Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells144114
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_5월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000089629&dataSetDetailId=DDI_0000089683&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 (52.7%)Imbalance
위생업태명 is highly imbalanced (99.5%)Imbalance
남성종사자수 is highly imbalanced (96.4%)Imbalance
여성종사자수 is highly imbalanced (97.6%)Imbalance
급수시설구분명 is highly imbalanced (72.5%)Imbalance
본사종업원수 is highly imbalanced (52.4%)Imbalance
공장생산직종업원수 is highly imbalanced (53.2%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 1361 (13.6%) 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 2306 (23.1%) missing valuesMissing
소재지면적 has 8064 (80.6%) missing valuesMissing
도로명전체주소 has 6540 (65.4%) missing valuesMissing
도로명우편번호 has 6613 (66.1%) missing valuesMissing
좌표정보(X) has 634 (6.3%) missing valuesMissing
좌표정보(Y) has 634 (6.3%) 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 8945 (89.5%) missing valuesMissing
월세액 has 8946 (89.5%) 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 = -88.15763239)Skewed
소재지면적 is highly skewed (γ1 = 20.26264907)Skewed
보증액 is highly skewed (γ1 = 21.20855065)Skewed
월세액 is highly skewed (γ1 = 30.80947592)Skewed
시설총규모 is highly skewed (γ1 = 34.59328402)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 226 (2.3%) zerosZeros
보증액 has 1049 (10.5%) zerosZeros
월세액 has 1049 (10.5%) zerosZeros
시설총규모 has 9877 (98.8%) zerosZeros

Reproduction

Analysis started2024-04-18 05:17:35.814495
Analysis finished2024-04-18 05:17:37.911610
Duration2.1 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%
Mean5847.189
Minimum1
Maximum11745
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:17:37.990391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile585.95
Q12907.75
median5844.5
Q38783.25
95-th percentile11123.05
Maximum11745
Range11744
Interquartile range (IQR)5875.5

Descriptive statistics

Standard deviation3388.0498
Coefficient of variation (CV)0.57943223
Kurtosis-1.2048851
Mean5847.189
Median Absolute Deviation (MAD)2938
Skewness0.0056568129
Sum58471890
Variance11478881
MonotonicityNot monotonic
2024-04-18T14:17:38.131171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9229 1
 
< 0.1%
11185 1
 
< 0.1%
1130 1
 
< 0.1%
7763 1
 
< 0.1%
1744 1
 
< 0.1%
1769 1
 
< 0.1%
9611 1
 
< 0.1%
5173 1
 
< 0.1%
7479 1
 
< 0.1%
1872 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
11745 1
< 0.1%
11744 1
< 0.1%
11743 1
< 0.1%
11742 1
< 0.1%
11741 1
< 0.1%
11740 1
< 0.1%
11739 1
< 0.1%
11738 1
< 0.1%
11737 1
< 0.1%
11736 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

2024-04-18T14:17:38.255304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:17:38.340600image/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

2024-04-18T14:17:38.438018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:17:38.521120image/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%
Mean3446055
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:17:38.615698image/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 deviation21140.285
Coefficient of variation (CV)0.0061346338
Kurtosis-1.1785846
Mean3446055
Median Absolute Deviation (MAD)20000
Skewness-0.23553539
Sum3.446055 × 1010
Variance4.4691167 × 108
MonotonicityNot monotonic
2024-04-18T14:17:38.755161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2056
20.6%
3450000 1704
17.0%
3460000 1455
14.5%
3420000 1295
13.0%
3430000 1115
11.2%
3410000 958
9.6%
3440000 954
9.5%
3480000 463
 
4.6%
ValueCountFrequency (%)
3410000 958
9.6%
3420000 1295
13.0%
3430000 1115
11.2%
3440000 954
9.5%
3450000 1704
17.0%
3460000 1455
14.5%
3470000 2056
20.6%
3480000 463
 
4.6%
ValueCountFrequency (%)
3480000 463
 
4.6%
3470000 2056
20.6%
3460000 1455
14.5%
3450000 1704
17.0%
3440000 954
9.5%
3430000 1115
11.2%
3420000 1295
13.0%
3410000 958
9.6%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T14:17:38.945948image/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 row3470000-112-1999-00043
2nd row3430000-112-1995-00010
3rd row3480000-112-1991-00020
4th row3440000-112-2008-00003
5th row3410000-112-2009-00001
ValueCountFrequency (%)
3470000-112-1999-00043 1
 
< 0.1%
3450000-112-2017-00018 1
 
< 0.1%
3430000-112-2001-00071 1
 
< 0.1%
3450000-112-2009-00028 1
 
< 0.1%
3420000-112-2006-00053 1
 
< 0.1%
3460000-112-2001-00208 1
 
< 0.1%
3420000-112-2002-00072 1
 
< 0.1%
3420000-112-2003-00016 1
 
< 0.1%
3470000-112-2001-00408 1
 
< 0.1%
3480000-112-2005-00021 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-18T14:17:39.269411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 86347
39.2%
1 30607
 
13.9%
- 30000
 
13.6%
2 24028
 
10.9%
3 14482
 
6.6%
4 14069
 
6.4%
5 4816
 
2.2%
9 4775
 
2.2%
7 4358
 
2.0%
6 3910
 
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 86347
45.4%
1 30607
 
16.1%
2 24028
 
12.6%
3 14482
 
7.6%
4 14069
 
7.4%
5 4816
 
2.5%
9 4775
 
2.5%
7 4358
 
2.3%
6 3910
 
2.1%
8 2608
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 86347
39.2%
1 30607
 
13.9%
- 30000
 
13.6%
2 24028
 
10.9%
3 14482
 
6.6%
4 14069
 
6.4%
5 4816
 
2.2%
9 4775
 
2.2%
7 4358
 
2.0%
6 3910
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 86347
39.2%
1 30607
 
13.9%
- 30000
 
13.6%
2 24028
 
10.9%
3 14482
 
6.6%
4 14069
 
6.4%
5 4816
 
2.2%
9 4775
 
2.2%
7 4358
 
2.0%
6 3910
 
1.8%

인허가일자
Real number (ℝ)

