Overview

Dataset statistics

Number of variables63
Number of observations1489
Missing cells5950
Missing cells (%)6.3%
Duplicate rows3
Duplicate rows (%)0.2%
Total size in memory733.0 KiB
Average record size in memory504.1 B

Variable types

Text16
Categorical46
DateTime1

Alerts

last_load_dttm has constant value ""Constant
Dataset has 3 (0.2%) duplicate rowsDuplicates
opnsvcid is highly imbalanced (86.5%)Imbalance
updategbn is highly imbalanced (83.2%)Imbalance
opnsvcnm is highly imbalanced (79.0%)Imbalance
sitepostno is highly imbalanced (91.5%)Imbalance
uptaenm is highly imbalanced (52.0%)Imbalance
gaspdtsortnm is highly imbalanced (84.3%)Imbalance
gassortnm is highly imbalanced (84.3%)Imbalance
upchnm is highly imbalanced (84.3%)Imbalance
suprulesctn is highly imbalanced (84.3%)Imbalance
spyvolt is highly imbalanced (84.3%)Imbalance
ltchgcn is highly imbalanced (84.3%)Imbalance
exmran is highly imbalanced (84.3%)Imbalance
prdsiz is highly imbalanced (84.3%)Imbalance
baelt is highly imbalanced (84.3%)Imbalance
baeesbplc is highly imbalanced (84.3%)Imbalance
offtelno is highly imbalanced (71.1%)Imbalance
ofear is highly imbalanced (84.3%)Imbalance
bsnsopeningprearrymd is highly imbalanced (84.3%)Imbalance
wrkpgrdsrvsenm is highly imbalanced (90.7%)Imbalance
wrkptelno is highly imbalanced (84.3%)Imbalance
useobj is highly imbalanced (91.7%)Imbalance
usemet is highly imbalanced (92.1%)Imbalance
dsnrspvsnsortnm is highly imbalanced (92.3%)Imbalance
equnm is highly imbalanced (85.0%)Imbalance
equcap is highly imbalanced (85.0%)Imbalance
stanm is highly imbalanced (89.1%)Imbalance
sygrglstcnt is highly imbalanced (92.7%)Imbalance
faciluseyn is highly imbalanced (85.0%)Imbalance
realcapt is highly imbalanced (91.2%)Imbalance
cobgbnnm is highly imbalanced (91.2%)Imbalance
instrstoroomar is highly imbalanced (85.0%)Imbalance
motpowersortnm is highly imbalanced (85.0%)Imbalance
bmonuseqy is highly imbalanced (92.8%)Imbalance
cyprpdtfacil is highly imbalanced (85.0%)Imbalance
capt is highly imbalanced (85.0%)Imbalance
saveequloc is highly imbalanced (85.0%)Imbalance
scoalar is highly imbalanced (85.0%)Imbalance
permcn is highly imbalanced (85.0%)Imbalance
prdsenm is highly imbalanced (87.6%)Imbalance
frequ is highly imbalanced (85.0%)Imbalance
cgpar is highly imbalanced (85.0%)Imbalance
rlservlnennm is highly imbalanced (85.0%)Imbalance
tregascap is highly imbalanced (85.0%)Imbalance
rdnpostno has 55 (3.7%) missing valuesMissing
rdnwhladdr has 308 (20.7%) missing valuesMissing
dcbymd has 981 (65.9%) missing valuesMissing
clgstdt has 1326 (89.1%) missing valuesMissing
clgenddt has 1326 (89.1%) missing valuesMissing
ropnymd has 1381 (92.7%) missing valuesMissing
x has 243 (16.3%) missing valuesMissing
y has 243 (16.3%) missing valuesMissing
sitetel has 31 (2.1%) missing valuesMissing
last_load_dttm has 15 (1.0%) missing valuesMissing

Reproduction

Analysis started2024-04-16 04:10:53.852283
Analysis finished2024-04-16 04:10:55.494647
Duration1.64 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Text

Distinct1485
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2024-04-16T13:10:55.765429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length3
Mean length3.3297515
Min length1

Characters and Unicode

Total characters4958
Distinct characters45
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

Unique1482 ?
Unique (%)99.5%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
압축산소의 3
 
0.2%
이동식 3
 
0.2%
958 3
 
0.2%
경우 3
 
0.2%
사용처 2
 
0.1%
용호동 2
 
0.1%
사무실주소 2
 
0.1%
분포로 2
 
0.1%
115a동 2
 
0.1%
503호 2
 
0.1%
Other values (1483) 1483
98.4%
2024-04-16T13:10:56.216269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 924
18.6%
2 519
10.5%
3 507
10.2%
7 444
9.0%
9 417
8.4%
0 415
8.4%
4 408
8.2%
5 408
8.2%
8 407
8.2%
6 401
8.1%
Other values (35) 108
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4850
97.8%
Other Letter 73
 
1.5%
Space Separator 18
 
0.4%
Dash Punctuation 9
 
0.2%
Other Punctuation 4
 
0.1%
Uppercase Letter 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 7
 
9.6%
호 5
 
6.8%
소 5
 
6.8%
용 4
 
5.5%
사 4
 
5.5%
식 3
 
4.1%
이 3
 
4.1%
우 3
 
4.1%
경 3
 
4.1%
의 3
 
4.1%
Other values (19) 33
45.2%
Decimal Number
ValueCountFrequency (%)
1 924
19.1%
2 519
10.7%
3 507
10.5%
7 444
9.2%
9 417
8.6%
0 415
8.6%
4 408
8.4%
5 408
8.4%
8 407
8.4%
6 401
8.3%
Space Separator
ValueCountFrequency (%)
18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
: 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4883
98.5%
Hangul 73
 
1.5%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 7
 
9.6%
호 5
 
6.8%
소 5
 
6.8%
용 4
 
5.5%
사 4
 
5.5%
식 3
 
4.1%
이 3
 
4.1%
우 3
 
4.1%
경 3
 
4.1%
의 3
 
4.1%
Other values (19) 33
45.2%
Common
ValueCountFrequency (%)
1 924
18.9%
2 519
10.6%
3 507
10.4%
7 444
9.1%
9 417
8.5%
0 415
8.5%
4 408
8.4%
5 408
8.4%
8 407
8.3%
6 401
8.2%
Other values (5) 33
 
0.7%
Latin
ValueCountFrequency (%)
A 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4885
98.5%
Hangul 73
 
1.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 924
18.9%
2 519
10.6%
3 507
10.4%
7 444
9.1%
9 417
8.5%
0 415
8.5%
4 408
8.4%
5 408
8.4%
8 407
8.3%
6 401
8.2%
Other values (6) 35
 
0.7%
Hangul
ValueCountFrequency (%)
동 7
 
9.6%
호 5
 
6.8%
소 5
 
6.8%
용 4
 
5.5%
사 4
 
5.5%
식 3
 
4.1%
이 3
 
4.1%
우 3
 
4.1%
경 3
 
4.1%
의 3
 
4.1%
Other values (19) 33
45.2%

opnsfteamcode
Categorical

Distinct19
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
3390000
204 
3340000
154 
3290000
117 
3350000
113 
3400000
104 
Other values (14)
797 

Length

Max length8
Median length7
Mean length6.9872398
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3250000
2nd row3250000
3rd row3250000
4th row3250000
5th row3250000

Common Values

ValueCountFrequency (%)
3390000 204
13.7%
3340000 154
10.3%
3290000 117
 
7.9%
3350000 113
 
7.6%
3400000 104
 
7.0%
3360000 102
 
6.9%
3310000 99
 
6.6%
3320000 90
 
6.0%
3300000 87
 
5.8%
3330000 86
 
5.8%
Other values (9) 333
22.4%

Length

2024-04-16T13:10:56.350172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3390000 204
13.7%
3340000 154
10.3%
3290000 117
 
7.9%
3350000 113
 
7.6%
3400000 104
 
7.0%
3360000 102
 
6.9%
3310000 99
 
6.6%
3320000 90
 
6.0%
3300000 87
 
5.8%
3330000 86
 
5.8%
Other values (9) 333
22.4%

mgtno
Text

Distinct1467
Distinct (%)99.0%
Missing7
Missing (%)0.5%
Memory size11.8 KiB
2024-04-16T13:10:56.528765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length18.978408
Min length3

Characters and Unicode

Total characters28126
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

Unique1454 ?
Unique (%)98.1%

Sample

1st row1987325001401500001
2nd row1971325001401200003
3rd row1971325001401200004
4th row1976325001401500001
5th row1976325001401500004
ValueCountFrequency (%)
2019334008012200010 3
 
0.2%
2019339009112200024 3
 
0.2%
201962600008500005 2
 
0.1%
2021336014501500002 2
 
0.1%
2021334013102200001 2
 
0.1%
202162600008600002 2
 
0.1%
2020331011912200001 2
 
0.1%
2021340010901500002 2
 
0.1%
2020340010902100002 2
 
0.1%
설비명 2
 
0.1%
Other values (1457) 1460
98.5%
2024-04-16T13:10:56.853479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11092
39.4%
1 4468
15.9%
3 3279
 
11.7%
2 2483
 
8.8%
9 2257
 
8.0%
5 1707
 
6.1%
4 950
 
3.4%
6 741
 
2.6%
8 585
 
2.1%
7 557
 
2.0%
Other values (4) 7
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28119
> 99.9%
Other Letter 6
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11092
39.4%
1 4468
15.9%
3 3279
 
11.7%
2 2483
 
8.8%
9 2257
 
8.0%
5 1707
 
6.1%
4 950
 
3.4%
6 741
 
2.6%
8 585
 
2.1%
7 557
 
2.0%
Other Letter
ValueCountFrequency (%)
설 2
33.3%
비 2
33.3%
명 2
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28120
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11092
39.4%
1 4468
15.9%
3 3279
 
11.7%
2 2483
 
8.8%
9 2257
 
8.0%
5 1707
 
6.1%
4 950
 
3.4%
6 741
 
2.6%
8 585
 
2.1%
7 557
 
2.0%
Hangul
ValueCountFrequency (%)
설 2
33.3%
비 2
33.3%
명 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28120
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11092
39.4%
1 4468
15.9%
3 3279
 
11.7%
2 2483
 
8.8%
9 2257
 
8.0%
5 1707
 
6.1%
4 950
 
3.4%
6 741
 
2.6%
8 585
 
2.1%
7 557
 
2.0%
Hangul
ValueCountFrequency (%)
설 2
33.3%
비 2
33.3%
명 2
33.3%

opnsvcid
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
09_28_08_P
1409 
09_28_05_P
 
36
09_28_14_P
 
28
<NA>
 
7
09_28_12_P
 
4
Other values (3)
 
5

Length

Max length10
Median length10
Mean length9.963734
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_08_P 1409
94.6%
09_28_05_P 36
 
