Overview

Dataset statistics

Number of variables24
Number of observations33
Missing cells300
Missing cells (%)37.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory210.0 B

Variable types

Categorical8
Text7
DateTime1
Unsupported6
Numeric2

Alerts

예치기관명 has constant value ""Constant
공제계약명 has constant value ""Constant
보험명 has constant value ""Constant
폐업일자 is highly imbalanced (70.8%)Imbalance
소재지시설전화번호 is highly imbalanced (66.6%)Imbalance
X좌표값 is highly imbalanced (70.8%)Imbalance
Y좌표값 is highly imbalanced (70.8%)Imbalance
자본금규모정보 is highly imbalanced (66.6%)Imbalance
인허가취소일자 has 33 (100.0%) missing valuesMissing
소재지면적정보 has 33 (100.0%) missing valuesMissing
도로명우편번호 has 33 (100.0%) missing valuesMissing
소재지도로명주소 has 1 (3.0%) missing valuesMissing
소재지지번주소 has 1 (3.0%) missing valuesMissing
소재지우편번호 has 1 (3.0%) missing valuesMissing
WGS84위도 has 2 (6.1%) missing valuesMissing
WGS84경도 has 2 (6.1%) missing valuesMissing
업태구분명정보 has 33 (100.0%) missing valuesMissing
민원종류명 has 33 (100.0%) missing valuesMissing
예치기관명 has 32 (97.0%) missing valuesMissing
공제계약명 has 31 (93.9%) missing valuesMissing
보험명 has 32 (97.0%) missing valuesMissing
채무지급보증 has 33 (100.0%) 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
도로명우편번호 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
민원종류명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
채무지급보증 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 21:22:40.993784
Analysis finished2023-12-10 21:22:41.310610
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct11
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size396.0 B
부천시
6 
고양시
5 
수원시
5 
성남시
4 
안양시
4 
Other values (6)
9 

Length

Max length4
Median length3
Mean length3.1212121
Min length3

Unique

Unique4 ?
Unique (%)12.1%

Sample

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

Common Values

ValueCountFrequency (%)
부천시 6
18.2%
고양시 5
15.2%
수원시 5
15.2%
성남시 4
12.1%
안양시 4
12.1%
의정부시 3
9.1%
용인시 2
 
6.1%
김포시 1
 
3.0%
남양주시 1
 
3.0%
오산시 1
 
3.0%

Length

2023-12-11T06:22:41.364771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부천시 6
18.2%
고양시 5
15.2%
수원시 5
15.2%
성남시 4
12.1%
안양시 4
12.1%
의정부시 3
9.1%
용인시 2
 
6.1%
김포시 1
 
3.0%
남양주시 1
 
3.0%
오산시 1
 
3.0%

사업장명
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T06:22:41.530755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length9.6666667
Min length5

Characters and Unicode

Total characters319
Distinct characters90
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

Unique31 ?
Unique (%)93.9%

Sample

1st row하늘문 주식회사
2nd row샘라이프상조 주식회사
3rd row(주)새마을상조복지
4th row(주)효진종합상조
5th row미소도움상조주식회사
ValueCountFrequency (%)
주식회사 18
35.3%
좋은세상 2
 
3.9%
샘라이프상조 1
 
2.0%
주)하늘가족 1
 
2.0%
주)우정라이프 1
 
2.0%
주)롯데금융상조 1
 
2.0%
대동상조이벤트 1
 
2.0%
한라상조(주 1
 
2.0%
다온플랜 1
 
2.0%
늘사랑상조 1
 
2.0%
Other values (23) 23
45.1%
2023-12-11T06:22:41.822501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 33
 
10.3%
사 24
 
7.5%
회 22
 
6.9%
상 21
 
6.6%
식 21
 
6.6%
조 18
 
5.6%
18
 
5.6%
( 12
 
3.8%
) 12
 
3.8%
이 9
 
2.8%
Other values (80) 129
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 277
86.8%
Space Separator 18
 
5.6%
Open Punctuation 12
 
3.8%
Close Punctuation 12
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 33
 
11.9%
사 24
 
8.7%
회 22
 
7.9%
상 21
 
7.6%
식 21
 
7.6%
조 18
 
6.5%
이 9
 
3.2%
라 8
 
2.9%
프 7
 
2.5%
합 4
 
1.4%
Other values (77) 110
39.7%
Space Separator
ValueCountFrequency (%)
18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 277
86.8%
Common 42
 