SKEWED 

Distinct3442
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20038049
Minimum199908
Maximum20210531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:17:39.411777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199908
5-th percentile19960419
Q120010426
median20020719
Q320051212
95-th percentile20171122
Maximum20210531
Range20010623
Interquartile range (IQR)40786.25

Descriptive statistics

Standard deviation206894.95
Coefficient of variation (CV)0.010325104
Kurtosis8455.8191
Mean20038049
Median Absolute Deviation (MAD)20007.5
Skewness-88.157632
Sum2.0038049 × 1011
Variance4.2805519 × 1010
MonotonicityNot monotonic
2024-04-18T14:17:39.553614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20010214 134
 
1.3%
20000904 47
 
0.5%
20010302 46
 
0.5%
20010303 42
 
0.4%
20010615 40
 
0.4%
20010710 40
 
0.4%
20010705 39
 
0.4%
20010213 39
 
0.4%
20010628 35
 
0.4%
20010709 34
 
0.3%
Other values (3432) 9504
95.0%
ValueCountFrequency (%)
199908 1
< 0.1%
19841124 1
< 0.1%
19841219 1
< 0.1%
19850116 1
< 0.1%
19850810 1
< 0.1%
19860123 1
< 0.1%
19880718 1
< 0.1%
19881202 1
< 0.1%
19890803 1
< 0.1%
19900315 1
< 0.1%
ValueCountFrequency (%)
20210531 1
 
< 0.1%
20210526 1
 
< 0.1%
20210520 1
 
< 0.1%
20210518 1
 
< 0.1%
20210517 4
< 0.1%
20210514 1
 
< 0.1%
20210510 1
 
< 0.1%
20210506 1
 
< 0.1%
20210503 2
< 0.1%
20210429 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
8639 
1
1361 

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 8639
86.4%
1 1361
 
13.6%

Length

2024-04-18T14:17:40.401860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:17:40.508715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 8639
86.4%
1 1361
 
13.6%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8639 
영업/정상
1361 

Length

Max length5
Median length2
Mean length2.4083
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 8639
86.4%
영업/정상 1361
 
13.6%

Length

2024-04-18T14:17:40.612653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:17:40.718665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8639
86.4%
영업/정상 1361
 
13.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8639 
1
1361 

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 8639
86.4%
1 1361
 
13.6%

Length

2024-04-18T14:17:40.820478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:17:40.905223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8639
86.4%
1 1361
 
13.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8639 
영업
1361 

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 8639
86.4%
영업 1361
 
13.6%

Length

2024-04-18T14:17:41.003248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:17:41.094205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8639
86.4%
영업 1361
 
13.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct3305
Distinct (%)38.3%
Missing1361
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean20087214
Minimum19970109
Maximum20210531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:17:41.195766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970109
5-th percentile20030225
Q120050316
median20071107
Q320120312
95-th percentile20190709
Maximum20210531
Range240422
Interquartile range (IQR)69995.5

Descriptive statistics

Standard deviation49209.381
Coefficient of variation (CV)0.0024497862
Kurtosis-0.34566445
Mean20087214
Median Absolute Deviation (MAD)30101
Skewness0.77628459
Sum1.7353345 × 1011
Variance2.4215631 × 109
MonotonicityNot monotonic
2024-04-18T14:17:41.332096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040413 70
 
0.7%
20091209 44
 
0.4%
20090406 43
 
0.4%
20051229 34
 
0.3%
20050408 31
 
0.3%
20050310 30
 
0.3%
20091216 30
 
0.3%
20040723 29
 
0.3%
20050307 24
 
0.2%
20050407 24
 
0.2%
Other values (3295) 8280
82.8%
(Missing) 1361
 
13.6%
ValueCountFrequency (%)
19970109 1
< 0.1%
19970709 1
< 0.1%
19971007 1
< 0.1%
19980411 1
< 0.1%
19981021 1
< 0.1%
19990303 1
< 0.1%
19990629 1
< 0.1%
19990712 1
< 0.1%
19991102 1
< 0.1%
20000104 1
< 0.1%
ValueCountFrequency (%)
20210531 5
0.1%
20210526 1
 
< 0.1%
20210521 1
 
< 0.1%
20210518 1
 
< 0.1%
20210512 1
 
< 0.1%
20210511 1
 
< 0.1%
20210504 1
 
< 0.1%
20210503 2
 
< 0.1%
20210430 3
< 0.1%
20210428 1
 
< 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 

Distinct7003
Distinct (%)91.0%
Missing2306
Missing (%)23.1%
Memory size156.2 KiB
2024-04-18T14:17:41.621916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.307772
Min length1

Characters and Unicode

Total characters79308
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

Unique6708 ?
Unique (%)87.2%

Sample

1st row053 5647643
2nd row053 5535423
3rd row5821149
4th row053 624 4440
5th row7550330
ValueCountFrequency (%)
053 5759
39.4%
3829661 84
 
0.6%
943 45
 
0.3%
9661 40
 
0.3%
9439661 34
 
0.2%
7439661 30
 
0.2%
941 30
 
0.2%
0019 19
 
0.1%
324 17
 
0.1%
6233547 17
 
0.1%
Other values (7137) 8531
58.4%
2024-04-18T14:17:42.052480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 13561
17.1%
3 11624
14.7%
0 10312
13.0%
6931
8.7%
6 6666
8.4%
2 6086
7.7%
7 5193
 
6.5%
4 5065
 
6.4%
1 5063
 
6.4%
9 4566
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72377
91.3%
Space Separator 6931
 
8.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 13561
18.7%
3 11624
16.1%
0 10312
14.2%
6 6666
9.2%
2 6086
8.4%
7 5193
 
7.2%
4 5065
 
7.0%
1 5063
 
7.0%
9 4566
 
6.3%
8 4241
 
5.9%
Space Separator
ValueCountFrequency (%)
6931
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 79308
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 13561
17.1%
3 11624
14.7%
0 10312
13.0%
6931
8.7%
6 6666
8.4%
2 6086
7.7%
7 5193
 
6.5%
4 5065
 
6.4%
1 5063
 
6.4%
9 4566
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 79308
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 13561
17.1%
3 11624
14.7%
0 10312
13.0%
6931
8.7%
6 6666
8.4%
2 6086
7.7%
7 5193
 
