Overview

Dataset statistics

Number of variables21
Number of observations2873
Missing cells28778
Missing cells (%)47.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory502.3 KiB
Average record size in memory179.0 B

Variable types

Categorical3
Text6
DateTime2
Unsupported3
Numeric7

Alerts

영업상태구분코드 is highly imbalanced (79.5%)Imbalance
영업상태명 is highly imbalanced (58.1%)Imbalance
인허가취소일자 has 2873 (100.0%) missing valuesMissing
폐업일자 has 661 (23.0%) missing valuesMissing
소재지시설전화번호 has 2768 (96.3%) missing valuesMissing
소재지면적정보 has 2873 (100.0%) missing valuesMissing
도로명우편번호 has 2630 (91.5%) missing valuesMissing
소재지도로명주소 has 73 (2.5%) missing valuesMissing
소재지우편번호 has 229 (8.0%) missing valuesMissing
WGS84위도 has 309 (10.8%) missing valuesMissing
WGS84경도 has 309 (10.8%) missing valuesMissing
업태구분명정보 has 2873 (100.0%) missing valuesMissing
X좌표값 has 2635 (91.7%) missing valuesMissing
Y좌표값 has 2635 (91.7%) missing valuesMissing
자산규모액 has 2629 (91.5%) missing valuesMissing
부채총액 has 2629 (91.5%) missing valuesMissing
자본금액 has 2629 (91.5%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자산규모액 has 126 (4.4%) zerosZeros
부채총액 has 169 (5.9%) zerosZeros
자본금액 has 115 (4.0%) zerosZeros

Reproduction

Analysis started2023-12-10 21:25:16.207775
Analysis finished2023-12-10 21:25:17.245962
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
부천시
406 
고양시
378 
성남시
282 
수원시
279 
안산시
227 
Other values (26)
1301 

Length

Max length4
Median length3
Mean length3.0995475
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row가평군
2nd row고양시
3rd row고양시
4th row고양시
5th row고양시

Common Values

ValueCountFrequency (%)
부천시 406
14.1%
고양시 378
13.2%
성남시 282
9.8%
수원시 279
9.7%
안산시 227
 
7.9%
안양시 202
 
7.0%
의정부시 195
 
6.8%
용인시 106
 
3.7%
광명시 77
 
2.7%
구리시 77
 
2.7%
Other values (21) 644
22.4%

Length

2023-12-11T06:25:17.304284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부천시 406
14.1%
고양시 378
13.2%
성남시 282
9.8%
수원시 279
9.7%
안산시 227
 
7.9%
안양시 202
 
7.0%
의정부시 195
 
6.8%
용인시 106
 
3.7%
광명시 77
 
2.7%
구리시 77
 
2.7%
Other values (21) 644
22.4%

사업장명
Text

Distinct2619
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
2023-12-11T06:25:17.566753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length7.4806822
Min length1

Characters and Unicode

Total characters21492
Distinct characters644
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2405 ?
Unique (%)83.7%

Sample

1st row주식회사 모아넷
2nd row(주)에스에스컴퍼니
3rd row샘라이프상조주식회사
4th row제이비즈웍스(jbizworks)
5th row샤마임 주식회사
ValueCountFrequency (%)
주식회사 418
 
11.1%
주 68
 
1.8%
대부중개 12
 
0.3%
통신 10
 
0.3%
정보통신 10
 
0.3%
경기전화번호부 8
 
0.2%
국제결혼 8
 
0.2%
컴퍼니 6
 
0.2%
텔레콤 6
 
0.2%
신세계라이프 5
 
0.1%
Other values (2821) 3212
85.4%
2023-12-11T06:25:18.065550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1102
 
5.1%
890
 
4.1%
이 753
 
3.5%
( 744
 
3.5%
) 744
 
3.5%
스 652
 
3.0%
사 573
 
2.7%
회 496
 
2.3%
식 477
 
2.2%
신 406
 
1.9%
Other values (634) 14655
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17456
81.2%
Uppercase Letter 917
 
4.3%
Space Separator 890
 
4.1%
Open Punctuation 744
 
3.5%
Close Punctuation 744
 
3.5%
Lowercase Letter 487
 
2.3%
Decimal Number 116
 
0.5%
Other Punctuation 100
 
0.5%
Dash Punctuation 20
 
0.1%
Other Symbol 17
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1102
 
6.3%
이 753
 
4.3%
스 652
 
3.7%
사 573
 
3.3%
회 496
 
2.8%
식 477
 
2.7%
신 406
 
2.3%
통 373
 
2.1%
에 320
 
1.8%
보 318
 
1.8%
Other values (563) 11986
68.7%
Uppercase Letter
ValueCountFrequency (%)
S 100
 
10.9%
C 84
 
9.2%
T 83
 
9.1%
K 79
 
8.6%
L 54
 
5.9%
N 49
 
5.3%
I 45
 
4.9%
E 44
 
4.8%
O 43
 
4.7%
J 39
 
4.3%
Other values (15) 297
32.4%
Lowercase Letter
ValueCountFrequency (%)
e 64
13.1%
o 57
11.7%
t 46
 
9.4%
n 43
 
8.8%
s 29
 
6.0%
i 28
 
5.7%
a 27
 
5.5%
r 24
 
4.9%
l 20
 
4.1%
m 19
 
3.9%
Other values (14) 130
26.7%
Decimal Number
ValueCountFrequency (%)
1 58
50.0%
4 27
23.3%
3 7
 
6.0%
0 7
 
6.0%
5 4
 
3.4%
2 4
 
3.4%
8 3
 
2.6%
9 3
 
2.6%
6 2
 
1.7%
7 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 48
48.0%
& 38
38.0%
, 11
 
