Overview

Dataset statistics

Number of variables37
Number of observations1555
Missing cells13033
Missing cells (%)22.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory484.5 KiB
Average record size in memory319.1 B

Variable types

Numeric10
Categorical15
Text5
Unsupported6
DateTime1

Dataset

Description22년06월_6270000_대구광역시_10_32_01_P_당구장업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093751&dataSetDetailId=DDI_0000093795&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
공사립구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (98.8%)Imbalance
휴업종료일자 is highly imbalanced (98.8%)Imbalance
지도자수 is highly imbalanced (81.9%)Imbalance
회원모집총인원 is highly imbalanced (72.1%)Imbalance
인허가취소일자 has 1555 (100.0%) missing valuesMissing
폐업일자 has 446 (28.7%) missing valuesMissing
재개업일자 has 1555 (100.0%) missing valuesMissing
소재지전화 has 670 (43.1%) missing valuesMissing
소재지면적 has 1555 (100.0%) missing valuesMissing
소재지우편번호 has 513 (33.0%) missing valuesMissing
소재지전체주소 has 52 (3.3%) missing valuesMissing
도로명전체주소 has 57 (3.7%) missing valuesMissing
도로명우편번호 has 821 (52.8%) missing valuesMissing
업태구분명 has 1555 (100.0%) missing valuesMissing
좌표정보(X) has 25 (1.6%) missing valuesMissing
좌표정보(Y) has 25 (1.6%) missing valuesMissing
건축물연면적 has 1094 (70.4%) missing valuesMissing
세부업종명 has 1555 (100.0%) missing valuesMissing
법인명 has 1555 (100.0%) missing valuesMissing
건축물연면적 is highly skewed (γ1 = 20.93992489)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 51 (3.3%) zerosZeros

Reproduction

Analysis started2024-04-22 00:00:49.908430
Analysis finished2024-04-22 00:00:50.738587
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1555
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean778
Minimum1
Maximum1555
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2024-04-22T09:00:50.799939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile78.7
Q1389.5
median778
Q31166.5
95-th percentile1477.3
Maximum1555
Range1554
Interquartile range (IQR)777

Descriptive statistics

Standard deviation449.03415
Coefficient of variation (CV)0.57716472
Kurtosis-1.2
Mean778
Median Absolute Deviation (MAD)389
Skewness0
Sum1209790
Variance201631.67
MonotonicityStrictly increasing
2024-04-22T09:00:51.139386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1023 1
 
0.1%
1045 1
 
0.1%
1044 1
 
0.1%
1043 1
 
0.1%
1042 1
 
0.1%
1041 1
 
0.1%
1040 1
 
0.1%
1039 1
 
0.1%
1038 1
 
0.1%
Other values (1545) 1545
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 (%)
1555 1
0.1%
1554 1
0.1%
1553 1
0.1%
1552 1
0.1%
1551 1
0.1%
1550 1
0.1%
1549 1
0.1%
1548 1
0.1%
1547 1
0.1%
1546 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
당구장업
1555 

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 1555
100.0%

Length

2024-04-22T09:00:51.254590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:00:51.340976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 1555
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
10_32_01_P
1555 

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 1555
100.0%

Length

2024-04-22T09:00:51.428840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:00:51.511505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_32_01_p 1555
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3449877.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2024-04-22T09:00:51.585176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation20515.819
Coefficient of variation (CV)0.0059468248
Kurtosis-1.0371928
Mean3449877.8
Median Absolute Deviation (MAD)20000
Skewness-0.41556332
Sum5.36456 × 109
Variance4.2089883 × 108
MonotonicityIncreasing
2024-04-22T09:00:51.679785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 411
26.4%
3450000 310
19.9%
3420000 210
13.5%
3460000 198
12.7%
3430000 138
 
8.9%
3440000 111
 
7.1%
3480000 98
 
6.3%
3410000 79
 
5.1%
ValueCountFrequency (%)
3410000 79
 
5.1%
3420000 210
13.5%
3430000 138
 
8.9%
3440000 111
 
7.1%
3450000 310
19.9%
3460000 198
12.7%
3470000 411
26.4%
3480000 98
 
6.3%
ValueCountFrequency (%)
3480000 98
 
6.3%
3470000 411
26.4%
3460000 198
12.7%
3450000 310
19.9%
3440000 111
 
7.1%
3430000 138
 
8.9%
3420000 210
13.5%
3410000 79
 
5.1%

관리번호
Text

Distinct492
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
2024-04-22T09:00:51.854051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters31100
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

Unique165 ?
Unique (%)10.6%

Sample

1st rowCDFH3301082014000001
2nd rowCDFH3301082015000001
3rd rowCDFH3301082019000001
4th rowCDFH3301082021000002
5th rowCDFH3301082018000002
ValueCountFrequency (%)
cdfh3301082009000004 8
 
0.5%
cdfh3301082009000005 8
 
0.5%
cdfh3301082006000003 8
 
0.5%
cdfh3301082007000003 8
 
0.5%
cdfh3301082004000001 8
 
0.5%
cdfh3301082018000001 8
 
0.5%
cdfh3301082008000005 8
 
0.5%
cdfh3301082008000006 8
 
0.5%
cdfh3301082008000007 8
 
0.5%
cdfh3301082007000005 8
 
0.5%
Other values (482) 1475
94.9%
2024-04-22T09:00:52.141036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12819
41.2%
3 3504
 
11.3%
1 2879
 
9.3%
8 1928
 
6.2%
2 1921
 
6.2%
C 1555
 
5.0%
D 1555
 
5.0%
F 1555
 
5.0%
H 1555
 
5.0%
9 565
 
1.8%
Other values (4) 1264
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24880
80.0%
Uppercase Letter 6220
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12819
51.5%
3 3504
 
