Overview

Dataset statistics

Number of variables37
Number of observations1572
Missing cells16259
Missing cells (%)28.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory479.1 KiB
Average record size in memory312.1 B

Variable types

Numeric5
Categorical13
Text7
DateTime6
Unsupported6

Dataset

Description23년06월_6270000_대구광역시_10_32_01_P_당구장업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098595&dataSetDetailId=DDI_0000098612&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
공사립구분명 has constant value ""Constant
지도자수 is highly imbalanced (73.8%)Imbalance
회원모집총인원 is highly imbalanced (59.3%)Imbalance
인허가취소일자 has 1572 (100.0%) missing valuesMissing
폐업일자 has 439 (27.9%) missing valuesMissing
휴업시작일자 has 1569 (99.8%) missing valuesMissing
휴업종료일자 has 1569 (99.8%) missing valuesMissing
재개업일자 has 1572 (100.0%) missing valuesMissing
소재지전화 has 685 (43.6%) missing valuesMissing
소재지면적 has 1572 (100.0%) missing valuesMissing
소재지우편번호 has 527 (33.5%) missing valuesMissing
소재지전체주소 has 52 (3.3%) missing valuesMissing
도로명전체주소 has 57 (3.6%) missing valuesMissing
도로명우편번호 has 822 (52.3%) missing valuesMissing
업태구분명 has 1572 (100.0%) missing valuesMissing
좌표정보(X) has 20 (1.3%) missing valuesMissing
좌표정보(Y) has 20 (1.3%) missing valuesMissing
건축물연면적 has 1067 (67.9%) missing valuesMissing
세부업종명 has 1572 (100.0%) missing valuesMissing
법인명 has 1572 (100.0%) missing valuesMissing
건축물연면적 is highly skewed (γ1 = 21.91053462)Skewed
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 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 92 (5.9%) zerosZeros

Reproduction

Analysis started2023-08-15 06:22:26.031062
Analysis finished2023-08-15 06:22:27.967263
Duration1.94 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1572
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean786.5
Minimum1
Maximum1572
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-08-15T15:22:28.139222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile79.55
Q1393.75
median786.5
Q31179.25
95-th percentile1493.45
Maximum1572
Range1571
Interquartile range (IQR)785.5

Descriptive statistics

Standard deviation453.94163
Coefficient of variation (CV)0.57716672
Kurtosis-1.2
Mean786.5
Median Absolute Deviation (MAD)393
Skewness0
Sum1236378
Variance206063
MonotonicityStrictly increasing
2023-08-15T15:22:28.524594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1058 1
 
0.1%
1056 1
 
0.1%
1055 1
 
0.1%
1054 1
 
0.1%
1053 1
 
0.1%
1052 1
 
0.1%
1051 1
 
0.1%
1050 1
 
0.1%
1049 1
 
0.1%
Other values (1562) 1562
99.4%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1572 1
0.1%
1571 1
0.1%
1570 1
0.1%
1569 1
0.1%
1568 1
0.1%
1567 1
0.1%
1566 1
0.1%
1565 1
0.1%
1564 1
0.1%
1563 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
당구장업
1572 

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 1572
100.0%

Length

2023-08-15T15:22:28.821899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T15:22:29.136945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 1572
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
10_32_01_P
1572 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10_32_01_P
2nd row10_32_01_P
3rd row10_32_01_P
4th row10_32_01_P
5th row10_32_01_P

Common Values

ValueCountFrequency (%)
10_32_01_P 1572
100.0%

Length

2023-08-15T15:22:29.313514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T15:22:29.478621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_32_01_p 1572
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3449936.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-08-15T15:22:29.621933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3415500
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation20536.931
Coefficient of variation (CV)0.0059528433
Kurtosis-1.0371038
Mean3449936.4
Median Absolute Deviation (MAD)20000
Skewness-0.41305484
Sum5.4233 × 109
Variance4.2176552 × 108
MonotonicityIncreasing
2023-08-15T15:22:29.826598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 413
26.3%
3450000 312
19.8%
3420000 213
13.5%
3460000 200
12.7%
3430000 138
 
8.8%
3440000 114
 
7.3%
3480000 103
 
6.6%
3410000 79
 
5.0%
ValueCountFrequency (%)
3410000 79
 
5.0%
3420000 213
13.5%
3430000 138
 
8.8%
3440000 114
 
7.3%
3450000 312
19.8%
3460000 200
12.7%
3470000 413
26.3%
3480000 103
 
6.6%
ValueCountFrequency (%)
3480000 103
 
6.6%
3470000 413
26.3%
3460000 200
12.7%
3450000 312
19.8%
3440000 114
 
7.3%
3430000 138
 
8.8%
3420000 213
13.5%
3410000 79
 
5.0%
Distinct498
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
2023-08-15T15:22:30.215505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters31440
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

Unique167 ?
Unique (%)10.6%

Sample

1st rowCDFH3301082014000001
2nd rowCDFH3301082015000001
3rd rowCDFH3301082019000001
4th rowCDFH3301082021000002
5th rowCDFH3301082018000002
ValueCountFrequency (%)
cdfh3301082008000002 8
 
0.5%
cdfh3301082004000001 8
 
0.5%
cdfh3301082007000005 8
 
0.5%
cdfh3301082008000005 8
 
0.5%
cdfh3301082008000006 8
 
0.5%
cdfh3301082008000009 8
 
0.5%
cdfh3301082008000010 8
 
0.5%
cdfh3301082009000004 8
 
0.5%
cdfh3301082008000004 8
 
0.5%
cdfh3301082008000007 8
 
0.5%
Other values (488) 1492
94.9%
2023-08-15T15:22:31.163224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12959
41.2%
3 3551
 
