Overview

Dataset statistics

Number of variables34
Number of observations658
Missing cells6417
Missing cells (%)28.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory187.8 KiB
Average record size in memory292.2 B

Variable types

Categorical12
Text5
DateTime4
Unsupported7
Numeric6

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),문화체육업종명,공사립구분명,보험가입여부코드,지도자수,건축물동수,건축물연면적,회원모집총인원,세부업종명,법인명
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-19651/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (98.4%)Imbalance
문화체육업종명 is highly imbalanced (61.8%)Imbalance
공사립구분명 is highly imbalanced (61.8%)Imbalance
폐업일자 has 105 (16.0%) missing valuesMissing
휴업시작일자 has 658 (100.0%) missing valuesMissing
휴업종료일자 has 658 (100.0%) missing valuesMissing
재개업일자 has 658 (100.0%) missing valuesMissing
전화번호 has 208 (31.6%) missing valuesMissing
소재지면적 has 658 (100.0%) missing valuesMissing
소재지우편번호 has 244 (37.1%) missing valuesMissing
도로명주소 has 59 (9.0%) missing valuesMissing
도로명우편번호 has 392 (59.6%) missing valuesMissing
업태구분명 has 658 (100.0%) missing valuesMissing
좌표정보(X) has 48 (7.3%) missing valuesMissing
좌표정보(Y) has 48 (7.3%) missing valuesMissing
건축물연면적 has 158 (24.0%) missing valuesMissing
회원모집총인원 has 549 (83.4%) missing valuesMissing
세부업종명 has 658 (100.0%) missing valuesMissing
법인명 has 658 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
세부업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
법인명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물연면적 has 298 (45.3%) zerosZeros
회원모집총인원 has 80 (12.2%) zerosZeros

Reproduction

Analysis started2024-05-11 07:06:03.744208
Analysis finished2024-05-11 07:06:04.602174
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
3240000
658 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 658
100.0%

Length

2024-05-11T16:06:04.677688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:06:04.785007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 658
100.0%

관리번호
Text

UNIQUE 

Distinct658
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-05-11T16:06:04.979597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters13160
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique658 ?
Unique (%)100.0%

Sample

1st rowCDFH3301081005000001
2nd rowCDFH3301081098000001
3rd rowCDFH3301081989000003
4th rowCDFH3301081989000004
5th rowCDFH3301081989000005
ValueCountFrequency (%)
cdfh3301081005000001 1
 
0.2%
cdfh3301082008000005 1
 
0.2%
cdfh3301082004000015 1
 
0.2%
cdfh3301082006000002 1
 
0.2%
cdfh3301082004000016 1
 
0.2%
cdfh3301082004000017 1
 
0.2%
cdfh3301082005000001 1
 
0.2%
cdfh3301082005000002 1
 
0.2%
cdfh3301082005000003 1
 
0.2%
cdfh3301082005000004 1
 
0.2%
Other values (648) 648
98.5%
2024-05-11T16:06:05.379963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4888
37.1%
3 1502
 
11.4%
1 1379
 
10.5%
8 850
 
6.5%
9 722
 
5.5%
C 658
 
5.0%
D 658
 
5.0%
F 658
 
5.0%
H 658
 
5.0%
2 646
 
4.9%
Other values (4) 541
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10528
80.0%
Uppercase Letter 2632
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4888
46.4%
3 1502
 
14.3%
1 1379
 
13.1%
8 850
 
8.1%
9 722
 
6.9%
2 646
 
6.1%
6 148
 
1.4%
4 145
 
1.4%
7 125
 
1.2%
5 123
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
C 658
25.0%
D 658
25.0%
F 658
25.0%
H 658
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10528
80.0%
Latin 2632
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4888
46.4%
3 1502
 
14.3%
1 1379
 
13.1%
8 850
 
8.1%
9 722
 
6.9%
2 646
 
6.1%
6 148
 
1.4%
4 145
 
1.4%
7 125
 
1.2%
5 123
 
1.2%
Latin
ValueCountFrequency (%)
C 658
25.0%
D 658
25.0%
F 658
25.0%
H 658
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4888
37.1%
3 1502
 
11.4%
1 1379
 
10.5%
8 850
 
6.5%
9 722
 
5.5%
C 658
 
5.0%
D 658
 
5.0%
F 658
 
5.0%
H 658
 
5.0%
2 646
 
4.9%
Other values (4) 541
 
4.1%

인허가일자
Date

Distinct533
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum1989-08-28 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T16:06:05.557164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:06:05.725505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
657 
20110919
 
1

Length

Max length8
Median length4
Mean length4.006079
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 657
99.8%
20110919 1
 
0.2%

Length

2024-05-11T16:06:05.881619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:06:06.011516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 657
99.8%
20110919 1
 
0.2%

영업상태코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
3
459 
1
102 
4
97 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 459
69.8%
1 102
 
15.5%
4 97
 
14.7%

Length

2024-05-11T16:06:06.140813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:06:06.258223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 459
69.8%
1 102
 
15.5%
4 97
 
14.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
폐업
459 
영업/정상
102 
취소/말소/만료/정지/중지
97 

