Overview

Dataset statistics

Number of variables37
Number of observations1490
Missing cells14053
Missing cells (%)25.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory464.3 KiB
Average record size in memory319.1 B

Variable types

Numeric10
Categorical14
Text5
Unsupported7
DateTime1

Dataset

Description6270000_대구광역시_10_32_01_P_당구장업_4월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000084951&dataSetDetailId=DDI_0000084989&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 1490 (100.0%) missing valuesMissing
폐업일자 has 475 (31.9%) missing valuesMissing
재개업일자 has 1490 (100.0%) missing valuesMissing
소재지전화 has 623 (41.8%) missing valuesMissing
소재지면적 has 1490 (100.0%) missing valuesMissing
소재지우편번호 has 453 (30.4%) missing valuesMissing
소재지전체주소 has 54 (3.6%) missing valuesMissing
도로명전체주소 has 57 (3.8%) missing valuesMissing
도로명우편번호 has 818 (54.9%) missing valuesMissing
업태구분명 has 1490 (100.0%) missing valuesMissing
좌표정보(X) has 20 (1.3%) missing valuesMissing
좌표정보(Y) has 20 (1.3%) missing valuesMissing
건축물연면적 has 1103 (74.0%) missing valuesMissing
회원모집총인원 has 1490 (100.0%) missing valuesMissing
세부업종명 has 1490 (100.0%) missing valuesMissing
법인명 has 1490 (100.0%) missing valuesMissing
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 20:46:26.935909
Analysis finished2023-12-10 20:46:28.473538
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1490
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean745.5
Minimum1
Maximum1490
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2023-12-11T05:46:28.604839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile75.45
Q1373.25
median745.5
Q31117.75
95-th percentile1415.55
Maximum1490
Range1489
Interquartile range (IQR)744.5

Descriptive statistics

Standard deviation430.27026
Coefficient of variation (CV)0.57715662
Kurtosis-1.2
Mean745.5
Median Absolute Deviation (MAD)372.5
Skewness0
Sum1110795
Variance185132.5
MonotonicityStrictly increasing
2023-12-11T05:46:28.856405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
992 1
 
0.1%
1001 1
 
0.1%
1000 1
 
0.1%
999 1
 
0.1%
998 1
 
0.1%
997 1
 
0.1%
996 1
 
0.1%
995 1
 
0.1%
994 1
 
0.1%
Other values (1480) 1480
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 (%)
1490 1
0.1%
1489 1
0.1%
1488 1
0.1%
1487 1
0.1%
1486 1
0.1%
1485 1
0.1%
1484 1
0.1%
1483 1
0.1%
1482 1
0.1%
1481 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
당구장업
1490 

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 1490
100.0%

Length

2023-12-11T05:46:29.092443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:29.245453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 1490
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
10_32_01_P
1490 

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 1490
100.0%

Length

2023-12-11T05:46:29.410123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:29.580755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_32_01_p 1490
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3450040.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2023-12-11T05:46:29.715394image/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 deviation20444.976
Coefficient of variation (CV)0.0059260108
Kurtosis-1.0193415
Mean3450040.3
Median Absolute Deviation (MAD)20000
Skewness-0.4256582
Sum5.14056 × 109
Variance4.1799703 × 108
MonotonicityIncreasing
2023-12-11T05:46:29.883741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 397
26.6%
3450000 293
19.7%
3420000 195
13.1%
3460000 192
12.9%
3430000 133
 
8.9%
3440000 111
 
7.4%
3480000 94
 
6.3%
3410000 75
 
5.0%
ValueCountFrequency (%)
3410000 75
 
5.0%
3420000 195
13.1%
3430000 133
 
8.9%
3440000 111
 
7.4%
3450000 293
19.7%
3460000 192
12.9%
3470000 397
26.6%
3480000 94
 
6.3%
ValueCountFrequency (%)
3480000 94
 
6.3%
3470000 397
26.6%
3460000 192
12.9%
3450000 293
19.7%
3440000 111
 
7.4%
3430000 133
 
8.9%
3420000 195
13.1%
3410000 75
 
5.0%

관리번호
Text

Distinct471
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2023-12-11T05:46:30.229494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters29800
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

Unique159 ?
Unique (%)10.7%

Sample

1st rowCDFH3301082014000001
2nd rowCDFH3301082015000001
3rd rowCDFH3301082018000002
4th rowCDFH3301082009000009
5th rowCDFH3301082008000003
ValueCountFrequency (%)
cdfh3301082008000005 8
 
0.5%
cdfh3301082015000001 8
 
0.5%
cdfh3301082008000002 8
 
0.5%
cdfh3301082008000008 8
 
0.5%
cdfh3301082019000001 8
 
0.5%
cdfh3301082008000007 8
 
0.5%
cdfh3301082008000009 8
 
0.5%
cdfh3301082008000010 8
 
0.5%
cdfh3301082008000004 8
 
0.5%
cdfh3301082011000002 8
 
0.5%
Other values (461) 1410
94.6%
2023-12-11T05:46:30.827736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12279
41.2%
3 3355
 
