Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells129692
Missing cells (%)27.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 MiB
Average record size in memory415.0 B

Variable types

Numeric14
Categorical17
Text5
Unsupported9
DateTime1
Boolean1

Dataset

Description22년03월_6270000_대구광역시_07_22_19_P_즉석판매제조가공업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092678&dataSetDetailId=DDI_0000092720&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업태구분명 is highly imbalanced (99.7%)Imbalance
위생업태명 is highly imbalanced (99.7%)Imbalance
남성종사자수 is highly imbalanced (58.1%)Imbalance
여성종사자수 is highly imbalanced (58.1%)Imbalance
급수시설구분명 is highly imbalanced (63.8%)Imbalance
총종업원수 is highly imbalanced (58.7%)Imbalance
공장사무직종업원수 is highly imbalanced (56.4%)Imbalance
공장판매직종업원수 is highly imbalanced (52.7%)Imbalance
다중이용업소여부 is highly imbalanced (99.9%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 1799 (18.0%) missing valuesMissing
휴업시작일자 has 10000 (100.0%) missing valuesMissing
휴업종료일자 has 10000 (100.0%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지전화 has 5425 (54.2%) missing valuesMissing
소재지면적 has 4315 (43.1%) missing valuesMissing
소재지우편번호 has 121 (1.2%) missing valuesMissing
도로명전체주소 has 2613 (26.1%) missing valuesMissing
도로명우편번호 has 2680 (26.8%) missing valuesMissing
좌표정보(X) has 204 (2.0%) missing valuesMissing
좌표정보(Y) has 204 (2.0%) missing valuesMissing
영업장주변구분명 has 10000 (100.0%) missing valuesMissing
등급구분명 has 10000 (100.0%) missing valuesMissing
공장생산직종업원수 has 4566 (45.7%) missing valuesMissing
보증액 has 8869 (88.7%) missing valuesMissing
월세액 has 8870 (88.7%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 10000 (100.0%) missing valuesMissing
소재지우편번호 is highly skewed (γ1 = -35.63837806)Skewed
보증액 is highly skewed (γ1 = 28.04502587)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
영업장주변구분명 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
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 348 (3.5%) zerosZeros
공장생산직종업원수 has 4947 (49.5%) zerosZeros
보증액 has 1118 (11.2%) zerosZeros
월세액 has 1118 (11.2%) zerosZeros
시설총규모 has 9621 (96.2%) zerosZeros

Reproduction

Analysis started2024-04-19 07:01:09.108434
Analysis finished2024-04-19 07:01:11.494494
Duration2.39 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%
Mean12957.44
Minimum1
Maximum25850
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T16:01:11.570189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1281.85
Q16377.75
median13041.5
Q319552.25
95-th percentile24573.15
Maximum25850
Range25849
Interquartile range (IQR)13174.5

Descriptive statistics

Standard deviation7517.5252
Coefficient of variation (CV)0.58017057
Kurtosis-1.2268029
Mean12957.44
Median Absolute Deviation (MAD)6582.5
Skewness-0.011788317
Sum1.295744 × 108
Variance56513185
MonotonicityNot monotonic
2024-04-19T16:01:11.735621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1077 1
 
< 0.1%
24968 1
 
< 0.1%
806 1
 
< 0.1%
24835 1
 
< 0.1%
23090 1
 
< 0.1%
3673 1
 
< 0.1%
984 1
 
< 0.1%
8690 1
 
< 0.1%
5184 1
 
< 0.1%
6097 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
7 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
21 1
< 0.1%
23 1
< 0.1%
24 1
< 0.1%
27 1
< 0.1%
ValueCountFrequency (%)
25850 1
< 0.1%
25849 1
< 0.1%
25844 1
< 0.1%
25836 1
< 0.1%
25832 1
< 0.1%
25829 1
< 0.1%
25826 1
< 0.1%
25823 1
< 0.1%
25822 1
< 0.1%
25815 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

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

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 10000
100.0%

Length

2024-04-19T16:01:11.901726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:01:12.045645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 10000
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
07_22_19_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_19_P
2nd row07_22_19_P
3rd row07_22_19_P
4th row07_22_19_P
5th row07_22_19_P

Common Values

ValueCountFrequency (%)
07_22_19_P 10000
100.0%

Length

2024-04-19T16:01:12.170804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:01:12.288170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_19_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446654
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T16:01:12.395886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation22588.832
Coefficient of variation (CV)0.0065538437
Kurtosis-1.2710791
Mean3446654
Median Absolute Deviation (MAD)20000
Skewness-0.34947874
Sum3.446654 × 1010
Variance5.1025531 × 108
MonotonicityNot monotonic
2024-04-19T16:01:12.532732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2262
22.6%
3450000 1774
17.7%
3460000 1612
16.1%
3420000 1511
15.1%
3410000 1266
12.7%
3480000 556
 
5.6%
3430000 534
 
5.3%
3440000 485
 
4.9%
ValueCountFrequency (%)
3410000 1266
12.7%
3420000 1511
15.1%
3430000 534
 
5.3%
3440000 485
 
4.9%
3450000 1774
17.7%
3460000 1612
16.1%
3470000 2262
22.6%
3480000 556
 
5.6%
ValueCountFrequency (%)
3480000 556
 
5.6%
3470000 2262
22.6%
3460000 1612
16.1%
3450000 1774
17.7%
3440000 485
 
4.9%
3430000 534
 
5.3%
3420000 1511
15.1%
3410000 1266
12.7%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-19T16:01:12.804752image/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 row3410000-107-2004-00037
2nd row3410000-107-2017-00269
3rd row3450000-107-2001-00119
4th row3470000-107-2021-00122
5th row3410000-107-1976-00003
ValueCountFrequency (%)
3410000-107-2004-00037 1
 
< 0.1%
3440000-107-2005-00014 1
 
< 0.1%
3450000-107-2019-00210 1
 
< 0.1%
3450000-107-2010-00039 1
 
< 0.1%
3410000-107-2000-00025 1
 
< 0.1%
3480000-107-2008-00022 1
 
< 0.1%
3470000-107-2022-00062 1
 
< 0.1%
3420000-107-2001-00026 1
 
< 0.1%
3410000-107-2001-00052 1
 
< 0.1%
3480000-107-2004-00006 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-19T16:01:13.319254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 91991
41.8%
- 30000
 
13.6%
1 22580
 
10.3%
2 16934
 
7.7%
7 15205
 
6.9%
3 13825
 
6.3%
4 13163
 
6.0%
6 4279
 
1.9%
9 4234
 
1.9%
5 4199
 
1.9%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 91991
48.4%
1 22580
 
11.9%
2 16934
 
8.9%
7 15205
 
8.0%
3 13825
 
7.3%
4 13163
 
6.9%
6 4279
 
2.3%
9 4234
 
2.2%
5 4199
 
2.2%
8 3590
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 91991
41.8%
- 30000
 
13.6%
1 22580
 
10.3%
2 16934
 
7.7%
7 15205
 
6.9%
3 13825
 
6.3%
4 13163
 
6.0%
6 4279
 
1.9%
9 4234
 
1.9%
5 4199
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 91991
41.8%
- 30000
 
