Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells125388
Missing cells (%)26.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 MiB
Average record size in memory411.0 B

Variable types

Numeric10
Categorical17
Text7
Unsupported9
DateTime3
Boolean1

Dataset

Description24년03월_6270000_대구광역시_07_22_19_P_즉석판매제조가공업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000106619&dataSetDetailId=DDI_0000106660&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업태구분명 is highly imbalanced (99.5%)Imbalance
위생업태명 is highly imbalanced (99.5%)Imbalance
급수시설구분명 is highly imbalanced (68.0%)Imbalance
본사직원수 is highly imbalanced (56.2%)Imbalance
공장사무직직원수 is highly imbalanced (58.1%)Imbalance
공장판매직직원수 is highly imbalanced (55.0%)Imbalance
다중이용업소여부 is highly imbalanced (99.9%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 1576 (15.8%) 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 5967 (59.7%) missing valuesMissing
소재지면적 has 4263 (42.6%) missing valuesMissing
소재지우편번호 has 226 (2.3%) missing valuesMissing
도로명전체주소 has 2314 (23.1%) missing valuesMissing
도로명우편번호 has 2366 (23.7%) missing valuesMissing
좌표정보(X) has 198 (2.0%) missing valuesMissing
좌표정보(Y) has 198 (2.0%) missing valuesMissing
영업장주변구분명 has 10000 (100.0%) missing valuesMissing
등급구분명 has 10000 (100.0%) missing valuesMissing
공장생산직직원수 has 3758 (37.6%) missing valuesMissing
보증액 has 7251 (72.5%) missing valuesMissing
월세액 has 7251 (72.5%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 10000 (100.0%) missing valuesMissing
보증액 is highly skewed (γ1 = 40.60933106)Skewed
월세액 is highly skewed (γ1 = 29.05535176)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 546 (5.5%) zerosZeros
공장생산직직원수 has 5780 (57.8%) zerosZeros
보증액 has 2742 (27.4%) zerosZeros
월세액 has 2742 (27.4%) zerosZeros
시설총규모 has 9595 (96.0%) zerosZeros

Reproduction

Analysis started2024-04-29 12:30:22.371378
Analysis finished2024-04-29 12:30:24.490994
Duration2.12 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%
Mean14897.512
Minimum2
Maximum29851
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-29T21:30:24.712185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile1513.35
Q17399.25
median14890
Q322454.25
95-th percentile28357.15
Maximum29851
Range29849
Interquartile range (IQR)15055

Descriptive statistics

Standard deviation8646.9727
Coefficient of variation (CV)0.58043068
Kurtosis-1.2102846
Mean14897.512
Median Absolute Deviation (MAD)7525
Skewness0.00090372353
Sum1.4897512 × 108
Variance74770137
MonotonicityNot monotonic
2024-04-29T21:30:24.854703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17575 1
 
< 0.1%
12980 1
 
< 0.1%
12284 1
 
< 0.1%
28195 1
 
< 0.1%
27873 1
 
< 0.1%
26085 1
 
< 0.1%
3179 1
 
< 0.1%
3019 1
 
< 0.1%
14657 1
 
< 0.1%
8091 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
3 1
< 0.1%
9 1
< 0.1%
13 1
< 0.1%
19 1
< 0.1%
20 1
< 0.1%
21 1
< 0.1%
22 1
< 0.1%
24 1
< 0.1%
26 1
< 0.1%
ValueCountFrequency (%)
29851 1
< 0.1%
29850 1
< 0.1%
29847 1
< 0.1%
29846 1
< 0.1%
29844 1
< 0.1%
29843 1
< 0.1%
29842 1
< 0.1%
29835 1
< 0.1%
29829 1
< 0.1%
29828 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

2024-04-29T21:30:24.986768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:30:25.069602image/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

2024-04-29T21:30:25.157704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:30:25.236310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_19_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3460924.6
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-29T21:30:25.323059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33470000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation158115.43
Coefficient of variation (CV)0.045685893
Kurtosis106.7048
Mean3460924.6
Median Absolute Deviation (MAD)20000
Skewness10.312907
Sum3.4609246 × 1010
Variance2.500049 × 1010
MonotonicityNot monotonic
2024-04-29T21:30:25.427518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3470000 2226
22.3%
3450000 1798
18.0%
3420000 1571
15.7%
3460000 1520
15.2%
3410000 1274
12.7%
3480000 567
 