11.3%
1 2759
 
9.3%
8 1860
 
6.2%
2 1785
 
6.0%
C 1490
 
5.0%
D 1490
 
5.0%
F 1490
 
5.0%
H 1490
 
5.0%
9 554
 
1.9%
Other values (4) 1248
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23840
80.0%
Uppercase Letter 5960
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12279
51.5%
3 3355
 
14.1%
1 2759
 
11.6%
8 1860
 
7.8%
2 1785
 
7.5%
9 554
 
2.3%
7 390
 
1.6%
6 320
 
1.3%
4 282
 
1.2%
5 256
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 1490
25.0%
D 1490
25.0%
F 1490
25.0%
H 1490
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23840
80.0%
Latin 5960
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12279
51.5%
3 3355
 
14.1%
1 2759
 
11.6%
8 1860
 
7.8%
2 1785
 
7.5%
9 554
 
2.3%
7 390
 
1.6%
6 320
 
1.3%
4 282
 
1.2%
5 256
 
1.1%
Latin
ValueCountFrequency (%)
C 1490
25.0%
D 1490
25.0%
F 1490
25.0%
H 1490
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12279
41.2%
3 3355
 
11.3%
1 2759
 
9.3%
8 1860
 
6.2%
2 1785
 
6.0%
C 1490
 
5.0%
D 1490
 
5.0%
F 1490
 
5.0%
H 1490
 
5.0%
9 554
 
1.9%
Other values (4) 1248
 
4.2%

인허가일자
Real number (ℝ)

Distinct1215
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20076128
Minimum19810108
Maximum20200429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2023-12-11T05:46:31.070786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19810108
5-th percentile19961068
Q120030822
median20080317
Q320110724
95-th percentile20180318
Maximum20200429
Range390321
Interquartile range (IQR)79901.75

Descriptive statistics

Standard deviation63618.803
Coefficient of variation (CV)0.0031688781
Kurtosis0.4885557
Mean20076128
Median Absolute Deviation (MAD)40149.5
Skewness-0.3319917
Sum2.9913431 × 1010
Variance4.0473521 × 109
MonotonicityNot monotonic
2023-12-11T05:46:31.311954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070403 6
 
0.4%
20070810 5
 
0.3%
20070928 4
 
0.3%
20090630 4
 
0.3%
20070720 4
 
0.3%
20070308 4
 
0.3%
20080828 4
 
0.3%
20070410 4
 
0.3%
20070430 4
 
0.3%
20090224 4
 
0.3%
Other values (1205) 1447
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 (%)
20200429 1
0.1%
20200401 1
0.1%
20200326 1
0.1%
20200320 1
0.1%
20200313 1
0.1%
20200211 1
0.1%
20200206 1
0.1%
20200121 1
0.1%
20200117 2
0.1%
20200115 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1490
Missing (%)100.0%
Memory size13.2 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
3
905 
1
468 
4
115 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row3
5th row4

Common Values

ValueCountFrequency (%)
3 905
60.7%
1 468
31.4%
4 115
 
7.7%
2 2
 
0.1%

Length

2023-12-11T05:46:31.545595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:31.717452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 905
60.7%
1 468
31.4%
4 115
 
7.7%
2 2
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
폐업
905 
영업/정상
468 
취소/말소/만료/정지/중지
115 
휴업
 
2

Length

Max length14
Median length2
Mean length3.8684564
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 905
60.7%
영업/정상 468
31.4%
취소/말소/만료/정지/중지 115
 
7.7%
휴업 2
 
0.1%

Length

2023-12-11T05:46:31.920703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:32.103445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 905
60.7%
영업/정상 468
31.4%
취소/말소/만료/정지/중지 115
 
7.7%
휴업 2
 
0.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
3
904 
13
468 
35
115 
2
 
2
34
 
1

Length

Max length2
Median length1
Mean length1.3919463
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row13
2nd row13
3rd row13
4th row34
5th row35

Common Values

ValueCountFrequency (%)
3 904
60.7%
13 468
31.4%
35 115
 
7.7%
2 2
 
0.1%
34 1
 
0.1%

Length

2023-12-11T05:46:32.285514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:32.793547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 904
60.7%
13 468
31.4%
35 115
 
7.7%
2 2
 
0.1%
34 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
폐업
904 
영업중
468 
직권말소
115 
휴업
 
2
영업장폐쇄
 
1

Length

Max length5
Median length2
Mean length2.4704698
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 904
60.7%
영업중 468
31.4%
직권말소 115
 
7.7%
휴업 2
 
0.1%
영업장폐쇄 1
 
0.1%

Length

2023-12-11T05:46:33.036155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:33.230908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 904
60.7%
영업중 468
31.4%
직권말소 115
 
7.7%
휴업 2
 
0.1%
영업장폐쇄 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct769
Distinct (%)75.8%
Missing475
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean20119886
Minimum19970307
Maximum20200427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2023-12-11T05:46:33.463256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970307
5-th percentile20040308
Q120080664
median20120514
Q320160710
95-th percentile20190816
Maximum20200427
Range230120
Interquartile range (IQR)80046

Descriptive statistics

Standard deviation50308.182
Coefficient of variation (CV)0.0025004208
Kurtosis-1.0086914
Mean20119886
Median Absolute Deviation (MAD)39994
Skewness-0.14908037
Sum2.0421684 × 1010
Variance2.5309132 × 109
MonotonicityNot monotonic
2023-12-11T05:46:33.706937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190729 21
 
