Overview

Dataset statistics

Number of variables37
Number of observations1550
Missing cells12998
Missing cells (%)22.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory483.0 KiB
Average record size in memory319.1 B

Variable types

Numeric10
Categorical15
Text5
Unsupported6
DateTime1

Dataset

Description22년04월_6270000_대구광역시_10_32_01_P_당구장업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092919&dataSetDetailId=DDI_0000092995&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 (84.0%)Imbalance
회원모집총인원 is highly imbalanced (75.5%)Imbalance
인허가취소일자 has 1550 (100.0%) missing valuesMissing
폐업일자 has 446 (28.8%) missing valuesMissing
재개업일자 has 1550 (100.0%) missing valuesMissing
소재지전화 has 665 (42.9%) missing valuesMissing
소재지면적 has 1550 (100.0%) missing valuesMissing
소재지우편번호 has 508 (32.8%) missing valuesMissing
소재지전체주소 has 52 (3.4%) missing valuesMissing
도로명전체주소 has 57 (3.7%) missing valuesMissing
도로명우편번호 has 821 (53.0%) missing valuesMissing
업태구분명 has 1550 (100.0%) missing valuesMissing
좌표정보(X) has 25 (1.6%) missing valuesMissing
좌표정보(Y) has 25 (1.6%) missing valuesMissing
건축물연면적 has 1099 (70.9%) missing valuesMissing
세부업종명 has 1550 (100.0%) missing valuesMissing
법인명 has 1550 (100.0%) missing valuesMissing
건축물연면적 is highly skewed (γ1 = 20.71293307)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 42 (2.7%) zerosZeros

Reproduction

Analysis started2023-12-10 18:50:14.398838
Analysis finished2023-12-10 18:50:15.821665
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1550
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean775.5
Minimum1
Maximum1550
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-11T03:50:15.931526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile78.45
Q1388.25
median775.5
Q31162.75
95-th percentile1472.55
Maximum1550
Range1549
Interquartile range (IQR)774.5

Descriptive statistics

Standard deviation447.59077
Coefficient of variation (CV)0.57716412
Kurtosis-1.2
Mean775.5
Median Absolute Deviation (MAD)387.5
Skewness0
Sum1202025
Variance200337.5
MonotonicityStrictly increasing
2023-12-11T03:50:16.173381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1067 1
 
0.1%
1041 1
 
0.1%
1040 1
 
0.1%
1039 1
 
0.1%
1038 1
 
0.1%
1037 1
 
0.1%
1036 1
 
0.1%
1035 1
 
0.1%
1034 1
 
0.1%
Other values (1540) 1540
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 (%)
1550 1
0.1%
1549 1
0.1%
1548 1
0.1%
1547 1
0.1%
1546 1
0.1%
1545 1
0.1%
1544 1
0.1%
1543 1
0.1%
1542 1
0.1%
1541 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
당구장업
1550 

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 1550
100.0%

Length

2023-12-11T03:50:16.426967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:16.568671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 1550
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
10_32_01_P
1550 

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 1550
100.0%

Length

2023-12-11T03:50:16.730962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:16.891364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_32_01_p 1550
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3449903.2
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-11T03:50:17.019533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3414500
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation20482.96
Coefficient of variation (CV)0.0059372563
Kurtosis-1.0325127
Mean3449903.2
Median Absolute Deviation (MAD)20000
Skewness-0.4179445
Sum5.34735 × 109
Variance4.1955164 × 108
MonotonicityIncreasing
2023-12-11T03:50:17.221750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 410
26.5%
3450000 310
20.0%
3420000 209
13.5%
3460000 198
12.8%
3430000 137
 