6.5%
4 5065
 
6.4%
1 5063
 
6.4%
9 4566
 
5.8%

소재지면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct46
Distinct (%)2.4%
Missing8064
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean2.0751136
Minimum0
Maximum320.1
Zeros226
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:17:42.229146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile3.3
Maximum320.1
Range320.1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.117877
Coefficient of variation (CV)5.8396209
Kurtosis471.72179
Mean2.0751136
Median Absolute Deviation (MAD)0
Skewness20.262649
Sum4017.42
Variance146.84294
MonotonicityNot monotonic
2024-04-18T14:17:42.349739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1.0 1315
 
13.2%
0.0 226
 
2.3%
3.3 135
 
1.4%
2.0 66
 
0.7%
3.0 52
 
0.5%
1.5 47
 
0.5%
1.44 14
 
0.1%
4.0 10
 
0.1%
6.6 9
 
0.1%
1.2 5
 
0.1%
Other values (36) 57
 
0.6%
(Missing) 8064
80.6%
ValueCountFrequency (%)
0.0 226
 
2.3%
0.25 1
 
< 0.1%
0.3 1
 
< 0.1%
0.5 4
 
< 0.1%
1.0 1315
13.2%
1.1 4
 
< 0.1%
1.2 5
 
0.1%
1.3 3
 
< 0.1%
1.4 2
 
< 0.1%
1.44 14
 
0.1%
ValueCountFrequency (%)
320.1 1
< 0.1%
303.0 1
< 0.1%
165.3 1
< 0.1%
117.39 1
< 0.1%
116.44 1
< 0.1%
100.0 2
< 0.1%
90.0 1
< 0.1%
57.01 1
< 0.1%
46.88 1
< 0.1%
30.16 1
< 0.1%

소재지우편번호
Real number (ℝ)

Distinct687
Distinct (%)6.9%
Missing56
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean704183.47
Minimum700010
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:17:42.474354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700440
Q1702701
median703848
Q3705810
95-th percentile706850
Maximum711893
Range11883
Interquartile range (IQR)3109

Descriptive statistics

Standard deviation2486.6197
Coefficient of variation (CV)0.00353121
Kurtosis1.5653186
Mean704183.47
Median Absolute Deviation (MAD)1954
Skewness0.92474389
Sum7.0024005 × 109
Variance6183277.7
MonotonicityNot monotonic
2024-04-18T14:17:42.599204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704080 158
 
1.6%
704060 91
 
0.9%
706170 87
 
0.9%
705802 81
 
0.8%
702845 75
 
0.8%
704919 71
 
0.7%
702040 67
 
0.7%
700412 67
 
0.7%
704834 60
 
0.6%
706140 54
 
0.5%
Other values (677) 9133
91.3%
(Missing) 56
 
0.6%
ValueCountFrequency (%)
700010 21
0.2%
700020 8
 
0.1%
700030 3
 
< 0.1%
700040 5
 
0.1%
700050 6
 
0.1%
700060 37
0.4%
700070 49
0.5%
700081 1
 
< 0.1%
700082 9
 
0.1%
700091 5
 
0.1%
ValueCountFrequency (%)
711893 1
 
< 0.1%
711891 12
0.1%
711874 18
0.2%
711873 17
0.2%
711872 25
0.2%
711871 1
 
< 0.1%
711864 27
0.3%
711863 7
 
0.1%
711862 5
 
0.1%
711861 8
 
0.1%

소재지전체주소
Text

Distinct8832
Distinct (%)88.4%
Missing8
Missing (%)0.1%
Memory size156.2 KiB
2024-04-18T14:17:42.951602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length52
Mean length24.033927
Min length16

Characters and Unicode

Total characters240147
Distinct characters461
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

Unique8074 ?
Unique (%)80.8%

Sample

1st row대구광역시 달서구 감삼동 155-32번지
2nd row대구광역시 서구 비산동 747-24번지
3rd row대구광역시 달성군 하빈면 동곡리 65번지
4th row대구광역시 남구 대명동 3020-44
5th row대구광역시 중구 대신동 1450-0001번지 지상 1층
ValueCountFrequency (%)
대구광역시 9993
22.8%
달서구 2056
 
4.7%
북구 1701
 
3.9%
수성구 1452
 
3.3%
동구 1296
 
3.0%
서구 1113
 
2.5%
중구 958
 
2.2%
남구 954
 
2.2%
대명동 701
 
1.6%
달성군 462
 
1.1%
Other values (9047) 23182
52.8%
2024-04-18T14:17:43.456785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43607
18.2%
구 19815
 
8.3%
동 11487
 
4.8%
1 11414
 
4.8%
대 11386
 
4.7%
지 10585
 
4.4%
시 10114
 
4.2%
역 10036
 
4.2%
광 10007
 
4.2%
번 9642
 
4.0%
Other values (451) 92054
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 136608
56.9%
Decimal Number 50458
 
21.0%
Space Separator 43607
 
18.2%
Dash Punctuation 7936
 
3.3%
Open Punctuation 540
 
0.2%
Close Punctuation 528
 
0.2%
Other Punctuation 295
 
0.1%
Uppercase Letter 148
 
0.1%
Math Symbol 13
 
< 0.1%
Lowercase Letter 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 19815
14.5%
동 11487
 
8.4%
대 11386
 
8.3%
지 10585
 
7.7%
시 10114
 
7.4%
역 10036
 
7.3%
광 10007
 
7.3%
번 9642
 
7.1%
서 3455
 
2.5%
성 2747
 
2.0%
Other values (401) 37334
27.3%
Uppercase Letter
ValueCountFrequency (%)
A 37
25.0%
B 17
11.5%
T 17
11.5%
P 15
10.1%
L 14
 
9.5%
G 14
 
9.5%
C 9
 
6.1%
E 4
 
2.7%
R 3
 
2.0%
O 3
 
2.0%
Other values (11) 15
10.1%
Decimal Number
ValueCountFrequency (%)
1 11414
22.6%
0 7294
14.5%
2 6102
12.1%
3 5000
9.9%
4 3991
 