11.3%
1 2906
 
9.2%
2 1959
 
6.2%
8 1945
 
6.2%
C 1572
 
5.0%
D 1572
 
5.0%
F 1572
 
5.0%
H 1572
 
5.0%
9 565
 
1.8%
Other values (4) 1267
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25152
80.0%
Uppercase Letter 6288
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12959
51.5%
3 3551
 
14.1%
1 2906
 
11.6%
2 1959
 
7.8%
8 1945
 
7.7%
9 565
 
2.2%
7 394
 
1.6%
6 324
 
1.3%
4 289
 
1.1%
5 260
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 1572
25.0%
D 1572
25.0%
F 1572
25.0%
H 1572
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25152
80.0%
Latin 6288
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12959
51.5%
3 3551
 
14.1%
1 2906
 
11.6%
2 1959
 
7.8%
8 1945
 
7.7%
9 565
 
2.2%
7 394
 
1.6%
6 324
 
1.3%
4 289
 
1.1%
5 260
 
1.0%
Latin
ValueCountFrequency (%)
C 1572
25.0%
D 1572
25.0%
F 1572
25.0%
H 1572
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12959
41.2%
3 3551
 
11.3%
1 2906
 
9.2%
2 1959
 
6.2%
8 1945
 
6.2%
C 1572
 
5.0%
D 1572
 
5.0%
F 1572
 
5.0%
H 1572
 
5.0%
9 565
 
1.8%
Other values (4) 1267
 
4.0%
Distinct1287
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
Minimum1981-01-08 00:00:00
Maximum2023-05-02 00:00:00
2023-08-15T15:22:31.544779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-15T15:22:31.910411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1572
Missing (%)100.0%
Memory size13.9 KiB
Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
3
1006 
1
431 
4
132 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 1006
64.0%
1 431
27.4%
4 132
 
8.4%
2 3
 
0.2%

Length

2023-08-15T15:22:32.318706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T15:22:32.537940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1006
64.0%
1 431
27.4%
4 132
 
8.4%
2 3
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
폐업
1006 
영업/정상
431 
취소/말소/만료/정지/중지
132 
휴업
 
3

Length

Max length14
Median length2
Mean length3.8301527
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
폐업 1006
64.0%
영업/정상 431
27.4%
취소/말소/만료/정지/중지 132
 
8.4%
휴업 3
 
0.2%

Length

2023-08-15T15:22:32.865839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T15:22:33.086435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1006
64.0%
영업/정상 431
27.4%
취소/말소/만료/정지/중지 132
 
8.4%
휴업 3
 
0.2%
Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
3
1005 
13
431 
35
132 
2
 
3
34
 
1

Length

Max length2
Median length1
Mean length1.3587786
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
3 1005
63.9%
13 431
27.4%
35 132
 
8.4%
2 3
 
0.2%
34 1
 
0.1%

Length

2023-08-15T15:22:33.404255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T15:22:34.096416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1005
63.9%
13 431
27.4%
35 132
 
8.4%
2 3
 
0.2%
34 1
 
0.1%
Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
폐업
1005 
영업중
431 
직권말소
132 
휴업
 
3
영업장폐쇄
 
1

Length

Max length5
Median length2
Mean length2.4440204
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1005
63.9%
영업중 431
27.4%
직권말소 132
 
8.4%
휴업 3
 
0.2%
영업장폐쇄 1
 
0.1%

Length

2023-08-15T15:22:34.424699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T15:22:34.623418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1005
63.9%
영업중 431
27.4%
직권말소 132
 
8.4%
휴업 3
 
0.2%
영업장폐쇄 1
 
0.1%

폐업일자
Date

MISSING 

Distinct865
Distinct (%)76.3%
Missing439
Missing (%)27.9%
Memory size12.4 KiB
Minimum1997-03-07 00:00:00
Maximum2023-06-29 00:00:00
2023-08-15T15:22:34.865016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-15T15:22:35.125829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing1569
Missing (%)99.8%
Memory size12.4 KiB
Minimum2009-02-26 00:00:00
Maximum2021-07-01 00:00:00
2023-08-15T15:22:35.332669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-15T15:22:35.608545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

휴업종료일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing1569
Missing (%)99.8%
Memory size12.4 KiB
Minimum2009-05-25 00:00:00
Maximum2024-12-31 00:00:00
2023-08-15T15:22:35.803173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-15T15:22:36.004800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1572
Missing (%)100.0%
Memory size13.9 KiB

소재지전화
Text

MISSING 

Distinct863
Distinct (%)97.3%
Missing685
Missing (%)43.6%
Memory size12.4 KiB
2023-08-15T15:22:36.501932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.7655017
Min length7

Characters and Unicode

Total characters8662
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique841 ?
Unique (%)94.8%

Sample

1st row070-4045-0991
2nd row0532570006
3rd row422-2623
4th row427-6030
5th row257-8685
ValueCountFrequency (%)
382-3975 3
 
0.3%
053-761-0504 3
 
0.3%
957-8985 2
 
0.2%
624-7891 2
 
0.2%
323-5427 2
 
0.2%
053-644-4439 2
 
0.2%
053-582-0822 2
 
0.2%
426-6403 2
 
0.2%
357-2235 2
 
0.2%
323-1979 2
 
0.2%
Other values (853) 865
97.5%
2023-08-15T15:22:37.305332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1243
14.4%
5 1217
14.0%
3 1048
12.1%
0 864
10.0%
9 685
7.9%
2 678
7.8%
6 641
7.4%
7 621
7.2%
8 581
6.7%
1 549
6.3%
Other values (3) 535
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7412
85.6%
Dash Punctuation 1243
 