1.4%
20151201 13
 
0.9%
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%
20051220 5
 
0.3%
Other values (759) 912
61.2%
(Missing) 475
31.9%
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 (%)
20200427 1
0.1%
20200421 1
0.1%
20200420 1
0.1%
20200414 1
0.1%
20200330 1
0.1%
20200310 1
0.1%
20200302 1
0.1%
20200219 1
0.1%
20200130 1
0.1%
20200128 1
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1488 
20180601
 
1
20090226
 
1

Length

Max length8
Median length4
Mean length4.0053691
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> 1488
99.9%
20180601 1
 
0.1%
20090226 1
 
0.1%

Length

2023-12-11T05:46:33.962538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:34.154702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1488
99.9%
20180601 1
 
0.1%
20090226 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1488 
20200530
 
1
20090525
 
1

Length

Max length8
Median length4
Mean length4.0053691
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> 1488
99.9%
20200530 1
 
0.1%
20090525 1
 
0.1%

Length

2023-12-11T05:46:34.358748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:34.551224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1488
99.9%
20200530 1
 
0.1%
20090525 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1490
Missing (%)100.0%
Memory size13.2 KiB

소재지전화
Text

MISSING 

Distinct843
Distinct (%)97.2%
Missing623
Missing (%)41.8%
Memory size11.8 KiB
2023-12-11T05:46:34.917588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.7324106
Min length7

Characters and Unicode

Total characters8438
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

Unique821 ?
Unique (%)94.7%

Sample

1st row070-4045-0991
2nd row422-2623
3rd row421-1203
4th row424-1559
5th row070-4110-0140
ValueCountFrequency (%)
382-3975 3
 
0.3%
053-761-0504 3
 
0.3%
053-525-9921 2
 
0.2%
053-644-4439 2
 
0.2%
939-9372 2
 
0.2%
383-7500 2
 
0.2%
957-8985 2
 
0.2%
325-9981 2
 
0.2%
053-582-0822 2
 
0.2%
621-5556 2
 
0.2%
Other values (833) 845
97.5%
2023-12-11T05:46:35.616404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1210
14.3%
5 1182
14.0%
3 1012
12.0%
0 840
10.0%
9 669
7.9%
2 668
7.9%
6 627
7.4%
7 597
7.1%
8 569
6.7%
1 541
6.4%
Other values (3) 523
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7221
85.6%
Dash Punctuation 1210
 
14.3%
Close Punctuation 6
 
0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1182
16.4%
3 1012
14.0%
0 840
11.6%
9 669
9.3%
2 668
9.3%
6 627
8.7%
7 597
8.3%
8 569
7.9%
1 541
7.5%
4 516
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 1210
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8438
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1210
14.3%
5 1182
14.0%
3 1012
12.0%
0 840
10.0%
9 669
7.9%
2 668
7.9%
6 627
7.4%
7 597
7.1%
8 569
6.7%
1 541
6.4%
Other values (3) 523
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8438
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1210
14.3%
5 1182
14.0%
3 1012
12.0%
0 840
10.0%
9 669
7.9%
2 668
7.9%
6 627
7.4%
7 597
7.1%
8 569
6.7%
1 541
6.4%
Other values (3) 523
6.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1490
Missing (%)100.0%
Memory size13.2 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct345
Distinct (%)33.3%
Missing453
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean704400.82
Minimum700010
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2023-12-11T05:46:35.841167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700731.2
Q1702842
median704816
Q3704947
95-th percentile706853
Maximum711891
Range11881
Interquartile range (IQR)2105

Descriptive statistics

Standard deviation2379.4044
Coefficient of variation (CV)0.0033779125
Kurtosis2.470361
Mean704400.82
Median Absolute Deviation (MAD)1012
Skewness1.0824133
Sum7.3046365 × 108
Variance5661565.1
MonotonicityNot monotonic
2023-12-11T05:46:36.049766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704940 23
 
1.5%
704921 20
 
1.3%
705816 18
 
1.2%
704922 17
 
1.1%
700411 15
 
1.0%
702886 11
 
0.7%
704946 11
 
0.7%
704947 11
 
0.7%
711852 10
 
0.7%
702842 10
 
0.7%
Other values (335) 891
59.8%
(Missing) 453
30.4%
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 

Distinct1311
Distinct (%)91.3%
Missing54
Missing (%)3.6%
Memory size11.8 KiB
2023-12-11T05:46:36.587254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length41
Mean length23.928969
Min length14

Characters and Unicode

Total characters34362
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

Unique1196 ?
Unique (%)83.3%

Sample

1st row대구광역시 중구 남산동 609-4번지 3층
2nd row대구광역시 중구 동인동4가 191번지 2층
3rd row대구광역시 중구 삼덕동1가 22-9번지
4th row대구광역시 중구 태평로1가 21-5번지 4층
5th row대구광역시 중구 삼덕동1가 22-9번지 3층
ValueCountFrequency (%)
대구광역시 1436
22.0%
달서구 354
 
