Overview

Dataset statistics

Number of variables37
Number of observations1547
Missing cells12981
Missing cells (%)22.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory482.1 KiB
Average record size in memory319.1 B

Variable types

Numeric10
Categorical15
Text5
Unsupported6
DateTime1

Dataset

Description22년02월_6270000_대구광역시_10_32_01_P_당구장업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092439&dataSetDetailId=DDI_0000092515&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
공사립구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (98.8%)Imbalance
휴업종료일자 is highly imbalanced (98.8%)Imbalance
지도자수 is highly imbalanced (86.1%)Imbalance
회원모집총인원 is highly imbalanced (78.8%)Imbalance
인허가취소일자 has 1547 (100.0%) missing valuesMissing
폐업일자 has 450 (29.1%) missing valuesMissing
재개업일자 has 1547 (100.0%) missing valuesMissing
소재지전화 has 663 (42.9%) missing valuesMissing
소재지면적 has 1547 (100.0%) missing valuesMissing
소재지우편번호 has 505 (32.6%) missing valuesMissing
소재지전체주소 has 52 (3.4%) missing valuesMissing
도로명전체주소 has 57 (3.7%) missing valuesMissing
도로명우편번호 has 821 (53.1%) missing valuesMissing
업태구분명 has 1547 (100.0%) missing valuesMissing
좌표정보(X) has 24 (1.6%) missing valuesMissing
좌표정보(Y) has 24 (1.6%) missing valuesMissing
건축물연면적 has 1103 (71.3%) missing valuesMissing
세부업종명 has 1547 (100.0%) missing valuesMissing
법인명 has 1547 (100.0%) missing valuesMissing
건축물연면적 is highly skewed (γ1 = 20.55249928)Skewed
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
세부업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
법인명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물연면적 has 36 (2.3%) zerosZeros

Reproduction

Analysis started2023-12-10 17:56:55.093883
Analysis finished2023-12-10 17:56:56.651120
Duration1.56 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1547
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean774
Minimum1
Maximum1547
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2023-12-11T02:56:56.760302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile78.3
Q1387.5
median774
Q31160.5
95-th percentile1469.7
Maximum1547
Range1546
Interquartile range (IQR)773

Descriptive statistics

Standard deviation446.72475
Coefficient of variation (CV)0.57716376
Kurtosis-1.2
Mean774
Median Absolute Deviation (MAD)387
Skewness0
Sum1197378
Variance199563
MonotonicityStrictly increasing
2023-12-11T02:56:57.013144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1065 1
 
0.1%
1039 1
 
0.1%
1038 1
 
0.1%
1037 1
 
0.1%
1036 1
 
0.1%
1035 1
 
0.1%
1034 1
 
0.1%
1033 1
 
0.1%
1032 1
 
0.1%
Other values (1537) 1537
99.4%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1547 1
0.1%
1546 1
0.1%
1545 1
0.1%
1544 1
0.1%
1543 1
0.1%
1542 1
0.1%
1541 1
0.1%
1540 1
0.1%
1539 1
0.1%
1538 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
당구장업
1547 

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 1547
100.0%

Length

2023-12-11T02:56:57.305031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:56:57.469729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 1547
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
10_32_01_P
1547 

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 1547
100.0%

Length

2023-12-11T02:56:57.632474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:56:57.796034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_32_01_p 1547
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3449883.6
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2023-12-11T02:56:57.971138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3413000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation20488.52
Coefficient of variation (CV)0.0059389019
Kurtosis-1.035455
Mean3449883.6
Median Absolute Deviation (MAD)20000
Skewness-0.41759797
Sum5.33697 × 109
Variance4.1977947 × 108
MonotonicityIncreasing
2023-12-11T02:56:58.188272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 410
26.5%
3450000 308
19.9%
3420000 209
13.5%
3460000 198
12.8%
3430000 137
 
8.9%
3440000 111
 
7.2%
3480000 96
 
6.2%
3410000 78
 
5.0%
ValueCountFrequency (%)
3410000 78
 
5.0%
3420000 209
13.5%
3430000 137
 
8.9%
3440000 111
 
7.2%
3450000 308
19.9%
3460000 198
12.8%
3470000 410
26.5%
3480000 96
 
6.2%
ValueCountFrequency (%)
3480000 96
 
6.2%
3470000 410
26.5%
3460000 198
12.8%
3450000 308
19.9%
3440000 111
 
7.2%
3430000 137
 
8.9%
3420000 209
13.5%
3410000 78
 
5.0%

관리번호
Text

Distinct490
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
2023-12-11T02:56:58.675947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters30940
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

Unique164 ?
Unique (%)10.6%

Sample

1st rowCDFH3301082014000001
2nd rowCDFH3301082015000001
3rd rowCDFH3301082019000001
4th rowCDFH3301082021000002
5th rowCDFH3301082018000002
ValueCountFrequency (%)
cdfh3301082010000001 8
 
0.5%
cdfh3301082009000005 8
 
0.5%
cdfh3301082007000002 8
 
0.5%
cdfh3301082005000003 8
 
0.5%
cdfh3301082007000005 8
 
0.5%
cdfh3301082008000005 8
 
0.5%
cdfh3301082008000006 8
 
0.5%
cdfh3301082008000007 8
 
0.5%
cdfh3301082008000009 8
 
0.5%
cdfh3301082004000001 8
 
0.5%
Other values (480) 1467
94.8%
2023-12-11T02:56:59.173784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12754
41.2%
3 3487
 
11.3%
1 2868
 
9.3%
8 1920
 
6.2%
2 1894
 
6.1%
C 1547
 
5.0%
D 1547
 
5.0%
F 1547
 
5.0%
H 1547
 
5.0%
9 565
 
1.8%
Other values (4) 1264
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24752
80.0%
Uppercase Letter 6188
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12754
51.5%
3 3487
 