14.4%
Close Punctuation 6
 
0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1217
16.4%
3 1048
14.1%
0 864
11.7%
9 685
9.2%
2 678
9.1%
6 641
8.6%
7 621
8.4%
8 581
7.8%
1 549
7.4%
4 528
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 1243
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8662
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1243
14.4%
5 1217
14.0%
3 1048
12.1%
0 864
10.0%
9 685
7.9%
2 678
7.8%
6 641
7.4%
7 621
7.2%
8 581
6.7%
1 549
6.3%
Other values (3) 535
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8662
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1243
14.4%
5 1217
14.0%
3 1048
12.1%
0 864
10.0%
9 685
7.9%
2 678
7.8%
6 641
7.4%
7 621
7.2%
8 581
6.7%
1 549
6.3%
Other values (3) 535
6.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1572
Missing (%)100.0%
Memory size13.9 KiB

소재지우편번호
Text

MISSING 

Distinct345
Distinct (%)33.0%
Missing527
Missing (%)33.5%
Memory size12.4 KiB
2023-08-15T15:22:37.965586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7315
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

Unique132 ?
Unique (%)12.6%

Sample

1st row700-835
2nd row700-847
3rd row700-111
4th row700-413
5th row700-060
ValueCountFrequency (%)
704-940 24
 
2.3%
704-921 20
 
1.9%
705-816 18
 
1.7%
704-922 16
 
1.5%
700-411 15
 
1.4%
704-947 11
 
1.1%
704-946 11
 
1.1%
702-886 11
 
1.1%
702-842 10
 
1.0%
711-852 10
 
1.0%
Other values (335) 899
86.0%
2023-08-15T15:22:38.788329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1440
19.7%
7 1147
15.7%
- 1045
14.3%
8 820
11.2%
4 621
8.5%
2 559
 
7.6%
1 559
 
7.6%
3 355
 
4.9%
9 304
 
4.2%
6 256
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6270
85.7%
Dash Punctuation 1045
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1440
23.0%
7 1147
18.3%
8 820
13.1%
4 621
9.9%
2 559
 
8.9%
1 559
 
8.9%
3 355
 
5.7%
9 304
 
4.8%
6 256
 
4.1%
5 209
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 1045
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7315
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1440
19.7%
7 1147
15.7%
- 1045
14.3%
8 820
11.2%
4 621
8.5%
2 559
 
7.6%
1 559
 
7.6%
3 355
 
4.9%
9 304
 
4.2%
6 256
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7315
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1440
19.7%
7 1147
15.7%
- 1045
14.3%
8 820
11.2%
4 621
8.5%
2 559
 
7.6%
1 559
 
7.6%
3 355
 
4.9%
9 304
 
4.2%
6 256
 
3.5%

소재지전체주소
Text

MISSING 

Distinct1407
Distinct (%)92.6%
Missing52
Missing (%)3.3%
Memory size12.4 KiB
2023-08-15T15:22:39.446370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length23.496711
Min length14

Characters and Unicode

Total characters35715
Distinct characters214
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

Unique1302 ?
Unique (%)85.7%

Sample

1st row대구광역시 중구 남산동 609-4 3층
2nd row대구광역시 중구 동인동4가 191번지 2층
3rd row대구광역시 중구 대봉동 55-158번지
4th row대구광역시 중구 포정동 51-1
5th row대구광역시 중구 삼덕동1가 22-9번지
ValueCountFrequency (%)
대구광역시 1520
22.1%
달서구 372
 
5.4%
북구 312
 
4.5%
동구 213
 
3.1%
수성구 200
 
2.9%
3층 170
 
2.5%
2층 170
 
2.5%
서구 131
 
1.9%
남구 114
 
1.7%
달성군 99
 
1.4%
Other values (1591) 3584
52.1%
2023-08-15T15:22:40.388406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6863
19.2%
2963
 
8.3%
1737
 
4.9%
1669
 
4.7%
1 1616
 
4.5%
1529
 
4.3%
1522
 
4.3%
1520
 
4.3%
1347
 
3.8%
- 1330
 
3.7%
Other values (204) 13619
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19791
55.4%
Decimal Number 7516
 
21.0%
Space Separator 6863
 
19.2%
Dash Punctuation 1330
 
3.7%
Open Punctuation 93
 
0.3%
Close Punctuation 93
 
0.3%
Uppercase Letter 18
 
0.1%
Other Punctuation 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2963
15.0%
1737
 
8.8%
1669
 
8.4%
1529
 
7.7%
1522
 
7.7%
1520
 
7.7%
1347
 
6.8%
1227
 
6.2%
540
 
2.7%
535
 
2.7%
Other values (180) 5202
26.3%
Decimal Number
ValueCountFrequency (%)
1 1616
21.5%
2 1110
14.8%
3 945
12.6%
4 695
9.2%
5 621
 
8.3%
0 582
 
7.7%
6 510
 
6.8%
7 497
 
6.6%
9 470
 
6.3%
8 470
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
B 8
44.4%
F 4
22.2%
A 2
 
11.1%
L 1
 
5.6%
M 1
 
5.6%
J 1
 
5.6%
D 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 6
54.5%
. 4
36.4%
/ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
6863
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1330
100.0%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19791
55.4%
Common 15906
44.5%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2963
15.0%
1737
 
8.8%
1669
 
8.4%
1529
 
7.7%
1522
 
7.7%
1520
 
7.7%
1347
 
6.8%
1227
 
6.2%
540
 
2.7%
535
 
2.7%
Other values (180) 5202
26.3%
Common
ValueCountFrequency (%)
6863
43.1%
1 1616
 
