Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells144279
Missing cells (%)30.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 MiB
Average record size in memory414.0 B

Variable types

Numeric13
Categorical17
Text6
Unsupported9
DateTime1
Boolean1

Dataset

Description6270000_대구광역시_07_22_10_P_식품자동판매기업_10월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000086418&dataSetDetailId=DDI_0000086472&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
업태구분명 has constant value ""Constant
영업장주변구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
데이터갱신구분 is highly imbalanced (58.7%)Imbalance
위생업태명 is highly imbalanced (99.7%)Imbalance
남성종사자수 is highly imbalanced (96.5%)Imbalance
여성종사자수 is highly imbalanced (97.7%)Imbalance
급수시설구분명 is highly imbalanced (72.5%)Imbalance
본사종업원수 is highly imbalanced (52.4%)Imbalance
공장생산직종업원수 is highly imbalanced (53.3%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 1459 (14.6%) 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 2275 (22.8%) missing valuesMissing
소재지면적 has 8097 (81.0%) missing valuesMissing
도로명전체주소 has 6578 (65.8%) missing valuesMissing
도로명우편번호 has 6651 (66.5%) missing valuesMissing
좌표정보(X) has 641 (6.4%) missing valuesMissing
좌표정보(Y) has 641 (6.4%) missing valuesMissing
영업장주변구분명 has 9999 (> 99.9%) missing valuesMissing
등급구분명 has 10000 (100.0%) missing valuesMissing
총종업원수 has 10000 (100.0%) missing valuesMissing
보증액 has 8935 (89.3%) missing valuesMissing
월세액 has 8936 (89.4%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 10000 (100.0%) missing valuesMissing
인허가일자 is highly skewed (γ1 = -88.54695)Skewed
소재지면적 is highly skewed (γ1 = 20.01121424)Skewed
월세액 is highly skewed (γ1 = 30.90157161)Skewed
시설총규모 is highly skewed (γ1 = 96.6961624)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
등급구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총종업원수 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
소재지면적 has 220 (2.2%) zerosZeros
보증액 has 1056 (10.6%) zerosZeros
월세액 has 1056 (10.6%) zerosZeros
시설총규모 has 9883 (98.8%) zerosZeros

Reproduction

Analysis started2024-04-21 20:02:10.453601
Analysis finished2024-04-21 20:02:13.580243
Duration3.13 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%
Mean5839.5284
Minimum1
Maximum11665
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T05:02:13.707123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile588.95
Q12923.75
median5841.5
Q38754.25
95-th percentile11096.05
Maximum11665
Range11664
Interquartile range (IQR)5830.5

Descriptive statistics

Standard deviation3370.8241
Coefficient of variation (CV)0.57724252
Kurtosis-1.1994738
Mean5839.5284
Median Absolute Deviation (MAD)2915
Skewness0.0018499579
Sum58395284
Variance11362455
MonotonicityNot monotonic
2024-04-22T05:02:13.959292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8472 1
 
< 0.1%
6780 1
 
< 0.1%
5467 1
 
< 0.1%
3509 1
 
< 0.1%
9552 1
 
< 0.1%
10358 1
 
< 0.1%
2992 1
 
< 0.1%
7394 1
 
< 0.1%
6558 1
 
< 0.1%
3306 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 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%
12 1
< 0.1%
ValueCountFrequency (%)
11665 1
< 0.1%
11664 1
< 0.1%
11663 1
< 0.1%
11662 1
< 0.1%
11661 1
< 0.1%
11660 1
< 0.1%
11659 1
< 0.1%
11658 1
< 0.1%
11657 1
< 0.1%
11656 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

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

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기업 10000
100.0%

Length

2024-04-22T05:02:14.191997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:02:14.346022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기업 10000
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
07_22_10_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_10_P
2nd row07_22_10_P
3rd row07_22_10_P
4th row07_22_10_P
5th row07_22_10_P

Common Values

ValueCountFrequency (%)
07_22_10_P 10000
100.0%

Length

2024-04-22T05:02:14.508211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:02:14.665931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_10_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446222
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T05:02:14.807122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33470000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation21128.922
Coefficient of variation (CV)0.0061310392
Kurtosis-1.1683669
Mean3446222
Median Absolute Deviation (MAD)20000
Skewness-0.23940405
Sum3.446222 × 1010
Variance4.4643136 × 108
MonotonicityNot monotonic
2024-04-22T05:02:15.002579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2055
20.5%
3450000 1707
17.1%
3460000 1450
14.5%
3420000 1283
12.8%
3430000 1106
11.1%
3440000 970
9.7%
3410000 942
9.4%
3480000 487
 
4.9%
ValueCountFrequency (%)
3410000 942
9.4%
3420000 1283
12.8%
3430000 1106
11.1%
3440000 970
9.7%
3450000 1707
17.1%
3460000 1450
14.5%
3470000 2055
20.5%
3480000 487
 
4.9%
ValueCountFrequency (%)
3480000 487
 
4.9%
3470000 2055
20.5%
3460000 1450
14.5%
3450000 1707
17.1%
3440000 970
9.7%
3430000 1106
11.1%
3420000 1283
12.8%
3410000 942
9.4%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-22T05:02:15.645883image/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 row3460000-112-2001-00134
2nd row3470000-112-2002-00160
3rd row3450000-112-2004-00195
4th row3430000-112-1990-00006
5th row3450000-112-2001-00125
ValueCountFrequency (%)
3460000-112-2001-00134 1
 
< 0.1%
3460000-112-2010-00003 1
 
< 0.1%
3450000-112-2017-00023 1
 
< 0.1%
3460000-112-2001-00376 1
 
< 0.1%
3450000-112-2004-00270 1
 
< 0.1%
3430000-112-1998-00032 1
 
< 0.1%
3470000-112-2001-00415 1
 
< 0.1%
3470000-112-2003-00013 1
 
< 0.1%
3430000-112-2004-00043 1
 
< 0.1%
3450000-112-2001-00053 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-22T05:02:16.488918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 86343
39.2%
1 30561
 
13.9%
- 30000
 
13.6%
2 23924
 
10.9%
3 14456
 
6.6%
4 14094
 
6.4%
9 4853
 
2.2%
5 4810
 
2.2%
7 4366
 
2.0%
6 3923
 
1.8%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 86343
45.4%
1 30561
 
16.1%
2 23924
 
12.6%
3 14456
 
7.6%
4 14094
 
7.4%
9 4853
 
2.6%
5 4810
 
2.5%
7 4366
 
2.3%
6 3923
 
2.1%
8 2670
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 86343
39.2%
1 30561
 