13.6%
1 22580
 
10.3%
2 16934
 
7.7%
7 15205
 
6.9%
3 13825
 
6.3%
4 13163
 
6.0%
6 4279
 
1.9%
9 4234
 
1.9%
5 4199
 
1.9%

인허가일자
Real number (ℝ)

Distinct4438
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20122499
Minimum19720317
Maximum20220401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T16:01:13.531738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19720317
5-th percentile19980211
Q120070525
median20160116
Q320190527
95-th percentile20210726
Maximum20220401
Range500084
Interquartile range (IQR)120002

Descriptive statistics

Standard deviation82911.266
Coefficient of variation (CV)0.0041203265
Kurtosis1.534725
Mean20122499
Median Absolute Deviation (MAD)49513
Skewness-1.1592992
Sum2.0122499 × 1011
Variance6.8742781 × 109
MonotonicityNot monotonic
2024-04-19T16:01:13.708618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000228 55
 
0.5%
20000229 54
 
0.5%
19960328 31
 
0.3%
20191125 13
 
0.1%
20201214 13
 
0.1%
19960320 12
 
0.1%
20170510 12
 
0.1%
20190430 12
 
0.1%
20030617 11
 
0.1%
20210112 11
 
0.1%
Other values (4428) 9776
97.8%
ValueCountFrequency (%)
19720317 1
< 0.1%
19720426 1
< 0.1%
19720501 1
< 0.1%
19720518 1
< 0.1%
19720523 1
< 0.1%
19720524 1
< 0.1%
19720529 1
< 0.1%
19720531 1
< 0.1%
19720612 2
< 0.1%
19720621 1
< 0.1%
ValueCountFrequency (%)
20220401 6
0.1%
20220330 4
< 0.1%
20220329 2
 
< 0.1%
20220328 3
< 0.1%
20220325 1
 
< 0.1%
20220324 1
 
< 0.1%
20220323 2
 
< 0.1%
20220322 4
< 0.1%
20220321 4
< 0.1%
20220318 4
< 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
8201 
1
1799 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 8201
82.0%
1 1799
 
18.0%

Length

2024-04-19T16:01:13.901880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:01:14.040079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 8201
82.0%
1 1799
 
18.0%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8201 
영업/정상
1799 

Length

Max length5
Median length2
Mean length2.5397
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 8201
82.0%
영업/정상 1799
 
18.0%

Length

2024-04-19T16:01:14.153553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:01:14.242321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8201
82.0%
영업/정상 1799
 
18.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8201 
1
1799 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 8201
82.0%
1 1799
 
18.0%

Length

2024-04-19T16:01:14.336607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:01:14.443748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8201
82.0%
1 1799
 
18.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8201 
영업
1799 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 8201
82.0%
영업 1799
 
18.0%

Length

2024-04-19T16:01:14.534724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:01:14.623358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8201
82.0%
영업 1799
 
18.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct3797
Distinct (%)46.3%
Missing1799
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean20145876
Minimum20000212
Maximum20220401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T16:01:14.725657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000212
5-th percentile20040609
Q120100702
median20170118
Q320190915
95-th percentile20210905
Maximum20220401
Range220189
Interquartile range (IQR)90213

Descriptive statistics

Standard deviation55994.641
Coefficient of variation (CV)0.0027794592
Kurtosis-0.84636138
Mean20145876
Median Absolute Deviation (MAD)31096
Skewness-0.63094283
Sum1.6521633 × 1011
Variance3.1353998 × 109
MonotonicityNot monotonic
2024-04-19T16:01:14.879956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20141014 13
 
0.1%
20181114 13
 
0.1%
20201231 13
 
0.1%
20170531 12
 
0.1%
20180731 12
 
0.1%
20201230 12
 
0.1%
20190821 12
 
0.1%
20200813 11
 
0.1%
20181128 11
 
0.1%
20191231 11
 
0.1%
Other values (3787) 8081
80.8%
(Missing) 1799
 
18.0%
ValueCountFrequency (%)
20000212 1
< 0.1%
20000719 1
< 0.1%
20010116 1
< 0.1%
20010131 1
< 0.1%
20010413 1
< 0.1%
20010502 1
< 0.1%
20010602 1
< 0.1%
20010728 1
< 0.1%
20010906 1
< 0.1%
20011217 1
< 0.1%
ValueCountFrequency (%)
20220401 2
 
< 0.1%
20220331 8
0.1%
20220330 3
 
< 0.1%
20220329 1
 
< 0.1%
20220328 1
 
< 0.1%
20220327 2
 
< 0.1%
20220325 2
 
< 0.1%
20220324 5
0.1%
20220323 1
 
< 0.1%
20220322 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 

Distinct3647
Distinct (%)79.7%
Missing5425
Missing (%)54.2%
Memory size156.2 KiB
2024-04-19T16:01:15.273411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.833661
Min length3

Characters and Unicode

Total characters49564
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

Unique3321 ?
Unique (%)72.6%

Sample

1st row053 4208072
2nd row053 3572317
3rd row053 4247836
4th row053767 2728
5th row053 294 9415
ValueCountFrequency (%)
053 2906
29.2%
031 268
 
2.7%
02 154
 
1.5%
055 106
 
1.1%
070 98
 
1.0%
051 61
 
0.6%
062 40
 
0.4%
1234 38
 
0.4%
858 35
 
0.4%
032 34
 
0.3%
Other values (3780) 6196
62.4%
2024-04-19T16:01:16.209720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7518
15.2%
0 7424
15.0%
3 6643
13.4%
5535
11.2%
2 4339
8.8%
6 3465
7.0%
7 3305
6.7%
1 3236
6.5%
4 2849
 
5.7%
8 2793
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 44029
88.8%
Space Separator 5535
 
11.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7518
17.1%
0 7424
16.9%
3 6643
15.1%
2 4339
9.9%
6 3465
7.9%
7 3305
7.5%
1 3236
7.3%
4 2849
 
6.5%
8 2793
 
6.3%
9 2457
 
5.6%
Space Separator
ValueCountFrequency (%)
5535
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49564
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7518
15.2%
0 7424
15.0%
3 6643
13.4%
5535
11.2%
2 4339
8.8%
6 3465
7.0%
7 3305
6.7%
1 3236
6.5%
4 2849
 
5.7%
8 2793
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49564
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7518
15.2%
0 7424
15.0%
3 6643
13.4%
5535
11.2%
2 4339
8.8%
6 3465
7.0%
7 3305
6.7%
1 3236
6.5%
4 2849
 
5.7%
8 2793
 
5.6%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct2012
Distinct (%)35.4%
Missing4315
Missing (%)43.1%
Infinite0
Infinite (%)0.0%
Mean22.462549
Minimum0
Maximum863.5
Zeros348
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T16:01:16.464099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median16.34
Q331
95-th percentile60.83
Maximum863.5
Range863.5
Interquartile range (IQR)25

Descriptive statistics

Standard deviation27.067582
Coefficient of variation (CV)1.2050094
Kurtosis211.34902
Mean22.462549
Median Absolute Deviation (MAD)11.35
Skewness9.0671974
Sum127699.59
Variance732.65399
MonotonicityNot monotonic
2024-04-19T16:01:16.640949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 348
 