10.2%
- 1330
 
8.4%
2 1110
 
7.0%
3 945
 
5.9%
4 695
 
4.4%
5 621
 
3.9%
0 582
 
3.7%
6 510
 
3.2%
7 497
 
3.1%
Other values (7) 1137
 
7.1%
Latin
ValueCountFrequency (%)
B 8
44.4%
F 4
22.2%
A 2
 
11.1%
L 1
 
5.6%
M 1
 
5.6%
J 1
 
5.6%
D 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19791
55.4%
ASCII 15924
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6863
43.1%
1 1616
 
10.1%
- 1330
 
8.4%
2 1110
 
7.0%
3 945
 
5.9%
4 695
 
4.4%
5 621
 
3.9%
0 582
 
3.7%
6 510
 
3.2%
7 497
 
3.1%
Other values (14) 1155
 
7.3%
Hangul
ValueCountFrequency (%)
2963
15.0%
1737
 
8.8%
1669
 
8.4%
1529
 
7.7%
1522
 
7.7%
1520
 
7.7%
1347
 
6.8%
1227
 
6.2%
540
 
2.7%
535
 
2.7%
Other values (180) 5202
26.3%

도로명전체주소
Text

MISSING 

Distinct1431
Distinct (%)94.5%
Missing57
Missing (%)3.6%
Memory size12.4 KiB
2023-08-15T15:22:40.960739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length46
Mean length26.661386
Min length20

Characters and Unicode

Total characters40392
Distinct characters260
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

Unique1352 ?
Unique (%)89.2%

Sample

1st row대구광역시 중구 명덕로35길 99, 3층 (남산동)
2nd row대구광역시 중구 국채보상로140길 13, 2층 (동인동4가)
3rd row대구광역시 중구 대봉로 234, 2층 (대봉동)
4th row대구광역시 중구 경상감영길 94, 2층 (포정동)
5th row대구광역시 중구 동성로5길 75 (삼덕동1가)
ValueCountFrequency (%)
대구광역시 1515
 
18.5%
달서구 408
 
5.0%
북구 309
 
3.8%
동구 209
 
2.5%
수성구 194
 
2.4%
2층 156
 
1.9%
서구 137
 
1.7%
3층 132
 
1.6%
남구 111
 
1.4%
달성군 92
 
1.1%
Other values (1417) 4947
60.3%
2023-08-15T15:22:41.834780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7285
18.0%
3139
 
7.8%
2004
 
5.0%
1996
 
4.9%
1537
 
3.8%
1521
 
3.8%
1519
 
3.8%
1508
 
3.7%
( 1492
 
3.7%
) 1492
 
3.7%
Other values (250) 16899
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23253
57.6%
Space Separator 7285
 
18.0%
Decimal Number 5788
 
14.3%
Open Punctuation 1492
 
3.7%
Close Punctuation 1492
 
3.7%
Other Punctuation 849
 
2.1%
Dash Punctuation 213
 
0.5%
Uppercase Letter 19
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3139
 
13.5%
2004
 
8.6%
1996
 
8.6%
1537
 
6.6%
1521
 
6.5%
1519
 
6.5%
1508
 
6.5%
743
 
3.2%
719
 
3.1%
643
 
2.8%
Other values (225) 7924
34.1%
Decimal Number
ValueCountFrequency (%)
1 1111
19.2%
2 997
17.2%
3 834
14.4%
5 550
9.5%
4 516
8.9%
0 389
 
6.7%
6 387
 
6.7%
9 355
 
6.1%
7 327
 
5.6%
8 322
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 9
47.4%
F 4
21.1%
A 2
 
10.5%
L 1
 
5.3%
D 1
 
5.3%
J 1
 
5.3%
M 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 844
99.4%
. 4
 
0.5%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
7285
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1492
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1492
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 213
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23253
57.6%
Common 17120
42.4%
Latin 19
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3139
 
13.5%
2004
 
8.6%
1996
 
8.6%
1537
 
6.6%
1521
 
6.5%
1519
 
6.5%
1508
 
6.5%
743
 
3.2%
719
 
3.1%
643
 
2.8%
Other values (225) 7924
34.1%
Common
ValueCountFrequency (%)
7285
42.6%
( 1492
 
8.7%
) 1492
 
8.7%
1 1111
 
6.5%
2 997
 
5.8%
, 844
 
4.9%
3 834
 
4.9%
5 550
 
3.2%
4 516
 
3.0%
0 389
 
2.3%
Other values (8) 1610
 
9.4%
Latin
ValueCountFrequency (%)
B 9
47.4%
F 4
21.1%
A 2
 
10.5%
L 1
 
5.3%
D 1
 
5.3%
J 1
 
5.3%
M 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23253
57.6%
ASCII 17139
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7285
42.5%
( 1492
 
8.7%
) 1492
 
8.7%
1 1111
 
6.5%
2 997
 
5.8%
, 844
 
4.9%
3 834
 
4.9%
5 550
 
3.2%
4 516
 
3.0%
0 389
 
2.3%
Other values (15) 1629
 
9.5%
Hangul
ValueCountFrequency (%)
3139
 
13.5%
2004
 
8.6%
1996
 
8.6%
1537
 
6.6%
1521
 
6.5%
1519
 
6.5%
1508
 
6.5%
743
 
3.2%
719
 
3.1%
643
 
2.8%
Other values (225) 7924
34.1%

도로명우편번호
Text

MISSING 

Distinct414
Distinct (%)55.2%
Missing822
Missing (%)52.3%
Memory size12.4 KiB
2023-08-15T15:22:42.369177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2453333
Min length5

