Overview

Dataset statistics

Number of variables29
Number of observations321
Missing cells2190
Missing cells (%)23.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory77.9 KiB
Average record size in memory248.4 B

Variable types

Categorical10
Numeric7
DateTime4
Text5
Unsupported3

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),자산규모,부채총액,자본금,판매방식명
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-18764/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 has a high cardinality: 51 distinct valuesHigh cardinality
인허가취소일자 is highly imbalanced (92.4%)Imbalance
휴업시작일자 is highly imbalanced (97.0%)Imbalance
휴업종료일자 is highly imbalanced (97.0%)Imbalance
재개업일자 is highly imbalanced (95.4%)Imbalance
폐업일자 has 114 (35.5%) missing valuesMissing
전화번호 has 82 (25.5%) missing valuesMissing
소재지면적 has 321 (100.0%) missing valuesMissing
도로명주소 has 49 (15.3%) missing valuesMissing
도로명우편번호 has 156 (48.6%) missing valuesMissing
업태구분명 has 321 (100.0%) missing valuesMissing
좌표정보(X) has 36 (11.2%) missing valuesMissing
좌표정보(Y) has 36 (11.2%) missing valuesMissing
자산규모 has 249 (77.6%) missing valuesMissing
부채총액 has 256 (79.8%) missing valuesMissing
자본금 has 246 (76.6%) missing valuesMissing
판매방식명 has 321 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
판매방식명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자산규모 has 22 (6.9%) zerosZeros
부채총액 has 28 (8.7%) zerosZeros
자본금 has 19 (5.9%) zerosZeros

Reproduction

Analysis started2024-05-11 01:35:23.597284
Analysis finished2024-05-11 01:35:25.885300
Duration2.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
3120000
321 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 321
100.0%

Length

2024-05-11T01:35:26.284005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:26.841621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 321
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct321
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.011527 × 1018
Minimum1.996312 × 1018
Maximum2.024312 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T01:35:27.184163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.996312 × 1018
5-th percentile2.002312 × 1018
Q12.007312 × 1018
median2.010312 × 1018
Q32.016312 × 1018
95-th percentile2.021312 × 1018
Maximum2.024312 × 1018
Range2.8000011 × 1016
Interquartile range (IQR)9.0000076 × 1015

Descriptive statistics

Standard deviation6.0358773 × 1015
Coefficient of variation (CV)0.0030006445
Kurtosis-0.2630879
Mean2.011527 × 1018
Median Absolute Deviation (MAD)4.0000038 × 1015
Skewness-0.048821588
Sum6.4114007 × 1016
Variance3.6431814 × 1031
MonotonicityStrictly increasing
2024-05-11T01:35:27.825995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1996312010723200001 1
 
0.3%
2016312018323200003 1
 
0.3%
2014312018323200001 1
 
0.3%
2014312014523200015 1
 
0.3%
2014312014523200014 1
 
0.3%
2014312014523200012 1
 
0.3%
2014312014523200011 1
 
0.3%
2014312014523200010 1
 
0.3%
2014312014523200009 1
 
0.3%
2014312014523200008 1
 
0.3%
Other values (311) 311
96.9%
ValueCountFrequency (%)
1996312010723200001 1
0.3%
1996312010723200004 1
0.3%
1996312010723200005 1
0.3%
1996312010723200007 1
0.3%
1996312010723200018 1
0.3%
1996312010723200027 1
0.3%
1996312010723200028 1
0.3%
1997312010723200043 1
0.3%
1999312010723200073 1
0.3%
1999312010723200080 1
0.3%
ValueCountFrequency (%)
2024312021923200003 1
0.3%
2024312021923200002 1
0.3%
2024312021923200001 1
0.3%
2023312021923200004 1
0.3%
2023312021923200003 1
0.3%
2023312021923200002 1
0.3%
2023312021923200001 1
0.3%
2022312019223200009 1
0.3%
2022312019223200008 1
0.3%
2022312019223200007 1
0.3%

인허가일자
Date

Distinct299
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum1996-01-01 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T01:35:28.374048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:35:28.966496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
318 
20150102
 
3

Length

Max length8
Median length4
Mean length4.0373832
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> 318
99.1%
20150102 3
 
0.9%

Length

2024-05-11T01:35:29.849827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:30.425845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 318
99.1%
20150102 3
 
0.9%

영업상태코드
Categorical

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
3
203 
4
74 
1
39 
5
 
4
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row4
2nd row3
3rd row3
4th row3
5th row4

Common Values

ValueCountFrequency (%)
3 203
63.2%
4 74
 
23.1%
1 39
 
12.1%
5 4
 
1.2%
2 1
 
0.3%

Length

2024-05-11T01:35:30.932316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:31.457166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 203
63.2%
4 74
 
23.1%
1 39
 
12.1%
5 4
 
1.2%
2 1
 
0.3%

영업상태명
Categorical

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
폐업
203 
취소/말소/만료/정지/중지
74 
영업/정상
39 
제외/삭제/전출
 
4
휴업
 
1

Length

Max length14
Median length2
Mean length5.2056075
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row취소/말소/만료/정지/중지
2nd row폐업
3rd row폐업
4th row폐업
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
폐업 203
63.2%
취소/말소/만료/정지/중지 74
 