13.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 33
 
11.9%
사 24
 
8.7%
회 22
 
7.9%
상 21
 
7.6%
식 21
 
7.6%
조 18
 
6.5%
이 9
 
3.2%
라 8
 
2.9%
프 7
 
2.5%
합 4
 
1.4%
Other values (77) 110
39.7%
Common
ValueCountFrequency (%)
18
42.9%
( 12
28.6%
) 12
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 277
86.8%
ASCII 42
 
13.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 33
 
11.9%
사 24
 
8.7%
회 22
 
7.9%
상 21
 
7.6%
식 21
 
7.6%
조 18
 
6.5%
이 9
 
3.2%
라 8
 
2.9%
프 7
 
2.5%
합 4
 
1.4%
Other values (77) 110
39.7%
ASCII
ValueCountFrequency (%)
18
42.9%
( 12
28.6%
) 12
28.6%

인허가일자
Date

Distinct27
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2010-10-05 00:00:00
Maximum2023-07-06 00:00:00
2023-12-11T06:22:41.949533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:22:42.082385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
29 
1
4 

Length

Max length4
Median length4
Mean length3.6363636
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> 29
87.9%
1 4
 
12.1%

Length

2023-12-11T06:22:42.206773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:22:42.298827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
87.9%
1 4
 
12.1%

영업상태명
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
운영중
26 
영업중
4 
폐업 등
3 

Length

Max length4
Median length3
Mean length3.0909091
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 26
78.8%
영업중 4
 
12.1%
폐업 등 3
 
9.1%

Length

2023-12-11T06:22:42.401560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:22:42.499232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 26
72.2%
영업중 4
 
11.1%
폐업 3
 
8.3%
등 3
 
8.3%

폐업일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
30 
20180108
 
1
20170406
 
1
20170728
 
1

Length

Max length8
Median length4
Mean length4.3636364
Min length4

Unique

Unique3 ?
Unique (%)9.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row20180108

Common Values

ValueCountFrequency (%)
<NA> 30
90.9%
20180108 1
 
3.0%
20170406 1
 
3.0%
20170728 1
 
3.0%

Length

2023-12-11T06:22:42.610559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:22:42.752708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
90.9%
20180108 1
 
3.0%
20170406 1
 
3.0%
20170728 1
 
3.0%

소재지시설전화번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
29 
3115447046
 
1
7048205272
 
1
25759229
 
1
3115884331
 
1

Length

Max length10
Median length4
Mean length4.6666667
Min length4

Unique

Unique4 ?
Unique (%)12.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
87.9%
3115447046 1
 
3.0%
7048205272 1
 
3.0%
25759229 1
 
3.0%
3115884331 1
 
3.0%

Length

2023-12-11T06:22:42.863228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:22:42.971217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
87.9%
3115447046 1
 
3.0%
7048205272 1
 
3.0%
25759229 1
 
3.0%
3115884331 1
 
3.0%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

소재지도로명주소
Text

MISSING 

Distinct30
Distinct (%)93.8%
Missing1
Missing (%)3.0%
Memory size396.0 B
2023-12-11T06:22:43.189516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length40
Mean length33.28125
Min length18

Characters and Unicode

Total characters1065
Distinct characters142
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

Unique28 ?
Unique (%)87.5%

Sample

1st row경기도 고양시 덕양구 보광로106번길 46 (벽제동)
2nd row경기도 고양시 일산동구 성현로377번길 128-4, 지층 (문봉동)
3rd row경기도 고양시 일산동구 무궁화로 106 (정발산동)
4th row경기도 고양시 덕양구 통일로414번길 211 (대자동)
5th row경기도 고양시 덕양구 통일로 500, 201호 (대자동,동운상가)
ValueCountFrequency (%)
경기도 32
 
14.5%
부천시 6
 
2.7%
수원시 5
 
2.3%
고양시 5
 
2.3%
성남시 4
 
1.8%
안양시 4
 
1.8%
원미구 4
 
1.8%
덕양구 3
 
1.4%
8층 3
 
1.4%
의정부시 3
 
1.4%
Other values (123) 152
68.8%
2023-12-11T06:22:43.622411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
 