3.5%
6.0 172
 
1.7%
3.3 154
 
1.5%
6.6 108
 
1.1%
4.0 102
 
1.0%
10.0 77
 
0.8%
12.0 71
 
0.7%
33.0 69
 
0.7%
3.0 66
 
0.7%
5.0 60
 
0.6%
Other values (2002) 4458
44.6%
(Missing) 4315
43.1%
ValueCountFrequency (%)
0.0 348
3.5%
0.32 1
 
< 0.1%
0.4 1
 
< 0.1%
0.5 2
 
< 0.1%
0.56 1
 
< 0.1%
0.6 1
 
< 0.1%
0.72 1
 
< 0.1%
0.75 2
 
< 0.1%
0.8 2
 
< 0.1%
0.84 3
 
< 0.1%
ValueCountFrequency (%)
863.5 1
< 0.1%
604.2 1
< 0.1%
305.0 1
< 0.1%
301.2 1
< 0.1%
247.0 1
< 0.1%
243.76 1
< 0.1%
243.0 1
< 0.1%
218.7 1
< 0.1%
207.28 1
< 0.1%
201.0 1
< 0.1%

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct592
Distinct (%)6.0%
Missing121
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean703984.96
Minimum431815
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T16:01:16.866615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum431815
5-th percentile700082
Q1701860
median703839
Q3705806
95-th percentile706850
Maximum711891
Range280076
Interquartile range (IQR)3946

Descriptive statistics

Standard deviation3844.2449
Coefficient of variation (CV)0.0054606919
Kurtosis2543.2029
Mean703984.96
Median Absolute Deviation (MAD)1971
Skewness-35.638378
Sum6.9546674 × 109
Variance14778219
MonotonicityNot monotonic
2024-04-19T16:01:17.063434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701020 387
 
3.9%
704923 357
 
3.6%
700082 322
 
3.2%
706803 268
 
2.7%
700718 266
 
2.7%
704722 261
 
2.6%
704800 258
 
2.6%
702886 247
 
2.5%
702746 214
 
2.1%
704808 186
 
1.9%
Other values (582) 7113
71.1%
ValueCountFrequency (%)
431815 1
 
< 0.1%
683803 1
 
< 0.1%
700010 3
 
< 0.1%
700020 2
 
< 0.1%
700030 1
 
< 0.1%
700040 2
 
< 0.1%
700060 4
 
< 0.1%
700070 159
1.6%
700081 1
 
< 0.1%
700082 322
3.2%
ValueCountFrequency (%)
711891 17
 
0.2%
711874 56
0.6%
711873 4
 
< 0.1%
711872 1
 
< 0.1%
711864 15
 
0.1%
711863 3
 
< 0.1%
711862 2
 
< 0.1%
711858 1
 
< 0.1%
711852 41
0.4%
711851 4
 
< 0.1%

소재지전체주소
Text

Distinct5281
Distinct (%)52.9%
Missing26
Missing (%)0.3%
Memory size156.2 KiB
2024-04-19T16:01:17.441925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length25.414979
Min length15

Characters and Unicode

Total characters253489
Distinct characters428
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4663 ?
Unique (%)46.8%

Sample

1st row대구광역시 중구 동성로2가 0174 지하1층
2nd row대구광역시 중구 대봉동 0214 대구백화점프라자 지하1층
3rd row대구광역시 북구 고성동1가 56
4th row대구광역시 달서구 이곡동 1254
5th row대구광역시 중구 교동 0058-0019
ValueCountFrequency (%)
대구광역시 9972
 
20.2%
달서구 2258
 
4.6%
북구 1753
 
3.6%
수성구 1611
 
3.3%
동구 1509
 
3.1%
중구 1267
 
2.6%
상인동 585
 
1.2%
1층 581
 
1.2%
달성군 556
 
1.1%
칠성동2가 545
 
1.1%
Other values (5465) 28711
58.2%
2024-04-19T16:01:18.122890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49005
19.3%
구 20452
 
8.1%
대 12811
 
5.1%
동 12617
 
5.0%
1 12162
 
4.8%
시 10259
 
4.0%
역 10126
 
4.0%
광 9981
 
3.9%
0 7798
 
3.1%
2 6940
 
2.7%
Other values (418) 101338
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 145107
57.2%
Decimal Number 50824
 
20.0%
Space Separator 49005
 
19.3%
Dash Punctuation 6453
 
2.5%
Open Punctuation 595
 
0.2%
Close Punctuation 589
 
0.2%
Uppercase Letter 409
 
0.2%
Lowercase Letter 296
 
0.1%
Other Punctuation 201
 
0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 20452
 
14.1%
대 12811
 
8.8%
동 12617
 
8.7%
시 10259
 
7.1%
역 10126
 
7.0%
광 9981
 
6.9%
성 3933
 
2.7%
서 3256
 
2.2%
달 2904
 
2.0%
점 2278
 
1.6%
Other values (368) 56490
38.9%
Uppercase Letter
ValueCountFrequency (%)
B 101
24.7%
A 92
22.5%
S 70
17.1%
K 55
13.4%
H 44
10.8%
M 10
 
2.4%
G 8
 
2.0%
C 8
 
2.0%
L 4
 
1.0%
D 4
 
1.0%
Other values (9) 13
 
3.2%
Decimal Number
ValueCountFrequency (%)
1 12162
23.9%
0 7798
15.3%
2 6940
13.7%
5 5767
11.3%
3 4587
 
9.0%
6 3449
 
6.8%
4 3160
 
6.2%
8 2362
 
4.6%
7 2300
 
4.5%
9 2299
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 46
15.5%
o 42
14.2%
u 41
13.9%
l 41
13.9%
p 41
13.9%
s 41
13.9%
m 41
13.9%
b 1
 
0.3%
c 1
 
0.3%
k 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 174
86.6%
. 17
 
8.5%
/ 5
 
2.5%
@ 4
 
2.0%
: 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 7
70.0%
+ 3
30.0%
Space Separator
ValueCountFrequency (%)
49005
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6453
100.0%
Open Punctuation
ValueCountFrequency (%)
( 595
100.0%
Close Punctuation
ValueCountFrequency (%)
) 589
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 145103
57.2%
Common 107677
42.5%
Latin 705
 
0.3%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 20452
 
14.1%
대 12811
 
8.8%
동 12617
 
8.7%
시 10259
 
7.1%
역 10126
 
7.0%
광 9981
 
6.9%
성 3933
 
2.7%
서 3256
 
2.2%
달 2904
 
2.0%
점 2278
 
1.6%
Other values (367) 56486
38.9%
Latin
ValueCountFrequency (%)
B 101
14.3%
A 92
13.0%
S 70
9.9%
K 55
7.8%
e 46
 
6.5%
H 44
 
6.2%
o 42
 
6.0%
u 41
 
5.8%
l 41
 
5.8%
p 41
 
5.8%
Other values (19) 132
18.7%
Common
ValueCountFrequency (%)
49005
45.5%
1 12162
 
11.3%
0 7798
 
7.2%
2 6940
 
6.4%
- 6453
 
6.0%
5 5767
 
5.4%
3 4587
 
4.3%
6 3449
 
3.2%
4 3160
 
2.9%
8 2362
 
2.2%
Other values (11) 5994
 
5.6%
Han
ValueCountFrequency (%)
內 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 145103
57.2%
ASCII 108382
42.8%
CJK 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49005
45.2%
1 12162
 