Characters and Unicode

Total characters3934
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

Unique256 ?
Unique (%)34.1%

Sample

1st row41969
2nd row41945
3rd row41954
4th row41918
5th row41941
ValueCountFrequency (%)
41423 21
 
2.8%
41544 9
 
1.2%
42274 8
 
1.1%
41569 7
 
0.9%
41034 7
 
0.9%
41443 7
 
0.9%
41086 6
 
0.8%
42614 6
 
0.8%
700-411 6
 
0.8%
42197 6
 
0.8%
Other values (404) 667
88.9%
2023-08-15T15:22:43.232877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 974
24.8%
1 633
16.1%
2 528
13.4%
0 318
 
8.1%
7 302
 
7.7%
5 227
 
5.8%
8 225
 
5.7%
9 221
 
5.6%
6 217
 
5.5%
3 197
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3842
97.7%
Dash Punctuation 92
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 974
25.4%
1 633
16.5%
2 528
13.7%
0 318
 
8.3%
7 302
 
7.9%
5 227
 
5.9%
8 225
 
5.9%
9 221
 
5.8%
6 217
 
5.6%
3 197
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3934
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 974
24.8%
1 633
16.1%
2 528
13.4%
0 318
 
8.1%
7 302
 
7.7%
5 227
 
5.8%
8 225
 
5.7%
9 221
 
5.6%
6 217
 
5.5%
3 197
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3934
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 974
24.8%
1 633
16.1%
2 528
13.4%
0 318
 
8.1%
7 302
 
7.7%
5 227
 
5.8%
8 225
 
5.7%
9 221
 
5.6%
6 217
 
5.5%
3 197
 
5.0%
Distinct1106
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
2023-08-15T15:22:43.767489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length6.028626
Min length2

Characters and Unicode

Total characters9477
Distinct characters485
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique886 ?
Unique (%)56.4%

Sample

1st row원당구장
2nd row에쿠스당구장
3rd row대봉당구장
4th row삼송당구장
5th row동성로 당구클럽
ValueCountFrequency (%)
당구장 169
 
8.7%
당구클럽 138
 
7.1%
tbc당구클럽 21
 
1.1%
tbc당구장 15
 
0.8%
특실당구장 13
 
0.7%
큐당구장 13
 
0.7%
스카이당구장 10
 
0.5%
에이스당구장 10
 
0.5%
당구 10
 
0.5%
tbc 10
 
0.5%
Other values (1096) 1541
79.0%
2023-08-15T15:22:45.219641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1519
16.0%
1495
15.8%
976
 
10.3%
489
 
5.2%
487
 
5.1%
378
 
4.0%
209
 
2.2%
130
 
1.4%
103
 
1.1%
94
 
1.0%
Other values (475) 3597
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8515
89.8%
Uppercase Letter 446
 
4.7%
Space Separator 378
 
4.0%
Decimal Number 56
 
0.6%
Lowercase Letter 28
 
0.3%
Other Punctuation 27
 
0.3%
Close Punctuation 10
 
0.1%
Open Punctuation 9
 
0.1%
Dash Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1519
17.8%
1495
17.6%
976
 
11.5%
489
 
5.7%
487
 
5.7%
209
 
2.5%
130
 
1.5%
103
 
1.2%
94
 
1.1%
73
 
0.9%
Other values (419) 2940
34.5%
Uppercase Letter
ValueCountFrequency (%)
B 77
17.3%
C 66
14.8%
T 59
13.2%
S 39
8.7%
K 30
 
6.7%
J 22
 
4.9%
O 21
 
4.7%
P 21
 
4.7%
M 19
 
4.3%
I 17
 
3.8%
Other values (14) 75
16.8%
Lowercase Letter
ValueCountFrequency (%)
e 4
14.3%
k 4
14.3%
a 3
10.7%
l 2
 
7.1%
r 2
 
7.1%
s 2
 
7.1%
i 2
 
7.1%
o 1
 
3.6%
b 1
 
3.6%
u 1
 
3.6%
Other values (6) 6
21.4%
Decimal Number
ValueCountFrequency (%)
2 26
46.4%
1 12
21.4%
5 6
 
10.7%
4 5
 
8.9%
3 3
 
5.4%
7 2
 
3.6%
0 2
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 15
55.6%
& 9
33.3%
· 1
 
3.7%
' 1
 
3.7%
# 1
 
3.7%
Space Separator
ValueCountFrequency (%)
378
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8515
89.8%
Common 488
 
5.1%
Latin 474
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1519
17.8%
1495
17.6%
976
 
11.5%
489
 
5.7%
487
 
5.7%
209
 
2.5%
130
 
1.5%
103
 
1.2%
94
 
1.1%
73
 
0.9%
Other values (419) 2940
34.5%
Latin
ValueCountFrequency (%)
B 77
16.2%
C 66
13.9%
T 59
12.4%
S 39
 
8.2%
K 30
 
6.3%
J 22
 
4.6%
O 21
 
4.4%
P 21
 
4.4%
M 19
 
4.0%
I 17
 
3.6%
Other values (30) 103
21.7%
Common
ValueCountFrequency (%)
378
77.5%
2 26
 
5.3%
. 15
 
3.1%
1 12
 
2.5%
) 10
 
2.0%
& 9
 
1.8%
( 9
 
1.8%
- 8
 
1.6%
5 6
 
1.2%
4 5
 
1.0%
Other values (6) 10
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8515
89.8%
ASCII 961
 
10.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1519
17.8%
1495
17.6%
976
 
