Overview

Dataset statistics

Number of variables37
Number of observations1536
Missing cells14475
Missing cells (%)25.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory478.6 KiB
Average record size in memory319.1 B

Variable types

Numeric10
Categorical14
Text5
Unsupported7
DateTime1

Dataset

Description6270000_대구광역시_10_32_01_P_당구장업_5월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000089700&dataSetDetailId=DDI_0000089716&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
공사립구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (99.0%)Imbalance
휴업종료일자 is highly imbalanced (99.0%)Imbalance
지도자수 is highly imbalanced (99.2%)Imbalance
인허가취소일자 has 1536 (100.0%) missing valuesMissing
폐업일자 has 468 (30.5%) missing valuesMissing
재개업일자 has 1536 (100.0%) missing valuesMissing
소재지전화 has 654 (42.6%) missing valuesMissing
소재지면적 has 1536 (100.0%) missing valuesMissing
소재지우편번호 has 496 (32.3%) missing valuesMissing
소재지전체주소 has 53 (3.5%) missing valuesMissing
도로명전체주소 has 57 (3.7%) missing valuesMissing
도로명우편번호 has 821 (53.5%) missing valuesMissing
업태구분명 has 1536 (100.0%) missing valuesMissing
좌표정보(X) has 22 (1.4%) missing valuesMissing
좌표정보(Y) has 22 (1.4%) missing valuesMissing
건축물연면적 has 1130 (73.6%) missing valuesMissing
회원모집총인원 has 1536 (100.0%) missing valuesMissing
세부업종명 has 1536 (100.0%) missing valuesMissing
법인명 has 1536 (100.0%) missing valuesMissing
건축물연면적 is highly skewed (γ1 = 20.09665276)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
회원모집총인원 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

Reproduction

Analysis started2023-12-10 18:40:17.930070
Analysis finished2023-12-10 18:40:19.512196
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1536
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean768.5
Minimum1
Maximum1536
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-11T03:40:19.652713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile77.75
Q1384.75
median768.5
Q31152.25
95-th percentile1459.25
Maximum1536
Range1535
Interquartile range (IQR)767.5

Descriptive statistics

Standard deviation443.54932
Coefficient of variation (CV)0.57716242
Kurtosis-1.2
Mean768.5
Median Absolute Deviation (MAD)384
Skewness0
Sum1180416
Variance196736
MonotonicityStrictly increasing
2023-12-11T03:40:20.020324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
770 1
 
0.1%
1032 1
 
0.1%
1031 1
 
0.1%
1030 1
 
0.1%
1029 1
 
0.1%
1028 1
 
0.1%
1027 1
 
0.1%
1026 1
 
0.1%
1025 1
 
0.1%
Other values (1526) 1526
99.3%
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 (%)
1536 1
0.1%
1535 1
0.1%
1534 1
0.1%
1533 1
0.1%
1532 1
0.1%
1531 1
0.1%
1530 1
0.1%
1529 1
0.1%
1528 1
0.1%
1527 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
당구장업
1536 

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 1536
100.0%

Length

2023-12-11T03:40:20.340462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:20.519043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 1536
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
10_32_01_P
1536 

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 1536
100.0%

Length

2023-12-11T03:40:21.004238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:21.181335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_32_01_p 1536
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3449960.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-11T03:40:21.358785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation20428.594
Coefficient of variation (CV)0.0059213987
Kurtosis-1.0250848
Mean3449960.9
Median Absolute Deviation (MAD)20000
Skewness-0.42028712
Sum5.29914 × 109
Variance4.1732746 × 108
MonotonicityIncreasing
2023-12-11T03:40:21.564538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 406
26.4%
3450000 307
20.0%
3420000 205
13.3%
3460000 198
12.9%
3430000 137
 
8.9%
3440000 111
 
7.2%
3480000 96
 
6.2%
3410000 76
 
4.9%
ValueCountFrequency (%)
3410000 76
 
4.9%
3420000 205
13.3%
3430000 137
 
8.9%
3440000 111
 
7.2%
3450000 307
20.0%
3460000 198
12.9%
3470000 406
26.4%
3480000 96
 
6.2%
ValueCountFrequency (%)
3480000 96
 
6.2%
3470000 406
26.4%
3460000 198
12.9%
3450000 307
20.0%
3440000 111
 
7.2%
3430000 137
 
8.9%
3420000 205
13.3%
3410000 76
 
4.9%

관리번호
Text

Distinct489
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
2023-12-11T03:40:21.905937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters30720
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 (%)10.7%

Sample

1st rowCDFH3301082015000001
2nd rowCDFH3301082019000001
3rd rowCDFH3301082018000002
4th rowCDFH3301082021000001
5th rowCDFH3301082009000009
ValueCountFrequency (%)
cdfh3301082015000001 8
 