11.0%
· 1
 
1.0%
# 1
 
1.0%
' 1
 
1.0%
Space Separator
ValueCountFrequency (%)
890
100.0%
Open Punctuation
ValueCountFrequency (%)
( 744
100.0%
Close Punctuation
ValueCountFrequency (%)
) 744
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 17
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17467
81.3%
Common 2615
 
12.2%
Latin 1404
 
6.5%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1102
 
6.3%
이 753
 
4.3%
스 652
 
3.7%
사 573
 
3.3%
회 496
 
2.8%
식 477
 
2.7%
신 406
 
2.3%
통 373
 
2.1%
에 320
 
1.8%
보 318
 
1.8%
Other values (558) 11997
68.7%
Latin
ValueCountFrequency (%)
S 100
 
7.1%
C 84
 
6.0%
T 83
 
5.9%
K 79
 
5.6%
e 64
 
4.6%
o 57
 
4.1%
L 54
 
3.8%
N 49
 
3.5%
t 46
 
3.3%
I 45
 
3.2%
Other values (39) 743
52.9%
Common
ValueCountFrequency (%)
890
34.0%
( 744
28.5%
) 744
28.5%
1 58
 
2.2%
. 48
 
1.8%
& 38
 
1.5%
4 27
 
1.0%
- 20
 
0.8%
, 11
 
0.4%
3 7
 
0.3%
Other values (11) 28
 
1.1%
Han
ValueCountFrequency (%)
常 1
16.7%
企 1
16.7%
業 1
16.7%
享 1
16.7%
宣 1
16.7%
天 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17450
81.2%
ASCII 4018
 
18.7%
None 18
 
0.1%
CJK 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1102
 
6.3%
이 753
 
4.3%
스 652
 
3.7%
사 573
 
3.3%
회 496
 
2.8%
식 477
 
2.7%
신 406
 
2.3%
통 373
 
2.1%
에 320
 
1.8%
보 318
 
1.8%
Other values (557) 11980
68.7%
ASCII
ValueCountFrequency (%)
890
22.2%
( 744
18.5%
) 744
18.5%
S 100
 
2.5%
C 84
 
2.1%
T 83
 
2.1%
K 79
 
2.0%
e 64
 
1.6%
1 58
 
1.4%
o 57
 
1.4%
Other values (59) 1115
27.8%
None
ValueCountFrequency (%)
㈜ 17
94.4%
· 1
 
5.6%
CJK
ValueCountFrequency (%)
常 1
16.7%
企 1
16.7%
業 1
16.7%
享 1
16.7%
宣 1
16.7%
天 1
16.7%

인허가일자
Date

Distinct1862
Distinct (%)64.8%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
Minimum2002-02-04 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T06:25:18.206621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:18.333289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2873
Missing (%)100.0%
Memory size25.4 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
<NA>
2629 
1
 
158
3
 
64
5
 
18
7
 
2

Length

Max length4
Median length4
Mean length3.7452141
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> 2629
91.5%
1 158
 
5.5%
3 64
 
2.2%
5 18
 
0.6%
7 2
 
0.1%
2 2
 
0.1%

Length

2023-12-11T06:25:18.460393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:25:18.570878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2629
91.5%
1 158
 
5.5%
3 64
 
2.2%
5 18
 
0.6%
7 2
 
0.1%
2 2
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
폐업 등
2125 
운영중
504 
정상영업
 
158
폐업처리
 
64
타시군구이관
 
18
Other values (2)
 
4

Length

Max length6
Median length4
Mean length3.8371041
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 등 2125
74.0%
운영중 504
 
17.5%
정상영업 158
 
5.5%
폐업처리 64
 
2.2%
타시군구이관 18
 
0.6%
직권말소 2
 
0.1%
휴업처리 2
 
0.1%

Length

2023-12-11T06:25:18.685998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:25:18.779972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2125
42.5%
등 2125
42.5%
운영중 504
 
10.1%
정상영업 158
 
3.2%
폐업처리 64
 
1.3%
타시군구이관 18
 
0.4%
직권말소 2
 
< 0.1%
휴업처리 2
 
< 0.1%

폐업일자
Date

MISSING 

Distinct1215
Distinct (%)54.9%
Missing661
Missing (%)23.0%
Memory size22.6 KiB
Minimum2003-07-08 00:00:00
Maximum2023-12-01 00:00:00
2023-12-11T06:25:18.887297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:25:19.007785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct99
Distinct (%)94.3%
Missing2768
Missing (%)96.3%
Memory size22.6 KiB
2023-12-11T06:25:19.232551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.647619
Min length8

Characters and Unicode

Total characters1223
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)88.6%

Sample

1st row031-902-8830
2nd row1588-3953
3rd row031-964-5035
4th row031-995-8026
5th row031-919-2683
ValueCountFrequency (%)
031)976-0114 2
 
1.9%
031-432-1357 2
 
1.9%
070-7537-0327 2
 
1.9%
031-448-8282 2
 
1.9%
031-247-5008 2
 
1.9%
070-4945-9907 2
 
1.9%
031-238-1030 1
 
1.0%
575-9229 1
 
1.0%
031-677-7600 1
 
1.0%
031-502-3013 1
 
1.0%
Other values (89) 89
84.8%
2023-12-11T06:25:19.583419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 204
16.7%
- 186
15.2%
1 130
10.6%
3 129
10.5%
2 112
9.2%
7 95
7.8%
5 81
 
6.6%
8 79
 
6.5%
9 76
 
6.2%
4 67
 
5.5%
Other values (2) 64
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1035
84.6%
Dash Punctuation 186
 
15.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 204
19.7%
1 130
12.6%
3 129
12.5%
2 112
10.8%
7 95
9.2%
5 81
 
7.8%
8 79
 
7.6%
9 76
 
7.3%
4 67
 
6.5%
6 62
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 186
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1223
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 204
16.7%
- 186
15.2%
1 130
10.6%
3 129
10.5%
2 112
9.2%
7 95
7.8%
5 81
 