8.8%
3440000 111
 
7.2%
3480000 97
 
6.3%
3410000 78
 
5.0%
ValueCountFrequency (%)
3410000 78
 
5.0%
3420000 209
13.5%
3430000 137
 
8.8%
3440000 111
 
7.2%
3450000 310
20.0%
3460000 198
12.8%
3470000 410
26.5%
3480000 97
 
6.3%
ValueCountFrequency (%)
3480000 97
 
6.3%
3470000 410
26.5%
3460000 198
12.8%
3450000 310
20.0%
3440000 111
 
7.2%
3430000 137
 
8.8%
3420000 209
13.5%
3410000 78
 
5.0%

관리번호
Text

Distinct492
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
2023-12-11T03:50:17.533348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters31000
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

Unique166 ?
Unique (%)10.7%

Sample

1st rowCDFH3301082014000001
2nd rowCDFH3301082015000001
3rd rowCDFH3301082019000001
4th rowCDFH3301082021000002
5th rowCDFH3301082018000002
ValueCountFrequency (%)
cdfh3301082009000007 8
 
0.5%
cdfh3301082006000002 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) 1470
94.8%
2023-12-11T03:50:18.037220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12779
41.2%
3 3494
 
11.3%
1 2872
 
9.3%
8 1923
 
6.2%
2 1903
 
6.1%
C 1550
 
5.0%
D 1550
 
5.0%
F 1550
 
5.0%
H 1550
 
5.0%
9 565
 
1.8%
Other values (4) 1264
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24800
80.0%
Uppercase Letter 6200
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12779
51.5%
3 3494
 
14.1%
1 2872
 
11.6%
8 1923
 
7.8%
2 1903
 
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 1550
25.0%
D 1550
25.0%
F 1550
25.0%
H 1550
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24800
80.0%
Latin 6200
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12779
51.5%
3 3494
 
14.1%
1 2872
 
11.6%
8 1923
 
7.8%
2 1903
 
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 1550
25.0%
D 1550
25.0%
F 1550
25.0%
H 1550
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12779
41.2%
3 3494
 
11.3%
1 2872
 
9.3%
8 1923
 
6.2%
2 1903
 
6.1%
C 1550
 
5.0%
D 1550
 
5.0%
F 1550
 
5.0%
H 1550
 
5.0%
9 565
 
1.8%
Other values (4) 1264
 
4.1%

인허가일자
Real number (ℝ)

Distinct1266
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20079599
Minimum19810108
Maximum20220419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-11T03:50:18.255996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19810108
5-th percentile19961129
Q120031003
median20080404
Q320120808
95-th percentile20190408
Maximum20220419
Range410311
Interquartile range (IQR)89805

Descriptive statistics

Standard deviation66334.358
Coefficient of variation (CV)0.0033035698
Kurtosis0.32311565
Mean20079599
Median Absolute Deviation (MAD)49184
Skewness-0.23282753
Sum3.1123379 × 1010
Variance4.4002471 × 109
MonotonicityNot monotonic
2023-12-11T03:50:18.472906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070403 6
 
0.4%
20080327 5
 
0.3%
20070810 5
 
0.3%
20090630 4
 
0.3%
20070405 4
 
0.3%
20080828 4
 
0.3%
20090224 4
 
0.3%
20070410 4
 
0.3%
20070430 4
 
0.3%
20070928 4
 
0.3%
Other values (1256) 1506
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 (%)
20220419 1
0.1%
20220308 1
0.1%
20220225 1
0.1%
20220120 1
0.1%
20220117 1
0.1%
20211208 1
0.1%
20211119 1
0.1%
20211027 1
0.1%
20210924 1
0.1%
20210628 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1550
Missing (%)100.0%
Memory size13.8 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
3
977 
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 (%)
3 977
63.0%
1 438
28.3%
4 132
 
8.5%
2 3
 
0.2%

Length

2023-12-11T03:50:18.674057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:18.826568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 977
63.0%
1 438
28.3%
4 132
 
8.5%
2 3
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
폐업
977 
영업/정상
438 
취소/말소/만료/정지/중지
132 
휴업
 
3

Length

Max length14
Median length2
Mean length3.8696774
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 977
63.0%
영업/정상 438
28.3%
취소/말소/만료/정지/중지 132
 