5.7%
3430000 524
 
5.2%
3440000 434
 
4.3%
5141000 86
 
0.9%
ValueCountFrequency (%)
3410000 1274
12.7%
3420000 1571
15.7%
3430000 524
 
5.2%
3440000 434
 
4.3%
3450000 1798
18.0%
3460000 1520
15.2%
3470000 2226
22.3%
3480000 567
 
5.7%
5141000 86
 
0.9%
ValueCountFrequency (%)
5141000 86
 
0.9%
3480000 567
 
5.7%
3470000 2226
22.3%
3460000 1520
15.2%
3450000 1798
18.0%
3440000 434
 
4.3%
3430000 524
 
5.2%
3420000 1571
15.7%
3410000 1274
12.7%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-29T21:30:25.612463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

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

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st row3460000-107-2019-00071
2nd row3410000-107-2011-00053
3rd row3450000-107-2019-00442
4th row3460000-107-2021-00297
5th row3410000-107-2020-00039
ValueCountFrequency (%)
3460000-107-2019-00071 1
 
< 0.1%
3410000-107-2019-00034 1
 
< 0.1%
3470000-107-1999-00021 1
 
< 0.1%
3420000-107-2020-00168 1
 
< 0.1%
3450000-107-2008-00085 1
 
< 0.1%
3480000-107-2021-00020 1
 
< 0.1%
3480000-107-2020-00016 1
 
< 0.1%
3470000-107-2020-00153 1
 
< 0.1%
3410000-107-2017-00302 1
 
< 0.1%
3450000-107-2021-00177 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-29T21:30:25.932220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 91153
41.4%
- 30000
 
13.6%
1 22033
 
10.0%
2 18552
 
8.4%
7 15037
 
6.8%
3 14312
 
6.5%
4 13164
 
6.0%
5 4276
 
1.9%
6 4123
 
1.9%
9 3951
 
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 91153
48.0%
1 22033
 
11.6%
2 18552
 
9.8%
7 15037
 
7.9%
3 14312
 
7.5%
4 13164
 
6.9%
5 4276
 
2.3%
6 4123
 
2.2%
9 3951
 
2.1%
8 3399
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 91153
41.4%
- 30000
 
13.6%
1 22033
 
10.0%
2 18552
 
8.4%
7 15037
 
6.8%
3 14312
 
6.5%
4 13164
 
6.0%
5 4276
 
1.9%
6 4123
 
1.9%
9 3951
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 91153
41.4%
- 30000
 
13.6%
1 22033
 
10.0%
2 18552
 
8.4%
7 15037
 
6.8%
3 14312
 
6.5%
4 13164
 
6.0%
5 4276
 
1.9%
6 4123
 
1.9%
9 3951
 
1.8%
Distinct4627
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-29T21:30:26.189061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters100000
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

Unique2180 ?
Unique (%)21.8%

Sample

1st row2019-03-12
2nd row2011-07-11
3rd row2019-12-04
4th row2021-10-08
5th row2020-02-07
ValueCountFrequency (%)
2000-02-29 52
 
0.5%
2000-02-28 50
 
0.5%
1996-03-28 28
 
0.3%
1996-03-20 10
 
0.1%
2021-06-28 10
 
0.1%
2019-10-14 10
 
0.1%
2021-10-12 10
 
0.1%
2021-04-12 10
 
0.1%
2021-04-06 9
 
0.1%
2021-01-05 9
 
0.1%
Other values (4617) 9802
98.0%
2024-04-29T21:30:26.551281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25288
25.3%
- 20000
20.0%
2 19434
19.4%
1 14596
14.6%
9 4010
 
4.0%
3 3341
 
3.3%
8 3101
 
3.1%
7 2963
 
3.0%
6 2663
 
2.7%
4 2319
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80000
80.0%
Dash Punctuation 20000
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25288
31.6%
2 19434
24.3%
1 14596
18.2%
9 4010
 
5.0%
3 3341
 
4.2%
8 3101
 
3.9%
7 2963
 
3.7%
6 2663
 
3.3%
4 2319
 
2.9%
5 2285
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25288
25.3%
- 20000
20.0%
2 19434
19.4%
1 14596
14.6%
9 4010
 