14.1%
1 2879
 
11.6%
8 1928
 
7.7%
2 1921
 
7.7%
9 565
 
2.3%
7 393
 
1.6%
6 324
 
1.3%
4 287
 
1.2%
5 260
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 1555
25.0%
D 1555
25.0%
F 1555
25.0%
H 1555
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24880
80.0%
Latin 6220
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12819
51.5%
3 3504
 
14.1%
1 2879
 
11.6%
8 1928
 
7.7%
2 1921
 
7.7%
9 565
 
2.3%
7 393
 
1.6%
6 324
 
1.3%
4 287
 
1.2%
5 260
 
1.0%
Latin
ValueCountFrequency (%)
C 1555
25.0%
D 1555
25.0%
F 1555
25.0%
H 1555
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12819
41.2%
3 3504
 
11.3%
1 2879
 
9.3%
8 1928
 
6.2%
2 1921
 
6.2%
C 1555
 
5.0%
D 1555
 
5.0%
F 1555
 
5.0%
H 1555
 
5.0%
9 565
 
1.8%
Other values (4) 1264
 
4.1%

인허가일자
Real number (ℝ)

Distinct1271
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20080052
Minimum19810108
Maximum20220620
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2024-04-22T09:00:52.275605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19810108
5-th percentile19961130
Q120031006
median20080408
Q320120912
95-th percentile20190515
Maximum20220620
Range410512
Interquartile range (IQR)89905

Descriptive statistics

Standard deviation66707.02
Coefficient of variation (CV)0.0033220541
Kurtosis0.30894623
Mean20080052
Median Absolute Deviation (MAD)49293
Skewness-0.21821488
Sum3.1224482 × 1010
Variance4.4498266 × 109
MonotonicityNot monotonic
2024-04-22T09:00:52.399911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070403 6
 
0.4%
20070810 5
 
0.3%
20080327 5
 
0.3%
20070410 4
 
0.3%
20080828 4
 
0.3%
20071023 4
 
0.3%
20090224 4
 
0.3%
20090630 4
 
0.3%
20070308 4
 
0.3%
20070720 4
 
0.3%
Other values (1261) 1511
97.2%
ValueCountFrequency (%)
19810108 1
0.1%
19810716 1
0.1%
19810905 1
0.1%
19811208 1
0.1%
19820429 1
0.1%
19870526 1
0.1%
19880418 1
0.1%
19881028 2
0.1%
19891127 1
0.1%
19900117 2
0.1%
ValueCountFrequency (%)
20220620 1
0.1%
20220617 1
0.1%
20220609 1
0.1%
20220510 1
0.1%
20220506 1
0.1%
20220419 1
0.1%
20220308 1
0.1%
20220225 1
0.1%
20220120 1
0.1%
20220117 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1555
Missing (%)100.0%
Memory size13.8 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
3
982 
1
438 
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 (%)
3 982
63.2%
1 438
28.2%
4 132
 
8.5%
2 3
 
0.2%

Length

2024-04-22T09:00:52.533802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:00:52.637884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 982
63.2%
1 438
28.2%
4 132
 
8.5%
2 3
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
폐업
982 
영업/정상
438 
취소/말소/만료/정지/중지
132 
휴업
 
3

Length

Max length14
Median length2
Mean length3.8636656
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 982
63.2%
영업/정상 438
28.2%
취소/말소/만료/정지/중지 132
 
8.5%
휴업 3
 
0.2%

Length

2024-04-22T09:00:52.742682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:00:52.839511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 982
63.2%
영업/정상 438
28.2%
취소/말소/만료/정지/중지 132
 
8.5%
휴업 3
 
0.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
3
981 
13
438 
35
132 
2
 
3
34
 
1

Length

Max length2
Median length1
Mean length1.3672026
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 981
63.1%
13 438
28.2%
35 132
 
8.5%
2 3
 
0.2%
34 1
 
0.1%

Length

2024-04-22T09:00:52.940411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:00:53.042112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 981
63.1%
13 438
28.2%
35 132
 
8.5%
2 3
 
0.2%
34 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
폐업
981 
영업중
438 
직권말소
132 
휴업
 
3
영업장폐쇄
 
1

Length

Max length5
Median length2
Mean length2.4533762
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 981
63.1%
영업중 438
28.2%
직권말소 132
 
8.5%
휴업 3
 
0.2%
영업장폐쇄 1
 
0.1%

Length

2024-04-22T09:00:53.150468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:00:53.250784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 981
63.1%
영업중 438
28.2%
직권말소 132
 
8.5%
휴업 3
 
0.2%
영업장폐쇄 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct841
Distinct (%)75.8%
Missing446
Missing (%)28.7%
Infinite0
Infinite (%)0.0%
Mean20127539
Minimum19970307
Maximum20220627
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2024-04-22T09:00:53.364516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970307
5-th percentile20040323
Q120090212
median20130320
Q320180605
95-th percentile20201206
Maximum20220627
Range250320
Interquartile range (IQR)90393

Descriptive statistics

Standard deviation54051.417
Coefficient of variation (CV)0.0026854459
Kurtosis-1.0414849
Mean20127539
Median Absolute Deviation (MAD)49703
Skewness-0.1504516
Sum2.232144 × 1010
Variance2.9215557 × 109
MonotonicityNot monotonic
2024-04-22T09:00:53.488199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190729 21
 
1.4%
20200723 14
 
0.9%
20151201 13
 
0.8%
20181026 11
 
0.7%
20190620 10
 
0.6%
20031201 10
 
0.6%
20170718 10
 
0.6%
20200109 9
 
0.6%
20060310 8
 
0.5%
20180911 6
 
0.4%
Other values (831) 997
64.1%
(Missing) 446
28.7%
ValueCountFrequency (%)
19970307 1
0.1%
19991230 1
0.1%
20000522 1
0.1%
20010130 1
0.1%
20010317 1
0.1%
20020114 1
0.1%
20020527 1
0.1%
20021230 1
0.1%
20030116 1
0.1%
20030326 1
0.1%
ValueCountFrequency (%)
20220627 1
 