8.5%
휴업 3
 
0.2%

Length

2023-12-11T03:50:19.004251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:19.173692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 977
63.0%
영업/정상 438
28.3%
취소/말소/만료/정지/중지 132
 
8.5%
휴업 3
 
0.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
3
976 
13
438 
35
132 
2
 
3
34
 
1

Length

Max length2
Median length1
Mean length1.3683871
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 976
63.0%
13 438
28.3%
35 132
 
8.5%
2 3
 
0.2%
34 1
 
0.1%

Length

2023-12-11T03:50:19.356966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:19.546349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 976
63.0%
13 438
28.3%
35 132
 
8.5%
2 3
 
0.2%
34 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
폐업
976 
영업중
438 
직권말소
132 
휴업
 
3
영업장폐쇄
 
1

Length

Max length5
Median length2
Mean length2.4548387
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 976
63.0%
영업중 438
28.3%
직권말소 132
 
8.5%
휴업 3
 
0.2%
영업장폐쇄 1
 
0.1%

Length

2023-12-11T03:50:19.743240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:19.954345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 976
63.0%
영업중 438
28.3%
직권말소 132
 
8.5%
휴업 3
 
0.2%
영업장폐쇄 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct837
Distinct (%)75.8%
Missing446
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean20127117
Minimum19970307
Maximum20220329
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-11T03:50:20.213045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970307
5-th percentile20040321
Q120090204
median20130220
Q320180605
95-th percentile20201111
Maximum20220329
Range250022
Interquartile range (IQR)90401.5

Descriptive statistics

Standard deviation53808.642
Coefficient of variation (CV)0.0026734401
Kurtosis-1.0426107
Mean20127117
Median Absolute Deviation (MAD)49556.5
Skewness-0.15313688
Sum2.2220337 × 1010
Variance2.8953699 × 109
MonotonicityNot monotonic
2023-12-11T03:50:20.491341image/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 (827) 992
64.0%
(Missing) 446
28.8%
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 (%)
20220329 2
0.1%
20220324 1
 
0.1%
20220318 1
 
0.1%
20220310 3
0.2%
20220224 1
 
0.1%
20220216 1
 
0.1%
20220211 1
 
0.1%
20220204 1
 
0.1%
20220113 1
 
0.1%
20220104 1
 
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
1547 
20200601
 
1
20090226
 
1
20210701
 
1

Length

Max length8
Median length4
Mean length4.0077419
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> 1547
99.8%
20200601 1
 
0.1%
20090226 1
 
0.1%
20210701 1
 
0.1%

Length

2023-12-11T03:50:20.726526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:20.918021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1547
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 size12.2 KiB
<NA>
1547 
20241231
 
1
20090525
 
1
20211231
 
1

Length

Max length8
Median length4
Mean length4.0077419
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> 1547
99.8%
20241231 1
 
0.1%
20090525 1
 
0.1%
20211231 1
 
0.1%

Length

2023-12-11T03:50:21.117137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:21.300139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1547
99.8%
20241231 1
 
0.1%
20090525 1
 
0.1%
20211231 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1550
Missing (%)100.0%
Memory size13.8 KiB

소재지전화
Text

MISSING 

Distinct861
Distinct (%)97.3%
Missing665
Missing (%)42.9%
Memory size12.2 KiB
2023-12-11T03:50:21.694457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.7514124
Min length7

Characters and Unicode

Total characters8630
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%
426-6403 2
 
0.2%
323-1979 2
 
0.2%
624-7891 2
 
0.2%
Other values (851) 863
97.5%
2023-12-11T03:50:22.310694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1237
14.3%
5 1214
14.1%
3 1044
12.1%
0 863
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 7386
85.6%
Dash Punctuation 1237
 