7.9%
5 3780
 
7.5%
6 3458
 
6.9%
7 3324
 
6.6%
9 3049
 
6.0%
8 3046
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
23.1%
a 2
15.4%
b 2
15.4%
c 2
15.4%
i 1
 
7.7%
t 1
 
7.7%
p 1
 
7.7%
m 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 257
87.1%
. 27
 
9.2%
/ 9
 
3.1%
@ 1
 
0.3%
& 1
 
0.3%
Space Separator
ValueCountFrequency (%)
43607
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7936
100.0%
Open Punctuation
ValueCountFrequency (%)
( 540
100.0%
Close Punctuation
ValueCountFrequency (%)
) 528
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 136602
56.9%
Common 103378
43.0%
Latin 161
 
0.1%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 19815
14.5%
동 11487
 
8.4%
대 11386
 
8.3%
지 10585
 
7.7%
시 10114
 
7.4%
역 10036
 
7.3%
광 10007
 
7.3%
번 9642
 
7.1%
서 3455
 
2.5%
성 2747
 
2.0%
Other values (400) 37328
27.3%
Latin
ValueCountFrequency (%)
A 37
23.0%
B 17
10.6%
T 17
10.6%
P 15
9.3%
L 14
 
8.7%
G 14
 
8.7%
C 9
 
5.6%
E 4
 
2.5%
e 3
 
1.9%
R 3
 
1.9%
Other values (19) 28
17.4%
Common
ValueCountFrequency (%)
43607
42.2%
1 11414
 
11.0%
- 7936
 
7.7%
0 7294
 
7.1%
2 6102
 
5.9%
3 5000
 
4.8%
4 3991
 
3.9%
5 3780
 
3.7%
6 3458
 
3.3%
7 3324
 
3.2%
Other values (11) 7472
 
7.2%
Han
ValueCountFrequency (%)
內 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 136602
56.9%
ASCII 103539
43.1%
CJK 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43607
42.1%
1 11414
 
11.0%
- 7936
 
7.7%
0 7294
 
7.0%
2 6102
 
5.9%
3 5000
 
4.8%
4 3991
 
3.9%
5 3780
 
3.7%
6 3458
 
3.3%
7 3324
 
3.2%
Other values (40) 7633
 
7.4%
Hangul
ValueCountFrequency (%)
구 19815
14.5%
동 11487
 
8.4%
대 11386
 
8.3%
지 10585
 
7.7%
시 10114
 
7.4%
역 10036
 
7.3%
광 10007
 
7.3%
번 9642
 
7.1%
서 3455
 
2.5%
성 2747
 
2.0%
Other values (400) 37328
27.3%
CJK
ValueCountFrequency (%)
內 6
100.0%

도로명전체주소
Text

MISSING 

Distinct3212
Distinct (%)92.8%
Missing6540
Missing (%)65.4%
Memory size156.2 KiB
2024-04-18T14:17:43.804458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length54
Mean length27.739884
Min length19

Characters and Unicode

Total characters95980
Distinct characters458
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

Unique3083 ?
Unique (%)89.1%

Sample

1st row대구광역시 남구 대경6길 3 (대명동)
2nd row대구광역시 수성구 범안로8길 39 (범물동)
3rd row대구광역시 북구 학남로 73, 1층 (국우동)
4th row대구광역시 달서구 계대동문로3길 31 (신당동)
5th row대구광역시 남구 대덕로 185 (봉덕동)
ValueCountFrequency (%)
대구광역시 3460
 
17.8%
달서구 719
 
3.7%
북구 708
 
3.6%
1층 628
 
3.2%
동구 470
 
2.4%
수성구 399
 
2.0%
서구 337
 
1.7%
남구 306
 
1.6%
중구 302
 
1.6%
대명동 235
 
1.2%
Other values (3214) 11911
61.2%
2024-04-18T14:17:44.317668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16015
 
16.7%
구 7224
 
7.5%
대 4650
 
4.8%
동 4581
 
4.8%
1 3830
 
4.0%
시 3552
 
3.7%
역 3507
 
3.7%
광 3468
 
3.6%
( 3402
 
3.5%
) 3402
 
3.5%
Other values (448) 42349
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56964
59.3%
Space Separator 16015
 
16.7%
Decimal Number 13982
 
14.6%
Open Punctuation 3402
 
3.5%
Close Punctuation 3402
 
3.5%
Other Punctuation 1743
 
1.8%
Dash Punctuation 349
 
0.4%
Uppercase Letter 106
 
0.1%
Math Symbol 9
 
< 0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 7224
 
12.7%
대 4650
 
8.2%
동 4581
 
8.0%
시 3552
 
6.2%
역 3507
 
6.2%
광 3468
 
6.1%
로 3394
 
6.0%
길 1447
 
2.5%
서 1420
 
2.5%
달 1270
 
2.2%
Other values (402) 22451
39.4%
Uppercase Letter
ValueCountFrequency (%)
A 23
21.7%
B 23
21.7%
T 9
 
8.5%
C 8
 
7.5%
G 8
 
7.5%
P 5
 
4.7%
L 4
 
3.8%
E 4
 
3.8%
S 4
 
3.8%
M 3
 
2.8%
Other values (10) 15
14.2%
Decimal Number
ValueCountFrequency (%)
1 3830
27.4%
2 1950
13.9%
3 1493
 
10.7%
0 1226
 
8.8%
5 1180
 
8.4%
4 1136
 
8.1%
6 898
 
6.4%
7 824
 
5.9%
9 743
 
5.3%
8 702
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
p 1
12.5%
a 1
12.5%
t 1
12.5%
b 1
12.5%
m 1
12.5%
c 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 1735
99.5%
. 6
 
0.3%
/ 1
 
0.1%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
16015
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3402
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3402
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 349
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56963
59.3%
Common 38902
40.5%
Latin 114
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 7224
 
12.7%
대 4650
 
8.2%
동 4581
 
8.0%
시 3552
 
6.2%
역 3507
 
6.2%
광 3468
 
6.1%
로 3394
 
6.0%
길 1447
 
2.5%
서 1420
 
2.5%
달 1270
 
2.2%
Other values (401) 22450
39.4%
Latin
ValueCountFrequency (%)
A 23
20.2%
B 23
20.2%
T 9
 