17.7%
동 40
 
3.8%
시 33
 
3.1%
기 33
 
3.1%
경 32
 
3.0%
로 32
 
3.0%
도 32
 
3.0%
) 30
 
2.8%
, 30
 
2.8%
( 30
 
2.8%
Other values (132) 584
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 615
57.7%
Space Separator 189
 
17.7%
Decimal Number 162
 
15.2%
Close Punctuation 30
 
2.8%
Other Punctuation 30
 
2.8%
Open Punctuation 30
 
2.8%
Uppercase Letter 6
 
0.6%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 40
 
6.5%
시 33
 
5.4%
기 33
 
5.4%
경 32
 
5.2%
로 32
 
5.2%
도 32
 
5.2%
구 25
 
4.1%
양 17
 
2.8%
원 16
 
2.6%
호 16
 
2.6%
Other values (113) 339
55.1%
Decimal Number
ValueCountFrequency (%)
0 28
17.3%
2 24
14.8%
1 21
13.0%
3 19
11.7%
6 17
10.5%
4 16
9.9%
7 10
 
6.2%
9 10
 
6.2%
5 9
 
5.6%
8 8
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
T 2
33.3%
K 1
16.7%
I 1
16.7%
Space Separator
ValueCountFrequency (%)
189
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 615
57.7%
Common 444
41.7%
Latin 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 40
 
6.5%
시 33
 
5.4%
기 33
 
5.4%
경 32
 
5.2%
로 32
 
5.2%
도 32
 
5.2%
구 25
 
4.1%
양 17
 
2.8%
원 16
 
2.6%
호 16
 
2.6%
Other values (113) 339
55.1%
Common
ValueCountFrequency (%)
189
42.6%
) 30
 
6.8%
, 30
 
6.8%
( 30
 
6.8%
0 28
 
6.3%
2 24
 
5.4%
1 21
 
4.7%
3 19
 
4.3%
6 17
 
3.8%
4 16
 
3.6%
Other values (5) 40
 
9.0%
Latin
ValueCountFrequency (%)
A 2
33.3%
T 2
33.3%
K 1
16.7%
I 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 615
57.7%
ASCII 450
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
189
42.0%
) 30
 
6.7%
, 30
 
6.7%
( 30
 
6.7%
0 28
 
6.2%
2 24
 
5.3%
1 21
 
4.7%
3 19
 
4.2%
6 17
 
3.8%
4 16
 
3.6%
Other values (9) 46
 
10.2%
Hangul
ValueCountFrequency (%)
동 40
 
6.5%
시 33
 
5.4%
기 33
 
5.4%
경 32
 
5.2%
로 32
 
5.2%
도 32
 
5.2%
구 25
 
4.1%
양 17
 
2.8%
원 16
 
2.6%
호 16
 
2.6%
Other values (113) 339
55.1%

소재지지번주소
Text

MISSING 

Distinct29
Distinct (%)90.6%
Missing1
Missing (%)3.0%
Memory size396.0 B
2023-12-11T06:22:43.904120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length31
Mean length26.3125
Min length1

Characters and Unicode

Total characters842
Distinct characters113
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

Unique27 ?
Unique (%)84.4%

Sample

1st row경기도 고양시 덕양구 벽제동 523번지 24호
2nd row경기도 고양시 일산동구 문봉동 21번지 27호 지층
3rd row경기도 고양시 일산동구 정발산동 816번지
4th row경기도 고양시 덕양구 대자동 278번지 1호
5th row경기도 고양시 덕양구 대자동 272번지 3호 201호
ValueCountFrequency (%)
경기도 29
 
15.4%
부천시 6
 
3.2%
수원시 5
 
2.7%
고양시 5
 
2.7%
원미구 4
 
2.1%
상동 4
 
2.1%
성남시 4
 
2.1%
덕양구 3
 
1.6%
의정부동 3
 
1.6%
2호 3
 
1.6%
Other values (98) 122
64.9%
2023-12-11T06:22:44.331119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
187
22.2%
동 31
 
3.7%
경 29
 
3.4%
기 29
 
3.4%
도 29
 
3.4%
시 29
 
3.4%
1 28
 
3.3%
지 28
 
3.3%
호 27
 
3.2%
번 27
 
3.2%
Other values (103) 398
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 499
59.3%
Space Separator 187
 