6.6%
8 79
 
6.5%
9 76
 
6.2%
4 67
 
5.5%
Other values (2) 64
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1223
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 204
16.7%
- 186
15.2%
1 130
10.6%
3 129
10.5%
2 112
9.2%
7 95
7.8%
5 81
 
6.6%
8 79
 
6.5%
9 76
 
6.2%
4 67
 
5.5%
Other values (2) 64
 
5.2%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2873
Missing (%)100.0%
Memory size25.4 KiB

도로명우편번호
Text

MISSING 

Distinct196
Distinct (%)80.7%
Missing2630
Missing (%)91.5%
Memory size22.6 KiB
2023-12-11T06:25:19.914779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0411523
Min length5

Characters and Unicode

Total characters1225
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

Unique165 ?
Unique (%)67.9%

Sample

1st row10390
2nd row10403
3rd row10402
4th row10364
5th row10260
ValueCountFrequency (%)
14544 6
 
2.5%
18469 5
 
2.1%
16488 4
 
1.6%
10403 4
 
1.6%
13943 3
 
1.2%
10402 3
 
1.2%
14353 3
 
1.2%
16006 3
 
1.2%
16514 3
 
1.2%
13595 2
 
0.8%
Other values (186) 207
85.2%
2023-12-11T06:25:20.348418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 319
26.0%
4 150
12.2%
5 119
 
9.7%
0 112
 
9.1%
6 103
 
8.4%
3 102
 
8.3%
2 88
 
7.2%
8 86
 
7.0%
9 73
 
6.0%
7 68
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1220
99.6%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 319
26.1%
4 150
12.3%
5 119
 
9.8%
0 112
 
9.2%
6 103
 
8.4%
3 102
 
8.4%
2 88
 
7.2%
8 86
 
7.0%
9 73
 
6.0%
7 68
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1225
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 319
26.0%
4 150
12.2%
5 119
 
9.7%
0 112
 
9.1%
6 103
 
8.4%
3 102
 
8.3%
2 88
 
7.2%
8 86
 
7.0%
9 73
 
6.0%
7 68
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1225
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 319
26.0%
4 150
12.2%
5 119
 
9.7%
0 112
 
9.1%
6 103
 
8.4%
3 102
 
8.3%
2 88
 
7.2%
8 86
 
7.0%
9 73
 
6.0%
7 68
 
5.6%

소재지도로명주소
Text

MISSING 

Distinct2527
Distinct (%)90.2%
Missing73
Missing (%)2.5%
Memory size22.6 KiB
2023-12-11T06:25:20.594022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length50
Mean length33.873929
Min length14

Characters and Unicode

Total characters94847
Distinct characters543
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2305 ?
Unique (%)82.3%

Sample

1st row경기도 가평군 청평면 경춘로 ***
2nd row경기도 고양시 일산동구 호수로 ***-**, ***호 (백석동, 동문타워II)
3rd row경기도 고양시 일산동구 성현로***번길 ***-*, 지층 (문봉동)
4th row경기도 고양시 일산동구 무궁화로 **, ***호 (장항동, 남정씨티프라자)
5th row경기도 고양시 일산동구 성현로***번안길 ***-** (성석동)
ValueCountFrequency (%)
2904
 
15.2%
경기도 2800
 
14.7%
호 1387
 
7.3%
층 657
 
3.4%
부천시 400
 
2.1%
고양시 374
 
2.0%
성남시 281
 
1.5%
수원시 274
 
1.4%
일산동구 223
 
1.2%
안산시 221
 
1.2%
Other values (2880) 9547
50.1%
2023-12-11T06:25:21.020306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 16609
17.5%
16275
17.2%
동 3430
 
3.6%
, 3213
 
3.4%
경 2990
 
3.2%
시 2962
 
3.1%
기 2896
 
3.1%
도 2858
 
3.0%
로 2761
 
2.9%
) 2522
 
2.7%
Other values (533) 38331
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52653
55.5%
Other Punctuation 19830
 
20.9%
Space Separator 16275
 
17.2%
Close Punctuation 2522
 
2.7%
Open Punctuation 2521
 
2.7%
Dash Punctuation 528
 
0.6%
Uppercase Letter 416
 
0.4%
Lowercase Letter 91
 
0.1%
Math Symbol 9
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3430
 
6.5%
경 2990
 
5.7%
시 2962
 
5.6%
기 2896
 
5.5%
도 2858
 
5.4%
로 2761
 
5.2%
호 1675
 
3.2%
구 1592
 
3.0%
길 1054
 
2.0%
양 1001
 
1.9%
Other values (480) 29434
55.9%
Uppercase Letter
ValueCountFrequency (%)
T 90
21.6%
K 78
18.8%
B 46
11.1%
A 38
9.1%
I 36
 
8.7%
C 22
 
5.3%
E 13
 
3.1%
S 10
 
2.4%
D 9
 
2.2%
P 9
 
2.2%
Other values (15) 65
15.6%
Lowercase Letter
ValueCountFrequency (%)
a 16
17.6%
t 12
13.2%
e 12
13.2%
k 11
12.1%
l 7
7.7%
z 6
 
6.6%
n 6
 
6.6%
i 5
 
5.5%
b 3
 
3.3%
h 3
 
3.3%
Other values (7) 10
11.0%
Other Punctuation
ValueCountFrequency (%)
* 16609
83.8%
, 3213
 
16.2%
/ 3
 
< 0.1%
& 3
 
< 0.1%
. 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
16275
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2522
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2521
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 528
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52655
55.5%
Common 41685
43.9%
Latin 507
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3430
 
