Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells101465
Missing cells (%)21.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 MiB
Average record size in memory413.0 B

Variable types

Numeric12
Categorical19
Text6
Unsupported8
DateTime1
Boolean1

Dataset

Description22년02월_6270000_대구광역시_07_24_04_P_일반음식점
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092528&dataSetDetailId=DDI_0000092582&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
급수시설구분명 is highly imbalanced (67.5%)Imbalance
총종업원수 is highly imbalanced (60.1%)Imbalance
본사종업원수 is highly imbalanced (60.0%)Imbalance
공장사무직종업원수 is highly imbalanced (60.0%)Imbalance
공장판매직종업원수 is highly imbalanced (60.0%)Imbalance
공장생산직종업원수 is highly imbalanced (60.0%)Imbalance
보증액 is highly imbalanced (60.0%)Imbalance
월세액 is highly imbalanced (60.0%)Imbalance
다중이용업소여부 is highly imbalanced (77.7%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 3703 (37.0%) missing valuesMissing
휴업시작일자 has 10000 (100.0%) missing valuesMissing
휴업종료일자 has 10000 (100.0%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지전화 has 2567 (25.7%) missing valuesMissing
소재지면적 has 141 (1.4%) missing valuesMissing
소재지우편번호 has 126 (1.3%) missing valuesMissing
도로명전체주소 has 3619 (36.2%) missing valuesMissing
도로명우편번호 has 3717 (37.2%) missing valuesMissing
좌표정보(X) has 368 (3.7%) missing valuesMissing
좌표정보(Y) has 368 (3.7%) missing valuesMissing
남성종사자수 has 3510 (35.1%) missing valuesMissing
여성종사자수 has 3344 (33.4%) missing valuesMissing
건물소유구분명 has 10000 (100.0%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 10000 (100.0%) missing valuesMissing
여성종사자수 is highly skewed (γ1 = 27.44479663)Skewed
시설총규모 is highly skewed (γ1 = 31.74750068)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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
건물소유구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
남성종사자수 has 5304 (53.0%) zerosZeros
여성종사자수 has 5021 (50.2%) zerosZeros
시설총규모 has 163 (1.6%) zerosZeros

Reproduction

Analysis started2024-04-18 02:56:15.126665
Analysis finished2024-04-18 02:56:17.162281
Duration2.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41684.844
Minimum13
Maximum83415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:56:17.225019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile4376.95
Q121082
median41567
Q362369.25
95-th percentile79290.05
Maximum83415
Range83402
Interquartile range (IQR)41287.25

Descriptive statistics

Standard deviation23994.624
Coefficient of variation (CV)0.57561985
Kurtosis-1.1936809
Mean41684.844
Median Absolute Deviation (MAD)20620.5
Skewness0.01358718
Sum4.1684844 × 108
Variance5.7574196 × 108
MonotonicityNot monotonic
2024-04-18T11:56:17.337345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44682 1
 
< 0.1%
16943 1
 
< 0.1%
1974 1
 
< 0.1%
19146 1
 
< 0.1%
20218 1
 
< 0.1%
41422 1
 
< 0.1%
29507 1
 
< 0.1%
78878 1
 
< 0.1%
66667 1
 
< 0.1%
17117 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
13 1
< 0.1%
27 1
< 0.1%
51 1
< 0.1%
63 1
< 0.1%
67 1
< 0.1%
68 1
< 0.1%
74 1
< 0.1%
76 1
< 0.1%
78 1
< 0.1%
96 1
< 0.1%
ValueCountFrequency (%)
83415 1
< 0.1%
83396 1
< 0.1%
83387 1
< 0.1%
83367 1
< 0.1%
83360 1
< 0.1%
83347 1
< 0.1%
83345 1
< 0.1%
83332 1
< 0.1%
83330 1
< 0.1%
83329 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 10000
100.0%

Length

2024-04-18T11:56:17.440581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:17.520818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 10000
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
07_24_04_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_24_04_P
2nd row07_24_04_P
3rd row07_24_04_P
4th row07_24_04_P
5th row07_24_04_P

Common Values

ValueCountFrequency (%)
07_24_04_P 10000
100.0%

Length

2024-04-18T11:56:17.602732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:17.684462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_24_04_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3447515
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:56:17.755286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation21691.054
Coefficient of variation (CV)0.006291794
Kurtosis-1.1732003
Mean3447515
Median Absolute Deviation (MAD)20000
Skewness-0.28693752
Sum3.447515 × 1010
Variance4.7050183 × 108
MonotonicityNot monotonic
2024-04-18T11:56:17.848666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2031
20.3%
3450000 1623
16.2%
3460000 1581
15.8%
3420000 1352
13.5%
3430000 959
9.6%
3410000 900
9.0%
3440000 804
 
8.0%
3480000 750
 
7.5%
ValueCountFrequency (%)
3410000 900
9.0%
3420000 1352
13.5%
3430000 959
9.6%
3440000 804
 
8.0%
3450000 1623
16.2%
3460000 1581
15.8%
3470000 2031
20.3%
3480000 750
 
7.5%
ValueCountFrequency (%)
3480000 750
 
7.5%
3470000 2031
20.3%
3460000 1581
15.8%
3450000 1623
16.2%
3440000 804
 
8.0%
3430000 959
9.6%
3420000 1352
13.5%
3410000 900
9.0%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T11:56:18.014981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters220000
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st row3450000-101-2005-00001
2nd row3440000-101-2002-00280
3rd row3430000-101-1999-00055
4th row3450000-101-2020-00209
5th row3450000-101-2008-00223
ValueCountFrequency (%)
3450000-101-2005-00001 1
 
< 0.1%
3480000-101-2009-00021 1
 
< 0.1%
3410000-101-1995-00083 1
 
< 0.1%
3470000-101-2002-00464 1
 
< 0.1%
3410000-101-1997-00127 1
 
< 0.1%
3430000-101-2001-00144 1
 
< 0.1%
3430000-101-2002-01920 1
 
< 0.1%
3450000-101-2006-00415 1
 
< 0.1%
3440000-101-2007-00018 1
 
< 0.1%
3420000-101-2017-00173 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-18T11:56:18.323257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 89041
40.5%
1 32151
 
14.6%
- 30000
 
13.6%
2 15678
 
7.1%
3 14971
 
6.8%
4 14296
 
6.5%
9 5771
 
2.6%
7 5077
 
2.3%
5 4618
 
2.1%
6 4575
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 190000
86.4%
Dash Punctuation 30000
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 89041
46.9%
1 32151
 
16.9%
2 15678
 
8.3%
3 14971
 
7.9%
4 14296
 
7.5%
9 5771
 
3.0%
7 5077
 
2.7%
5 4618
 
2.4%
6 4575
 
2.4%
8 3822
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 89041
40.5%
1 32151
 
14.6%
- 30000
 
13.6%
2 15678
 
7.1%
3 14971
 
6.8%
4 14296
 
6.5%
9 5771
 
2.6%
7 5077
 
2.3%
5 4618
 
2.1%
6 4575
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 89041
40.5%
1 32151
 
14.6%
- 30000
 
13.6%
2 15678
 
7.1%
3 14971
 
6.8%
4 14296
 
6.5%
9 5771
 
2.6%
7 5077
 
2.3%
5 4618
 
2.1%
6 4575
 
2.1%

인허가일자
Real number (ℝ)