0.5%
cdfh3301082009000004 8
 
0.5%
cdfh3301082008000006 8
 
0.5%
cdfh3301082008000007 8
 
0.5%
cdfh3301082008000009 8
 
0.5%
cdfh3301082008000002 8
 
0.5%
cdfh3301082008000004 8
 
0.5%
cdfh3301081997000001 8
 
0.5%
cdfh3301082009000007 8
 
0.5%
cdfh3301082008000010 8
 
0.5%
Other values (479) 1456
94.8%
2023-12-11T03:40:22.456426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12667
41.2%
3 3461
 
11.3%
1 2843
 
9.3%
8 1909
 
6.2%
2 1869
 
6.1%
C 1536
 
5.0%
D 1536
 
5.0%
F 1536
 
5.0%
H 1536
 
5.0%
9 564
 
1.8%
Other values (4) 1263
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24576
80.0%
Uppercase Letter 6144
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12667
51.5%
3 3461
 
14.1%
1 2843
 
11.6%
8 1909
 
7.8%
2 1869
 
7.6%
9 564
 
2.3%
7 393
 
1.6%
6 324
 
1.3%
4 287
 
1.2%
5 259
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 1536
25.0%
D 1536
25.0%
F 1536
25.0%
H 1536
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24576
80.0%
Latin 6144
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12667
51.5%
3 3461
 
14.1%
1 2843
 
11.6%
8 1909
 
7.8%
2 1869
 
7.6%
9 564
 
2.3%
7 393
 
1.6%
6 324
 
1.3%
4 287
 
1.2%
5 259
 
1.1%
Latin
ValueCountFrequency (%)
C 1536
25.0%
D 1536
25.0%
F 1536
25.0%
H 1536
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12667
41.2%
3 3461
 
11.3%
1 2843
 
9.3%
8 1909
 
6.2%
2 1869
 
6.1%
C 1536
 
5.0%
D 1536
 
5.0%
F 1536
 
5.0%
H 1536
 
5.0%
9 564
 
1.8%
Other values (4) 1263
 
4.1%

인허가일자
Real number (ℝ)

Distinct1252
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20078555
Minimum19810108
Maximum20210419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-11T03:40:22.720302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19810108
5-th percentile19961126
Q120030922
median20080328
Q320120317
95-th percentile20181207
Maximum20210419
Range400311
Interquartile range (IQR)89394.75

Descriptive statistics

Standard deviation65612.41
Coefficient of variation (CV)0.0032677855
Kurtosis0.35347361
Mean20078555
Median Absolute Deviation (MAD)40677.5
Skewness-0.25927981
Sum3.084066 × 1010
Variance4.3049884 × 109
MonotonicityNot monotonic
2023-12-11T03:40:22.979401image/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%
20090630 4
 
0.3%
20071023 4
 
0.3%
20080828 4
 
0.3%
20090224 4
 
0.3%
20070928 4
 
0.3%
20070430 4
 
0.3%
20070308 4
 
0.3%
Other values (1242) 1492
97.1%
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 (%)
20210419 1
0.1%
20210416 1
0.1%
20210330 1
0.1%
20210311 1
0.1%
20210310 1
0.1%
20210303 1
0.1%
20210217 1
0.1%
20210114 1
0.1%
20210107 1
0.1%
20210106 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1536
Missing (%)100.0%
Memory size13.6 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
3
944 
1
461 
4
129 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
3 944
61.5%
1 461
30.0%
4 129
 
8.4%
2 2
 
0.1%

Length

2023-12-11T03:40:23.206233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:23.376140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 944
61.5%
1 461
30.0%
4 129
 
8.4%
2 2
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
폐업
944 
영업/정상
461 
취소/말소/만료/정지/중지
129 
휴업
 
2

Length

Max length14
Median length2
Mean length3.9082031
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 944
61.5%
영업/정상 461
30.0%
취소/말소/만료/정지/중지 129
 
8.4%
휴업 2
 
0.1%

Length

2023-12-11T03:40:23.587134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:23.791368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 944
61.5%
영업/정상 461
30.0%
취소/말소/만료/정지/중지 129
 
8.4%
휴업 2
 
0.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
3
943 
13
461 
35
129 
2
 
2
34
 
1

Length

Max length2
Median length1
Mean length1.3847656
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row34

Common Values

ValueCountFrequency (%)
3 943
61.4%
13 461
30.0%
35 129
 
8.4%
2 2
 
0.1%
34 1
 
0.1%

Length

2023-12-11T03:40:24.009649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:24.209527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 943
61.4%
13 461
30.0%
35 129
 
8.4%
2 2
 
0.1%
34 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
폐업
943 
영업중
461 
직권말소
129 
휴업
 
2
영업장폐쇄
 
1

Length

Max length5
Median length2
Mean length2.4700521
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 943
61.4%
영업중 461
30.0%
직권말소 129
 
8.4%
휴업 2
 
0.1%
영업장폐쇄 1
 
0.1%

Length

2023-12-11T03:40:24.448074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:24.674561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 943
61.4%
영업중 461
30.0%
직권말소 129
 