0.1%
20220617 1
 
0.1%
20220602 2
0.1%
20220512 1
 
0.1%
20220329 2
0.1%
20220324 1
 
0.1%
20220318 1
 
0.1%
20220310 3
0.2%
20220224 1
 
0.1%
20220216 1
 
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
<NA>
1552 
20200601
 
1
20090226
 
1
20210701
 
1

Length

Max length8
Median length4
Mean length4.007717
Min length4

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1552
99.8%
20200601 1
 
0.1%
20090226 1
 
0.1%
20210701 1
 
0.1%

Length

2024-04-22T09:00:53.607203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:00:53.711082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1552
99.8%
20200601 1
 
0.1%
20090226 1
 
0.1%
20210701 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
<NA>
1552 
20241231
 
1
20090525
 
1
20211231
 
1

Length

Max length8
Median length4
Mean length4.007717
Min length4

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1552
99.8%
20241231 1
 
0.1%
20090525 1
 
0.1%
20211231 1
 
0.1%

Length

2024-04-22T09:00:53.822668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:00:53.938342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1552
99.8%
20241231 1
 
0.1%
20090525 1
 
0.1%
20211231 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1555
Missing (%)100.0%
Memory size13.8 KiB

소재지전화
Text

MISSING 

Distinct861
Distinct (%)97.3%
Missing670
Missing (%)43.1%
Memory size12.3 KiB
2024-04-22T09:00:54.155946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.7559322
Min length7

Characters and Unicode

Total characters8634
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

Unique839 ?
Unique (%)94.8%

Sample

1st row070-4045-0991
2nd row0532570006
3rd row422-2623
4th row427-6030
5th row257-8685
ValueCountFrequency (%)
053-761-0504 3
 
0.3%
382-3975 3
 
0.3%
053-621-7829 2
 
0.2%
939-9372 2
 
0.2%
053-644-4439 2
 
0.2%
053-582-0822 2
 
0.2%
621-5556 2
 
0.2%
357-2235 2
 
0.2%
323-1979 2
 
0.2%
624-7891 2
 
0.2%
Other values (851) 863
97.5%
2024-04-22T09:00:54.509335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1238
14.3%
5 1215
14.1%
3 1045
12.1%
0 864
10.0%
9 685
7.9%
2 676
7.8%
6 635
7.4%
7 616
7.1%
8 579
6.7%
1 549
6.4%
Other values (3) 532
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7389
85.6%
Dash Punctuation 1238
 
14.3%
Close Punctuation 6
 
0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1215
16.4%
3 1045
14.1%
0 864
11.7%
9 685
9.3%
2 676
9.1%
6 635
8.6%
7 616
8.3%
8 579
7.8%
1 549
7.4%
4 525
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 1238
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8634
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1238
14.3%
5 1215
14.1%
3 1045
12.1%
0 864
10.0%
9 685
7.9%
2 676
7.8%
6 635
7.4%
7 616
7.1%
8 579
6.7%
1 549
6.4%
Other values (3) 532
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8634
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1238
14.3%
5 1215
14.1%
3 1045
12.1%
0 864
10.0%
9 685
7.9%
2 676
7.8%
6 635
7.4%
7 616
7.1%
8 579
6.7%
1 549
6.4%
Other values (3) 532
6.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1555
Missing (%)100.0%
Memory size13.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct345
Distinct (%)33.1%
Missing513
Missing (%)33.0%
Infinite0
Infinite (%)0.0%
Mean704393.01
Minimum700010
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2024-04-22T09:00:54.641037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700458.2
Q1702842
median704815
Q3704947
95-th percentile706853
Maximum711891
Range11881
Interquartile range (IQR)2105

Descriptive statistics

Standard deviation2379.8704
Coefficient of variation (CV)0.0033786116
Kurtosis2.4679357
Mean704393.01
Median Absolute Deviation (MAD)1013
Skewness1.0779998
Sum7.3397751 × 108
Variance5663782.9
MonotonicityNot monotonic
2024-04-22T09:00:54.758766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704940 24
 
1.5%
704921 20
 
1.3%
705816 18
 
1.2%
704922 16
 
1.0%
700411 15
 
1.0%
704946 11
 
0.7%
702886 11
 
0.7%
704947 11
 
0.7%
702842 10
 
0.6%
711852 10
 
0.6%
Other values (335) 896
57.6%
(Missing) 513
33.0%
ValueCountFrequency (%)
700010 1
 
0.1%
700030 1
 
0.1%
700040 1
 
0.1%
700060 1
 
0.1%
700070 2
 
0.1%
700082 1
 
0.1%
700092 4
0.3%
700093 3
0.2%
700111 2
 
0.1%
700150 6
0.4%
ValueCountFrequency (%)
711891 1
 
0.1%
711874 3
 
0.2%
711873 1
 
0.1%
711872 3
 
0.2%
711864 1
 
0.1%
711857 2
 
0.1%
711852 10
0.6%
711843 2
 
0.1%
711841 1
 
0.1%
711838 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct1387
Distinct (%)92.3%
Missing52
Missing (%)3.3%
Memory size12.3 KiB
2024-04-22T09:00:55.070104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length23.571524
Min length14

Characters and Unicode

Total characters35428
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

Unique1279 ?
Unique (%)85.1%

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 1503
22.1%
달서구 370
 
5.4%
북구 310
 
4.6%
동구 210
 
3.1%
수성구 198
 
2.9%
2층 170
 
2.5%
3층 169
 
2.5%
서구 131
 
1.9%
남구 111
 
1.6%
달성군 94
 
1.4%
Other values (1567) 3544
52.0%
2024-04-22T09:00:55.514815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6788
19.2%
구 2934
 
8.3%
동 1722
 
4.9%
대 1649
 
4.7%
1 1598
 
4.5%
시 1512
 
4.3%
광 1505
 
4.2%
역 1503
 
4.2%
지 1386
 
3.9%
- 1314
 
3.7%
Other values (204) 13517
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19681
55.6%
Decimal Number 7432
 