Distinct5462
Distinct (%)54.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20065939
Minimum19650312
Maximum20220225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:56:18.462531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19650312
5-th percentile19930424
Q120010411
median20060126
Q320140917
95-th percentile20200812
Maximum20220225
Range569913
Interquartile range (IQR)130506

Descriptive statistics

Standard deviation88670.906
Coefficient of variation (CV)0.0044189761
Kurtosis0.097253981
Mean20065939
Median Absolute Deviation (MAD)59994.5
Skewness-0.33102203
Sum2.0065939 × 1011
Variance7.8625296 × 109
MonotonicityNot monotonic
2024-04-18T11:56:18.590220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000209 17
 
0.2%
20000222 16
 
0.2%
20000121 16
 
0.2%
20000214 15
 
0.1%
20000215 14
 
0.1%
20000217 13
 
0.1%
20000216 13
 
0.1%
20000126 13
 
0.1%
20000221 12
 
0.1%
20000218 12
 
0.1%
Other values (5452) 9859
98.6%
ValueCountFrequency (%)
19650312 1
< 0.1%
19650818 1
< 0.1%
19700314 1
< 0.1%
19700506 1
< 0.1%
19700624 1
< 0.1%
19710521 1
< 0.1%
19720119 1
< 0.1%
19720216 1
< 0.1%
19720217 1
< 0.1%
19720525 1
< 0.1%
ValueCountFrequency (%)
20220225 1
 
< 0.1%
20220223 1
 
< 0.1%
20220222 1
 
< 0.1%
20220218 1
 
< 0.1%
20220217 1
 
< 0.1%
20220216 1
 
< 0.1%
20220214 1
 
< 0.1%
20220211 4
< 0.1%
20220209 3
< 0.1%
20220208 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
6297 
1
3703 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 6297
63.0%
1 3703
37.0%

Length

2024-04-18T11:56:18.716736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:18.802779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 6297
63.0%
1 3703
37.0%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6297 
영업/정상
3703 

Length

Max length5
Median length2
Mean length3.1109
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6297
63.0%
영업/정상 3703
37.0%

Length

2024-04-18T11:56:18.905607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:18.987541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6297
63.0%
영업/정상 3703
37.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
6297 
1
3703 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row1
5th row2

Common Values

ValueCountFrequency (%)
2 6297
63.0%
1 3703
37.0%

Length

2024-04-18T11:56:19.071423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:19.151396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 6297
63.0%
1 3703
37.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6297 
영업
3703 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6297
63.0%
영업 3703
37.0%

Length

2024-04-18T11:56:19.231869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:19.309888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6297
63.0%
영업 3703
37.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct3462
Distinct (%)55.0%
Missing3703
Missing (%)37.0%
Infinite0
Infinite (%)0.0%
Mean20109213
Minimum19990705
Maximum20220228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:56:19.424944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990705
5-th percentile20021216
Q120051220
median20100727
Q320161028
95-th percentile20210202
Maximum20220228
Range229523
Interquartile range (IQR)109808

Descriptive statistics

Standard deviation60573.288
Coefficient of variation (CV)0.0030122157
Kurtosis-1.271953
Mean20109213
Median Absolute Deviation (MAD)50223
Skewness0.19815899
Sum1.2662771 × 1011
Variance3.6691232 × 109
MonotonicityNot monotonic
2024-04-18T11:56:19.553885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021216 25
 
0.2%
20080407 18
 
0.2%
20071030 17
 
0.2%
20051108 11
 
0.1%
20051129 9
 
0.1%
20160801 9
 
0.1%
20080429 8
 
0.1%
20060131 8
 
0.1%
20071221 8
 
0.1%
20070116 7
 
0.1%
Other values (3452) 6177
61.8%
(Missing) 3703
37.0%
ValueCountFrequency (%)
19990705 1
< 0.1%
20000105 1
< 0.1%
20000124 1
< 0.1%
20000127 1
< 0.1%
20000128 1
< 0.1%
20000129 1
< 0.1%
20000217 1
< 0.1%
20000222 1
< 0.1%
20000302 1
< 0.1%
20000404 1
< 0.1%
ValueCountFrequency (%)
20220228 5
0.1%
20220225 4
< 0.1%
20220222 2
 
< 0.1%
20220216 1
 
< 0.1%
20220215 1
 
< 0.1%
20220211 1
 
< 0.1%
20220210 2
 
< 0.1%
20220209 2
 
< 0.1%
20220204 1
 
< 0.1%
20220203 2
 
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지전화
Text

MISSING 

Distinct7377
Distinct (%)99.2%
Missing2567
Missing (%)25.7%
Memory size156.2 KiB
2024-04-18T11:56:19.851993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.583748
Min length2

Characters and Unicode

Total characters78669
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7328 ?
Unique (%)98.6%

Sample

1st row053 3118820
2nd row053 4744741
3rd row053 3538644
4th row053 326 8979
5th row053 7681185
ValueCountFrequency (%)
053 5696
37.3%
070 34
 
0.2%
622 33
 
0.2%
611 30
 
0.2%
767 30
 
0.2%
965 27
 
0.2%
621 26
 
0.2%
791 23
 
0.2%
586 23
 
0.2%
781 21
 
0.1%
Other values (7232) 9319
61.1%
2024-04-18T11:56:20.261099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 13466
17.1%
3 11525
14.6%
0 10217
13.0%
7932
10.1%
2 6152
7.8%
6 5925
7.5%
7 5147
 
6.5%
9 4903
 
6.2%
4 4548
 
5.8%
8 4446
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 70737
89.9%
Space Separator 7932
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 13466
19.0%
3 11525
16.3%
0 10217
14.4%
2 6152
8.7%
6 5925
8.4%
7 5147
 
7.3%
9 4903
 
6.9%
4 4548
 
6.4%
8 4446
 
6.3%
1 4408
 
6.2%
Space Separator
ValueCountFrequency (%)
7932
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 78669
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 13466
17.1%
3 11525
14.6%
0 10217
13.0%
7932
10.1%
2 6152
7.8%
6 5925
7.5%
7 5147
 
6.5%
9 4903
 
6.2%
4 4548
 
5.8%
8 4446
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 78669
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 13466
17.1%
3 11525
14.6%
0 10217
13.0%
7932
10.1%
2 6152
7.8%
6 5925
7.5%
7 5147
 
6.5%
9 4903
 
6.2%
4 4548
 
5.8%
8 4446
 
5.7%

소재지면적
Text

MISSING 

Distinct5525
Distinct (%)56.0%
Missing141
Missing (%)1.4%
Memory size156.2 KiB
2024-04-18T11:56:20.586604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.1712141
Min length3

Characters and Unicode

Total characters50983
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3761 ?
Unique (%)38.1%

Sample

1st row56.10
2nd row24.96
3rd row136.50
4th row86.92
5th row60.42
ValueCountFrequency (%)
00 71
 
0.7%
26.40 41
 
0.4%
30.00 36
 
0.4%
40.00 35
 
0.4%
33.00 30
 
0.3%
24.00 28
 
0.3%
36.00 27
 
0.3%
32.00 24
 
0.2%
45.00 23
 
0.2%
20.00 23
 
0.2%
Other values (5515) 9521
96.6%
2024-04-18T11:56:20.996930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 9859
19.3%
0 6996
13.7%
2 5080
10.0%
1 4505
8.8%
3 4123
8.1%
4 4073
8.0%
5 3732
 
7.3%
6 3596
 
7.1%
8 3266
 
6.4%
7 2925
 
5.7%
Other values (2) 2828
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41110
80.6%
Other Punctuation 9873
 