8.4%
휴업 2
 
0.1%
영업장폐쇄 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct804
Distinct (%)75.3%
Missing468
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean20124000
Minimum19970307
Maximum20210514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-11T03:40:24.915148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970307
5-th percentile20040317
Q120081087
median20121108
Q320171205
95-th percentile20200421
Maximum20210514
Range240207
Interquartile range (IQR)90118

Descriptive statistics

Standard deviation52252.675
Coefficient of variation (CV)0.0025965352
Kurtosis-1.0406712
Mean20124000
Median Absolute Deviation (MAD)40788.5
Skewness-0.16352743
Sum2.1492432 × 1010
Variance2.730342 × 109
MonotonicityNot monotonic
2023-12-11T03:40:25.194696image/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%
20031201 10
 
0.7%
20170718 10
 
0.7%
20190620 10
 
0.7%
20200109 9
 
0.6%
20060310 8
 
0.5%
20180911 6
 
0.4%
Other values (794) 956
62.2%
(Missing) 468
30.5%
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%
20020226 1
0.1%
20020527 1
0.1%
20021230 1
0.1%
20030116 1
0.1%
ValueCountFrequency (%)
20210514 2
0.1%
20210316 3
0.2%
20210224 1
 
0.1%
20210215 1
 
0.1%
20210208 1
 
0.1%
20210115 3
0.2%
20201229 1
 
0.1%
20201210 1
 
0.1%
20201209 1
 
0.1%
20201202 1
 
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
<NA>
1534 
20200601
 
1
20090226
 
1

Length

Max length8
Median length4
Mean length4.0052083
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1534
99.9%
20200601 1
 
0.1%
20090226 1
 
0.1%

Length

2023-12-11T03:40:25.451236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:25.657800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1534
99.9%
20200601 1
 
0.1%
20090226 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
<NA>
1534 
20211231
 
1
20090525
 
1

Length

Max length8
Median length4
Mean length4.0052083
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1534
99.9%
20211231 1
 
0.1%
20090525 1
 
0.1%

Length

2023-12-11T03:40:25.892256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:26.106384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1534
99.9%
20211231 1
 
0.1%
20090525 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1536
Missing (%)100.0%
Memory size13.6 KiB

소재지전화
Text

MISSING 

Distinct858
Distinct (%)97.3%
Missing654
Missing (%)42.6%
Memory size12.1 KiB
2023-12-11T03:40:26.507804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.7505669
Min length7

Characters and Unicode

Total characters8600
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

Unique836 ?
Unique (%)94.8%

Sample

1st row070-4045-0991
2nd row422-2623
3rd row427-6030
4th row257-8685
5th row421-1203
ValueCountFrequency (%)
053-761-0504 3
 
0.3%
382-3975 3
 
0.3%
053-582-2612 2
 
0.2%
767-9739 2
 
0.2%
624-7891 2
 
0.2%
357-2235 2
 
0.2%
323-1979 2
 
0.2%
621-5556 2
 
0.2%
426-6403 2
 
0.2%
053-424-1290 2
 
0.2%
Other values (848) 860
97.5%
2023-12-11T03:40:27.226358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1234
14.3%
5 1209
14.1%
3 1036
12.0%
0 857
10.0%
9 686
8.0%
2 677
7.9%
6 635
7.4%
7 611
7.1%
8 576
6.7%
1 549
6.4%
Other values (3) 530
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7359
85.6%
Dash Punctuation 1234
 
14.3%
Close Punctuation 6
 
0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1209
16.4%
3 1036
14.1%
0 857
11.6%
9 686
9.3%
2 677
9.2%
6 635
8.6%
7 611
8.3%
8 576
7.8%
1 549
7.5%
4 523
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 1234
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8600
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1234
14.3%
5 1209
14.1%
3 1036
12.0%
0 857
10.0%
9 686
8.0%
2 677
7.9%
6 635
7.4%
7 611
7.1%
8 576
6.7%
1 549
6.4%
Other values (3) 530
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1234
14.3%
5 1209
14.1%
3 1036
12.0%
0 857
10.0%
9 686
8.0%
2 677
7.9%
6 635
7.4%
7 611
7.1%
8 576
6.7%
1 549
6.4%
Other values (3) 530
6.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1536
Missing (%)100.0%
Memory size13.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct344
Distinct (%)33.1%
Missing496
Missing (%)32.3%
Infinite0
Infinite (%)0.0%
Mean704399.96
Minimum700010
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-11T03:40:27.529447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700785.8
Q1702842
median704815.5
Q3704947
95-th percentile706853
Maximum711891
Range11881
Interquartile range (IQR)2105

Descriptive statistics

Standard deviation2376.3428
Coefficient of variation (CV)0.0033735703
Kurtosis2.4846376
Mean704399.96
Median Absolute Deviation (MAD)1012.5
Skewness1.0842582
Sum7.3257595 × 108
Variance5647005.1
MonotonicityNot monotonic
2023-12-11T03:40:27.860594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704940 24
 