Length

Max length14
Median length2
Mean length4.2340426
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 459
69.8%
영업/정상 102
 
15.5%
취소/말소/만료/정지/중지 97
 
14.7%

Length

2024-05-11T16:06:06.390869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:06:06.555798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 459
69.8%
영업/정상 102
 
15.5%
취소/말소/만료/정지/중지 97
 
14.7%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
3
459 
13
102 
35
96 
31
 
1

Length

Max length2
Median length1
Mean length1.3024316
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row35
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 459
69.8%
13 102
 
15.5%
35 96
 
14.6%
31 1
 
0.2%

Length

2024-05-11T16:06:06.687222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:06:06.805351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 459
69.8%
13 102
 
15.5%
35 96
 
14.6%
31 1
 
0.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
폐업
459 
영업중
102 
직권말소
96 
등록취소
 
1

Length

Max length4
Median length2
Mean length2.449848
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 459
69.8%
영업중 102
 
15.5%
직권말소 96
 
14.6%
등록취소 1
 
0.2%

Length

2024-05-11T16:06:06.962406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:06:07.081702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 459
69.8%
영업중 102
 
15.5%
직권말소 96
 
14.6%
등록취소 1
 
0.2%

폐업일자
Date

MISSING 

Distinct378
Distinct (%)68.4%
Missing105
Missing (%)16.0%
Memory size5.3 KiB
Minimum1997-05-30 00:00:00
Maximum2024-02-06 00:00:00
2024-05-11T16:06:07.208760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:06:07.347044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing658
Missing (%)100.0%
Memory size5.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing658
Missing (%)100.0%
Memory size5.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing658
Missing (%)100.0%
Memory size5.9 KiB

전화번호
Text

MISSING 

Distinct432
Distinct (%)96.0%
Missing208
Missing (%)31.6%
Memory size5.3 KiB
2024-05-11T16:06:07.674864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.28
Min length8

Characters and Unicode

Total characters3726
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

Unique414 ?
Unique (%)92.0%

Sample

1st row489-0504
2nd row480-9018
3rd row482-8753
4th row470-5863
5th row476-3606
ValueCountFrequency (%)
477-3868 2
 
0.4%
487-0090 2
 
0.4%
442-2560 2
 
0.4%
473-9559 2
 
0.4%
486-0729 2
 
0.4%
471-0428 2
 
0.4%
482-4277 2
 
0.4%
471-3243 2
 
0.4%
477-2352 2
 
0.4%
475-2803 2
 
0.4%
Other values (422) 430
95.6%
2024-05-11T16:06:08.163712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 675
18.1%
- 471
12.6%
7 402
10.8%
8 393
10.5%
2 330
8.9%
3 272
7.3%
0 271
7.3%
1 239
 
6.4%
6 234
 
6.3%
9 225
 
6.0%
Other values (2) 214
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3254
87.3%
Dash Punctuation 471
 
12.6%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 675
20.7%
7 402
12.4%
8 393
12.1%
2 330
10.1%
3 272
8.4%
0 271
8.3%
1 239
 
7.3%
6 234
 
7.2%
9 225
 
6.9%
5 213
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 471
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3726
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 675
18.1%
- 471
12.6%
7 402
10.8%
8 393
10.5%
2 330
8.9%
3 272
7.3%
0 271
7.3%
1 239
 
6.4%
6 234
 
6.3%
9 225
 
6.0%
Other values (2) 214
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3726
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 675
18.1%
- 471
12.6%
7 402
10.8%
8 393
10.5%
2 330
8.9%
3 272
7.3%
0 271
7.3%
1 239
 
6.4%
6 234
 
6.3%
9 225
 
6.0%
Other values (2) 214
 
5.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing658
Missing (%)100.0%
Memory size5.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)15.9%
Missing244
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean134816.59
Minimum134010
Maximum134903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T16:06:08.381459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum134010
5-th percentile134775
Q1134822
median134846
Q3134865.75
95-th percentile134890
Maximum134903
Range893
Interquartile range (IQR)43.75

Descriptive statistics

Standard deviation153.60956
Coefficient of variation (CV)0.0011393966
Kurtosis21.500284
Mean134816.59
Median Absolute Deviation (MAD)21
Skewness-4.748231
Sum55814070
Variance23595.898
MonotonicityNot monotonic
2024-05-11T16:06:08.526794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
134822 44
 
6.7%
134830 23
 
3.5%
134846 19
 
2.9%
134859 18
 
2.7%
134840 18
 
2.7%
134867 15
 
2.3%
134890 14
 
2.1%
134868 14
 
2.1%
134825 13
 
2.0%
134861 12
 
1.8%
Other values (56) 224
34.0%
(Missing) 244
37.1%
ValueCountFrequency (%)
134010 7
1.1%
134030 2
 
0.3%
134031 1
 
0.2%
134051 1
 
0.2%
134070 1
 
0.2%
134100 3
0.5%
134704 4
0.6%
134775 3
0.5%
134801 4
0.6%
134803 2
 
0.3%
ValueCountFrequency (%)
134903 5
 
0.8%
134896 6
0.9%
134890 14
2.1%
134888 2
 
0.3%
134885 1
 
0.2%
134884 5
 
0.8%
134877 11
1.7%
134874 9
1.4%
134872 2
 
0.3%
134871 5
 
0.8%

지번주소
Text

Distinct628
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-05-11T16:06:08.798526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length23.645897
Min length16