2.4%
09_28_14_P 28
 
1.9%
<NA> 7
 
0.5%
09_28_12_P 4
 
0.3%
09_28_13_P 2
 
0.1%
설비용량 2
 
0.1%
09_28_09_P 1
 
0.1%

Length

2024-04-16T13:10:57.034341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:10:57.132498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_28_08_p 1409
94.6%
09_28_05_p 36
 
2.4%
09_28_14_p 28
 
1.9%
na 7
 
0.5%
09_28_12_p 4
 
0.3%
09_28_13_p 2
 
0.1%
설비용량 2
 
0.1%
09_28_09_p 1
 
0.1%

updategbn
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
I
1408 
U
 
72
<NA>
 
7
소속국가명
 
2

Length

Max length5
Median length1
Mean length1.0194762
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1408
94.6%
U 72
 
4.8%
<NA> 7
 
0.5%
소속국가명 2
 
0.1%

Length

2024-04-16T13:10:57.241402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:10:57.336199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1408
94.6%
u 72
 
4.8%
na 7
 
0.5%
소속국가명 2
 
0.1%

updatedt
Text

Distinct83
Distinct (%)5.6%
Missing3
Missing (%)0.2%
Memory size11.8 KiB
2024-04-16T13:10:57.564551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length20.923957
Min length1

Characters and Unicode

Total characters31093
Distinct characters14
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)3.2%

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 1338
45.1%
23:59:59.0 1338
45.1%
02:40:00.0 70
 
2.4%
2021-04-14 11
 
0.4%
2021-04-16 9
 
0.3%
2021-04-17 7
 
0.2%
2021-04-11 7
 
0.2%
00:22:58.0 7
 
0.2%
00:22:59.0 5
 
0.2%
2021-04-18 4
 
0.1%
Other values (108) 170
 
5.7%
2024-04-16T13:10:57.958587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4941
15.9%
2 3185
10.2%
- 2960
9.5%
: 2960
9.5%
1 2942
9.5%
3 2774
8.9%
9 2726
8.8%
5 2723
8.8%
8 2703
8.7%
1480
 
4.8%
Other values (4) 1699
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22213
71.4%
Other Punctuation 4440
 
14.3%
Dash Punctuation 2960
 
9.5%
Space Separator 1480
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4941
22.2%
2 3185
14.3%
1 2942
13.2%
3 2774
12.5%
9 2726
12.3%
5 2723
12.3%
8 2703
12.2%
4 168
 
0.8%
6 29
 
0.1%
7 22
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 2960
66.7%
. 1480
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2960
100.0%
Space Separator
ValueCountFrequency (%)
1480
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4941
15.9%
2 3185
10.2%
- 2960
9.5%
: 2960
9.5%
1 2942
9.5%
3 2774
8.9%
9 2726
8.8%
5 2723
8.8%
8 2703
8.7%
1480
 
4.8%
Other values (4) 1699
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4941
15.9%
2 3185
10.2%
- 2960
9.5%
: 2960
9.5%
1 2942
9.5%
3 2774
8.9%
9 2726
8.8%
5 2723
8.8%
8 2703
8.7%
1480
 
4.8%
Other values (4) 1699
 
5.5%

opnsvcnm
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1347 
석유판매업
 
69
고압가스업
 
36
특정고압가스업
 
28
전력기술감리업체
 
4
Other values (3)
 
5

Length

Max length12
Median length4
Mean length4.1443922
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 (%)
<NA> 1347
90.5%
석유판매업 69
 
4.6%
고압가스업 36
 
2.4%
특정고압가스업 28
 
1.9%
전력기술감리업체 4
 
0.3%
전력기술설계업체 2
 
0.1%
시 2
 
0.1%
액화석유가스용품제조업체 1
 
0.1%

Length

2024-04-16T13:10:58.084733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:10:58.183297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1347
90.5%
석유판매업 69
 
4.6%
고압가스업 36
 
2.4%
특정고압가스업 28
 
1.9%
전력기술감리업체 4
 
0.3%
전력기술설계업체 2
 
0.1%
시 2
 
0.1%
액화석유가스용품제조업체 1
 
0.1%

bplcnm
Text

Distinct1186
Distinct (%)80.0%
Missing7
Missing (%)0.5%
Memory size11.8 KiB
2024-04-16T13:10:58.375599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length7.1234818
Min length4

Characters and Unicode

Total characters10557
Distinct characters382
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1021 ?
Unique (%)68.9%

Sample

1st row고려주유소
2nd row영신석유
3rd row남포석유상사
4th row강남주유소
5th row에스씨(주) 제일주유소
ValueCountFrequency (%)
직영 11
 
0.6%
현대석유 10
 
0.6%
대동석유 8
 
0.5%
삼성석유 8
 
0.5%
유성석유 8
 
0.5%
주)os에너지 8
 
0.5%
제일석유 7
 
0.4%
주식회사 7
 
0.4%
지에스칼텍스(주 7
 
0.4%
경동석유 7
 
0.4%
Other values (1254) 1612
95.2%
2024-04-16T13:10:58.709437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 1299
 
12.3%
주 973
 
9.2%
석 645
 
6.1%
소 622
 
5.9%
) 386
 
3.7%
( 386
 
3.7%
지 244
 
2.3%
에 243
 
2.3%
211
 
2.0%
대 198
 
1.9%
Other values (372) 5350
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9286
88.0%
Close Punctuation 388
 
3.7%
Open Punctuation 388
 
3.7%
Space Separator 211
 
2.0%
Uppercase Letter 203
 
1.9%
Lowercase Letter 31
 
0.3%
Decimal Number 29
 
0.3%
Other Symbol 13
 
0.1%
Other Punctuation 7
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 1299
 
14.0%
주 973
 
10.5%
석 645
 
6.9%
소 622
 
6.7%
지 244
 
2.6%
에 243
 
2.6%
대 198
 
2.1%
동 187
 
2.0%
너 183
 
2.0%
성 139
 
1.5%
Other values (331) 4553
49.0%
Uppercase Letter
ValueCountFrequency (%)
S 82
40.4%
K 62
30.5%
C 12
 
5.9%
O 12
 
5.9%
G 9
 
4.4%
I 8
 
3.9%
H 4
 
2.0%
P 3
 
1.5%
E 2
 
1.0%
N 2
 
1.0%
Other values (5) 7
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
s 9
29.0%
k 7
22.6%
e 4
12.9%
l 3
 
9.7%
f 3
 
9.7%
c 2
 
6.5%
h 1
 
3.2%
m 1
 
3.2%
o 1
 
3.2%
Decimal Number
ValueCountFrequency (%)
2 10
34.5%
1 9
31.0%
9 3
 
10.3%
8 2
 
6.9%
0 2
 
6.9%
3 2
 
6.9%
6 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
& 4
57.1%
. 2
28.6%
, 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 386
99.5%
] 2
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 386
99.5%
[ 2
 
0.5%
Space Separator
ValueCountFrequency (%)
211
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9299
88.1%
Common 1024
 
9.7%
Latin 234
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 1299
 
14.0%
주 973
 
10.5%
석 645
 
6.9%
소 622
 
6.7%
지 244
 
2.6%
에 243
 
2.6%
대 198
 
2.1%
동 187
 
2.0%
너 183
 
2.0%
성 139
 
1.5%
Other values (332) 4566
49.1%
Latin
ValueCountFrequency (%)
S 82
35.0%
K 62
26.5%
C 12
 
5.1%
O 12
 
5.1%
s 9
 
3.8%
G 9
 
3.8%
I 8
 
3.4%
k 7
 
3.0%
e 4
 
1.7%
H 4
 
1.7%
Other values (14) 25
 
10.7%
Common
ValueCountFrequency (%)
) 386
37.7%
( 386
37.7%
211
20.6%
2 10
 
1.0%
1 9
 
0.9%
& 4
 
0.4%
9 3
 
0.3%
8 2
 
0.2%
0 2
 
0.2%
] 2
 
0.2%
Other values (6) 9
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9286
88.0%
ASCII 1258
 
11.9%
None 13
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 1299
 
14.0%
주 973
 
10.5%
석 645
 
6.9%
소 622
 
6.7%
지 244
 
2.6%
에 243
 
2.6%
대 198
 
2.1%
동 187
 
2.0%
너 183
 
2.0%
성 139
 
1.5%
Other values (331) 4553
49.0%
ASCII
ValueCountFrequency (%)
) 386
30.7%
( 386
30.7%
211
16.8%
S 82
 
6.5%
K 62
 
4.9%
C 12
 
1.0%
O 12
 
1.0%
2 10
 
0.8%
s 9
 
0.7%
1 9
 
0.7%
Other values (30) 79
 
6.3%
None
ValueCountFrequency (%)
㈜ 13
100.0%

sitepostno
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1451 
지번우편번호
 
30
47291
 
4
46527
 
2
업종구분명
 
2

Length

Max length6
Median length4
Mean length4.0456682
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> 1451
97.4%
지번우편번호 30
 
2.0%
47291 4
 
0.3%
46527 2
 
0.1%
업종구분명 2
 
0.1%

Length

2024-04-16T13:10:58.848110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:10:58.948870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1451
97.4%
지번우편번호 30
 
2.0%
47291 4
 
0.3%
46527 2
 
0.1%
업종구분명 2
 
0.1%

sitewhladdr
Text

Distinct1380
Distinct (%)93.3%
Missing10
Missing (%)0.7%
Memory size11.8 KiB
2024-04-16T13:10:59.211072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length59
Mean length24.030426
Min length7

Characters and Unicode

Total characters35541
Distinct characters232
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

Unique1297 ?
Unique (%)87.7%

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 1473
 
23.2%
사상구 197
 
3.1%
사하구 154
 
2.4%
부산진구 123
 
1.9%
금정구 111
 
1.7%
강서구 102
 
1.6%
기장군 101
 
1.6%
남구 101
 
1.6%
북구 95
 
1.5%
동래구 90
 
1.4%
Other values (1752) 3815
60.0%
2024-04-16T13:10:59.629345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6347
17.9%
산 1715
 
4.8%
부 1682
 
4.7%
동 1612
 
4.5%
1 1559
 
4.4%
광 1510
 
4.2%
시 1482
 
4.2%
역 1475
 
4.2%
구 1463
 
4.1%
- 1456
 
4.1%
Other values (222) 15240
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20019
56.3%
Decimal Number 7440
 
20.9%
Space Separator 6347
 
17.9%
Dash Punctuation 1456
 
4.1%
Other Punctuation 184
 
0.5%
Close Punctuation 38
 
0.1%
Open Punctuation 38
 
0.1%
Uppercase Letter 19
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1715
 