14.1%
1 2868
 
11.6%
8 1920
 
7.8%
2 1894
 
7.7%
9 565
 
2.3%
7 393
 
1.6%
6 324
 
1.3%
4 287
 
1.2%
5 260
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 1547
25.0%
D 1547
25.0%
F 1547
25.0%
H 1547
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24752
80.0%
Latin 6188
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12754
51.5%
3 3487
 
14.1%
1 2868
 
11.6%
8 1920
 
7.8%
2 1894
 
7.7%
9 565
 
2.3%
7 393
 
1.6%
6 324
 
1.3%
4 287
 
1.2%
5 260
 
1.1%
Latin
ValueCountFrequency (%)
C 1547
25.0%
D 1547
25.0%
F 1547
25.0%
H 1547
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12754
41.2%
3 3487
 
11.3%
1 2868
 
9.3%
8 1920
 
6.2%
2 1894
 
6.1%
C 1547
 
5.0%
D 1547
 
5.0%
F 1547
 
5.0%
H 1547
 
5.0%
9 565
 
1.8%
Other values (4) 1264
 
4.1%

인허가일자
Real number (ℝ)

Distinct1263
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20079449
Minimum19810108
Maximum20220225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2023-12-11T02:56:59.440782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19810108
5-th percentile19961129
Q120031004
median20080403
Q320120757
95-th percentile20190283
Maximum20220225
Range410117
Interquartile range (IQR)89753

Descriptive statistics

Standard deviation66193.246
Coefficient of variation (CV)0.0032965668
Kurtosis0.32914641
Mean20079449
Median Absolute Deviation (MAD)40825
Skewness-0.24015469
Sum3.1062908 × 1010
Variance4.3815459 × 109
MonotonicityNot monotonic
2023-12-11T02:56:59.660240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070403 6
 
0.4%
20080327 5
 
0.3%
20070810 5
 
0.3%
20090630 4
 
0.3%
20071023 4
 
0.3%
20070405 4
 
0.3%
20070720 4
 
0.3%
20090224 4
 
0.3%
20080828 4
 
0.3%
20070410 4
 
0.3%
Other values (1253) 1503
97.2%
ValueCountFrequency (%)
19810108 1
0.1%
19810716 1
0.1%
19810905 1
0.1%
19811208 1
0.1%
19820429 1
0.1%
19870526 1
0.1%
19880418 1
0.1%
19881028 2
0.1%
19891127 1
0.1%
19900117 2
0.1%
ValueCountFrequency (%)
20220225 1
0.1%
20220120 1
0.1%
20220117 1
0.1%
20211208 1
0.1%
20211119 1
0.1%
20211027 1
0.1%
20210924 1
0.1%
20210628 1
0.1%
20210614 1
0.1%
20210419 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1547
Missing (%)100.0%
Memory size13.7 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
3
973 
1
442 
4
129 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 973
62.9%
1 442
28.6%
4 129
 
8.3%
2 3
 
0.2%

Length

2023-12-11T02:56:59.852632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:57:00.000681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 973
62.9%
1 442
28.6%
4 129
 
8.3%
2 3
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
폐업
973 
영업/정상
442 
취소/말소/만료/정지/중지
129 
휴업
 
3

Length

Max length14
Median length2
Mean length3.8577893
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 973
62.9%
영업/정상 442
28.6%
취소/말소/만료/정지/중지 129
 
8.3%
휴업 3
 
0.2%

Length

2023-12-11T02:57:00.198739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:57:00.370412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 973
62.9%
영업/정상 442
28.6%
취소/말소/만료/정지/중지 129
 
8.3%
휴업 3
 
0.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
3
972 
13
442 
35
129 
2
 
3
34
 
1

Length

Max length2
Median length1
Mean length1.3697479
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 972
62.8%
13 442
28.6%
35 129
 
8.3%
2 3
 
0.2%
34 1
 
0.1%

Length

2023-12-11T02:57:00.566477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:57:00.737581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 972
62.8%
13 442
28.6%
35 129
 
8.3%
2 3
 
0.2%
34 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
폐업
972 
영업중
442 
직권말소
129 
휴업
 
3
영업장폐쇄
 
1

Length

Max length5
Median length2
Mean length2.4544279
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 972
62.8%
영업중 442
28.6%
직권말소 129
 
8.3%
휴업 3
 
0.2%
영업장폐쇄 1
 
0.1%

Length

2023-12-11T02:57:00.930475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:57:01.122503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 972
62.8%
영업중 442
28.6%
직권말소 129
 
8.3%
휴업 3
 
0.2%
영업장폐쇄 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct833
Distinct (%)75.9%
Missing450
Missing (%)29.1%
Infinite0
Infinite (%)0.0%
Mean20126523
Minimum19970307
Maximum20220224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2023-12-11T02:57:01.362063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970307
5-th percentile20040319
Q120090109
median20130124
Q320180504
95-th percentile20200904
Maximum20220224
Range249917
Interquartile range (IQR)90395

Descriptive statistics

Standard deviation53460.536
Coefficient of variation (CV)0.0026562232
Kurtosis-1.0451199
Mean20126523
Median Absolute Deviation (MAD)49401
Skewness-0.15761475
Sum2.2078795 × 1010
Variance2.8580289 × 109
MonotonicityNot monotonic
2023-12-11T02:57:01.600978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190729 21
 
1.4%
20200723 14
 
0.9%
20151201 13
 
0.8%
20181026 11
 
0.7%
20190620 10
 
0.6%
20031201 10
 
0.6%
20170718 10
 
0.6%
20200109 9
 
0.6%
20060310 8
 
0.5%
20180911 6
 
0.4%
Other values (823) 985
63.7%
(Missing) 450
29.1%
ValueCountFrequency (%)
19970307 1
0.1%
19991230 1
0.1%
20000522 1
0.1%
20010130 1
0.1%
20010317 1
0.1%
20020114 1
0.1%
20020527 1
0.1%
20021230 1
0.1%
20030116 1
0.1%
20030326 1
0.1%
ValueCountFrequency (%)
20220224 1
0.1%
20220216 1
0.1%
20220211 1
0.1%
20220204 1
0.1%
20220113 1
0.1%
20220104 1
0.1%
20211230 1
0.1%
20211213 1
0.1%
20211206 1
0.1%
20211130 1
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
1544 
20200601
 