7.9%
C 8
 
7.0%
G 8
 
7.0%
P 5
 
4.4%
L 4
 
3.5%
E 4
 
3.5%
S 4
 
3.5%
M 3
 
2.6%
Other values (17) 23
20.2%
Common
ValueCountFrequency (%)
16015
41.2%
1 3830
 
9.8%
( 3402
 
8.7%
) 3402
 
8.7%
2 1950
 
5.0%
, 1735
 
4.5%
3 1493
 
3.8%
0 1226
 
3.2%
5 1180
 
3.0%
4 1136
 
2.9%
Other values (9) 3533
 
9.1%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56961
59.3%
ASCII 39016
40.7%
Compat Jamo 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16015
41.0%
1 3830
 
9.8%
( 3402
 
8.7%
) 3402
 
8.7%
2 1950
 
5.0%
, 1735
 
4.4%
3 1493
 
3.8%
0 1226
 
3.1%
5 1180
 
3.0%
4 1136
 
2.9%
Other values (36) 3647
 
9.3%
Hangul
ValueCountFrequency (%)
구 7224
 
12.7%
대 4650
 
8.2%
동 4581
 
8.0%
시 3552
 
6.2%
역 3507
 
6.2%
광 3468
 
6.1%
로 3394
 
6.0%
길 1447
 
2.5%
서 1420
 
2.5%
달 1270
 
2.2%
Other values (399) 22448
39.4%
CJK
ValueCountFrequency (%)
內 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
50.0%
ㅊ 1
50.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1124
Distinct (%)33.2%
Missing6613
Missing (%)66.1%
Infinite0
Infinite (%)0.0%
Mean42025.189
Minimum41001
Maximum43023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:17:44.463018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41001
5-th percentile41120
Q141519
median41949
Q342618.5
95-th percentile42928
Maximum43023
Range2022
Interquartile range (IQR)1099.5

Descriptive statistics

Standard deviation583.72003
Coefficient of variation (CV)0.013889766
Kurtosis-1.2582485
Mean42025.189
Median Absolute Deviation (MAD)498
Skewness0.014994781
Sum1.4233931 × 108
Variance340729.08
MonotonicityNot monotonic
2024-04-18T14:17:44.614523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42415 31
 
0.3%
41586 18
 
0.2%
41423 17
 
0.2%
41845 17
 
0.2%
41453 17
 
0.2%
41937 17
 
0.2%
42620 16
 
0.2%
41505 15
 
0.1%
42612 15
 
0.1%
41581 14
 
0.1%
Other values (1114) 3210
32.1%
(Missing) 6613
66.1%
ValueCountFrequency (%)
41001 2
 
< 0.1%
41002 5
0.1%
41005 2
 
< 0.1%
41007 11
0.1%
41008 8
0.1%
41017 1
 
< 0.1%
41021 1
 
< 0.1%
41022 1
 
< 0.1%
41025 1
 
< 0.1%
41026 2
 
< 0.1%
ValueCountFrequency (%)
43023 2
 
< 0.1%
43019 3
< 0.1%
43018 4
< 0.1%
43017 1
 
< 0.1%
43015 1
 
< 0.1%
43014 5
0.1%
43013 1
 
< 0.1%
43011 2
 
< 0.1%
43009 4
< 0.1%
43008 3
< 0.1%

사업장명
Text

Distinct8708
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T14:17:44.877495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length6.573
Min length1

Characters and Unicode

Total characters65730
Distinct characters868
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8056 ?
Unique (%)80.6%

Sample

1st row복개촌조개마을
2nd row안동상회
3rd row매표소상회
4th row꽃네의상실자판기
5th row효도매점
ValueCountFrequency (%)
자판기 220
 
2.0%
세븐일레븐 84
 
0.8%
주)휘닉스벤딩서비스 54
 
0.5%
이마트24 46
 
0.4%
씨유 37
 
0.3%
신우유통 37
 
0.3%
gs25 34
 
0.3%
pc방 29
 
0.3%
지에스(gs)25 21
 
0.2%
영남대의료원 21
 
0.2%
Other values (8956) 10564
94.8%
2024-04-18T14:17:45.254488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 1970
 
3.0%
점 1596
 
2.4%
자 1547
 
2.4%
기 1530
 
2.3%
구 1471
 
2.2%
판 1358
 
2.1%
1160
 
1.8%
동 993
 
1.5%
식 940
 
1.4%
마 912
 
1.4%
Other values (858) 52253
79.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60215
91.6%
Uppercase Letter 1391
 
2.1%
Decimal Number 1387
 
2.1%
Space Separator 1160
 
1.8%
Close Punctuation 661
 
1.0%
Open Punctuation 659
 
1.0%
Lowercase Letter 149
 
0.2%
Other Punctuation 86
 
0.1%
Dash Punctuation 22
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 1970
 
3.3%
점 1596
 
2.7%
자 1547
 
2.6%
기 1530
 
2.5%
구 1471
 
2.4%
판 1358
 
2.3%
동 993
 
1.6%
식 940
 
1.6%
마 912
 
1.5%
성 880
 
1.5%
Other values (793) 47018
78.1%
Uppercase Letter
ValueCountFrequency (%)
C 346
24.9%
P 215
15.5%
G 195
14.0%
S 181
13.0%
U 97
 
7.0%
K 55
 
4.0%
L 42
 
3.0%
A 28
 
2.0%
T 27
 
1.9%
E 24
 
1.7%
Other values (16) 181
13.0%
Lowercase Letter
ValueCountFrequency (%)
c 35
23.5%
p 22
14.8%
e 22
14.8%
o 14
 
9.4%
a 9
 
6.0%
i 7
 
4.7%
f 6
 
4.0%
s 5
 
3.4%
l 4
 
2.7%
r 4
 
2.7%
Other values (10) 21
14.1%
Decimal Number
ValueCountFrequency (%)
2 505
36.4%
4 230
16.6%
5 221
15.9%
1 168
 
12.1%
3 92
 
6.6%
0 63
 
4.5%
6 33
 
2.4%
7 32
 
2.3%
8 28
 
2.0%
9 15
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 63
73.3%
, 18
 
20.9%
' 2
 
2.3%
& 2
 
2.3%
/ 1
 
1.2%
Space Separator
ValueCountFrequency (%)
1160
100.0%
Close Punctuation
ValueCountFrequency (%)
) 661
100.0%
Open Punctuation
ValueCountFrequency (%)
( 659
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60209
91.6%
Common 3975
 