19.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6996
17.0%
2 5080
12.4%
1 4505
11.0%
3 4123
10.0%
4 4073
9.9%
5 3732
9.1%
6 3596
8.7%
8 3266
7.9%
7 2925
7.1%
9 2814
6.8%
Other Punctuation
ValueCountFrequency (%)
. 9859
99.9%
, 14
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 50983
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 9859
19.3%
0 6996
13.7%
2 5080
10.0%
1 4505
8.8%
3 4123
8.1%
4 4073
8.0%
5 3732
 
7.3%
6 3596
 
7.1%
8 3266
 
6.4%
7 2925
 
5.7%
Other values (2) 2828
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50983
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 9859
19.3%
0 6996
13.7%
2 5080
10.0%
1 4505
8.8%
3 4123
8.1%
4 4073
8.0%
5 3732
 
7.3%
6 3596
 
7.1%
8 3266
 
6.4%
7 2925
 
5.7%
Other values (2) 2828
 
5.5%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct659
Distinct (%)6.7%
Missing126
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean704366.48
Minimum700010
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:56:21.126300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700413
Q1702130
median704080
Q3705825
95-th percentile711814
Maximum711893
Range11883
Interquartile range (IQR)3695

Descriptive statistics

Standard deviation2739.3736
Coefficient of variation (CV)0.0038891311
Kurtosis1.1567586
Mean704366.48
Median Absolute Deviation (MAD)1747
Skewness0.96882463
Sum6.9549147 × 109
Variance7504167.7
MonotonicityNot monotonic
2024-04-18T11:56:21.245527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704080 113
 
1.1%
706170 103
 
1.0%
704060 93
 
0.9%
706801 91
 
0.9%
711852 88
 
0.9%
700411 87
 
0.9%
702886 83
 
0.8%
702040 81
 
0.8%
704910 75
 
0.8%
704922 68
 
0.7%
Other values (649) 8992
89.9%
(Missing) 126
 
1.3%
ValueCountFrequency (%)
700010 6
 
0.1%
700020 12
0.1%
700030 3
 
< 0.1%
700040 10
 
0.1%
700060 16
0.2%
700070 18
0.2%
700081 2
 
< 0.1%
700082 14
0.1%
700091 8
 
0.1%
700092 26
0.3%
ValueCountFrequency (%)
711893 2
 
< 0.1%
711892 2
 
< 0.1%
711891 40
0.4%
711874 17
0.2%
711873 17
0.2%
711872 12
 
0.1%
711871 1
 
< 0.1%
711864 13
 
0.1%
711863 18
0.2%
711862 8
 
0.1%
Distinct9467
Distinct (%)94.7%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2024-04-18T11:56:21.556260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length55
Mean length24.5015
Min length16

Characters and Unicode

Total characters244966
Distinct characters426
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9024 ?
Unique (%)90.3%

Sample

1st row대구광역시 북구 동천동 917-7번지
2nd row대구광역시 남구 봉덕동 550-8번지
3rd row대구광역시 서구 원대동2가 88번지 금류상가 108동 109호
4th row대구광역시 북구 연경동 956-1
5th row대구광역시 북구 태전동 1074-25번지
ValueCountFrequency (%)
대구광역시 9998
22.1%
달서구 2028
 
4.5%
북구 1623
 
3.6%
수성구 1581
 
3.5%
동구 1352
 
3.0%
서구 959
 
2.1%
중구 900
 
2.0%
남구 804
 
1.8%
달성군 751
 
1.7%
지상1층 580
 
1.3%
Other values (10119) 24680
54.5%
2024-04-18T11:56:22.003264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44923
18.3%
19511
 
8.0%
1 12960
 
5.3%
11391
 
4.7%
11097
 
4.5%
10131
 
4.1%
10023
 
4.1%
10016
 
4.1%
9379
 
3.8%
- 8646
 
3.5%
Other values (416) 96889
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134078
54.7%
Decimal Number 54591
22.3%
Space Separator 44923
 
18.3%
Dash Punctuation 8646
 
3.5%
Open Punctuation 973
 
0.4%
Close Punctuation 969
 
0.4%
Other Punctuation 555
 
0.2%
Uppercase Letter 208
 
0.1%
Math Symbol 18
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
19511
14.6%
11391
 
8.5%
11097
 
8.3%
10131
 
7.6%
10023
 
7.5%
10016
 
7.5%
9379
 
7.0%
7701
 
5.7%
3266
 
2.4%
3120
 
2.3%
Other values (374) 38443
28.7%
Uppercase Letter
ValueCountFrequency (%)
A 74
35.6%
B 48
23.1%
C 14
 
6.7%
T 10
 
4.8%
P 8
 
3.8%
S 7
 
3.4%
M 6
 
2.9%
D 6
 
2.9%
F 5
 
2.4%
K 5
 
2.4%
Other values (9) 25
 
12.0%
Decimal Number
ValueCountFrequency (%)
1 12960
23.7%
0 8021
14.7%
2 6620
12.1%
3 5146
 
9.4%
4 4332
 
7.9%
5 4082
 
7.5%
6 3535
 
6.5%
8 3466
 
6.3%
7 3297
 
6.0%
9 3132
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 492
88.6%
. 26
 
4.7%
/ 19
 
3.4%
@ 16
 
2.9%
· 1
 
0.2%
: 1
 
0.2%
Space Separator
ValueCountFrequency (%)
44923
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8646
100.0%
Open Punctuation
ValueCountFrequency (%)
( 973
100.0%
Close Punctuation
ValueCountFrequency (%)
) 969
100.0%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134077
54.7%
Common 110676
45.2%
Latin 212
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
19511
14.6%
11391
 
8.5%
11097
 
8.3%
10131
 
7.6%
10023
 
7.5%
10016
 
7.5%
9379
 
7.0%
7701
 
5.7%
3266
 
2.4%
3120
 
2.3%
Other values (373) 38442
28.7%
Common
ValueCountFrequency (%)
44923
40.6%
1 12960
 
11.7%
- 8646
 
7.8%
0 8021
 
7.2%
2 6620
 
6.0%
3 5146
 
4.6%
4 4332
 
3.9%
5 4082
 
3.7%
6 3535
 
3.2%
8 3466
 
3.1%
Other values (12) 8945
 
8.1%
Latin
ValueCountFrequency (%)
A 74
34.9%
B 48
22.6%
C 14
 
6.6%
T 10
 
4.7%
P 8
 
3.8%
S 7
 
3.3%
M 6
 
2.8%
D 6
 
2.8%
F 5
 
2.4%
K 5
 
2.4%
Other values (10) 29
 
13.7%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134077
54.7%
ASCII 110887
45.3%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44923
40.5%
1 12960
 
11.7%
- 8646
 
7.8%
0 8021
 
7.2%
2 6620
 
6.0%
3 5146
 
4.6%
4 4332
 
3.9%
5 4082
 
3.7%
6 3535
 
3.2%
8 3466
 
3.1%
Other values (31) 9156
 
8.3%
Hangul
ValueCountFrequency (%)
19511
14.6%
11391
 
8.5%
11097
 
8.3%
10131
 
7.6%
10023
 
7.5%
10016
 
7.5%
9379
 
7.0%
7701
 
5.7%
3266
 
2.4%
3120
 
2.3%
Other values (373) 38442
28.7%
CJK
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct6184
Distinct (%)96.9%
Missing3619
Missing (%)36.2%
Memory size156.2 KiB
2024-04-18T11:56:22.331670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length56
Mean length28.728883
Min length19