23.1%
영업/정상 39
 
12.1%
제외/삭제/전출 4
 
1.2%
휴업 1
 
0.3%

Length

2024-05-11T01:35:32.000250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:32.517338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 203
63.2%
취소/말소/만료/정지/중지 74
 
23.1%
영업/정상 39
 
12.1%
제외/삭제/전출 4
 
1.2%
휴업 1
 
0.3%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6728972
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T01:35:32.897765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.9093963
Coefficient of variation (CV)0.51986109
Kurtosis-0.45246743
Mean3.6728972
Median Absolute Deviation (MAD)0
Skewness0.8190183
Sum1179
Variance3.6457944
MonotonicityNot monotonic
2024-05-11T01:35:33.237910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 203
63.2%
7 71
 
22.1%
1 39
 
12.1%
5 4
 
1.2%
4 3
 
0.9%
2 1
 
0.3%
ValueCountFrequency (%)
1 39
 
12.1%
2 1
 
0.3%
3 203
63.2%
4 3
 
0.9%
5 4
 
1.2%
7 71
 
22.1%
ValueCountFrequency (%)
7 71
 
22.1%
5 4
 
1.2%
4 3
 
0.9%
3 203
63.2%
2 1
 
0.3%
1 39
 
12.1%

상세영업상태명
Categorical

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
폐업처리
203 
직권말소
71 
정상영업
39 
타시군구이관
 
4
직권취소
 
3

Length

Max length6
Median length4
Mean length4.0249221
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row직권말소
2nd row폐업처리
3rd row폐업처리
4th row폐업처리
5th row직권말소

Common Values

ValueCountFrequency (%)
폐업처리 203
63.2%
직권말소 71
 
22.1%
정상영업 39
 
12.1%
타시군구이관 4
 
1.2%
직권취소 3
 
0.9%
휴업처리 1
 
0.3%

Length

2024-05-11T01:35:33.771063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:34.246513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 203
63.2%
직권말소 71
 
22.1%
정상영업 39
 
12.1%
타시군구이관 4
 
1.2%
직권취소 3
 
0.9%
휴업처리 1
 
0.3%

폐업일자
Date

MISSING 

Distinct178
Distinct (%)86.0%
Missing114
Missing (%)35.5%
Memory size2.6 KiB
Minimum2007-05-28 00:00:00
Maximum2024-04-04 00:00:00
2024-05-11T01:35:34.856916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:35:35.516110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
320 
20210811
 
1

Length

Max length8
Median length4
Mean length4.0124611
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 320
99.7%
20210811 1
 
0.3%

Length

2024-05-11T01:35:36.155628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:36.575327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 320
99.7%
20210811 1
 
0.3%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
320 
20220810
 
1

Length

Max length8
Median length4
Mean length4.0124611
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 320
99.7%
20220810 1
 
0.3%

Length

2024-05-11T01:35:37.098067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:37.442941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 320
99.7%
20220810 1
 
0.3%

재개업일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
318 
20081027
 
1
20171130
 
1
20210112
 
1

Length

Max length8
Median length4
Mean length4.0373832
Min length4

Unique

Unique3 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 318
99.1%
20081027 1
 
0.3%
20171130 1
 
0.3%
20210112 1
 
0.3%

Length

2024-05-11T01:35:38.221957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:38.553518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 318
99.1%
20081027 1
 
0.3%
20171130 1
 
0.3%
20210112 1
 
0.3%

전화번호
Text

MISSING 

Distinct216
Distinct (%)90.4%
Missing82
Missing (%)25.5%
Memory size2.6 KiB
2024-05-11T01:35:39.204298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length10.338912
Min length2

Characters and Unicode

Total characters2471
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique207 ?
Unique (%)86.6%

Sample

1st row02 3216 2671
2nd row324-6222
3rd row02 722 2725
4th row309-9100
5th row02 312 5566
ValueCountFrequency (%)
02 71
 
20.6%
391 3
 
0.9%
364 3
 
0.9%
338 3
 
0.9%
379 3
 
0.9%
325 3
 
0.9%
362 2
 
0.6%
333 2
 
0.6%
304 2
 
0.6%
393 2
 
0.6%
Other values (239) 251
72.8%
2024-05-11T01:35:40.225488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 378
15.3%
2 360
14.6%
3 312
12.6%
- 293
11.9%
184
7.4%
7 167
6.8%
1 141
 
5.7%
6 138
 
5.6%
8 131
 
5.3%
9 127
 
5.1%
Other values (5) 240
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1991
80.6%
Dash Punctuation 293
 
11.9%
Space Separator 184
 
7.4%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 378
19.0%
2 360
18.1%
3 312
15.7%
7 167
8.4%
1 141
 
7.1%
6 138
 
6.9%
8 131
 
6.6%
9 127
 
6.4%
5 120
 
6.0%
4 117
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 293
100.0%
Space Separator
ValueCountFrequency (%)
184
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2471
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 378
15.3%
2 360
14.6%
3 312
12.6%
- 293
11.9%
184
7.4%
7 167
6.8%
1 141
 