11.5%
489
 
5.7%
487
 
5.7%
209
 
2.5%
130
 
1.5%
103
 
1.2%
94
 
1.1%
73
 
0.9%
Other values (419) 2940
34.5%
ASCII
ValueCountFrequency (%)
378
39.3%
B 77
 
8.0%
C 66
 
6.9%
T 59
 
6.1%
S 39
 
4.1%
K 30
 
3.1%
2 26
 
2.7%
J 22
 
2.3%
O 21
 
2.2%
P 21
 
2.2%
Other values (45) 222
23.1%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Date

UNIQUE 

Distinct1572
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
Minimum2003-02-26 10:20:59
Maximum2023-06-29 14:24:30
2023-08-15T15:22:45.552064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-15T15:22:45.834655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
I
1023 
U
549 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1023
65.1%
U 549
34.9%

Length

2023-08-15T15:22:46.119135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T15:22:46.326228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1023
65.1%
u 549
34.9%
Distinct407
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-07-01 02:40:00
2023-08-15T15:22:46.564887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-15T15:22:46.908178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1572
Missing (%)100.0%
Memory size13.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1236
Distinct (%)79.6%
Missing20
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean342199.75
Minimum326316.83
Maximum356351.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-08-15T15:22:47.157163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326316.83
5-th percentile334126.75
Q1338988.47
median341848.65
Q3345941.29
95-th percentile352854.34
Maximum356351.62
Range30034.788
Interquartile range (IQR)6952.8164

Descriptive statistics

Standard deviation5329.2337
Coefficient of variation (CV)0.015573459
Kurtosis0.055446284
Mean342199.75
Median Absolute Deviation (MAD)3465.8557
Skewness0.11754025
Sum5.3109401 × 108
Variance28400732
MonotonicityNot monotonic
2023-08-15T15:22:47.510554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
340319.472097282 5
 
0.3%
339763.678525475 4
 
0.3%
334127.643645083 4
 
0.3%
338240.45865778 4
 
0.3%
347783.13625994 4
 
0.3%
355729.578667796 4
 
0.3%
340058.341412449 4
 
0.3%
341806.290847047 4
 
0.3%
340315.66970427 3
 
0.2%
343564.780276255 3
 
0.2%
Other values (1226) 1513
96.2%
(Missing) 20
 
1.3%
ValueCountFrequency (%)
326316.829633469 1
0.1%
328015.993727317 2
0.1%
328307.681490331 1
0.1%
329920.54155651 1
0.1%
330018.500706022 1
0.1%
330046.077683087 1
0.1%
330054.777650952 1
0.1%
330063.035240343 1
0.1%
330111.303555631 1
0.1%
330200.77103538 1
0.1%
ValueCountFrequency (%)
356351.617490545 1
 
0.1%
356247.145224732 1
 
0.1%
356109.824212826 1
 
0.1%
355759.829285467 1
 
0.1%
355738.134502612 1
 
0.1%
355737.129428969 1
 
0.1%
355736.0571014 1
 
0.1%
355729.578667796 4
0.3%
355671.833565 1
 
0.1%
355665.232375402 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1236
Distinct (%)79.6%
Missing20
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean263425.07
Minimum240483.18
Maximum273573.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-08-15T15:22:47.814069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240483.18
5-th percentile257433.59
Q1261305.09
median263280.2
Q3265931.28
95-th percentile271445.03
Maximum273573.03
Range33089.854
Interquartile range (IQR)4626.1927

Descriptive statistics

Standard deviation4664.8226
Coefficient of variation (CV)0.017708347
Kurtosis4.0057725
Mean263425.07
Median Absolute Deviation (MAD)2199.0154
Skewness-1.0570724
Sum4.0883571 × 108
Variance21760569
MonotonicityNot monotonic
2023-08-15T15:22:48.141045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264923.875001838 5
 
0.3%
272190.882494823 4
 
0.3%
262155.282763412 4
 
0.3%
263094.042737289 4
 
0.3%
267178.563805507 4
 
0.3%
264397.593014137 4
 
0.3%
260383.01492667 4
 
0.3%
263685.956304289 4
 
0.3%
271263.909577437 3
 
0.2%
262520.800196285 3
 
0.2%
Other values (1226) 1513
96.2%
(Missing) 20
 
1.3%
ValueCountFrequency (%)
240483.177406236 2
0.1%
240491.096812813 1
0.1%
244518.668327961 1
0.1%
244540.373229674 1
0.1%
244540.724663233 1
0.1%
244553.515554328 1
0.1%
244589.860045679 1
0.1%
244641.607033886 1
0.1%
244660.404545869 1
0.1%
244661.838228877 1
0.1%
ValueCountFrequency (%)
273573.031507575 1
 
0.1%
273541.143414077 3
0.2%
273506.093893371 1
 
0.1%
273465.491745612 1
 
0.1%
272899.885633895 1
 
0.1%
272729.594572692 2
0.1%
272695.123587952 2
0.1%
272656.837765927 1
 
0.1%
272656.031203693 1
 
0.1%
272633.741088398 1
 
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
당구장업
1572 

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 1572
100.0%

Length

2023-08-15T15:22:48.425614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T15:22:48.651316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 1572
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
사립
1572 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 1572
100.0%

Length

2023-08-15T15:22:48.864012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T15:22:49.111048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1572
100.0%
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
<NA>
1117 
0
454 
Y
 
1

Length

Max length4
Median length4
Mean length3.1316794
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1117
71.1%
0 454
28.9%
Y 1
 
0.1%

Length

2023-08-15T15:22:49.341513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T15:22:49.549383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1117
71.1%
0 454
28.9%
y 1
 
0.1%

지도자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
<NA>
1443 
0
 
128
1
 
1

Length

Max length4
Median length4
Mean length3.7538168
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1443
91.8%
0 128
 