11.2%
0 7798
 
7.2%
2 6940
 
6.4%
- 6453
 
6.0%
5 5767
 
5.3%
3 4587
 
4.2%
6 3449
 
3.2%
4 3160
 
2.9%
8 2362
 
2.2%
Other values (40) 6699
 
6.2%
Hangul
ValueCountFrequency (%)
구 20452
 
14.1%
대 12811
 
8.8%
동 12617
 
8.7%
시 10259
 
7.1%
역 10126
 
7.0%
광 9981
 
6.9%
성 3933
 
2.7%
서 3256
 
2.2%
달 2904
 
2.0%
점 2278
 
1.6%
Other values (367) 56486
38.9%
CJK
ValueCountFrequency (%)
內 4
100.0%

도로명전체주소
Text

MISSING 

Distinct4155
Distinct (%)56.2%
Missing2613
Missing (%)26.1%
Memory size156.2 KiB
2024-04-19T16:01:18.554022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length50
Mean length32.37742
Min length19

Characters and Unicode

Total characters239172
Distinct characters434
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3681 ?
Unique (%)49.8%

Sample

1st row대구광역시 중구 명덕로 333 (대봉동, 대구백화점프라자 지하1층)
2nd row대구광역시 북구 칠성남로14길 20 (고성동1가)
3rd row대구광역시 달서구 이곡동로 24, 이마트 성서점 (이곡동)
4th row대구광역시 중구 교동1길 19 (교동)
5th row대구광역시 동구 동부로 149, 신세계동대구복합환승센터 지하 1층 (신천동)
ValueCountFrequency (%)
대구광역시 7385
 
15.6%
1층 2096
 
4.4%
달서구 1611
 
3.4%
동구 1253
 
2.6%
북구 1224
 
2.6%
수성구 1211
 
2.6%
지하1층 1153
 
2.4%
중구 963
 
2.0%
달구벌대로 792
 
1.7%
신천동 437
 
0.9%
Other values (3634) 29204
61.7%
2024-04-19T16:01:19.056164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39968
 
16.7%
구 16445
 
6.9%
대 11399
 
4.8%
동 11173
 
4.7%
1 9499
 
4.0%
시 7717
 
3.2%
역 7570
 
3.2%
광 7393
 
3.1%
로 7338
 
3.1%
) 7202
 
3.0%
Other values (424) 113468
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 145000
60.6%
Space Separator 39968
 
16.7%
Decimal Number 31548
 
13.2%
Close Punctuation 7202
 
3.0%
Open Punctuation 7202
 
3.0%
Other Punctuation 6640
 
2.8%
Dash Punctuation 925
 
0.4%
Uppercase Letter 401
 
0.2%
Lowercase Letter 278
 
0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 16445
 
11.3%
대 11399
 
7.9%
동 11173
 
7.7%
시 7717
 
5.3%
역 7570
 
5.2%
광 7393
 
5.1%
로 7338
 
5.1%
층 4044
 
2.8%
성 3550
 
2.4%
달 3131
 
2.2%
Other values (375) 65240
45.0%
Uppercase Letter
ValueCountFrequency (%)
B 90
22.4%
A 78
19.5%
S 76
19.0%
K 67
16.7%
H 41
10.2%
C 11
 
2.7%
M 7
 
1.7%
G 5
 
1.2%
E 4
 
1.0%
L 3
 
0.7%
Other values (9) 19
 
4.7%
Decimal Number
ValueCountFrequency (%)
1 9499
30.1%
2 4898
15.5%
3 3453
 
10.9%
4 2454
 
7.8%
0 2261
 
7.2%
6 2054
 
6.5%
9 1961
 
6.2%
7 1949
 
6.2%
5 1552
 
4.9%
8 1467
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
e 43
15.5%
s 39
14.0%
o 39
14.0%
p 38
13.7%
u 38
13.7%
m 38
13.7%
l 38
13.7%
b 4
 
1.4%
k 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 6630
99.8%
. 5
 
0.1%
/ 2
 
< 0.1%
@ 2
 
< 0.1%
& 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 5
62.5%
+ 3
37.5%
Space Separator
ValueCountFrequency (%)
39968
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7202
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7202
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 925
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 145000
60.6%
Common 93493
39.1%
Latin 679
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 16445
 
11.3%
대 11399
 
7.9%
동 11173
 
7.7%
시 7717
 
5.3%
역 7570
 
5.2%
광 7393
 
5.1%
로 7338
 
5.1%
층 4044
 
2.8%
성 3550
 
2.4%
달 3131
 
2.2%
Other values (375) 65240
45.0%
Latin
ValueCountFrequency (%)
B 90
13.3%
A 78
11.5%
S 76
11.2%
K 67
9.9%
e 43
 
6.3%
H 41
 
6.0%
s 39
 
5.7%
o 39
 
5.7%
p 38
 
5.6%
u 38
 
5.6%
Other values (18) 130
19.1%
Common
ValueCountFrequency (%)
39968
42.7%
1 9499
 
10.2%
) 7202
 
7.7%
( 7202
 
7.7%
, 6630
 
7.1%
2 4898
 
5.2%
3 3453
 
3.7%
4 2454
 
2.6%
0 2261
 
2.4%
6 2054
 
2.2%
Other values (11) 7872
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 145000
60.6%
ASCII 94172
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39968
42.4%
1 9499
 
10.1%
) 7202
 
7.6%
( 7202
 
7.6%
, 6630
 
7.0%
2 4898
 
5.2%
3 3453
 
3.7%
4 2454
 
2.6%
0 2261
 
2.4%
6 2054
 
2.2%
Other values (39) 8551
 
9.1%
Hangul
ValueCountFrequency (%)
구 16445
 
11.3%
대 11399
 
7.9%
동 11173
 
7.7%
시 7717
 
5.3%
역 7570
 
5.2%
광 7393
 
5.1%
로 7338
 
5.1%
층 4044
 
2.8%
성 3550
 
2.4%
달 3131
 
2.2%
Other values (375) 65240
45.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct997
Distinct (%)13.6%
Missing2680
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean42015.925
Minimum14066
Maximum44220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T16:01:19.182382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14066
5-th percentile41097
Q141535
median41961
Q342620
95-th percentile42918
Maximum44220
Range30154
Interquartile range (IQR)1085

Descriptive statistics

Standard deviation672.70121
Coefficient of variation (CV)0.016010625
Kurtosis405.57049
Mean42015.925
Median Absolute Deviation (MAD)523
Skewness-9.7919662
Sum3.0755657 × 108
Variance452526.92
MonotonicityNot monotonic
2024-04-19T16:01:19.310762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41936 450
 
4.5%
41229 395
 
4.0%
42637 264
 
2.6%
41953 236
 
2.4%
42037 227
 
2.3%
42778 215
 
2.1%
42809 206
 
2.1%
41581 176
 
1.8%
41084 141
 
1.4%
42620 136
 
1.4%
Other values (987) 4874
48.7%
(Missing) 2680
26.8%
ValueCountFrequency (%)
14066 1
 