5.7%
6 138
 
5.6%
8 131
 
5.3%
9 127
 
5.1%
Other values (5) 240
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2471
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 378
15.3%
2 360
14.6%
3 312
12.6%
- 293
11.9%
184
7.4%
7 167
6.8%
1 141
 
5.7%
6 138
 
5.6%
8 131
 
5.3%
9 127
 
5.1%
Other values (5) 240
9.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing321
Missing (%)100.0%
Memory size3.0 KiB

소재지우편번호
Categorical

HIGH CARDINALITY 

Distinct51
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
141 
120110
21 
120090
17 
120091
16 
120101
 
12
Other values (46)
114 

Length

Max length7
Median length6
Mean length5.1246106
Min length4

Unique

Unique31 ?
Unique (%)9.7%

Sample

1st row120091
2nd row120110
3rd row<NA>
4th row120120
5th row120100

Common Values

ValueCountFrequency (%)
<NA> 141
43.9%
120110 21
 
6.5%
120090 17
 
5.3%
120091 16
 
5.0%
120101 12
 
3.7%
120131 11
 
3.4%
120180 11
 
3.4%
120130 9
 
2.8%
120012 8
 
2.5%
120100 7
 
2.2%
Other values (41) 68
21.2%

Length

2024-05-11T01:35:40.668366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 141
43.9%
120110 21
 
6.5%
120090 17
 
5.3%
120091 16
 
5.0%
120101 12
 
3.7%
120131 11
 
3.4%
120180 11
 
3.4%
120130 9
 
2.8%
120012 8
 
2.5%
120190 7
 
2.2%
Other values (41) 68
21.2%

지번주소
Text

Distinct248
Distinct (%)78.0%
Missing3
Missing (%)0.9%
Memory size2.6 KiB
2024-05-11T01:35:41.053162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length26.745283
Min length9

Characters and Unicode

Total characters8505
Distinct characters196
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

Unique202 ?
Unique (%)63.5%

Sample

1st row서울특별시 서대문구 홍제*동 ***번지 **호 *층
2nd row서울특별시 서대문구 연희동 ***번지 대림상가 ***호
3rd row은평구 역촌동 **-**
4th row서울특별시 서대문구 남가좌동 ***번지 *호 *층
5th row서울특별시 서대문구 홍은동 ***번지 *호 *층
ValueCountFrequency (%)
서대문구 285
16.9%
서울특별시 274
16.2%
호 254
15.0%
번지 246
14.6%
층 68
 
4.0%
48
 
2.8%
홍제동 45
 
2.7%
북가좌동 42
 
2.5%
홍은동 42
 
2.5%
연희동 36
 
2.1%
Other values (170) 348
20.6%
2024-05-11T01:35:41.963272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1833
21.6%
1376
16.2%
서 575
 
6.8%
동 332
 
3.9%
구 311
 
3.7%
대 310
 
3.6%
문 295
 
3.5%
시 281
 
3.3%
울 274
 
3.2%
별 274
 
3.2%
Other values (186) 2644
31.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5181
60.9%
Other Punctuation 1853
 
21.8%
Space Separator 1376
 
16.2%
Dash Punctuation 70
 
0.8%
Uppercase Letter 21
 
0.2%
Lowercase Letter 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 575
 
11.1%
동 332
 
6.4%
구 311
 
6.0%
대 310
 
6.0%
문 295
 
5.7%
시 281
 
5.4%
울 274
 
5.3%
별 274
 
5.3%
특 274
 
5.3%
지 271
 
5.2%
Other values (169) 1984
38.3%
Uppercase Letter
ValueCountFrequency (%)
C 6
28.6%
D 5
23.8%
M 5
23.8%
A 1
 
4.8%
I 1
 
4.8%
K 1
 
4.8%
N 1
 
4.8%
B 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
* 1833
98.9%
@ 12
 
0.6%
, 7
 
0.4%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1376
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5181
60.9%
Common 3301
38.8%
Latin 23
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 575
 
11.1%
동 332
 
6.4%
구 311
 
6.0%
대 310
 
6.0%
문 295
 
5.7%
시 281
 
5.4%
울 274
 
5.3%
별 274
 
5.3%
특 274
 
5.3%
지 271
 
5.2%
Other values (169) 1984
38.3%
Latin
ValueCountFrequency (%)
C 6
26.1%
D 5
21.7%
M 5
21.7%
e 2
 
8.7%
A 1
 
4.3%
I 1
 
4.3%
K 1
 
4.3%
N 1
 
4.3%
B 1
 
4.3%
Common
ValueCountFrequency (%)
* 1833
55.5%
1376
41.7%
- 70
 
2.1%
@ 12
 
0.4%
, 7
 
0.2%
/ 1
 
< 0.1%
) 1
 
< 0.1%
( 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5181
60.9%
ASCII 3324
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1833
55.1%
1376
41.4%
- 70
 