8.1%
1 1
 
0.1%

Length

2023-08-15T15:22:49.825075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T15:22:50.103259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1443
91.8%
0 128
 
8.1%
1 1
 
0.1%

건축물동수
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
<NA>
1223 
1
233 
0
 
116

Length

Max length4
Median length4
Mean length3.3339695
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1223
77.8%
1 233
 
14.8%
0 116
 
7.4%

Length

2023-08-15T15:22:50.386863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T15:22:50.615422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1223
77.8%
1 233
 
14.8%
0 116
 
7.4%

건축물연면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct388
Distinct (%)76.8%
Missing1067
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean2373.3969
Minimum0
Maximum583286
Zeros92
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-08-15T15:22:50.874516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1208.64
median856.87
Q31414.59
95-th percentile3688.562
Maximum583286
Range583286
Interquartile range (IQR)1205.95

Descriptive statistics

Standard deviation26137.943
Coefficient of variation (CV)11.012883
Kurtosis486.98992
Mean2373.3969
Median Absolute Deviation (MAD)614.91
Skewness21.910535
Sum1198565.4
Variance6.8319205 × 108
MonotonicityNot monotonic
2023-08-15T15:22:51.622768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 92
 
5.9%
1065.09 3
 
0.2%
1010.0 3
 
0.2%
1414.59 2
 
0.1%
1569.05 2
 
0.1%
557.16 2
 
0.1%
286.56 2
 
0.1%
903.72 2
 
0.1%
455.15 2
 
0.1%
2471.0 2
 
0.1%
Other values (378) 393
 
25.0%
(Missing) 1067
67.9%
ValueCountFrequency (%)
0.0 92
5.9%
99.0 1
 
0.1%
108.36 1
 
0.1%
114.72 1
 
0.1%
115.7 1
 
0.1%
133.04 1
 
0.1%
134.12 1
 
0.1%
136.86 1
 
0.1%
141.23 1
 
0.1%
142.5 1
 
0.1%
ValueCountFrequency (%)
583286.0 1
0.1%
74943.96 1
0.1%
8250.07 1
0.1%
7435.21 1
0.1%
7388.85 1
0.1%
7325.67 1
0.1%
6593.98 1
0.1%
6418.38 1
0.1%
5582.74 1
0.1%
5373.86 2
0.1%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
<NA>
1444 
0
 
128

Length

Max length4
Median length4
Mean length3.7557252
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1444
91.9%
0 128
 
8.1%

Length

2023-08-15T15:22:52.060781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-15T15:22:52.285857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1444
91.9%
0 128
 