Characters and Unicode

Total characters183319
Distinct characters447
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6019 ?
Unique (%)94.3%

Sample

1st row대구광역시 북구 연경중앙로 3, 109,110호 (연경동)
2nd row대구광역시 북구 태암남로 12 (태전동)
3rd row대구광역시 수성구 무학로21안길 96, 1층 (두산동)
4th row대구광역시 달서구 성당로47길 6, 1층 (두류동)
5th row대구광역시 동구 파계로138길 19 (중대동)
ValueCountFrequency (%)
대구광역시 6381
 
17.3%
1층 1890
 
5.1%
달서구 1295
 
3.5%
북구 1042
 
2.8%
수성구 959
 
2.6%
동구 918
 
2.5%
중구 590
 
1.6%
달성군 552
 
1.5%
서구 549
 
1.5%
남구 476
 
1.3%
Other values (4594) 22271
60.3%
2024-04-18T11:56:22.795909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30549
 
16.7%
13127
 
7.2%
1 8731
 
4.8%
8381
 
4.6%
8312
 
4.5%
6563
 
3.6%
6452
 
3.5%
6395
 
3.5%
( 6249
 
3.4%
) 6249
 
3.4%
Other values (437) 82311
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104811
57.2%
Space Separator 30549
 
16.7%
Decimal Number 29382
 
16.0%
Open Punctuation 6249
 
3.4%
Close Punctuation 6249
 
3.4%
Other Punctuation 4325
 
2.4%
Dash Punctuation 1483
 
0.8%
Uppercase Letter 227
 
0.1%
Math Symbol 31
 
< 0.1%
Lowercase Letter 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13127
 
12.5%
8381
 
8.0%
8312
 
7.9%
6563
 
6.3%
6452
 
6.2%
6395
 
6.1%
6174
 
5.9%
3511
 
3.3%
3054
 
2.9%
2524
 
2.4%
Other values (387) 40318
38.5%
Uppercase Letter
ValueCountFrequency (%)
A 67
29.5%
B 54
23.8%
C 13
 
5.7%
S 11
 
4.8%
M 9
 
4.0%
E 9
 
4.0%
D 8
 
3.5%
T 8
 
3.5%
W 6
 
2.6%
K 6
 
2.6%
Other values (12) 36
15.9%
Decimal Number
ValueCountFrequency (%)
1 8731
29.7%
2 4230
14.4%
3 3047
 
10.4%
0 2314
 
7.9%
4 2309
 
7.9%
5 2211
 
7.5%
6 1959
 
6.7%
7 1742
 
5.9%
9 1434
 
4.9%
8 1405
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 6
46.2%
p 2
 
15.4%
b 1
 
7.7%
a 1
 
7.7%
t 1
 
7.7%
s 1
 
7.7%
l 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 4305
99.5%
. 11
 
0.3%
@ 6
 
0.1%
/ 2
 
< 0.1%
· 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 30
96.8%
+ 1
 
3.2%
Space Separator
ValueCountFrequency (%)
30549
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6249
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6249
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1483
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104811
57.2%
Common 78268
42.7%
Latin 240
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13127
 
12.5%
8381
 
8.0%
8312
 
7.9%
6563
 
6.3%
6452
 
6.2%
6395
 
6.1%
6174
 
5.9%
3511
 
3.3%
3054
 
2.9%
2524
 
2.4%
Other values (387) 40318
38.5%
Latin
ValueCountFrequency (%)
A 67
27.9%
B 54
22.5%
C 13
 
5.4%
S 11
 
4.6%
M 9
 
3.8%
E 9
 
3.8%
D 8
 
3.3%
T 8
 
3.3%
W 6
 
2.5%
K 6
 
2.5%
Other values (19) 49
20.4%
Common
ValueCountFrequency (%)
30549
39.0%
1 8731
 
11.2%
( 6249
 
8.0%
) 6249
 
8.0%
, 4305
 
5.5%
2 4230
 
5.4%
3 3047
 
3.9%
0 2314
 
3.0%
4 2309
 
3.0%
5 2211
 
2.8%
Other values (11) 8074
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104811
57.2%
ASCII 78507
42.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30549
38.9%
1 8731
 
11.1%
( 6249
 
8.0%
) 6249
 
8.0%
, 4305
 
5.5%
2 4230
 
5.4%
3 3047
 
3.9%
0 2314
 
2.9%
4 2309
 
2.9%
5 2211
 
2.8%
Other values (39) 8313
 
10.6%
Hangul
ValueCountFrequency (%)
13127
 
12.5%
8381
 
8.0%
8312
 
7.9%
6563
 
6.3%
6452
 
6.2%
6395
 
6.1%
6174
 
5.9%
3511
 
3.3%
3054
 
2.9%
2524
 
2.4%
Other values (387) 40318
38.5%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1192
Distinct (%)19.0%
Missing3717
Missing (%)37.2%
Infinite0
Infinite (%)0.0%
Mean42051.901
Minimum41000
Maximum43022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:56:22.917864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41088
Q141542
median42019
Q342633
95-th percentile42948
Maximum43022
Range2022
Interquartile range (IQR)1091

Descriptive statistics

Standard deviation595.35612
Coefficient of variation (CV)0.014157651
Kurtosis-1.2002717
Mean42051.901
Median Absolute Deviation (MAD)545
Skewness-0.072007056
Sum2.6421209 × 108
Variance354448.91
MonotonicityNot monotonic
2024-04-18T11:56:23.041769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41942 69
 
0.7%
41544 40
 
0.4%
42614 37
 
0.4%
41423 35
 
0.4%
41026 32
 
0.3%
41465 29
 
0.3%
42175 28
 
0.3%
42612 28
 
0.3%
42918 28
 
0.3%
41941 28
 
0.3%
Other values (1182) 5929
59.3%
(Missing) 3717
37.2%
ValueCountFrequency (%)
41000 13
0.1%
41001 17
0.2%
41002 8
0.1%
41003 4
 
< 0.1%
41005 9
0.1%
41007 10
0.1%
41008 4
 
< 0.1%
41009 5
 
0.1%
41010 1
 
< 0.1%
41017 2
 
< 0.1%
ValueCountFrequency (%)
43022 2
 
< 0.1%
43020 1
 
< 0.1%
43018 26
0.3%
43017 11
0.1%
43016 1
 
< 0.1%
43014 18
0.2%
43013 1
 
< 0.1%
43010 7
 
0.1%
43009 15
0.1%
43008 12
0.1%
Distinct8980
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T11:56:23.241932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length5.679
Min length1

Characters and Unicode

Total characters56790
Distinct characters1070
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8360 ?
Unique (%)83.6%

Sample

1st row불닭이익어가는곳
2nd row배꼽시계
3rd row구룡포회도매
4th row60계치킨연경점
5th row참건강한감자탕
ValueCountFrequency (%)
식당 25
 
0.2%
고향식당 15
 
0.1%
안동찜닭 10
 
0.1%
상인점 10
 
0.1%
칼국수 10
 
0.1%
제일식당 10
 
0.1%
청도추어탕 9
 
0.1%
안동식당 9
 
0.1%
서울식당 9
 
0.1%
행복식당 9
 
0.1%
Other values (9433) 10865
98.9%
2024-04-18T11:56:23.554402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2239
 