5.4%
북구 293
 
4.5%
동구 195
 
3.0%
수성구 192
 
2.9%
2층 166
 
2.5%
3층 163
 
2.5%
서구 126
 
1.9%
남구 111
 
1.7%
달성군 90
 
1.4%
Other values (1451) 3391
52.0%
2023-12-11T05:46:37.261459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6495
18.9%
구 2803
 
8.2%
동 1641
 
4.8%
대 1576
 
4.6%
지 1552
 
4.5%
1 1530
 
4.5%
시 1444
 
4.2%
광 1438
 
4.2%
번 1436
 
4.2%
역 1436
 
4.2%
Other values (202) 13011
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19287
56.1%
Decimal Number 7110
 
20.7%
Space Separator 6495
 
18.9%
Dash Punctuation 1256
 
3.7%
Close Punctuation 94
 
0.3%
Open Punctuation 94
 
0.3%
Uppercase Letter 17
 
< 0.1%
Other Punctuation 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2803
14.5%
동 1641
 
8.5%
대 1576
 
8.2%
지 1552
 
8.0%
시 1444
 
7.5%
광 1438
 
7.5%
번 1436
 
7.4%
역 1436
 
7.4%
층 522
 
2.7%
서 511
 
2.6%
Other values (178) 4928
25.6%
Decimal Number
ValueCountFrequency (%)
1 1530
21.5%
2 1064
15.0%
3 899
12.6%
4 649
9.1%
5 583
 
8.2%
0 553
 
7.8%
6 477
 
6.7%
7 470
 
6.6%
9 445
 
6.3%
8 440
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 7
41.2%
F 4
23.5%
A 2
 
11.8%
L 1
 
5.9%
J 1
 
5.9%
M 1
 
5.9%
D 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 4
44.4%
, 4
44.4%
/ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
6495
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1256
100.0%
Close Punctuation
ValueCountFrequency (%)
) 94
100.0%
Open Punctuation
ValueCountFrequency (%)
( 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19287
56.1%
Common 15058
43.8%
Latin 17
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2803
14.5%
동 1641
 
8.5%
대 1576
 
8.2%
지 1552
 
8.0%
시 1444
 
7.5%
광 1438
 
7.5%
번 1436
 
7.4%
역 1436
 
7.4%
층 522
 
2.7%
서 511
 
2.6%
Other values (178) 4928
25.6%
Common
ValueCountFrequency (%)
6495
43.1%
1 1530
 
10.2%
- 1256
 
8.3%
2 1064
 
7.1%
3 899
 
6.0%
4 649
 
4.3%
5 583
 
3.9%
0 553
 
3.7%
6 477
 
3.2%
7 470
 
3.1%
Other values (7) 1082
 
7.2%
Latin
ValueCountFrequency (%)
B 7
41.2%
F 4
23.5%
A 2
 
11.8%
L 1
 
5.9%
J 1
 
5.9%
M 1
 
5.9%
D 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19287
56.1%
ASCII 15075
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6495
43.1%
1 1530
 
10.1%
- 1256
 
8.3%
2 1064
 
7.1%
3 899
 
6.0%
4 649
 
4.3%
5 583
 
3.9%
0 553
 
3.7%
6 477
 
3.2%
7 470
 
3.1%
Other values (14) 1099
 
7.3%
Hangul
ValueCountFrequency (%)
구 2803
14.5%
동 1641
 
8.5%
대 1576
 
8.2%
지 1552
 
8.0%
시 1444
 
7.5%
광 1438
 
7.5%
번 1436
 
7.4%
역 1436
 
7.4%
층 522
 
2.7%
서 511
 
2.6%
Other values (178) 4928
25.6%

도로명전체주소
Text

MISSING 

Distinct1364
Distinct (%)95.2%
Missing57
Missing (%)3.8%
Memory size11.8 KiB
2023-12-11T05:46:37.828684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length46
Mean length26.609909
Min length20

Characters and Unicode

Total characters38132
Distinct characters256
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

Unique1297 ?
Unique (%)90.5%

Sample

1st row대구광역시 중구 명덕로35길 99, 3층 (남산동)
2nd row대구광역시 중구 국채보상로140길 13, 2층 (동인동4가)
3rd row대구광역시 중구 동성로5길 75 (삼덕동1가)
4th row대구광역시 중구 태평로 204, 4층 (태평로1가)
5th row대구광역시 중구 동성로5길 75, 3층 (삼덕동1가)
ValueCountFrequency (%)
대구광역시 1433
 
18.6%
달서구 392
 
5.1%
북구 290
 
3.8%
동구 191
 
2.5%
수성구 186
 
2.4%
2층 133
 
1.7%
서구 132
 
1.7%
3층 110
 
1.4%
남구 108
 
1.4%
달성군 83
 
1.1%
Other values (1374) 4657
60.4%
2023-12-11T05:46:38.645969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6883
18.1%
구 2977
 
7.8%
대 1894
 
5.0%
동 1885
 
4.9%
시 1455
 
3.8%
역 1438
 
3.8%
광 1436
 
3.8%
로 1429
 
3.7%
( 1419
 
3.7%
) 1419
 
3.7%
Other values (246) 15897
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21979
57.6%
Space Separator 6883
 