Characters and Unicode

Total characters15559
Distinct characters152
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique601 ?
Unique (%)91.3%

Sample

1st row서울특별시 강동구 길동 366-8
2nd row서울특별시 강동구 성내동 383번지
3rd row서울특별시 강동구 둔촌동 489-0번지
4th row서울특별시 강동구 성내동 516-13번지 지층
5th row서울특별시 강동구 암사동 496-18번지
ValueCountFrequency (%)
서울특별시 658
22.0%
강동구 658
22.0%
성내동 174
 
5.8%
천호동 150
 
5.0%
암사동 78
 
2.6%
2층 77
 
2.6%
둔촌동 75
 
2.5%
길동 71
 
2.4%
명일동 71
 
2.4%
지층 54
 
1.8%
Other values (670) 929
31.0%
2024-05-11T16:06:09.197342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2940
18.9%
동 1350
 
8.7%
강 666
 
4.3%
서 660
 
4.2%
시 660
 
4.2%
구 659
 
4.2%
별 658
 
4.2%
특 658
 
4.2%
울 658
 
4.2%
- 604
 
3.9%
Other values (142) 6046
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8963
57.6%
Decimal Number 3019
 
19.4%
Space Separator 2940
 
18.9%
Dash Punctuation 604
 
3.9%
Open Punctuation 10
 
0.1%
Close Punctuation 10
 
0.1%
Other Punctuation 6
 
< 0.1%
Uppercase Letter 5
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1350
15.1%
강 666
 
7.4%
서 660
 
7.4%
시 660
 
7.4%
구 659
 
7.4%
별 658
 
7.3%
특 658
 
7.3%
울 658
 
7.3%
지 589
 
6.6%
번 490
 
5.5%
Other values (121) 1915
21.4%
Decimal Number
ValueCountFrequency (%)
4 507
16.8%
3 480
15.9%
2 455
15.1%
1 454
15.0%
5 269
8.9%
0 212
7.0%
6 169
 
5.6%
8 167
 
5.5%
9 160
 
5.3%
7 146
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
W 1
20.0%
E 1
20.0%
A 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
. 1
 
16.7%
Space Separator
ValueCountFrequency (%)
2940
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 604
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8963
57.6%
Common 6591
42.4%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1350
15.1%
강 666
 
7.4%
서 660
 
7.4%
시 660
 
7.4%
구 659
 
7.4%
별 658
 
7.3%
특 658
 
7.3%
울 658
 
7.3%
지 589
 
6.6%
번 490
 
5.5%
Other values (121) 1915
21.4%
Common
ValueCountFrequency (%)
2940
44.6%
- 604
 
9.2%
4 507
 
7.7%
3 480
 
7.3%
2 455
 
6.9%
1 454
 
6.9%
5 269
 
4.1%
0 212
 
3.2%
6 169
 
2.6%
8 167
 
2.5%
Other values (7) 334
 
5.1%
Latin
ValueCountFrequency (%)
B 2
40.0%
W 1
20.0%
E 1
20.0%
A 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8963
57.6%
ASCII 6596
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2940
44.6%
- 604
 
9.2%
4 507
 
7.7%
3 480
 
7.3%
2 455
 
6.9%
1 454
 
6.9%
5 269
 
4.1%
0 212
 
3.2%
6 169
 
2.6%
8 167
 
2.5%
Other values (11) 339
 
5.1%
Hangul
ValueCountFrequency (%)
동 1350
15.1%
강 666
 
7.4%
서 660
 
7.4%
시 660
 
7.4%
구 659
 
7.4%
별 658
 
7.3%
특 658
 
7.3%
울 658
 
7.3%
지 589
 
6.6%
번 490
 
5.5%
Other values (121) 1915
21.4%

도로명주소
Text

MISSING 

Distinct579
Distinct (%)96.7%
Missing59
Missing (%)9.0%
Memory size5.3 KiB
2024-05-11T16:06:09.430481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length27.365609
Min length22

Characters and Unicode

Total characters16392
Distinct characters154
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique560 ?
Unique (%)93.5%

Sample

1st row서울특별시 강동구 양재대로116길 9 (길동)
2nd row서울특별시 강동구 천호대로170길 27 (성내동)
3rd row서울특별시 강동구 양재대로 1396 (둔촌동)
4th row서울특별시 강동구 풍성로 161 (성내동,지층)
5th row서울특별시 강동구 상암로 47 (암사동)
ValueCountFrequency (%)
서울특별시 599
19.1%
강동구 599
19.1%
천호동 112
 
3.6%
성내동 105
 
3.3%
양재대로 72
 
2.3%
구천면로 69
 
2.2%
암사동 57
 
1.8%
길동 52
 
1.7%
명일동 48
 
1.5%
올림픽로 43
 
1.4%
Other values (550) 1385
44.1%
2024-05-11T16:06:09.809731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2844
 