8.6%
부 1682
 
8.4%
동 1612
 
8.1%
광 1510
 
7.5%
시 1482
 
7.4%
역 1475
 
7.4%
구 1463
 
7.3%
지 1451
 
7.2%
번 1368
 
6.8%
사 388
 
1.9%
Other values (194) 5873
29.3%
Uppercase Letter
ValueCountFrequency (%)
A 4
21.1%
N 2
10.5%
M 2
10.5%
E 2
10.5%
S 2
10.5%
O 1
 
5.3%
W 1
 
5.3%
B 1
 
5.3%
L 1
 
5.3%
K 1
 
5.3%
Other values (2) 2
10.5%
Decimal Number
ValueCountFrequency (%)
1 1559
21.0%
2 1028
13.8%
3 809
10.9%
4 762
10.2%
5 691
9.3%
8 542
 
7.3%
0 535
 
7.2%
7 532
 
7.2%
6 507
 
6.8%
9 475
 
6.4%
Other Punctuation
ValueCountFrequency (%)
, 183
99.5%
/ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
6347
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1456
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20019
56.3%
Common 15503
43.6%
Latin 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1715
 
8.6%
부 1682
 
8.4%
동 1612
 
8.1%
광 1510
 
7.5%
시 1482
 
7.4%
역 1475
 
7.4%
구 1463
 
7.3%
지 1451
 
7.2%
번 1368
 
6.8%
사 388
 
1.9%
Other values (194) 5873
29.3%
Common
ValueCountFrequency (%)
6347
40.9%
1 1559
 
10.1%
- 1456
 
9.4%
2 1028
 
6.6%
3 809
 
5.2%
4 762
 
4.9%
5 691
 
4.5%
8 542
 
3.5%
0 535
 
3.5%
7 532
 
3.4%
Other values (6) 1242
 
8.0%
Latin
ValueCountFrequency (%)
A 4
21.1%
N 2
10.5%
M 2
10.5%
E 2
10.5%
S 2
10.5%
O 1
 
5.3%
W 1
 
5.3%
B 1
 
5.3%
L 1
 
5.3%
K 1
 
5.3%
Other values (2) 2
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20019
56.3%
ASCII 15522
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6347
40.9%
1 1559
 
10.0%
- 1456
 
9.4%
2 1028
 
6.6%
3 809
 
5.2%
4 762
 
4.9%
5 691
 
4.5%
8 542
 
3.5%
0 535
 
3.4%
7 532
 
3.4%
Other values (18) 1261
 
8.1%
Hangul
ValueCountFrequency (%)
산 1715
 
8.6%
부 1682
 
8.4%
동 1612
 
8.1%
광 1510
 
7.5%
시 1482
 
7.4%
역 1475
 
7.4%
구 1463
 
7.3%
지 1451
 
7.2%
번 1368
 
6.8%
사 388
 
1.9%
Other values (194) 5873
29.3%

rdnpostno
Text

MISSING 

Distinct64
Distinct (%)4.5%
Missing55
Missing (%)3.7%
Memory size11.8 KiB
2024-04-16T13:10:59.812663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0237099
Min length5

Characters and Unicode

Total characters7204
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

Unique44 ?
Unique (%)3.1%

Sample

1st row48947
2nd row48947
3rd row48947
4th row48947
5th row48947
ValueCountFrequency (%)
48947 1329
92.7%
도로명우편번호 16
 
1.1%
47291 4
 
0.3%
46754 4
 
0.3%
49426 3
 
0.2%
46028 3
 
0.2%
46753 3
 
0.2%
46020 3
 
0.2%
46996 3
 
0.2%
46527 2
 
0.1%
Other values (54) 64
 
4.5%
2024-04-16T13:11:00.100133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 2766
38.4%
9 1373
19.1%
7 1371
19.0%
8 1362
18.9%
6 66
 
0.9%
2 47
 
0.7%
5 32
 
0.4%
1 23
 
0.3%
0 22
 
0.3%
명 18
 
0.2%
Other values (12) 124
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7080
98.3%
Other Letter 124
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
명 18
14.5%
우 16
12.9%
편 16
12.9%
번 16
12.9%
호 16
12.9%
로 16
12.9%
도 16
12.9%
원 2
 
1.6%
동 2
 
1.6%
력 2
 
1.6%
Other values (2) 4
 
3.2%
Decimal Number
ValueCountFrequency (%)
4 2766
39.1%
9 1373
19.4%
7 1371
19.4%
8 1362
19.2%
6 66
 
0.9%
2 47
 
0.7%
5 32
 
0.5%
1 23
 
0.3%
0 22
 
0.3%
3 18
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7080
98.3%
Hangul 124
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
명 18
14.5%
우 16
12.9%
편 16
12.9%
번 16
12.9%
호 16
12.9%
로 16
12.9%
도 16
12.9%
원 2
 
1.6%
동 2
 
1.6%
력 2
 
1.6%
Other values (2) 4
 
3.2%
Common
ValueCountFrequency (%)
4 2766
39.1%
9 1373
19.4%
7 1371
19.4%
8 1362
19.2%
6 66
 
0.9%
2 47
 
0.7%
5 32
 
0.5%
1 23
 
0.3%
0 22
 
0.3%
3 18
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7080
98.3%
Hangul 124
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 2766
39.1%
9 1373
19.4%
7 1371
19.4%
8 1362
19.2%
6 66
 
0.9%
2 47
 
0.7%
5 32
 
0.5%
1 23
 
0.3%
0 22
 
0.3%
3 18
 
0.3%
Hangul
ValueCountFrequency (%)
명 18
14.5%
우 16
12.9%
편 16
12.9%
번 16
12.9%
호 16
12.9%
로 16
12.9%
도 16
12.9%
원 2
 
1.6%
동 2
 
1.6%
력 2
 
1.6%
Other values (2) 4
 
3.2%

rdnwhladdr
Text

MISSING 

Distinct1112
Distinct (%)94.2%
Missing308
Missing (%)20.7%
Memory size11.8 KiB
2024-04-16T13:11:00.385784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length25.258256
Min length2

Characters and Unicode

Total characters29830
Distinct characters279
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

Unique1058 ?
Unique (%)89.6%

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 1169
 
19.6%
사상구 145
 
2.4%
부산진구 109
 
1.8%
사하구 106
 
1.8%
금정구 98
 
1.6%
강서구 92
 
1.5%
기장군 91
 
1.5%
남구 78
 
1.3%
해운대구 76
 
1.3%
동래구 74
 
1.2%
Other values (1350) 3922
65.8%
2024-04-16T13:11:00.802188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5022
 
16.8%
산 1397
 
4.7%
동 1377
 
4.6%
부 1344
 
4.5%
광 1224
 
4.1%
시 1195
 
4.0%
역 1171
 
3.9%
구 1154
 
3.9%
로 1144
 
3.8%
) 1103
 
3.7%
Other values (269) 13699
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18124
60.8%
Space Separator 5022
 
16.8%
Decimal Number 4233
 
14.2%
Close Punctuation 1103
 
3.7%
Open Punctuation 1103
 
3.7%
Dash Punctuation 127
 
0.4%
Other Punctuation 109
 
0.4%
Uppercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1397
 
7.7%
동 1377
 
7.6%
부 1344
 
7.4%
광 1224
 
6.8%
시 1195
 
6.6%
역 1171
 
6.5%
구 1154
 
6.4%
로 1144
 
6.3%
대 557
 
3.1%
길 332
 
1.8%
Other values (247) 7229
39.9%
Decimal Number
ValueCountFrequency (%)
1 881
20.8%
2 596
14.1%
3 486
11.5%
4 363
8.6%
5 355
8.4%
7 341
 
8.1%
0 329
 
7.8%
6 321
 
7.6%
8 291
 
6.9%
9 270
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
A 2
22.2%
N 2
22.2%
M 2
22.2%
S 1
11.1%
O 1
11.1%
E 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 108
99.1%
/ 1
 
0.9%
Space Separator
ValueCountFrequency (%)
5022
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1103
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18124
60.8%
Common 11697
39.2%
Latin 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1397
 
7.7%
동 1377
 
7.6%
부 1344
 
7.4%
광 1224
 
6.8%
시 1195
 
6.6%
역 1171
 
6.5%
구 1154
 
6.4%
로 1144
 
6.3%
대 557
 
3.1%
길 332
 
1.8%
Other values (247) 7229
39.9%
Common
ValueCountFrequency (%)
5022
42.9%
) 1103
 
9.4%
( 1103
 
9.4%
1 881
 
7.5%
2 596
 
5.1%
3 486
 
4.2%
4 363
 
3.1%
5 355
 
3.0%
7 341
 
2.9%
0 329
 
2.8%
Other values (6) 1118
 
9.6%
Latin
ValueCountFrequency (%)
A 2
22.2%
N 2
22.2%
M 2
22.2%
S 1
11.1%
O 1
11.1%
E 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18124
60.8%
ASCII 11706
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5022
42.9%
) 1103
 
9.4%
( 1103
 
9.4%
1 881
 
7.5%
2 596
 
5.1%
3 486
 
4.2%
4 363
 
3.1%
5 355
 
3.0%
7 341
 
2.9%
0 329
 
2.8%
Other values (12) 1127
 
9.6%
Hangul
ValueCountFrequency (%)
산 1397
 
7.7%
동 1377
 
7.6%
부 1344
 
7.4%
광 1224
 
6.8%
시 1195
 
6.6%
역 1171
 
6.5%
구 1154
 
6.4%
로 1144
 
6.3%
대 557
 
3.1%
길 332
 
1.8%
Other values (247) 7229
39.9%

apvpermymd
Text

Distinct1172
Distinct (%)79.1%
Missing7
Missing (%)0.5%
Memory size11.8 KiB
2024-04-16T13:11:01.029074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.9986505
Min length7

Characters and Unicode

Total characters11854
Distinct characters17
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

Unique999 ?
Unique (%)67.4%

Sample

1st row19870812
2nd row19710722
3rd row19710924
4th row19760503
5th row19760513
ValueCountFrequency (%)
19760513 44
 
3.0%
19940708 19
 
1.3%
19931207 18
 
1.2%
19950915 10
 
0.7%
20031106 7
 
0.5%
19931130 7
 
0.5%
20031104 6
 
0.4%
19941130 5
 
0.3%
20210402 4
 
0.3%
19931209 4
 
0.3%
Other values (1162) 1358
91.6%
2024-04-16T13:11:01.389857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2855
24.1%
1 2514
21.2%
9 1993
16.8%
2 1616
13.6%
3 586
 
4.9%
8 531
 
4.5%
4 461
 
3.9%
7 459
 
3.9%
6 435
 
3.7%
5 390
 
3.3%
Other values (7) 14
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11840
99.9%
Other Letter 14
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2855
24.1%
1 2514
21.2%
9 1993
16.8%
2 1616
13.6%
3 586
 