4.0%
3 3341
 
3.3%
8 3101
 
3.1%
7 2963
 
3.0%
6 2663
 
2.7%
4 2319
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25288
25.3%
- 20000
20.0%
2 19434
19.4%
1 14596
14.6%
9 4010
 
4.0%
3 3341
 
3.3%
8 3101
 
3.1%
7 2963
 
3.0%
6 2663
 
2.7%
4 2319
 
2.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
8424 
1
1576 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 8424
84.2%
1 1576
 
15.8%

Length

2024-04-29T21:30:26.678238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:30:26.789488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 8424
84.2%
1 1576
 
15.8%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8424 
영업/정상
1576 

Length

Max length5
Median length2
Mean length2.4728
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 8424
84.2%
영업/정상 1576
 
15.8%

Length

2024-04-29T21:30:26.897686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:30:26.988580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8424
84.2%
영업/정상 1576
 
15.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8424 
1
1576 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 8424
84.2%
1 1576
 
15.8%

Length

2024-04-29T21:30:27.077153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:30:27.160148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8424
84.2%
1 1576
 
15.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8424 
영업
1576 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 8424
84.2%
영업 1576
 
15.8%

Length

2024-04-29T21:30:27.255979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:30:27.345816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8424
84.2%
영업 1576
 
15.8%

폐업일자
Date

MISSING 

Distinct4116
Distinct (%)48.9%
Missing1576
Missing (%)15.8%
Memory size156.2 KiB
Minimum2000-03-10 00:00:00
Maximum2024-03-29 00:00:00
2024-04-29T21:30:27.532472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:30:27.677029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

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 

Distinct3233
Distinct (%)80.2%
Missing5967
Missing (%)59.7%
Memory size156.2 KiB
2024-04-29T21:30:27.984516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.873791
Min length7

Characters and Unicode

Total characters43854
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

Unique2943 ?
Unique (%)73.0%

Sample

1st row055 2242346
2nd row053 4217040
3rd row053 3521219
4th row053 2544643
5th row053 9419558
ValueCountFrequency (%)
053 2506
28.5%
031 247
 
2.8%
055 132
 
1.5%
02 118
 
1.3%
054 62
 
0.7%
070 62
 
0.7%
051 54
 
0.6%
062 51
 
0.6%
032 37
 
0.4%
858 34
 
0.4%
Other values (3391) 5494
62.5%
2024-04-29T21:30:28.390300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 6706
15.3%
0 6515
14.9%
3 5858
13.4%
4897
11.2%
2 3894
8.9%
6 3051
7.0%
7 2885
6.6%
1 2821
6.4%
4 2577
 
5.9%
8 2463
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 38957
88.8%
Space Separator 4897
 
11.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 6706
17.2%
0 6515
16.7%
3 5858
15.0%
2 3894
10.0%
6 3051
7.8%
7 2885
7.4%
1 2821
7.2%
4 2577
 
6.6%
8 2463
 
6.3%
9 2187
 
5.6%
Space Separator
ValueCountFrequency (%)
4897
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43854
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 6706
15.3%
0 6515
14.9%
3 5858
13.4%
4897
11.2%
2 3894
8.9%
6 3051
7.0%
7 2885
6.6%
1 2821
6.4%
4 2577
 
5.9%
8 2463
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43854
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 6706
15.3%
0 6515
14.9%
3 5858
13.4%
4897
11.2%
2 3894
8.9%
6 3051
7.0%
7 2885
6.6%
1 2821
6.4%
4 2577
 
5.9%
8 2463
 
5.6%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct1969
Distinct (%)34.3%
Missing4263
Missing (%)42.6%
Infinite0
Infinite (%)0.0%
Mean21.568178
Minimum0
Maximum604.2
Zeros546
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-29T21:30:28.557176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.12
median15.41
Q330
95-th percentile60.168
Maximum604.2
Range604.2
Interquartile range (IQR)24.88

Descriptive statistics

Standard deviation26.649
Coefficient of variation (CV)1.2355703
Kurtosis86.097129
Mean21.568178
Median Absolute Deviation (MAD)11.54
Skewness6.2801286
Sum123736.64
Variance710.1692
MonotonicityNot monotonic
2024-04-29T21:30:28.690122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 546
 