< 0.1%
41000 3
 
< 0.1%
41001 4
< 0.1%
41002 9
0.1%
41003 1
 
< 0.1%
41005 5
0.1%
41007 3
 
< 0.1%
41008 3
 
< 0.1%
41009 3
 
< 0.1%
41016 1
 
< 0.1%
ValueCountFrequency (%)
44220 1
 
< 0.1%
43024 4
 
< 0.1%
43018 19
0.2%
43017 8
0.1%
43015 1
 
< 0.1%
43014 11
0.1%
43013 2
 
< 0.1%
43010 3
 
< 0.1%
43009 4
 
< 0.1%
43008 6
 
0.1%

사업장명
Text

Distinct5604
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-19T16:01:19.515442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length6.1029
Min length1

Characters and Unicode

Total characters61029
Distinct characters848
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4623 ?
Unique (%)46.2%

Sample

1st row전라남도특산단지연합회
2nd row한설식품
3rd row동원방앗간
4th row판크로스
5th row강원참기름
ValueCountFrequency (%)
주식회사 255
 
2.3%
은호유통 108
 
1.0%
주)부촌푸드 96
 
0.9%
주)인네이처 80
 
0.7%
주)정성 71
 
0.7%
수라원 67
 
0.6%
한아름농특산 61
 
0.6%
주)미트벨리 60
 
0.6%
제이수산 59
 
0.5%
주)해가원 58
 
0.5%
Other values (5810) 9983
91.6%
2024-04-19T16:01:19.910186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2458
 
4.0%
) 2128
 
3.5%
( 2064
 
3.4%
식 1383
 
2.3%
산 1305
 
2.1%
드 1033
 
1.7%
이 949
 
1.6%
899
 
1.5%
원 894
 
1.5%
푸 815
 
1.3%
Other values (838) 47101
77.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54701
89.6%
Close Punctuation 2128
 
3.5%
Open Punctuation 2064
 
3.4%
Space Separator 899
 
1.5%
Lowercase Letter 457
 
0.7%
Uppercase Letter 449
 
0.7%
Decimal Number 195
 
0.3%
Other Punctuation 122
 
0.2%
Dash Punctuation 8
 
< 0.1%
Letter Number 3
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2458
 
4.5%
식 1383
 
2.5%
산 1305
 
2.4%
드 1033
 
1.9%
이 949
 
1.7%
원 894
 
1.6%
푸 815
 
1.5%
사 801
 
1.5%
품 772
 
1.4%
스 742
 
1.4%
Other values (764) 43549
79.6%
Uppercase Letter
ValueCountFrequency (%)
O 43
 
9.6%
S 37
 
8.2%
E 34
 
7.6%
F 31
 
6.9%
T 29
 
6.5%
I 28
 
6.2%
K 26
 
5.8%
A 24
 
5.3%
C 23
 
5.1%
D 21
 
4.7%
Other values (14) 153
34.1%
Lowercase Letter
ValueCountFrequency (%)
e 60
13.1%
a 55
12.0%
o 39
 
8.5%
n 36
 
7.9%
i 31
 
6.8%
t 25
 
5.5%
l 25
 
5.5%
s 21
 
4.6%
r 20
 
4.4%
h 16
 
3.5%
Other values (13) 129
28.2%
Decimal Number
ValueCountFrequency (%)
1 48
24.6%
0 31
15.9%
2 31
15.9%
5 18
 
9.2%
9 16
 
8.2%
7 15
 
7.7%
6 11
 
5.6%
8 11
 
5.6%
4 7
 
3.6%
3 7
 
3.6%
Other Punctuation
ValueCountFrequency (%)
& 37
30.3%
. 35
28.7%
, 21
17.2%
' 13
 
10.7%
/ 7
 
5.7%
! 5
 
4.1%
: 2
 
1.6%
· 1
 
0.8%
; 1
 
0.8%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 2128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2064
100.0%
Space Separator
ValueCountFrequency (%)
899
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54685
89.6%
Common 5419
 
8.9%
Latin 909
 
1.5%
Han 16
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2458
 
4.5%
식 1383
 
2.5%
산 1305
 
2.4%
드 1033
 
1.9%
이 949
 
1.7%
원 894
 
1.6%
푸 815
 
1.5%
사 801
 
1.5%
품 772
 
1.4%
스 742
 
1.4%
Other values (753) 43533
79.6%
Latin
ValueCountFrequency (%)
e 60
 
6.6%
a 55
 
6.1%
O 43
 
4.7%
o 39
 
4.3%
S 37
 
4.1%
n 36
 
4.0%
E 34
 
3.7%
i 31
 
3.4%
F 31
 
3.4%
T 29
 
3.2%
Other values (39) 514
56.5%
Common
ValueCountFrequency (%)
) 2128
39.3%
( 2064
38.1%
899
16.6%
1 48
 
0.9%
& 37
 
0.7%
. 35
 
0.6%
0 31
 
0.6%
2 31
 
0.6%
, 21
 
0.4%
5 18
 
0.3%
Other values (15) 107
 
2.0%
Han
ValueCountFrequency (%)
內 5
31.2%
眞 2
 
12.5%
微 1
 
6.2%
美 1
 
6.2%
森 1
 
6.2%
水 1
 
6.2%
純 1
 
6.2%
辛 1
 
6.2%
情 1
 
6.2%
男 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54685
89.6%
ASCII 6324
 
10.4%
CJK 16
 
< 0.1%
Number Forms 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2458
 
4.5%
식 1383
 
2.5%
산 1305
 
2.4%
드 1033
 
1.9%
이 949
 
1.7%
원 894
 
1.6%
푸 815
 
1.5%
사 801
 
1.5%
품 772
 
1.4%
스 742
 
1.4%
Other values (753) 43533
79.6%
ASCII
ValueCountFrequency (%)
) 2128
33.6%
( 2064
32.6%
899
14.2%
e 60
 
0.9%
a 55
 
0.9%
1 48
 
0.8%
O 43
 
0.7%
o 39
 
0.6%
S 37
 
0.6%
& 37
 
0.6%
Other values (61) 914
14.5%
CJK
ValueCountFrequency (%)
內 5
31.2%
眞 2
 
12.5%
微 1
 
6.2%
美 1
 
6.2%
森 1
 
6.2%
水 1
 
6.2%
純 1
 
6.2%
辛 1
 
6.2%
情 1
 
6.2%
男 1
 
6.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

Distinct7772
Distinct (%)77.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0145307 × 1013
Minimum2.0010821 × 1013
Maximum2.0220401 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T16:01:20.069806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0010821 × 1013
5-th percentile2.0021028 × 1013
Q12.0100202 × 1013
median2.0170812 × 1013
Q32.0200124 × 1013
95-th percentile2.0211118 × 1013
Maximum2.0220401 × 1013
Range2.0958017 × 1011
Interquartile range (IQR)9.9922383 × 1010

Descriptive statistics

Standard deviation6.2348336 × 1010
Coefficient of variation (CV)0.003094931
Kurtosis-0.83301604
Mean2.0145307 × 1013
Median Absolute Deviation (MAD)3.959457 × 1010
Skewness-0.71315652
Sum2.0145307 × 1017
Variance3.887315 × 1021
MonotonicityNot monotonic
2024-04-19T16:01:20.267931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021028000000 41
 