4.9%
8 531
 
4.5%
4 461
 
3.9%
7 459
 
3.9%
6 435
 
3.7%
5 390
 
3.3%
Other Letter
ValueCountFrequency (%)
윤 2
14.3%
전 2
14.3%
기 2
14.3%
생 2
14.3%
산 2
14.3%
시 2
14.3%
설 2
14.3%

Most occurring scripts

ValueCountFrequency (%)
Common 11840
99.9%
Hangul 14
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2855
24.1%
1 2514
21.2%
9 1993
16.8%
2 1616
13.6%
3 586
 
4.9%
8 531
 
4.5%
4 461
 
3.9%
7 459
 
3.9%
6 435
 
3.7%
5 390
 
3.3%
Hangul
ValueCountFrequency (%)
윤 2
14.3%
전 2
14.3%
기 2
14.3%
생 2
14.3%
산 2
14.3%
시 2
14.3%
설 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11840
99.9%
Hangul 14
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2855
24.1%
1 2514
21.2%
9 1993
16.8%
2 1616
13.6%
3 586
 
4.9%
8 531
 
4.5%
4 461
 
3.9%
7 459
 
3.9%
6 435
 
3.7%
5 390
 
3.3%
Hangul
ValueCountFrequency (%)
윤 2
14.3%
전 2
14.3%
기 2
14.3%
생 2
14.3%
산 2
14.3%
시 2
14.3%
설 2
14.3%

dcbymd
Text

MISSING 

Distinct396
Distinct (%)78.0%
Missing981
Missing (%)65.9%
Memory size11.8 KiB
2024-04-16T13:11:01.650844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.7204724
Min length3

Characters and Unicode

Total characters3922
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

Unique349 ?
Unique (%)68.7%

Sample

1st row20080506
2nd row20160616
3rd row20151126
4th row20101230
5th row20081107
ValueCountFrequency (%)
폐업일자 33
 
6.5%
20111114 11
 
2.2%
20111031 10
 
2.0%
20120510 10
 
2.0%
20120511 8
 
1.6%
20051125 3
 
0.6%
20120508 3
 
0.6%
20120308 3
 
0.6%
20080509 2
 
0.4%
20130607 2
 
0.4%
Other values (386) 423
83.3%
2024-04-16T13:11:02.032095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1246
31.8%
2 801
20.4%
1 791
20.2%
3 177
 
4.5%
8 148
 
3.8%
5 139
 
3.5%
4 137
 
3.5%
9 118
 
3.0%
7 117
 
3.0%
6 110
 
2.8%
Other values (6) 138
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3784
96.5%
Other Letter 138
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1246
32.9%
2 801
21.2%
1 791
20.9%
3 177
 
4.7%
8 148
 
3.9%
5 139
 
3.7%
4 137
 
3.6%
9 118
 
3.1%
7 117
 
3.1%
6 110
 
2.9%
Other Letter
ValueCountFrequency (%)
자 35
25.4%
폐 33
23.9%
업 33
23.9%
일 33
23.9%
본 2
 
1.4%
금 2
 
1.4%

Most occurring scripts

ValueCountFrequency (%)
Common 3784
96.5%
Hangul 138
 
3.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1246
32.9%
2 801
21.2%
1 791
20.9%
3 177
 
4.7%
8 148
 
3.9%
5 139
 
3.7%
4 137
 
3.6%
9 118
 
3.1%
7 117
 
3.1%
6 110
 
2.9%
Hangul
ValueCountFrequency (%)
자 35
25.4%
폐 33
23.9%
업 33
23.9%
일 33
23.9%
본 2
 
1.4%
금 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3784
96.5%
Hangul 138
 
3.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1246
32.9%
2 801
21.2%
1 791
20.9%
3 177
 
4.7%
8 148
 
3.9%
5 139
 
3.7%
4 137
 
3.6%
9 118
 
3.1%
7 117
 
3.1%
6 110
 
2.9%
Hangul
ValueCountFrequency (%)
자 35
25.4%
폐 33
23.9%
업 33
23.9%
일 33
23.9%
본 2
 
1.4%
금 2
 
1.4%

clgstdt
Text

MISSING 

Distinct125
Distinct (%)76.7%
Missing1326
Missing (%)89.1%
Memory size11.8 KiB
2024-04-16T13:11:02.288308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.5582822
Min length6

Characters and Unicode

Total characters1232
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

Unique119 ?
Unique (%)73.0%

Sample

1st row20120501
2nd row휴업시작일자
3rd row20121101
4th row20141121
5th row20141120
ValueCountFrequency (%)
휴업시작일자 34
 
20.9%
20100301 2
 
1.2%
20110101 2
 
1.2%
20130301 2
 
1.2%
저장설비위치 2
 
1.2%
20140701 2
 
1.2%
20100513 1
 
0.6%
20140221 1
 
0.6%
20110517 1
 
0.6%
20141230 1
 
0.6%
Other values (115) 115
70.6%
2024-04-16T13:11:02.661467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 329
26.7%
1 258
20.9%
2 213
17.3%
3 45
 
3.7%
7 39
 
3.2%
업 34
 
2.8%
휴 34
 
2.8%
자 34
 
2.8%
일 34
 
2.8%
작 34
 
2.8%
Other values (12) 178
14.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1016
82.5%
Other Letter 216
 
17.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 34
15.7%
휴 34
15.7%
자 34
15.7%
일 34
15.7%
작 34
15.7%
시 34
15.7%
저 2
 
0.9%
장 2
 
0.9%
설 2
 
0.9%
비 2
 
0.9%
Other values (2) 4
 
1.9%
Decimal Number
ValueCountFrequency (%)
0 329
32.4%
1 258
25.4%
2 213
21.0%
3 45
 
4.4%
7 39
 
3.8%
4 33
 
3.2%
5 29
 
2.9%
9 28
 
2.8%
6 24
 
2.4%
8 18
 
1.8%

Most occurring scripts

ValueCountFrequency (%)
Common 1016
82.5%
Hangul 216
 
17.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 34
15.7%
휴 34
15.7%
자 34
15.7%
일 34
15.7%
작 34
15.7%
시 34
15.7%
저 2
 
0.9%
장 2
 
0.9%
설 2
 
0.9%
비 2
 
0.9%
Other values (2) 4
 
1.9%
Common
ValueCountFrequency (%)
0 329
32.4%
1 258
25.4%
2 213
21.0%
3 45
 
4.4%
7 39
 
3.8%
4 33
 
3.2%
5 29
 
2.9%
9 28
 
2.8%
6 24
 
2.4%
8 18
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1016
82.5%
Hangul 216
 
17.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 329
32.4%
1 258
25.4%
2 213
21.0%
3 45
 
4.4%
7 39
 
3.8%
4 33
 
3.2%
5 29
 
2.9%
9 28
 
2.8%
6 24
 
2.4%
8 18
 
1.8%
Hangul
ValueCountFrequency (%)
업 34
15.7%
휴 34
15.7%
자 34
15.7%
일 34
15.7%
작 34
15.7%
시 34
15.7%
저 2
 
0.9%
장 2
 
0.9%
설 2
 
0.9%
비 2
 
0.9%
Other values (2) 4
 
1.9%

clgenddt
Text

MISSING 

Distinct113
Distinct (%)69.3%
Missing1326
Missing (%)89.1%
Memory size11.8 KiB
2024-04-16T13:11:02.935696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.5460123
Min length5

Characters and Unicode

Total characters1230
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

Unique97 ?
Unique (%)59.5%

Sample

1st row20121231
2nd row휴업종료일자
3rd row20121130
4th row20150228
5th row20150920
ValueCountFrequency (%)
휴업종료일자 34
 
20.9%
20120430 3
 
1.8%
20131231 3
 
1.8%
20110831 2
 
1.2%
20150630 2
 
1.2%
20140930 2
 
1.2%
20160630 2
 
1.2%
20151231 2
 
1.2%
20170630 2
 
1.2%
20100831 2
 
1.2%
Other values (103) 109
66.9%
2024-04-16T13:11:03.290642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 306
24.9%
1 245
19.9%
2 202
16.4%
3 98
 
8.0%
5 37
 
3.0%
업 34
 
2.8%
휴 34
 
2.8%
자 34
 
2.8%
일 34
 
2.8%
료 34
 
2.8%
Other values (11) 172
14.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1016
82.6%
Other Letter 214
 
17.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 34
15.9%
휴 34
15.9%
자 34
15.9%
일 34
15.9%
료 34
15.9%
종 34
15.9%
저 2
 
0.9%
탄 2
 
0.9%
장 2
 
0.9%
면 2
 
0.9%
Decimal Number
ValueCountFrequency (%)
0 306
30.1%
1 245
24.1%
2 202
19.9%
3 98
 
9.6%
5 37
 
3.6%
8 32
 
3.1%
4 28
 
2.8%
6 25
 
2.5%
9 23
 
2.3%
7 20
 
2.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1016
82.6%
Hangul 214
 
17.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 34
15.9%
휴 34
15.9%
자 34
15.9%
일 34
15.9%
료 34
15.9%
종 34
15.9%
저 2
 
0.9%
탄 2
 
0.9%
장 2
 
0.9%
면 2
 
0.9%
Common
ValueCountFrequency (%)
0 306
30.1%
1 245
24.1%
2 202
19.9%
3 98
 
9.6%
5 37
 
3.6%
8 32
 
3.1%
4 28
 
2.8%
6 25
 
2.5%
9 23
 
2.3%
7 20
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1016
82.6%
Hangul 214
 
17.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 306
30.1%
1 245
24.1%
2 202
19.9%
3 98
 
9.6%
5 37
 
3.6%
8 32
 
3.1%
4 28
 
2.8%
6 25
 
2.5%
9 23
 
2.3%
7 20
 
2.0%
Hangul
ValueCountFrequency (%)
업 34
15.9%
휴 34
15.9%
자 34
15.9%
일 34
15.9%
료 34
15.9%
종 34
15.9%
저 2
 
0.9%
탄 2
 
0.9%
장 2
 
0.9%
면 2
 
0.9%

ropnymd
Text

MISSING 

Distinct73
Distinct (%)67.6%
Missing1381
Missing (%)92.7%
Memory size11.8 KiB
2024-04-16T13:11:03.505383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.0555556
Min length5

Characters and Unicode

Total characters762
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

Unique70 ?
Unique (%)64.8%

Sample

1st row20130204
2nd row재개업일자
3rd row20121227
4th row20120806
5th row20140925
ValueCountFrequency (%)
재개업일자 34
31.5%
전기사업허가조건 2
 
1.9%
20131101 2
 
1.9%
20140925 1
 
0.9%
20130423 1
 
0.9%
20160630 1
 
0.9%
20170915 1
 
0.9%
20131223 1
 
0.9%
20160621 1
 
0.9%
20100426 1
 
0.9%
Other values (63) 63
58.3%
2024-04-16T13:11:04.011955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 168
22.0%
1 151
19.8%
2 125
16.4%
업 36
 