22.2%
Decimal Number 151
 
17.9%
Dash Punctuation 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 31
 
6.2%
경 29
 
5.8%
기 29
 
5.8%
도 29
 
5.8%
시 29
 
5.8%
지 28
 
5.6%
호 27
 
5.4%
번 27
 
5.4%
구 22
 
4.4%
원 15
 
3.0%
Other values (91) 233
46.7%
Decimal Number
ValueCountFrequency (%)
1 28
18.5%
2 24
15.9%
4 22
14.6%
8 17
11.3%
0 17
11.3%
3 16
10.6%
7 10
 
6.6%
6 9
 
6.0%
5 7
 
4.6%
9 1
 
0.7%
Space Separator
ValueCountFrequency (%)
187
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 499
59.3%
Common 343
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 31
 
6.2%
경 29
 
5.8%
기 29
 
5.8%
도 29
 
5.8%
시 29
 
5.8%
지 28
 
5.6%
호 27
 
5.4%
번 27
 
5.4%
구 22
 
4.4%
원 15
 
3.0%
Other values (91) 233
46.7%
Common
ValueCountFrequency (%)
187
54.5%
1 28
 
8.2%
2 24
 
7.0%
4 22
 
6.4%
8 17
 
5.0%
0 17
 
5.0%
3 16
 
4.7%
7 10
 
2.9%
6 9
 
2.6%
5 7
 
2.0%
Other values (2) 6
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 499
59.3%
ASCII 343
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
187
54.5%
1 28
 
8.2%
2 24
 
7.0%
4 22
 
6.4%
8 17
 
5.0%
0 17
 
5.0%
3 16
 
4.7%
7 10
 
2.9%
6 9
 
2.6%
5 7
 
2.0%
Other values (2) 6
 
1.7%
Hangul
ValueCountFrequency (%)
동 31
 
6.2%
경 29
 
5.8%
기 29
 
5.8%
도 29
 
5.8%
시 29
 
5.8%
지 28
 
5.6%
호 27
 
5.4%
번 27
 
5.4%
구 22
 
4.4%
원 15
 
3.0%
Other values (91) 233
46.7%

소재지우편번호
Text

MISSING 

Distinct30
Distinct (%)93.8%
Missing1
Missing (%)3.0%
Memory size396.0 B
2023-12-11T06:22:44.515643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.6875
Min length5

Characters and Unicode

Total characters182
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

Unique28 ?
Unique (%)87.5%

Sample

1st row412510
2nd row10258
3rd row410314
4th row412480
5th row412480
ValueCountFrequency (%)
412480 2
 
6.2%
13201 2
 
6.2%
412510 1
 
3.1%
440320 1
 
3.1%
480843 1
 
3.1%
11673 1
 
3.1%
480844 1
 
3.1%
449020 1
 
3.1%
16954 1
 
3.1%
447060 1
 
3.1%
Other values (20) 20
62.5%
2023-12-11T06:22:44.869823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 39
21.4%
0 36
19.8%
1 28
15.4%
2 22
12.1%
3 15
 
8.2%
6 13
 
7.1%
8 12
 
6.6%
5 7
 
3.8%
7 5
 
2.7%
9 4
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 181
99.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 39
21.5%
0 36
19.9%
1 28
15.5%
2 22
12.2%
3 15
 
8.3%
6 13
 
7.2%
8 12
 
6.6%
5 7
 
3.9%
7 5
 
2.8%
9 4
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 182
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 39
21.4%
0 36
19.8%
1 28
15.4%
2 22
12.1%
3 15
 
8.2%
6 13
 
7.1%
8 12
 
6.6%
5 7
 
3.8%
7 5
 
2.7%
9 4
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 182
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 39
21.4%
0 36
19.8%
1 28
15.4%
2 22
12.1%
3 15
 
8.2%
6 13
 
7.1%
8 12
 
6.6%
5 7
 
3.8%
7 5
 
2.7%
9 4
 
2.2%

WGS84위도
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)90.3%
Missing2
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean37.475532
Minimum37.146591
Maximum37.743965
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-11T06:22:44.993131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.146591
5-th percentile37.241639
Q137.331836
median37.485727
Q337.656416
95-th percentile37.740988
Maximum37.743965
Range0.59737407
Interquartile range (IQR)0.32458086