1.6%
704921 20
 
1.3%
705816 18
 
1.2%
704922 16
 
1.0%
700411 15
 
1.0%
704947 11
 
0.7%
702886 11
 
0.7%
704946 11
 
0.7%
711852 10
 
0.7%
702842 10
 
0.7%
Other values (334) 894
58.2%
(Missing) 496
32.3%
ValueCountFrequency (%)
700010 1
 
0.1%
700030 1
 
0.1%
700040 1
 
0.1%
700060 1
 
0.1%
700070 2
 
0.1%
700092 4
0.3%
700093 3
0.2%
700111 2
 
0.1%
700150 6
0.4%
700180 1
 
0.1%
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
0.7%
711843 2
 
0.1%
711841 1
 
0.1%
711838 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct1361
Distinct (%)91.8%
Missing53
Missing (%)3.5%
Memory size12.1 KiB
2023-12-11T03:40:28.492397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length23.696561
Min length14

Characters and Unicode

Total characters35142
Distinct characters212
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

Unique1249 ?
Unique (%)84.2%

Sample

1st row대구광역시 중구 동인동4가 191번지 2층
2nd row대구광역시 중구 대봉동 55-158번지
3rd row대구광역시 중구 삼덕동1가 22-9번지
4th row대구광역시 중구 대봉동 55-94
5th row대구광역시 중구 태평로1가 21-5번지 4층
ValueCountFrequency (%)
대구광역시 1483
22.1%
달서구 364
 
5.4%
북구 307
 
4.6%
동구 205
 
3.0%
수성구 198
 
2.9%
2층 171
 
2.5%
3층 168
 
2.5%
서구 130
 
1.9%
남구 111
 
1.7%
달성군 92
 
1.4%
Other values (1525) 3494
52.0%
2023-12-11T03:40:29.367627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6701
19.1%
구 2895
 
8.2%
동 1699
 
4.8%
대 1627
 
4.6%
1 1573
 
4.5%
시 1491
 
4.2%
광 1485
 
4.2%
역 1483
 
4.2%
지 1457
 
4.1%
번 1340
 
3.8%
Other values (202) 13391
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19602
55.8%
Decimal Number 7331
 
20.9%
Space Separator 6701
 
19.1%
Dash Punctuation 1298
 
3.7%
Close Punctuation 92
 
0.3%
Open Punctuation 92
 
0.3%
Uppercase Letter 17
 
< 0.1%
Other Punctuation 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2895
14.8%
동 1699
 
8.7%
대 1627
 
8.3%
시 1491
 
7.6%
광 1485
 
7.6%
역 1483
 
7.6%
지 1457
 
7.4%
번 1340
 
6.8%
층 536
 
2.7%
서 525
 
2.7%
Other values (178) 5064
25.8%
Decimal Number
ValueCountFrequency (%)
1 1573
21.5%
2 1093
14.9%
3 926
12.6%
4 674
9.2%
5 604
 
8.2%
0 564
 
7.7%
6 495
 
6.8%
7 485
 
6.6%
9 462
 
6.3%
8 455
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 7
41.2%
F 4
23.5%
A 2
 
11.8%
L 1
 
5.9%
D 1
 
5.9%
J 1
 
5.9%
M 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 4
44.4%
, 4
44.4%
/ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
6701
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1298
100.0%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19602
55.8%
Common 15523
44.2%
Latin 17
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2895
14.8%
동 1699
 
8.7%
대 1627
 
8.3%
시 1491
 
7.6%
광 1485
 
7.6%
역 1483
 
7.6%
지 1457
 
7.4%
번 1340
 
6.8%
층 536
 
2.7%
서 525
 
2.7%
Other values (178) 5064
25.8%
Common
ValueCountFrequency (%)
6701
43.2%
1 1573
 
10.1%
- 1298
 
8.4%
2 1093
 
7.0%
3 926
 
6.0%
4 674
 
4.3%
5 604
 
3.9%
0 564
 
3.6%
6 495
 
3.2%
7 485
 
3.1%
Other values (7) 1110
 
7.2%
Latin
ValueCountFrequency (%)
B 7
41.2%
F 4
23.5%
A 2
 
11.8%
L 1
 
5.9%
D 1
 
5.9%
J 1
 
5.9%
M 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19602
55.8%
ASCII 15540
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6701
43.1%
1 1573
 
10.1%
- 1298
 
8.4%
2 1093
 
7.0%
3 926
 
6.0%
4 674
 
4.3%
5 604
 
3.9%
0 564
 
3.6%
6 495
 
3.2%
7 485
 
3.1%
Other values (14) 1127
 
7.3%
Hangul
ValueCountFrequency (%)
구 2895
14.8%
동 1699
 
8.7%
대 1627
 
8.3%
시 1491
 
7.6%
광 1485
 
7.6%
역 1483
 
7.6%
지 1457
 
7.4%
번 1340
 
6.8%
층 536
 
2.7%
서 525
 
2.7%
Other values (178) 5064
25.8%

도로명전체주소
Text

MISSING 

Distinct1402
Distinct (%)94.8%
Missing57
Missing (%)3.7%
Memory size12.1 KiB
2023-12-11T03:40:30.024783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length46
Mean length26.64503
Min length20