1
20090226
 
1
20210701
 
1

Length

Max length8
Median length4
Mean length4.0077569
Min length4

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1544
99.8%
20200601 1
 
0.1%
20090226 1
 
0.1%
20210701 1
 
0.1%

Length

2023-12-11T02:57:01.826465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:57:02.002082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1544
99.8%
20200601 1
 
0.1%
20090226 1
 
0.1%
20210701 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
1544 
20241231
 
1
20090525
 
1
20211231
 
1

Length

Max length8
Median length4
Mean length4.0077569
Min length4

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1544
99.8%
20241231 1
 
0.1%
20090525 1
 
0.1%
20211231 1
 
0.1%

Length

2023-12-11T02:57:02.247347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:57:02.461126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1544
99.8%
20241231 1
 
0.1%
20090525 1
 
0.1%
20211231 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1547
Missing (%)100.0%
Memory size13.7 KiB

소재지전화
Text

MISSING 

Distinct860
Distinct (%)97.3%
Missing663
Missing (%)42.9%
Memory size12.2 KiB
2023-12-11T02:57:02.783782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.7533937
Min length7

Characters and Unicode

Total characters8622
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

Unique838 ?
Unique (%)94.8%

Sample

1st row070-4045-0991
2nd row0532570006
3rd row422-2623
4th row427-6030
5th row257-8685
ValueCountFrequency (%)
053-761-0504 3
 
0.3%
382-3975 3
 
0.3%
053-621-7829 2
 
0.2%
939-9372 2
 
0.2%
053-644-4439 2
 
0.2%
053-582-0822 2
 
0.2%
621-5556 2
 
0.2%
426-6403 2
 
0.2%
323-1979 2
 
0.2%
624-7891 2
 
0.2%
Other values (850) 862
97.5%
2023-12-11T02:57:03.490046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1236
14.3%
5 1214
14.1%
3 1041
12.1%
0 863
10.0%
9 684
7.9%
2 676
7.8%
6 635
7.4%
7 616
7.1%
8 579
6.7%
1 548
6.4%
Other values (3) 530
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7379
85.6%
Dash Punctuation 1236
 
14.3%
Close Punctuation 6
 
0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1214
16.5%
3 1041
14.1%
0 863
11.7%
9 684
9.3%
2 676
9.2%
6 635
8.6%
7 616
8.3%
8 579
7.8%
1 548
7.4%
4 523
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 1236
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8622
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1236
14.3%
5 1214
14.1%
3 1041
12.1%
0 863
10.0%
9 684
7.9%
2 676
7.8%
6 635
7.4%
7 616
7.1%
8 579
6.7%
1 548
6.4%
Other values (3) 530
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8622
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1236
14.3%
5 1214
14.1%
3 1041
12.1%
0 863
10.0%
9 684
7.9%
2 676
7.8%
6 635
7.4%
7 616
7.1%
8 579
6.7%
1 548
6.4%
Other values (3) 530
6.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1547
Missing (%)100.0%
Memory size13.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct345
Distinct (%)33.1%
Missing505
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean704393.01
Minimum700010
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2023-12-11T02:57:03.770367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation2379.8704
Coefficient of variation (CV)0.0033786116
Kurtosis2.4679357
Mean704393.01
Median Absolute Deviation (MAD)1013
Skewness1.0779998
Sum7.3397751 × 108
Variance5663782.9
MonotonicityNot monotonic
2023-12-11T02:57:04.059778image/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%
704946 11
 
0.7%
702886 11
 
0.7%
704947 11
 
0.7%
702842 10
 
0.6%
711852 10
 
0.6%
Other values (335) 896
57.9%
(Missing) 505
32.6%
ValueCountFrequency (%)
700010 1
 
0.1%
700030 1
 
0.1%
700040 1
 
0.1%
700060 1
 
0.1%
700070 2
 
0.1%
700082 1
 
0.1%
700092 4
0.3%
700093 3
0.2%
700111 2
 
0.1%
700150 6
0.4%
ValueCountFrequency (%)
711891 1
 
0.1%
711874 3
 
0.2%
711873 1
 
0.1%
711872 3
 
0.2%
711864 1
 
0.1%
711857 2
 
0.1%
711852 10
0.6%
711843 2
 
0.1%
711841 1
 
0.1%
711838 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct1378
Distinct (%)92.2%
Missing52
Missing (%)3.4%
Memory size12.2 KiB
2023-12-11T02:57:04.672441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length23.61204
Min length14

Characters and Unicode

Total characters35300
Distinct characters214
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1270 ?
Unique (%)84.9%

Sample

1st row대구광역시 중구 남산동 609-4 3층
2nd row대구광역시 중구 동인동4가 191번지 2층
3rd row대구광역시 중구 대봉동 55-158번지
4th row대구광역시 중구 포정동 51-1
5th row대구광역시 중구 삼덕동1가 22-9번지
ValueCountFrequency (%)
대구광역시 1495
22.1%
달서구 369
 
5.4%
북구 308
 
4.5%
동구 209
 
3.1%
수성구 198
 
2.9%
2층 170
 
2.5%
3층 168
 
2.5%
서구 130
 
1.9%
남구 111
 
1.6%
달성군 92
 
1.4%
Other values (1559) 3525
52.0%
2023-12-11T02:57:05.434456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6753
19.1%
구 2919
 