6.5%
경 2990
 
5.7%
시 2962
 
5.6%
기 2896
 
5.5%
도 2858
 
5.4%
로 2761
 
5.2%
호 1675
 
3.2%
구 1592
 
3.0%
길 1054
 
2.0%
양 1001
 
1.9%
Other values (481) 29436
55.9%
Latin
ValueCountFrequency (%)
T 90
17.8%
K 78
15.4%
B 46
 
9.1%
A 38
 
7.5%
I 36
 
7.1%
C 22
 
4.3%
a 16
 
3.2%
E 13
 
2.6%
t 12
 
2.4%
e 12
 
2.4%
Other values (32) 144
28.4%
Common
ValueCountFrequency (%)
* 16609
39.8%
16275
39.0%
, 3213
 
7.7%
) 2522
 
6.1%
( 2521
 
6.0%
- 528
 
1.3%
~ 9
 
< 0.1%
/ 3
 
< 0.1%
& 3
 
< 0.1%
. 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52651
55.5%
ASCII 42192
44.5%
None 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 16609
39.4%
16275
38.6%
, 3213
 
7.6%
) 2522
 
6.0%
( 2521
 
6.0%
- 528
 
1.3%
T 90
 
0.2%
K 78
 
0.2%
B 46
 
0.1%
A 38
 
0.1%
Other values (42) 272
 
0.6%
Hangul
ValueCountFrequency (%)
동 3430
 
6.5%
경 2990
 
5.7%
시 2962
 
5.6%
기 2896
 
5.5%
도 2858
 
5.4%
로 2761
 
5.2%
호 1675
 
3.2%
구 1592
 
3.0%
길 1054
 
2.0%
양 1001
 
1.9%
Other values (478) 29432
55.9%
None
ValueCountFrequency (%)
㈜ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
50.0%
ㅈ 1
50.0%

소재지지번주소
Text

Distinct2502
Distinct (%)87.8%
Missing23
Missing (%)0.8%
Memory size22.6 KiB
2023-12-11T06:25:21.308116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length44
Mean length29.412632
Min length12

Characters and Unicode

Total characters83826
Distinct characters523
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2277 ?
Unique (%)79.9%

Sample

1st row경기도 가평군 청평면 청평리 ***번지 *호 네오스페이스오피스텔 ***호
2nd row경기도 고양시 일산동구 백석동 ****번지 동문타워II ***호
3rd row경기도 고양시 일산동구 문봉동 **-**번지 지층
4th row경기도 고양시 일산동구 장항동 ***-*번지 남정씨티프라자 ***호
5th row경기도 고양시 일산동구 성석동 ****-**번지
ValueCountFrequency (%)
경기도 2846
 
15.9%
번지 2571
 
14.3%
호 2412
 
13.4%
층 585
 
3.3%
464
 
2.6%
부천시 395
 
2.2%
고양시 233
 
1.3%
의정부시 194
 
1.1%
동 180
 
1.0%
수원시 172
 
1.0%
Other values (2026) 7892
44.0%
2023-12-11T06:25:21.738400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 17176
20.5%
15766
18.8%
동 3491
 
4.2%
시 2962
 
3.5%
기 2917
 
3.5%
도 2890
 
3.4%
경 2879
 
3.4%
지 2803
 
3.3%
호 2633
 
3.1%
번 2576
 
3.1%
Other values (513) 27733
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49385
58.9%
Other Punctuation 17255
 
20.6%
Space Separator 15766
 
18.8%
Dash Punctuation 874
 
1.0%
Uppercase Letter 400
 
0.5%
Lowercase Letter 86
 
0.1%
Close Punctuation 26
 
< 0.1%
Open Punctuation 25
 
< 0.1%
Math Symbol 7
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3491
 
7.1%
시 2962
 
6.0%
기 2917
 
5.9%
도 2890
 
5.9%
경 2879
 
5.8%
지 2803
 
5.7%
호 2633
 
5.3%
번 2576
 
5.2%
구 1589
 
3.2%
양 976
 
2.0%
Other values (459) 23669
47.9%
Uppercase Letter
ValueCountFrequency (%)
T 84
21.0%
K 75
18.8%
B 46
11.5%
A 42
10.5%
I 39
9.8%
C 22
 
5.5%
E 11
 
2.8%
S 10
 
2.5%
L 9
 
2.2%
D 8
 
2.0%
Other values (15) 54
13.5%
Lowercase Letter
ValueCountFrequency (%)
a 13
15.1%
e 12
14.0%
t 12
14.0%
k 11
12.8%
n 7
8.1%
l 6
7.0%
z 5
 
5.8%
i 5
 
5.8%
b 3
 
3.5%
h 3
 
3.5%
Other values (7) 9
10.5%
Other Punctuation
ValueCountFrequency (%)
* 17176
99.5%
, 62
 
0.4%
@ 6
 
< 0.1%
/ 4
 
< 0.1%
& 4
 
< 0.1%
. 3
 
< 0.1%
Space Separator
ValueCountFrequency (%)
15766
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 874
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49387
58.9%
Common 33953
40.5%
Latin 486
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3491
 
7.1%
시 2962
 
6.0%
기 2917
 
5.9%
도 2890
 
5.9%
경 2879
 
5.8%
지 2803
 
5.7%
호 2633
 
5.3%
번 2576
 
5.2%
구 1589
 
3.2%
양 976
 
2.0%
Other values (460) 23671
47.9%
Latin
ValueCountFrequency (%)
T 84
17.3%
K 75
15.4%
B 46
 
9.5%
A 42
 
8.6%
I 39
 
8.0%
C 22
 
4.5%
a 13
 
2.7%
e 12
 
2.5%
t 12
 
2.5%
k 11
 
2.3%
Other values (32) 130
26.7%
Common
ValueCountFrequency (%)
* 17176
50.6%
15766
46.4%
- 874
 