18.1%
Decimal Number 5441
 
14.3%
Open Punctuation 1419
 
3.7%
Close Punctuation 1419
 
3.7%
Other Punctuation 773
 
2.0%
Dash Punctuation 200
 
0.5%
Uppercase Letter 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2977
 
13.5%
대 1894
 
8.6%
동 1885
 
8.6%
시 1455
 
6.6%
역 1438
 
6.5%
광 1436
 
6.5%
로 1429
 
6.5%
서 692
 
3.1%
층 670
 
3.0%
달 611
 
2.8%
Other values (222) 7492
34.1%
Decimal Number
ValueCountFrequency (%)
1 1049
19.3%
2 936
17.2%
3 774
14.2%
5 506
9.3%
4 487
9.0%
0 369
 
6.8%
6 366
 
6.7%
9 338
 
6.2%
7 310
 
5.7%
8 306
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 8
44.4%
F 4
22.2%
A 2
 
11.1%
D 1
 
5.6%
L 1
 
5.6%
M 1
 
5.6%
J 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 768
99.4%
. 4
 
0.5%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
6883
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1419
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1419
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21979
57.6%
Common 16135
42.3%
Latin 18
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2977
 
13.5%
대 1894
 
8.6%
동 1885
 
8.6%
시 1455
 
6.6%
역 1438
 
6.5%
광 1436
 
6.5%
로 1429
 
6.5%
서 692
 
3.1%
층 670
 
3.0%
달 611
 
2.8%
Other values (222) 7492
34.1%
Common
ValueCountFrequency (%)
6883
42.7%
( 1419
 
8.8%
) 1419
 
8.8%
1 1049
 
6.5%
2 936
 
5.8%
3 774
 
4.8%
, 768
 
4.8%
5 506
 
3.1%
4 487
 
3.0%
0 369
 
2.3%
Other values (7) 1525
 
9.5%
Latin
ValueCountFrequency (%)
B 8
44.4%
F 4
22.2%
A 2
 
11.1%
D 1
 
5.6%
L 1
 
5.6%
M 1
 
5.6%
J 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21979
57.6%
ASCII 16153
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6883
42.6%
( 1419
 
8.8%
) 1419
 
8.8%
1 1049
 
6.5%
2 936
 
5.8%
3 774
 
4.8%
, 768
 
4.8%
5 506
 
3.1%
4 487
 
3.0%
0 369
 
2.3%
Other values (14) 1543
 
9.6%
Hangul
ValueCountFrequency (%)
구 2977
 
13.5%
대 1894
 
8.6%
동 1885
 
8.6%
시 1455
 
6.6%
역 1438
 
6.5%
광 1436
 
6.5%
로 1429
 
6.5%
서 692
 
3.1%
층 670
 
3.0%
달 611
 
2.8%
Other values (222) 7492
34.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct394
Distinct (%)58.6%
Missing818
Missing (%)54.9%
Infinite0
Infinite (%)0.0%
Mean132553.3
Minimum41005
Maximum706853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2023-12-11T05:46:38.891381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41005
5-th percentile41108.75
Q141475
median42117
Q342758
95-th percentile704816.45
Maximum706853
Range665848
Interquartile range (IQR)1283

Descriptive statistics

Standard deviation227642.51
Coefficient of variation (CV)1.7173658
Kurtosis2.4906368
Mean132553.3
Median Absolute Deviation (MAD)641.5
Skewness2.1173282
Sum89075820
Variance5.1821112 × 1010
MonotonicityNot monotonic
2023-12-11T05:46:39.144891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41423 19
 
1.3%
42274 8
 
0.5%
41544 8
 
0.5%
41034 7
 
0.5%
41443 7
 
0.5%
42737 6
 
0.4%
700411 6
 
0.4%
42708 5
 
0.3%
41475 5
 
0.3%
41452 5
 
0.3%
Other values (384) 596
40.0%
(Missing) 818
54.9%
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

Distinct1046
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2023-12-11T05:46:39.604602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length6.0020134
Min length2

Characters and Unicode

Total characters8943
Distinct characters473
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

Unique835 ?
Unique (%)56.0%

Sample

1st row원당구장
2nd row에쿠스당구장
3rd row동성로 당구클럽
4th row현대당구장
5th row로데오 당구장
ValueCountFrequency (%)
당구장 147
 
8.1%
당구클럽 125
 
6.9%
tbc당구클럽 21
 
1.2%
tbc당구장 14
 
0.8%
큐당구장 13
 
0.7%
특실당구장 13
 
0.7%
아카데미 11
 
0.6%
스카이당구장 10
 
0.6%
에이스당구장 9
 
0.5%
아카데미당구장 8
 
0.4%
Other values (1040) 1437
79.5%
2023-12-11T05:46:40.274731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 1450
16.2%
당 1430
16.0%
장 936
 
10.5%
클 461
 
5.2%
럽 459
 
5.1%
318
 
3.6%
스 200
 
2.2%
아 126
 
1.4%
이 93
 
1.0%
리 91
 
1.0%
Other values (463) 3379
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8069
90.2%
Uppercase Letter 418
 