5.5%
3.3 194
 
1.9%
6.0 139
 
1.4%
6.6 105
 
1.1%
4.0 98
 
1.0%
3.0 85
 
0.9%
10.0 75
 
0.8%
2.0 67
 
0.7%
12.0 64
 
0.6%
15.0 58
 
0.6%
Other values (1959) 4306
43.1%
(Missing) 4263
42.6%
ValueCountFrequency (%)
0.0 546
5.5%
0.4 1
 
< 0.1%
0.63 1
 
< 0.1%
0.75 1
 
< 0.1%
0.8 1
 
< 0.1%
0.84 3
 
< 0.1%
0.85 1
 
< 0.1%
0.87 1
 
< 0.1%
0.88 1
 
< 0.1%
0.96 1
 
< 0.1%
ValueCountFrequency (%)
604.2 1
< 0.1%
486.25 1
< 0.1%
437.0 1
< 0.1%
341.4 1
< 0.1%
337.0 1
< 0.1%
312.92 1
< 0.1%
301.2 1
< 0.1%
292.0 1
< 0.1%
260.0 1
< 0.1%
250.7 1
< 0.1%

소재지우편번호
Text

MISSING 

Distinct609
Distinct (%)6.2%
Missing226
Missing (%)2.3%
Memory size156.2 KiB
2024-04-29T21:30:28.986606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters68418
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

Unique126 ?
Unique (%)1.3%

Sample

1st row706-803
2nd row700-718
3rd row702-845
4th row706-803
5th row700-718
ValueCountFrequency (%)
701-020 456
 
4.7%
704-923 331
 
3.4%
700-082 324
 
3.3%
702-886 291
 
3.0%
700-718 283
 
2.9%
704-800 269
 
2.8%
706-803 262
 
2.7%
704-722 250
 
2.6%
702-746 196
 
2.0%
704-928 170
 
1.7%
Other values (599) 6942
71.0%
2024-04-29T21:30:29.429987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15844
23.2%
7 11832
17.3%
- 9774
14.3%
8 7835
11.5%
2 5313
 
7.8%
1 4821
 
7.0%
4 3964
 
5.8%
6 3085
 
4.5%
3 2979
 
4.4%
9 1520
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58644
85.7%
Dash Punctuation 9774
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15844
27.0%
7 11832
20.2%
8 7835
13.4%
2 5313
 
9.1%
1 4821
 
8.2%
4 3964
 
6.8%
6 3085
 
5.3%
3 2979
 
5.1%
9 1520
 
2.6%
5 1451
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 9774
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 68418
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 15844
23.2%
7 11832
17.3%
- 9774
14.3%
8 7835
11.5%
2 5313
 
7.8%
1 4821
 
7.0%
4 3964
 
5.8%
6 3085
 
4.5%
3 2979
 
4.4%
9 1520
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68418
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15844
23.2%
7 11832
17.3%
- 9774
14.3%
8 7835
11.5%
2 5313
 
7.8%
1 4821
 
7.0%
4 3964
 
5.8%
6 3085
 
4.5%
3 2979
 
4.4%
9 1520
 
2.2%
Distinct5208
Distinct (%)52.2%
Missing20
Missing (%)0.2%
Memory size156.2 KiB
2024-04-29T21:30:29.793410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length46
Mean length25.431263
Min length15

Characters and Unicode

Total characters253804
Distinct characters418
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

Unique4591 ?
Unique (%)46.0%

Sample

1st row대구광역시 수성구 만촌동 1356-5 이마트만촌점 지하1층
2nd row대구광역시 중구 대봉동 0214 대백프라자 식품관
3rd row대구광역시 북구 산격동 1676 대구전시컨벤션센터
4th row대구광역시 수성구 만촌동 1356-5 이마트만촌점
5th row대구광역시 중구 대봉동 0214 대백프라자식품관
ValueCountFrequency (%)
대구광역시 9978
 
20.2%
달서구 2221
 
4.5%
북구 1784
 
3.6%
동구 1570
 
3.2%
수성구 1520
 
3.1%
중구 1274
 
2.6%
1층 651
 
1.3%
달성군 566
 
1.1%
지하1층 565
 
1.1%
상인동 556
 
1.1%
Other values (5452) 28739
58.1%
2024-04-29T21:30:30.302512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49129
19.4%
20427
 