2.6%
, 62
 
0.2%
) 26
 
0.1%
( 25
 
0.1%
~ 7
 
< 0.1%
@ 6
 
< 0.1%
/ 4
 
< 0.1%
& 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49383
58.9%
ASCII 34439
41.1%
None 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 17176
49.9%
15766
45.8%
- 874
 
2.5%
T 84
 
0.2%
K 75
 
0.2%
, 62
 
0.2%
B 46
 
0.1%
A 42
 
0.1%
I 39
 
0.1%
) 26
 
0.1%
Other values (43) 249
 
0.7%
Hangul
ValueCountFrequency (%)
동 3491
 
7.1%
시 2962
 
6.0%
기 2917
 
5.9%
도 2890
 
5.9%
경 2879
 
5.8%
지 2803
 
5.7%
호 2633
 
5.3%
번 2576
 
5.2%
구 1589
 
3.2%
양 976
 
2.0%
Other values (457) 23667
47.9%
None
ValueCountFrequency (%)
㈜ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
50.0%
ㅈ 1
50.0%

소재지우편번호
Text

MISSING 

Distinct1179
Distinct (%)44.6%
Missing229
Missing (%)8.0%
Memory size22.6 KiB
2023-12-11T06:25:22.070247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.5926626
Min length5

Characters and Unicode

Total characters14787
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

Unique750 ?
Unique (%)28.4%

Sample

1st row477815
2nd row10449
3rd row10258
4th row10401
5th row10251
ValueCountFrequency (%)
410380 58
 
2.2%
480010 50
 
1.9%
442070 33
 
1.2%
425021 26
 
1.0%
435040 26
 
1.0%
462130 25
 
0.9%
420774 25
 
0.9%
420030 24
 
0.9%
430010 23
 
0.9%
410381 23
 
0.9%
Other values (1169) 2331
88.2%
2023-12-11T06:25:22.565888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 2761
18.7%
1 2682
18.1%
0 2645
17.9%
2 1441
9.7%
3 1171
7.9%
5 993
 
6.7%
8 980
 
6.6%
6 944
 
6.4%
7 699
 
4.7%
9 468
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14784
> 99.9%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 2761
18.7%
1 2682
18.1%
0 2645
17.9%
2 1441
9.7%
3 1171
7.9%
5 993
 
6.7%
8 980
 
6.6%
6 944
 
6.4%
7 699
 
4.7%
9 468
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14787
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 2761
18.7%
1 2682
18.1%
0 2645
17.9%
2 1441
9.7%
3 1171
7.9%
5 993
 
6.7%
8 980
 
6.6%
6 944
 
6.4%
7 699
 
4.7%
9 468
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14787
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 2761
18.7%
1 2682
18.1%
0 2645
17.9%
2 1441
9.7%
3 1171
7.9%
5 993
 
6.7%
8 980
 
6.6%
6 944
 
6.4%
7 699
 
4.7%
9 468
 
3.2%

WGS84위도
Real number (ℝ)

MISSING 

Distinct1858
Distinct (%)72.5%
Missing309
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean37.466631
Minimum36.956207
Maximum38.000831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-11T06:25:22.923097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.956207
5-th percentile37.227664
Q137.323975
median37.450105
Q337.635199
95-th percentile37.741191
Maximum38.000831
Range1.0446242
Interquartile range (IQR)0.31122436

Descriptive statistics

Standard deviation0.17799488
Coefficient of variation (CV)0.0047507575
Kurtosis-0.31698946
Mean37.466631
Median Absolute Deviation (MAD)0.14152381
Skewness0.011564406
Sum96064.442
Variance0.031682177
MonotonicityNot monotonic
2023-12-11T06:25:23.058462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.657095317 12
 
0.4%
36.994588217 9
 
0.3%
37.292013274 9
 
0.3%
37.4894635432 9
 
0.3%
37.5535037868 8
 
0.3%
37.6571180885 8
 
0.3%
37.6558930852 8
 
0.3%
37.4892468771 7
 
0.2%
37.3092070934 7
 
0.2%
37.4814429576 7
 
0.2%
Other values (1848) 2480
86.3%
(Missing) 309
 
10.8%
ValueCountFrequency (%)
36.9562072073 1
< 0.1%
36.9614496364 2
0.1%
36.9636772777 1
< 0.1%
36.9719730118 1
< 0.1%
36.9847308303 1
< 0.1%
36.9864542705 2
0.1%
36.9875356232 1
< 0.1%
36.9880278515 1
< 0.1%
36.9891900935 1
< 0.1%
36.9895144379 1
< 0.1%
ValueCountFrequency (%)
38.000831401 1
< 0.1%
37.9492291861 1
< 0.1%
37.9086803862 1
< 0.1%
37.9067397894 1
< 0.1%
37.9055339955 1
< 0.1%
37.9050002712 1
< 0.1%
37.9046812612 1
< 0.1%
37.9042750561 1
< 0.1%
37.9038679555 1
< 0.1%
37.9014118253 1
< 0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct1858
Distinct (%)72.5%
Missing309
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean126.95027
Minimum126.54211
Maximum127.64288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-11T06:25:23.180180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54211
5-th percentile126.7517
Q1126.78729
median126.94441
Q3127.08597
95-th percentile127.20693
Maximum127.64288
Range1.100761
Interquartile range (IQR)0.29868333

Descriptive statistics

Standard deviation0.16649192
Coefficient of variation (CV)0.0013114735
Kurtosis-0.12923966
Mean126.95027
Median Absolute Deviation (MAD)0.15568457
Skewness0.49536056
Sum325500.5
Variance0.02771956
MonotonicityNot monotonic
2023-12-11T06:25:23.334611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7754619719 12
 