8.3%
동 1715
 
4.9%
대 1640
 
4.6%
1 1590
 
4.5%
시 1504
 
4.3%
광 1497
 
4.2%
역 1495
 
4.2%
지 1403
 
4.0%
- 1308
 
3.7%
Other values (204) 13476
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19627
55.6%
Decimal Number 7399
 
21.0%
Space Separator 6753
 
19.1%
Dash Punctuation 1308
 
3.7%
Close Punctuation 92
 
0.3%
Open Punctuation 92
 
0.3%
Uppercase Letter 18
 
0.1%
Other Punctuation 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2919
14.9%
동 1715
 
8.7%
대 1640
 
8.4%
시 1504
 
7.7%
광 1497
 
7.6%
역 1495
 
7.6%
지 1403
 
7.1%
번 1285
 
6.5%
층 537
 
2.7%
서 530
 
2.7%
Other values (180) 5102
26.0%
Decimal Number
ValueCountFrequency (%)
1 1590
21.5%
2 1102
14.9%
3 929
12.6%
4 682
9.2%
5 610
 
8.2%
0 572
 
7.7%
6 500
 
6.8%
7 490
 
6.6%
9 463
 
6.3%
8 461
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 8
44.4%
F 4
22.2%
A 2
 
11.1%
M 1
 
5.6%
L 1
 
5.6%
J 1
 
5.6%
D 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 6
54.5%
. 4
36.4%
/ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
6753
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1308
100.0%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19627
55.6%
Common 15655
44.3%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2919
14.9%
동 1715
 
8.7%
대 1640
 
8.4%
시 1504
 
7.7%
광 1497
 
7.6%
역 1495
 
7.6%
지 1403
 
7.1%
번 1285
 
6.5%
층 537
 
2.7%
서 530
 
2.7%
Other values (180) 5102
26.0%
Common
ValueCountFrequency (%)
6753
43.1%
1 1590
 
10.2%
- 1308
 
8.4%
2 1102
 
7.0%
3 929
 
5.9%
4 682
 
4.4%
5 610
 
3.9%
0 572
 
3.7%
6 500
 
3.2%
7 490
 
3.1%
Other values (7) 1119
 
7.1%
Latin
ValueCountFrequency (%)
B 8
44.4%
F 4
22.2%
A 2
 
11.1%
M 1
 
5.6%
L 1
 
5.6%
J 1
 
5.6%
D 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19627
55.6%
ASCII 15673
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6753
43.1%
1 1590
 
10.1%
- 1308
 
8.3%
2 1102
 
7.0%
3 929
 
5.9%
4 682
 
4.4%
5 610
 
3.9%
0 572
 
3.6%
6 500
 
3.2%
7 490
 
3.1%
Other values (14) 1137
 
7.3%
Hangul
ValueCountFrequency (%)
구 2919
14.9%
동 1715
 
8.7%
대 1640
 
8.4%
시 1504
 
7.7%
광 1497
 
7.6%
역 1495
 
7.6%
지 1403
 
7.1%
번 1285
 
6.5%
층 537
 
2.7%
서 530
 
2.7%
Other values (180) 5102
26.0%

도로명전체주소
Text

MISSING 

Distinct1411
Distinct (%)94.7%
Missing57
Missing (%)3.7%
Memory size12.2 KiB
2023-12-11T02:57:06.032951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length46
Mean length26.661074
Min length20

Characters and Unicode

Total characters39725
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

Unique1336 ?
Unique (%)89.7%

Sample

1st row대구광역시 중구 명덕로35길 99, 3층 (남산동)
2nd row대구광역시 중구 국채보상로140길 13, 2층 (동인동4가)
3rd row대구광역시 중구 대봉로 234, 2층 (대봉동)
4th row대구광역시 중구 경상감영길 94, 2층 (포정동)
5th row대구광역시 중구 동성로5길 75 (삼덕동1가)
ValueCountFrequency (%)
대구광역시 1490
 
18.5%
달서구 405
 
5.0%
북구 305
 
3.8%
동구 205
 
2.5%
수성구 192
 
2.4%
2층 149
 
1.8%
서구 136
 
1.7%
3층 122
 
1.5%
남구 108
 
1.3%
달성군 85
 
1.1%
Other values (1409) 4864
60.3%
2023-12-11T02:57:07.058380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7169
18.0%
구 3095
 
7.8%
동 1972
 
5.0%
대 1969
 
5.0%
시 1512
 
3.8%
역 1496
 
3.8%
광 1494
 
3.8%
로 1485
 
3.7%
) 1473
 
3.7%
( 1473
 
3.7%
Other values (250) 16587
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22873
57.6%
Space Separator 7169
 
18.0%
Decimal Number 5681
 
14.3%
Close Punctuation 1473
 
3.7%
Open Punctuation 1473
 
3.7%
Other Punctuation 826
 
2.1%
Dash Punctuation 210
 
0.5%
Uppercase Letter 19
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 3095
 
13.5%
동 1972
 
8.6%
대 1969
 
8.6%
시 1512
 
6.6%
역 1496
 
6.5%
광 1494
 
6.5%
로 1485
 
6.5%
층 721
 
3.2%
서 714
 
3.1%
달 632
 
2.8%
Other values (225) 7783
34.0%
Decimal Number
ValueCountFrequency (%)
1 1088
19.2%
2 980
17.3%
3 816
14.4%
5 539
9.5%
4 510
9.0%
0 383
 
6.7%
6 380
 
6.7%
9 349
 
6.1%
7 321
 
5.7%
8 315
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 9
47.4%
F 4
21.1%
A 2
 
10.5%
L 1
 
5.3%
D 1
 
5.3%
J 1
 
5.3%
M 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 821
99.4%
. 4
 
0.5%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
7169
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1473
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1473
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 210
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22873
57.6%
Common 16833
42.4%
Latin 19
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 3095
 