4.7%
재 34
 
4.5%
개 34
 
4.5%
일 34
 
4.5%
자 34
 
4.5%
3 28
 
3.7%
7 21
 
2.8%
Other values (12) 97
12.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 576
75.6%
Other Letter 186
 
24.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 36
19.4%
재 34
18.3%
개 34
18.3%
일 34
18.3%
자 34
18.3%
기 2
 
1.1%
허 2
 
1.1%
가 2
 
1.1%
조 2
 
1.1%
건 2
 
1.1%
Other values (2) 4
 
2.2%
Decimal Number
ValueCountFrequency (%)
0 168
29.2%
1 151
26.2%
2 125
21.7%
3 28
 
4.9%
7 21
 
3.6%
6 21
 
3.6%
5 20
 
3.5%
9 15
 
2.6%
4 15
 
2.6%
8 12
 
2.1%

Most occurring scripts

ValueCountFrequency (%)
Common 576
75.6%
Hangul 186
 
24.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 36
19.4%
재 34
18.3%
개 34
18.3%
일 34
18.3%
자 34
18.3%
기 2
 
1.1%
허 2
 
1.1%
가 2
 
1.1%
조 2
 
1.1%
건 2
 
1.1%
Other values (2) 4
 
2.2%
Common
ValueCountFrequency (%)
0 168
29.2%
1 151
26.2%
2 125
21.7%
3 28
 
4.9%
7 21
 
3.6%
6 21
 
3.6%
5 20
 
3.5%
9 15
 
2.6%
4 15
 
2.6%
8 12
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 576
75.6%
Hangul 186
 
24.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 168
29.2%
1 151
26.2%
2 125
21.7%
3 28
 
4.9%
7 21
 
3.6%
6 21
 
3.6%
5 20
 
3.5%
9 15
 
2.6%
4 15
 
2.6%
8 12
 
2.1%
Hangul
ValueCountFrequency (%)
업 36
19.4%
재 34
18.3%
개 34
18.3%
일 34
18.3%
자 34
18.3%
기 2
 
1.1%
허 2
 
1.1%
가 2
 
1.1%
조 2
 
1.1%
건 2
 
1.1%
Other values (2) 4
 
2.2%

trdstatenm
Categorical

Distinct11
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
03
728 
01
359 
07
183 
영업/정상
127 
06
 
43
Other values (6)
 
49

Length

Max length5
Median length2
Mean length2.2693083
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
03 728
48.9%
01 359
24.1%
07 183
 
12.3%
영업/정상 127
 
8.5%
06 43
 
2.9%
02 17
 
1.1%
05 10
 
0.7%
휴업 8
 
0.5%
<NA> 7
 
0.5%
폐업 5
 
0.3%

Length

2024-04-16T13:11:04.133517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
03 728
48.9%
01 359
24.1%
07 183
 
12.3%
영업/정상 127
 
8.5%
06 43
 
2.9%
02 17
 
1.1%
05 10
 
0.7%
휴업 8
 
0.5%
na 7
 
0.5%
폐업 5
 
0.3%

dtlstatenm
Categorical

Distinct13
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
폐지
732 
신규등록
395 
영업개시
201 
휴지사업재개
 
51
영업중
 
36
Other values (8)
74 

Length

Max length7
Median length6
Mean length3.0638012
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐지 732
49.2%
신규등록 395
26.5%
영업개시 201
 
13.5%
휴지사업재개 51
 
3.4%
영업중 36
 
2.4%
<NA> 20
 
1.3%
등록취소 17
 
1.1%
사업휴지 13
 
0.9%
휴업처리 11
 
0.7%
인허가 6
 
0.4%
Other values (3) 7
 
0.5%

Length

2024-04-16T13:11:04.250770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
폐지 732
49.2%
신규등록 395
26.5%
영업개시 201
 
13.5%
휴지사업재개 51
 
3.4%
영업중 36
 
2.4%
na 20
 
1.3%
등록취소 17
 
1.1%
사업휴지 13
 
0.9%
휴업처리 11
 
0.7%
인허가 6
 
0.4%
Other values (3) 7
 
0.5%

x
Text

MISSING 

Distinct1144
Distinct (%)91.8%
Missing243
Missing (%)16.3%
Memory size11.8 KiB
2024-04-16T13:11:04.414038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.96549
Min length5

Characters and Unicode

Total characters24877
Distinct characters24
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1067 ?
Unique (%)85.6%

Sample

1st row385717.11248000000
2nd row385732.61555200000
3rd row385535.93263200000
4th row384385.56369900000
5th row384822.48508100000
ValueCountFrequency (%)
380555.507067 7
 
0.6%
401260.939933773 4
 
0.3%
380466.31102600000 4
 
0.3%
380049.56403400000 4
 
0.3%
387625.86797096 4
 
0.3%
401610.25118200000 4
 
0.3%
387026.84646200000 3
 
0.2%
377192.966387666 3
 
0.2%
382802.29451564 3
 
0.2%
378941.360932275 3
 
0.2%
Other values (1134) 1207
96.9%
2024-04-16T13:11:04.697900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6481
26.1%
3218
12.9%
3 2481
 
10.0%
8 1903
 
7.6%
9 1624
 
6.5%
7 1366
 
5.5%
2 1332
 
5.4%
1 1325
 
5.3%
6 1307
 
5.3%
5 1296
 
5.2%
Other values (14) 2544
 
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20403
82.0%
Space Separator 3218
 
12.9%
Other Punctuation 1239
 
5.0%
Other Letter 14
 
0.1%
Open Punctuation 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6481
31.8%
3 2481
 
12.2%
8 1903
 
9.3%
9 1624
 
8.0%
7 1366
 
6.7%
2 1332
 
6.5%
1 1325
 
6.5%
6 1307
 
6.4%
5 1296
 
6.4%
4 1288
 
6.3%
Other Letter
ValueCountFrequency (%)
면 2
14.3%
적 2
14.3%
차 2
14.3%
지 2
14.3%
고 2
14.3%
좌 1
7.1%
표 1
7.1%
정 1
7.1%
보 1
7.1%
Space Separator
ValueCountFrequency (%)
3218
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1239
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24862
99.9%
Hangul 14
 
0.1%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6481
26.1%
3218
12.9%
3 2481
 
10.0%
8 1903
 
7.7%
9 1624
 
6.5%
7 1366
 
5.5%
2 1332
 
5.4%
1 1325
 
5.3%
6 1307
 
5.3%
5 1296
 
5.2%
Other values (4) 2529
 
10.2%
Hangul
ValueCountFrequency (%)
면 2
14.3%
적 2
14.3%
차 2
14.3%
지 2
14.3%
고 2
14.3%
좌 1
7.1%
표 1
7.1%
정 1
7.1%
보 1
7.1%
Latin
ValueCountFrequency (%)
X 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24863
99.9%
Hangul 14
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6481
26.1%
3218
12.9%
3 2481
 
10.0%
8 1903
 
7.7%
9 1624
 
6.5%
7 1366
 
5.5%
2 1332
 
5.4%
1 1325
 
5.3%
6 1307
 
5.3%
5 1296
 
5.2%
Other values (5) 2530
 
10.2%
Hangul
ValueCountFrequency (%)
면 2
14.3%
적 2
14.3%
차 2
14.3%
지 2
14.3%
고 2
14.3%
좌 1
7.1%
표 1
7.1%
정 1
7.1%
보 1
7.1%

y
Text

MISSING 

Distinct1143
Distinct (%)91.7%
Missing243
Missing (%)16.3%
Memory size11.8 KiB
2024-04-16T13:11:04.887804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.970305
Min length7

Characters and Unicode

Total characters24883
Distinct characters27
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1065 ?
Unique (%)85.5%

Sample

1st row180436.91578300000
2nd row180996.84119400000
3rd row181386.83062300000
4th row180259.73166600000
5th row180570.89765900000
ValueCountFrequency (%)
185892.189846 7
 
0.6%
192699.52452200000 4
 
0.3%
186728.83388400000 4
 
0.3%
190226.561613539 4
 
0.3%
197494.09608000000 4
 
0.3%
186117.09883859 4
 
0.3%
184448.50318500000 3
 
0.2%
178979.319940248 3
 
0.2%
184926.53941800000 3
 
0.2%
185931.10401700000 3
 
0.2%
Other values (1133) 1207
96.9%
2024-04-16T13:11:05.182000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6373
25.6%
3228
13.0%
1 2449
 
9.8%
8 2024
 
8.1%
9 1676
 
6.7%
7 1406
 
5.7%
2 1345
 
5.4%
5 1339
 
5.4%
6 1265
 
5.1%
4 1260
 
5.1%
Other values (17) 2518
 
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20393
82.0%
Space Separator 3228
 
13.0%
Other Punctuation 1239
 
5.0%
Other Letter 20
 
0.1%
Open Punctuation 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
선 2
10.0%
명 2
10.0%
무 2
10.0%
유 2
10.0%
도 2
10.0%
입 2
10.0%
인 2
10.0%
철 2
10.0%
좌 1
5.0%
표 1
5.0%
Other values (2) 2
10.0%
Decimal Number
ValueCountFrequency (%)
0 6373
31.3%
1 2449
 
12.0%
8 2024
 
9.9%
9 1676
 
8.2%
7 1406
 
6.9%
2 1345
 
6.6%
5 1339
 
6.6%
6 1265
 
6.2%
4 1260
 
6.2%
3 1256
 
6.2%
Space Separator
ValueCountFrequency (%)
3228
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1239
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
Y 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24862
99.9%
Hangul 20
 
0.1%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6373
25.6%
3228
13.0%
1 2449
 
9.9%
8 2024
 
8.1%
9 1676
 
6.7%
7 1406
 
5.7%
2 1345
 
5.4%
5 1339
 
5.4%
6 1265
 
5.1%
4 1260
 
5.1%
Other values (4) 2497
 
10.0%
Hangul
ValueCountFrequency (%)
선 2
10.0%
명 2
10.0%
무 2
10.0%
유 2
10.0%
도 2
10.0%
입 2
10.0%
인 2
10.0%
철 2
10.0%
좌 1
5.0%
표 1
5.0%
Other values (2) 2
10.0%
Latin
ValueCountFrequency (%)
Y 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24863
99.9%
Hangul 20
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6373
25.6%
3228
13.0%
1 2449
 
9.8%
8 2024
 
8.1%
9 1676
 
6.7%
7 1406
 
5.7%
2 1345
 
5.4%
5 1339
 
5.4%
6 1265
 
5.1%
4 1260
 
5.1%
Other values (5) 2498
 
10.0%
Hangul
ValueCountFrequency (%)
선 2
10.0%
명 2
10.0%
무 2
10.0%
유 2
10.0%
도 2
10.0%
입 2
10.0%
인 2
10.0%
철 2
10.0%
좌 1
5.0%
표 1
5.0%
Other values (2) 2
10.0%

lastmodts
Text

Distinct1431
Distinct (%)96.6%
Missing7
Missing (%)0.5%
Memory size11.8 KiB
2024-04-16T13:11:05.383287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.989204
Min length6