14.3%
Close Punctuation 6
 
0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1214
16.4%
3 1044
14.1%
0 863
11.7%
9 685
9.3%
2 676
9.2%
6 635
8.6%
7 616
8.3%
8 579
7.8%
1 549
7.4%
4 525
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 1237
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8630
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1237
14.3%
5 1214
14.1%
3 1044
12.1%
0 863
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 8630
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1237
14.3%
5 1214
14.1%
3 1044
12.1%
0 863
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 

Missing1550
Missing (%)100.0%
Memory size13.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct345
Distinct (%)33.1%
Missing508
Missing (%)32.8%
Infinite0
Infinite (%)0.0%
Mean704393.01
Minimum700010
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-11T03:50:22.565867image/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
2023-12-11T03:50:22.814410image/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
57.8%
(Missing) 508
32.8%
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 

Distinct1381
Distinct (%)92.2%
Missing52
Missing (%)3.4%
Memory size12.2 KiB
2023-12-11T03:50:23.378659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length23.594126
Min length14

Characters and Unicode

Total characters35344
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

Unique1273 ?
Unique (%)85.0%

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 1498
22.1%
달서구 369
 
5.4%
북구 310
 
4.6%
동구 209
 
3.1%
수성구 198
 
2.9%
2층 170
 
2.5%
3층 169
 
2.5%
서구 130
 
1.9%
남구 111
 
1.6%
달성군 93
 
1.4%
Other values (1561) 3532
52.0%
2023-12-11T03:50:24.211213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6767
19.1%
구 2924
 
8.3%
동 1717
 
4.9%
대 1644
 
4.7%
1 1592
 
4.5%
시 1507
 
4.3%
광 1500
 
4.2%
역 1498
 
4.2%
지 1394
 
3.9%
- 1310
 
3.7%
Other values (204) 13491
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19643
55.6%
Decimal Number 7411
 
21.0%
Space Separator 6767
 
19.1%
Dash Punctuation 1310
 
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 2924
14.9%
동 1717
 
8.7%
대 1644
 
8.4%
시 1507
 
7.7%
광 1500
 
7.6%
역 1498
 
7.6%
지 1394
 
7.1%
번 1276
 
6.5%
층 538
 
2.7%
서 530
 
2.7%
Other values (180) 5115
26.0%
Decimal Number
ValueCountFrequency (%)
1 1592
21.5%
2 1106
14.9%
3 930
12.5%
4 683
9.2%
5 611
 
8.2%
0 572
 
7.7%
6 500
 
6.7%
7 491
 
6.6%
8 463
 
6.2%
9 463
 
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%
J 1
 
5.6%
D 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 6
54.5%
. 4
36.4%
/ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
6767
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1310
100.0%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19643
55.6%
Common 15683
44.4%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2924
14.9%
동 1717
 
8.7%
대 1644
 
8.4%
시 1507
 
7.7%
광 1500
 
7.6%
역 1498
 
7.6%
지 1394
 
7.1%
번 1276
 
6.5%
층 538
 
2.7%
서 530
 
2.7%
Other values (180) 5115
26.0%
Common
ValueCountFrequency (%)
6767
43.1%
1 1592
 
10.2%
- 1310
 
8.4%
2 1106
 
7.1%
3 930
 
5.9%
4 683
 
4.4%
5 611
 
3.9%
0 572
 
3.6%
6 500
 
3.2%
7 491
 
3.1%
Other values (7) 1121
 
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 19643
55.6%
ASCII 15701
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6767
43.1%
1 1592
 
10.1%
- 1310
 
8.3%
2 1106
 
7.0%
3 930
 
5.9%
4 683
 
4.4%
5 611
 
3.9%
0 572
 
3.6%
6 500
 
3.2%
7 491
 
3.1%
Other values (14) 1139
 
7.3%
Hangul
ValueCountFrequency (%)
구 2924
14.9%
동 1717
 
8.7%
대 1644
 
8.4%
시 1507
 
7.7%
광 1500
 
7.6%
역 1498
 
7.6%
지 1394
 
7.1%
번 1276
 
6.5%
층 538
 
2.7%
서 530
 
2.7%
Other values (180) 5115
26.0%

도로명전체주소
Text

MISSING 

Distinct1413
Distinct (%)94.6%
Missing57
Missing (%)3.7%
Memory size12.2 KiB
2023-12-11T03:50:24.856979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length46
Mean length26.660415
Min length20