21.0%
Space Separator 6788
 
19.2%
Dash Punctuation 1314
 
3.7%
Close Punctuation 92
 
0.3%
Open Punctuation 92
 
0.3%
Uppercase Letter 18
 
0.1%
Other Punctuation 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2934
14.9%
동 1722
 
8.7%
대 1649
 
8.4%
시 1512
 
7.7%
광 1505
 
7.6%
역 1503
 
7.6%
지 1386
 
7.0%
번 1268
 
6.4%
층 538
 
2.7%
서 532
 
2.7%
Other values (180) 5132
26.1%
Decimal Number
ValueCountFrequency (%)
1 1598
21.5%
2 1109
14.9%
3 932
12.5%
4 684
9.2%
5 611
 
8.2%
0 572
 
7.7%
6 501
 
6.7%
7 496
 
6.7%
9 465
 
6.3%
8 464
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 8
44.4%
F 4
22.2%
A 2
 
11.1%
L 1
 
5.6%
M 1
 
5.6%
D 1
 
5.6%
J 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 6
54.5%
. 4
36.4%
/ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
6788
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1314
100.0%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19681
55.6%
Common 15729
44.4%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2934
14.9%
동 1722
 
8.7%
대 1649
 
8.4%
시 1512
 
7.7%
광 1505
 
7.6%
역 1503
 
7.6%
지 1386
 
7.0%
번 1268
 
6.4%
층 538
 
2.7%
서 532
 
2.7%
Other values (180) 5132
26.1%
Common
ValueCountFrequency (%)
6788
43.2%
1 1598
 
10.2%
- 1314
 
8.4%
2 1109
 
7.1%
3 932
 
5.9%
4 684
 
4.3%
5 611
 
3.9%
0 572
 
3.6%
6 501
 
3.2%
7 496
 
3.2%
Other values (7) 1124
 
7.1%
Latin
ValueCountFrequency (%)
B 8
44.4%
F 4
22.2%
A 2
 
11.1%
L 1
 
5.6%
M 1
 
5.6%
D 1
 
5.6%
J 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19681
55.6%
ASCII 15747
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6788
43.1%
1 1598
 
10.1%
- 1314
 
8.3%
2 1109
 
7.0%
3 932
 
5.9%
4 684
 
4.3%
5 611
 
3.9%
0 572
 
3.6%
6 501
 
3.2%
7 496
 
3.1%
Other values (14) 1142
 
7.3%
Hangul
ValueCountFrequency (%)
구 2934
14.9%
동 1722
 
8.7%
대 1649
 
8.4%
시 1512
 
7.7%
광 1505
 
7.6%
역 1503
 
7.6%
지 1386
 
7.0%
번 1268
 
6.4%
층 538
 
2.7%
서 532
 
2.7%
Other values (180) 5132
26.1%

도로명전체주소
Text

MISSING 

Distinct1417
Distinct (%)94.6%
Missing57
Missing (%)3.7%
Memory size12.3 KiB
2024-04-22T09:00:55.855589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length46
Mean length26.663551
Min length20

Characters and Unicode

Total characters39942
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

Unique1340 ?
Unique (%)89.5%

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 1498
 
18.5%
달서구 406
 
5.0%
북구 307
 
3.8%
동구 206
 
2.5%
수성구 192
 
2.4%
2층 152
 
1.9%
서구 137
 
1.7%
3층 126
 
1.6%
남구 108
 
1.3%
달성군 87
 
1.1%
Other values (1412) 4890
60.3%
2024-04-22T09:00:56.348902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7206
18.0%
구 3110
 
7.8%
대 1981
 
5.0%
동 1979
 
5.0%
시 1520
 
3.8%
역 1504
 
3.8%
광 1502
 
3.8%
로 1492
 
3.7%
) 1479
 
3.7%
( 1479
 
3.7%
Other values (250) 16690
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22998
57.6%
Space Separator 7206
 
18.0%
Decimal Number 5715
 
14.3%
Close Punctuation 1479
 
3.7%
Open Punctuation 1479
 
3.7%
Other Punctuation 834
 
2.1%
Dash Punctuation 211
 
0.5%
Uppercase Letter 19
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 3110
 
13.5%
대 1981
 
8.6%
동 1979
 
8.6%
시 1520
 
6.6%
역 1504
 
6.5%
광 1502
 
6.5%
로 1492
 
6.5%
층 729
 
3.2%
서 716
 
3.1%
달 636
 
2.8%
Other values (225) 7829
34.0%
Decimal Number
ValueCountFrequency (%)
1 1095
19.2%
2 987
17.3%
3 821
14.4%
5 540
9.4%
4 511
8.9%
0 384
 
6.7%
6 381
 
6.7%
9 350
 
6.1%
7 324
 
5.7%
8 322
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 9
47.4%
F 4
21.1%
A 2
 
10.5%
L 1
 
5.3%
M 1
 
5.3%
D 1
 
5.3%
J 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 829
99.4%
. 4
 
0.5%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
7206
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1479
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1479
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 211
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22998
57.6%
Common 16925
42.4%
Latin 19
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 3110
 
13.5%
대 1981
 
8.6%
동 1979
 
8.6%
시 1520
 
6.6%
역 1504
 
6.5%
광 1502
 
6.5%
로 1492
 
6.5%
층 729
 
3.2%
서 716
 
3.1%
달 636
 
2.8%
Other values (225) 7829
34.0%
Common
ValueCountFrequency (%)
7206
42.6%
) 1479
 
8.7%
( 1479
 
8.7%
1 1095
 
6.5%
2 987
 
5.8%
, 829
 
4.9%
3 821
 
4.9%
5 540
 
3.2%
4 511
 
3.0%
0 384
 
2.3%
Other values (8) 1594
 
9.4%
Latin
ValueCountFrequency (%)
B 9
47.4%
F 4
21.1%
A 2
 
10.5%
L 1
 
5.3%
M 1
 
5.3%
D 1
 
5.3%
J 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22998
57.6%
ASCII 16944
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7206
42.5%
) 1479
 