0.4%
127.1020681725 9
 
0.3%
127.0114342489 9
 
0.3%
126.7564178626 9
 
0.3%
127.1946802895 8
 
0.3%
126.7703827515 8
 
0.3%
126.7719705633 8
 
0.3%
126.7563634523 7
 
0.2%
126.8510465998 7
 
0.2%
126.7948737193 7
 
0.2%
Other values (1848) 2480
86.3%
(Missing) 309
 
10.8%
ValueCountFrequency (%)
126.5421146126 1
< 0.1%
126.5671768605 1
< 0.1%
126.6115094128 1
< 0.1%
126.6212284456 1
< 0.1%
126.621303491 1
< 0.1%
126.6241095041 1
< 0.1%
126.6263124124 1
< 0.1%
126.6289868057 1
< 0.1%
126.6301467898 1
< 0.1%
126.6329573216 1
< 0.1%
ValueCountFrequency (%)
127.642875651 1
< 0.1%
127.642050034 1
< 0.1%
127.6382584085 1
< 0.1%
127.6288291683 1
< 0.1%
127.6185639757 1
< 0.1%
127.6075939582 1
< 0.1%
127.5010597257 1
< 0.1%
127.4974774481 1
< 0.1%
127.4923665765 1
< 0.1%
127.4903735989 1
< 0.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2873
Missing (%)100.0%
Memory size25.4 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct223
Distinct (%)93.7%
Missing2635
Missing (%)91.7%
Infinite0
Infinite (%)0.0%
Mean197724.91
Minimum166184.19
Maximum251938.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-11T06:25:23.475691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum166184.19
5-th percentile177521.29
Q1182495.63
median200012.65
Q3208935.44
95-th percentile218349.58
Maximum251938.54
Range85754.352
Interquartile range (IQR)26439.81

Descriptive statistics

Standard deviation15933.617
Coefficient of variation (CV)0.080584774
Kurtosis0.25628322
Mean197724.91
Median Absolute Deviation (MAD)11408.394
Skewness0.46633338
Sum47058528
Variance2.5388015 × 108
MonotonicityNot monotonic
2023-12-11T06:25:23.633916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
178038.654941912 3
 
0.1%
189919.310945708 3
 
0.1%
217137.519410187 2
 
0.1%
243926.971488591 2
 
0.1%
199121.920450955 2
 
0.1%
197982.14863383 2
 
0.1%
211594.067061676 2
 
0.1%
188867.45065886 2
 
0.1%
182588.840684945 2
 
0.1%
205273.931816708 2
 
0.1%
Other values (213) 216
 
7.5%
(Missing) 2635
91.7%
ValueCountFrequency (%)
166184.189300633 1
< 0.1%
167742.530870383 1
< 0.1%
171907.380876532 1
< 0.1%
172148.31237563 1
< 0.1%
172622.176897557 1
< 0.1%
175019.644318511 1
< 0.1%
175026.376409923 1
< 0.1%
175210.653856081 1
< 0.1%
175667.188401398 1
< 0.1%
175940.364207417 1
< 0.1%
ValueCountFrequency (%)
251938.541787226 1
< 0.1%
243926.971488591 2
0.1%
243104.079290009 1
< 0.1%
240564.151134533 1
< 0.1%
239629.864400914 1
< 0.1%
238979.941701169 1
< 0.1%
237123.261901038 1
< 0.1%
224717.099103892 1
< 0.1%
223026.563858007 1
< 0.1%
220843.287749474 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct223
Distinct (%)93.7%
Missing2635
Missing (%)91.7%
Infinite0
Infinite (%)0.0%
Mean436979.16
Minimum387202.48
Maximum490147.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-11T06:25:23.778558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum387202.48
5-th percentile408832.19
Q1420610.78
median434622.67
Q3455673.83
95-th percentile470026.17
Maximum490147.36
Range102944.88
Interquartile range (IQR)35063.046

Descriptive statistics

Standard deviation20455.215
Coefficient of variation (CV)0.046810505
Kurtosis-0.58358385
Mean436979.16
Median Absolute Deviation (MAD)15481.742
Skewness-0.025660601
Sum1.0400104 × 108
Variance4.1841583 × 108
MonotonicityNot monotonic
2023-12-11T06:25:23.923354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444806.206937757 3
 
0.1%
435641.27717849 3
 
0.1%
450158.241480494 2
 
0.1%
443235.968777065 2
 
0.1%
433212.828910976 2
 
0.1%
433123.910725025 2
 
0.1%
456094.504941687 2
 
0.1%
428339.00769161 2
 
0.1%
430776.747702976 2
 
0.1%
420610.782510294 2
 
0.1%
Other values (213) 216
 
7.5%
(Missing) 2635
91.7%
ValueCountFrequency (%)
387202.484653943 1
< 0.1%
388500.983072021 1
< 0.1%
388528.125695778 1
< 0.1%
389152.183461515 1
< 0.1%
389323.516075015 1
< 0.1%
390831.513747185 1
< 0.1%
395805.4634883 1
< 0.1%
397159.912442712 1
< 0.1%
399769.672343803 1
< 0.1%
402308.33608469 1
< 0.1%
ValueCountFrequency (%)
490147.362505886 1
< 0.1%
472197.725892122 1
< 0.1%
472074.770276695 1
< 0.1%
471952.050120805 1
< 0.1%
471843.91202834 1
< 0.1%
470764.345600355 1
< 0.1%
470677.929287169 1
< 0.1%
470527.10424928 1
< 0.1%
470199.783018904 1
< 0.1%
470137.63828593 1
< 0.1%

자산규모액
Real number (ℝ)

MISSING  ZEROS 

Distinct91
Distinct (%)37.3%
Missing2629
Missing (%)91.5%
Infinite0
Infinite (%)0.0%
Mean1.3977341 × 1011
Minimum0
Maximum1.984 × 1013
Zeros126
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-11T06:25:24.075752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31 × 108
95-th percentile6.0546803 × 109
Maximum1.984 × 1013
Range1.984 × 1013
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation1.3493315 × 1012
Coefficient of variation (CV)9.6537066
Kurtosis190.29149
Mean1.3977341 × 1011
Median Absolute Deviation (MAD)0
Skewness13.323157
Sum3.4104713 × 1013
Variance1.8206955 × 1024
MonotonicityNot monotonic
2023-12-11T06:25:24.206228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 126
 