6.0%
Latin 1540
 
2.3%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 1970
 
3.3%
점 1596
 
2.7%
자 1547
 
2.6%
기 1530
 
2.5%
구 1471
 
2.4%
판 1358
 
2.3%
동 993
 
1.6%
식 940
 
1.6%
마 912
 
1.5%
성 880
 
1.5%
Other values (791) 47012
78.1%
Latin
ValueCountFrequency (%)
C 346
22.5%
P 215
14.0%
G 195
12.7%
S 181
11.8%
U 97
 
6.3%
K 55
 
3.6%
L 42
 
2.7%
c 35
 
2.3%
A 28
 
1.8%
T 27
 
1.8%
Other values (36) 319
20.7%
Common
ValueCountFrequency (%)
1160
29.2%
) 661
16.6%
( 659
16.6%
2 505
12.7%
4 230
 
5.8%
5 221
 
5.6%
1 168
 
4.2%
3 92
 
2.3%
0 63
 
1.6%
. 63
 
1.6%
Other values (9) 153
 
3.8%
Han
ValueCountFrequency (%)
內 5
83.3%
無 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60207
91.6%
ASCII 5515
 
8.4%
CJK 6
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 1970
 
3.3%
점 1596
 
2.7%
자 1547
 
2.6%
기 1530
 
2.5%
구 1471
 
2.4%
판 1358
 
2.3%
동 993
 
1.6%
식 940
 
1.6%
마 912
 
1.5%
성 880
 
1.5%
Other values (789) 47010
78.1%
ASCII
ValueCountFrequency (%)
1160
21.0%
) 661
12.0%
( 659
11.9%
2 505
9.2%
C 346
 
6.3%
4 230
 
4.2%
5 221
 
4.0%
P 215
 
3.9%
G 195
 
3.5%
S 181
 
3.3%
Other values (55) 1142
20.7%
CJK
ValueCountFrequency (%)
內 5
83.3%
無 1
 
16.7%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
50.0%
ㅌ 1
50.0%

최종수정시점
Real number (ℝ)

Distinct5291
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0080273 × 1013
Minimum2.0020116 × 1013
Maximum2.0210531 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:17:45.392817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0020116 × 1013
5-th percentile2.0020327 × 1013
Q12.0021105 × 1013
median2.0060202 × 1013
Q32.0121102 × 1013
95-th percentile2.0200115 × 1013
Maximum2.0210531 × 1013
Range1.9041517 × 1011
Interquartile range (IQR)9.9997163 × 1010

Descriptive statistics

Standard deviation6.16118 × 1010
Coefficient of variation (CV)0.003068275
Kurtosis-0.84425503
Mean2.0080273 × 1013
Median Absolute Deviation (MAD)3.9595 × 1010
Skewness0.75168047
Sum2.0080273 × 1017
Variance3.7960139 × 1021
MonotonicityNot monotonic
2024-04-18T14:17:45.524748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20031218000000 150
 
1.5%
20021107000000 99
 
1.0%
20020122000000 84
 
0.8%
20020117000000 83
 
0.8%
20020121000000 73
 
0.7%
20021030000000 71
 
0.7%
20020617000000 69
 
0.7%
20020614000000 68
 
0.7%
20020527000000 67
 
0.7%
20020522000000 65
 
0.7%
Other values (5281) 9171
91.7%
ValueCountFrequency (%)
20020116000000 11
 
0.1%
20020117000000 83
0.8%
20020118000000 37
0.4%
20020121000000 73
0.7%
20020122000000 84
0.8%
20020123000000 48
0.5%
20020125000000 1
 
< 0.1%
20020128000000 1
 
< 0.1%
20020129000000 8
 
0.1%
20020204000000 16
 
0.2%
ValueCountFrequency (%)
20210531173524 1
< 0.1%
20210531140828 1
< 0.1%
20210531140558 1
< 0.1%
20210531111812 1
< 0.1%
20210531102307 1
< 0.1%
20210531100301 1
< 0.1%
20210531095748 1
< 0.1%
20210526180754 1
< 0.1%
20210526142625 1
< 0.1%
20210526114716 1
< 0.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
8988 
U
1012 

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 8988
89.9%
U 1012
 
10.1%

Length

2024-04-18T14:17:45.643185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:17:45.732528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 8988
89.9%
u 1012
 
10.1%

데이터갱신일자
Date

Distinct567
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-06-02 02:40:00
2024-04-18T14:17:45.844672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T14:17:45.971650image/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

2024-04-18T14:17:46.095954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:17:46.198885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 10000
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct7435
Distinct (%)79.4%
Missing634
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean342991.24
Minimum325831.39
Maximum358060.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:17:46.327182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325831.39
5-th percentile335197.92
Q1339875.05
median342864.54
Q3345960.48
95-th percentile352883.62
Maximum358060.65
Range32229.256
Interquartile range (IQR)6085.4314

Descriptive statistics

Standard deviation4835.2021
Coefficient of variation (CV)0.014097159
Kurtosis0.60101687
Mean342991.24
Median Absolute Deviation (MAD)3032.8249
Skewness0.081876484
Sum3.212456 × 109
Variance23379180
MonotonicityNot monotonic
2024-04-18T14:17:46.478992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343157.682044 55
 
0.5%
345141.357576 48
 
0.5%
344867.643963 32
 
0.3%
345549.11017 30
 
0.3%
339243.983122 17
 
0.2%
342935.432334 17
 
0.2%
345032.238221 17
 
0.2%
343787.134091 15
 
0.1%
344912.358902 13
 
0.1%
339284.621293 13
 
0.1%
Other values (7425) 9109
91.1%
(Missing) 634
 
6.3%
ValueCountFrequency (%)
325831.391262 1
< 0.1%
326154.899807 1
< 0.1%
326269.666487 1
< 0.1%
326417.272694 1
< 0.1%
326610.275967 1
< 0.1%
326635.578062 1
< 0.1%
326703.14585 1
< 0.1%
326755.194077 2
< 0.1%
326766.322228 1
< 0.1%
327051.071404 1
< 0.1%
ValueCountFrequency (%)
358060.647419 1
< 0.1%
356698.367083 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%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct7436
Distinct (%)79.4%
Missing634
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean263582.04
Minimum238029.01
Maximum278336.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:17:46.609554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238029.01
5-th percentile257859.39
Q1261484.24
median263680.18
Q3265743.41
95-th percentile270765
Maximum278336.22
Range40307.217
Interquartile range (IQR)4259.1684