13.9%
- 30000
 
13.6%
2 23924
 
10.9%
3 14456
 
6.6%
4 14094
 
6.4%
9 4853
 
2.2%
5 4810
 
2.2%
7 4366
 
2.0%
6 3923
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 86343
39.2%
1 30561
 
13.9%
- 30000
 
13.6%
2 23924
 
10.9%
3 14456
 
6.6%
4 14094
 
6.4%
9 4853
 
2.2%
5 4810
 
2.2%
7 4366
 
2.0%
6 3923
 
1.8%

인허가일자
Real number (ℝ)

SKEWED 

Distinct3400
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20036933
Minimum199908
Maximum20201028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T05:02:16.740403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199908
5-th percentile19960306
Q120010421
median20020708
Q320051123
95-th percentile20170907
Maximum20201028
Range20001120
Interquartile range (IQR)40702

Descriptive statistics

Standard deviation206581.4
Coefficient of variation (CV)0.010310031
Kurtosis8505.3748
Mean20036933
Median Absolute Deviation (MAD)19999.5
Skewness-88.54695
Sum2.0036933 × 1011
Variance4.2675875 × 1010
MonotonicityNot monotonic
2024-04-22T05:02:17.011750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20010214 132
 
1.3%
20010302 51
 
0.5%
20000904 51
 
0.5%
20010615 42
 
0.4%
20010303 42
 
0.4%
20010710 41
 
0.4%
20010709 41
 
0.4%
20010213 37
 
0.4%
20010706 37
 
0.4%
20010705 37
 
0.4%
Other values (3390) 9489
94.9%
ValueCountFrequency (%)
199908 1
< 0.1%
19841124 1
< 0.1%
19841219 1
< 0.1%
19850116 1
< 0.1%
19850128 1
< 0.1%
19850328 1
< 0.1%
19850810 1
< 0.1%
19860123 1
< 0.1%
19880718 1
< 0.1%
19881201 1
< 0.1%
ValueCountFrequency (%)
20201028 1
 
< 0.1%
20201026 1
 
< 0.1%
20201023 1
 
< 0.1%
20201020 1
 
< 0.1%
20201007 1
 
< 0.1%
20201006 4
< 0.1%
20200929 1
 
< 0.1%
20200928 1
 
< 0.1%
20200924 1
 
< 0.1%
20200922 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영업상태구분코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
8541 
1
1459 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 8541
85.4%
1 1459
 
14.6%

Length

2024-04-22T05:02:17.256081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:02:17.420033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 8541
85.4%
1 1459
 
14.6%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8541 
영업/정상
1459 

Length

Max length5
Median length2
Mean length2.4377
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 8541
85.4%
영업/정상 1459
 
14.6%

Length

2024-04-22T05:02:17.600926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:02:17.774214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8541
85.4%
영업/정상 1459
 
14.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8541 
1
1459 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 8541
85.4%
1 1459
 
14.6%

Length

2024-04-22T05:02:17.945810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:02:18.106520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8541
85.4%
1 1459
 
14.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8541 
영업
1459 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 8541
85.4%
영업 1459
 
14.6%

Length

2024-04-22T05:02:18.280979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:02:18.441872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8541
85.4%
영업 1459
 
14.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct3245
Distinct (%)38.0%
Missing1459
Missing (%)14.6%
Infinite0
Infinite (%)0.0%
Mean20085437
Minimum19970109
Maximum20201029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T05:02:18.640855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970109
5-th percentile20030228
Q120050314
median20071024
Q320111206
95-th percentile20181029
Maximum20201029
Range230920
Interquartile range (IQR)60892

Descriptive statistics

Standard deviation47047.441
Coefficient of variation (CV)0.0023423659
Kurtosis-0.3482775
Mean20085437
Median Absolute Deviation (MAD)30011
Skewness0.75215134
Sum1.7154972 × 1011
Variance2.2134617 × 109
MonotonicityNot monotonic
2024-04-22T05:02:18.893422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040413 66
 
0.7%
20091209 47
 
0.5%
20090406 46
 
0.5%
20051229 36
 
0.4%
20091216 32
 
0.3%
20040723 30
 
0.3%
20050310 27
 
0.3%
20050407 27
 
0.3%
20050408 26
 
0.3%
20191227 23
 
0.2%
Other values (3235) 8181
81.8%
(Missing) 1459
 
14.6%
ValueCountFrequency (%)
19970109 1
< 0.1%
19970709 1
< 0.1%
19980411 1
< 0.1%
19981021 1
< 0.1%
19990303 1
< 0.1%
19990629 1
< 0.1%
19990712 1
< 0.1%
19991029 1
< 0.1%
19991102 1
< 0.1%
20000104 1
< 0.1%
ValueCountFrequency (%)
20201029 1
< 0.1%
20201028 1
< 0.1%
20201026 1
< 0.1%
20201023 1
< 0.1%
20201022 2
< 0.1%
20201021 2
< 0.1%
20201020 1
< 0.1%
20201014 1
< 0.1%
20201008 1
< 0.1%
20201005 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 

Distinct7046
Distinct (%)91.2%
Missing2275
Missing (%)22.8%
Memory size156.2 KiB
2024-04-22T05:02:20.067898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.309385
Min length1

Characters and Unicode

Total characters79640
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

Unique6752 ?
Unique (%)87.4%

Sample

1st row6326822
2nd row053 6261919
3rd row053 5525478
4th row053 3583451
5th row053 6329897
ValueCountFrequency (%)
053 5782
39.4%
3829661 83
 
0.6%
943 44
 
0.3%
9661 37
 
0.3%
9439661 33
 
0.2%
941 29
 
0.2%
7439661 28
 
0.2%
0019 21
 
0.1%
6233547 18
 
0.1%
324 16
 
0.1%
Other values (7173) 8576
58.5%
2024-04-22T05:02:21.477927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 13617
17.1%
3 11708
14.7%
0 10374
13.0%
6963
8.7%
6 6671
8.4%
2 6161
7.7%
7 5198
 
6.5%
4 5073
 
6.4%
1 5070
 
6.4%
9 4548
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72677
91.3%
Space Separator 6963
 
8.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 13617
18.7%
3 11708
16.1%
0 10374
14.3%
6 6671
9.2%
2 6161
8.5%
7 5198
 