Characters and Unicode

Total characters39408
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

Unique1328 ?
Unique (%)89.8%

Sample

1st row대구광역시 중구 국채보상로140길 13, 2층 (동인동4가)
2nd row대구광역시 중구 대봉로 234, 2층 (대봉동)
3rd row대구광역시 중구 동성로5길 75 (삼덕동1가)
4th row대구광역시 중구 대봉로 238, 2층 (대봉동)
5th row대구광역시 중구 태평로 204, 4층 (태평로1가)
ValueCountFrequency (%)
대구광역시 1479
 
18.5%
달서구 401
 
5.0%
북구 304
 
3.8%
동구 201
 
2.5%
수성구 192
 
2.4%
2층 145
 
1.8%
서구 136
 
1.7%
3층 120
 
1.5%
남구 108
 
1.4%
달성군 85
 
1.1%
Other values (1401) 4821
60.3%
2023-12-11T03:40:30.987467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7111
18.0%
구 3072
 
7.8%
대 1955
 
5.0%
동 1954
 
5.0%
시 1501
 
3.8%
역 1485
 
3.8%
광 1483
 
3.8%
로 1475
 
3.7%
( 1462
 
3.7%
) 1462
 
3.7%
Other values (250) 16448
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22703
57.6%
Space Separator 7111
 
18.0%
Decimal Number 5630
 
14.3%
Open Punctuation 1462
 
3.7%
Close Punctuation 1462
 
3.7%
Other Punctuation 813
 
2.1%
Dash Punctuation 208
 
0.5%
Uppercase Letter 18
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 3072
 
13.5%
대 1955
 
8.6%
동 1954
 
8.6%
시 1501
 
6.6%
역 1485
 
6.5%
광 1483
 
6.5%
로 1475
 
6.5%
층 711
 
3.1%
서 708
 
3.1%
달 626
 
2.8%
Other values (225) 7733
34.1%
Decimal Number
ValueCountFrequency (%)
1 1083
19.2%
2 971
17.2%
3 807
14.3%
5 530
9.4%
4 504
9.0%
0 379
 
6.7%
6 377
 
6.7%
9 345
 
6.1%
7 320
 
5.7%
8 314
 
5.6%
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 (%)
, 808
99.4%
. 4
 
0.5%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
7111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1462
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1462
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 208
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22703
57.6%
Common 16687
42.3%
Latin 18
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 3072
 
13.5%
대 1955
 
8.6%
동 1954
 
8.6%
시 1501
 
6.6%
역 1485
 
6.5%
광 1483
 
6.5%
로 1475
 
6.5%
층 711
 
3.1%
서 708
 
3.1%
달 626
 
2.8%
Other values (225) 7733
34.1%
Common
ValueCountFrequency (%)
7111
42.6%
( 1462
 
8.8%
) 1462
 
8.8%
1 1083
 
6.5%
2 971
 
5.8%
, 808
 
4.8%
3 807
 
4.8%
5 530
 
3.2%
4 504
 
3.0%
0 379
 
2.3%
Other values (8) 1570
 
9.4%
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 22703
57.6%
ASCII 16705
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7111
42.6%
( 1462
 
8.8%
) 1462
 
8.8%
1 1083
 
6.5%
2 971
 
5.8%
, 808
 
4.8%
3 807
 
4.8%
5 530
 
3.2%
4 504
 
3.0%
0 379
 
2.3%
Other values (15) 1588
 
9.5%
Hangul
ValueCountFrequency (%)
구 3072
 
13.5%
대 1955
 
8.6%
동 1954
 
8.6%
시 1501
 
6.6%
역 1485
 
6.5%
광 1483
 
6.5%
로 1475
 
6.5%
층 711
 
3.1%
서 708
 
3.1%
달 626
 
2.8%
Other values (225) 7733
34.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct403
Distinct (%)56.4%
Missing821
Missing (%)53.5%
Infinite0
Infinite (%)0.0%
Mean127097.5
Minimum41005
Maximum706853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-11T03:40:31.241389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41005
5-th percentile41109.5
Q141469
median42088
Q342748.5
95-th percentile704812.2
Maximum706853
Range665848
Interquartile range (IQR)1279.5

Descriptive statistics

Standard deviation221734.26
Coefficient of variation (CV)1.7445997
Kurtosis2.9486399
Mean127097.5
Median Absolute Deviation (MAD)636
Skewness2.2226638
Sum90874713
Variance4.9166083 × 1010
MonotonicityNot monotonic
2023-12-11T03:40:31.481637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41423 21
 