17.3%
동 1256
 
7.7%
구 696
 
4.2%
강 617
 
3.8%
) 610
 
3.7%
( 610
 
3.7%
시 601
 
3.7%
서 599
 
3.7%
울 599
 
3.7%
특 599
 
3.7%
Other values (144) 7361
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9650
58.9%
Space Separator 2844
 
17.3%
Decimal Number 2362
 
14.4%
Close Punctuation 610
 
3.7%
Open Punctuation 610
 
3.7%
Other Punctuation 287
 
1.8%
Dash Punctuation 22
 
0.1%
Uppercase Letter 5
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1256
 
13.0%
구 696
 
7.2%
강 617
 
6.4%
시 601
 
6.2%
서 599
 
6.2%
울 599
 
6.2%
특 599
 
6.2%
별 599
 
6.2%
로 573
 
5.9%
천 338
 
3.5%
Other values (125) 3173
32.9%
Decimal Number
ValueCountFrequency (%)
1 537
22.7%
3 318
13.5%
2 315
13.3%
4 208
 
8.8%
7 187
 
7.9%
5 182
 
7.7%
0 179
 
7.6%
8 156
 
6.6%
6 148
 
6.3%
9 132
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
W 1
 
20.0%
E 1
 
20.0%
Space Separator
ValueCountFrequency (%)
2844
100.0%
Close Punctuation
ValueCountFrequency (%)
) 610
100.0%
Open Punctuation
ValueCountFrequency (%)
( 610
100.0%
Other Punctuation
ValueCountFrequency (%)
, 287
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9650
58.9%
Common 6737
41.1%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1256
 
13.0%
구 696
 
7.2%
강 617
 
6.4%
시 601
 
6.2%
서 599
 
6.2%
울 599
 
6.2%
특 599
 
6.2%
별 599
 
6.2%
로 573
 
5.9%
천 338
 
3.5%
Other values (125) 3173
32.9%
Common
ValueCountFrequency (%)
2844
42.2%
) 610
 
9.1%
( 610
 
9.1%
1 537
 
8.0%
3 318
 
4.7%
2 315
 
4.7%
, 287
 
4.3%
4 208
 
3.1%
7 187
 
2.8%
5 182
 
2.7%
Other values (6) 639
 
9.5%
Latin
ValueCountFrequency (%)
B 3
60.0%
W 1
 
20.0%
E 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9650
58.9%
ASCII 6742
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2844
42.2%
) 610
 
9.0%
( 610
 
9.0%
1 537
 
8.0%
3 318
 
4.7%
2 315
 
4.7%
, 287
 
4.3%
4 208
 
3.1%
7 187
 
2.8%
5 182
 
2.7%
Other values (9) 644
 
9.6%
Hangul
ValueCountFrequency (%)
동 1256
 
13.0%
구 696
 
7.2%
강 617
 
6.4%
시 601
 
6.2%
서 599
 
6.2%
울 599
 
6.2%
특 599
 
6.2%
별 599
 
6.2%
로 573
 
5.9%
천 338
 
3.5%
Other values (125) 3173
32.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct103
Distinct (%)38.7%
Missing392
Missing (%)59.6%
Infinite0
Infinite (%)0.0%
Mean7755.6767
Minimum5211
Maximum134896
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T16:06:09.945643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5211
5-th percentile5229.5
Q15271
median5330
Q35371.25
95-th percentile5406
Maximum134896
Range129685
Interquartile range (IQR)100.25

Descriptive statistics

Standard deviation17604.13
Coefficient of variation (CV)2.269838
Kurtosis49.161332
Mean7755.6767
Median Absolute Deviation (MAD)48
Skewness7.1267692
Sum2063010
Variance3.0990538 × 108
MonotonicityNot monotonic
2024-05-11T16:06:10.086470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5353 8
 
1.2%
5405 8
 
1.2%
5296 8
 
1.2%
5222 7
 
1.1%
5269 7
 
1.1%
5326 7
 
1.1%
5355 7
 
1.1%
5350 5
 
0.8%
5408 5
 
0.8%
5356 5
 
0.8%
Other values (93) 199
30.2%
(Missing) 392
59.6%
ValueCountFrequency (%)
5211 3
0.5%
5222 7
1.1%
5226 1
 
0.2%
5227 3
0.5%
5237 2
 
0.3%
5239 1
 
0.2%
5241 4
0.6%
5242 2
 
0.3%
5245 2
 
0.3%
5246 3
0.5%
ValueCountFrequency (%)
134896 1
 
0.2%
134890 1
 
0.2%
134856 1
 
0.2%
134849 1
 
0.2%
134031 1
 
0.2%
5408 5
0.8%
5407 3
 
0.5%
5406 2
 
0.3%
5405 8
1.2%
5404 5
0.8%

사업장명
Text

Distinct496
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-05-11T16:06:10.344308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length5.1094225
Min length1

Characters and Unicode

Total characters3362
Distinct characters346
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique410 ?
Unique (%)62.3%

Sample

1st row현대
2nd row진영당구장
3rd row영
4th row왕당구장
5th row미인당구장
ValueCountFrequency (%)
당구장 39
 