3.9%
2003
 
3.5%
1139
 
2.0%
1122
 
2.0%
983
 
1.7%
768
 
1.4%
756
 
1.3%
639
 
1.1%
617
 
1.1%
613
 
1.1%
Other values (1060) 45911
80.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52425
92.3%
Space Separator 983
 
1.7%
Lowercase Letter 792
 
1.4%
Uppercase Letter 717
 
1.3%
Decimal Number 601
 
1.1%
Open Punctuation 546
 
1.0%
Close Punctuation 546
 
1.0%
Other Punctuation 159
 
0.3%
Dash Punctuation 13
 
< 0.1%
Math Symbol 4
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2239
 
4.3%
2003
 
3.8%
1139
 
2.2%
1122
 
2.1%
768
 
1.5%
756
 
1.4%
639
 
1.2%
617
 
1.2%
613
 
1.2%
579
 
1.1%
Other values (977) 41950
80.0%
Lowercase Letter
ValueCountFrequency (%)
e 109
13.8%
a 89
11.2%
o 72
 
9.1%
n 59
 
7.4%
i 52
 
6.6%
r 43
 
5.4%
t 42
 
5.3%
s 36
 
4.5%
h 35
 
4.4%
f 33
 
4.2%
Other values (16) 222
28.0%
Uppercase Letter
ValueCountFrequency (%)
B 89
 
12.4%
O 57
 
7.9%
A 54
 
7.5%
E 48
 
6.7%
C 45
 
6.3%
H 37
 
5.2%
T 37
 
5.2%
S 34
 
4.7%
R 31
 
4.3%
I 30
 
4.2%
Other values (15) 255
35.6%
Other Punctuation
ValueCountFrequency (%)
& 65
40.9%
. 45
28.3%
, 24
 
15.1%
' 9
 
5.7%
! 4
 
2.5%
/ 4
 
2.5%
: 2
 
1.3%
# 2
 
1.3%
· 2
 
1.3%
? 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 104
17.3%
0 104
17.3%
2 91
15.1%
9 58
9.7%
3 51
8.5%
8 47
7.8%
5 46
7.7%
7 39
 
6.5%
6 32
 
5.3%
4 29
 
4.8%
Math Symbol
ValueCountFrequency (%)
+ 1
25.0%
< 1
25.0%
> 1
25.0%
= 1
25.0%
Other Symbol
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
983
100.0%
Open Punctuation
ValueCountFrequency (%)
( 546
100.0%
Close Punctuation
ValueCountFrequency (%)
) 546
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52403
92.3%
Common 2853
 
5.0%
Latin 1511
 
2.7%
Han 23
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2239
 
4.3%
2003
 
3.8%
1139
 
2.2%
1122
 
2.1%
768
 
1.5%
756
 
1.4%
639
 
1.2%
617
 
1.2%
613
 
1.2%
579
 
1.1%
Other values (959) 41928
80.0%
Latin
ValueCountFrequency (%)
e 109
 
7.2%
B 89
 
5.9%
a 89
 
5.9%
o 72
 
4.8%
n 59
 
3.9%
O 57
 
3.8%
A 54
 
3.6%
i 52
 
3.4%
E 48
 
3.2%
C 45
 
3.0%
Other values (42) 837
55.4%
Common
ValueCountFrequency (%)
983
34.5%
( 546
19.1%
) 546
19.1%
1 104
 
3.6%
0 104
 
3.6%
2 91
 
3.2%
& 65
 
2.3%
9 58
 
2.0%
3 51
 
1.8%
8 47
 
1.6%
Other values (20) 258
 
9.0%
Han
ValueCountFrequency (%)
5
21.7%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (9) 9
39.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52399
92.3%
ASCII 4358
 
7.7%
CJK 23
 
< 0.1%
None 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Number Forms 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2239
 
4.3%
2003
 
3.8%
1139
 
2.2%
1122
 
2.1%
768
 
1.5%
756
 
1.4%
639
 
1.2%
617
 
1.2%
613
 
1.2%
579
 
1.1%
Other values (957) 41924
80.0%
ASCII
ValueCountFrequency (%)
983
22.6%
( 546
 
12.5%
) 546
 
12.5%
e 109
 
2.5%
1 104
 
2.4%
0 104
 
2.4%
2 91
 
2.1%
B 89
 
2.0%
a 89
 
2.0%
o 72
 
1.7%
Other values (68) 1625
37.3%
CJK
ValueCountFrequency (%)
5
21.7%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (9) 9
39.1%
Compat Jamo
ValueCountFrequency (%)
3
100.0%
Number Forms
ValueCountFrequency (%)
2
100.0%
None
ValueCountFrequency (%)
· 2
50.0%
1
25.0%
ß 1
25.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

Distinct8107
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0128275 × 1013
Minimum2.001081 × 1013
Maximum2.0220228 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:56:23.674681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.001081 × 1013
5-th percentile2.0020416 × 1013
Q12.0050808 × 1013
median2.0141016 × 1013
Q32.0200331 × 1013
95-th percentile2.0211129 × 1013
Maximum2.0220228 × 1013
Range2.0941817 × 1011
Interquartile range (IQR)1.4952313 × 1011

Descriptive statistics

Standard deviation7.2183004 × 1010
Coefficient of variation (CV)0.0035861495
Kurtosis-1.4986449
Mean2.0128275 × 1013
Median Absolute Deviation (MAD)6.0312986 × 1010
Skewness-0.28398915
Sum2.0128275 × 1017
Variance5.2103861 × 1021
MonotonicityNot monotonic
2024-04-18T11:56:23.786492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20031215000000 25
 
0.2%
20020913000000 21
 
0.2%
20041004000000 20
 
0.2%
20020511000000 20
 
0.2%
20020904000000 18
 
0.2%
20020906000000 18
 
0.2%
20020909000000 17
 
0.2%
20020116000000 15
 
0.1%
20020417000000 15
 
0.1%
20020425000000 14
 
0.1%
Other values (8097) 9817
98.2%
ValueCountFrequency (%)
20010810000000 1
 
< 0.1%
20010811000000 2
 
< 0.1%
20010813000000 4
< 0.1%
20010817000000 3
 
< 0.1%
20010820000000 9
0.1%
20010821000000 5
0.1%
20010822000000 1
 
< 0.1%
20010823000000 4
< 0.1%
20010824000000 7
0.1%
20010827000000 9
0.1%
ValueCountFrequency (%)
20220228170327 1
< 0.1%
20220228162612 1
< 0.1%
20220228162147 1
< 0.1%
20220228161447 1
< 0.1%
20220228160751 1
< 0.1%
20220228141550 1
< 0.1%
20220228134728 1
< 0.1%
20220228122818 1
< 0.1%
20220228122713 1
< 0.1%
20220228111836 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
6471 
U
3529 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 6471
64.7%
U 3529
35.3%

Length

2024-04-18T11:56:23.891745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:23.966973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 6471
64.7%
u 3529
35.3%
Distinct950
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-03-02 02:40:00
2024-04-18T11:56:24.074136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T11:56:24.193537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4924 
기타
1010 
호프/통닭
675 
식육(숯불구이)
624 
경양식
524 
Other values (18)
2243 

Length

Max length15
Median length2
Mean length3.1212
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row호프/통닭
2nd row한식
3rd row일식
4th row호프/통닭
5th row한식