13.5%
동 1972
 
8.6%
대 1969
 
8.6%
시 1512
 
6.6%
역 1496
 
6.5%
광 1494
 
6.5%
로 1485
 
6.5%
층 721
 
3.2%
서 714
 
3.1%
달 632
 
2.8%
Other values (225) 7783
34.0%
Common
ValueCountFrequency (%)
7169
42.6%
) 1473
 
8.8%
( 1473
 
8.8%
1 1088
 
6.5%
2 980
 
5.8%
, 821
 
4.9%
3 816
 
4.8%
5 539
 
3.2%
4 510
 
3.0%
0 383
 
2.3%
Other values (8) 1581
 
9.4%
Latin
ValueCountFrequency (%)
B 9
47.4%
F 4
21.1%
A 2
 
10.5%
L 1
 
5.3%
D 1
 
5.3%
J 1
 
5.3%
M 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22873
57.6%
ASCII 16852
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7169
42.5%
) 1473
 
8.7%
( 1473
 
8.7%
1 1088
 
6.5%
2 980
 
5.8%
, 821
 
4.9%
3 816
 
4.8%
5 539
 
3.2%
4 510
 
3.0%
0 383
 
2.3%
Other values (15) 1600
 
9.5%
Hangul
ValueCountFrequency (%)
구 3095
 
13.5%
동 1972
 
8.6%
대 1969
 
8.6%
시 1512
 
6.6%
역 1496
 
6.5%
광 1494
 
6.5%
로 1485
 
6.5%
층 721
 
3.2%
서 714
 
3.1%
달 632
 
2.8%
Other values (225) 7783
34.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct407
Distinct (%)56.1%
Missing821
Missing (%)53.1%
Infinite0
Infinite (%)0.0%
Mean125804.97
Minimum41005
Maximum706853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2023-12-11T02:57:07.317224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41005
5-th percentile41106
Q141467.5
median42078
Q342742
95-th percentile704810.25
Maximum706853
Range665848
Interquartile range (IQR)1274.5

Descriptive statistics

Standard deviation220292.67
Coefficient of variation (CV)1.7510649
Kurtosis3.0660137
Mean125804.97
Median Absolute Deviation (MAD)632
Skewness2.2488679
Sum91334410
Variance4.8528862 × 1010
MonotonicityNot monotonic
2023-12-11T02:57:07.587285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41423 21
 
1.4%
41544 8
 
0.5%
42274 8
 
0.5%
41034 7
 
0.5%
41443 7
 
0.5%
42614 6
 
0.4%
41086 6
 
0.4%
41569 6
 
0.4%
42196 6
 
0.4%
42197 6
 
0.4%
Other values (397) 645
41.7%
(Missing) 821
53.1%
ValueCountFrequency (%)
41005 1
 
0.1%
41026 3
0.2%
41029 1
 
0.1%
41034 7
0.5%
41044 1
 
0.1%
41047 1
 
0.1%
41049 2
 
0.1%
41050 1
 
0.1%
41065 2
 
0.1%
41069 2
 
0.1%
ValueCountFrequency (%)
706853 1
0.1%
706837 2
0.1%
706833 1
0.1%
706832 1
0.1%
706827 1
0.1%
706826 1
0.1%
706825 1
0.1%
706824 1
0.1%
706818 1
0.1%
706800 2
0.1%

사업장명
Text

Distinct1085
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
2023-12-11T02:57:08.081846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length6.0116354
Min length2

Characters and Unicode

Total characters9300
Distinct characters480
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique866 ?
Unique (%)56.0%

Sample

1st row원당구장
2nd row에쿠스당구장
3rd row대봉당구장
4th row삼송당구장
5th row동성로 당구클럽
ValueCountFrequency (%)
당구장 163
 
8.6%
당구클럽 132
 
6.9%
tbc당구클럽 21
 
1.1%
tbc당구장 14
 
0.7%
특실당구장 13
 
0.7%
큐당구장 13
 
0.7%
아카데미 11
 
0.6%
스카이당구장 10
 
0.5%
에이스당구장 10
 
0.5%
킹당구장 8
 
0.4%
Other values (1077) 1507
79.2%
2023-12-11T02:57:09.285435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 1495
16.1%
당 1474
15.8%
장 965
 
10.4%
클 479
 
5.2%
럽 477
 
5.1%
355
 
3.8%
스 207
 
2.2%
아 127
 
1.4%
리 97
 
1.0%
이 95
 
1.0%
Other values (470) 3529
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8377
90.1%
Uppercase Letter 431
 
4.6%
Space Separator 355
 
3.8%
Decimal Number 56
 
0.6%
Lowercase Letter 28
 
0.3%
Other Punctuation 27
 
0.3%
Close Punctuation 9
 
0.1%
Open Punctuation 9
 
0.1%
Dash Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1495
17.8%
당 1474
17.6%
장 965
 
11.5%
클 479
 
5.7%
럽 477
 
5.7%
스 207
 
2.5%
아 127
 
1.5%
리 97
 
1.2%
이 95
 
1.1%
드 69
 
0.8%
Other values (414) 2892
34.5%
Uppercase Letter
ValueCountFrequency (%)
B 73
16.9%
C 62
14.4%
T 55
12.8%
S 39
9.0%
K 30
 
7.0%
J 22
 
5.1%
O 20
 
4.6%
M 20
 
4.6%
P 18
 
4.2%
I 16
 
3.7%
Other values (14) 76
17.6%
Lowercase Letter
ValueCountFrequency (%)
k 4
14.3%
e 4
14.3%
a 3
10.7%
r 2
 
7.1%
l 2
 
7.1%
i 2
 
7.1%
s 2
 
7.1%
b 1
 
3.6%
p 1
 
3.6%
o 1
 
3.6%
Other values (6) 6
21.4%
Decimal Number
ValueCountFrequency (%)
2 26
46.4%
1 12
21.4%
5 6
 