8.0%
12846
 
5.1%
12656
 
5.0%
1 11986
 
4.7%
10292
 
4.1%
10131
 
4.0%
9984
 
3.9%
0 7703
 
3.0%
2 6692
 
2.6%
Other values (408) 101958
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146168
57.6%
Decimal Number 50302
 
19.8%
Space Separator 49129
 
19.4%
Dash Punctuation 6321
 
2.5%
Open Punctuation 510
 
0.2%
Close Punctuation 506
 
0.2%
Uppercase Letter 366
 
0.1%
Other Punctuation 257
 
0.1%
Lowercase Letter 231
 
0.1%
Math Symbol 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
20427
 
14.0%
12846
 
8.8%
12656
 
8.7%
10292
 
7.0%
10131
 
6.9%
9984
 
6.8%
3758
 
2.6%
3272
 
2.2%
2866
 
2.0%
2257
 
1.5%
Other values (362) 57679
39.5%
Uppercase Letter
ValueCountFrequency (%)
B 91
24.9%
A 75
20.5%
S 64
17.5%
K 47
12.8%
H 36
 
9.8%
G 12
 
3.3%
M 10
 
2.7%
T 7
 
1.9%
C 6
 
1.6%
P 6
 
1.6%
Other values (7) 12
 
3.3%
Decimal Number
ValueCountFrequency (%)
1 11986
23.8%
0 7703
15.3%
2 6692
13.3%
5 5765
11.5%
3 4498
 
8.9%
6 3558
 
7.1%
4 3142
 
6.2%
8 2392
 
4.8%
7 2337
 
4.6%
9 2229
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
e 38
16.5%
o 32
13.9%
p 32
13.9%
l 32
13.9%
u 32
13.9%
m 32
13.9%
s 32
13.9%
c 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 225
87.5%
. 26
 
10.1%
/ 3
 
1.2%
@ 2
 
0.8%
· 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 9
64.3%
+ 5
35.7%
Space Separator
ValueCountFrequency (%)
49129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6321
100.0%
Open Punctuation
ValueCountFrequency (%)
( 510
100.0%
Close Punctuation
ValueCountFrequency (%)
) 506
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146164
57.6%
Common 107039
42.2%
Latin 597
 
0.2%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
20427
 
14.0%
12846
 
8.8%
12656
 
8.7%
10292
 
7.0%
10131
 
6.9%
9984
 
6.8%
3758
 
2.6%
3272
 
2.2%
2866
 
2.0%
2257
 
1.5%
Other values (361) 57675
39.5%
Latin
ValueCountFrequency (%)
B 91
15.2%
A 75
12.6%
S 64
10.7%
K 47
 
7.9%
e 38
 
6.4%
H 36
 
6.0%
o 32
 
5.4%
p 32
 
5.4%
l 32
 
5.4%
u 32
 
5.4%
Other values (15) 118
19.8%
Common
ValueCountFrequency (%)
49129
45.9%
1 11986
 
11.2%
0 7703
 
7.2%
2 6692
 
6.3%
- 6321
 
5.9%
5 5765
 
5.4%
3 4498
 
4.2%
6 3558
 
3.3%
4 3142
 
2.9%
8 2392
 
2.2%
Other values (11) 5853
 
5.5%
Han
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 146164
57.6%
ASCII 107635
42.4%
CJK 4
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49129
45.6%
1 11986
 
11.1%
0 7703
 
7.2%
2 6692
 
6.2%
- 6321
 
5.9%
5 5765
 
5.4%
3 4498
 
4.2%
6 3558
 
3.3%
4 3142
 
2.9%
8 2392
 
2.2%
Other values (35) 6449
 
6.0%
Hangul
ValueCountFrequency (%)
20427
 
14.0%
12846
 
8.8%
12656
 
8.7%
10292
 
7.0%
10131
 
6.9%
9984
 
6.8%
3758
 
2.6%
3272
 
2.2%
2866
 
2.0%
2257
 
1.5%
Other values (361) 57675
39.5%
CJK
ValueCountFrequency (%)
4
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct4243
Distinct (%)55.2%
Missing2314
Missing (%)23.1%
Memory size156.2 KiB
2024-04-29T21:30:30.716691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length50
Mean length32.4879
Min length19

Characters and Unicode

Total characters249702
Distinct characters438
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3753 ?
Unique (%)48.8%