2.1%
@ 12
 
0.4%
, 7
 
0.2%
C 6
 
0.2%
D 5
 
0.2%
M 5
 
0.2%
e 2
 
0.1%
/ 1
 
< 0.1%
Other values (7) 7
 
0.2%
Hangul
ValueCountFrequency (%)
서 575
 
11.1%
동 332
 
6.4%
구 311
 
6.0%
대 310
 
6.0%
문 295
 
5.7%
시 281
 
5.4%
울 274
 
5.3%
별 274
 
5.3%
특 274
 
5.3%
지 271
 
5.2%
Other values (169) 1984
38.3%

도로명주소
Text

MISSING 

Distinct248
Distinct (%)91.2%
Missing49
Missing (%)15.3%
Memory size2.6 KiB
2024-05-11T01:35:42.485191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length46
Mean length33.308824
Min length23

Characters and Unicode

Total characters9060
Distinct characters193
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

Unique230 ?
Unique (%)84.6%

Sample

1st row서울특별시 서대문구 연희로 ***, ***호 (연희동, 대림상가)
2nd row서울특별시 서대문구 수색로 **-*, *층 (남가좌동)
3rd row서울특별시 서대문구 가좌로 ***, *층 (홍은동)
4th row서울특별시 서대문구 신촌로 *** (북아현동,굴레방빌딩 *층)
5th row서울특별시 서대문구 연희로*길 **-**, 임광오피스텔 ***호 (연희동)
ValueCountFrequency (%)
276
16.4%
서울특별시 272
16.2%
서대문구 271
16.2%
호 91
 
5.4%
층 80
 
4.8%
홍제동 42
 
2.5%
북가좌동 36
 
2.1%
홍은동 34
 
2.0%
연희동 27
 
1.6%
동 27
 
1.6%
Other values (236) 522
31.1%
2024-05-11T01:35:43.473729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1410
 
15.6%
* 1384
 
15.3%
서 553
 
6.1%
, 306
 
3.4%
동 301
 
3.3%
대 300
 
3.3%
문 286
 
3.2%
울 275
 
3.0%
구 273
 
3.0%
시 273
 
3.0%
Other values (183) 3699
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5340
58.9%
Other Punctuation 1691
 
18.7%
Space Separator 1410
 
15.6%
Open Punctuation 272
 
3.0%
Close Punctuation 272
 
3.0%
Dash Punctuation 53
 
0.6%
Uppercase Letter 20
 
0.2%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 553
 
10.4%
동 301
 
5.6%
대 300
 
5.6%
문 286
 
5.4%
울 275
 
5.1%
구 273
 
5.1%
시 273
 
5.1%
별 272
 
5.1%
특 272
 
5.1%
로 257
 
4.8%
Other values (170) 2278
42.7%
Uppercase Letter
ValueCountFrequency (%)
D 6
30.0%
M 6
30.0%
C 6
30.0%
B 1
 
5.0%
A 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
* 1384
81.8%
, 306
 
18.1%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1410
100.0%
Open Punctuation
ValueCountFrequency (%)
( 272
100.0%
Close Punctuation
ValueCountFrequency (%)
) 272
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5340
58.9%
Common 3698
40.8%
Latin 22
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 553
 
10.4%
동 301
 
5.6%
대 300
 
5.6%
문 286
 
5.4%
울 275
 
5.1%
구 273
 
5.1%
시 273
 
5.1%
별 272
 
5.1%
특 272
 
5.1%
로 257
 
4.8%
Other values (170) 2278
42.7%
Common
ValueCountFrequency (%)
1410
38.1%
* 1384
37.4%
, 306
 
8.3%
( 272
 
7.4%
) 272
 
7.4%
- 53
 
1.4%
. 1
 
< 0.1%
Latin
ValueCountFrequency (%)
D 6
27.3%
M 6
27.3%
C 6
27.3%
e 2
 
9.1%
B 1
 
4.5%
A 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5340
58.9%
ASCII 3720
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1410
37.9%
* 1384
37.2%
, 306
 
8.2%
( 272
 
7.3%
) 272
 
7.3%
- 53
 
1.4%
D 6
 
0.2%
M 6
 
0.2%
C 6
 
0.2%
e 2
 
0.1%
Other values (3) 3
 
0.1%
Hangul
ValueCountFrequency (%)
서 553
 
10.4%
동 301
 
5.6%
대 300
 
5.6%
문 286
 
5.4%
울 275
 
5.1%
구 273
 
5.1%
시 273
 
5.1%
별 272
 
5.1%
특 272
 
5.1%
로 257
 
4.8%
Other values (170) 2278
42.7%

도로명우편번호
Text

MISSING 

Distinct107
Distinct (%)64.8%
Missing156
Missing (%)48.6%
Memory size2.6 KiB
2024-05-11T01:35:44.391312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4363636
Min length5

Characters and Unicode

Total characters897
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)46.7%

Sample

1st row120759
2nd row120802
3rd row120848
4th row03716
5th row120854
ValueCountFrequency (%)
120101 7
 
4.2%
03709 6
 
3.6%
120110 6
 
3.6%
120131 6
 
3.6%
03650 4
 
2.4%
03712 4
 
2.4%
120091 4
 
2.4%
120859 3
 
1.8%
03676 3
 
1.8%
120012 3
 
1.8%
Other values (97) 119
72.1%
2024-05-11T01:35:46.523525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 226
25.2%
1 161
17.9%
3 124
13.8%
2 99
11.0%
6 82
 
9.1%
7 73
 
8.1%
8 51
 
5.7%
4 29
 
3.2%
9 26
 
2.9%
5 25
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 896
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 226
25.2%
1 161
18.0%
3 124
13.8%
2 99
11.0%
6 82
 