10.7%
4 5
 
8.9%
3 3
 
5.4%
0 2
 
3.6%
7 2
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 15
55.6%
& 9
33.3%
# 1
 
3.7%
' 1
 
3.7%
· 1
 
3.7%
Space Separator
ValueCountFrequency (%)
355
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8377
90.1%
Common 464
 
5.0%
Latin 459
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1495
17.8%
당 1474
17.6%
장 965
 
11.5%
클 479
 
5.7%
럽 477
 
5.7%
스 207
 
2.5%
아 127
 
1.5%
리 97
 
1.2%
이 95
 
1.1%
드 69
 
0.8%
Other values (414) 2892
34.5%
Latin
ValueCountFrequency (%)
B 73
15.9%
C 62
13.5%
T 55
12.0%
S 39
 
8.5%
K 30
 
6.5%
J 22
 
4.8%
O 20
 
4.4%
M 20
 
4.4%
P 18
 
3.9%
I 16
 
3.5%
Other values (30) 104
22.7%
Common
ValueCountFrequency (%)
355
76.5%
2 26
 
5.6%
. 15
 
3.2%
1 12
 
2.6%
) 9
 
1.9%
( 9
 
1.9%
& 9
 
1.9%
- 8
 
1.7%
5 6
 
1.3%
4 5
 
1.1%
Other values (6) 10
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8377
90.1%
ASCII 922
 
9.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 1495
17.8%
당 1474
17.6%
장 965
 
11.5%
클 479
 
5.7%
럽 477
 
5.7%
스 207
 
2.5%
아 127
 
1.5%
리 97
 
1.2%
이 95
 
1.1%
드 69
 
0.8%
Other values (414) 2892
34.5%
ASCII
ValueCountFrequency (%)
355
38.5%
B 73
 
7.9%
C 62
 
6.7%
T 55
 
6.0%
S 39
 
4.2%
K 30
 
3.3%
2 26
 
2.8%
J 22
 
2.4%
O 20
 
2.2%
M 20
 
2.2%
Other values (45) 220
23.9%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1547
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0144811 × 1013
Minimum2.0030226 × 1013
Maximum2.0220225 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2023-12-11T02:57:09.546525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030226 × 1013
5-th percentile2.0050121 × 1013
Q12.0101168 × 1013
median2.015113 × 1013
Q32.0190729 × 1013
95-th percentile2.0210727 × 1013
Maximum2.0220225 × 1013
Range1.8999906 × 1011
Interquartile range (IQR)8.956147 × 1010

Descriptive statistics

Standard deviation5.3479285 × 1010
Coefficient of variation (CV)0.0026547424
Kurtosis-0.93226931
Mean2.0144811 × 1013
Median Absolute Deviation (MAD)4.0319024 × 1010
Skewness-0.52406175
Sum3.1164022 × 1016
Variance2.8600339 × 1021
MonotonicityNot monotonic
2023-12-11T02:57:09.802165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210106135556 1
 
0.1%
20130222143930 1
 
0.1%
20160808092034 1
 
0.1%
20061201140756 1
 
0.1%
20210121105540 1
 
0.1%
20191126140221 1
 
0.1%
20120430092212 1
 
0.1%
20200428083159 1
 
0.1%
20070529150745 1
 
0.1%
20190418161441 1
 
0.1%
Other values (1537) 1537
99.4%
ValueCountFrequency (%)
20030226102059 1
0.1%
20030226102727 1
0.1%
20030404174651 1
0.1%
20030410111255 1
0.1%
20030411103220 1
0.1%
20030417113745 1
0.1%
20030421151310 1
0.1%
20030520101448 1
0.1%
20030523155904 1
0.1%
20030602111723 1
0.1%
ValueCountFrequency (%)
20220225163554 1
0.1%
20220224180431 1
0.1%
20220224091851 1
0.1%
20220223140948 1
0.1%
20220222175143 1
0.1%
20220221140605 1
0.1%
20220216092957 1
0.1%
20220211161726 1
0.1%
20220204111559 1
0.1%
20220120162837 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
I
1044 
U
503 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1044
67.5%
U 503
32.5%

Length

2023-12-11T02:57:10.067810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:57:10.295952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1044
67.5%
u 503
32.5%

데이터갱신일자
Date

Distinct343
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-02-27 00:22:37
2023-12-11T02:57:10.566666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:57:10.836633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1547
Missing (%)100.0%
Memory size13.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1222
Distinct (%)80.2%
Missing24
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean342260.43
Minimum326316.83
Maximum356351.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2023-12-11T02:57:11.134184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326316.83
5-th percentile334127.64
Q1339145.63
median341905.53
Q3345950.74
95-th percentile352911.13
Maximum356351.62
Range30034.788
Interquartile range (IQR)6805.1108

Descriptive statistics

Standard deviation5286.1846
Coefficient of variation (CV)0.015444919
Kurtosis0.06866473
Mean342260.43
Median Absolute Deviation (MAD)3425.2293
Skewness0.12867042
Sum5.2126263 × 108
Variance27943747
MonotonicityNot monotonic
2023-12-11T02:57:11.439851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
340319.472097 5
 
0.3%
339763.678525 4
 
0.3%
341806.290847 4
 
0.3%
340058.341412 4
 
0.3%
334127.643645 4
 
0.3%
347783.13626 4
 
0.3%
347937.388222 3
 
0.2%
354187.632432 3
 
0.2%
348063.902968 3
 
0.2%
346113.963474 3
 
0.2%
Other values (1212) 1486
96.1%
(Missing) 24
 
1.6%
ValueCountFrequency (%)
326316.829633 1
0.1%
328015.993727 2
0.1%
328307.68149 1
0.1%
329941.0 1
0.1%
330018.500706 1
0.1%
330046.077683 1
0.1%
330054.777651 1
0.1%
330063.03524 1
0.1%
330111.303556 1
0.1%
330200.771035 1
0.1%
ValueCountFrequency (%)
356351.617491 1
 