4.7%
Space Separator 318
 
3.6%
Decimal Number 52
 
0.6%
Lowercase Letter 35
 
0.4%
Other Punctuation 27
 
0.3%
Dash Punctuation 8
 
0.1%
Close Punctuation 8
 
0.1%
Open Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1450
18.0%
당 1430
17.7%
장 936
 
11.6%
클 461
 
5.7%
럽 459
 
5.7%
스 200
 
2.5%
아 126
 
1.6%
이 93
 
1.2%
리 91
 
1.1%
카 68
 
0.8%
Other values (404) 2755
34.1%
Uppercase Letter
ValueCountFrequency (%)
B 73
17.5%
C 62
14.8%
T 55
13.2%
S 37
8.9%
K 25
 
6.0%
J 21
 
5.0%
O 19
 
4.5%
M 19
 
4.5%
P 18
 
4.3%
I 15
 
3.6%
Other values (16) 74
17.7%
Lowercase Letter
ValueCountFrequency (%)
k 4
11.4%
l 4
11.4%
e 4
11.4%
i 4
11.4%
r 3
8.6%
a 3
8.6%
s 3
8.6%
p 1
 
2.9%
u 1
 
2.9%
b 1
 
2.9%
Other values (7) 7
20.0%
Decimal Number
ValueCountFrequency (%)
2 26
50.0%
1 10
 
19.2%
4 5
 
9.6%
5 4
 
7.7%
3 3
 
5.8%
7 2
 
3.8%
0 2
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 15
55.6%
& 9
33.3%
# 1
 
3.7%
· 1
 
3.7%
' 1
 
3.7%
Space Separator
ValueCountFrequency (%)
318
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8069
90.2%
Latin 453
 
5.1%
Common 421
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1450
18.0%
당 1430
17.7%
장 936
 
11.6%
클 461
 
5.7%
럽 459
 
5.7%
스 200
 
2.5%
아 126
 
1.6%
이 93
 
1.2%
리 91
 
1.1%
카 68
 
0.8%
Other values (404) 2755
34.1%
Latin
ValueCountFrequency (%)
B 73
16.1%
C 62
13.7%
T 55
12.1%
S 37
 
8.2%
K 25
 
5.5%
J 21
 
4.6%
O 19
 
4.2%
M 19
 
4.2%
P 18
 
4.0%
I 15
 
3.3%
Other values (33) 109
24.1%
Common
ValueCountFrequency (%)
318
75.5%
2 26
 
6.2%
. 15
 
3.6%
1 10
 
2.4%
& 9
 
2.1%
- 8
 
1.9%
) 8
 
1.9%
( 8
 
1.9%
4 5
 
1.2%
5 4
 
1.0%
Other values (6) 10
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8069
90.2%
ASCII 873
 
9.8%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 1450
18.0%
당 1430
17.7%
장 936
 
11.6%
클 461
 
5.7%
럽 459
 
5.7%
스 200
 
2.5%
아 126
 
1.6%
이 93
 
1.2%
리 91
 
1.1%
카 68
 
0.8%
Other values (404) 2755
34.1%
ASCII
ValueCountFrequency (%)
318
36.4%
B 73
 
8.4%
C 62
 
7.1%
T 55
 
6.3%
S 37
 
4.2%
2 26
 
3.0%
K 25
 
2.9%
J 21
 
2.4%
O 19
 
2.2%
M 19
 
2.2%
Other values (48) 218
25.0%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1490
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0138342 × 1013
Minimum2.0030226 × 1013
Maximum2.0200429 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2023-12-11T05:46:40.513412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030226 × 1013
5-th percentile2.0041223 × 1013
Q12.0100817 × 1013
median2.0150603 × 1013
Q32.0180913 × 1013
95-th percentile2.0200109 × 1013
Maximum2.0200429 × 1013
Range1.7020308 × 1011
Interquartile range (IQR)8.0095785 × 1010

Descriptive statistics

Standard deviation4.9393474 × 1010
Coefficient of variation (CV)0.0024527081
Kurtosis-0.85839188
Mean2.0138342 × 1013
Median Absolute Deviation (MAD)3.9623479 × 1010
Skewness-0.58830197
Sum3.0006129 × 1016
Variance2.4397153 × 1021
MonotonicityNot monotonic
2023-12-11T05:46:40.776772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190425091942 1
 
0.1%
20180905104030 1
 
0.1%
20190620114549 1
 
0.1%
20190729094814 1
 
0.1%
20191126140221 1
 
0.1%
20120430092212 1
 
0.1%
20200428083159 1
 
0.1%
20070529150745 1
 
0.1%
20190418161441 1
 
0.1%
20070723161408 1
 
0.1%
Other values (1480) 1480
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 (%)
20200429181706 1
0.1%
20200428083159 1
0.1%
20200423083916 1
0.1%
20200421110330 1
0.1%
20200420180248 1
0.1%
20200417164522 1
0.1%
20200415144653 1
0.1%
20200414103748 1
0.1%
20200414103347 1
0.1%
20200413105601 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
I
1143 
U
347 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1143
76.7%
U 347
 
23.3%

Length

2023-12-11T05:46:41.265125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:41.504043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1143
76.7%
u 347
 