Characters and Unicode

Total characters20732
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

Unique1397 ?
Unique (%)94.3%

Sample

1st row20171121112913
2nd row20091126141034
3rd row20080506160124
4th row20160616152334
5th row20171121112951
ValueCountFrequency (%)
20031106000000 6
 
0.4%
20060123000000 5
 
0.3%
20000810000000 5
 
0.3%
20191004134109 3
 
0.2%
20060313000000 3
 
0.2%
20061116000000 3
 
0.2%
20040623000000 3
 
0.2%
20070404000000 3
 
0.2%
20190927153558 3
 
0.2%
20000811000000 3
 
0.2%
Other values (1421) 1445
97.5%
2024-04-16T13:11:05.692032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5557
26.8%
1 4573
22.1%
2 3649
17.6%
5 1233
 
5.9%
4 1193
 
5.8%
3 1189
 
5.7%
7 938
 
4.5%
8 910
 
4.4%
6 794
 
3.8%
9 684
 
3.3%
Other values (6) 12
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20720
99.9%
Other Letter 12
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5557
26.8%
1 4573
22.1%
2 3649
17.6%
5 1233
 
6.0%
4 1193
 
5.8%
3 1189
 
5.7%
7 938
 
4.5%
8 910
 
4.4%
6 794
 
3.8%
9 684
 
3.3%
Other Letter
ValueCountFrequency (%)
취 2
16.7%
급 2
16.7%
가 2
16.7%
스 2
16.7%
용 2
16.7%
량 2
16.7%

Most occurring scripts

ValueCountFrequency (%)
Common 20720
99.9%
Hangul 12
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5557
26.8%
1 4573
22.1%
2 3649
17.6%
5 1233
 
6.0%
4 1193
 
5.8%
3 1189
 
5.7%
7 938
 
4.5%
8 910
 
4.4%
6 794
 
3.8%
9 684
 
3.3%
Hangul
ValueCountFrequency (%)
취 2
16.7%
급 2
16.7%
가 2
16.7%
스 2
16.7%
용 2
16.7%
량 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20720
99.9%
Hangul 12
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5557
26.8%
1 4573
22.1%
2 3649
17.6%
5 1233
 
6.0%
4 1193
 
5.8%
3 1189
 
5.7%
7 938
 
4.5%
8 910
 
4.4%
6 794
 
3.8%
9 684
 
3.3%
Hangul
ValueCountFrequency (%)
취 2
16.7%
급 2
16.7%
가 2
16.7%
스 2
16.7%
용 2
16.7%
량 2
16.7%

uptaenm
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
일반판매소
725 
주유소
612 
용제판매소
 
69
제조
 
29
<NA>
 
27
Other values (5)
 
27

Length

Max length19
Median length5
Mean length4.1517797
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반판매소 725
48.7%
주유소 612
41.1%
용제판매소 69
 
4.6%
제조 29
 
1.9%
<NA> 27
 
1.8%
업태구분명 11
 
0.7%
저장소 7
 
0.5%
2021-05-01 05:14:03 6
 
0.4%
항공유판매소 2
 
0.1%
부생연료유판매소 1
 
0.1%

Length

2024-04-16T13:11:05.818757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:05.924313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반판매소 725
48.5%
주유소 612
40.9%
용제판매소 69
 
4.6%
제조 29
 
1.9%
na 27
 
1.8%
업태구분명 11
 
0.7%
저장소 7
 
0.5%
2021-05-01 6
 
0.4%
05:14:03 6
 
0.4%
항공유판매소 2
 
0.1%

sitetel
Text

MISSING 

Distinct63
Distinct (%)4.3%
Missing31
Missing (%)2.1%
Memory size11.8 KiB
2024-04-16T13:11:06.069199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.8738
Min length4

Characters and Unicode

Total characters17312
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

Unique59 ?
Unique (%)4.0%

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 1374
89.2%
051 56
 
3.6%
전화번호 19
 
1.2%
0517154087 4
 
0.3%
0513622119 2
 
0.1%
243 2
 
0.1%
5151 2
 
0.1%
3301 1
 
0.1%
02 1
 
0.1%
9712035 1
 
0.1%
Other values (79) 79
 
5.1%
2024-04-16T13:11:06.298026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4261
24.6%
2 2804
16.2%
3 2799
16.2%
- 2750
15.9%
5 1495
 
8.6%
0 1479
 
8.5%
4 1421
 
8.2%
94
 
0.5%
7 42
 
0.2%
6 37
 
0.2%
Other values (6) 130
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14392
83.1%
Dash Punctuation 2750
 
15.9%
Space Separator 94
 
0.5%
Other Letter 76
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4261
29.6%
2 2804
19.5%
3 2799
19.4%
5 1495
 
10.4%
0 1479
 
10.3%
4 1421
 
9.9%
7 42
 
0.3%
6 37
 
0.3%
8 35
 
0.2%
9 19
 
0.1%
Other Letter
ValueCountFrequency (%)
전 19
25.0%
화 19
25.0%
번 19
25.0%
호 19
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 2750
100.0%
Space Separator
ValueCountFrequency (%)
94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17236
99.6%
Hangul 76
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4261
24.7%
2 2804
16.3%
3 2799
16.2%
- 2750
16.0%
5 1495
 
8.7%
0 1479
 
8.6%
4 1421
 
8.2%
94
 
0.5%
7 42
 
0.2%
6 37
 
0.2%
Other values (2) 54
 
0.3%
Hangul
ValueCountFrequency (%)
전 19
25.0%
화 19
25.0%
번 19
25.0%
호 19
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17236
99.6%
Hangul 76
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4261
24.7%
2 2804
16.3%
3 2799
16.2%
- 2750
16.0%
5 1495
 
8.7%
0 1479
 
8.6%
4 1421
 
8.2%
94
 
0.5%
7 42
 
0.2%
6 37
 
0.2%
Other values (2) 54
 
0.3%
Hangul
ValueCountFrequency (%)
전 19
25.0%
화 19
25.0%
번 19
25.0%
호 19
25.0%

gaspdtsortnm
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1455 
가스용품종류명
 
34

Length

Max length7
Median length4
Mean length4.0685024
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> 1455
97.7%
가스용품종류명 34
 
2.3%

Length

2024-04-16T13:11:06.401991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:06.484564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1455
97.7%
가스용품종류명 34
 
2.3%

gassortnm
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1455 
가스종류명
 
34

Length

Max length5
Median length4
Mean length4.0228341
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> 1455
97.7%
가스종류명 34
 
2.3%

Length

2024-04-16T13:11:06.578899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:06.660459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1455
97.7%
가스종류명 34
 
2.3%

upchnm
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1455 
거래처
 
34

Length

Max length4
Median length4
Mean length3.9771659
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> 1455
97.7%
거래처 34
 
2.3%

Length

2024-04-16T13:11:06.751218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:06.834970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1455
97.7%
거래처 34
 
2.3%

suprulesctn
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1455 
공급규정내용
 
34

Length

Max length6
Median length4
Mean length4.0456682
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> 1455
97.7%
공급규정내용 34
 
2.3%

Length

2024-04-16T13:11:06.925703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:07.014473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1455
97.7%
공급규정내용 34
 
2.3%

spyvolt
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1455 
공급전압
 
34

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> 1455
97.7%
공급전압 34
 
2.3%

Length

2024-04-16T13:11:07.101384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:07.192076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1455
97.7%
공급전압 34
 
2.3%

ltchgcn
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1455 
길이변경내용
 
34

Length

Max length6
Median length4
Mean length4.0456682
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> 1455
97.7%
길이변경내용 34
 
2.3%

Length

2024-04-16T13:11:07.284250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:07.373026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1455
97.7%
길이변경내용 34
 
2.3%

exmran
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1455 
면제범위
 
34

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> 1455
97.7%
면제범위 34
 
2.3%

Length

2024-04-16T13:11:07.457281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:07.536323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1455
97.7%
면제범위 34
 
2.3%

prdsiz
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1455 
물품규격
 
34

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> 1455
97.7%
물품규격 34
 
2.3%

Length

2024-04-16T13:11:07.622058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:07.701052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1455
97.7%
물품규격 34
 
2.3%

baelt
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1455 
배관길이
 
34

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> 1455
97.7%
배관길이 34
 
2.3%

Length

2024-04-16T13:11:07.794195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:07.889640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1455
97.7%
배관길이 34
 
2.3%

baeesbplc
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1455 
배관설치장소
 
34

Length

Max length6
Median length4
Mean length4.0456682
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> 1455
97.7%
배관설치장소 34
 
2.3%

Length

2024-04-16T13:11:07.989445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:08.082715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1455
97.7%
배관설치장소 34
 
2.3%

offtelno
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
051-123-1234
1374 
<NA>
 
83
사무소전화번호
 
32

Length

Max length12
Median length12
Mean length11.446608
Min length4

Unique

Unique0 ?
Unique (%)0.0%

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 1374
92.3%
<NA> 83
 
5.6%
사무소전화번호 32
 
2.1%

Length

2024-04-16T13:11:08.174721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:08.264840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
051-123-1234 1374
92.3%
na 83
 
5.6%
사무소전화번호 32
 
2.1%

ofear
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1455 
사무실면적
 
34

Length

Max length5
Median length4
Mean length4.0228341
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> 1455
97.7%
사무실면적 34
 
2.3%

Length

2024-04-16T13:11:08.352034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:08.434053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1455
97.7%
사무실면적 34
 
2.3%

bsnsopeningprearrymd
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1455 
사업개시예정일자
 
34

Length

Max length8
Median length4
Mean length4.0913365
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> 1455
97.7%
사업개시예정일자 34
 
2.3%

Length

2024-04-16T13:11:08.545779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:08.656646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1455
97.7%
사업개시예정일자 34
 
2.3%

wrkpgrdsrvsenm
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1451 
사업장부지용도구분명
 
34
기타
 
3
주.상복합용
 
1

Length

Max length10
Median length4
Mean length4.1343183
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 (%)
<NA> 1451
97.4%
사업장부지용도구분명 34
 
2.3%
기타 3
 
0.2%
주.상복합용 1
 
0.1%

Length

2024-04-16T13:11:08.754138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:08.848615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1451
97.4%
사업장부지용도구분명 34
 
2.3%
기타 3
 
0.2%
주.상복합용 1
 
0.1%

wrkptelno
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1455 
사업장전화번호
 
34

Length

Max length7
Median length4
Mean length4.0685024
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> 1455
97.7%
사업장전화번호 34
 
2.3%

Length

2024-04-16T13:11:08.943591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:09.027583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1455
97.7%
사업장전화번호 34
 