9.2%
7 73
 
8.1%
8 51
 
5.7%
4 29
 
3.2%
9 26
 
2.9%
5 25
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 897
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 226
25.2%
1 161
17.9%
3 124
13.8%
2 99
11.0%
6 82
 
9.1%
7 73
 
8.1%
8 51
 
5.7%
4 29
 
3.2%
9 26
 
2.9%
5 25
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 897
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 226
25.2%
1 161
17.9%
3 124
13.8%
2 99
11.0%
6 82
 
9.1%
7 73
 
8.1%
8 51
 
5.7%
4 29
 
3.2%
9 26
 
2.9%
5 25
 
2.8%

사업장명
Text

Distinct314
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-11T01:35:47.368181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length7.4174455
Min length2

Characters and Unicode

Total characters2381
Distinct characters391
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

Unique308 ?
Unique (%)96.0%

Sample

1st row(주)건강리더
2nd row아현건강생활
3rd rowA+과학나라서부지사
4th row마임북가좌지사
5th row쉐보레명지대리점
ValueCountFrequency (%)
주식회사 15
 
3.5%
인셀덤 7
 
1.7%
코리아 4
 
0.9%
금성케미칼 3
 
0.7%
해피월드 3
 
0.7%
서대문지사 3
 
0.7%
현대엘리트 3
 
0.7%
korea 3
 
0.7%
스타 2
 
0.5%
쌍용자동차 2
 
0.5%
Other values (368) 379
89.4%
2024-05-11T01:35:48.740228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
 
4.3%
리 68
 
2.9%
사 63
 
2.6%
이 60
 
2.5%
대 56
 
2.4%
스 54
 
2.3%
아 48
 
2.0%
( 45
 
1.9%
) 45
 
1.9%
주 45
 
1.9%
Other values (381) 1794
75.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2010
84.4%
Space Separator 103
 
4.3%
Uppercase Letter 86
 
3.6%
Lowercase Letter 70
 
2.9%
Open Punctuation 45
 
1.9%
Close Punctuation 45
 
1.9%
Other Symbol 9
 
0.4%
Other Punctuation 7
 
0.3%
Decimal Number 5
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 68
 
3.4%
사 63
 
3.1%
이 60
 
3.0%
대 56
 
2.8%
스 54
 
2.7%
아 48
 
2.4%
주 45
 
2.2%
지 42
 
2.1%
점 41
 
2.0%
서 34
 
1.7%
Other values (328) 1499
74.6%
Uppercase Letter
ValueCountFrequency (%)
S 12
14.0%
C 8
 
9.3%
O 7
 
8.1%
M 6
 
7.0%
P 6
 
7.0%
A 6
 
7.0%
E 5
 
5.8%
R 5
 
5.8%
K 4
 
4.7%
H 4
 
4.7%
Other values (11) 23
26.7%
Lowercase Letter
ValueCountFrequency (%)
o 10
14.3%
e 6
 
8.6%
a 6
 
8.6%
n 6
 
8.6%
r 6
 
8.6%
i 5
 
7.1%
l 5
 
7.1%
y 3
 
4.3%
m 3
 
4.3%
s 3
 
4.3%
Other values (11) 17
24.3%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
2 1
 
20.0%
7 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
. 3
42.9%
& 2
28.6%
? 2
28.6%
Space Separator
ValueCountFrequency (%)
103
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2016
84.7%
Common 206
 
8.7%
Latin 156
 
6.6%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 68
 
3.4%
사 63
 
3.1%
이 60
 
3.0%
대 56
 
2.8%
스 54
 
2.7%
아 48
 
2.4%
주 45
 
2.2%
지 42
 
2.1%
점 41
 
2.0%
서 34
 
1.7%
Other values (326) 1505
74.7%
Latin
ValueCountFrequency (%)
S 12
 
7.7%
o 10
 
6.4%
C 8
 
5.1%
O 7
 
4.5%
M 6
 
3.8%
e 6
 
3.8%
a 6
 
3.8%
n 6
 
3.8%
P 6
 
3.8%
A 6
 
3.8%
Other values (32) 83
53.2%
Common
ValueCountFrequency (%)
103
50.0%
( 45
21.8%
) 45
21.8%
1 3
 
1.5%
. 3
 
1.5%
& 2
 
1.0%
? 2
 
1.0%
2 1
 
0.5%
+ 1
 
0.5%
7 1
 
0.5%
Han
ValueCountFrequency (%)
秀 1
33.3%
生 1
33.3%
守 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2007
84.3%
ASCII 362
 
15.2%
None 9
 
0.4%
CJK 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
28.5%
( 45
 
12.4%
) 45
 
12.4%
S 12
 
3.3%
o 10
 
2.8%
C 8
 
2.2%
O 7
 
1.9%
M 6
 
1.7%
e 6
 
1.7%
a 6
 
1.7%
Other values (42) 114
31.5%
Hangul
ValueCountFrequency (%)
리 68
 
3.4%
사 63
 
3.1%
이 60
 
3.0%
대 56
 
2.8%
스 54
 
2.7%
아 48
 
2.4%
주 45
 
2.2%
지 42
 
2.1%
점 41
 
2.0%
서 34
 
1.7%
Other values (325) 1496
74.5%
None
ValueCountFrequency (%)
㈜ 9
100.0%
CJK
ValueCountFrequency (%)
秀 1
33.3%
生 1
33.3%
守 1
33.3%