Descriptive statistics

Standard deviation4192.0187
Coefficient of variation (CV)0.015904038
Kurtosis4.9478515
Mean263582.04
Median Absolute Deviation (MAD)2118.5044
Skewness-0.86773562
Sum2.4687094 × 109
Variance17573021
MonotonicityNot monotonic
2024-04-18T14:17:46.752592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261957.795169 55
 
0.5%
267096.362462 48
 
0.5%
264091.210417 32
 
0.3%
268620.845678 30
 
0.3%
264310.975711 17
 
0.2%
262949.871621 17
 
0.2%
268026.454531 17
 
0.2%
264065.576741 15
 
0.1%
264056.630949 13
 
0.1%
268253.830253 13
 
0.1%
Other values (7426) 9109
91.1%
(Missing) 634
 
6.3%
ValueCountFrequency (%)
238029.007127 1
< 0.1%
239380.163891 1
< 0.1%
239687.676988 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%
240550.011807 1
< 0.1%
240757.761547 1
< 0.1%
ValueCountFrequency (%)
278336.223852 4
< 0.1%
278318.296599 1
 
< 0.1%
278269.027313 1
 
< 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%
278048.41446 1
 
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
식품자동판매기영업
9996 
<NA>
 
4

Length

Max length9
Median length9
Mean length8.998
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 9996
> 99.9%
<NA> 4
 
< 0.1%

Length

2024-04-18T14:17:46.885230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:17:46.975855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 9996
> 99.9%
na 4
 
< 0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9962 
0
 
38

Length

Max length4
Median length4
Mean length3.9886
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> 9962
99.6%
0 38
 
0.4%

Length

2024-04-18T14:17:47.109560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:17:47.210694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9962
99.6%
0 38
 
0.4%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9961 
0
 
38
1
 
1

Length

Max length4
Median length4
Mean length3.9883
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> 9961
99.6%
0 38
 
0.4%
1 1
 
< 0.1%

Length

2024-04-18T14:17:47.307154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:17:47.401258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9961
99.6%
0 38
 
0.4%
1 1
 
< 0.1%

영업장주변구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T14:17:47.496445image/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%
2024-04-18T14:17:47.717943image/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>
8132 
상수도전용
1851 
간이상수도
 
12
지하수전용
 
3
상수도(음용)지하수(주방용)겸용
 
1

Length

Max length19
Median length4
Mean length4.1894
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8132
81.3%
상수도전용 1851
 
18.5%
간이상수도 12
 
0.1%
지하수전용 3
 
< 0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%
전용상수도(특정시설의 자가용 수도) 1
 
< 0.1%

Length

2024-04-18T14:17:47.843993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:17:47.955424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8132
81.3%
상수도전용 1851
 
18.5%
간이상수도 12
 
0.1%
지하수전용 3
 
< 0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%
전용상수도(특정시설의 1
 
< 0.1%
자가용 1
 
< 0.1%
수도 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
6534 
<NA>
3443 
1
 
22
500
 
1

Length

Max length4
Median length1
Mean length2.0331
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 6534
65.3%
<NA> 3443
34.4%
1 22
 
0.2%
500 1
 
< 0.1%

Length

2024-04-18T14:17:48.073633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:17:48.173935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6534
65.3%
na 3443
34.4%
1 22
 
0.2%
500 1
 
< 0.1%

공장사무직종업원수
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6550 
<NA>
3443 
1
 
7

Length

Max length4
Median length1
Mean length2.0329
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 6550
65.5%
<NA> 3443
34.4%
1 7
 
0.1%

Length

2024-04-18T14:17:48.281209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:17:48.403808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6550
65.5%
na 3443
34.4%
1 7
 
0.1%

공장판매직종업원수
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6395 
<NA>
3443 
1
 
157
2
 
5

Length

Max length4
Median length1
Mean length2.0329
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 6395
63.9%
<NA> 3443
34.4%
1 157
 
1.6%
2 5
 
0.1%

Length

2024-04-18T14:17:48.540272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:17:48.636911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6395
63.9%
na 3443
34.4%
1 157
 
1.6%
2 5
 
< 0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6552 
<NA>
3443 
1
 
4
2
 
1

Length

Max length4
Median length1
Mean length2.0329
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 6552
65.5%
<NA> 3443
34.4%
1 4
 
< 0.1%
2 1
 
< 0.1%

Length

2024-04-18T14:17:48.738331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:17:48.850527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6552
65.5%
na 3443
34.4%
1 4
 
< 0.1%
2 1
 
< 0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7534 
자가
2033 
임대
 
433

Length

Max length4
Median length4
Mean length3.5068
Min length2

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> 7534
75.3%
자가 2033
 
20.3%
임대 433
 
4.3%

Length

2024-04-18T14:17:48.982112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:17:49.103771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7534
75.3%
자가 2033
 
20.3%
임대 433
 
4.3%

보증액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)0.6%
Missing8945
Missing (%)89.5%
Infinite0
Infinite (%)0.0%
Mean249289.1
Minimum0
Maximum1 × 108
Zeros1049
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:17:49.203498image/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 deviation4487325.3
Coefficient of variation (CV)18.000487
Kurtosis464.96501
Mean249289.1
Median Absolute Deviation (MAD)0
Skewness21.208551
Sum2.63 × 108
Variance2.0136088 × 1013
MonotonicityNot monotonic
2024-04-18T14:17:49.315429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 1049
 