1.4%
42274 8
 
0.5%
41544 8
 
0.5%
41443 7
 
0.5%
41034 7
 
0.5%
41086 6
 
0.4%
42737 6
 
0.4%
41569 6
 
0.4%
42614 6
 
0.4%
42196 6
 
0.4%
Other values (393) 634
41.3%
(Missing) 821
53.5%
ValueCountFrequency (%)
41005 1
 
0.1%
41026 2
 
0.1%
41029 1
 
0.1%
41034 7
0.5%
41044 1
 
0.1%
41047 1
 
0.1%
41049 1
 
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

Distinct1075
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
2023-12-11T03:40:31.901781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length6.0013021
Min length2

Characters and Unicode

Total characters9218
Distinct characters478
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

Unique856 ?
Unique (%)55.7%

Sample

1st row에쿠스당구장
2nd row대봉당구장
3rd row동성로 당구클럽
4th row에이스 당구클럽
5th row현대당구장
ValueCountFrequency (%)
당구장 158
 
8.4%
당구클럽 132
 
7.0%
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 9
 
0.5%
당구 8
 
0.4%
Other values (1065) 1492
79.3%
2023-12-11T03:40:32.526757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 1485
16.1%
당 1465
15.9%
장 957
 
10.4%
클 477
 
5.2%
럽 475
 
5.2%
345
 
3.7%
스 205
 
2.2%
아 127
 
1.4%
리 98
 
1.1%
이 95
 
1.0%
Other values (468) 3489
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8316
90.2%
Uppercase Letter 425
 
4.6%
Space Separator 345
 
3.7%
Decimal Number 55
 
0.6%
Other Punctuation 27
 
0.3%
Lowercase Letter 26
 
0.3%
Open Punctuation 8
 
0.1%
Dash Punctuation 8
 
0.1%
Close Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1485
17.9%
당 1465
17.6%
장 957
 
11.5%
클 477
 
5.7%
럽 475
 
5.7%
스 205
 
2.5%
아 127
 
1.5%
리 98
 
1.2%
이 95
 
1.1%
드 70
 
0.8%
Other values (413) 2862
34.4%
Uppercase Letter
ValueCountFrequency (%)
B 74
17.4%
C 63
14.8%
T 54
12.7%
S 39
9.2%
K 29
 
6.8%
J 22
 
5.2%
O 20
 
4.7%
M 19
 
4.5%
P 17
 
4.0%
I 15
 
3.5%
Other values (14) 73
17.2%
Lowercase Letter
ValueCountFrequency (%)
k 4
15.4%
e 4
15.4%
r 2
 
7.7%
a 2
 
7.7%
l 2
 
7.7%
i 2
 
7.7%
s 2
 
7.7%
p 1
 
3.8%
u 1
 
3.8%
n 1
 
3.8%
Other values (5) 5
19.2%
Decimal Number
ValueCountFrequency (%)
2 26
47.3%
1 11
20.0%
5 6
 
10.9%
4 5
 
9.1%
3 3
 
5.5%
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 (%)
345
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8316
90.2%
Common 451
 
4.9%
Latin 451
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1485
17.9%
당 1465
17.6%
장 957
 
11.5%
클 477
 
5.7%
럽 475
 
5.7%
스 205
 
2.5%
아 127
 
1.5%
리 98
 
1.2%
이 95
 
1.1%
드 70
 
0.8%
Other values (413) 2862
34.4%
Latin
ValueCountFrequency (%)
B 74
16.4%
C 63
14.0%
T 54
12.0%
S 39
 
8.6%
K 29
 
6.4%
J 22
 
4.9%
O 20
 
4.4%
M 19
 
4.2%
P 17
 
3.8%
I 15
 
3.3%
Other values (29) 99
22.0%
Common
ValueCountFrequency (%)
345
76.5%
2 26
 
5.8%
. 15
 
3.3%
1 11
 
2.4%
& 9
 
2.0%
( 8
 
1.8%
- 8
 
1.8%
) 8
 
1.8%
5 6
 
1.3%
4 5
 
1.1%
Other values (6) 10
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8316
90.2%
ASCII 901
 
9.8%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 1485
17.9%
당 1465
17.6%
장 957
 
11.5%
클 477
 
5.7%
럽 475
 
5.7%
스 205
 
2.5%
아 127
 
1.5%
리 98
 
1.2%
이 95
 
1.1%
드 70
 
0.8%
Other values (413) 2862
34.4%
ASCII
ValueCountFrequency (%)
345
38.3%
B 74
 
8.2%
C 63
 
7.0%
T 54
 
6.0%
S 39
 
4.3%
K 29
 
3.2%
2 26
 
2.9%
J 22
 
2.4%
O 20
 
2.2%
M 19
 
2.1%
Other values (44) 210
23.3%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1536
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0142908 × 1013
Minimum2.0030226 × 1013
Maximum2.0210531 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-11T03:40:32.761868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030226 × 1013
5-th percentile2.0050118 × 1013
Q12.0101123 × 1013
median2.015093 × 1013
Q32.019062 × 1013
95-th percentile2.0201118 × 1013
Maximum2.0210531 × 1013
Range1.8030505 × 1011
Interquartile range (IQR)8.9496942 × 1010

