406889.84855664420201230135228저장소<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-01-04 20:18:02
794376424720000202047201530210000709_28_05_PI2021-01-02 00:23:15.0고압가스업일진복합소재 주식회사지번우편번호전라북도 완주군 봉동읍 용암리 802-15 일진복합소재(주)55322전라북도 완주군 봉동읍 완주산단5로 97-46, 일진복합소재(주)20201231폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중211559.555085271755.54551220201231141419저장소전화번호가스용품종류명가스종류명거래처공급규정내용공급전압길이변경내용면제범위물품규격배관길이배관설치장소사무소전화번호사무실면적사업개시예정일자사업장부지용도구분명사업장전화번호사용목적사용방법설계감리업종류명설비명설비용량소속국가명수용정원수시실질자본금업종구분명용기저장실면적원동력종류명월사용량윤전기생산시설자본금저장설비위치저탄장면적전기사업허가조건제조구분명주파수차고지면적철도인입선유무명취급가스용량2021-01-04 20:18:02
794476435440000202054401650210000209_28_05_PI2021-01-02 00:23:15.0고압가스업한국남부발전(주) 하동발전본부<NA>경상남도 하동군 금성면 가덕리 31052353경상남도 하동군 금성면 경제산업로 50920201230<NA><NA><NA><NA>영업/정상영업중274873.101000931161728.59212390220201231091857제조<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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>2021-01-04 20:18:02
794576444140000202041401100210000109_28_05_PI2021-01-02 00:23:15.0고압가스업(주)디제이에이엘<NA>경기도 연천군 백학면 통구리 107611049경기도 연천군 백학면 백학산단길 41220201230<NA><NA><NA><NA>영업/정상영업중193150.510753572501886.77981958120201231083227저장소<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-01-04 20:18:02

Duplicate rows

Most frequently occurring

skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelgaspdtsortnmgassortnmupchnmsuprulesctnspyvoltltchgcnexmranprdsizbaeltbaeesbplcofftelnoofearbsnsopeningprearrymdwrkpgrdsrvsenmwrkptelnouseobjusemetdsnrspvsnsortnmequnmequcapstanmsygrglstcntfaciluseynrealcaptcobgbnnminstrstoroomarmotpowersortnmbmonuseqycyprpdtfacilcaptsaveequlocscoalarpermcnprdsenmfrequcgparrlservlnennmtregascaplast_load_dttm# duplicates
20사업의 준비기간 내 전기설비의 설치 및 사업을 시작하지 아니한 경우 사업허가는 취소 됩니다<NA>60<NA><NA><NA>2021-01-04 20:18:01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>55
4(사업추진에 따른 민원발생 해결 선행)<NA>60<NA><NA><NA>2021-01-04 20:18:01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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
122. 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>2021-01-04 20:18:01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>24
7- 개별법에 의한 인허가를 받기 바랍니다.<NA>60<NA><NA><NA>2021-01-04 20:18:01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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
21사업추진에 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
18사업 준비기간 내 사업개시 완료<NA>60<NA><NA><NA>2021-01-04 20:18:01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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
6- 개별법에 의한 인허가를 받기 바랍니다.제조구분명60차고지면적철도인입선유무명취급가스용량2021-01-04 20:18:01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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
1됩니다.제조구분명60차고지면적철도인입선유무명취급가스용량2021-01-04 20:18:01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3