10.5%
100000000 2
 
< 0.1%
10000000 1
 
< 0.1%
15000000 1
 
< 0.1%
30000000 1
 
< 0.1%
8000000 1
 
< 0.1%
(Missing) 8945
89.5%
ValueCountFrequency (%)
0 1049
10.5%
8000000 1
 
< 0.1%
10000000 1
 
< 0.1%
15000000 1
 
< 0.1%
30000000 1
 
< 0.1%
100000000 2
 
< 0.1%
ValueCountFrequency (%)
100000000 2
 
< 0.1%
30000000 1
 
< 0.1%
15000000 1
 
< 0.1%
10000000 1
 
< 0.1%
8000000 1
 
< 0.1%
0 1049
10.5%

월세액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)0.6%
Missing8946
Missing (%)89.5%
Infinite0
Infinite (%)0.0%
Mean10436.433
Minimum0
Maximum8000000
Zeros1049
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:17:49.437292image/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 deviation251009.74
Coefficient of variation (CV)24.051296
Kurtosis977.80574
Mean10436.433
Median Absolute Deviation (MAD)0
Skewness30.809476
Sum11000000
Variance6.3005887 × 1010
MonotonicityNot monotonic
2024-04-18T14:17:49.566410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 1049
 
10.5%
8000000 1
 
< 0.1%
600000 1
 
< 0.1%
800000 1
 
< 0.1%
500000 1
 
< 0.1%
1100000 1
 
< 0.1%
(Missing) 8946
89.5%
ValueCountFrequency (%)
0 1049
10.5%
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%
0 1049
10.5%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size97.7 KiB
False
9996 
(Missing)
 
4
ValueCountFrequency (%)
False 9996
> 99.9%
(Missing) 4
 
< 0.1%
2024-04-18T14:17:49.673566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

SKEWED  ZEROS 

Distinct10
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.017707083
Minimum0
Maximum15
Zeros9877
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:17:49.745506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.24447181
Coefficient of variation (CV)13.806442
Kurtosis1724.1708
Mean0.017707083
Median Absolute Deviation (MAD)0
Skewness34.593284
Sum177
Variance0.059766468
MonotonicityNot monotonic
2024-04-18T14:17:49.865560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 9877
98.8%
1.0 97
 
1.0%
2.0 10
 
0.1%
3.0 4
 
< 0.1%
4.0 2
 
< 0.1%
1.5 2
 
< 0.1%
9.0 1
 
< 0.1%
6.0 1
 
< 0.1%
7.0 1
 
< 0.1%
15.0 1
 
< 0.1%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
0.0 9877
98.8%
1.0 97
 
1.0%
1.5 2
 
< 0.1%
2.0 10
 
0.1%
3.0 4
 
< 0.1%
4.0 2
 
< 0.1%
6.0 1
 
< 0.1%
7.0 1
 
< 0.1%
9.0 1
 
< 0.1%
15.0 1
 
< 0.1%
ValueCountFrequency (%)
15.0 1
 
< 0.1%
9.0 1
 
< 0.1%
7.0 1
 
< 0.1%
6.0 1
 
< 0.1%
4.0 2
 
< 0.1%
3.0 4
 
< 0.1%
2.0 10
 
0.1%
1.5 2
 
< 0.1%
1.0 97
 
1.0%
0.0 9877
98.8%

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
92289229식품자동판매기업07_22_10_P34700003470000-112-1999-0004319990525<NA>3폐업2폐업20050629<NA><NA><NA>053 5647643<NA>704954대구광역시 달서구 감삼동 155-32번지<NA><NA>복개촌조개마을20020524000000I2018-08-31 23:59:59.0식품자동판매기영업339373.306249262117.485096식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
37623763식품자동판매기업07_22_10_P34300003430000-112-1995-0001019950512<NA>3폐업2폐업20040625<NA><NA><NA>053 5535423<NA>703817대구광역시 서구 비산동 747-24번지<NA><NA>안동상회20020607000000I2018-08-31 23:59:59.0식품자동판매기영업341329.258648265898.830219식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
1166211663식품자동판매기업07_22_10_P34800003480000-112-1991-0002019911201<NA>1영업/정상1영업<NA><NA><NA><NA>5821149<NA>711821대구광역시 달성군 하빈면 동곡리 65번지<NA><NA>매표소상회20111010203449I2018-08-31 23:59:59.0식품자동판매기영업<NA><NA>식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
40974098식품자동판매기업07_22_10_P34400003440000-112-2008-0000320080630<NA>3폐업2폐업20201123<NA><NA><NA>053 624 4440<NA>705824대구광역시 남구 대명동 3020-44대구광역시 남구 대경6길 3 (대명동)42458꽃네의상실자판기20201123162753U2020-11-25 02:40:00.0식품자동판매기영업342154.413167262191.292589식품자동판매기영업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
730731식품자동판매기업07_22_10_P34100003410000-112-2009-0000120090410<NA>3폐업2폐업20100928<NA><NA><NA><NA><NA>700819대구광역시 중구 대신동 1450-0001번지 지상 1층<NA><NA>효도매점20100922165234I2018-08-31 23:59:59.0식품자동판매기영업342218.505201263701.598896식품자동판매기영업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
76577658식품자동판매기업07_22_10_P34600003460000-112-2001-0072620011113<NA>3폐업2폐업20050308<NA><NA><NA>7550330<NA>706836대구광역시 수성구 수성동4가 1085-4번지<NA><NA>남부카 마스타20020123000000I2018-08-31 23:59:59.0식품자동판매기영업346129.625596263401.570727식품자동판매기영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
19111912식품자동판매기업07_22_10_P34200003420000-112-2001-0021920010625<NA>3폐업2폐업20040625<NA><NA><NA>053 95496221.0701823대구광역시 동구 신천동 283-4번지<NA><NA>봉팔이버섯촌식당자판기20040217000000I2018-08-31 23:59:59.0식품자동판매기영업346387.858822265103.710417식품자동판매기영업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
74427443식품자동판매기업07_22_10_P34600003460000-112-2009-0000220090213<NA>3폐업2폐업20130712<NA><NA><NA><NA><NA>706815대구광역시 수성구 범물동 1369번지대구광역시 수성구 범안로8길 39 (범물동)42244쥼식당(치킨)20091218171412I2018-08-31 23:59:59.0식품자동판매기영업348214.427406258558.083333식품자동판매기영업<NA><NA><NA><NA>상수도전용<NA>0010<NA><NA><NA>N0.0<NA><NA><NA>
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번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
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