23.3%

데이터갱신일자
Date

Distinct217
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
Minimum2018-08-31 23:59:59
Maximum2020-05-01 00:23:32
2023-12-11T05:46:41.688332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:46:42.030150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1490
Missing (%)100.0%
Memory size13.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1190
Distinct (%)81.0%
Missing20
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean342188.63
Minimum326316.83
Maximum356351.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2023-12-11T05:46:42.294755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326316.83
5-th percentile334126.9
Q1338994.18
median341845.3
Q3345900.03
95-th percentile352866.96
Maximum356351.62
Range30034.788
Interquartile range (IQR)6905.8468

Descriptive statistics

Standard deviation5308.5863
Coefficient of variation (CV)0.015513626
Kurtosis0.080970186
Mean342188.63
Median Absolute Deviation (MAD)3409.5252
Skewness0.13151125
Sum5.0301729 × 108
Variance28181089
MonotonicityNot monotonic
2023-12-11T05:46:42.543767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
340319.472097 5
 
0.3%
341806.290847 4
 
0.3%
340058.341412 4
 
0.3%
339763.678525 4
 
0.3%
334127.643645 4
 
0.3%
338699.026057 3
 
0.2%
340315.669704 3
 
0.2%
342656.920463 3
 
0.2%
345198.24967 3
 
0.2%
346635.436722 3
 
0.2%
Other values (1180) 1434
96.2%
(Missing) 20
 
1.3%
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 1
 
0.1%
355665.232375 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1190
Distinct (%)81.0%
Missing20
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean263448.55
Minimum240463
Maximum273573.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2023-12-11T05:46:42.914078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240463
5-th percentile257500.1
Q1261312.82
median263274.39
Q3265890.46
95-th percentile271358.61
Maximum273573.03
Range33110.032
Interquartile range (IQR)4577.6435

Descriptive statistics

Standard deviation4574.077
Coefficient of variation (CV)0.017362316
Kurtosis4.1790519
Mean263448.55
Median Absolute Deviation (MAD)2147.3521
Skewness-1.0346106
Sum3.8726937 × 108
Variance20922180
MonotonicityNot monotonic
2023-12-11T05:46:43.305561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264923.875002 5
 
0.3%
263685.956304 4
 
0.3%
260383.014927 4
 
0.3%
272190.882495 4
 
0.3%
262155.282763 4
 
0.3%
260504.954718 3
 
0.2%
271263.909577 3
 
0.2%
261999.005857 3
 
0.2%
265438.503441 3
 
0.2%
262534.112939 3
 
0.2%
Other values (1180) 1434
96.2%
(Missing) 20
 
1.3%
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 2
0.1%
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 size11.8 KiB
당구장업
1490 

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 1490
100.0%

Length

2023-12-11T05:46:43.676358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:43.966298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 1490
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
사립
1490 

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 1490
100.0%

Length

2023-12-11T05:46:44.163458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:44.304780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1490
100.0%

보험가입여부코드
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1028 
0
461 
Y
 
1

Length

Max length4
Median length4
Mean length3.0697987
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> 1028
69.0%
0 461
30.9%
Y 1
 
0.1%

Length

2023-12-11T05:46:44.874264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:45.063422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1028
69.0%
0 461
30.9%
y 1
 
0.1%

지도자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1489 
1
 
1

Length

Max length4
Median length4
Mean length3.9979866
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> 1489
99.9%
1 1
 
0.1%

Length

2023-12-11T05:46:45.290139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:45.444390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1489
99.9%
1 1
 
0.1%

건축물동수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
1262 
1
228 

Length

Max length4
Median length4
Mean length3.5409396
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> 1262
84.7%
1 228
 
15.3%

Length

2023-12-11T05:46:45.635965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:46:45.807296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1262
84.7%
1 228
 
15.3%

건축물연면적
Real number (ℝ)

MISSING 

Distinct367
Distinct (%)94.8%
Missing1103
Missing (%)74.0%
Infinite0
Infinite (%)0.0%
Mean2774.9687
Minimum99
Maximum583286
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2023-12-11T05:46:46.014741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile164.348
Q1583.11
median975.92
Q31559.025
95-th percentile3747.179
Maximum583286
Range583187
Interquartile range (IQR)975.915

Descriptive statistics

Standard deviation29609.715
Coefficient of variation (CV)10.670288
Kurtosis385.72481
Mean2774.9687
Median Absolute Deviation (MAD)481.46
Skewness19.623978
Sum1073912.9
Variance8.7673522 × 108
MonotonicityNot monotonic
2023-12-11T05:46:46.248461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1010.0 3
 
0.2%
1065.09 3
 
0.2%
1569.05 2
 
0.1%
989.0 2
 
0.1%
1237.59 2
 
0.1%
991.88 2
 
0.1%
636.51 2
 
0.1%
3212.15 2
 
0.1%
1656.05 2
 
0.1%
2005.62 2
 
0.1%
Other values (357) 365
 
24.5%
(Missing) 1103
74.0%
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 1
0.1%
4932.55 1
0.1%
4861.13 1
0.1%

회원모집총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1490
Missing (%)100.0%
Memory size13.2 KiB

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1490
Missing (%)100.0%
Memory size13.2 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1490
Missing (%)100.0%
Memory size13.2 KiB