0.4%
20021021000000 31
 
0.3%
20041011000000 29
 
0.3%
20021023000000 23
 
0.2%
20020725000000 18
 
0.2%
20031218000000 18
 
0.2%
20010822000000 17
 
0.2%
20030604000000 16
 
0.2%
20011119000000 16
 
0.2%
20020530000000 15
 
0.1%
Other values (7762) 9776
97.8%
ValueCountFrequency (%)
20010821000000 9
0.1%
20010822000000 17
0.2%
20011015000000 1
 
< 0.1%
20011026000000 1
 
< 0.1%
20011109000000 1
 
< 0.1%
20011116000000 4
 
< 0.1%
20011119000000 16
0.2%
20011120000000 11
0.1%
20011121000000 13
0.1%
20011122000000 6
 
0.1%
ValueCountFrequency (%)
20220401165457 1
< 0.1%
20220401163801 1
< 0.1%
20220401151809 1
< 0.1%
20220401151326 1
< 0.1%
20220401113347 1
< 0.1%
20220401112127 1
< 0.1%
20220401103223 1
< 0.1%
20220401103221 1
< 0.1%
20220401100708 1
< 0.1%
20220401100513 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
6346 
U
3654 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 6346
63.5%
U 3654
36.5%

Length

2024-04-19T16:01:20.429698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:01:20.530931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 6346
63.5%
u 3654
36.5%

데이터갱신일자
Date

Distinct1234
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-04-03 02:40:00
2024-04-19T16:01:20.653519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T16:01:20.792907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
즉석판매제조가공업
9995 
기타
 
3
식육(숯불구이)
 
1
한식
 
1

Length

Max length9
Median length9
Mean length8.9971
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 9995
> 99.9%
기타 3
 
< 0.1%
식육(숯불구이) 1
 
< 0.1%
한식 1
 
< 0.1%

Length

2024-04-19T16:01:20.912058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:01:21.046483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 9995
> 99.9%
기타 3
 
< 0.1%
식육(숯불구이 1
 
< 0.1%
한식 1
 
< 0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct3797
Distinct (%)38.8%
Missing204
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean343244.23
Minimum196587.72
Maximum412704.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T16:01:21.167499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196587.72
5-th percentile335174.56
Q1339303.81
median343588.74
Q3346772.88
95-th percentile353863.76
Maximum412704.53
Range216116.82
Interquartile range (IQR)7469.0688

Descriptive statistics

Standard deviation5546.6161
Coefficient of variation (CV)0.016159386
Kurtosis52.071243
Mean343244.23
Median Absolute Deviation (MAD)3675.77
Skewness-1.5429442
Sum3.3624204 × 109
Variance30764950
MonotonicityNot monotonic
2024-04-19T16:01:21.312898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
347037.24197 385
 
3.9%
345032.238221 351
 
3.5%
339047.793379 348
 
3.5%
343588.735555 304
 
3.0%
337916.079938 272
 
2.7%
347757.985568 253
 
2.5%
337647.188647 246
 
2.5%
344047.164924 244
 
2.4%
340320.72271 213
 
2.1%
343705.561002 169
 
1.7%
Other values (3787) 7011
70.1%
(Missing) 204
 
2.0%
ValueCountFrequency (%)
196587.715042503 1
< 0.1%
326054.720502 1
< 0.1%
326635.578062 1
< 0.1%
326755.194077 2
< 0.1%
327115.471124 1
< 0.1%
327182.773724 1
< 0.1%
327243.505278 1
< 0.1%
327254.229824 1
< 0.1%
327316.443399 1
< 0.1%
327606.504994 1
< 0.1%
ValueCountFrequency (%)
412704.533173327 1
 
< 0.1%
358046.403776 1
 
< 0.1%
357987.298886 1
 
< 0.1%
357924.560528 1
 
< 0.1%
357881.329153 1
 
< 0.1%
357870.136201 1
 
< 0.1%
356965.555233 1
 
< 0.1%
356429.740533 1
 
< 0.1%
356425.755845 1
 
< 0.1%
356353.91544 5
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct3797
Distinct (%)38.8%
Missing204
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean263260.19
Minimum239131.29
Maximum432322.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T16:01:21.433612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239131.29
5-th percentile257920.89
Q1261152.31
median263506.5
Q3265346.57
95-th percentile271412.22
Maximum432322.23
Range193190.94
Interquartile range (IQR)4194.2647

Descriptive statistics

Standard deviation4708.1025
Coefficient of variation (CV)0.017883838
Kurtosis172.74505
Mean263260.19
Median Absolute Deviation (MAD)1900.9042
Skewness3.9631181
Sum2.5788968 × 109
Variance22166229
MonotonicityNot monotonic
2024-04-19T16:01:21.557872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265407.404337 385
 
3.9%
262949.871621 351
 
3.5%
258741.90218 348
 
3.5%
264119.01075 304
 
3.0%
262111.061698 272
 
2.7%
264692.74418 253
 
2.5%
258512.316695 246
 
2.5%
265132.987974 244
 
2.4%
272735.67566 213
 
2.1%
264056.630949 169
 
1.7%
Other values (3787) 7011
70.1%
(Missing) 204
 
2.0%
ValueCountFrequency (%)
239131.294994 1
< 0.1%
239523.935659 1
< 0.1%
239740.620046 1
< 0.1%
239755.017329385 1
< 0.1%
240330.145331 1
< 0.1%
240358.722944 2
< 0.1%
240452.59556 1
< 0.1%
240575.186404 1
< 0.1%
240627.674884 1
< 0.1%
240649.764742 2
< 0.1%
ValueCountFrequency (%)
432322.231939368 1
< 0.1%
278073.623286 1
< 0.1%
277985.364429 1
< 0.1%
277906.100504 1
< 0.1%
277832.872615 1
< 0.1%
277489.106534 2
< 0.1%
277335.082613 1
< 0.1%
277117.708907 1
< 0.1%
277097.799604 1
< 0.1%
276971.36215 1
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
즉석판매제조가공업
9995 
기타
 
3
식육(숯불구이)
 
1
한식
 
1

Length

Max length9
Median length9
Mean length8.9971
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 9995
> 99.9%
기타 3
 
< 0.1%
식육(숯불구이) 1
 
< 0.1%
한식 1
 
< 0.1%

Length

2024-04-19T16:01:21.682460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:01:21.779918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 9995
> 99.9%
기타 3
 
< 0.1%
식육(숯불구이 1
 
< 0.1%
한식 1
 
< 0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9152 
0
 
848

Length

Max length4
Median length4
Mean length3.7456
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> 9152
91.5%
0 848
 
8.5%

Length

2024-04-19T16:01:21.907135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:01:21.995658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9152
91.5%
0 848
 
8.5%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9152 
0
 
848

Length

Max length4
Median length4
Mean length3.7456
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> 9152
91.5%
0 848
 
8.5%

Length

2024-04-19T16:01:22.101534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:01:22.187023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9152
91.5%
0 848
 
8.5%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

급수시설구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7381 
상수도전용
2610 
지하수전용
 
5
전용상수도(특정시설의 자가용 수도)
 