2.3%

useobj
Categorical

IMBALANCE 

Distinct15
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1433 
사용목적
 
28
의료용
 
13
절단용
 
2
Ru chemical 제조
 
2
Other values (10)
 
11

Length

Max length15
Median length4
Mean length4.0335796
Min length3

Unique

Unique9 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1433
96.2%
사용목적 28
 
1.9%
의료용 13
 
0.9%
절단용 2
 
0.1%
Ru chemical 제조 2
 
0.1%
강재절단, 압접용 2
 
0.1%
의료용(호흡용) 1
 
0.1%
의료용 산소 1
 
0.1%
의료용 산소공급용 1
 
0.1%
절단작업용 1
 
0.1%
Other values (5) 5
 
0.3%

Length

2024-04-16T13:11:09.132392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1433
95.2%
사용목적 28
 
1.9%
의료용 15
 
1.0%
제조 2
 
0.1%
용접 2
 
0.1%
강재절단 2
 
0.1%
압접용 2
 
0.1%
chemical 2
 
0.1%
ru 2
 
0.1%
절단용 2
 
0.1%
Other values (15) 15
 
1.0%

usemet
Categorical

IMBALANCE 

Distinct20
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1433 
사용방법
 
28
의료용
 
4
산소
 
3
액화산소의 경우 배관 연결하여 사용
 
3
Other values (15)
 
18

Length

Max length22
Median length4
Mean length4.0906649
Min length2

Unique

Unique12 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1433
96.2%
사용방법 28
 
1.9%
의료용 4
 
0.3%
산소 3
 
0.2%
액화산소의 경우 배관 연결하여 사용 3
 
0.2%
강재절단, 압접용 2
 
0.1%
Ru chemical 제조 2
 
0.1%
의료용산소 2
 
0.1%
절단용 1
 
0.1%
용기보관실 1
 
0.1%
Other values (10) 10
 
0.7%

Length

2024-04-16T13:11:09.270248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1433
93.8%
사용방법 28
 
1.8%
의료용 5
 
0.3%
산소 4
 
0.3%
사용 4
 
0.3%
액화산소의 3
 
0.2%
경우 3
 
0.2%
배관 3
 
0.2%
연결하여 3
 
0.2%
제조 2
 
0.1%
Other values (31) 39
 
2.6%

dsnrspvsnsortnm
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1455 
설계감리업종류명
 
28
전문설계업2종
 
2
종합감리업
 
2
전문감리업
 
2

Length

Max length8
Median length4
Mean length4.0819342
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> 1455
97.7%
설계감리업종류명 28
 
1.9%
전문설계업2종 2
 
0.1%
종합감리업 2
 
0.1%
전문감리업 2
 
0.1%

Length

2024-04-16T13:11:09.414737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:09.525805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1455
97.7%
설계감리업종류명 28
 
1.9%
전문설계업2종 2
 
0.1%
종합감리업 2
 
0.1%
전문감리업 2
 
0.1%

equnm
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1457 
설비명
 
32

Length

Max length4
Median length4
Mean length3.9785091
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> 1457
97.9%
설비명 32
 
2.1%

Length

2024-04-16T13:11:09.619049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:09.702238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1457
97.9%
설비명 32
 
2.1%

equcap
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1457 
설비용량
 
32

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> 1457
97.9%
설비용량 32
 
2.1%

Length

2024-04-16T13:11:09.816290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:09.895861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1457
97.9%
설비용량 32
 
2.1%

stanm
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1455 
소속국가명
 
28
대한민국
 
6

Length

Max length5
Median length4
Mean length4.0188046
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> 1455
97.7%
소속국가명 28
 
1.9%
대한민국 6
 
0.4%

Length

2024-04-16T13:11:09.984380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:10.071970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1455
97.7%
소속국가명 28
 
1.9%
대한민국 6
 
0.4%

sygrglstcnt
Categorical

IMBALANCE 

Distinct17
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1439 
수용정원수
 
28
0
 
5
230
 
2
135
 
2
Other values (12)
 
13

Length

Max length5
Median length4
Mean length3.9899261
Min length1

Unique

Unique11 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1439
96.6%
수용정원수 28
 
1.9%
0 5
 
0.3%
230 2
 
0.1%
135 2
 
0.1%
100 2
 
0.1%
4 1
 
0.1%
400 1
 
0.1%
650 1
 
0.1%
172 1
 
0.1%
Other values (7) 7
 
0.5%

Length

2024-04-16T13:11:10.169425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1439
96.6%
수용정원수 28
 
1.9%
0 5
 
0.3%
230 2
 
0.1%
135 2
 
0.1%
100 2
 
0.1%
20 1
 
0.1%
30 1
 
0.1%
5 1
 
0.1%
247 1
 
0.1%
Other values (7) 7
 
0.5%

faciluseyn
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1457 
시
 
32

Length

Max length4
Median length4
Mean length3.9355272
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> 1457
97.9%
시 32
 
2.1%

Length

2024-04-16T13:11:10.281562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:10.365736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1457
97.9%
시 32
 
2.1%

realcapt
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1455 
실질자본금
 
28
150000000
 
4
50000000
 
2

Length

Max length9
Median length4
Mean length4.0376091
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> 1455
97.7%
실질자본금 28
 
1.9%
150000000 4
 
0.3%
50000000 2
 
0.1%

Length

2024-04-16T13:11:10.764303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:10.909570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1455
97.7%
실질자본금 28
 
1.9%
150000000 4
 
0.3%
50000000 2
 
0.1%

cobgbnnm
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1455 
업종구분명
 
28
감리업
 
4
설계업
 
2

Length

Max length5
Median length4
Mean length4.014775
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> 1455
97.7%
업종구분명 28
 
1.9%
감리업 4
 
0.3%
설계업 2
 
0.1%

Length

2024-04-16T13:11:11.010255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:11.102823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1455
97.7%
업종구분명 28
 
1.9%
감리업 4
 
0.3%
설계업 2
 
0.1%

instrstoroomar
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1457 
용기저장실면적
 
32

Length

Max length7
Median length4
Mean length4.0644728
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> 1457
97.9%
용기저장실면적 32
 
2.1%

Length

2024-04-16T13:11:11.222115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:11.325722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1457
97.9%
용기저장실면적 32
 
2.1%

motpowersortnm
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1457 
원동력종류명
 
32

Length

Max length6
Median length4
Mean length4.0429819
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> 1457
97.9%
원동력종류명 32
 
2.1%

Length

2024-04-16T13:11:11.419277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:11.510572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1457
97.9%
원동력종류명 32
 
2.1%

bmonuseqy
Categorical

IMBALANCE 

Distinct18
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1439 
월사용량
 
28
1000
 
3
650
 
3
3000
 
2
Other values (13)
 
14

Length

Max length4
Median length4
Mean length3.9899261
Min length2

Unique

Unique12 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1439
96.6%
월사용량 28
 
1.9%
1000 3
 
0.2%
650 3
 
0.2%
3000 2
 
0.1%
336 2
 
0.1%
50 1
 
0.1%
760 1
 
0.1%
2000 1
 
0.1%
1600 1
 
0.1%
Other values (8) 8
 
0.5%

Length

2024-04-16T13:11:11.601686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1439
96.6%
월사용량 28
 
1.9%
1000 3
 
0.2%
650 3
 
0.2%
3000 2
 
0.1%
336 2
 
0.1%
1360 1
 
0.1%
2800 1
 
0.1%
140 1
 
0.1%
560 1
 
0.1%
Other values (8) 8
 
0.5%

cyprpdtfacil
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1457 
윤전기생산시설
 
32

Length

Max length7
Median length4
Mean length4.0644728
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> 1457
97.9%
윤전기생산시설 32
 
2.1%

Length

2024-04-16T13:11:11.708762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:11.793088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1457
97.9%
윤전기생산시설 32
 
2.1%

capt
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1457 
자본금
 
32

Length

Max length4
Median length4
Mean length3.9785091
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> 1457
97.9%
자본금 32
 
2.1%

Length

2024-04-16T13:11:11.881062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:11.984818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1457
97.9%
자본금 32
 
2.1%

saveequloc
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1457 
저장설비위치
 
32

Length

Max length6
Median length4
Mean length4.0429819
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> 1457
97.9%
저장설비위치 32
 
2.1%

Length

2024-04-16T13:11:12.112398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:12.213262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1457
97.9%
저장설비위치 32
 
2.1%

scoalar
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1457 
저탄장면적
 
32

Length

Max length5
Median length4
Mean length4.0214909
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> 1457
97.9%
저탄장면적 32
 
2.1%

Length

2024-04-16T13:11:12.303984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:12.385776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1457
97.9%
저탄장면적 32
 
2.1%

permcn
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1457 
전기사업허가조건
 
32

Length

Max length8
Median length4
Mean length4.0859637
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> 1457
97.9%
전기사업허가조건 32
 
2.1%

Length

2024-04-16T13:11:12.478329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:12.566607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1457
97.9%
전기사업허가조건 32
 
2.1%

prdsenm
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1435 
제조구분명
 
24
냉동
 
17
충전
 
10
일반
 
3

Length

Max length5
Median length4
Mean length3.9758227
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> 1435
96.4%
제조구분명 24
 
1.6%
냉동 17
 
1.1%
충전 10
 
0.7%
일반 3
 
0.2%

Length

2024-04-16T13:11:12.674891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:12.799788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1435
96.4%
제조구분명 24
 
1.6%
냉동 17
 
1.1%
충전 10
 
0.7%
일반 3
 
0.2%

frequ
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1457 
주파수
 
32

Length

Max length4
Median length4
Mean length3.9785091
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> 1457
97.9%
주파수 32
 
2.1%

Length

2024-04-16T13:11:12.926191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:13.064460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1457
97.9%
주파수 32
 
2.1%

cgpar
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1457 
차고지면적
 
32

Length

Max length5
Median length4
Mean length4.0214909
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> 1457
97.9%
차고지면적 32
 
2.1%

Length

2024-04-16T13:11:13.156064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:13.239718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1457
97.9%
차고지면적 32
 
2.1%

rlservlnennm
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1457 
철도인입선유무명
 
32

Length

Max length8
Median length4
Mean length4.0859637
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> 1457
97.9%
철도인입선유무명 32
 
2.1%

Length

2024-04-16T13:11:13.331911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:13.424249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1457
97.9%
철도인입선유무명 32
 
2.1%

tregascap
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1457 
취급가스용량
 
32

Length

Max length6
Median length4
Mean length4.0429819
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> 1457
97.9%
취급가스용량 32
 
2.1%

Length

2024-04-16T13:11:13.518972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:11:13.606427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1457
97.9%
취급가스용량 32
 