7.2%
4 5073
 
7.0%
1 5070
 
7.0%
9 4548
 
6.3%
8 4257
 
5.9%
Space Separator
ValueCountFrequency (%)
6963
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 79640
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 13617
17.1%
3 11708
14.7%
0 10374
13.0%
6963
8.7%
6 6671
8.4%
2 6161
7.7%
7 5198
 
6.5%
4 5073
 
6.4%
1 5070
 
6.4%
9 4548
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 79640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 13617
17.1%
3 11708
14.7%
0 10374
13.0%
6963
8.7%
6 6671
8.4%
2 6161
7.7%
7 5198
 
6.5%
4 5073
 
6.4%
1 5070
 
6.4%
9 4548
 
5.7%

소재지면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct43
Distinct (%)2.3%
Missing8097
Missing (%)81.0%
Infinite0
Infinite (%)0.0%
Mean2.4058644
Minimum0
Maximum496
Zeros220
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T05:02:21.889379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile3.3
Maximum496
Range496
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.343728
Coefficient of variation (CV)7.2089384
Kurtosis466.5828
Mean2.4058644
Median Absolute Deviation (MAD)0
Skewness20.011214
Sum4578.36
Variance300.80492
MonotonicityNot monotonic
2024-04-22T05:02:22.329391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1.0 1300
 
13.0%
0.0 220
 
2.2%
3.3 128
 
1.3%
2.0 69
 
0.7%
1.5 47
 
0.5%
3.0 43
 
0.4%
1.44 15
 
0.1%
4.0 11
 
0.1%
6.6 9
 
0.1%
1.2 6
 
0.1%
Other values (33) 55
 
0.5%
(Missing) 8097
81.0%
ValueCountFrequency (%)
0.0 220
 
2.2%
0.25 1
 
< 0.1%
0.3 1
 
< 0.1%
0.4 1
 
< 0.1%
0.5 4
 
< 0.1%
1.0 1300
13.0%
1.1 3
 
< 0.1%
1.2 6
 
0.1%
1.3 3
 
< 0.1%
1.4 1
 
< 0.1%
ValueCountFrequency (%)
496.0 1
< 0.1%
320.1 1
< 0.1%
303.0 1
< 0.1%
177.59 1
< 0.1%
165.3 1
< 0.1%
163.66 1
< 0.1%
117.39 1
< 0.1%
116.44 1
< 0.1%
100.0 2
< 0.1%
46.88 1
< 0.1%

소재지우편번호
Real number (ℝ)

Distinct680
Distinct (%)6.8%
Missing55
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean704212.97
Minimum700010
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T05:02:22.923435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700701
Q1702701
median703849
Q3705811
95-th percentile706852
Maximum711893
Range11883
Interquartile range (IQR)3110

Descriptive statistics

Standard deviation2509.1262
Coefficient of variation (CV)0.0035630219
Kurtosis1.5628978
Mean704212.97
Median Absolute Deviation (MAD)1953
Skewness0.94464747
Sum7.003398 × 109
Variance6295714.4
MonotonicityNot monotonic
2024-04-22T05:02:23.179066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704080 169
 
1.7%
706170 93
 
0.9%
704060 88
 
0.9%
705802 79
 
0.8%
704919 74
 
0.7%
702845 74
 
0.7%
700412 72
 
0.7%
702040 67
 
0.7%
704834 64
 
0.6%
704807 57
 
0.6%
Other values (670) 9108
91.1%
ValueCountFrequency (%)
700010 25
0.2%
700020 8
 
0.1%
700030 3
 
< 0.1%
700040 3
 
< 0.1%
700050 5
 
0.1%
700060 29
0.3%
700070 50
0.5%
700082 8
 
0.1%
700091 6
 
0.1%
700092 33
0.3%
ValueCountFrequency (%)
711893 1
 
< 0.1%
711891 10
 
0.1%
711874 22
0.2%
711873 22
0.2%
711872 24
0.2%
711864 27
0.3%
711863 6
 
0.1%
711862 3
 
< 0.1%
711861 11
0.1%
711860 1
 
< 0.1%

소재지전체주소
Text

Distinct8808
Distinct (%)88.2%
Missing8
Missing (%)0.1%
Memory size156.2 KiB
2024-04-22T05:02:24.303432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length52
Mean length24.053643
Min length16

Characters and Unicode

Total characters240344
Distinct characters452
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8033 ?
Unique (%)80.4%

Sample

1st row대구광역시 수성구 만촌동 311번지
2nd row대구광역시 달서구 송현동 142-1번지
3rd row대구광역시 북구 산격동 724-12번지 산격주공아파트상가 나동 101호
4th row대구광역시 서구 평리동 600-1번지
5th row대구광역시 북구 고성동3가 40-5번지
ValueCountFrequency (%)
대구광역시 9993
22.8%
달서구 2055
 
4.7%
북구 1704
 
3.9%
수성구 1447
 
3.3%
동구 1284
 
2.9%
서구 1104
 
2.5%
남구 970
 
2.2%
중구 942
 
2.2%
대명동 716
 
1.6%
달성군 486
 
1.1%
Other values (8939) 23094
52.7%
2024-04-22T05:02:25.736055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43548
18.1%
구 19787
 
8.2%
동 11440
 
4.8%
대 11412
 
4.7%
1 11370
 
4.7%
지 10810
 
4.5%
시 10118
 
4.2%
역 10034
 
4.2%
광 10010
 
4.2%
번 9888
 
4.1%
Other values (442) 91927
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 136981
57.0%
Decimal Number 50349
 
20.9%
Space Separator 43548
 
18.1%
Dash Punctuation 7950
 
3.3%
Open Punctuation 533
 
0.2%
Close Punctuation 522
 
0.2%
Other Punctuation 297
 
0.1%
Uppercase Letter 139
 
0.1%
Math Symbol 13
 
< 0.1%
Lowercase Letter 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 19787
14.4%
동 11440
 
8.4%
대 11412
 
8.3%
지 10810
 
7.9%
시 10118
 
7.4%
역 10034
 
7.3%
광 10010
 
7.3%
번 9888
 
7.2%
서 3444
 
2.5%
성 2759
 
2.0%
Other values (393) 37279
27.2%
Uppercase Letter
ValueCountFrequency (%)
A 36
25.9%
B 17
12.2%
T 16
11.5%
P 15
10.8%
L 11
 
7.9%
C 11
 
7.9%
G 8
 
5.8%
E 4
 
2.9%
R 3
 
2.2%
O 3
 
2.2%
Other values (11) 15
10.8%
Decimal Number
ValueCountFrequency (%)
1 11370
22.6%
0 7221
14.3%
2 6089
12.1%
3 4992
9.9%
4 4007
 