5.4%
당구클럽 12
 
1.7%
킹당구장 8
 
1.1%
스포츠당구장 8
 
1.1%
로얄당구장 7
 
1.0%
프로당구장 7
 
1.0%
포커스당구장 7
 
1.0%
큐당구장 6
 
0.8%
sbs당구장 6
 
0.8%
24시당구장 5
 
0.7%
Other values (490) 620
85.5%
2024-05-11T16:06:10.772721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 537
 
16.0%
당 532
 
15.8%
장 462
 
13.7%
스 79
 
2.3%
럽 77
 
2.3%
클 75
 
2.2%
67
 
2.0%
이 38
 
1.1%
성 36
 
1.1%
포 31
 
0.9%
Other values (336) 1428
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3128
93.0%
Uppercase Letter 86
 
2.6%
Space Separator 67
 
2.0%
Decimal Number 42
 
1.2%
Lowercase Letter 23
 
0.7%
Other Punctuation 11
 
0.3%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 537
17.2%
당 532
17.0%
장 462
 
14.8%
스 79
 
2.5%
럽 77
 
2.5%
클 75
 
2.4%
이 38
 
1.2%
성 36
 
1.2%
포 31
 
1.0%
일 30
 
1.0%
Other values (292) 1231
39.4%
Uppercase Letter
ValueCountFrequency (%)
S 20
23.3%
B 13
15.1%
P 8
 
9.3%
J 7
 
8.1%
K 5
 
5.8%
C 5
 
5.8%
M 4
 
4.7%
V 3
 
3.5%
I 3
 
3.5%
A 2
 
2.3%
Other values (11) 16
18.6%
Lowercase Letter
ValueCountFrequency (%)
b 4
17.4%
s 4
17.4%
l 4
17.4%
c 2
8.7%
o 2
8.7%
r 2
8.7%
i 2
8.7%
d 1
 
4.3%
u 1
 
4.3%
a 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
2 16
38.1%
0 11
26.2%
4 5
 
11.9%
3 3
 
7.1%
5 3
 
7.1%
7 2
 
4.8%
1 2
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 10
90.9%
& 1
 
9.1%
Space Separator
ValueCountFrequency (%)
67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3128
93.0%
Common 125
 
3.7%
Latin 109
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 537
17.2%
당 532
17.0%
장 462
 
14.8%
스 79
 
2.5%
럽 77
 
2.5%
클 75
 
2.4%
이 38
 
1.2%
성 36
 
1.2%
포 31
 
1.0%
일 30
 
1.0%
Other values (292) 1231
39.4%
Latin
ValueCountFrequency (%)
S 20
18.3%
B 13
 
11.9%
P 8
 
7.3%
J 7
 
6.4%
K 5
 
4.6%
C 5
 
4.6%
b 4
 
3.7%
s 4
 
3.7%
l 4
 
3.7%
M 4
 
3.7%
Other values (21) 35
32.1%
Common
ValueCountFrequency (%)
67
53.6%
2 16
 
12.8%
0 11
 
8.8%
. 10
 
8.0%
4 5
 
4.0%
3 3
 
2.4%
5 3
 
2.4%
7 2
 
1.6%
) 2
 
1.6%
( 2
 
1.6%
Other values (3) 4
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3128
93.0%
ASCII 234
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 537
17.2%
당 532
17.0%
장 462
 
14.8%
스 79
 
2.5%
럽 77
 
2.5%
클 75
 
2.4%
이 38
 
1.2%
성 36
 
1.2%
포 31
 
1.0%
일 30
 
1.0%
Other values (292) 1231
39.4%
ASCII
ValueCountFrequency (%)
67
28.6%
S 20
 
8.5%
2 16
 
6.8%
B 13
 
5.6%
0 11
 
4.7%
. 10
 
4.3%
P 8
 
3.4%
J 7
 
3.0%
K 5
 
2.1%
4 5
 
2.1%
Other values (34) 72
30.8%

최종수정일자
Date

Distinct436
Distinct (%)66.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum2003-04-11 10:24:39
Maximum2024-05-08 13:54:38
2024-05-11T16:06:10.944733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:06:11.081506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
I
449 
U
209 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 449
68.2%
U 209
31.8%

Length

2024-05-11T16:06:11.213583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:06:11.313220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 449
68.2%
u 209
31.8%

데이터갱신일자
Date

Distinct130
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:01:00
2024-05-11T16:06:11.432513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:06:11.592968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing658
Missing (%)100.0%
Memory size5.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct472
Distinct (%)77.4%
Missing48
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean212041.35
Minimum210636.45
Maximum215641.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T16:06:11.743170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210636.45
5-th percentile210853.94
Q1211303.61
median211832.12
Q3212518.63
95-th percentile214556.15
Maximum215641.49
Range5005.0474
Interquartile range (IQR)1215.0232

Descriptive statistics

Standard deviation1005.7876
Coefficient of variation (CV)0.0047433562
Kurtosis2.0326784
Mean212041.35
Median Absolute Deviation (MAD)601.28027
Skewness1.3884603
Sum1.2934522 × 108
Variance1011608.8
MonotonicityNot monotonic
2024-05-11T16:06:12.178208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211552.085729225 5
 