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
01당구장업10_32_01_P3410000CDFH330108201400000120140616<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>700835대구광역시 중구 남산동 609-4번지 3층대구광역시 중구 명덕로35길 99, 3층 (남산동)41969원당구장20190425091942U2019-04-27 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_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_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>
45당구장업10_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>
56당구장업10_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>
67당구장업10_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>
78당구장업10_32_01_P3410000CDFH330108201000000220100308<NA>4취소/말소/만료/정지/중지35직권말소20140428<NA><NA><NA>070-4110-0140<NA>700092대구광역시 중구 동성로2가 70-2번지 6층대구광역시 중구 동성로2길 81 (동성로2가)700092로하스당구장20140428115933I2018-08-31 23:59:59.0<NA>344153.179258264434.922486당구장업사립<NA><NA><NA><NA><NA><NA><NA>
89당구장업10_32_01_P3410000CDFH330108201000000320100315<NA>4취소/말소/만료/정지/중지35직권말소20140421<NA><NA><NA>425-5228<NA>700180대구광역시 중구 동문동 33-3번지 3층대구광역시 중구 경상감영길 156, 3층 (동문동)700180제일당구장20140421163611I2018-08-31 23:59:59.0<NA>344053.756037264737.873802당구장업사립<NA><NA><NA>600.45<NA><NA><NA>
910당구장업10_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>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
14801481당구장업10_32_01_P3480000CDFH330108200800001020081111<NA>1영업/정상13영업중<NA><NA><NA><NA>053-616-0501<NA><NA>대구광역시 달성군 논공읍 남리 224번지 논공삼주아파트대구광역시 달성군 논공읍 논공로7길 55, 302동 (논공삼주아파트)42980청구당구장20200227093620U2020-02-29 02:40:00.0<NA>330067.502557248956.759797당구장업사립<NA><NA><NA><NA><NA><NA><NA>
14811482당구장업10_32_01_P3480000CDFH330108200900000420090226<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 하리 66-3번지대구광역시 달성군 현풍읍 현풍로 4843003스카이 당구클럽20200227093645U2020-02-29 02:40:00.0<NA>330567.018523244924.485979당구장업사립<NA><NA><NA><NA><NA><NA><NA>
14821483당구장업10_32_01_P3480000CDFH330108200900000620090430<NA>1영업/정상13영업중<NA><NA><NA><NA>053-635-9777<NA><NA>대구광역시 달성군 화원읍 천내리 319번지대구광역시 달성군 화원읍 사문진로 41042947코리아당구장20200227093705U2020-02-29 02:40:00.0<NA>334944.127228257146.616717당구장업사립<NA><NA>1865.89<NA><NA><NA>
14831484당구장업10_32_01_P3480000CDFH330108201000000320100423<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 북리 824-28번지대구광역시 달성군 논공읍 용호로2길 16, 2층42986허리우드당구장20200227093754U2020-02-29 02:40:00.0<NA>330743.868572248609.194121당구장업사립<NA><NA><NA><NA><NA><NA><NA>
14841485당구장업10_32_01_P3480000CDFH330108201100000220111015<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 부리 440번지대구광역시 달성군 현풍읍 현풍중앙로16길 14, 2층42999에이스당구장20191017132913U2019-10-19 02:40:00.0<NA>330567.11783245096.11462당구장업사립<NA><NA><NA><NA><NA><NA><NA>
14851486당구장업10_32_01_P3480000CDFH330108201300000120130121<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>711812대구광역시 달성군 다사읍 매곡리 699-3번지대구광역시 달성군 다사읍 다사역로 442910원당구장20130121090358I2018-08-31 23:59:59.0<NA>331793.272089263547.345266당구장업사립<NA><NA><NA>676.17<NA><NA><NA>
14861487당구장업10_32_01_P3480000CDFH330108200900000820090612<NA>1영업/정상13영업중<NA><NA><NA><NA>053-585-8911<NA><NA>대구광역시 달성군 다사읍 매곡리 1546-8번지 진광타워대구광역시 달성군 다사읍 달구벌대로 863, 진광타워 701호42914스타당구클럽20200227093728U2020-02-29 02:40:00.0<NA>332237.177954263095.169477당구장업사립<NA><NA><NA><NA><NA><NA><NA>
14871488당구장업10_32_01_P3480000CDFH330108201300000320130715<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 매곡리 1546-7번지대구광역시 달성군 다사읍 달구벌대로 861, 동성빌딩 7층42914베스트당구클럽20200121134330U2020-01-23 02:40:00.0<NA>332220.064187263114.527196당구장업사립<NA><NA>17388.85<NA><NA><NA>
14881489당구장업10_32_01_P3480000CDFH330108199700000319971211<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 북리 824-8번지대구광역시 달성군 논공읍 논공로 749, 3층42986조영당구장20190527131245U2019-05-29 02:40:00.0<NA>330672.657583248636.739356당구장업사립<NA><NA><NA>208.05<NA><NA><NA>
14891490당구장업10_32_01_P3480000CDFH330108200800000120080111<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 북리 803-83번지대구광역시 달성군 논공읍 논공로5길 147, 2층42979큐 당구장20200227093438U2020-02-29 02:40:00.0<NA>330457.305772248719.040411당구장업사립<NA><NA>1798.6<NA><NA><NA>