Sample

1st row대구광역시 수성구 동원로 136, 이마트만촌점 지하1층 (만촌동)
2nd row대구광역시 북구 엑스코로 10, 대구전시컨벤션센터 (산격동)
3rd row대구광역시 수성구 동원로 136, 이마트만촌점 1층 (만촌동)
4th row대구광역시 중구 명덕로 333, 대백프라자식품관 (대봉동)
5th row대구광역시 달서구 달구벌대로330길 26, 1층 (감삼동)
ValueCountFrequency (%)
대구광역시 7684
 
15.5%
1층 2484
 
5.0%
달서구 1655
 
3.3%
동구 1359
 
2.7%
북구 1287
 
2.6%
지하1층 1264
 
2.6%
수성구 1160
 
2.3%
중구 994
 
2.0%
달구벌대로 764
 
1.5%
신천동 519
 
1.0%
Other values (3746) 30378
61.3%
2024-04-29T21:30:31.235263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41880
 
16.8%
17045
 
6.8%
11838
 
4.7%
11733
 
4.7%
1 10283
 
4.1%
8011
 
3.2%
7886
 
3.2%
7692
 
3.1%
7627
 
3.1%
) 7365
 
2.9%
Other values (428) 118342
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 151409
60.6%
Space Separator 41880
 
16.8%
Decimal Number 33063
 
13.2%
Close Punctuation 7365
 
2.9%
Open Punctuation 7365
 
2.9%
Other Punctuation 7052
 
2.8%
Dash Punctuation 956
 
0.4%
Uppercase Letter 377
 
0.2%
Lowercase Letter 222
 
0.1%
Math Symbol 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
17045
 
11.3%
11838
 
7.8%
11733
 
7.7%
8011
 
5.3%
7886
 
5.2%
7692
 
5.1%
7627
 
5.0%
4604
 
3.0%
3439
 
2.3%
3187
 
2.1%
Other values (380) 68347
45.1%
Uppercase Letter
ValueCountFrequency (%)
B 86
22.8%
A 72
19.1%
S 72
19.1%
K 60
15.9%
H 37
9.8%
C 13
 
3.4%
G 9
 
2.4%
M 8
 
2.1%
D 4
 
1.1%
F 2
 
0.5%
Other values (8) 14
 
3.7%
Decimal Number
ValueCountFrequency (%)
1 10283
31.1%
2 5072
15.3%
3 3582
 
10.8%
4 2457
 
7.4%
0 2334
 
7.1%
9 2110
 
6.4%
6 2046
 
6.2%
7 1946
 
5.9%
5 1644
 
5.0%
8 1589
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 35
15.8%
l 31
14.0%
m 31
14.0%
u 31
14.0%
o 31
14.0%
p 31
14.0%
s 31
14.0%
b 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 7040
99.8%
. 5
 
0.1%
@ 2
 
< 0.1%
· 2
 
< 0.1%
/ 2
 
< 0.1%
& 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 8
61.5%
+ 5
38.5%
Space Separator
ValueCountFrequency (%)
41880
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7365
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7365
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 956
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 151409
60.6%
Common 97694
39.1%
Latin 599
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
17045
 
11.3%
11838
 
7.8%
11733
 
7.7%
8011
 
5.3%
7886
 
5.2%
7692
 
5.1%
7627
 
5.0%
4604
 
3.0%
3439
 
2.3%
3187
 
2.1%
Other values (380) 68347
45.1%
Latin
ValueCountFrequency (%)
B 86
14.4%
A 72
12.0%
S 72
12.0%
K 60
10.0%
H 37
 
6.2%
e 35
 
5.8%
l 31
 
5.2%
m 31
 
5.2%
u 31
 
5.2%
o 31
 
5.2%
Other values (16) 113
18.9%
Common
ValueCountFrequency (%)
41880
42.9%
1 10283
 
10.5%
) 7365
 
7.5%
( 7365
 
7.5%
, 7040
 
7.2%
2 5072
 
5.2%
3 3582
 
3.7%
4 2457
 
2.5%
0 2334
 
2.4%
9 2110
 
2.2%
Other values (12) 8206
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 151409
60.6%
ASCII 98291
39.4%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41880
42.6%
1 10283
 