8.0%
5 3788
 
7.5%
6 3440
 
6.8%
7 3372
 
6.7%
9 3042
 
6.0%
8 3028
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
27.3%
b 2
18.2%
a 2
18.2%
c 1
 
9.1%
m 1
 
9.1%
p 1
 
9.1%
t 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 256
86.2%
. 28
 
9.4%
/ 11
 
3.7%
& 1
 
0.3%
@ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
43548
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7950
100.0%
Open Punctuation
ValueCountFrequency (%)
( 533
100.0%
Close Punctuation
ValueCountFrequency (%)
) 522
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 136975
57.0%
Common 103213
42.9%
Latin 150
 
0.1%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 19787
14.4%
동 11440
 
8.4%
대 11412
 
8.3%
지 10810
 
7.9%
시 10118
 
7.4%
역 10034
 
7.3%
광 10010
 
7.3%
번 9888
 
7.2%
서 3444
 
2.5%
성 2759
 
2.0%
Other values (392) 37273
27.2%
Latin
ValueCountFrequency (%)
A 36
24.0%
B 17
11.3%
T 16
10.7%
P 15
10.0%
L 11
 
7.3%
C 11
 
7.3%
G 8
 
5.3%
E 4
 
2.7%
R 3
 
2.0%
e 3
 
2.0%
Other values (18) 26
17.3%
Common
ValueCountFrequency (%)
43548
42.2%
1 11370
 
11.0%
- 7950
 
7.7%
0 7221
 
7.0%
2 6089
 
5.9%
3 4992
 
4.8%
4 4007
 
3.9%
5 3788
 
3.7%
6 3440
 
3.3%
7 3372
 
3.3%
Other values (11) 7436
 
7.2%
Han
ValueCountFrequency (%)
內 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 136975
57.0%
ASCII 103363
43.0%
CJK 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43548
42.1%
1 11370
 
11.0%
- 7950
 
7.7%
0 7221
 
7.0%
2 6089
 
5.9%
3 4992
 
4.8%
4 4007
 
3.9%
5 3788
 
3.7%
6 3440
 
3.3%
7 3372
 
3.3%
Other values (39) 7586
 
7.3%
Hangul
ValueCountFrequency (%)
구 19787
14.4%
동 11440
 
8.4%
대 11412
 
8.3%
지 10810
 
7.9%
시 10118
 
7.4%
역 10034
 
7.3%
광 10010
 
7.3%
번 9888
 
7.2%
서 3444
 
2.5%
성 2759
 
2.0%
Other values (392) 37273
27.2%
CJK
ValueCountFrequency (%)
內 6
100.0%

도로명전체주소
Text

MISSING 

Distinct3175
Distinct (%)92.8%
Missing6578
Missing (%)65.8%
Memory size156.2 KiB
2024-04-22T05:02:27.091169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length55
Mean length27.592344
Min length19

Characters and Unicode

Total characters94421
Distinct characters456
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3039 ?
Unique (%)88.8%

Sample

1st row대구광역시 북구 연암로 183, 나동 101호 (산격동,산격주공아파트상가)
2nd row대구광역시 서구 서대구로45길 61 (평리동)
3rd row대구광역시 서구 팔달로46길 10 (원대동3가)
4th row대구광역시 남구 명덕시장길 64 (대명동)
5th row대구광역시 달성군 다사읍 대실역북로 80, 1층
ValueCountFrequency (%)
대구광역시 3422
 
17.9%
달서구 707
 
3.7%
북구 698
 
3.6%
1층 588
 
3.1%
동구 441
 
2.3%
수성구 405
 
2.1%
서구 330
 
1.7%
남구 310
 
1.6%
중구 300
 
1.6%
대명동 236
 
1.2%
Other values (3175) 11718
61.2%
2024-04-22T05:02:28.702826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15734
 
16.7%
구 7143
 
7.6%
대 4590
 
4.9%
동 4449
 
4.7%
1 3755
 
4.0%
시 3510
 
3.7%
역 3470
 
3.7%
광 3430
 
3.6%
( 3344
 
3.5%
) 3344
 
3.5%
Other values (446) 41652
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56094
59.4%
Space Separator 15734
 
16.7%
Decimal Number 13762
 
14.6%
Open Punctuation 3344
 
3.5%
Close Punctuation 3344
 
3.5%
Other Punctuation 1673
 
1.8%
Dash Punctuation 349
 
0.4%
Uppercase Letter 104
 
0.1%
Math Symbol 9
 
< 0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 7143
 
12.7%
대 4590
 
8.2%
동 4449
 
7.9%
시 3510
 
6.3%
역 3470
 
6.2%
광 3430
 
6.1%
로 3343
 
6.0%
길 1464
 
2.6%
서 1390
 
2.5%
달 1269
 
2.3%
Other values (400) 22036
39.3%
Uppercase Letter
ValueCountFrequency (%)
B 24
23.1%
A 20
19.2%
C 9
 
8.7%
T 8
 
7.7%
G 7
 
6.7%
L 5
 
4.8%
P 4
 
3.8%
E 4
 
3.8%
S 4
 
3.8%
O 3
 
2.9%
Other values (10) 16
15.4%
Decimal Number
ValueCountFrequency (%)
1 3755
27.3%
2 1913
13.9%
3 1469
 
10.7%
0 1174
 
8.5%
5 1154
 
8.4%
4 1135
 
8.2%
6 892
 
6.5%
7 825
 
6.0%
9 735
 
5.3%
8 710
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
c 1
12.5%
m 1
12.5%
b 1
12.5%
t 1
12.5%
p 1
12.5%
a 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 1666
99.6%
. 5
 
0.3%
/ 1
 
0.1%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
15734
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3344
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3344
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 349
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56093
59.4%
Common 38215
40.5%
Latin 112
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 7143
 
12.7%
대 4590
 
8.2%
동 4449
 
7.9%
시 3510
 
6.3%
역 3470
 
6.2%
광 3430
 
6.1%
로 3343
 
6.0%
길 1464
 
2.6%
서 1390
 
2.5%
달 1269
 
2.3%
Other values (399) 22035
39.3%
Latin
ValueCountFrequency (%)
B 24
21.4%
A 20
17.9%
C 9
 