8.7%
( 1479
 
8.7%
1 1095
 
6.5%
2 987
 
5.8%
, 829
 
4.9%
3 821
 
4.8%
5 540
 
3.2%
4 511
 
3.0%
0 384
 
2.3%
Other values (15) 1613
 
9.5%
Hangul
ValueCountFrequency (%)
구 3110
 
13.5%
대 1981
 
8.6%
동 1979
 
8.6%
시 1520
 
6.6%
역 1504
 
6.5%
광 1502
 
6.5%
로 1492
 
6.5%
층 729
 
3.2%
서 716
 
3.1%
달 636
 
2.8%
Other values (225) 7829
34.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct409
Distinct (%)55.7%
Missing821
Missing (%)52.8%
Infinite0
Infinite (%)0.0%
Mean124892.29
Minimum41005
Maximum706853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2024-04-22T09:00:56.482315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41005
5-th percentile41106
Q141467.5
median42074
Q342742
95-th percentile704809.05
Maximum706853
Range665848
Interquartile range (IQR)1274.5

Descriptive statistics

Standard deviation219259.93
Coefficient of variation (CV)1.7555922
Kurtosis3.151425
Mean124892.29
Median Absolute Deviation (MAD)631
Skewness2.2677467
Sum91670940
Variance4.8074917 × 1010
MonotonicityNot monotonic
2024-04-22T09:00:56.600371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41423 21
 
1.4%
41544 8
 
0.5%
42274 8
 
0.5%
41443 7
 
0.5%
41034 7
 
0.5%
41569 7
 
0.5%
42196 6
 
0.4%
42737 6
 
0.4%
42614 6
 
0.4%
700411 6
 
0.4%
Other values (399) 652
41.9%
(Missing) 821
52.8%
ValueCountFrequency (%)
41005 1
 
0.1%
41026 3
0.2%
41029 1
 
0.1%
41034 7
0.5%
41044 1
 
0.1%
41047 1
 
0.1%
41049 2
 
0.1%
41050 1
 
0.1%
41065 2
 
0.1%
41069 2
 
0.1%
ValueCountFrequency (%)
706853 1
0.1%
706837 2
0.1%
706833 1
0.1%
706832 1
0.1%
706827 1
0.1%
706826 1
0.1%
706825 1
0.1%
706824 1
0.1%
706818 1
0.1%
706800 2
0.1%

사업장명
Text

Distinct1092
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
2024-04-22T09:00:56.855520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length6.014791
Min length2

Characters and Unicode

Total characters9353
Distinct characters481
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

Unique872 ?
Unique (%)56.1%

Sample

1st row원당구장
2nd row에쿠스당구장
3rd row대봉당구장
4th row삼송당구장
5th row동성로 당구클럽
ValueCountFrequency (%)
당구장 166
 
8.7%
당구클럽 133
 
6.9%
tbc당구클럽 21
 
1.1%
tbc당구장 14
 
0.7%
특실당구장 13
 
0.7%
큐당구장 13
 
0.7%
스카이당구장 10
 
0.5%
에이스당구장 10
 
0.5%
아카데미 10
 
0.5%
tbc 9
 
0.5%
Other values (1084) 1515
79.2%
2024-04-22T09:00:57.271119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 1503
16.1%
당 1481
15.8%
장 970
 
10.4%
클 483
 
5.2%
럽 481
 
5.1%
359
 
3.8%
스 207
 
2.2%
아 128
 
1.4%
리 100
 
1.1%
이 95
 
1.0%
Other values (471) 3546
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8423
90.1%
Uppercase Letter 434
 
4.6%
Space Separator 359
 
3.8%
Decimal Number 56
 
0.6%
Lowercase Letter 28
 
0.3%
Other Punctuation 27
 
0.3%
Open Punctuation 9
 
0.1%
Close Punctuation 9
 
0.1%
Dash Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1503
17.8%
당 1481
17.6%
장 970
 
11.5%
클 483
 
5.7%
럽 481
 
5.7%
스 207
 
2.5%
아 128
 
1.5%
리 100
 
1.2%
이 95
 
1.1%
드 70
 
0.8%
Other values (415) 2905
34.5%
Uppercase Letter
ValueCountFrequency (%)
B 74
17.1%
C 63
14.5%
T 56
12.9%
S 39
9.0%
K 30
 
6.9%
J 22
 
5.1%
O 20
 
4.6%
M 20
 
4.6%
P 18
 
4.1%
I 16
 
3.7%
Other values (14) 76
17.5%
Lowercase Letter
ValueCountFrequency (%)
k 4
14.3%
e 4
14.3%
a 3
10.7%
r 2
 
7.1%
s 2
 
7.1%
l 2
 
7.1%
i 2
 
7.1%
p 1
 
3.6%
u 1
 
3.6%
o 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 (%)
359
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8423
90.1%
Common 468
 
5.0%
Latin 462
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1503
17.8%
당 1481
17.6%
장 970
 
11.5%
클 483
 
5.7%
럽 481
 
5.7%
스 207
 
2.5%
아 128
 
1.5%
리 100
 
1.2%
이 95
 
1.1%
드 70
 
0.8%
Other values (415) 2905
34.5%
Latin
ValueCountFrequency (%)
B 74
16.0%
C 63
13.6%
T 56
12.1%
S 39
 
8.4%
K 30
 
6.5%
J 22
 
4.8%
O 20
 
4.3%
M 20
 
4.3%
P 18
 
3.9%
I 16
 
3.5%
Other values (30) 104
22.5%
Common
ValueCountFrequency (%)
359
76.7%
2 26
 
5.6%
. 15
 
3.2%
1 12
 
2.6%
& 9
 
1.9%
( 9
 
1.9%
) 9
 
1.9%
- 8
 
1.7%
5 6
 
1.3%
4 5
 
1.1%
Other values (6) 10
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8423
90.1%
ASCII 929
 