3
간이상수도
 
1

Length

Max length19
Median length4
Mean length4.2661
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7381
73.8%
상수도전용 2610
 
26.1%
지하수전용 5
 
0.1%
전용상수도(특정시설의 자가용 수도) 3
 
< 0.1%
간이상수도 1
 
< 0.1%

Length

2024-04-19T16:01:22.290468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:01:22.797377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7381
73.8%
상수도전용 2610
 
26.1%
지하수전용 5
 
< 0.1%
전용상수도(특정시설의 3
 
< 0.1%
자가용 3
 
< 0.1%
수도 3
 
< 0.1%
간이상수도 1
 
< 0.1%

총종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9169 
0
 
831

Length

Max length4
Median length4
Mean length3.7507
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> 9169
91.7%
0 831
 
8.3%

Length

2024-04-19T16:01:22.916152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:01:23.027027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9169
91.7%
0 831
 
8.3%

본사종업원수
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
5341 
<NA>
4568 
1
 
82
2
 
9

Length

Max length4
Median length1
Mean length2.3704
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 5341
53.4%
<NA> 4568
45.7%
1 82
 
0.8%
2 9
 
0.1%

Length

2024-04-19T16:01:23.152251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:01:23.298787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5341
53.4%
na 4568
45.7%
1 82
 
0.8%
2 9
 
0.1%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
5417 
<NA>
4566 
1
 
15
2
 
1
10
 
1

Length

Max length4
Median length1
Mean length2.3699
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 5417
54.2%
<NA> 4566
45.7%
1 15
 
0.1%
2 1
 
< 0.1%
10 1
 
< 0.1%

Length

2024-04-19T16:01:23.461962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:01:23.559887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5417
54.2%
na 4566
45.7%
1 15
 
0.1%
2 1
 
< 0.1%
10 1
 
< 0.1%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
5047 
<NA>
4564 
1
 
333
2
 
52
3
 
3

Length

Max length4
Median length1
Mean length2.3693
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2
2nd row<NA>
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 5047
50.5%
<NA> 4564
45.6%
1 333
 
3.3%
2 52
 
0.5%
3 3
 
< 0.1%
20 1
 
< 0.1%

Length

2024-04-19T16:01:23.710210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:01:23.842549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5047
50.5%
na 4564
45.6%
1 333
 
3.3%
2 52
 
0.5%
3 3
 
< 0.1%
20 1
 
< 0.1%

공장생산직종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.1%
Missing4566
Missing (%)45.7%
Infinite0
Infinite (%)0.0%
Mean0.11869709
Minimum0
Maximum5
Zeros4947
Zeros (%)49.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T16:01:23.954376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.42176223
Coefficient of variation (CV)3.553265
Kurtosis23.771036
Mean0.11869709
Median Absolute Deviation (MAD)0
Skewness4.3974385
Sum645
Variance0.17788337
MonotonicityNot monotonic
2024-04-19T16:01:24.050564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 4947
49.5%
1 361
 
3.6%
2 102
 
1.0%
3 17
 
0.2%
4 6
 
0.1%
5 1
 
< 0.1%
(Missing) 4566
45.7%
ValueCountFrequency (%)
0 4947
49.5%
1 361
 
3.6%
2 102
 
1.0%
3 17
 
0.2%
4 6
 
0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 6
 
0.1%
3 17
 
0.2%
2 102
 
1.0%
1 361
 
3.6%
0 4947
49.5%

건물소유구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7174 
자가
1691 
임대
1135 

Length

Max length4
Median length4
Mean length3.4348
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7174
71.7%
자가 1691
 
16.9%
임대 1135
 
11.3%

Length

2024-04-19T16:01:24.161872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T16:01:24.265988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7174
71.7%
자가 1691
 
16.9%
임대 1135
 
11.3%

보증액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct8
Distinct (%)0.7%
Missing8869
Missing (%)88.7%
Infinite0
Infinite (%)0.0%
Mean175951.37
Minimum0
Maximum1 × 108
Zeros1118
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T16:01:24.354198image/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 deviation3190969.8
Coefficient of variation (CV)18.135521
Kurtosis856.52996
Mean175951.37
Median Absolute Deviation (MAD)0
Skewness28.045026
Sum1.99001 × 108
Variance1.0182288 × 1013
MonotonicityNot monotonic
2024-04-19T16:01:24.459815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1118
 
11.2%
5000000 4
 
< 0.1%
10000000 3
 
< 0.1%
500 2
 
< 0.1%
100000000 1
 
< 0.1%
4000000 1
 
< 0.1%
30000000 1
 
< 0.1%
15000000 1
 
< 0.1%
(Missing) 8869
88.7%
ValueCountFrequency (%)
0 1118
11.2%
500 2
 
< 0.1%
4000000 1
 
< 0.1%
5000000 4
 
< 0.1%
10000000 3
 
< 0.1%
15000000 1
 
< 0.1%
30000000 1
 
< 0.1%
100000000 1
 
< 0.1%
ValueCountFrequency (%)
100000000 1
 
< 0.1%
30000000 1
 
< 0.1%
15000000 1
 
< 0.1%
10000000 3
 
< 0.1%
5000000 4
 
< 0.1%
4000000 1
 
< 0.1%
500 2
 
< 0.1%
0 1118
11.2%

월세액
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)0.9%
Missing8870
Missing (%)88.7%
Infinite0
Infinite (%)0.0%
Mean4858.4558
Minimum0
Maximum1200000
Zeros1118
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T16:01:24.560020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1200000
Range1200000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation58558.313
Coefficient of variation (CV)12.052865
Kurtosis253.43489
Mean4858.4558
Median Absolute Deviation (MAD)0
Skewness14.934059
Sum5490055
Variance3.429076 × 109
MonotonicityNot monotonic
2024-04-19T16:01:24.666086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 1118
 
11.2%
400000 4
 
< 0.1%
340000 1
 
< 0.1%
350000 1
 
< 0.1%
700000 1
 
< 0.1%
1200000 1
 
< 0.1%
25 1
 
< 0.1%
1000000 1
 
< 0.1%
30 1
 
< 0.1%
300000 1
 
< 0.1%
(Missing) 8870
88.7%
ValueCountFrequency (%)
0 1118
11.2%
25 1
 
< 0.1%
30 1
 
< 0.1%
300000 1
 
< 0.1%
340000 1
 
< 0.1%
350000 1
 
< 0.1%
400000 4
 
< 0.1%
700000 1
 
< 0.1%
1000000 1
 
< 0.1%
1200000 1
 
< 0.1%
ValueCountFrequency (%)
1200000 1
 
< 0.1%
1000000 1
 
< 0.1%
700000 1
 
< 0.1%
400000 4
 
< 0.1%
350000 1
 
< 0.1%
340000 1
 
< 0.1%
300000 1
 
< 0.1%
30 1
 
< 0.1%
25 1
 
< 0.1%
0 1118
11.2%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9999 
True
 
1
ValueCountFrequency (%)
False 9999
> 99.9%
True 1
 
< 0.1%
2024-04-19T16:01:24.762842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct276
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.593172
Minimum0
Maximum94.89
Zeros9621
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T16:01:24.921204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum94.89
Range94.89
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.3119018
Coefficient of variation (CV)7.2692267
Kurtosis149.0198
Mean0.593172
Median Absolute Deviation (MAD)0
Skewness10.900797
Sum5931.72
Variance18.592497
MonotonicityNot monotonic
2024-04-19T16:01:25.058293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9621
96.2%
3.0 8
 