0.1%
356247.145225 1
 
0.1%
356109.591069 1
 
0.1%
355759.829285 1
 
0.1%
355738.134502 1
 
0.1%
355737.129429 1
 
0.1%
355736.057101 1
 
0.1%
355729.578668 3
0.2%
355671.833565 1
 
0.1%
355665.232375 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1222
Distinct (%)80.2%
Missing24
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean263505
Minimum240483.18
Maximum273573.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2023-12-11T02:57:11.707409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240483.18
5-th percentile257532.06
Q1261324.37
median263289.3
Q3265939.85
95-th percentile271417.01
Maximum273573.03
Range33089.854
Interquartile range (IQR)4615.483

Descriptive statistics

Standard deviation4530.4619
Coefficient of variation (CV)0.017193077
Kurtosis4.1193338
Mean263505
Median Absolute Deviation (MAD)2179.3773
Skewness-0.99636226
Sum4.0131812 × 108
Variance20525085
MonotonicityNot monotonic
2023-12-11T02:57:11.995643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264923.875002 5
 
0.3%
272190.882495 4
 
0.3%
263685.956304 4
 
0.3%
260383.014927 4
 
0.3%
262155.282763 4
 
0.3%
267178.563806 4
 
0.3%
259367.515935 3
 
0.2%
261327.018181 3
 
0.2%
259264.535727 3
 
0.2%
265901.139558 3
 
0.2%
Other values (1212) 1486
96.1%
(Missing) 24
 
1.6%
ValueCountFrequency (%)
240483.177406 2
0.1%
240491.096813 1
0.1%
244518.668328 1
0.1%
244534.0 1
0.1%
244558.0 1
0.1%
244641.607034 1
0.1%
244658.0 1
0.1%
244698.0 1
0.1%
244716.148763 1
0.1%
244735.480978 1
0.1%
ValueCountFrequency (%)
273573.031508 1
 
0.1%
273541.143414 3
0.2%
273506.093893 1
 
0.1%
273465.491746 1
 
0.1%
272899.885634 1
 
0.1%
272729.594573 1
 
0.1%
272695.123588 2
0.1%
272656.837766 1
 
0.1%
272656.031204 1
 
0.1%
272633.741088 1
 
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
당구장업
1547 

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 1547
100.0%

Length

2023-12-11T02:57:12.257563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:57:12.414605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 1547
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
사립
1547 

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 1547
100.0%

Length

2023-12-11T02:57:12.583653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:57:12.728284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1547
100.0%

보험가입여부코드
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
1085 
0
461 
Y
 
1

Length

Max length4
Median length4
Mean length3.1040724
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> 1085
70.1%
0 461
29.8%
Y 1
 
0.1%

Length

2023-12-11T02:57:12.887666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:57:13.075902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1085
70.1%
0 461
29.8%
y 1
 
0.1%

지도자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
1494 
0
 
52
1
 
1

Length

Max length4
Median length4
Mean length3.8972204
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1494
96.6%
0 52
 
3.4%
1 1
 
0.1%

Length

2023-12-11T02:57:13.269166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:57:13.457429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1494
96.6%
0 52
 
3.4%
1 1
 
0.1%

건축물동수
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
1267 
1
232 
0
 
48

Length

Max length4
Median length4
Mean length3.4570136
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1267
81.9%
1 232
 
15.0%
0 48
 
3.1%

Length

2023-12-11T02:57:13.678139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:57:13.864287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1267
81.9%
1 232
 
15.0%
0 48
 
3.1%

건축물연면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct384
Distinct (%)86.5%
Missing1103
Missing (%)71.3%
Infinite0
Infinite (%)0.0%
Mean2684.3468
Minimum0
Maximum583286
Zeros36
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2023-12-11T02:57:14.053257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1461.4125
median933.32
Q31541.295
95-th percentile3852.1425
Maximum583286
Range583286
Interquartile range (IQR)1079.8825

Descriptive statistics

Standard deviation27864.597
Coefficient of variation (CV)10.380401
Kurtosis428.38406
Mean2684.3468
Median Absolute Deviation (MAD)545.985
Skewness20.552499
Sum1191850
Variance7.7643574 × 108
MonotonicityNot monotonic
2023-12-11T02:57:14.275232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 36
 
2.3%
1065.09 3
 
0.2%
1010.0 3
 
0.2%
1414.59 2
 
0.1%
1727.89 2
 
0.1%
1569.05 2
 
0.1%
2271.39 2
 
0.1%
2005.62 2
 
0.1%
1237.59 2
 
0.1%
286.56 2
 
0.1%
Other values (374) 388
 
25.1%
(Missing) 1103
71.3%
ValueCountFrequency (%)
0.0 36
2.3%
99.0 1
 
0.1%
108.36 1
 
0.1%
114.72 1
 
0.1%
115.7 1
 
0.1%
133.04 1
 
0.1%
134.12 1
 
0.1%
136.86 1
 
0.1%
141.23 1
 
0.1%
142.5 1
 
0.1%
ValueCountFrequency (%)
583286.0 1
0.1%
74943.96 1
0.1%
8250.07 1
0.1%
7435.21 1
0.1%
7388.85 1
0.1%
7325.67 1
0.1%
6593.98 1
0.1%
6418.38 1
0.1%
5582.74 1
0.1%
5373.86 2
0.1%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
1495 
0
 
52

Length

Max length4
Median length4
Mean length3.8991597
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1495
96.6%
0 52
 
3.4%

Length

2023-12-11T02:57:14.528064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:57:14.720531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1495
96.6%
0 52
 