9.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 1503
17.8%
당 1481
17.6%
장 970
 
11.5%
클 483
 
5.7%
럽 481
 
5.7%
스 207
 
2.5%
아 128
 
1.5%
리 100
 
1.2%
이 95
 
1.1%
드 70
 
0.8%
Other values (415) 2905
34.5%
ASCII
ValueCountFrequency (%)
359
38.6%
B 74
 
8.0%
C 63
 
6.8%
T 56
 
6.0%
S 39
 
4.2%
K 30
 
3.2%
2 26
 
2.8%
J 22
 
2.4%
O 20
 
2.2%
M 20
 
2.2%
Other values (45) 220
23.7%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1555
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0145864 × 1013
Minimum2.0030226 × 1013
Maximum2.0220628 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2024-04-22T09:00:57.397496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030226 × 1013
5-th percentile2.0050127 × 1013
Q12.0101218 × 1013
median2.0160112 × 1013
Q32.0190907 × 1013
95-th percentile2.0211026 × 1013
Maximum2.0220628 × 1013
Range1.9040207 × 1011
Interquartile range (IQR)8.9688449 × 1010

Descriptive statistics

Standard deviation5.4020066 × 1010
Coefficient of variation (CV)0.002681447
Kurtosis-0.93405061
Mean2.0145864 × 1013
Median Absolute Deviation (MAD)4.0201061 × 1010
Skewness-0.50730412
Sum3.1326818 × 1016
Variance2.9181675 × 1021
MonotonicityNot monotonic
2024-04-22T09:00:57.530315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210106135556 1
 
0.1%
20121115151731 1
 
0.1%
20100601152602 1
 
0.1%
20160808092034 1
 
0.1%
20061201140756 1
 
0.1%
20210121105540 1
 
0.1%
20191126140221 1
 
0.1%
20120430092212 1
 
0.1%
20200428083159 1
 
0.1%
20070529150745 1
 
0.1%
Other values (1545) 1545
99.4%
ValueCountFrequency (%)
20030226102059 1
0.1%
20030226102727 1
0.1%
20030404174651 1
0.1%
20030410111255 1
0.1%
20030411103220 1
0.1%
20030417113745 1
0.1%
20030421151310 1
0.1%
20030520101448 1
0.1%
20030523155904 1
0.1%
20030602111723 1
0.1%
ValueCountFrequency (%)
20220628170741 1
0.1%
20220628101458 1
0.1%
20220627153353 1
0.1%
20220624142707 1
0.1%
20220620102106 1
0.1%
20220617142121 1
0.1%
20220617101615 1
0.1%
20220609150652 1
0.1%
20220609132159 1
0.1%
20220607161406 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
I
1040 
U
515 

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 1040
66.9%
U 515
33.1%

Length

2024-04-22T09:00:57.659198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:00:57.750975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1040
66.9%
u 515
33.1%

데이터갱신일자
Date

Distinct359
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
Minimum2018-08-31 23:59:59
Maximum2022-06-30 02:40:00
2024-04-22T09:00:57.857566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:00:57.988110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1555
Missing (%)100.0%
Memory size13.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1226
Distinct (%)80.1%
Missing25
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean342256.87
Minimum326316.83
Maximum356351.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2024-04-22T09:00:58.129685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326316.83
5-th percentile334127.64
Q1339145.49
median341895.24
Q3345943.19
95-th percentile352866.96
Maximum356351.62
Range30034.788
Interquartile range (IQR)6797.697

Descriptive statistics

Standard deviation5279.3877
Coefficient of variation (CV)0.01542522
Kurtosis0.072203087
Mean342256.87
Median Absolute Deviation (MAD)3438.8675
Skewness0.12971616
Sum5.2365302 × 108
Variance27871934
MonotonicityNot monotonic
2024-04-22T09:00:58.250839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
340319.472097 5
 
0.3%
339763.678525 4
 
0.3%
338240.458658 4
 
0.3%
334127.643645 4
 
0.3%
347783.13626 4
 
0.3%
340058.341412 4
 
0.3%
341806.290847 4
 
0.3%
339698.981909 3
 
0.2%
345141.264319 3
 
0.2%
335891.658253 3
 
0.2%
Other values (1216) 1492
95.9%
(Missing) 25
 
1.6%
ValueCountFrequency (%)
326316.829633 1
0.1%
328015.993727 2
0.1%
328307.68149 1
0.1%
329941.0 1
0.1%
330018.500706 1
0.1%
330046.077683 1
0.1%
330054.777651 1
0.1%
330063.03524 1
0.1%
330111.303556 1
0.1%
330200.771035 1
0.1%
ValueCountFrequency (%)
356351.617491 1
 
0.1%
356247.145225 1
 
0.1%
356109.591069 1
 
0.1%
355759.829285 1
 
0.1%
355738.134502 1
 
0.1%
355737.129429 1
 
0.1%
355736.057101 1
 
0.1%
355729.578668 3
0.2%
355671.833565 1
 
0.1%
355665.232375 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1226
Distinct (%)80.1%
Missing25
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean263511.46
Minimum240483.18
Maximum273573.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2024-04-22T09:00:58.690346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240483.18
5-th percentile257532.08
Q1261324.54
median263300.07
Q3265941.51
95-th percentile271447.55
Maximum273573.03
Range33089.854
Interquartile range (IQR)4616.9636

Descriptive statistics

Standard deviation4529.8255
Coefficient of variation (CV)0.017190241
Kurtosis4.1096112
Mean263511.46
Median Absolute Deviation (MAD)2177.486
Skewness-0.99220697
Sum4.0317254 × 108
Variance20519319
MonotonicityNot monotonic
2024-04-22T09:00:58.814133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264923.875002 5
 