4.4%
10000000 9
 
0.3%
5000000 6
 
0.2%
50000000 5
 
0.2%
100000000 4
 
0.1%
1000000 4
 
0.1%
20000000 3
 
0.1%
30000000 3
 
0.1%
170000000 2
 
0.1%
33000000 1
 
< 0.1%
Other values (81) 81
 
2.8%
(Missing) 2629
91.5%
ValueCountFrequency (%)
0 126
4.4%
1000000 4
 
0.1%
1005843 1
 
< 0.1%
4000000 1
 
< 0.1%
5000000 6
 
0.2%
8514000 1
 
< 0.1%
8614745 1
 
< 0.1%
10000000 9
 
0.3%
10425370 1
 
< 0.1%
11520000 1
 
< 0.1%
ValueCountFrequency (%)
19839999500000 1
< 0.1%
6018697800000 1
< 0.1%
3356125820000 1
< 0.1%
1923699970000 1
< 0.1%
1135295460000 1
< 0.1%
754183960000 1
< 0.1%
675351490000 1
< 0.1%
256581304000 1
< 0.1%
25040095200 1
< 0.1%
23104516100 1
< 0.1%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct75
Distinct (%)30.7%
Missing2629
Missing (%)91.5%
Infinite0
Infinite (%)0.0%
Mean8.6043175 × 1010
Minimum0
Maximum9.1709998 × 1012
Zeros169
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2023-12-11T06:25:24.340750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q331955105
95-th percentile4.7278706 × 109
Maximum9.1709998 × 1012
Range9.1709998 × 1012
Interquartile range (IQR)31955105

Descriptive statistics

Standard deviation7.1865819 × 1011
Coefficient of variation (CV)8.3522975
Kurtosis120.01087
Mean8.6043175 × 1010
Median Absolute Deviation (MAD)0
Skewness10.515746
Sum2.0994535 × 1013
Variance5.164696 × 1023
MonotonicityNot monotonic
2023-12-11T06:25:24.463092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 169
 
5.9%
200000000 2
 
0.1%
13442705400 1
 
< 0.1%
57135568 1
 
< 0.1%
1000000 1
 
< 0.1%
3573222660 1
 
< 0.1%
291838912 1
 
< 0.1%
30270140 1
 
< 0.1%
1200000000 1
 
< 0.1%
23000000 1
 
< 0.1%
Other values (65) 65
 
2.3%
(Missing) 2629
91.5%
ValueCountFrequency (%)
0 169
5.9%
40070 1
 
< 0.1%
1000000 1
 
< 0.1%
1290930 1
 
< 0.1%
1520000 1
 
< 0.1%
2370000 1
 
< 0.1%
5238841 1
 
< 0.1%
10528021 1
 
< 0.1%
11107946 1
 
< 0.1%
13381138 1
 
< 0.1%
ValueCountFrequency (%)
9170999800000 1
< 0.1%
5566056900000 1
< 0.1%
2858192730000 1
< 0.1%
1752300000000 1
< 0.1%
844027460000 1
< 0.1%
436500988000 1
< 0.1%
277354578000 1
< 0.1%
17529761800 1
< 0.1%
13442705400 1
< 0.1%
5382783500 1
< 0.1%

자본금액
Real number (ℝ)

MISSING  ZEROS 

Distinct60
Distinct (%)24.6%
Missing2629
Missing (%)91.5%
Infinite0
Infinite (%)0.0%
Mean7.8269828 × 1010
Minimum-4.2933667 × 108
Maximum1.668 × 1013
Zeros115
Zeros (%)4.0%
Negative4
Negative (%)0.1%
Memory size25.4 KiB
2023-12-11T06:25:24.580579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.2933667 × 108
5-th percentile0
Q10
median1000000
Q350000000
95-th percentile2.2023072 × 109
Maximum1.668 × 1013
Range1.668043 × 1013
Interquartile range (IQR)50000000

Descriptive statistics

Standard deviation1.0688508 × 1012
Coefficient of variation (CV)13.655974
Kurtosis242.46901
Mean7.8269828 × 1010
Median Absolute Deviation (MAD)1500000
Skewness15.548347
Sum1.9097838 × 1013
Variance1.1424419 × 1024
MonotonicityNot monotonic
2023-12-11T06:25:24.706311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 115
 