Common Values

ValueCountFrequency (%)
한식 4924
49.2%
기타 1010
 
10.1%
호프/통닭 675
 
6.8%
식육(숯불구이) 624
 
6.2%
경양식 524
 
5.2%
통닭(치킨) 461
 
4.6%
분식 424
 
4.2%
중국식 350
 
3.5%
일식 225
 
2.2%
정종/대포집/소주방 183
 
1.8%
Other values (13) 600
 
6.0%

Length

2024-04-18T11:56:24.307973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4924
49.2%
기타 1010
 
10.1%
호프/통닭 675
 
6.8%
식육(숯불구이 624
 
6.2%
경양식 524
 
5.2%
통닭(치킨 461
 
4.6%
분식 424
 
4.2%
중국식 350
 
3.5%
일식 225
 
2.2%
정종/대포집/소주방 183
 
1.8%
Other values (13) 600
 
6.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct8275
Distinct (%)85.9%
Missing368
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean342876.57
Minimum322694.26
Maximum358228.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:56:24.427639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum322694.26
5-th percentile333900.63
Q1339708.63
median342828.17
Q3346269.24
95-th percentile353400.99
Maximum358228.21
Range35533.948
Interquartile range (IQR)6560.6095

Descriptive statistics

Standard deviation5322.9437
Coefficient of variation (CV)0.015524373
Kurtosis0.35877971
Mean342876.57
Median Absolute Deviation (MAD)3245.1212
Skewness0.014097733
Sum3.3025871 × 109
Variance28333729
MonotonicityNot monotonic
2024-04-18T11:56:25.234458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
356353.91544 12
 
0.1%
347037.24197 11
 
0.1%
341301.554735 10
 
0.1%
340741.823616 10
 
0.1%
344047.164924 9
 
0.1%
342582.197988 9
 
0.1%
344223.636477 9
 
0.1%
341033.179411 8
 
0.1%
352915.09801 8
 
0.1%
345032.238221 7
 
0.1%
Other values (8265) 9539
95.4%
(Missing) 368
 
3.7%
ValueCountFrequency (%)
322694.257713 1
< 0.1%
326018.854532 1
< 0.1%
326155.692636 1
< 0.1%
326159.614175 1
< 0.1%
326438.392249 1
< 0.1%
326480.028928 1
< 0.1%
326635.578062 1
< 0.1%
326942.021443 1
< 0.1%
326973.064918 1
< 0.1%
327001.977227 1
< 0.1%
ValueCountFrequency (%)
358228.205269 1
< 0.1%
358122.176371 2
< 0.1%
358060.647419 1
< 0.1%
357967.355449 1
< 0.1%
357908.12325 1
< 0.1%
357867.135305 1
< 0.1%
357805.494255 1
< 0.1%
357672.59192 1
< 0.1%
357646.727978 1
< 0.1%
357236.979205 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct8274
Distinct (%)85.9%
Missing368
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean263252.86
Minimum237836.28
Maximum278468.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:56:25.361153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237836.28
5-th percentile257195.83
Q1261266.65
median263429.14
Q3265528.28
95-th percentile271221.56
Maximum278468.04
Range40631.762
Interquartile range (IQR)4261.6299

Descriptive statistics

Standard deviation4741.4944
Coefficient of variation (CV)0.018011179
Kurtosis4.9676881
Mean263252.86
Median Absolute Deviation (MAD)2132.645
Skewness-1.1470672
Sum2.5356516 × 109
Variance22481769
MonotonicityNot monotonic
2024-04-18T11:56:25.479468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265528.276593 12
 
0.1%
265407.404337 11
 
0.1%
262316.993409 10
 
0.1%
262585.135012 10
 
0.1%
264597.611089 9
 
0.1%
264326.558135 9
 
0.1%
265132.987974 9
 
0.1%
263911.217548 8
 
0.1%
262385.585116 8
 
0.1%
262949.871621 7
 
0.1%
Other values (8264) 9539
95.4%
(Missing) 368
 
3.7%
ValueCountFrequency (%)
237836.281929 1
< 0.1%
237969.888266 1
< 0.1%
238499.103171 1
< 0.1%
240172.357061 1
< 0.1%
240182.45542 2
< 0.1%
240194.872801 2
< 0.1%
240212.75412 1
< 0.1%
240217.502955 1
< 0.1%
240219.11183 1
< 0.1%
240225.954338 1
< 0.1%
ValueCountFrequency (%)
278468.043867 1
< 0.1%
278226.867388 1
< 0.1%
278080.761551 1
< 0.1%
278068.782101 1
< 0.1%
278029.090204 1
< 0.1%
278001.606308 1
< 0.1%
277960.093333 1
< 0.1%
277954.022648 1
< 0.1%
277949.202873 1
< 0.1%
277936.718703 1
< 0.1%

위생업태명
Categorical

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4924 
기타
1010 
호프/통닭
675 
식육(숯불구이)
624 
경양식
524 
Other values (18)
2243 

Length

Max length15
Median length2
Mean length3.1212
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row호프/통닭
2nd row한식
3rd row일식
4th row호프/통닭
5th row한식

Common Values

ValueCountFrequency (%)
한식 4924
49.2%
기타 1010
 
10.1%
호프/통닭 675
 
6.8%
식육(숯불구이) 624
 
6.2%
경양식 524
 
5.2%
통닭(치킨) 461
 
4.6%
분식 424
 
4.2%
중국식 350
 
3.5%
일식 225
 
2.2%
정종/대포집/소주방 183
 
1.8%
Other values (13) 600
 
6.0%

Length

2024-04-18T11:56:25.602998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4924
49.2%
기타 1010
 
10.1%
호프/통닭 675
 
6.8%
식육(숯불구이 624
 
6.2%
경양식 524
 
5.2%
통닭(치킨 461
 
4.6%
분식 424
 
4.2%
중국식 350
 
3.5%
일식 225
 
2.2%
정종/대포집/소주방 183
 
1.8%
Other values (13) 600
 
6.0%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)0.2%
Missing3510
Missing (%)35.1%
Infinite0
Infinite (%)0.0%
Mean0.26856703
Minimum0
Maximum25
Zeros5304
Zeros (%)53.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:56:25.699570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.81260751
Coefficient of variation (CV)3.0257159
Kurtosis283.45388
Mean0.26856703
Median Absolute Deviation (MAD)0
Skewness11.542249
Sum1743
Variance0.66033097
MonotonicityNot monotonic
2024-04-18T11:56:25.795338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 5304
53.0%
1 862
 
8.6%
2 219
 
2.2%
3 67
 
0.7%
4 20
 
0.2%
6 7
 
0.1%
5 3
 
< 0.1%
10 2
 
< 0.1%
25 2
 
< 0.1%
11 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
(Missing) 3510
35.1%
ValueCountFrequency (%)
0 5304
53.0%
1 862
 
8.6%
2 219
 
2.2%
3 67
 
0.7%
4 20
 
0.2%
5 3
 
< 0.1%
6 7
 
0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
25 2
 
< 0.1%
11 1
 
< 0.1%
10 2
 
< 0.1%
9 1
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
6 7
 
0.1%
5 3
 
< 0.1%
4 20
 
0.2%
3 67
0.7%

여성종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct17
Distinct (%)0.3%
Missing3344
Missing (%)33.4%
Infinite0
Infinite (%)0.0%
Mean0.44080529
Minimum0
Maximum78
Zeros5021
Zeros (%)50.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:56:25.889620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum78
Range78
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4184931
Coefficient of variation (CV)3.2179585
Kurtosis1375.7168
Mean0.44080529
Median Absolute Deviation (MAD)0
Skewness27.444797
Sum2934
Variance2.0121228
MonotonicityNot monotonic
2024-04-18T11:56:25.992542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 5021
50.2%
1 930
 