0.3%
272190.882495 4
 
0.3%
263094.042737 4
 
0.3%
262155.282763 4
 
0.3%
267178.563806 4
 
0.3%
260383.014927 4
 
0.3%
263685.956304 4
 
0.3%
269725.86152 3
 
0.2%
266939.849709 3
 
0.2%
262449.655768 3
 
0.2%
Other values (1216) 1492
95.9%
(Missing) 25
 
1.6%
ValueCountFrequency (%)
240483.177406 2
0.1%
240491.096813 1
0.1%
244518.668328 1
0.1%
244534.0 1
0.1%
244558.0 1
0.1%
244641.607034 1
0.1%
244658.0 1
0.1%
244698.0 1
0.1%
244716.148763 1
0.1%
244735.480978 1
0.1%
ValueCountFrequency (%)
273573.031508 1
 
0.1%
273541.143414 3
0.2%
273506.093893 1
 
0.1%
273465.491746 1
 
0.1%
272899.885634 1
 
0.1%
272729.594573 2
0.1%
272695.123588 2
0.1%
272656.837766 1
 
0.1%
272656.031204 1
 
0.1%
272633.741088 1
 
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
당구장업
1555 

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 1555
100.0%

Length

2024-04-22T09:00:58.937619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:00:59.036416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 1555
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
사립
1555 

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 1555
100.0%

Length

2024-04-22T09:00:59.116525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:00:59.208547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1555
100.0%

보험가입여부코드
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
<NA>
1096 
0
458 
Y
 
1

Length

Max length4
Median length4
Mean length3.1144695
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> 1096
70.5%
0 458
29.5%
Y 1
 
0.1%

Length

2024-04-22T09:00:59.304901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:00:59.405838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1096
70.5%
0 458
29.5%
y 1
 
0.1%

지도자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
<NA>
1479 
0
 
75
1
 
1

Length

Max length4
Median length4
Mean length3.8533762
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1479
95.1%
0 75
 
4.8%
1 1
 
0.1%

Length

2024-04-22T09:00:59.510565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:00:59.611777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1479
95.1%
0 75
 
4.8%
1 1
 
0.1%

건축물동수
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
<NA>
1256 
1
232 
0
 
67

Length

Max length4
Median length4
Mean length3.4231511
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1256
80.8%
1 232
 
14.9%
0 67
 
4.3%

Length

2024-04-22T09:00:59.720172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:00:59.815733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1256
80.8%
1 232
 
14.9%
0 67
 
4.3%

건축물연면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct385
Distinct (%)83.5%
Missing1094
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean2587.4383
Minimum0
Maximum583286
Zeros51
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2024-04-22T09:00:59.923098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1362.82
median903.72
Q31499.26
95-th percentile3752.99
Maximum583286
Range583286
Interquartile range (IQR)1136.44

Descriptive statistics

Standard deviation27349.371
Coefficient of variation (CV)10.570057
Kurtosis444.71967
Mean2587.4383
Median Absolute Deviation (MAD)578.04
Skewness20.939925
Sum1192809
Variance7.479881 × 108
MonotonicityNot monotonic
2024-04-22T09:01:00.052203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 51
 
3.3%
1065.09 3
 
0.2%
1010.0 3
 
0.2%
5373.86 2
 
0.1%
903.72 2
 
0.1%
286.56 2
 
0.1%
1237.59 2
 
0.1%
1569.05 2
 
0.1%
2271.39 2
 
0.1%
2005.62 2
 
0.1%
Other values (375) 390
 
25.1%
(Missing) 1094
70.4%
ValueCountFrequency (%)
0.0 51
3.3%
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 size12.3 KiB
<NA>
1480 
0
 
75

Length

Max length4
Median length4
Mean length3.8553055
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1480
95.2%
0 75
 
4.8%

Length

2024-04-22T09:01:00.184164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:01:00.292002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1480
95.2%
0 75
 