Descriptive statistics

Standard deviation0.17698927
Coefficient of variation (CV)0.0047227952
Kurtosis-1.1213384
Mean37.475532
Median Absolute Deviation (MAD)0.18084716
Skewness0.06903507
Sum1161.7415
Variance0.0313252
MonotonicityNot monotonic
2023-12-11T06:22:45.116948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
37.4015014234 2
 
6.1%
37.4905145943 2
 
6.1%
37.4406568155 2
 
6.1%
37.285769693 1
 
3.0%
37.7434292421 1
 
3.0%
37.7385466837 1
 
3.0%
37.7439651244 1
 
3.0%
37.2353061338 1
 
3.0%
37.2707064991 1
 
3.0%
37.1465910554 1
 
3.0%
Other values (18) 18
54.5%
(Missing) 2
 
6.1%
ValueCountFrequency (%)
37.1465910554 1
3.0%
37.2353061338 1
3.0%
37.2479715332 1
3.0%
37.2521931551 1
3.0%
37.2707064991 1
3.0%
37.2818400133 1
3.0%
37.285769693 1
3.0%
37.3048796556 1
3.0%
37.3587914789 1
3.0%
37.4015014234 2
6.1%
ValueCountFrequency (%)
37.7439651244 1
3.0%
37.7434292421 1
3.0%
37.7385466837 1
3.0%
37.7246758351 1
3.0%
37.7004469326 1
3.0%
37.6779480386 1
3.0%
37.676017522 1
3.0%
37.6669142771 1
3.0%
37.6459185768 1
3.0%
37.60276596 1
3.0%

WGS84경도
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)90.3%
Missing2
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean126.95805
Minimum126.75158
Maximum127.20467
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-11T06:22:45.241280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.75158
5-th percentile126.75192
Q1126.81422
median126.97203
Q3127.0751
95-th percentile127.17252
Maximum127.20467
Range0.45309428
Interquartile range (IQR)0.26087725

Descriptive statistics

Standard deviation0.14670082
Coefficient of variation (CV)0.0011555063
Kurtosis-1.323054
Mean126.95805
Median Absolute Deviation (MAD)0.105064
Skewness-0.085343718
Sum3935.6994
Variance0.02152113
MonotonicityNot monotonic
2023-12-11T06:22:45.641525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
126.8975469686 2
 
6.1%
126.7515773022 2
 
6.1%
127.1725190689 2
 
6.1%
127.0078195002 1
 
3.0%
127.0496953006 1
 
3.0%
127.038715765 1
 
3.0%
127.0507703449 1
 
3.0%
127.2046715824 1
 
3.0%
127.0675947052 1
 
3.0%
127.0747658715 1
 
3.0%
Other values (18) 18
54.5%
(Missing) 2
 
6.1%
ValueCountFrequency (%)
126.7515773022 2
6.1%
126.7522596034 1
3.0%
126.752744866 1
3.0%
126.7550162583 1
3.0%
126.7745728303 1
3.0%
126.7806588073 1
3.0%
126.7952595287 1
3.0%
126.8331878686 1
3.0%
126.8876865244 1
3.0%
126.8908435691 1
3.0%
ValueCountFrequency (%)
127.2046715824 1
3.0%
127.1725190689 2
6.1%
127.1256884345 1
3.0%
127.1149348325 1
3.0%
127.1060587259 1
3.0%
127.0770946845 1
3.0%
127.0754360338 1
3.0%
127.0747658715 1
3.0%
127.0675947052 1
3.0%
127.0507703449 1
3.0%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

X좌표값
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
30 
211022.980991253
 
1
197453.759729089
 
1
205798.576914775
 
1

Length

Max length16
Median length4
Mean length5.0909091
Min length4

Unique

Unique3 ?
Unique (%)9.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
90.9%
211022.980991253 1
 
3.0%
197453.759729089 1
 
3.0%
205798.576914775 1
 
3.0%

Length

2023-12-11T06:22:45.790029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:22:45.895142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
90.9%
211022.980991253 1
 
3.0%
197453.759729089 1
 
3.0%
205798.576914775 1
 
3.0%

Y좌표값
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
30 
460402.799208436
 
1
433743.270013416
 
1
418776.397921083
 
1

Length

Max length16
Median length4
Mean length5.0909091
Min length4

Unique

Unique3 ?
Unique (%)9.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
90.9%
460402.799208436 1
 