10.5%
) 7365
 
7.5%
( 7365
 
7.5%
, 7040
 
7.2%
2 5072
 
5.2%
3 3582
 
3.6%
4 2457
 
2.5%
0 2334
 
2.4%
9 2110
 
2.1%
Other values (37) 8803
 
9.0%
Hangul
ValueCountFrequency (%)
17045
 
11.3%
11838
 
7.8%
11733
 
7.7%
8011
 
5.3%
7886
 
5.2%
7692
 
5.1%
7627
 
5.0%
4604
 
3.0%
3439
 
2.3%
3187
 
2.1%
Other values (380) 68347
45.1%
None
ValueCountFrequency (%)
· 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1051
Distinct (%)13.8%
Missing2366
Missing (%)23.7%
Infinite0
Infinite (%)0.0%
Mean42015.845
Minimum14066
Maximum59712
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-29T21:30:31.372834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14066
5-th percentile41097
Q141515
median41953
Q342637
95-th percentile42934
Maximum59712
Range45646
Interquartile range (IQR)1122

Descriptive statistics

Standard deviation711.07112
Coefficient of variation (CV)0.01692388
Kurtosis361.18163
Mean42015.845
Median Absolute Deviation (MAD)531
Skewness-5.9107014
Sum3.2074896 × 108
Variance505622.14
MonotonicityNot monotonic
2024-04-29T21:30:31.506311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41229 477
 
4.8%
41936 421
 
4.2%
41953 265
 
2.6%
42637 247
 
2.5%
42778 236
 
2.4%
42037 230
 
2.3%
42809 215
 
2.1%
41581 172
 
1.7%
41422 168
 
1.7%
41084 144
 
1.4%
Other values (1041) 5059
50.6%
(Missing) 2366
23.7%
ValueCountFrequency (%)
14066 1
 
< 0.1%
41000 3
 
< 0.1%
41001 4
 
< 0.1%
41002 9
0.1%
41003 3
 
< 0.1%
41005 10
0.1%
41007 2
 
< 0.1%
41008 2
 
< 0.1%
41009 4
 
< 0.1%
41015 1
 
< 0.1%
ValueCountFrequency (%)
59712 1
 
< 0.1%
43166 2
< 0.1%
43165 1
 
< 0.1%
43163 1
 
< 0.1%
43162 1
 
< 0.1%
43159 1
 
< 0.1%
43157 3
< 0.1%
43153 1
 
< 0.1%
43152 1
 
< 0.1%
43149 4
< 0.1%
Distinct5619
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-29T21:30:31.758272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length6.2418
Min length1

Characters and Unicode

Total characters62418
Distinct characters875
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4662 ?
Unique (%)46.6%

Sample

1st row주식회사마산푸드
2nd row선미유통
3rd row조방,앞
4th row주식회사제우스에프앤비
5th row(주)부촌푸드
ValueCountFrequency (%)
주식회사 348
 
3.1%
주)미트벨리 99
 
0.9%
주)부촌푸드 98
 
0.9%
은호유통 90
 
0.8%
주)인네이처 67
 
0.6%
주)정성 66
 
0.6%
수라원 66
 
0.6%
오에스푸드 62
 
0.6%
주)마켓인 60
 
0.5%
제이수산 55
 
0.5%
Other values (5840) 10086
90.9%
2024-04-29T21:30:32.172282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2615
 
4.2%
) 2252
 
3.6%
( 2201
 
3.5%
1442
 
2.3%
1220
 
2.0%
1099
 
1.8%
1028
 
1.6%
1016
 
1.6%
949
 
1.5%
858
 
1.4%
Other values (865) 47738
76.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55106
88.3%
Close Punctuation 2252
 
3.6%
Open Punctuation 2201
 
3.5%
Space Separator 1099
 
1.8%
Lowercase Letter 718
 
1.2%
Uppercase Letter 711
 
1.1%
Decimal Number 166
 
0.3%
Other Punctuation 125
 
0.2%
Dash Punctuation 33
 
0.1%
Letter Number 4
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2615
 
4.7%
1442
 
2.6%
1220
 
2.2%
1028
 
1.9%
1016
 
1.8%
949
 
1.7%
858
 
1.6%
813
 
1.5%
807
 
1.5%
745
 
1.4%
Other values (787) 43613
79.1%
Lowercase Letter
ValueCountFrequency (%)
e 114
15.9%
o 80
 