Characters and Unicode

Total characters39804
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

Unique1337 ?
Unique (%)89.6%

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 1493
 
18.5%
달서구 405
 
5.0%
북구 307
 
3.8%
동구 205
 
2.5%
수성구 192
 
2.4%
2층 151
 
1.9%
서구 136
 
1.7%
3층 123
 
1.5%
남구 108
 
1.3%
달성군 86
 
1.1%
Other values (1409) 4873
60.3%
2023-12-11T03:50:26.117964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7183
18.0%
구 3100
 
7.8%
대 1974
 
5.0%
동 1974
 
5.0%
시 1515
 
3.8%
역 1499
 
3.8%
광 1497
 
3.8%
로 1487
 
3.7%
) 1475
 
3.7%
( 1475
 
3.7%
Other values (250) 16625
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22920
57.6%
Space Separator 7183
 
18.0%
Decimal Number 5691
 
14.3%
Close Punctuation 1475
 
3.7%
Open Punctuation 1475
 
3.7%
Other Punctuation 829
 
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 3100
 
13.5%
대 1974
 
8.6%
동 1974
 
8.6%
시 1515
 
6.6%
역 1499
 
6.5%
광 1497
 
6.5%
로 1487
 
6.5%
층 724
 
3.2%
서 714
 
3.1%
달 633
 
2.8%
Other values (225) 7803
34.0%
Decimal Number
ValueCountFrequency (%)
1 1090
19.2%
2 983
17.3%
3 817
14.4%
5 540
9.5%
4 510
9.0%
0 383
 
6.7%
6 380
 
6.7%
9 349
 
6.1%
7 321
 
5.6%
8 318
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 9
47.4%
F 4
21.1%
A 2
 
10.5%
M 1
 
5.3%
L 1
 
5.3%
J 1
 
5.3%
D 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 824
99.4%
. 4
 
0.5%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
7183
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1475
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1475
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 211
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22920
57.6%
Common 16865
42.4%
Latin 19
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 3100
 
13.5%
대 1974
 
8.6%
동 1974
 
8.6%
시 1515
 
6.6%
역 1499
 
6.5%
광 1497
 
6.5%
로 1487
 
6.5%
층 724
 
3.2%
서 714
 
3.1%
달 633
 
2.8%
Other values (225) 7803
34.0%
Common
ValueCountFrequency (%)
7183
42.6%
) 1475
 
8.7%
( 1475
 
8.7%
1 1090
 
6.5%
2 983
 
5.8%
, 824
 
4.9%
3 817
 
4.8%
5 540
 
3.2%
4 510
 
3.0%
0 383
 
2.3%
Other values (8) 1585
 
9.4%
Latin
ValueCountFrequency (%)
B 9
47.4%
F 4
21.1%
A 2
 
10.5%
M 1
 
5.3%
L 1
 
5.3%
J 1
 
5.3%
D 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22920
57.6%
ASCII 16884
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7183
42.5%
) 1475
 
8.7%
( 1475
 
8.7%
1 1090
 
6.5%
2 983
 
5.8%
, 824
 
4.9%
3 817
 
4.8%
5 540
 
3.2%
4 510
 
3.0%
0 383
 
2.3%
Other values (15) 1604
 
9.5%
Hangul
ValueCountFrequency (%)
구 3100
 
13.5%
대 1974
 
8.6%
동 1974
 
8.6%
시 1515
 
6.6%
역 1499
 
6.5%
광 1497
 
6.5%
로 1487
 
6.5%
층 724
 
3.2%
서 714
 
3.1%
달 633
 
2.8%
Other values (225) 7803
34.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct408
Distinct (%)56.0%
Missing821
Missing (%)53.0%
Infinite0
Infinite (%)0.0%
Mean125460.09
Minimum41005
Maximum706853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-11T03:50:26.395479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41005
5-th percentile41106
Q141467
median42078
Q342742
95-th percentile704809.8
Maximum706853
Range665848
Interquartile range (IQR)1275