최종수정일자
Date

Distinct317
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2007-07-23 17:19:04
Maximum2024-05-08 15:17:45
2024-05-11T01:35:49.305761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:35:49.841078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
I
240 
U
81 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 240
74.8%
U 81
 
25.2%

Length

2024-05-11T01:35:50.449765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:50.881111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 240
74.8%
u 81
 
25.2%

데이터갱신일자
Date

Distinct80
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:00:00
2024-05-11T01:35:51.207117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:35:51.703650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing321
Missing (%)100.0%
Memory size3.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct224
Distinct (%)78.6%
Missing36
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean194335.64
Minimum191526.13
Maximum202537.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T01:35:52.188146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191526.13
5-th percentile191986.04
Q1193159.81
median194262.78
Q3195336.54
95-th percentile196745.1
Maximum202537.91
Range11011.786
Interquartile range (IQR)2176.7323

Descriptive statistics

Standard deviation1529.0978
Coefficient of variation (CV)0.0078683345
Kurtosis1.6434442
Mean194335.64
Median Absolute Deviation (MAD)1080.5389
Skewness0.45374457
Sum55385658
Variance2338140.2
MonotonicityNot monotonic
2024-05-11T01:35:52.797791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193998.104669318 10
 
3.1%
195394.842968752 7
 
2.2%
195079.810520281 6
 
1.9%
193803.424181589 4
 
1.2%
191900.345924872 4
 
1.2%
196626.844541919 3
 
0.9%
195280.710219904 3
 
0.9%
192307.272596276 3
 
0.9%
194993.036217674 3
 
0.9%
191971.959380003 2
 
0.6%
Other values (214) 240
74.8%
(Missing) 36
 
11.2%
ValueCountFrequency (%)
191526.125663524 1
 
0.3%
191725.089590592 1
 
0.3%
191778.716247587 1
 
0.3%
191779.070485342 1
 
0.3%
191798.272173715 2
0.6%
191877.676878389 1
 
0.3%
191885.316987682 1
 
0.3%
191900.345924872 4
1.2%
191971.959380003 2
0.6%
191982.31543206 1
 
0.3%
ValueCountFrequency (%)
202537.911994276 1
0.3%
197062.406516 1
0.3%
197028.132153511 1
0.3%
196921.265890833 1
0.3%
196913.333833025 1
0.3%
196899.242661444 1
0.3%
196884.166631688 1
0.3%
196851.907463121 1
0.3%
196850.221876572 1
0.3%
196820.124190281 2
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct224
Distinct (%)78.6%
Missing36
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean452828.66
Minimum450451.59
Maximum457556.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T01:35:53.291181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450451.59
5-th percentile450595.52
Q1451727.8
median452927.97
Q3453812.06
95-th percentile455128.84
Maximum457556.85
Range7105.2531
Interquartile range (IQR)2084.2579

Descriptive statistics

Standard deviation1368.4177
Coefficient of variation (CV)0.0030219327
Kurtosis-0.54104615
Mean452828.66
Median Absolute Deviation (MAD)1018.3248
Skewness0.066251417
Sum1.2905617 × 108
Variance1872567.1
MonotonicityNot monotonic
2024-05-11T01:35:53.838969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453150.85412164 10
 
3.1%
455355.645454924 7
 
2.2%
453920.732450148 6
 
1.9%
452723.457356207 4
 
1.2%
452626.221252439 4
 
1.2%
450926.293397092 3
 
0.9%
455193.014698844 3
 
0.9%
452028.412394505 3
 
0.9%
453946.296791694 3
 
0.9%
452913.889257902 2
 
0.6%
Other values (214) 240
74.8%
(Missing) 36
 
11.2%
ValueCountFrequency (%)
450451.593376617 2
0.6%
450514.653917441 1
0.3%
450525.834024158 1
0.3%
450536.968566815 1
0.3%
450545.586789985 2
0.6%
450550.942443352 1
0.3%
450551.128602701 1
0.3%
450565.932340121 1
0.3%
450573.690449065 2
0.6%
450585.956949942 1
0.3%
ValueCountFrequency (%)
457556.846505967 1
 
0.3%
455424.750371537 2
 
0.6%
455379.234918609 1
 
0.3%
455355.645454924 7
2.2%
455193.014698844 3
0.9%
455137.093661999 1
 
0.3%
455095.819177181 1
 
0.3%
454931.388457565 1
 
0.3%
454920.670841872 1
 
0.3%
454887.407765187 1
 
0.3%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct44
Distinct (%)61.1%
Missing249
Missing (%)77.6%
Infinite0
Infinite (%)0.0%
Mean2.1840425 × 109
Minimum0
Maximum7.4945756 × 1010
Zeros22
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T01:35:54.307557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median49438160
Q33.8794614 × 108
95-th percentile5.060124 × 109
Maximum7.4945756 × 1010
Range7.4945756 × 1010
Interquartile range (IQR)3.8794614 × 108