3.0%
433743.270013416 1
 
3.0%
418776.397921083 1
 
3.0%

Length

2023-12-11T06:22:46.008556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:22:46.104901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
90.9%
460402.799208436 1
 
3.0%
433743.270013416 1
 
3.0%
418776.397921083 1
 
3.0%

민원종류명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

자본금규모정보
Categorical

IMBALANCE 

Distinct5
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
29 
1500000000
 
1
1500300030
 
1
1590000000
 
1
15000000500
 
1

Length

Max length11
Median length4
Mean length4.7575758
Min length4

Unique

Unique4 ?
Unique (%)12.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
87.9%
1500000000 1
 
3.0%
1500300030 1
 
3.0%
1590000000 1
 
3.0%
15000000500 1
 
3.0%

Length

2023-12-11T06:22:46.217269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:22:46.353066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
87.9%
1500000000 1
 
3.0%
1500300030 1
 
3.0%
1590000000 1
 
3.0%
15000000500 1
 
3.0%

예치기관명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing32
Missing (%)97.0%
Memory size396.0 B
2023-12-11T06:22:46.465092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row신한은행
ValueCountFrequency (%)
신한은행 1
100.0%
2023-12-11T06:22:46.701602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
신 1
25.0%
한 1
25.0%
은 1
25.0%
행 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
신 1
25.0%
한 1
25.0%
은 1
25.0%
행 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
신 1
25.0%
한 1
25.0%
은 1
25.0%
행 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
신 1
25.0%
한 1
25.0%
은 1
25.0%
행 1
25.0%

공제계약명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing31
Missing (%)93.9%
Memory size396.0 B
2023-12-11T06:22:46.795375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
ValueCountFrequency (%)
기타 2
100.0%
2023-12-11T06:22:47.026320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

보험명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing32
Missing (%)97.0%
Memory size396.0 B
2023-12-11T06:22:47.199707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters10
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row한국특수거래공제조합
ValueCountFrequency (%)
한국특수거래공제조합 1
100.0%
2023-12-11T06:22:47.504169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
한 1
10.0%
국 1
10.0%
특 1
10.0%
수 1
10.0%
거 1
10.0%
래 1
10.0%
공 1
10.0%
제 1
10.0%
조 1
10.0%
합 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 1
10.0%
국 1
10.0%
특 1
10.0%
수 1
10.0%
거 1
10.0%
래 1
10.0%
공 1
10.0%
제 1
10.0%
조 1
10.0%
합 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 1
10.0%
국 1
10.0%
특 1
10.0%
수 1
10.0%
거 1
10.0%
래 1
10.0%
공 1
10.0%
제 1
10.0%
조 1
10.0%
합 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
한 1
10.0%
국 1
10.0%
특 1
10.0%
수 1
10.0%
거 1
10.0%
래 1
10.0%
공 1
10.0%
제 1
10.0%
조 1
10.0%
합 1
10.0%