0.1%
20.0 8
 
0.1%
3.3 8
 
0.1%
2.0 7
 
0.1%
6.0 7
 
0.1%
10.0 6
 
0.1%
4.0 6
 
0.1%
9.0 5
 
0.1%
5.0 5
 
0.1%
Other values (266) 319
 
3.2%
ValueCountFrequency (%)
0.0 9621
96.2%
0.23 1
 
< 0.1%
0.42 1
 
< 0.1%
0.8 1
 
< 0.1%
0.99 1
 
< 0.1%
1.0 2
 
< 0.1%
1.1 2
 
< 0.1%
1.18 1
 
< 0.1%
1.2 1
 
< 0.1%
1.3 2
 
< 0.1%
ValueCountFrequency (%)
94.89 1
< 0.1%
85.8 1
< 0.1%
84.0 1
< 0.1%
82.08 1
< 0.1%
78.0 1
< 0.1%
70.0 1
< 0.1%
65.0 1
< 0.1%
63.2 1
< 0.1%
62.8 1
< 0.1%
61.32 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
10761077즉석판매제조가공업07_22_19_P34100003410000-107-2004-0003720040614<NA>3폐업2폐업20041105<NA><NA><NA>053 42080721.44700092대구광역시 중구 동성로2가 0174 지하1층<NA><NA>전라남도특산단지연합회20040901000000I2018-08-31 23:59:59.0즉석판매제조가공업344066.98467264414.299416즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0020자가<NA><NA>N0.0<NA><NA><NA>
27252726즉석판매제조가공업07_22_19_P34100003410000-107-2017-0026920171121<NA>3폐업2폐업20171130<NA><NA><NA><NA><NA>700811대구광역시 중구 대봉동 0214 대구백화점프라자 지하1층대구광역시 중구 명덕로 333 (대봉동, 대구백화점프라자 지하1층)41953한설식품20171201041529I2018-08-31 23:59:59.0즉석판매제조가공업345032.238221262949.871621즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
1121411215즉석판매제조가공업07_22_19_P34500003450000-107-2001-0011920010705<NA>3폐업2폐업20201229<NA><NA><NA>053 3572317<NA>702071대구광역시 북구 고성동1가 56대구광역시 북구 칠성남로14길 20 (고성동1가)41597동원방앗간20201229112232U2020-12-31 02:40:00.0즉석판매제조가공업343331.23786265378.759244즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
1908619087즉석판매제조가공업07_22_19_P34700003470000-107-2021-0012220210329<NA>3폐업2폐업20210414<NA><NA><NA><NA><NA>704928대구광역시 달서구 이곡동 1254대구광역시 달서구 이곡동로 24, 이마트 성서점 (이곡동)42620판크로스20210415041510U2021-04-17 02:40:00.0즉석판매제조가공업336343.945543262554.743801즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
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1185711858즉석판매제조가공업07_22_19_P34500003450000-107-2017-0010920170510<NA>3폐업2폐업20170607<NA><NA><NA><NA><NA>702853대구광역시 북구 칠성동2가 378-23대구광역시 북구 중앙대로 543 (칠성동2가)41586거열유통20170608041525I2018-08-31 23:59:59.0즉석판매제조가공업344041.322876265698.238072즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
1486114862즉석판매제조가공업07_22_19_P34600003460000-107-2010-0012020101014<NA>3폐업2폐업20101025<NA><NA><NA><NA><NA>706803대구광역시 수성구 만촌동 1356-5 이마트(B1)<NA><NA>(주)남도장터20101014093543I2018-08-31 23:59:59.0즉석판매제조가공업347757.985568264692.74418즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
1568015681즉석판매제조가공업07_22_19_P34600003460000-107-2000-0032520000229<NA>3폐업2폐업20181129<NA><NA><NA>053767 272816.1706801대구광역시 수성구 두산동 202-5대구광역시 수성구 무학로 125-27 (두산동)42175형진방아간20181129150650U2018-12-01 02:40:00.0즉석판매제조가공업346535.703575260261.144644즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
3738즉석판매제조가공업07_22_19_P34100003410000-107-2018-0029520181207<NA>3폐업2폐업20181218<NA><NA><NA><NA><NA>700070대구광역시 중구 덕산동 0053-0003 동아쇼핑센터 지하 1층대구광역시 중구 달구벌대로 2085, 동아쇼핑센터 지하 1층 (덕산동)41936조은유통20181219041509U2018-12-21 02:40:00.0즉석판매제조가공업343705.561002264056.630949즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
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1936619367즉석판매제조가공업07_22_19_P34700003470000-107-2017-0008220170328<NA>3폐업2폐업20170426<NA><NA><NA>053 5508171<NA>704923대구광역시 달서구 용산동 230-11대구광역시 달서구 달구벌대로 1467 (용산동)42637천년촌20170427041527I2018-08-31 23:59:59.0즉석판매제조가공업337916.079938262111.061698즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
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2307823079즉석판매제조가공업07_22_19_P34700003470000-107-2019-0041920191120<NA>3폐업2폐업20191127<NA><NA><NA>031 527 9217<NA>704923대구광역시 달서구 용산동 230-11대구광역시 달서구 달구벌대로 1467 (용산동)42637더원씨푸드 주식회사20191128041508U2019-11-30 02:40:00.0즉석판매제조가공업337916.079938262111.061698즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
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56575658즉석판매제조가공업07_22_19_P34200003420000-107-2018-0016520180530<NA>3폐업2폐업20180620<NA><NA><NA>055 338 0213<NA>701868대구광역시 동구 신서동 520-1 이마트 반야월점대구광역시 동구 안심로 389-2, 이마트 반야월점 (신서동)41084(주)미소담은20180621041525I2018-08-31 23:59:59.0즉석판매제조가공업355939.362329264777.243598즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
81838184즉석판매제조가공업07_22_19_P34300003430000-107-2019-0003920190625<NA>3폐업2폐업20190702<NA><NA><NA>053 3256005<NA>703802대구광역시 서구 내당동 65-6대구광역시 서구 달구벌대로 1821 (내당동)41863주식회사 제이수산20190703041509U2019-07-05 02:40:00.0즉석판매제조가공업341135.203416263386.395151즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
1996819969즉석판매제조가공업07_22_19_P34700003470000-107-2002-0003120030417<NA>3폐업2폐업20050224<NA><NA><NA>053 565581064.26704911대구광역시 달서구 두류동 634-6 (지상1층)<NA><NA>선화건강원20031129000000I2018-08-31 23:59:59.0즉석판매제조가공업340112.172005262515.80244즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>1000임대<NA><NA>N0.0<NA><NA><NA>
14751476즉석판매제조가공업07_22_19_P34100003410000-107-1990-0001319900320<NA>3폐업2폐업20101124<NA><NA><NA>053 2527297<NA>700807대구광역시 중구 남산동 2638-0008<NA><NA>삼거리떡집20100914105328I2018-08-31 23:59:59.0즉석판매제조가공업342568.602104263585.228998즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>