Descriptive statistics

Standard deviation219903.86
Coefficient of variation (CV)1.7527794
Kurtosis3.0980382
Mean125460.09
Median Absolute Deviation (MAD)633
Skewness2.2559648
Sum91460405
Variance4.8357707 × 1010
MonotonicityNot monotonic
2023-12-11T03:50:26.653978image/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%
41034 7
 
0.5%
41569 7
 
0.5%
41443 7
 
0.5%
42614 6
 
0.4%
41086 6
 
0.4%
42196 6
 
0.4%
42197 6
 
0.4%
Other values (398) 647
41.7%
(Missing) 821
53.0%
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

Distinct1087
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
2023-12-11T03:50:27.142855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length6.0122581
Min length2

Characters and Unicode

Total characters9319
Distinct characters480
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

Unique867 ?
Unique (%)55.9%

Sample

1st row원당구장
2nd row에쿠스당구장
3rd row대봉당구장
4th row삼송당구장
5th row동성로 당구클럽
ValueCountFrequency (%)
당구장 164
 
8.6%
당구클럽 132
 
6.9%
tbc당구클럽 21
 
1.1%
tbc당구장 14
 
0.7%
특실당구장 13
 
0.7%
큐당구장 13
 
0.7%
아카데미 11
 
0.6%
스카이당구장 10
 
0.5%
에이스당구장 10
 
0.5%
tbc 9
 
0.5%
Other values (1079) 1509
79.2%
2023-12-11T03:50:28.081001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 1499
16.1%
당 1477
15.8%
장 967
 
10.4%
클 480
 
5.2%
럽 478
 
5.1%
356
 
3.8%
스 207
 
2.2%
아 127
 
1.4%
리 97
 
1.0%
이 95
 
1.0%
Other values (470) 3536
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8392
90.1%
Uppercase Letter 434
 
4.7%
Space Separator 356
 
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 1499
17.9%
당 1477
17.6%
장 967
 
11.5%
클 480
 
5.7%
럽 478
 
5.7%
스 207
 
2.5%
아 127
 
1.5%
리 97
 
1.2%
이 95
 
1.1%
드 69
 
0.8%
Other values (414) 2896
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%
M 20
 
4.6%
O 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%
i 2
 
7.1%
l 2
 
7.1%
s 2
 
7.1%
r 2
 
7.1%
b 1
 
3.6%
p 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 (%)
356
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 8392
90.1%
Common 465
 
5.0%
Latin 462
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1499
17.9%
당 1477
17.6%
장 967
 
11.5%
클 480
 
5.7%
럽 478
 
5.7%
스 207
 
2.5%
아 127
 
1.5%
리 97
 
1.2%
이 95
 
1.1%
드 69
 
0.8%
Other values (414) 2896
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%
M 20
 
4.3%
O 20
 
4.3%
P 18
 
3.9%
I 16
 
3.5%
Other values (30) 104
22.5%
Common
ValueCountFrequency (%)
356
76.6%
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
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8392
90.1%
ASCII 926
 
9.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 1499
17.9%
당 1477
17.6%
장 967
 
11.5%
클 480
 
5.7%
럽 478
 
5.7%
스 207
 
2.5%
아 127
 
1.5%
리 97
 
1.2%
이 95
 
1.1%
드 69
 
0.8%
Other values (414) 2896
34.5%
ASCII
ValueCountFrequency (%)
356
38.4%
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%
M 20
 