9.3%
2 463
 
4.6%
3 139
 
1.4%
4 53
 
0.5%
6 16
 
0.2%
5 14
 
0.1%
7 8
 
0.1%
8 2
 
< 0.1%
10 2
 
< 0.1%
Other values (7) 8
 
0.1%
(Missing) 3344
33.4%
ValueCountFrequency (%)
0 5021
50.2%
1 930
 
9.3%
2 463
 
4.6%
3 139
 
1.4%
4 53
 
0.5%
5 14
 
0.1%
6 16
 
0.2%
7 8
 
0.1%
8 2
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
78 1
 
< 0.1%
27 1
 
< 0.1%
20 1
 
< 0.1%
19 1
 
< 0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%
10 2
 
< 0.1%
9 2
 
< 0.1%
8 2
 
< 0.1%
7 8
0.1%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4215 
기타
3095 
주택가주변
1936 
아파트지역
452 
유흥업소밀집지역
 
196
Other values (3)
 
106

Length

Max length8
Median length7
Mean length3.7398
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4215
42.1%
기타 3095
30.9%
주택가주변 1936
19.4%
아파트지역 452
 
4.5%
유흥업소밀집지역 196
 
2.0%
학교정화(상대) 76
 
0.8%
학교정화(절대) 22
 
0.2%
결혼예식장주변 8
 
0.1%

Length

2024-04-18T11:56:26.103832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:26.203091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4215
42.1%
기타 3095
30.9%
주택가주변 1936
19.4%
아파트지역 452
 
4.5%
유흥업소밀집지역 196
 
2.0%
학교정화(상대 76
 
0.8%
학교정화(절대 22
 
0.2%
결혼예식장주변 8
 
0.1%

등급구분명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6157 
자율
2872 
기타
946 
우수
 
19
지도
 
3

Length

Max length4
Median length4
Mean length3.2311
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6157
61.6%
자율 2872
28.7%
기타 946
 
9.5%
우수 19
 
0.2%
지도 3
 
< 0.1%
3
 
< 0.1%

Length

2024-04-18T11:56:26.311997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:26.405754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6157
61.6%
자율 2872
28.7%
기타 946
 
9.5%
우수 19
 
0.2%
지도 3
 
< 0.1%
3
 
< 0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상수도전용
7630 
<NA>
2308 
지하수전용
 
43
간이상수도
 
13
상수도(음용)지하수(주방용)겸용
 
3

Length

Max length19
Median length5
Mean length4.777
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 7630
76.3%
<NA> 2308
 
23.1%
지하수전용 43
 
0.4%
간이상수도 13
 
0.1%
상수도(음용)지하수(주방용)겸용 3
 
< 0.1%
전용상수도(특정시설의 자가용 수도) 3
 
< 0.1%

Length

2024-04-18T11:56:26.507536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:26.602338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 7630
76.3%
na 2308
 
23.1%
지하수전용 43
 
0.4%
간이상수도 13
 
0.1%
상수도(음용)지하수(주방용)겸용 3
 
< 0.1%
전용상수도(특정시설의 3
 
< 0.1%
자가용 3
 
< 0.1%
수도 3
 
< 0.1%

총종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9209 
0
 
791

Length

Max length4
Median length4
Mean length3.7627
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> 9209
92.1%
0 791
 
7.9%

Length

2024-04-18T11:56:26.710612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:26.793523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9209
92.1%
0 791
 
7.9%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9206 
0
 
794

Length

Max length4
Median length4
Mean length3.7618
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> 9206
92.1%
0 794
 
7.9%

Length

2024-04-18T11:56:26.882271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:26.961254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9206
92.1%
0 794
 
7.9%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9206 
0
 
794

Length

Max length4
Median length4
Mean length3.7618
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> 9206
92.1%
0 794
 
7.9%

Length

2024-04-18T11:56:27.047857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:27.133475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9206
92.1%
0 794
 
7.9%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9206 
0
 
794

Length

Max length4
Median length4
Mean length3.7618
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> 9206
92.1%
0 794
 
7.9%

Length

2024-04-18T11:56:27.216751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:27.311969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9206
92.1%
0 794
 
7.9%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9206 
0
 
794

Length

Max length4
Median length4
Mean length3.7618
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> 9206
92.1%
0 794
 
7.9%

Length

2024-04-18T11:56:27.399057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:27.484777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9206
92.1%
0 794
 
7.9%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9206 
0
 
794

Length

Max length4
Median length4
Mean length3.7618
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> 9206
92.1%
0 794
 
7.9%

Length

2024-04-18T11:56:27.573366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:27.652358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9206
92.1%
0 794
 
7.9%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9206 
0
 
794

Length

Max length4
Median length4
Mean length3.7618
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> 9206
92.1%
0 794
 
7.9%

Length

2024-04-18T11:56:27.756879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:56:27.841936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9206
92.1%
0 794
 
7.9%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9641 
True
 
359
ValueCountFrequency (%)
False 9641
96.4%
True 359
 
3.6%
2024-04-18T11:56:27.904963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

SKEWED  ZEROS 

Distinct5542
Distinct (%)55.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.753048
Minimum0
Maximum8363.46
Zeros163
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T11:56:27.999579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.6
Q129.09
median47.525
Q384.935
95-th percentile214.7645
Maximum8363.46
Range8363.46
Interquartile range (IQR)55.845

Descriptive statistics

Standard deviation125.66054
Coefficient of variation (CV)1.6810089
Kurtosis1925.8185
Mean74.753048
Median Absolute Deviation (MAD)22.48
Skewness31.747501
Sum747530.48
Variance15790.572
MonotonicityNot monotonic
2024-04-18T11:56:28.132210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 163
 