Descriptive statistics

Standard deviation1.00239 × 1010
Coefficient of variation (CV)4.5896085
Kurtosis42.937034
Mean2.1840425 × 109
Median Absolute Deviation (MAD)49438160
Skewness6.3902668
Sum1.5725106 × 1011
Variance1.0047857 × 1020
MonotonicityNot monotonic
2024-05-11T01:35:54.788886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 22
 
6.9%
905749683 4
 
1.2%
20000000 2
 
0.6%
50000000 2
 
0.6%
5000000 2
 
0.6%
10000000 2
 
0.6%
2238085 1
 
0.3%
3000000 1
 
0.3%
4120000000 1
 
0.3%
2417876627 1
 
0.3%
Other values (34) 34
 
10.6%
(Missing) 249
77.6%
ValueCountFrequency (%)
0 22
6.9%
1 1
 
0.3%
583386 1
 
0.3%
1038160 1
 
0.3%
2238085 1
 
0.3%
3000000 1
 
0.3%
5000000 2
 
0.6%
10000000 2
 
0.6%
13200000 1
 
0.3%
20000000 2
 
0.6%
ValueCountFrequency (%)
74945755704 1
0.3%
41186008699 1
0.3%
8000109155 1
0.3%
6012842745 1
0.3%
4280626762 1
0.3%
4120000000 1
0.3%
3363192581 1
0.3%
2417876627 1
0.3%
2100000000 1
0.3%
1191133572 1
0.3%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)53.8%
Missing256
Missing (%)79.8%
Infinite0
Infinite (%)0.0%
Mean1.0604598 × 109
Minimum0
Maximum3.4069581 × 1010
Zeros28
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T01:35:55.460216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16805398
Q33.5819839 × 108
95-th percentile2.9353166 × 109
Maximum3.4069581 × 1010
Range3.4069581 × 1010
Interquartile range (IQR)3.5819839 × 108

Descriptive statistics

Standard deviation4.4454139 × 109
Coefficient of variation (CV)4.1919681
Kurtosis49.482147
Mean1.0604598 × 109
Median Absolute Deviation (MAD)16805398
Skewness6.7901032
Sum6.892989 × 1010
Variance1.9761704 × 1019
MonotonicityNot monotonic
2024-05-11T01:35:55.934966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 28
 
8.7%
964566665 4
 
1.2%
1 1
 
0.3%
497652709 1
 
0.3%
1136293713 1
 
0.3%
1991300369 1
 
0.3%
165441386 1
 
0.3%
58271198 1
 
0.3%
73899265 1
 
0.3%
284264493 1
 
0.3%
Other values (25) 25
 
7.8%
(Missing) 256
79.8%
ValueCountFrequency (%)
0 28
8.7%
1 1
 
0.3%
2322581 1
 
0.3%
9340914 1
 
0.3%
10000000 1
 
0.3%
16805398 1
 
0.3%
20000000 1
 
0.3%
30000000 1
 
0.3%
43162975 1
 
0.3%
58271198 1
 
0.3%
ValueCountFrequency (%)
34069581178 1
 
0.3%
11061258816 1
 
0.3%
5277846270 1
 
0.3%
3158319703 1
 
0.3%
2043304402 1
 
0.3%
1991300369 1
 
0.3%
1400000000 1
 
0.3%
1136293713 1
 
0.3%
964566665 4
1.2%
663976848 1
 
0.3%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct42
Distinct (%)56.0%
Missing246
Missing (%)76.6%
Infinite0
Infinite (%)0.0%
Mean4.7871754 × 108
Minimum-1.64858 × 108
Maximum1.277039 × 1010
Zeros19
Zeros (%)5.9%
Negative1
Negative (%)0.3%
Memory size3.0 KiB
2024-05-11T01:35:56.467210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.64858 × 108
5-th percentile0
Q10
median40000000
Q31.55 × 108
95-th percentile1.1700898 × 109
Maximum1.277039 × 1010
Range1.2935248 × 1010
Interquartile range (IQR)1.55 × 108

Descriptive statistics

Standard deviation1.9682225 × 109
Coefficient of variation (CV)4.1114485
Kurtosis33.529909
Mean4.7871754 × 108
Median Absolute Deviation (MAD)40000000
Skewness5.806349
Sum3.5903816 × 1010
Variance3.8738999 × 1018
MonotonicityNot monotonic
2024-05-11T01:35:57.292459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 19
 