Descriptive statistics

Standard deviation5.2074675 × 1010
Coefficient of variation (CV)0.002585261
Kurtosis-0.90427402
Mean2.0142908 × 1013
Median Absolute Deviation (MAD)4.0046988 × 1010
Skewness-0.55470202
Sum3.0939507 × 1016
Variance2.7117717 × 1021
MonotonicityNot monotonic
2023-12-11T03:40:32.996896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190306090145 1
 
0.1%
20200512182223 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 (1526) 1526
99.3%
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 (%)
20210531155456 1
0.1%
20210531131455 1
0.1%
20210528133825 1
0.1%
20210517134018 1
0.1%
20210514153754 1
0.1%
20210514111731 1
0.1%
20210429185732 1
0.1%
20210429123118 1
0.1%
20210428090613 1
0.1%
20210426101225 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
I
1080 
U
456 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1080
70.3%
U 456
29.7%

Length

2023-12-11T03:40:33.249717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:33.415584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1080
70.3%
u 456
29.7%

데이터갱신일자
Date

Distinct304
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-06-02 02:40:00
2023-12-11T03:40:33.569766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:40:33.781646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1536
Missing (%)100.0%
Memory size13.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1217
Distinct (%)80.4%
Missing22
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean342241.45
Minimum326316.83
Maximum356351.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-11T03:40:33.983694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326316.83
5-th percentile334127.4
Q1339130.05
median341865.54
Q3345943.19
95-th percentile352927.36
Maximum356351.62
Range30034.788
Interquartile range (IQR)6813.1433

Descriptive statistics

Standard deviation5310.711
Coefficient of variation (CV)0.01551744
Kurtosis0.075502033
Mean342241.45
Median Absolute Deviation (MAD)3453.5371
Skewness0.13476777
Sum5.1815355 × 108
Variance28203652
MonotonicityNot monotonic
2023-12-11T03:40:34.176812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
340319.472097 5
 
0.3%
334127.643645 4
 
0.3%
339763.678525 4
 
0.3%
340058.341412 4
 
0.3%
341806.290847 4
 
0.3%
338613.41829 3
 
0.2%
339532.257739 3
 
0.2%
348063.902968 3
 
0.2%
334844.590564 3
 
0.2%
341631.98443 3
 
0.2%
Other values (1207) 1478
96.2%
(Missing) 22
 
1.4%
ValueCountFrequency (%)
326316.829633 1
0.1%
328015.993727 2
0.1%
328489.0 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%
330067.502557 1
0.1%
330111.303556 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 2
0.1%
355665.232375 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1217
Distinct (%)80.4%
Missing22
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean263479.5
Minimum240463
Maximum273573.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-11T03:40:34.736444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240463
5-th percentile257506.35
Q1261315.93
median263287.38
Q3265929.34
95-th percentile271442.51
Maximum273573.03
Range33110.032
Interquartile range (IQR)4613.4044

Descriptive statistics

Standard deviation4561.6301
Coefficient of variation (CV)0.017313036
Kurtosis4.1251559
Mean263479.5
Median Absolute Deviation (MAD)2176.1463
Skewness-1.0155285
Sum3.9890796 × 108
Variance20808470
MonotonicityNot monotonic
2023-12-11T03:40:34.982695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264923.875002 5
 
0.3%
262155.282763 4
 
0.3%
272190.882495 4
 
0.3%
260383.014927 4
 
0.3%
263685.956304 4
 
0.3%
262202.671451 3
 
0.2%
272695.123588 3
 
0.2%
259264.535727 3
 
0.2%
262777.355813 3
 
0.2%
267369.925823 3
 
0.2%
Other values (1207) 1478
96.2%
(Missing) 22
 
1.4%
ValueCountFrequency (%)
240463.0 1
0.1%
240483.177406 2
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%
272695.123588 3
0.2%
272656.837766 1
 
0.1%
272656.031204 1
 
0.1%
272633.741088 1
 
0.1%
272624.325445 2
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
당구장업
1536 

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 1536
100.0%

Length

2023-12-11T03:40:35.234155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:35.403452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 1536
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
사립
1536 

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 1536
100.0%

Length

2023-12-11T03:40:35.574052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:35.722174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1536
100.0%

보험가입여부코드
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
<NA>
1074 
0
461 
Y
 
1

Length

Max length4
Median length4
Mean length3.0976562
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> 1074
69.9%
0 461
30.0%
Y 1
 
0.1%

Length

2023-12-11T03:40:35.886851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:36.049376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1074
69.9%
0 461
30.0%
y 1
 