4.8%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1555
Missing (%)100.0%
Memory size13.8 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1555
Missing (%)100.0%
Memory size13.8 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
01당구장업10_32_01_P3410000CDFH330108201400000120140616<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>700835대구광역시 중구 남산동 609-4 3층대구광역시 중구 명덕로35길 99, 3층 (남산동)41969원당구장20210106135556U2021-01-08 02:40:00.0<NA>343517.568849263484.130401당구장업사립<NA><NA><NA>938.26<NA><NA><NA>
12당구장업10_32_01_P3410000CDFH330108201500000120150102<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4045-0991<NA>700847대구광역시 중구 동인동4가 191번지 2층대구광역시 중구 국채보상로140길 13, 2층 (동인동4가)41945에쿠스당구장20190306090145U2019-03-08 02:40:00.0<NA>345020.533281264307.377889당구장업사립<NA><NA><NA>269.01<NA><NA><NA>
23당구장업10_32_01_P3410000CDFH330108201900000120190917<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 55-158번지대구광역시 중구 대봉로 234, 2층 (대봉동)41954대봉당구장20190930200515U2019-10-02 02:40:00.0<NA>344566.928725263329.604083당구장업사립<NA><NA><NA>455.15<NA><NA><NA>
34당구장업10_32_01_P3410000CDFH330108202100000220211119<NA>1영업/정상13영업중<NA><NA><NA><NA>0532570006<NA><NA>대구광역시 중구 포정동 51-1대구광역시 중구 경상감영길 94, 2층 (포정동)41918삼송당구장20211119140004I2021-11-21 00:22:44.0<NA>343763.193192264661.192007당구장업사립<NA>000.00<NA><NA>
45당구장업10_32_01_P3410000CDFH330108201800000220181205<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 22-9번지대구광역시 중구 동성로5길 75 (삼덕동1가)41941동성로 당구클럽20181205094824I2018-12-07 02:20:08.0<NA>344317.257584264199.131562당구장업사립<NA><NA><NA><NA><NA><NA><NA>
56당구장업10_32_01_P3410000CDFH330108202100000120210107<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 55-94대구광역시 중구 대봉로 238, 2층 (대봉동)41954에이스 당구클럽20210107172459I2021-01-09 00:23:05.0<NA>344559.243778263362.744892당구장업사립<NA><NA><NA>1414.59<NA><NA><NA>
67당구장업10_32_01_P3410000CDFH330108202200000120220609<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 전동 71대구광역시 중구 중앙대로81길 18, 3층 (전동)41935종로빌리아드클럽20220609150652I2022-06-11 00:22:30.0<NA>343761.638079264469.117162당구장업사립<NA>000.00<NA><NA>
78당구장업10_32_01_P3410000CDFH330108200900000920091221<NA>3폐업34영업장폐쇄20190603<NA><NA><NA>422-2623<NA>700111대구광역시 중구 태평로1가 21-5번지 4층대구광역시 중구 태평로 204, 4층 (태평로1가)41910현대당구장20190614093312U2019-06-16 02:40:00.0<NA>344408.347973264922.846515당구장업사립<NA><NA><NA>2813.5<NA><NA><NA>
89당구장업10_32_01_P3410000CDFH330108200000000220000309<NA>4취소/말소/만료/정지/중지35직권말소20090618<NA><NA><NA>427-6030<NA>700413대구광역시 중구 삼덕동3가 140-1번지<NA><NA>드림당구장20090623175557I2018-08-31 23:59:59.0<NA>345402.080819264059.128198당구장업사립<NA><NA><NA><NA><NA><NA><NA>
910당구장업10_32_01_P3410000CDFH330108200100000220011030<NA>4취소/말소/만료/정지/중지35직권말소20090409<NA><NA><NA>257-8685<NA>700060대구광역시 중구 남일동 53-5번지<NA><NA>은일빌리아드20090413165428I2018-08-31 23:59:59.0<NA>343845.986598264521.709376당구장업사립0<NA><NA>157.89<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
15451546당구장업10_32_01_P3480000CDFH330108201100000120110705<NA>3폐업3폐업20190729<NA><NA><NA>614-1446<NA>711857대구광역시 달성군 논공읍 북리 803-204번지 2층대구광역시 달성군 논공읍 논공로 738 (2층)<NA>국가대표당구장20190729113257U2019-07-31 02:40:00.0<NA>330778.558899248729.207526당구장업사립<NA><NA><NA><NA><NA><NA><NA>
15461547당구장업10_32_01_P3480000CDFH330108201200000120120104<NA>3폐업3폐업20180724<NA><NA><NA><NA><NA>711891대구광역시 달성군 구지면 응암리 1189-1번지대구광역시 달성군 구지면 과학마을로 3043009W당구장20180912140450U2018-09-12 23:59:59.0<NA>328015.993727240483.177406당구장업사립<NA><NA><NA><NA><NA><NA><NA>
15471548당구장업10_32_01_P3480000CDFH330108201300000220130418<NA>3폐업3폐업20181227<NA><NA><NA><NA><NA>711872대구광역시 달성군 현풍읍 성하리 402-6번지대구광역시 달성군 현풍읍 현풍중앙로 11143000J당구장20181227151347U2018-12-29 02:40:00.0<NA>330307.296209245252.052382당구장업사립<NA><NA>11293.63<NA><NA><NA>
15481549당구장업10_32_01_P3480000CDFH330108200900000720090430<NA>3폐업3폐업20190729<NA><NA><NA>053-611-2740<NA>711857대구광역시 달성군 논공읍 북리 803-146번지대구광역시 달성군 논공읍 논공로9길 87<NA>무한도전 당구클럽20190729113147U2019-07-31 02:40:00.0<NA>330534.621455248689.520977당구장업사립Y<NA>1775.24<NA><NA><NA>
15491550당구장업10_32_01_P3480000CDFH330108201300000420130924<NA>3폐업3폐업20190729<NA><NA><NA><NA><NA>711812대구광역시 달성군 다사읍 매곡리 491번지대구광역시 달성군 다사읍 다사역로 3942908동영 당구장20190729113341U2019-07-31 02:40:00.0<NA>331597.649165263824.496118당구장업사립<NA><NA>1273.02<NA><NA><NA>
15501551당구장업10_32_01_P3480000CDFH330108201500000120151118<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 부리 433-2 5층대구광역시 달성군 현풍읍 비슬로134길 107, 5층42999현풍당구클럽20220224091851U2022-02-26 02:40:00.0<NA>330724.0245028.0당구장업사립<NA><NA><NA><NA><NA><NA><NA>
15511552당구장업10_32_01_P3480000CDFH330108201500000220151217<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 원교리 123번지 2층대구광역시 달성군 현풍면 비슬로 594, 2층43004123당구클럽20151217161826I2018-08-31 23:59:59.0<NA>330506.679186244518.668328당구장업사립<NA><NA><NA><NA><NA><NA><NA>
15521553당구장업10_32_01_P3480000CDFH330108201600000120160118<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 중리 489-2번지 1동 504호대구광역시 달성군 현풍면 테크노상업로 50, 1동 5층 504호43017테크노당구클럽20160118125143I2018-08-31 23:59:59.0<NA>331533.977828244641.607034당구장업사립<NA><NA><NA><NA><NA><NA><NA>
15531554당구장업10_32_01_P3480000CDFH330108201600000220160224<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 당구클럽20200403164654U2020-04-05 02:40:00.0<NA>331727.700751263543.593761당구장업사립<NA><NA><NA><NA><NA><NA><NA>
15541555당구장업10_32_01_P3480000CDFH330108201600000320160509<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 서재리 172-1번지 4층대구광역시 달성군 다사읍 서재로 134, 4층42925한큐당구장20200301120658U2020-03-03 02:40:00.0<NA>335199.024546264947.758602당구장업사립<NA><NA><NA><NA><NA><NA><NA>