채무지급보증
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값민원종류명자본금규모정보예치기관명공제계약명보험명채무지급보증
0고양시하늘문 주식회사20101108<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 보광로106번길 46 (벽제동)경기도 고양시 덕양구 벽제동 523번지 24호41251037.724676126.90952<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1고양시샘라이프상조 주식회사20101005<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 성현로377번길 128-4, 지층 (문봉동)경기도 고양시 일산동구 문봉동 21번지 27호 지층1025837.700447126.833188<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2고양시(주)새마을상조복지20101129<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 무궁화로 106 (정발산동)경기도 고양시 일산동구 정발산동 816번지41031437.666914126.774573<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3고양시(주)효진종합상조20110128<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 통일로414번길 211 (대자동)경기도 고양시 덕양구 대자동 278번지 1호41248037.676018126.890844<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4고양시미소도움상조주식회사20121016<NA><NA>폐업 등20180108<NA><NA><NA>경기도 고양시 덕양구 통일로 500, 201호 (대자동,동운상가)경기도 고양시 덕양구 대자동 272번지 3호 201호41248037.677948126.887687<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5김포시주식회사 국민상조20101005<NA><NA>운영중<NA><NA><NA><NA>경기도 김포시 고촌읍 전호로26번길 29경기도 김포시 고촌읍 전호리 18번지 2호41581637.602766126.79526<NA><NA><NA><NA><NA><NA><NA><NA><NA>
6남양주시그랜드라이프주식회사2023-07-06<NA>1영업중<NA>3115447046<NA><NA>경기도 남양주시 별내중앙로 30, 3층 305-7호 (별내동)1211337.645919127.125688<NA>211022.980991460402.799208<NA>1500000000<NA><NA>한국특수거래공제조합<NA>
7부천시(주)예사랑라이프20110321<NA><NA>운영중<NA><NA><NA><NA>경기도 부천시 부일로 226, 302호 (상동,대명그린프라자)경기도 부천시 상동 463번지 302호 대명그린프라자1462437.48822126.755016<NA><NA><NA><NA><NA><NA><NA><NA><NA>
8부천시우리상조주식회사20101015<NA><NA>운영중<NA><NA><NA><NA>경기도 부천시 원미구 부일로 454 (심곡동,한림빌딩 8층)경기도 부천시 원미구 심곡동 383번지 15호 한림빌딩 8층42082737.485918126.780659<NA><NA><NA><NA><NA><NA><NA><NA><NA>
9부천시하나연합상조 주식회사20110104<NA><NA>운영중<NA><NA><NA><NA>경기도 부천시 소사구 송내대로 23 (송내동,가원빌딩 5층)경기도 부천시 소사구 송내동 708번지 2호 가원빌딩 5층42204037.485727126.752745<NA><NA><NA><NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값민원종류명자본금규모정보예치기관명공제계약명보험명채무지급보증
23안양시주식회사 용인공원라이프2020-11-21<NA>1영업중<NA>25759229<NA><NA>경기도 안양시 동안구 동편로20번길 9, 스마트넷빌딩 4층 401호 (관양동)1392937.405778126.972031<NA>197453.759729433743.270013<NA>1590000000<NA>기타<NA><NA>
24안양시주식회사 좋은세상20101129<NA><NA>운영중<NA><NA><NA><NA>경기도 안양시 만안구 박달로 406, 2층 (박달동)경기도 안양시 만안구 박달동43003137.401501126.897547<NA><NA><NA><NA><NA><NA><NA><NA><NA>
25안양시주식회사 늘사랑상조20140724<NA><NA>폐업 등20170728<NA><NA><NA>경기도 안양시 동안구 관악대로 10-18, 206호 (관양동)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
26오산시주식회사 드림상조종합이벤트20101102<NA><NA>운영중<NA><NA><NA><NA>경기도 오산시 대원로 57, 203동 에이호 (원동,중앙씨티윌 3)경기도 오산시 원동 813번지 5호 중앙씨티윌 3 203동 에이호44706037.146591127.074766<NA><NA><NA><NA><NA><NA><NA><NA><NA>
27용인시한라상조(주)2018-09-10<NA>1영업중<NA>3115884331<NA><NA>경기도 용인시 기흥구 흥덕1로 13, 흥덕IT밸리 A동 603호 (영덕동)1695437.270706127.067595<NA>205798.576915418776.397921<NA>15000000500<NA>기타<NA><NA>
28용인시주식회사 대동상조이벤트20110321<NA><NA>운영중<NA><NA><NA><NA>경기도 용인시 처인구 금령로 75 (김량장동)경기도 용인시 처인구 김량장동 254번지 87호44902037.235306127.204672<NA><NA><NA><NA><NA><NA><NA><NA><NA>
29의정부시(주)롯데금융상조20110316<NA><NA>운영중<NA><NA><NA><NA>경기도 의정부시 호국로 1319 (의정부동)경기도 의정부시 의정부동 214번지 84호48084437.743965127.05077<NA><NA><NA><NA><NA><NA><NA><NA><NA>
30의정부시(주)우정라이프20110316<NA><NA>운영중<NA><NA><NA><NA>경기도 의정부시 시민로 31, 네오타워빌딩 14층 (의정부동)경기도 의정부시 의정부동 486-11번지 네오타워빌딩 14층1167337.738547127.038716<NA><NA><NA><NA><NA><NA><NA><NA><NA>
31의정부시(주)하늘가족20101221<NA><NA>운영중<NA><NA><NA><NA>경기도 의정부시 호국로 1310 (의정부동)경기도 의정부시 의정부동 186번지 8호48084337.743429127.049695<NA><NA><NA><NA><NA><NA><NA><NA><NA>
32하남시주식회사 제일상조20101005<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 하남시 춘궁동 303번지 2호465060<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>