3.4%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1547
Missing (%)100.0%
Memory size13.7 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1547
Missing (%)100.0%
Memory size13.7 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
01당구장업10_32_01_P3410000CDFH330108201400000120140616<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>700835대구광역시 중구 남산동 609-4 3층대구광역시 중구 명덕로35길 99, 3층 (남산동)41969원당구장20210106135556U2021-01-08 02:40:00.0<NA>343517.568849263484.130401당구장업사립<NA><NA><NA>938.26<NA><NA><NA>
12당구장업10_32_01_P3410000CDFH330108201500000120150102<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4045-0991<NA>700847대구광역시 중구 동인동4가 191번지 2층대구광역시 중구 국채보상로140길 13, 2층 (동인동4가)41945에쿠스당구장20190306090145U2019-03-08 02:40:00.0<NA>345020.533281264307.377889당구장업사립<NA><NA><NA>269.01<NA><NA><NA>
23당구장업10_32_01_P3410000CDFH330108201900000120190917<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 55-158번지대구광역시 중구 대봉로 234, 2층 (대봉동)41954대봉당구장20190930200515U2019-10-02 02:40:00.0<NA>344566.928725263329.604083당구장업사립<NA><NA><NA>455.15<NA><NA><NA>
34당구장업10_32_01_P3410000CDFH330108202100000220211119<NA>1영업/정상13영업중<NA><NA><NA><NA>0532570006<NA><NA>대구광역시 중구 포정동 51-1대구광역시 중구 경상감영길 94, 2층 (포정동)41918삼송당구장20211119140004I2021-11-21 00:22:44.0<NA>343763.193192264661.192007당구장업사립<NA>000.00<NA><NA>
45당구장업10_32_01_P3410000CDFH330108201800000220181205<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 22-9번지대구광역시 중구 동성로5길 75 (삼덕동1가)41941동성로 당구클럽20181205094824I2018-12-07 02:20:08.0<NA>344317.257584264199.131562당구장업사립<NA><NA><NA><NA><NA><NA><NA>
56당구장업10_32_01_P3410000CDFH330108202100000120210107<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 55-94대구광역시 중구 대봉로 238, 2층 (대봉동)41954에이스 당구클럽20210107172459I2021-01-09 00:23:05.0<NA>344559.243778263362.744892당구장업사립<NA><NA><NA>1414.59<NA><NA><NA>
67당구장업10_32_01_P3410000CDFH330108200900000920091221<NA>3폐업34영업장폐쇄20190603<NA><NA><NA>422-2623<NA>700111대구광역시 중구 태평로1가 21-5번지 4층대구광역시 중구 태평로 204, 4층 (태평로1가)41910현대당구장20190614093312U2019-06-16 02:40:00.0<NA>344408.347973264922.846515당구장업사립<NA><NA><NA>2813.5<NA><NA><NA>
78당구장업10_32_01_P3410000CDFH330108200000000220000309<NA>4취소/말소/만료/정지/중지35직권말소20090618<NA><NA><NA>427-6030<NA>700413대구광역시 중구 삼덕동3가 140-1번지<NA><NA>드림당구장20090623175557I2018-08-31 23:59:59.0<NA>345402.080819264059.128198당구장업사립<NA><NA><NA><NA><NA><NA><NA>
89당구장업10_32_01_P3410000CDFH330108200100000220011030<NA>4취소/말소/만료/정지/중지35직권말소20090409<NA><NA><NA>257-8685<NA>700060대구광역시 중구 남일동 53-5번지<NA><NA>은일빌리아드20090413165428I2018-08-31 23:59:59.0<NA>343845.986598264521.709376당구장업사립0<NA><NA>157.89<NA><NA><NA>
910당구장업10_32_01_P3410000CDFH330108200800000320080116<NA>4취소/말소/만료/정지/중지35직권말소20140404<NA><NA><NA><NA><NA>700411대구광역시 중구 삼덕동1가 22-9번지 3층대구광역시 중구 동성로5길 75, 3층 (삼덕동1가)700411로데오 당구장20140404183113I2018-08-31 23:59:59.0<NA>344317.257584264199.131562당구장업사립<NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
15371538당구장업10_32_01_P3480000CDFH330108201200000120120104<NA>3폐업3폐업20180724<NA><NA><NA><NA><NA>711891대구광역시 달성군 구지면 응암리 1189-1번지대구광역시 달성군 구지면 과학마을로 3043009W당구장20180912140450U2018-09-12 23:59:59.0<NA>328015.993727240483.177406당구장업사립<NA><NA><NA><NA><NA><NA><NA>
15381539당구장업10_32_01_P3480000CDFH330108201300000220130418<NA>3폐업3폐업20181227<NA><NA><NA><NA><NA>711872대구광역시 달성군 현풍읍 성하리 402-6번지대구광역시 달성군 현풍읍 현풍중앙로 11143000J당구장20181227151347U2018-12-29 02:40:00.0<NA>330307.296209245252.052382당구장업사립<NA><NA>11293.63<NA><NA><NA>
15391540당구장업10_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>
15401541당구장업10_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>
15411542당구장업10_32_01_P3480000CDFH330108201500000120151118<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 부리 433-2 5층대구광역시 달성군 현풍읍 비슬로134길 107, 5층42999현풍당구클럽20220224091851U2022-02-26 02:40:00.0<NA>330724.0245028.0당구장업사립<NA><NA><NA><NA><NA><NA><NA>
15421543당구장업10_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>
15431544당구장업10_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>
15441545당구장업10_32_01_P3480000CDFH330108201600000220160224<NA>1영업/정상13영업중<NA><NA><NA><NA>053-588-3975<NA><NA>대구광역시 달성군 다사읍 매곡리 699-2번지 다사빌딩 2층대구광역시 달성군 다사읍 다사역로 5, 다사빌딩 2층42908다사 당구클럽20200403164654U2020-04-05 02:40:00.0<NA>331727.700751263543.593761당구장업사립<NA><NA><NA><NA><NA><NA><NA>
15451546당구장업10_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>
15461547당구장업10_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>