8.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1572
Missing (%)100.0%
Memory size13.9 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1572
Missing (%)100.0%
Memory size13.9 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
01당구장업10_32_01_P3410000CDFH33010820140000012014-06-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>700-835대구광역시 중구 남산동 609-4 3층대구광역시 중구 명덕로35길 99, 3층 (남산동)41969원당구장2023-05-31 15:00:27U2023-06-02 02:40:00<NA>343517.568849263484.130401당구장업사립<NA>00938.260<NA><NA>
12당구장업10_32_01_P3410000CDFH33010820150000012015-01-02<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4045-0991<NA>700-847대구광역시 중구 동인동4가 191번지 2층대구광역시 중구 국채보상로140길 13, 2층 (동인동4가)41945에쿠스당구장2019-03-06 09:01:45U2019-03-08 02:40:00<NA>345020.533281264307.377889당구장업사립<NA><NA><NA>269.01<NA><NA><NA>
23당구장업10_32_01_P3410000CDFH33010820190000012019-09-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 55-158번지대구광역시 중구 대봉로 234, 2층 (대봉동)41954대봉당구장2019-09-30 20:05:15U2019-10-02 02:40:00<NA>344566.928725263329.604083당구장업사립<NA><NA><NA>455.15<NA><NA><NA>
34당구장업10_32_01_P3410000CDFH33010820210000022021-11-19<NA>1영업/정상13영업중<NA><NA><NA><NA>0532570006<NA><NA>대구광역시 중구 포정동 51-1대구광역시 중구 경상감영길 94, 2층 (포정동)41918삼송당구장2021-11-19 14:00:04I2021-11-21 00:22:44<NA>343763.193192264661.192007당구장업사립<NA>000.00<NA><NA>
45당구장업10_32_01_P3410000CDFH33010820180000022018-12-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 22-9번지대구광역시 중구 동성로5길 75 (삼덕동1가)41941동성로 당구클럽2018-12-05 09:48:24I2018-12-07 02:20:08<NA>344317.257584264199.131562당구장업사립<NA><NA><NA><NA><NA><NA><NA>
56당구장업10_32_01_P3410000CDFH33010820210000012021-01-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 55-94대구광역시 중구 대봉로 238, 2층 (대봉동)41954에이스 당구클럽2021-01-07 17:24:59I2021-01-09 00:23:05<NA>344559.243778263362.744892당구장업사립<NA><NA><NA>1414.59<NA><NA><NA>
67당구장업10_32_01_P3410000CDFH33010820220000012022-06-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 전동 71대구광역시 중구 중앙대로81길 18, 3층 (전동)41935종로빌리아드클럽2022-06-09 15:06:52I2022-06-11 00:22:30<NA>343761.638079264469.117162당구장업사립<NA>000.00<NA><NA>
78당구장업10_32_01_P3410000CDFH33010820090000092009-12-21<NA>3폐업34영업장폐쇄2019-06-03<NA><NA><NA>422-2623<NA>700-111대구광역시 중구 태평로1가 21-5번지 4층대구광역시 중구 태평로 204, 4층 (태평로1가)41910현대당구장2019-06-14 09:33:12U2019-06-16 02:40:00<NA>344408.347973264922.846515당구장업사립<NA><NA><NA>2813.5<NA><NA><NA>
89당구장업10_32_01_P3410000CDFH33010820000000022000-03-09<NA>4취소/말소/만료/정지/중지35직권말소2009-06-18<NA><NA><NA>427-6030<NA>700-413대구광역시 중구 삼덕동3가 140-1번지<NA><NA>드림당구장2009-06-23 17:55:57I2018-08-31 23:59:59<NA>345402.080819264059.128198당구장업사립<NA><NA><NA><NA><NA><NA><NA>
910당구장업10_32_01_P3410000CDFH33010820010000022001-10-30<NA>4취소/말소/만료/정지/중지35직권말소2009-04-09<NA><NA><NA>257-8685<NA>700-060대구광역시 중구 남일동 53-5번지<NA><NA>은일빌리아드2009-04-13 16:54:28I2018-08-31 23:59:59<NA>343845.986598264521.709376당구장업사립0<NA><NA>157.89<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
15621563당구장업10_32_01_P3480000CDFH33010820110000012011-07-05<NA>3폐업3폐업2019-07-29<NA><NA><NA>614-1446<NA>711-857대구광역시 달성군 논공읍 북리 803-204번지 2층대구광역시 달성군 논공읍 논공로 738 (2층)<NA>국가대표당구장2019-07-29 11:32:57U2019-07-31 02:40:00<NA>330778.558899248729.207526당구장업사립<NA><NA><NA><NA><NA><NA><NA>
15631564당구장업10_32_01_P3480000CDFH33010820120000012012-01-04<NA>3폐업3폐업2018-07-24<NA><NA><NA><NA><NA>711-891대구광역시 달성군 구지면 응암리 1189-1번지대구광역시 달성군 구지면 과학마을로 3043009W당구장2018-09-12 14:04:50U2018-09-12 23:59:59<NA>328015.993727240483.177406당구장업사립<NA><NA><NA><NA><NA><NA><NA>
15641565당구장업10_32_01_P3480000CDFH33010820130000022013-04-18<NA>3폐업3폐업2018-12-27<NA><NA><NA><NA><NA>711-872대구광역시 달성군 현풍읍 성하리 402-6번지대구광역시 달성군 현풍읍 현풍중앙로 11143000J당구장2018-12-27 15:13:47U2018-12-29 02:40:00<NA>330307.296209245252.052382당구장업사립<NA><NA>11293.63<NA><NA><NA>
15651566당구장업10_32_01_P3480000CDFH33010820090000072009-04-30<NA>3폐업3폐업2019-07-29<NA><NA><NA>053-611-2740<NA>711-857대구광역시 달성군 논공읍 북리 803-146번지대구광역시 달성군 논공읍 논공로9길 87<NA>무한도전 당구클럽2019-07-29 11:31:47U2019-07-31 02:40:00<NA>330534.621455248689.520977당구장업사립Y<NA>1775.24<NA><NA><NA>
15661567당구장업10_32_01_P3480000CDFH33010820130000042013-09-24<NA>3폐업3폐업2019-07-29<NA><NA><NA><NA><NA>711-812대구광역시 달성군 다사읍 매곡리 491번지대구광역시 달성군 다사읍 다사역로 3942908동영 당구장2019-07-29 11:33:41U2019-07-31 02:40:00<NA>331597.649165263824.496118당구장업사립<NA><NA>1273.02<NA><NA><NA>
15671568당구장업10_32_01_P3480000CDFH33010820030000032003-05-13<NA>3폐업3폐업2022-10-17<NA><NA><NA><NA><NA>711-836대구광역시 달성군 화원읍 천내리 460-0004대구광역시 달성군 화원읍 비슬로 2616, 3층42962TBC당구장2022-10-28 10:08:27U2022-10-30 02:40:00<NA>335754.988719257104.831161당구장업사립<NA>000.00<NA><NA>
15681569당구장업10_32_01_P3480000CDFH33010820150000012015-11-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 부리 433-2 5층대구광역시 달성군 현풍읍 비슬로134길 107, 5층42999현풍당구클럽2022-02-24 09:18:51U2022-02-26 02:40:00<NA>330587.050964245051.557951당구장업사립<NA><NA><NA><NA><NA><NA><NA>
15691570당구장업10_32_01_P3480000CDFH33010820150000022015-12-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 원교리 123번지 2층대구광역시 달성군 현풍면 비슬로 594, 2층43004123당구클럽2015-12-17 16:18:26I2018-08-31 23:59:59<NA>330506.679186244518.668328당구장업사립<NA><NA><NA><NA><NA><NA><NA>
15701571당구장업10_32_01_P3480000CDFH33010820160000012016-01-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 중리 489-2번지 1동 504호대구광역시 달성군 현풍면 테크노상업로 50, 1동 5층 504호43017테크노당구클럽2016-01-18 12:51:43I2018-08-31 23:59:59<NA>331533.977828244641.607034당구장업사립<NA><NA><NA><NA><NA><NA><NA>
15711572당구장업10_32_01_P3480000CDFH33010820160000022016-02-24<NA>1영업/정상13영업중<NA><NA><NA><NA>053-588-3975<NA><NA>대구광역시 달성군 다사읍 매곡리 699-2번지 다사빌딩 2층대구광역시 달성군 다사읍 다사역로 5, 다사빌딩 2층42908다사 당구클럽2020-04-03 16:46:54U2020-04-05 02:40:00<NA>331727.700751263543.593761당구장업사립<NA><NA><NA><NA><NA><NA><NA>