0.8%
211912.282694478 5
 
0.8%
210864.646451492 4
 
0.6%
211864.387505252 4
 
0.6%
212704.305331107 4
 
0.6%
211721.327526749 3
 
0.5%
211074.012791462 3
 
0.5%
211599.885156417 3
 
0.5%
211311.154031221 3
 
0.5%
211204.545526071 3
 
0.5%
Other values (462) 573
87.1%
(Missing) 48
 
7.3%
ValueCountFrequency (%)
210636.447352415 1
0.2%
210641.175203495 1
0.2%
210653.984224778 1
0.2%
210677.372118736 1
0.2%
210688.336475039 1
0.2%
210721.262679123 1
0.2%
210728.465020289 1
0.2%
210740.312223639 1
0.2%
210760.383783042 1
0.2%
210764.983303915 1
0.2%
ValueCountFrequency (%)
215641.494731111 1
0.2%
215426.028109 1
0.2%
215289.815449411 1
0.2%
215257.067935 1
0.2%
215214.453823181 1
0.2%
215205.312340831 1
0.2%
215188.912927145 2
0.3%
215180.740928833 2
0.3%
215162.624131128 1
0.2%
215107.512414492 2
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct472
Distinct (%)77.4%
Missing48
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean448742.22
Minimum446680.3
Maximum452096.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T16:06:12.339950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446680.3
5-th percentile447010.53
Q1447892.92
median448735.49
Q3449668.88
95-th percentile450262.76
Maximum452096.8
Range5416.4978
Interquartile range (IQR)1775.9683

Descriptive statistics

Standard deviation1074.9582
Coefficient of variation (CV)0.0023954916
Kurtosis-0.75268198
Mean448742.22
Median Absolute Deviation (MAD)912.4969
Skewness0.061116329
Sum2.7373275 × 108
Variance1155535.1
MonotonicityNot monotonic
2024-05-11T16:06:12.498764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448928.788210003 5
 
0.8%
447248.126116539 5
 
0.8%
448958.265095332 4
 
0.6%
449651.627100483 4
 
0.6%
449338.461777509 4
 
0.6%
447282.745525327 3
 
0.5%
448304.283535008 3
 
0.5%
447825.982067471 3
 
0.5%
449916.218363103 3
 
0.5%
448175.827432641 3
 
0.5%
Other values (462) 573
87.1%
(Missing) 48
 
7.3%
ValueCountFrequency (%)
446680.303498539 1
0.2%
446699.196101461 1
0.2%
446702.384306431 2
0.3%
446748.493341691 2
0.3%
446777.558590088 1
0.2%
446778.592045172 1
0.2%
446806.07570029 1
0.2%
446810.814080816 1
0.2%
446824.955578969 2
0.3%
446840.380598728 2
0.3%
ValueCountFrequency (%)
452096.801259 1
0.2%
451747.753488527 1
0.2%
451728.460795 1
0.2%
451519.404046335 1
0.2%
451047.138222401 1
0.2%
451036.449236248 1
0.2%
450922.501600974 1
0.2%
450918.741257507 1
0.2%
450916.226783841 1
0.2%
450915.612786573 1
0.2%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
당구장업
609 
<NA>
 
49

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당구장업 609
92.6%
<NA> 49
 
7.4%

Length

2024-05-11T16:06:12.653409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:06:12.797065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 609
92.6%
na 49
 
7.4%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
사립
609 
<NA>
 
49

Length

Max length4
Median length2
Mean length2.1489362
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 609
92.6%
<NA> 49
 
7.4%

Length

2024-05-11T16:06:13.003060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:06:13.188648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 609
92.6%
na 49
 
7.4%

보험가입여부코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
569 
0
89 

Length

Max length4
Median length4
Mean length3.5942249
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 569
86.5%
0 89
 
13.5%

Length

2024-05-11T16:06:13.344536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:06:13.479821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 569
86.5%
0 89
 
13.5%

지도자수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
351 
0
307 

Length

Max length4
Median length4
Mean length2.600304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 351
53.3%
0 307
46.7%

Length

2024-05-11T16:06:13.612433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:06:13.748936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 351
53.3%
0 307
46.7%

건축물동수
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
0
308 
<NA>
204 
1
145 
2
 
1

Length

Max length4
Median length1
Mean length1.9300912
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 308
46.8%
<NA> 204
31.0%
1 145
22.0%
2 1
 
0.2%

Length

2024-05-11T16:06:13.877915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:06:14.009598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 308
46.8%
na 204
31.0%
1 145
22.0%
2 1
 
0.2%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct191
Distinct (%)38.2%
Missing158
Missing (%)24.0%
Infinite0
Infinite (%)0.0%
Mean1006.385
Minimum0
Maximum42514
Zeros298
Zeros (%)45.3%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T16:06:14.163738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3955.5
95-th percentile3938.521
Maximum42514
Range42514
Interquartile range (IQR)955.5

Descriptive statistics

Standard deviation3130.3036
Coefficient of variation (CV)3.1104435
Kurtosis81.742501
Mean1006.385
Median Absolute Deviation (MAD)0
Skewness7.9037602
Sum503192.49
Variance9798800.8
MonotonicityNot monotonic
2024-05-11T16:06:14.321805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 298
45.3%
635.31 2
 