5.9%
58816982 4
 
1.2%
50000000 4
 
1.2%
5000000 4
 
1.2%
300000000 3
 
0.9%
30000000 2
 
0.6%
1000000 2
 
0.6%
100000000 2
 
0.6%
40000000 2
 
0.6%
1 1
 
0.3%
Other values (32) 32
 
10.0%
(Missing) 246
76.6%
ValueCountFrequency (%)
-164858000 1
 
0.3%
0 19
5.9%
1 1
 
0.3%
1000000 2
 
0.6%
3000000 1
 
0.3%
5000000 4
 
1.2%
10000000 1
 
0.3%
13200000 1
 
0.3%
20000000 1
 
0.3%
25000000 1
 
0.3%
ValueCountFrequency (%)
12770390000 1
0.3%
11490820000 1
0.3%
1319888179 1
0.3%
1281582914 1
0.3%
1122307059 1
0.3%
1000000000 1
0.3%
946225000 1
0.3%
734996474 1
0.3%
730107261 1
0.3%
500000000 1
0.3%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing321
Missing (%)100.0%
Memory size3.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
03120000199631201072320000119960823<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02 3216 2671<NA>120091서울특별시 서대문구 홍제*동 ***번지 **호 *층<NA><NA>(주)건강리더2013-02-20 17:56:34I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
13120000199631201072320000419960830<NA>3폐업3폐업처리20130911<NA><NA><NA>324-6222<NA>120110서울특별시 서대문구 연희동 ***번지 대림상가 ***호서울특별시 서대문구 연희로 ***, ***호 (연희동, 대림상가)120759아현건강생활2013-09-11 17:09:53I2018-08-31 23:59:59.0<NA>194297.832937452570.312593<NA><NA><NA><NA>
23120000199631201072320000519961014<NA>3폐업3폐업처리20080513<NA><NA><NA>02 722 2725<NA><NA>은평구 역촌동 **-**<NA><NA>A+과학나라서부지사2008-05-13 14:13:53I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
33120000199631201072320000719961029<NA>3폐업3폐업처리20130902<NA><NA><NA><NA><NA>120120서울특별시 서대문구 남가좌동 ***번지 *호 *층서울특별시 서대문구 수색로 **-*, *층 (남가좌동)120802마임북가좌지사2013-09-02 14:28:06I2018-08-31 23:59:59.0<NA>192500.456775451806.103388<NA><NA><NA><NA>
43120000199631201072320001819961118<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>309-9100<NA>120100서울특별시 서대문구 홍은동 ***번지 *호 *층서울특별시 서대문구 가좌로 ***, *층 (홍은동)120848쉐보레명지대리점2018-12-27 13:08:21U2018-12-29 02:40:00.0<NA>193422.545074453356.334098<NA><NA><NA><NA>
53120000199631201072320002719961207<NA>3폐업3폐업처리20150120<NA><NA><NA>02 312 5566<NA>120190서울특별시 서대문구 북아현동 ***번지 **호 굴레방빌딩 *층서울특별시 서대문구 신촌로 *** (북아현동,굴레방빌딩 *층)<NA>현대영어사2015-01-20 13:10:34I2018-08-31 23:59:59.0<NA>196253.551981450587.038797<NA><NA><NA><NA>
6312000019963120107232000281996-12-07<NA>1영업/정상1정상영업<NA><NA><NA><NA>02 325 3777<NA><NA>서울특별시 서대문구 연희동 ***서울특별시 서대문구 연희로*길 **-**, 임광오피스텔 ***호 (연희동)03716㈜현대엘리트2024-01-05 18:06:46U2023-12-01 00:07:00.0<NA>193470.778482451476.781603<NA><NA><NA><NA>
73120000199731201072320004319971229<NA>3폐업3폐업처리20080125<NA><NA><NA>02 379 2555<NA><NA>서대문구홍은동 ***- 벽산@*** ***<NA><NA>할수있다컴퓨터수학교실2008-01-25 13:48:20I2018-08-31 23:59:59.0<NA>193998.104669453150.854122<NA><NA><NA><NA>
83120000199931201072320007319990708<NA>3폐업3폐업처리20071227<NA><NA><NA>02 362 9110<NA><NA>고양시덕양구토당동***-**윤창빌라***<NA><NA>현대북아현판매대리점2007-12-27 13:27:25I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
93120000199931201072320008019990901<NA>3폐업3폐업처리20211223<NA><NA><NA>02 734 0105<NA>120091서울특별시 서대문구 홍제*동 ***번지 *호서울특별시 서대문구 통일로 *** (홍제동)120854정산생명공학 서대문지사2021-12-24 10:07:23U2021-12-26 02:40:00.0<NA>195297.115525453758.055554000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
3113120000202231201922320000720220728<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-322-0005<NA><NA>서울특별시 서대문구 연희동 ***-* 연희소프트빌서울특별시 서대문구 연희로 **, 연희소프트빌 *층 (연희동)03727현대 연희IC판매대리점2022-07-28 15:40:59I2021-12-06 21:00:00.0<NA>193650.230515451278.239607<NA><NA><NA><NA>
312312000020223120192232000082022-08-01<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 북가좌동 ***-** 서부프라자빌딩서울특별시 서대문구 응암로 **, 서부프라자빌딩 *층 (북가좌동)03691알브레인 세븐 미니?2023-11-20 11:17:26U2022-10-31 22:02:00.0<NA>192000.945942452848.009128<NA><NA><NA><NA>
313312000020223120192232000092022-12-06<NA>5제외/삭제/전출5타시군구이관2023-06-13<NA><NA><NA>02-989-8590<NA><NA>서울특별시 서대문구 신촌동 *** 연세대학교서울특별시 서대문구 연세로 **, 연세대학교 공학원 ***에이호 (신촌동)03722주식회사 더드림 랩2023-06-13 17:23:30U2022-12-05 23:05:00.0<NA>194584.959249451381.585492<NA><NA><NA><NA>
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