8.0%
T 8
 
7.1%
G 7
 
6.2%
L 5
 
4.5%
P 4
 
3.6%
E 4
 
3.6%
S 4
 
3.6%
O 3
 
2.7%
Other values (17) 24
21.4%
Common
ValueCountFrequency (%)
15734
41.2%
1 3755
 
9.8%
( 3344
 
8.8%
) 3344
 
8.8%
2 1913
 
5.0%
, 1666
 
4.4%
3 1469
 
3.8%
0 1174
 
3.1%
5 1154
 
3.0%
4 1135
 
3.0%
Other values (9) 3527
 
9.2%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56091
59.4%
ASCII 38327
40.6%
Compat Jamo 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15734
41.1%
1 3755
 
9.8%
( 3344
 
8.7%
) 3344
 
8.7%
2 1913
 
5.0%
, 1666
 
4.3%
3 1469
 
3.8%
0 1174
 
3.1%
5 1154
 
3.0%
4 1135
 
3.0%
Other values (36) 3639
 
9.5%
Hangul
ValueCountFrequency (%)
구 7143
 
12.7%
대 4590
 
8.2%
동 4449
 
7.9%
시 3510
 
6.3%
역 3470
 
6.2%
광 3430
 
6.1%
로 3343
 
6.0%
길 1464
 
2.6%
서 1390
 
2.5%
달 1269
 
2.3%
Other values (397) 22033
39.3%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
50.0%
ㅊ 1
50.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1116
Distinct (%)33.3%
Missing6651
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean42036.652
Minimum41001
Maximum43023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T05:02:28.952686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41001
5-th percentile41122
Q141530
median41961
Q342620
95-th percentile42936
Maximum43023
Range2022
Interquartile range (IQR)1090

Descriptive statistics

Standard deviation581.47631
Coefficient of variation (CV)0.013832603
Kurtosis-1.246438
Mean42036.652
Median Absolute Deviation (MAD)500
Skewness-0.001535332
Sum1.4078075 × 108
Variance338114.7
MonotonicityNot monotonic
2024-04-22T05:02:29.222763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42415 30
 
0.3%
41845 19
 
0.2%
41581 19
 
0.2%
42612 17
 
0.2%
42620 15
 
0.1%
41453 15
 
0.1%
41586 15
 
0.1%
41007 14
 
0.1%
41423 14
 
0.1%
41918 13
 
0.1%
Other values (1106) 3178
31.8%
(Missing) 6651
66.5%
ValueCountFrequency (%)
41001 1
 
< 0.1%
41002 2
 
< 0.1%
41005 2
 
< 0.1%
41007 14
0.1%
41008 7
0.1%
41017 1
 
< 0.1%
41021 2
 
< 0.1%
41022 1
 
< 0.1%
41026 3
 
< 0.1%
41028 1
 
< 0.1%
ValueCountFrequency (%)
43023 2
 
< 0.1%
43019 3
< 0.1%
43018 4
< 0.1%
43017 3
< 0.1%
43015 1
 
< 0.1%
43014 5
0.1%
43013 1
 
< 0.1%
43011 1
 
< 0.1%
43009 3
< 0.1%
43008 3
< 0.1%

사업장명
Text

Distinct8660
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-22T05:02:30.092542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length6.5489
Min length1

Characters and Unicode

Total characters65489
Distinct characters864
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7973 ?
Unique (%)79.7%

Sample

1st row2군사령부(12대)
2nd row금호타이어달서대리점
3rd row한우식육점
4th row문화서점
5th row송림식당
ValueCountFrequency (%)
자판기 222
 
2.0%
세븐일레븐 87
 
0.8%
주)휘닉스벤딩서비스 58
 
0.5%
신우유통 38
 
0.3%
이마트24 36
 
0.3%
씨유 35
 
0.3%
gs25 34
 
0.3%
pc방 30
 
0.3%
영남대의료원 21
 
0.2%
지에스(gs)25 21
 
0.2%
Other values (8893) 10539
94.8%
2024-04-22T05:02:31.207065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 1935
 
3.0%
점 1594
 
2.4%
자 1558
 
2.4%
기 1523
 
2.3%
구 1469
 
2.2%
판 1369
 
2.1%
1133
 
1.7%
동 994
 
1.5%
식 947
 
1.4%
마 888
 
1.4%
Other values (854) 52079
79.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60080
91.7%
Uppercase Letter 1396
 
2.1%
Decimal Number 1358
 
2.1%
Space Separator 1133
 
1.7%
Close Punctuation 652
 
1.0%
Open Punctuation 650
 
1.0%
Lowercase Letter 107
 
0.2%
Other Punctuation 85
 
0.1%
Dash Punctuation 27
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 1935
 
3.2%
점 1594
 
2.7%
자 1558
 
2.6%
기 1523
 
2.5%
구 1469
 
2.4%
판 1369
 
2.3%
동 994
 
1.7%
식 947
 
1.6%
마 888
 
1.5%
성 867
 
1.4%
Other values (788) 46936
78.1%
Uppercase Letter
ValueCountFrequency (%)
C 355
25.4%
P 207
14.8%
G 184
13.2%
S 176
12.6%
U 112
 
8.0%
K 52
 
3.7%
L 37
 
2.7%
O 28
 
2.0%
A 27
 
1.9%
T 25
 
1.8%
Other values (16) 193
13.8%
Lowercase Letter
ValueCountFrequency (%)
c 24
22.4%
p 19
17.8%
e 13
12.1%
o 10
9.3%
a 8
 
7.5%
i 8
 
7.5%
n 4
 
3.7%
l 3
 
2.8%
k 2
 
1.9%
r 2
 
1.9%
Other values (10) 14
13.1%
Decimal Number
ValueCountFrequency (%)
2 494
36.4%
5 220
16.2%
4 219
16.1%
1 156
 
11.5%
3 85
 
6.3%
0 69
 
5.1%
6 36
 
2.7%
7 32
 
2.4%
8 31
 
2.3%
9 16
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 61
71.8%
, 15
 
17.6%
& 5
 
5.9%
' 2
 
2.4%
/ 2
 
2.4%
Space Separator
ValueCountFrequency (%)
1133
100.0%
Close Punctuation
ValueCountFrequency (%)
) 652
100.0%
Open Punctuation
ValueCountFrequency (%)
( 650
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60075
91.7%
Common 3905
 
6.0%
Latin 1504
 
2.3%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 1935
 
3.2%
점 1594
 
2.7%
자 1558
 
2.6%
기 1523
 
2.5%
구 1469
 
2.4%
판 1369
 
2.3%
동 994
 
1.7%
식 947
 
1.6%
마 888
 
1.5%
성 867
 
1.4%
Other values (786) 46931
78.1%
Latin
ValueCountFrequency (%)
C 355
23.6%
P 207
13.8%
G 184
12.2%
S 176
11.7%
U 112
 