0.3%
1322.0 2
 
0.3%
494.96 2
 
0.3%
654.0 2
 
0.3%
996.0 2
 
0.3%
565.0 2
 
0.3%
1797.0 2
 
0.3%
7586.0 2
 
0.3%
489.0 2
 
0.3%
Other values (181) 184
28.0%
(Missing) 158
24.0%
ValueCountFrequency (%)
0.0 298
45.3%
219.65 1
 
0.2%
225.94 1
 
0.2%
347.79 1
 
0.2%
351.0 1
 
0.2%
421.45 1
 
0.2%
423.0 1
 
0.2%
446.77 1
 
0.2%
453.0 1
 
0.2%
461.0 1
 
0.2%
ValueCountFrequency (%)
42514.0 1
0.2%
28240.0 1
0.2%
22759.0 1
0.2%
20582.74 1
0.2%
15437.0 1
0.2%
14542.0 1
0.2%
11921.16 1
0.2%
10330.0 1
0.2%
9690.0 1
0.2%
9427.36 1
0.2%

회원모집총인원
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)7.3%
Missing549
Missing (%)83.4%
Infinite0
Infinite (%)0.0%
Mean10.550459
Minimum0
Maximum100
Zeros80
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T16:06:14.458283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q315
95-th percentile50
Maximum100
Range100
Interquartile range (IQR)15

Descriptive statistics

Standard deviation21.509467
Coefficient of variation (CV)2.0387234
Kurtosis6.6925195
Mean10.550459
Median Absolute Deviation (MAD)0
Skewness2.4929968
Sum1150
Variance462.65715
MonotonicityNot monotonic
2024-05-11T16:06:14.578559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 80
 