2.2%
O 20
 
2.2%
Other values (45) 220
23.8%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1550
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0145321 × 1013
Minimum2.0030226 × 1013
Maximum2.0220422 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-11T03:50:28.364085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030226 × 1013
5-th percentile2.0050122 × 1013
Q12.0101208 × 1013
median2.0151223 × 1013
Q32.0190816 × 1013
95-th percentile2.0210928 × 1013
Maximum2.0220422 × 1013
Range1.9019601 × 1011
Interquartile range (IQR)8.9607703 × 1010

Descriptive statistics

Standard deviation5.3778761 × 1010
Coefficient of variation (CV)0.002669541
Kurtosis-0.93346833
Mean2.0145321 × 1013
Median Absolute Deviation (MAD)4.0515543 × 1010
Skewness-0.51566448
Sum3.1225248 × 1016
Variance2.8921552 × 1021
MonotonicityNot monotonic
2023-12-11T03:50:28.738148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210106135556 1
 
0.1%
20130222143930 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%
20190418161441 1
 
0.1%
Other values (1540) 1540
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 (%)
20220422111453 1
0.1%
20220419101129 1
0.1%
20220413194204 1
0.1%
20220413080956 1
0.1%
20220330134137 1
0.1%
20220330134123 1
0.1%
20220330091844 1
0.1%
20220329153438 1
0.1%
20220329104756 1
0.1%
20220324140218 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
I
1038 
U
512 

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 1038
67.0%
U 512
33.0%

Length

2023-12-11T03:50:29.022828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:29.188270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1038
67.0%
u 512
33.0%

데이터갱신일자
Date

Distinct350
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-04-24 02:40:00
2023-12-11T03:50:29.401546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:50:29.652337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1550
Missing (%)100.0%
Memory size13.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1222
Distinct (%)80.1%
Missing25
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean342260.82
Minimum326316.83
Maximum356351.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-11T03:50:29.906313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326316.83
5-th percentile334127.64
Q1339145.89
median341905.53
Q3345946.83
95-th percentile352898.51
Maximum356351.62
Range30034.788
Interquartile range (IQR)6800.9389

Descriptive statistics

Standard deviation5283.8636
Coefficient of variation (CV)0.01543812
Kurtosis0.070132161
Mean342260.82
Median Absolute Deviation (MAD)3425.2293
Skewness0.12852055
Sum5.2194776 × 108
Variance27919214
MonotonicityNot monotonic
2023-12-11T03:50:30.148261image/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%
341806.290847 4
 
0.3%
340058.341412 4
 
0.3%
347783.13626 4
 
0.3%
334127.643645 4
 
0.3%
347937.388222 3
 
0.2%
354187.632432 3
 
0.2%
348063.902968 3
 
0.2%
346113.963474 3
 
0.2%
Other values (1212) 1488
96.0%
(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 

Distinct1222
Distinct (%)80.1%
Missing25
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean263512.78
Minimum240483.18
Maximum273573.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-11T03:50:30.409084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240483.18
5-th percentile257532.06
Q1261324.37
median263299.11
Q3265956.25
95-th percentile271453.85
Maximum273573.03
Range33089.854
Interquartile range (IQR)4631.8796

Descriptive statistics

Standard deviation4534.1463
Coefficient of variation (CV)0.017206552
Kurtosis4.1050212
Mean263512.78
Median Absolute Deviation (MAD)2179.9802
Skewness-0.99212003
Sum4.0185699 × 108
Variance20558483
MonotonicityNot monotonic
2023-12-11T03:50:30.661246image/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%
263685.956304 4
 
0.3%
260383.014927 4
 
0.3%
267178.563806 4
 
0.3%
262155.282763 4
 
0.3%
259367.515935 3
 
0.2%
261327.018181 3
 
0.2%
259264.535727 3
 
0.2%
265901.139558 3
 
0.2%
Other values (1212) 1488
96.0%
(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 size12.2 KiB
당구장업
1550 