7.4%
K 52
 
3.5%
L 37
 
2.5%
O 28
 
1.9%
A 27
 
1.8%
T 25
 
1.7%
Other values (37) 301
20.0%
Common
ValueCountFrequency (%)
1133
29.0%
) 652
16.7%
( 650
16.6%
2 494
12.7%
5 220
 
5.6%
4 219
 
5.6%
1 156
 
4.0%
3 85
 
2.2%
0 69
 
1.8%
. 61
 
1.6%
Other values (9) 166
 
4.3%
Han
ValueCountFrequency (%)
內 4
80.0%
無 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60073
91.7%
ASCII 5408
 
8.3%
CJK 5
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 1935
 
3.2%
점 1594
 
2.7%
자 1558
 
2.6%
기 1523
 
2.5%
구 1469
 
2.4%
판 1369
 
2.3%
동 994
 
1.7%
식 947
 
1.6%
마 888
 
1.5%
성 867
 
1.4%
Other values (784) 46929
78.1%
ASCII
ValueCountFrequency (%)
1133
21.0%
) 652
12.1%
( 650
12.0%
2 494
9.1%
C 355
 
6.6%
5 220
 
4.1%
4 219
 
4.0%
P 207
 
3.8%
G 184
 
3.4%
S 176
 
3.3%
Other values (55) 1118
20.7%
CJK
ValueCountFrequency (%)
內 4
80.0%
無 1
 
20.0%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
50.0%
ㅌ 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct5281
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0078721 × 1013
Minimum2.0020116 × 1013
Maximum2.0201029 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T05:02:31.447521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0020116 × 1013
5-th percentile2.0020327 × 1013
Q12.0021105 × 1013
median2.0060166 × 1013
Q32.0120626 × 1013
95-th percentile2.019092 × 1013
Maximum2.0201029 × 1013
Range1.8091312 × 1011
Interquartile range (IQR)9.9521155 × 1010

Descriptive statistics

Standard deviation5.9598835 × 1010
Coefficient of variation (CV)0.0029682585
Kurtosis-0.85373222
Mean2.0078721 × 1013
Median Absolute Deviation (MAD)3.9559 × 1010
Skewness0.73740159
Sum2.0078721 × 1017
Variance3.5520211 × 1021
MonotonicityNot monotonic
2024-04-22T05:02:31.713335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20031218000000 143
 
1.4%
20021107000000 97
 
1.0%
20020117000000 85
 
0.9%
20020121000000 77
 
0.8%
20020122000000 75
 
0.8%
20020614000000 75
 
0.8%
20021030000000 73
 
0.7%
20020527000000 67
 
0.7%
20020522000000 63
 
0.6%
20021028000000 63
 
0.6%
Other values (5271) 9182
91.8%
ValueCountFrequency (%)
20020116000000 14
 
0.1%
20020117000000 85
0.9%
20020118000000 37
0.4%
20020121000000 77
0.8%
20020122000000 75
0.8%
20020123000000 47
0.5%
20020125000000 1
 
< 0.1%
20020128000000 3
 
< 0.1%
20020129000000 10
 
0.1%
20020204000000 16
 
0.2%
ValueCountFrequency (%)
20201029121444 1
< 0.1%
20201028163326 1
< 0.1%
20201028142800 1
< 0.1%
20201028135040 1
< 0.1%
20201028135012 1
< 0.1%
20201027172124 1
< 0.1%
20201026135715 1
< 0.1%
20201026091518 1
< 0.1%
20201023161929 1
< 0.1%
20201023134934 1
< 0.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
9168 
U
 
832

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 9168
91.7%
U 832
 
8.3%

Length

2024-04-22T05:02:31.955825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:02:32.116588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 9168
91.7%
u 832
 
8.3%

데이터갱신일자
Date

Distinct471
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2020-10-31 02:40:00
2024-04-22T05:02:32.308462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T05:02:32.550182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

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

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 10000
100.0%

Length

2024-04-22T05:02:32.778711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:02:32.932994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 10000
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct7471
Distinct (%)79.8%
Missing641
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean342960.77
Minimum325831.39
Maximum358060.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T05:02:33.111224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325831.39
5-th percentile335130.1
Q1339861.95
median342874.95
Q3345933.43
95-th percentile352895.28
Maximum358060.65
Range32229.256
Interquartile range (IQR)6071.4771

Descriptive statistics

Standard deviation4860.8665
Coefficient of variation (CV)0.014173243
Kurtosis0.59635147
Mean342960.77
Median Absolute Deviation (MAD)3039.892
Skewness0.073737656
Sum3.2097699 × 109
Variance23628023
MonotonicityNot monotonic
2024-04-22T05:02:33.358245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343157.682044 54
 
0.5%
345141.357576 51
 
0.5%
344867.643963 36
 
0.4%
345549.11017 31
 
0.3%
339243.983122 18
 
0.2%
345032.238221 17
 
0.2%
342935.432334 16
 
0.2%
344047.164924 16
 
0.2%
343787.134091 14
 
0.1%
339096.139718 14
 
0.1%
Other values (7461) 9092
90.9%
(Missing) 641
 
6.4%
ValueCountFrequency (%)
325831.391262 1
< 0.1%
326154.899807 1
< 0.1%
326269.666487 1
< 0.1%
326417.272694 1
< 0.1%
326534.608033 1
< 0.1%
326635.578062 1
< 0.1%
326660.851514 1
< 0.1%
326703.14585 1
< 0.1%
326755.194077 2
< 0.1%
326766.322228 1
< 0.1%
ValueCountFrequency (%)
358060.647419 1
< 0.1%
356668.763448 1
< 0.1%
356589.560791 1
< 0.1%
356578.373419 1
< 0.1%
356533.072677 1
< 0.1%
356530.179947 1
< 0.1%
356521.273092 1
< 0.1%
356508.020702 1
< 0.1%
356484.612255 1
< 0.1%
356431.884326 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct7472
Distinct (%)79.8%
Missing641
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean263542.17
Minimum238029.01
Maximum278909.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T05:02:33.618574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238029.01
5-th percentile257748.58
Q1261443.15
median263628.48
Q3265732.09
95-th percentile270734.88
Maximum278909.06
Range40880.052
Interquartile range (IQR)4288.9367