0.1%

지도자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
<NA>
1535 
1
 
1

Length

Max length4
Median length4
Mean length3.9980469
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> 1535
99.9%
1 1
 
0.1%

Length

2023-12-11T03:40:36.254369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:36.445371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1535
99.9%
1 1
 
0.1%

건축물동수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
<NA>
1304 
1
232 

Length

Max length4
Median length4
Mean length3.546875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1304
84.9%
1 232
 
15.1%

Length

2023-12-11T03:40:36.625655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:40:36.812088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1304
84.9%
1 232
 
15.1%

건축물연면적
Real number (ℝ)

MISSING  SKEWED 

Distinct381
Distinct (%)93.8%
Missing1130
Missing (%)73.6%
Infinite0
Infinite (%)0.0%
Mean2730.6089
Minimum99
Maximum583286
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-11T03:40:36.993004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile165.155
Q1606.1525
median989.69
Q31568.8225
95-th percentile3840.4775
Maximum583286
Range583187
Interquartile range (IQR)962.67

Descriptive statistics

Standard deviation28908.853
Coefficient of variation (CV)10.586962
Kurtosis404.57395
Mean2730.6089
Median Absolute Deviation (MAD)488.51
Skewness20.096653
Sum1108627.2
Variance8.357218 × 108
MonotonicityNot monotonic
2023-12-11T03:40:37.213339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1065.09 3
 
0.2%
1010.0 3
 
0.2%
636.51 2
 
0.1%
1499.65 2
 
0.1%
5373.86 2
 
0.1%
2271.39 2
 
0.1%
1569.05 2
 
0.1%
997.49 2
 
0.1%
1237.59 2
 
0.1%
989.0 2
 
0.1%
Other values (371) 384
 
25.0%
(Missing) 1130
73.6%
ValueCountFrequency (%)
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%
144.94 1
0.1%
ValueCountFrequency (%)
583286.0 1
0.1%
8250.07 1
0.1%
7435.21 1
0.1%
7388.85 1
0.1%
7325.67 1
0.1%
6418.38 1
0.1%
5582.74 1
0.1%
5373.86 2
0.1%
4932.55 1
0.1%
4861.13 1
0.1%

회원모집총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1536
Missing (%)100.0%
Memory size13.6 KiB

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1536
Missing (%)100.0%
Memory size13.6 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1536
Missing (%)100.0%
Memory size13.6 KiB

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
01당구장업10_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>
12당구장업10_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>
23당구장업10_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>
34당구장업10_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>
45당구장업10_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>
56당구장업10_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>
67당구장업10_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>
78당구장업10_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>
89당구장업10_32_01_P3410000CDFH330108199600000119960730<NA>4취소/말소/만료/정지/중지35직권말소20090212<NA><NA><NA>421-1203<NA>700823대구광역시 중구 봉산동 129-18번지<NA><NA>필당구장20090212130526I2018-08-31 23:59:59.0<NA>344111.907575263850.343285당구장업사립0<NA><NA>179.42<NA><NA><NA>
910당구장업10_32_01_P3410000CDFH330108199600000319960426<NA>4취소/말소/만료/정지/중지35직권말소20090618<NA><NA><NA>424-1559<NA>700804대구광역시 중구 남산동 2105-2번지<NA><NA>황제당구장20090623175504I2018-08-31 23:59:59.0<NA>343920.334257263029.396407당구장업사립<NA><NA><NA>142.5<NA><NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
15261527당구장업10_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>
15271528당구장업10_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>
15281529당구장업10_32_01_P3480000CDFH330108201500000120151118<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 부리 433-2번지 5층대구광역시 달성군 현풍면 비슬로134길 107, 5층42999현풍당구클럽20151118175417I2018-08-31 23:59:59.0<NA>330587.050964245051.557951당구장업사립<NA><NA><NA><NA><NA><NA><NA>
15291530당구장업10_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>
15301531당구장업10_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>
15311532당구장업10_32_01_P3480000CDFH330108201800000520180525<NA>1영업/정상13영업중<NA><NA><NA><NA>053-616-8844<NA><NA>대구광역시 달성군 논공읍 남리 1081번지대구광역시 달성군 논공읍 논공로15길 29, 2층42978MOSCOW20180525085303I2018-08-31 23:59:59.0<NA>330200.771035248836.15445당구장업사립<NA><NA><NA><NA><NA><NA><NA>
15321533당구장업10_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>332145.196359263083.111357당구장업사립<NA><NA><NA><NA><NA><NA><NA>
15331534당구장업10_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>
15341535당구장업10_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>
15351536당구장업10_32_01_P3480000CDFH330108201600000720160811<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 옥포읍 강림리 1124번지 401호대구광역시 달성군 옥포읍 돌미로2서길 6, 401호42974큐당구장20200518160602U2020-05-20 02:40:00.0<NA>329941.0254165.0당구장업사립<NA><NA><NA><NA><NA><NA><NA>