1.6%
26.4 41
 
0.4%
30.0 36
 
0.4%
40.0 35
 
0.4%
33.0 30
 
0.3%
24.0 29
 
0.3%
36.0 28
 
0.3%
32.0 24
 
0.2%
45.0 23
 
0.2%
20.0 23
 
0.2%
Other values (5532) 9568
95.7%
ValueCountFrequency (%)
0.0 163
1.6%
1.0 3
 
< 0.1%
2.55 1
 
< 0.1%
3.3 3
 
< 0.1%
4.0 2
 
< 0.1%
4.84 1
 
< 0.1%
5.19 1
 
< 0.1%
6.0 1
 
< 0.1%
6.45 1
 
< 0.1%
6.48 1
 
< 0.1%
ValueCountFrequency (%)
8363.46 1
< 0.1%
2682.58 1
< 0.1%
1799.0 1
< 0.1%
1339.48 1
< 0.1%
1267.22 1
< 0.1%
1246.8 1
< 0.1%
1235.9 1
< 0.1%
1222.84 1
< 0.1%
1215.0 1
< 0.1%
1202.1 2
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
4468144682일반음식점07_24_04_P34500003450000-101-2005-0000120050104<NA>3폐업2폐업20051206<NA><NA><NA>053 311882056.10702886대구광역시 북구 동천동 917-7번지<NA><NA>불닭이익어가는곳20050104000000I2018-08-31 23:59:59.0호프/통닭340677.456263272138.12085호프/통닭12주택가주변<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N56.1<NA><NA><NA>
2912529126일반음식점07_24_04_P34400003440000-101-2002-0028020021024<NA>3폐업2폐업20040216<NA><NA><NA>053 474474124.96705829대구광역시 남구 봉덕동 550-8번지<NA><NA>배꼽시계20030319000000I2018-08-31 23:59:59.0한식343952.791693261703.421719한식00기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N24.96<NA><NA><NA>
2155321554일반음식점07_24_04_P34300003430000-101-1999-0005520000328<NA>3폐업2폐업20050804<NA><NA><NA>053 3538644136.50703826대구광역시 서구 원대동2가 88번지 금류상가 108동 109호<NA><NA>구룡포회도매20050302000000I2018-08-31 23:59:59.0일식342664.206735265929.990835일식00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N136.5<NA><NA><NA>
3602136022일반음식점07_24_04_P34500003450000-101-2020-0020920200630<NA>1영업/정상1영업<NA><NA><NA><NA><NA>86.92702130대구광역시 북구 연경동 956-1대구광역시 북구 연경중앙로 3, 109,110호 (연경동)4140960계치킨연경점20200723095222U2020-07-26 02:40:00.0호프/통닭<NA><NA>호프/통닭<NA><NA>아파트지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N86.92<NA><NA><NA>
4010140102일반음식점07_24_04_P34500003450000-101-2008-0022320080625<NA>3폐업2폐업20171207<NA><NA><NA>053 326 897960.42702866대구광역시 북구 태전동 1074-25번지대구광역시 북구 태암남로 12 (태전동)41462참건강한감자탕20171207145731I2018-08-31 23:59:59.0한식339700.285077270554.290764한식<NA>2주택가주변<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N60.42<NA><NA><NA>
5967559676일반음식점07_24_04_P34600003460000-101-2017-0004820170222<NA>1영업/정상1영업<NA><NA><NA><NA>053 768118532.24706801대구광역시 수성구 두산동 144-4 1층대구광역시 수성구 무학로21안길 96, 1층 (두산동)42173다수니와플두산점20210617102833U2021-06-19 02:40:00.0까페346333.662384260570.789862까페<NA>1주택가주변<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N32.24<NA><NA><NA>
7163771638일반음식점07_24_04_P34700003470000-101-2018-0035320180726<NA>1영업/정상1영업<NA><NA><NA><NA><NA>26.95704060대구광역시 달서구 두류동 778-47번지대구광역시 달서구 성당로47길 6, 1층 (두류동)42668배선생20200507124133U2020-05-09 02:40:00.0한식342057.755565262660.562592한식<NA><NA>주택가주변<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N26.95<NA><NA><NA>
3036830369일반음식점07_24_04_P34400003440000-101-1999-0013819990116<NA>3폐업2폐업20020508<NA><NA><NA>053 655088330.21705813대구광역시 남구 대명동 1159-3번지<NA><NA>선우식당20030213000000I2018-08-31 23:59:59.0한식<NA><NA>한식00기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N30.21<NA><NA><NA>
1592315924일반음식점07_24_04_P34200003420000-101-1992-0010919920218<NA>1영업/정상1영업<NA><NA><NA><NA>053 982 4533273.31701500대구광역시 동구 중대동 38-19번지대구광역시 동구 파계로138길 19 (중대동)41001경남식당20181031105851U2018-11-02 02:37:11.0한식347680.086226277960.093333한식00기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N273.31<NA><NA><NA>
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번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
6127361274일반음식점07_24_04_P34700003470000-101-2004-0028820040510<NA>3폐업2폐업20040914<NA><NA><NA>053 633975169.82704834대구광역시 달서구 진천동 509-1번지 (지상1층)<NA><NA>날마다좋은생고기집20040510000000I2018-08-31 23:59:59.0한식<NA><NA>한식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N69.82<NA><NA><NA>
13341335일반음식점07_24_04_P34100003410000-101-1989-0004319891128<NA>3폐업2폐업20020901<NA><NA><NA>053 4222425115.63700411대구광역시 중구 삼덕동1가 0044-1번지 ,0044-10,2(지하1층)<NA><NA>도시감각식당20020712000000I2018-08-31 23:59:59.0경양식<NA><NA>경양식00기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N115.63<NA><NA><NA>
6463564636일반음식점07_24_04_P34700003470000-101-1997-0008620030423<NA>3폐업2폐업20071022<NA><NA><NA>053 566992825.90704932대구광역시 달서구 죽전동 257-1번지<NA><NA>바니치킨20040720000000I2018-08-31 23:59:59.0통닭(치킨)338755.615991262511.318734통닭(치킨)00<NA>자율<NA><NA><NA><NA><NA><NA><NA><NA><NA>N25.9<NA><NA><NA>
4742647427일반음식점07_24_04_P34600003460000-101-2018-0027620180903<NA>3폐업2폐업20181121<NA><NA><NA><NA>131.25706806대구광역시 수성구 만촌동 1005-7번지 지하1층대구광역시 수성구 충의로 19, 지하1층 (만촌동)42053어퍼짓20181121110301U2018-11-23 02:36:56.0기타348666.821547263843.149089기타<NA>1기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N131.25<NA><NA><NA>
5866058661일반음식점07_24_04_P34600003460000-101-2000-0237720000222<NA>1영업/정상1영업<NA><NA><NA><NA>053 764 264661.77706801대구광역시 수성구 두산동 180-10대구광역시 수성구 무학로23길 17 (두산동)42175갈꾸리화덕막창20210607150415U2021-06-09 02:40:00.0호프/통닭346472.269196260207.200205호프/통닭00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N61.77<NA><NA><NA>
1392413925일반음식점07_24_04_P34200003420000-101-2006-0019220060919<NA>3폐업2폐업20101227<NA><NA><NA><NA>29.16701840대구광역시 동구 효목동 140-5번지<NA><NA>장금이20091209112450I2018-08-31 23:59:59.0기타348309.131856265881.066918기타00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N29.16<NA><NA><NA>
37933794일반음식점07_24_04_P34100003410000-101-2005-0009820050725<NA>3폐업2폐업20070829<NA><NA><NA><NA>72.75700070대구광역시 중구 덕산동 0088번지<NA><NA>뎃짱오뎅20060907000000I2018-08-31 23:59:59.0분식343820.40768264018.87607분식12기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N72.75<NA><NA><NA>
7720077201일반음식점07_24_04_P34700003470000-101-2019-0005420190220<NA>1영업/정상1영업<NA><NA><NA><NA><NA>107.59704830대구광역시 달서구 월성동 1544번지대구광역시 달서구 조암남로16길 6, 1층 (월성동)42756리드미온20190306092650U2019-03-08 02:40:00.0한식337738.75955258974.326926한식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N107.59<NA><NA><NA>
5193851939일반음식점07_24_04_P34600003460000-101-2003-0033320030807<NA>3폐업2폐업20041116<NA><NA><NA>765488224.00706849대구광역시 수성구 파동 496-27번지<NA><NA>페리카나20030807000000I2018-08-31 23:59:59.0통닭(치킨)346358.837309257814.034779통닭(치킨)00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N24.0<NA><NA><NA>
6078260783일반음식점07_24_04_P34700003470000-101-2001-0141020011012<NA>3폐업2폐업20040806<NA><NA><NA>053065100331,202.10704909대구광역시 달서구 두류동 100-1번지<NA><NA>동해20020417000000I2018-08-31 23:59:59.0일식341202.806612263275.706839일식00<NA>자율<NA><NA><NA><NA><NA><NA><NA><NA><NA>N1202.1<NA><NA><NA>