12.2%
50 7
 
1.1%
20 6
 
0.9%
30 5
 
0.8%
40 4
 
0.6%
15 3
 
0.5%
100 3
 
0.5%
25 1
 
0.2%
(Missing) 549
83.4%
ValueCountFrequency (%)
0 80
12.2%
15 3
 
0.5%
20 6
 
0.9%
25 1
 
0.2%
30 5
 
0.8%
40 4
 
0.6%
50 7
 
1.1%
100 3
 
0.5%
ValueCountFrequency (%)
100 3
 
0.5%
50 7
 
1.1%
40 4
 
0.6%
30 5
 
0.8%
25 1
 
0.2%
20 6
 
0.9%
15 3
 
0.5%
0 80
12.2%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing658
Missing (%)100.0%
Memory size5.9 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing658
Missing (%)100.0%
Memory size5.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03240000CDFH330108100500000120050302<NA>4취소/말소/만료/정지/중지35직권말소20211215<NA><NA><NA>489-0504<NA><NA>서울특별시 강동구 길동 366-8서울특별시 강동구 양재대로116길 9 (길동)5343현대2021-12-15 16:43:00U2021-12-17 02:40:00.0<NA>212394.393189448506.577876당구장업사립<NA>000.00<NA><NA>
13240000CDFH330108109800000119981202<NA>3폐업3폐업20170705<NA><NA><NA>480-9018<NA><NA>서울특별시 강동구 성내동 383번지서울특별시 강동구 천호대로170길 27 (성내동)5381진영당구장2018-03-02 11:14:03I2018-08-31 23:59:59.0<NA>211693.971692447986.441902당구장업사립<NA><NA>11506.0<NA><NA><NA>
23240000CDFH330108198900000319890828<NA>3폐업3폐업20000503<NA><NA><NA>482-8753<NA>134822서울특별시 강동구 둔촌동 489-0번지서울특별시 강동구 양재대로 1396 (둔촌동)<NA>영2003-04-11 10:24:39I2018-08-31 23:59:59.0<NA>212114.433404447600.696371당구장업사립<NA>000.0<NA><NA><NA>
33240000CDFH330108198900000419890905<NA>3폐업3폐업19991002<NA><NA><NA>470-5863<NA>134849서울특별시 강동구 성내동 516-13번지 지층서울특별시 강동구 풍성로 161 (성내동,지층)<NA>왕당구장2003-04-11 10:24:39I2018-08-31 23:59:59.0<NA>211421.510721447626.475022당구장업사립<NA>000.0<NA><NA><NA>
43240000CDFH330108198900000519890905<NA>3폐업3폐업20060727<NA><NA><NA><NA><NA>134859서울특별시 강동구 암사동 496-18번지서울특별시 강동구 상암로 47 (암사동)<NA>미인당구장2006-07-27 16:27:18I2018-08-31 23:59:59.0<NA>211312.527191449728.213491당구장업사립0<NA><NA><NA><NA><NA><NA>
53240000CDFH330108198900000619891005<NA>3폐업3폐업20070330<NA><NA><NA><NA><NA>134830서울특별시 강동구 명일동 328-1번지 2층서울특별시 강동구 구천면로 434 (명일동,2층)<NA>그린당구장2007-03-30 18:16:16I2018-08-31 23:59:59.0<NA>212883.771966449739.237647당구장업사립0<NA><NA><NA><NA><NA><NA>
63240000CDFH330108198900000819891020<NA>3폐업3폐업20070905<NA><NA><NA>476-3606<NA>134869서울특별시 강동구 천호동 357-12번지서울특별시 강동구 올림픽로 686 (천호동)<NA>한양당구장2007-09-05 12:48:17I2018-08-31 23:59:59.0<NA>210986.405957448919.226364당구장업사립0<NA><NA><NA><NA><NA><NA>
73240000CDFH330108198900000919891021<NA>3폐업3폐업19990323<NA><NA><NA><NA><NA>134866서울특별시 강동구 천호동 233-143번지서울특별시 강동구 구천면로 324 (천호동)<NA>평화2003-04-11 10:24:39I2018-08-31 23:59:59.0<NA>211928.991552449556.64407당구장업사립<NA>000.0<NA><NA><NA>
83240000CDFH330108198900001019891021<NA>3폐업3폐업20040304<NA><NA><NA>485-8469<NA>134884서울특별시 강동구 성내동 434-12번지 지층서울특별시 강동구 성안로 43 (성내동,지층)<NA>올림픽당구장2004-03-04 17:55:46I2018-08-31 23:59:59.0<NA>211460.409539447280.12041당구장업사립0<NA><NA><NA><NA><NA><NA>
93240000CDFH330108198900001119891116<NA>3폐업3폐업19980709<NA><NA><NA>471-9645<NA>134822서울특별시 강동구 둔촌동 412-15번지 3층<NA><NA>25시당구장2003-04-11 10:24:39I2018-08-31 23:59:59.0<NA><NA><NA>당구장업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
6483240000CDFH330108202200000220220620<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 명일동 350-4서울특별시 강동구 양재대로128길 47, 지하1층 (명일동)5296OK 당구장2022-06-20 13:15:29I2021-12-05 22:02:00.0<NA>212785.236301449150.358975<NA><NA><NA><NA><NA><NA><NA><NA><NA>
6493240000CDFH330108202200000320220630<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 504-37서울특별시 강동구 올림픽로 807, 3층 (암사동)5241암사캐롬클럽2022-06-30 10:22:30I2021-12-07 00:02:00.0<NA>211268.74152450103.14808<NA><NA><NA><NA><NA><NA><NA><NA><NA>
6503240000CDFH330108202200000420220803<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 둔촌동 607-1 길산빌딩서울특별시 강동구 천호대로 1216, 길산빌딩 (둔촌동)5360쭈당구장2022-08-03 18:23:11I2021-12-08 00:05:00.0<NA>212863.644691448120.72848<NA><NA><NA><NA><NA><NA><NA><NA><NA>
6513240000CDFH330108202200000520221115<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 501-21서울특별시 강동구 천호대로170길 66, B1층 (성내동)5389서울당구클럽2022-11-15 09:48:46I2021-10-31 23:07:00.0<NA>211599.885156447825.982067<NA><NA><NA><NA><NA><NA><NA><NA><NA>
6523240000CDFH330108202200000620221116<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 명일동 346-6서울특별시 강동구 상암로 200, 2층 (명일동)5296놀이터 당구장2022-11-16 11:03:26I2021-10-31 23:08:00.0<NA>212704.305331449338.461778<NA><NA><NA><NA><NA><NA><NA><NA><NA>
6533240000CDFH33010820230000012023-10-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 166-81 아기천국어린이집 지층서울특별시 강동구 진황도로27길 9, 아기천국어린이집 지층 (천호동)5333엔디빌리어드클럽2023-10-10 16:26:46I2022-10-30 23:02:00.0<NA>211559.376783448518.955576<NA><NA><NA><NA><NA><NA><NA><NA><NA>
6543240000CDFH33010820240000012024-02-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 446-24 WE7(위세븐) 201호서울특별시 강동구 성안로 10, WE7(위세븐) 201호 (성내동)5407플러스1 billiard club2024-02-01 10:40:06I2023-12-02 00:03:00.0<NA>211378.804039446959.937591<NA><NA><NA><NA><NA><NA><NA><NA><NA>
6553240000CDFH33010820240000022024-02-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 둔촌동 61-14 한스빌딩 2층서울특별시 강동구 천호대로188길 14, 한스빌딩 2층 (둔촌동)5361수전당구장2024-02-08 11:24:00I2023-12-01 23:01:00.0<NA>212579.399913447917.406353<NA><NA><NA><NA><NA><NA><NA><NA><NA>
6563240000CDFH33010820240000032024-03-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 400-1서울특별시 강동구 천호대로187길 62, 아름상가 2층 201호 (길동)5350모즈리 당구클럽2024-03-27 12:55:59I2023-12-02 22:09:00.0<NA>212589.271821448309.85989<NA><NA><NA><NA><NA><NA><NA><NA><NA>
6573240000CDFH33010820240000042024-05-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 고덕동 637-1서울특별시 강동구 아리수로64길 40, 지하 1층 (고덕동)5227K당구장2024-05-08 13:54:38I2023-12-04 23:00:00.0<NA>213521.648041450909.703991<NA><NA><NA><NA><NA><NA><NA><NA><NA>