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 1550
100.0%

Length

2023-12-11T03:50:30.882983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:31.036587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 1550
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
사립
1550 

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 1550
100.0%

Length

2023-12-11T03:50:31.195472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:31.341360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1550
100.0%

보험가입여부코드
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
1089 
0
460 
Y
 
1

Length

Max length4
Median length4
Mean length3.1077419
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> 1089
70.3%
0 460
29.7%
Y 1
 
0.1%

Length

2023-12-11T03:50:31.516403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:31.701883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1089
70.3%
0 460
29.7%
y 1
 
0.1%

지도자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
1486 
0
 
63
1
 
1

Length

Max length4
Median length4
Mean length3.876129
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> 1486
95.9%
0 63
 
4.1%
1 1
 
0.1%

Length

2023-12-11T03:50:31.904151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:32.075548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1486
95.9%
0 63
 
4.1%
1 1
 
0.1%

건축물동수
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
1262 
1
232 
0
 
56

Length

Max length4
Median length4
Mean length3.4425806
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> 1262
81.4%
1 232
 
15.0%
0 56
 
3.6%

Length

2023-12-11T03:50:32.245368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:32.397975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1262
81.4%
1 232
 
15.0%
0 56
 
3.6%

건축물연면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct384
Distinct (%)85.1%
Missing1099
Missing (%)70.9%
Infinite0
Infinite (%)0.0%
Mean2643.9183
Minimum0
Maximum583286
Zeros42
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-11T03:50:32.596581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1426.65
median926
Q31511.915
95-th percentile3811.315
Maximum583286
Range583286
Interquartile range (IQR)1085.265

Descriptive statistics

Standard deviation27648.912
Coefficient of variation (CV)10.457552
Kurtosis435.11129
Mean2643.9183
Median Absolute Deviation (MAD)558.04
Skewness20.712933
Sum1192407.2
Variance7.6446235 × 108
MonotonicityNot monotonic
2023-12-11T03:50:32.822928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 42
 
2.7%
1010.0 3
 
0.2%
1065.09 3
 
0.2%
1569.05 2
 
0.1%
2271.39 2
 
0.1%
2005.62 2
 
0.1%
557.16 2
 
0.1%
1237.59 2
 
0.1%
286.56 2
 
0.1%
903.72 2
 
0.1%
Other values (374) 389
 
25.1%
(Missing) 1099
70.9%
ValueCountFrequency (%)
0.0 42
2.7%
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 size12.2 KiB
<NA>
1487 
0
 
63

Length

Max length4
Median length4
Mean length3.8780645
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> 1487
95.9%
0 63
 
4.1%

Length

2023-12-11T03:50:33.016504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:33.173292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1487
95.9%
0 63
 
4.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1550
Missing (%)100.0%
Memory size13.8 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1550
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_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>
78당구장업10_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>
89당구장업10_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>
910당구장업10_32_01_P3410000CDFH330108200800000320080116<NA>4취소/말소/만료/정지/중지35직권말소20140404<NA><NA><NA><NA><NA>700411대구광역시 중구 삼덕동1가 22-9번지 3층대구광역시 중구 동성로5길 75, 3층 (삼덕동1가)700411로데오 당구장20140404183113I2018-08-31 23:59:59.0<NA>344317.257584264199.131562당구장업사립<NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
15401541당구장업10_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>
15411542당구장업10_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>
15421543당구장업10_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>
15431544당구장업10_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>
15441545당구장업10_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>
15451546당구장업10_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>
15461547당구장업10_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>
15471548당구장업10_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>
15481549당구장업10_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>
15491550당구장업10_32_01_P3480000CDFH330108201600000420160707<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 중리 491-2번지 타임스퀘어 6층대구광역시 달성군 현풍읍 테크노중앙대로 243, 타임스퀘어 6층43017B&B 당구클럽20200301120749U2020-03-03 02:40:00.0<NA>331862.0244558.0당구장업사립<NA><NA><NA><NA><NA><NA><NA>