4.0%
10000000 21
 
0.7%
50000000 18
 
0.6%
5000000 8
 
0.3%
20000000 7
 
0.2%
100000000 7
 
0.2%
1000000 6
 
0.2%
300000000 4
 
0.1%
150000000 4
 
0.1%
30000000 4
 
0.1%
Other values (50) 50
 
1.7%
(Missing) 2629
91.5%
ValueCountFrequency (%)
-429336672 1
 
< 0.1%
-165521488 1
 
< 0.1%
-103707704 1
 
< 0.1%
-5596733 1
 
< 0.1%
0 115
4.0%
308228 1
 
< 0.1%
1000000 6
 
0.2%
3000000 1
 
< 0.1%
5000000 8
 
0.3%
8574675 1
 
< 0.1%
ValueCountFrequency (%)
16680000400000 1
< 0.1%
497932960000 1
< 0.1%
452641096000 1
< 0.1%
397996950000 1
< 0.1%
317683007000 1
< 0.1%
291268035000 1
< 0.1%
243138593000 1
< 0.1%
171400004000 1
< 0.1%
14753825800 1
< 0.1%
5583754200 1
< 0.1%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값자산규모액부채총액자본금액
0가평군주식회사 모아넷20110809<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 청평면 경춘로 ***경기도 가평군 청평면 청평리 ***번지 *호 네오스페이스오피스텔 ***호47781537.741461127.422853<NA><NA><NA><NA><NA><NA>
1고양시(주)에스에스컴퍼니20160804<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 호수로 ***-**, ***호 (백석동, 동문타워II)경기도 고양시 일산동구 백석동 ****번지 동문타워II ***호1044937.639927126.78617<NA><NA><NA><NA><NA><NA>
2고양시샘라이프상조주식회사20100929<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 성현로***번길 ***-*, 지층 (문봉동)경기도 고양시 일산동구 문봉동 **-**번지 지층1025837.700447126.833188<NA><NA><NA><NA><NA><NA>
3고양시제이비즈웍스(jbizworks)20160322<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 무궁화로 **, ***호 (장항동, 남정씨티프라자)경기도 고양시 일산동구 장항동 ***-*번지 남정씨티프라자 ***호1040137.662622126.768379<NA><NA><NA><NA><NA><NA>
4고양시샤마임 주식회사20170508<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 성현로***번안길 ***-** (성석동)경기도 고양시 일산동구 성석동 ****-**번지1025137.713606126.799056<NA><NA><NA><NA><NA><NA>
5고양시주식회사 엔터렘20170510<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 충장로***번길 **-*, ***호 (성사동, 효성상가)경기도 고양시 덕양구 성사동 ***-*번지 효성 상가 ***호1046537.654829126.842461<NA><NA><NA><NA><NA><NA>
6고양시누리쇼핑20170605<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 중앙로 ****, ***호 (장항동, 현대타운빌)경기도 고양시 일산동구 장항동 ***-*번지 현대타운빌 ***호1040337.656485126.77447<NA><NA><NA><NA><NA><NA>
7고양시경기전화번호부20080328<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산서구 중앙로 **** (대화동, 메드위즈***호)경기도 고양시 일산서구 대화동 ****번지 *호 메드위즈***호41141037.675624126.747715<NA><NA><NA><NA><NA><NA>
8고양시주식회사 피엔에스20100625<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 화정로 **-*, ***호 (화정동, 우리프라자)경기도 고양시 덕양구 화정동 ***-*번지 우리프라자 ***호1049737.63538126.83318<NA><NA><NA><NA><NA><NA>
9고양시(주) 더드림씨앤디20170731<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 산두로***번길 **-**, *층 (정발산동)경기도 고양시 일산동구 정발산동 ****-*번지 *층1035737.674439126.778695<NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값자산규모액부채총액자본금액
2863화성시퓨라체화장품20141212<NA><NA>폐업 등20150824<NA><NA><NA>경기도 화성시 동탄반송*길 **, ***호 (반송동)경기도 화성시 반송동 **-*번지 ***호1843437.210185127.062136<NA><NA><NA><NA><NA><NA>
2864화성시삼상이엔지(주)20150622<NA><NA>폐업 등20150825<NA><NA><NA>경기도 화성시 봉담읍 창작마을길 **-*경기도 화성시 봉담읍 당하리 **-**번지1833537.188462126.944254<NA><NA><NA><NA><NA><NA>
2865화성시(주) 스타텔링크20070907<NA><NA>폐업 등20070907<NA><NA><NA>경기도 화성시 병점중앙로***번길 **-**경기도 화성시 진안동 ***-**번지 *층 ***호44539037.211896127.040409<NA><NA><NA><NA><NA><NA>
2866화성시(주)인터뱅크20160727<NA><NA>폐업 등20170615<NA><NA><NA>경기도 화성시 여울로*길 **-*, ***호 (능동, 어반하임)경기도 화성시 능동 ****-*번지 어반하임 ***호1842237.218186127.056409<NA><NA><NA><NA><NA><NA>
2867화성시(주)혜원개발20161028<NA><NA>폐업 등20180205<NA><NA><NA>경기도 화성시 메타폴리스로 **-* (반송동, 서해더블루)경기도 화성시 반송동 **번지 *호18454<NA><NA><NA><NA><NA><NA><NA><NA>
2868화성시효모아협동조합20160427<NA><NA>폐업 등20170704<NA><NA><NA>경기도 화성시 향남읍 푸른들판로 ***-**, *층경기도 화성시 향남읍 장짐리 ***-**번지 *층1858737.136606126.911059<NA><NA><NA><NA><NA><NA>
2869화성시에이씨티 허브(ACT HUB) 화산본점20160729<NA><NA>폐업 등20170731<NA><NA><NA>경기도 화성시 용주로 *, ***호 (안녕동)경기도 화성시 안녕동 **-**번지 ***호1836037.20538127.015791<NA><NA><NA><NA><NA><NA>
2870화성시(주)스타텔링크20070920<NA><NA>폐업 등20120416<NA><NA><NA>경기도 화성시 병점중앙로***번길 **-**, ***호 (진안동)경기도 화성시 진안동 ***번지 **호 *층 ***호44539037.211896127.040409<NA><NA><NA><NA><NA><NA>
2871화성시애니원(Anyone)2016-09-07<NA>3폐업처리2023-03-29031-990-8201<NA>18455경기도 화성시 노작로 ***, 돌모루프라자 *층 ***호 (반송동)경기도 화성시 반송동 ***번지 *호 돌모루프라자<NA><NA><NA><NA>206447.475841411021.948565000
2872화성시주식회사 헬라2017-01-13<NA>3폐업처리2023-07-18031-698-4287<NA>18471경기도 화성시 동탄순환대로 ***, 에이팩시티 지하*층 B***호 (영천동)경기도 화성시 영천동 ***번지 *호 에이팩시티<NA><NA><NA><NA>208603.217648411878.019455654076128436555250000000