2.1%

last_load_dttm
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing15
Missing (%)1.0%
Memory size11.8 KiB
Minimum2021-05-01 05:14:03
Maximum2021-05-01 05:14:03
2024-04-16T13:11:13.673984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T13:11:13.752542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

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>2021-05-01 05:14:03
123250000197132500140120000309_28_08_PI2018-08-31 23:59:59.0<NA>영신석유<NA>부산광역시 중구 영주동 73-11번지48947<NA>19710722<NA><NA><NA><NA>03폐지<NA><NA>20091126141034일반판매소051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-05-01 05:14:03
233250000197132500140120000409_28_08_PI2018-08-31 23:59:59.0<NA>남포석유상사<NA>부산광역시 중구 대청동4가 31-17번지48947<NA>1971092420080506<NA><NA><NA>03폐지<NA><NA>20080506160124일반판매소051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-05-01 05:14:03
343250000197632500140150000109_28_08_PI2018-08-31 23:59:59.0<NA>강남주유소<NA>부산광역시 중구 중앙동4가 82-8번지48947부산광역시 중구 중앙대로 120 (중앙동4가)1976050320160616<NA><NA><NA>03폐지385732.61555200000180996.8411940000020160616152334주유소051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-05-01 05:14:03
453250000197632500140150000409_28_08_PI2018-08-31 23:59:59.0<NA>에스씨(주) 제일주유소<NA>부산광역시 중구 영주동 556-3외10필지번지48947부산광역시 중구 중구로 194 (영주동)19760513<NA><NA><NA><NA>01신규등록385535.93263200000181386.8306230000020171121112951주유소051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-05-01 05:14:03
563250000198532500140150000109_28_08_PI2018-08-31 23:59:59.0<NA>남포주유소<NA>부산광역시 중구 부평동4가 32-2, 33, 34-6번지48947부산광역시 중구 보수대로 62 (부평동4가)198511112015112620120501201212312013020403폐지384385.56369900000180259.7316660000020151126164419주유소051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-05-01 05:14:03
673250000199632500140120000909_28_08_PI2018-08-31 23:59:59.0<NA>유성석유<NA>부산광역시 중구 보수동1가 60-108번지48947부산광역시 중구 보동길 10 (보수동1가)19990826<NA><NA><NA><NA>01신규등록384822.48508100000180570.8976590000020171121113216일반판매소051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-05-01 05:14:03
783250000199932500140120001009_28_08_PI2018-08-31 23:59:59.0<NA>영창석유<NA>부산광역시 중구 보수동1가 60-113번지48947<NA>1999102620101230<NA><NA><NA>03폐지<NA><NA>20101230163642일반판매소051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-05-01 05:14:03
893250000199932500140120001109_28_08_PI2018-08-31 23:59:59.0<NA>영동석유<NA>부산광역시 중구 영주동 470-10,17번지48947<NA>1999122420081107<NA><NA><NA>03폐지<NA><NA>20081107141354일반판매소051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-05-01 05:14:03
9103250000200032500830150000209_28_08_PI2018-08-31 23:59:59.0<NA>동륭케미칼(주)부산영업소<NA>부산광역시 중구 중앙동4가 84-1번지48938부산광역시 중구 충장대로5번길 26, 3층 303호 (중앙동4가)20000607<NA><NA><NA><NA>01신규등록385748.21746400000180936.6008820000020171122112647용제판매소051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-05-01 05:14:03
skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelgaspdtsortnmgassortnmupchnmsuprulesctnspyvoltltchgcnexmranprdsizbaeltbaeesbplcofftelnoofearbsnsopeningprearrymdwrkpgrdsrvsenmwrkptelnouseobjusemetdsnrspvsnsortnmequnmequcapstanmsygrglstcntfaciluseynrealcaptcobgbnnminstrstoroomarmotpowersortnmbmonuseqycyprpdtfacilcaptsaveequlocscoalarpermcnprdsenmfrequcgparrlservlnennmtregascaplast_load_dttm
1479사무실주소: 분포로 115A동 503호설계감리업종류명설비명설비용량소속국가명0시실질자본금업종구분명용기저장실면적원동력종류명160윤전기생산시설자본금저장설비위치저탄장면적전기사업허가조건제조구분명주파수차고지면적철도인입선유무명취급가스용량2021-05-01 05:14:03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
148079013310000202133101191220000109_28_14_PI2021-03-14 00:23:00.0특정고압가스업(주)우인건설지번우편번호부산광역시 남구 용호동 957-1 힐탑탑플레이스 A동 115호48515부산광역시 남구 분포로 115, 힐탑탑플레이스 (용호동)20210312폐업일자휴업시작일자휴업종료일자재개업일자영업/정상상세영업상태명392515.689667818183481.9411185720210312164859업태구분명전화번호가스용품종류명가스종류명거래처공급규정내용공급전압길이변경내용면제범위물품규격배관길이배관설치장소사무소전화번호사무실면적사업개시예정일자사업장부지용도구분명사업장전화번호강재절단, 압접용강재절단, 압접용<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1481사용처: 용호동 958<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1482사무실주소: 분포로 115A동 503호설계감리업종류명설비명설비용량소속국가명0시실질자본금업종구분명용기저장실면적원동력종류명160윤전기생산시설자본금저장설비위치저탄장면적전기사업허가조건제조구분명주파수차고지면적철도인입선유무명취급가스용량2021-05-01 05:14:03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
148379023380000202133800821220000109_28_14_PI2021-03-25 00:22:59.0특정고압가스업성진프라자지번우편번호부산광역시 수영구 민락동 181-204 성진회센터48283부산광역시 수영구 민락수변로 5, 성진회센터 (민락동)20210323폐업일자휴업시작일자휴업종료일자재개업일자영업/정상상세영업상태명393462.263967573186081.95920260520210323110820업태구분명전화번호가스용품종류명가스종류명거래처공급규정내용공급전압길이변경내용면제범위물품규격배관길이배관설치장소사무소전화번호사무실면적사업개시예정일자사업장부지용도구분명사업장전화번호건물내 물고기 산소용건물내 물고기 산소용설계감리업종류명설비명설비용량소속국가명10시실질자본금업종구분명용기저장실면적원동력종류명840윤전기생산시설자본금저장설비위치저탄장면적전기사업허가조건제조구분명주파수차고지면적철도인입선유무명취급가스용량2021-05-01 05:14:03
148479033340000202133401310220000109_28_05_PI2021-03-28 00:22:59.0고압가스업부산해양경찰청(다대파출소)지번우편번호부산광역시 사하구 다대동 680-5 부산해양경찰서 다대파출소49522부산광역시 사하구 다대동로 10, 부산해양경찰서 다대파출소 (다대동)20210326폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중379811.419557726174605.58332103720210326163004제조전화번호가스용품종류명가스종류명거래처공급규정내용공급전압길이변경내용면제범위물품규격배관길이배관설치장소사무소전화번호사무실면적사업개시예정일자사업장부지용도구분명사업장전화번호사용목적사용방법설계감리업종류명설비명설비용량소속국가명수용정원수시실질자본금업종구분명용기저장실면적원동력종류명월사용량윤전기생산시설자본금저장설비위치저탄장면적전기사업허가조건충전주파수차고지면적철도인입선유무명취급가스용량2021-05-01 05:14:03
148579043340000202133401310220000109_28_05_PI2021-03-28 00:22:59.0고압가스업부산해양경찰청(다대파출소)지번우편번호부산광역시 사하구 다대동 680-5 부산해양경찰서 다대파출소49522부산광역시 사하구 다대동로 10, 부산해양경찰서 다대파출소 (다대동)20210326폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중379811.419557726174605.58332103720210326163004제조전화번호가스용품종류명가스종류명거래처공급규정내용공급전압길이변경내용면제범위물품규격배관길이배관설치장소사무소전화번호사무실면적사업개시예정일자사업장부지용도구분명사업장전화번호사용목적사용방법설계감리업종류명설비명설비용량소속국가명수용정원수시실질자본금업종구분명용기저장실면적원동력종류명월사용량윤전기생산시설자본금저장설비위치저탄장면적전기사업허가조건충전주파수차고지면적철도인입선유무명취급가스용량2021-05-01 05:14:03
148679053360000202133601450150000109_28_08_PI2021-03-31 00:22:59.0석유판매업(주)OS에너지 OS신항주유소지번우편번호부산광역시 강서구 미음동 1652-246747부산광역시 강서구 가락대로 845 (미음동)20210325폐업일자휴업시작일자휴업종료일자재개업일자영업/정상신규등록좌표정보(X)좌표정보(Y)20210329130535주유소전화번호가스용품종류명가스종류명거래처공급규정내용공급전압길이변경내용면제범위물품규격배관길이배관설치장소사무소전화번호사무실면적사업개시예정일자사업장부지용도구분명사업장전화번호사용목적사용방법설계감리업종류명설비명설비용량소속국가명수용정원수시실질자본금업종구분명용기저장실면적원동력종류명월사용량윤전기생산시설자본금저장설비위치저탄장면적전기사업허가조건제조구분명주파수차고지면적철도인입선유무명취급가스용량2021-05-01 05:14:03
148779063340000202033401310220000109_28_05_PI2021-03-31 00:22:59.0고압가스업대선조선(주) 다대공장<NA>부산광역시 사하구 다대동 1553<NA><NA>20200323<NA><NA><NA><NA>영업/정상영업중381613.325457691174551.63564182620210329163814제조<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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>2021-05-01 05:14:03
148878983360000202133601450220000109_28_05_PI2021-02-24 00:23:01.0고압가스업(주)더켐뱅크<NA>부산광역시 강서구 지사동 1406-1<NA><NA>20210222<NA><NA><NA><NA>영업/정상영업중365455.524851569185355.89804967820210222164953제조<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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>2021-05-01 05:14:03

Duplicate rows

Most frequently occurring

skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelgaspdtsortnmgassortnmupchnmsuprulesctnspyvoltltchgcnexmranprdsizbaeltbaeesbplcofftelnoofearbsnsopeningprearrymdwrkpgrdsrvsenmwrkptelnouseobjusemetdsnrspvsnsortnmequnmequcapstanmsygrglstcntfaciluseynrealcaptcobgbnnminstrstoroomarmotpowersortnmbmonuseqycyprpdtfacilcaptsaveequlocscoalarpermcnprdsenmfrequcgparrlservlnennmtregascaplast_load_dttm# duplicates
2압축산소의 경우 이동식<NA><NA><NA><NA>170<NA><NA><NA><NA><NA>500<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-05-01 05:14:03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3
0사무실주소: 분포로 115A동 503호설계감리업종류명설비명설비용량소속국가명0시실질자본금업종구분명용기저장실면적원동력종류명160윤전기생산시설자본금저장설비위치저탄장면적전기사업허가조건제조구분명주파수차고지면적철도인입선유무명취급가스용량2021-05-01 05:14:03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
1사용처: 용호동 958<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2