Descriptive statistics

Standard deviation4256.2908
Coefficient of variation (CV)0.016150322
Kurtosis4.8157144
Mean263542.17
Median Absolute Deviation (MAD)2145.1134
Skewness-0.862709
Sum2.4664911 × 109
Variance18116012
MonotonicityNot monotonic
2024-04-22T05:02:33.884001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261957.795169 54
 
0.5%
267096.362462 51
 
0.5%
264091.210417 36
 
0.4%
268620.845678 31
 
0.3%
268026.454531 18
 
0.2%
262949.871621 17
 
0.2%
265132.987974 16
 
0.2%
264310.975711 16
 
0.2%
264065.576741 14
 
0.1%
263228.641031 13
 
0.1%
Other values (7462) 9093
90.9%
(Missing) 641
 
6.4%
ValueCountFrequency (%)
238029.007127 1
< 0.1%
239380.163891 1
< 0.1%
240209.547189 1
< 0.1%
240270.873923 1
< 0.1%
240405.052319 1
< 0.1%
240460.074049 1
< 0.1%
240481.502376 1
< 0.1%
240757.761547 1
< 0.1%
240930.669713 1
< 0.1%
241113.414701 1
< 0.1%
ValueCountFrequency (%)
278909.058905 1
 
< 0.1%
278336.223852 4
< 0.1%
278269.027313 1
 
< 0.1%
278149.556874 2
< 0.1%
278148.233339 1
 
< 0.1%
278117.387967 1
 
< 0.1%
278116.5272 1
 
< 0.1%
278081.466697 1
 
< 0.1%
278080.761551 1
 
< 0.1%
278068.782101 2
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
식품자동판매기영업
9998 
<NA>
 
2

Length

Max length9
Median length9
Mean length8.999
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 9998
> 99.9%
<NA> 2
 
< 0.1%

Length

2024-04-22T05:02:34.130937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:02:34.296899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 9998
> 99.9%
na 2
 
< 0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9963 
0
 
37

Length

Max length4
Median length4
Mean length3.9889
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> 9963
99.6%
0 37
 
0.4%

Length

2024-04-22T05:02:34.476135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:02:34.648298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9963
99.6%
0 37
 
0.4%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9962 
0
 
37
1
 
1

Length

Max length4
Median length4
Mean length3.9886
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> 9962
99.6%
0 37
 
0.4%
1 1
 
< 0.1%

Length

2024-04-22T05:02:34.826539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:02:35.001993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9962
99.6%
0 37
 
0.4%
1 1
 
< 0.1%

영업장주변구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-22T05:02:35.339911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row주택가주변
ValueCountFrequency (%)
주택가주변 1
100.0%
2024-04-22T05:02:35.897797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

급수시설구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8131 
상수도전용
1851 
간이상수도
 
13
지하수전용
 
3
전용상수도(특정시설의 자가용 수도)
 
1

Length

Max length19
Median length4
Mean length4.1895
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8131
81.3%
상수도전용 1851
 
18.5%
간이상수도 13
 
0.1%
지하수전용 3
 
< 0.1%
전용상수도(특정시설의 자가용 수도) 1
 
< 0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

Length

2024-04-22T05:02:36.119716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:02:36.319385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8131
81.3%
상수도전용 1851
 
18.5%
간이상수도 13
 
0.1%
지하수전용 3
 
< 0.1%
전용상수도(특정시설의 1
 
< 0.1%
자가용 1
 
< 0.1%
수도 1
 
< 0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

본사종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6523 
<NA>
3455 
1
 
21
500
 
1

Length

Max length4
Median length1
Mean length2.0367
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row0
3rd row1
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 6523
65.2%
<NA> 3455
34.5%
1 21
 
0.2%
500 1
 
< 0.1%

Length

2024-04-22T05:02:36.536223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:02:36.722246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6523
65.2%
na 3455
34.5%
1 21
 
0.2%
500 1
 
< 0.1%

공장사무직종업원수
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6540 
<NA>
3455 
1
 
5

Length

Max length4
Median length1
Mean length2.0365
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 6540
65.4%
<NA> 3455
34.5%
1 5
 
0.1%

Length

2024-04-22T05:02:36.917923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:02:37.098721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6540
65.4%
na 3455
34.5%
1 5
 
< 0.1%

공장판매직종업원수
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6386 
<NA>
3455 
1
 
155
2
 
4

Length

Max length4
Median length1
Mean length2.0365
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 6386
63.9%
<NA> 3455
34.5%
1 155
 
1.6%
2 4
 
< 0.1%

Length

2024-04-22T05:02:37.288859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:02:37.472525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6386
63.9%
na 3455
34.5%
1 155
 
1.6%
2 4
 
< 0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6542 
<NA>
3455 
1
 
2
2
 
1

Length

Max length4
Median length1
Mean length2.0365
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 6542
65.4%
<NA> 3455
34.5%
1 2
 
< 0.1%
2 1
 
< 0.1%

Length

2024-04-22T05:02:37.668722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:02:37.854400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6542
65.4%
na 3455
34.5%
1 2
 
< 0.1%
2 1
 
< 0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7535 
자가
2028 
임대
 
437

Length

Max length4
Median length4
Mean length3.507
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7535
75.3%
자가 2028
 
20.3%
임대 437
 
4.4%

Length

2024-04-22T05:02:38.348041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:02:38.541661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7535
75.3%
자가 2028
 
20.3%
임대 437
 
4.4%

보증액
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.8%
Missing8935
Missing (%)89.3%
Infinite0
Infinite (%)0.0%
Mean397187.79
Minimum0
Maximum1 × 108
Zeros1056
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T05:02:38.704060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1 × 108
Range1 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5646293.2
Coefficient of variation (CV)14.215677
Kurtosis255.48794
Mean397187.79
Median Absolute Deviation (MAD)0
Skewness15.773553
Sum4.23005 × 108
Variance3.1880627 × 1013
MonotonicityNot monotonic
2024-04-22T05:02:38.899378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1056
 
10.6%
80000000 2
 
< 0.1%
100000000 2
 
< 0.1%
5000 1
 
< 0.1%
30000000 1
 
< 0.1%
10000000 1
 
< 0.1%
8000000 1
 
< 0.1%
15000000 1
 
< 0.1%
(Missing) 8935
89.3%
ValueCountFrequency (%)
0 1056
10.6%
5000 1
 
< 0.1%
8000000 1
 
< 0.1%
10000000 1
 
< 0.1%
15000000 1
 
< 0.1%
30000000 1
 
< 0.1%
80000000 2
 
< 0.1%
100000000 2
 
< 0.1%
ValueCountFrequency (%)
100000000 2
 
< 0.1%
80000000 2
 
< 0.1%
30000000 1
 
< 0.1%
15000000 1
 
< 0.1%
10000000 1
 
< 0.1%
8000000 1
 
< 0.1%
5000 1
 
< 0.1%
0 1056
10.6%

월세액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct8
Distinct (%)0.8%
Missing8936
Missing (%)89.4%
Infinite0
Infinite (%)0.0%
Mean10714.516
Minimum0
Maximum8000000
Zeros1056
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T05:02:39.085152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8000000
Range8000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation249963.03
Coefficient of variation (CV)23.329381
Kurtosis984.76496
Mean10714.516
Median Absolute Deviation (MAD)0
Skewness30.901572
Sum11400245
Variance6.2481516 × 1010
MonotonicityNot monotonic
2024-04-22T05:02:39.325111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1056
 
10.6%
200000 2
 
< 0.1%
245 1
 
< 0.1%
1100000 1
 
< 0.1%
600000 1
 
< 0.1%
500000 1
 
< 0.1%
8000000 1
 
< 0.1%
800000 1
 
< 0.1%
(Missing) 8936
89.4%
ValueCountFrequency (%)
0 1056
10.6%
245 1
 
< 0.1%
200000 2
 
< 0.1%
500000 1
 
< 0.1%
600000 1
 
< 0.1%
800000 1
 
< 0.1%
1100000 1
 
< 0.1%
8000000 1
 
< 0.1%
ValueCountFrequency (%)
8000000 1
 
< 0.1%
1100000 1
 
< 0.1%
800000 1
 
< 0.1%
600000 1
 
< 0.1%
500000 1
 
< 0.1%
200000 2
 
< 0.1%
245 1
 
< 0.1%
0 1056
10.6%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size97.7 KiB
False
9998 
(Missing)
 
2
ValueCountFrequency (%)
False 9998
> 99.9%
(Missing) 2
 
< 0.1%
2024-04-22T05:02:39.644359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

SKEWED  ZEROS 

Distinct13
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.034202841
Minimum0
Maximum163.66
Zeros9883
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T05:02:39.907194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum163.66
Range163.66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6556121
Coefficient of variation (CV)48.405689
Kurtosis9546.9538
Mean0.034202841
Median Absolute Deviation (MAD)0
Skewness96.696162
Sum341.96
Variance2.7410513
MonotonicityNot monotonic
2024-04-22T05:02:40.261947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 9883
98.8%
1.0 90
 
0.9%
2.0 10
 
0.1%
3.0 4
 
< 0.1%
4.0 2
 
< 0.1%
1.5 2
 
< 0.1%
7.0 1
 
< 0.1%
163.66 1
 
< 0.1%
6.0 1
 
< 0.1%
15.0 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0.0 9883
98.8%
1.0 90
 
0.9%
1.5 2
 
< 0.1%
2.0 10
 
0.1%
3.0 4
 
< 0.1%
3.3 1
 
< 0.1%
4.0 2
 
< 0.1%
5.0 1
 
< 0.1%
6.0 1
 
< 0.1%
7.0 1
 
< 0.1%
ValueCountFrequency (%)
163.66 1
 
< 0.1%
15.0 1
 
< 0.1%
9.0 1
 
< 0.1%
7.0 1
 
< 0.1%
6.0 1
 
< 0.1%
5.0 1
 
< 0.1%
4.0 2
 
< 0.1%
3.3 1
 
< 0.1%
3.0 4
 
< 0.1%
2.0 10
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

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
84718472식품자동판매기업07_22_10_P34600003460000-112-2001-0013420010214<NA>3폐업2폐업20040930<NA><NA><NA>6326822<NA>706803대구광역시 수성구 만촌동 311번지<NA><NA>2군사령부(12대)20021107000000I2018-08-31 23:59:59.0식품자동판매기영업349597.151442264658.846734식품자동판매기영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
98489849식품자동판매기업07_22_10_P34700003470000-112-2002-0016020020409<NA>3폐업2폐업20040823<NA><NA><NA>053 6261919<NA>704821대구광역시 달서구 송현동 142-1번지<NA><NA>금호타이어달서대리점20020705000000I2018-08-31 23:59:59.0식품자동판매기영업340262.993226260363.490072식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
50635064식품자동판매기업07_22_10_P34500003450000-112-2004-0019520040915<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0702767대구광역시 북구 산격동 724-12번지 산격주공아파트상가 나동 101호대구광역시 북구 연암로 183, 나동 101호 (산격동,산격주공아파트상가)41532한우식육점20131127151851I2018-08-31 23:59:59.0식품자동판매기영업343954.889867267834.090945식품자동판매기영업<NA><NA><NA><NA><NA><NA>1000자가00N0.0<NA><NA><NA>
35123513식품자동판매기업07_22_10_P34300003430000-112-1990-0000619900629<NA>3폐업2폐업20191031<NA><NA><NA>053 5525478<NA>703834대구광역시 서구 평리동 600-1번지대구광역시 서구 서대구로45길 61 (평리동)41760문화서점20191031113609U2019-11-02 02:40:00.0식품자동판매기영업339730.79075265291.169677식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
59335934식품자동판매기업07_22_10_P34500003450000-112-2001-0012520010604<NA>3폐업2폐업20090826<NA><NA><NA>053 3583451<NA>702073대구광역시 북구 고성동3가 40-5번지<NA><NA>송림식당20080515160050I2018-08-31 23:59:59.0식품자동판매기영업342973.12611266026.228696식품자동판매기영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
88018802식품자동판매기업07_22_10_P34700003470000-112-2001-0067420011227<NA>3폐업2폐업20060106<NA><NA><NA>053 6329897<NA>704800대구광역시 달서구 대천동 570-10번지<NA><NA>우리슈퍼20020522000000I2018-08-31 23:59:59.0식품자동판매기영업337786.34281258574.269134식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
36833684식품자동판매기업07_22_10_P34300003430000-112-1999-0004319990506<NA>3폐업2폐업20131231<NA><NA><NA>053 3545638<NA>703851대구광역시 서구 원대동3가 1393-15번지대구광역시 서구 팔달로46길 10 (원대동3가)41716수선집앞20041020000000I2018-08-31 23:59:59.0식품자동판매기영업342057.09769266337.314573식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
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