11.1%
a 59
 
8.2%
i 50
 
7.0%
n 46
 
6.4%
s 36
 
5.0%
t 34
 
4.7%
l 32
 
4.5%
m 27
 
3.8%
r 25
 
3.5%
Other values (15) 215
29.9%
Uppercase Letter
ValueCountFrequency (%)
O 63
 
8.9%
F 62
 
8.7%
E 61
 
8.6%
S 51
 
7.2%
N 44
 
6.2%
I 43
 
6.0%
C 43
 
6.0%
A 39
 
5.5%
T 35
 
4.9%
D 32
 
4.5%
Other values (15) 238
33.5%
Other Punctuation
ValueCountFrequency (%)
& 48
38.4%
. 28
22.4%
, 18
 
14.4%
' 13
 
10.4%
! 6
 
4.8%
: 6
 
4.8%
/ 2
 
1.6%
? 1
 
0.8%
% 1
 
0.8%
; 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 41
24.7%
2 30
18.1%
0 21
12.7%
9 20
12.0%
8 12
 
7.2%
3 11
 
6.6%
5 11
 
6.6%
6 9
 
5.4%
4 6
 
3.6%
7 5
 
3.0%
Close Punctuation
ValueCountFrequency (%)
) 2252
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2201
100.0%
Space Separator
ValueCountFrequency (%)
1099
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Letter Number
ValueCountFrequency (%)
4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55071
88.2%
Common 5879
 
9.4%
Latin 1433
 
2.3%
Han 35
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2615
 
4.7%
1442
 
2.6%
1220
 
2.2%
1028
 
1.9%
1016
 
1.8%
949
 
1.7%
858
 
1.6%
813
 
1.5%
807
 
1.5%
745
 
1.4%
Other values (778) 43578
79.1%
Latin
ValueCountFrequency (%)
e 114
 
8.0%
o 80
 
5.6%
O 63
 
4.4%
F 62
 
4.3%
E 61
 
4.3%
a 59
 
4.1%
S 51
 
3.6%
i 50
 
3.5%
n 46
 
3.2%
N 44
 
3.1%
Other values (41) 803
56.0%
Common
ValueCountFrequency (%)
) 2252
38.3%
( 2201
37.4%
1099
18.7%
& 48
 
0.8%
1 41
 
0.7%
- 33
 
0.6%
2 30
 
0.5%
. 28
 
0.5%
0 21
 
0.4%
9 20
 
0.3%
Other values (17) 106
 
1.8%
Han
ValueCountFrequency (%)
26
74.3%
2
 
5.7%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55071
88.2%
ASCII 7307
 
11.7%
CJK 34
 
0.1%
Number Forms 4
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2615
 
4.7%
1442
 
2.6%
1220
 
2.2%
1028
 
1.9%
1016
 
1.8%
949
 
1.7%
858
 
1.6%
813
 
1.5%
807
 
1.5%
745
 
1.4%
Other values (778) 43578
79.1%
ASCII
ValueCountFrequency (%)
) 2252
30.8%
( 2201
30.1%
1099
15.0%
e 114
 
1.6%
o 80
 
1.1%
O 63
 
0.9%
F 62
 
0.8%
E 61
 
0.8%
a 59
 
0.8%
S 51
 
0.7%
Other values (66) 1265
17.3%
CJK
ValueCountFrequency (%)
26
76.5%
2
 
5.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
Number Forms
ValueCountFrequency (%)
4
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct8020
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2001-08-21 00:00:00
Maximum2024-03-29 17:18:39
2024-04-29T21:30:32.336111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:30:32.805181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
5465 
U
4535 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 5465
54.6%
U 4535
45.4%

Length

2024-04-29T21:30:32.935765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:30:33.032316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 5465
54.6%
u 4535
45.4%
Distinct1762
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2024-03-31 02:40:00
2024-04-29T21:30:33.159742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:30:33.304074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
즉석판매제조가공업
9992 
기타
 
4
한식
 
2
<NA>
 
1
식육(숯불구이)
 
1

Length

Max length9
Median length9
Mean length8.9952
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 9992
99.9%
기타 4
 
< 0.1%
한식 2
 
< 0.1%
<NA> 1
 
< 0.1%
식육(숯불구이) 1
 
< 0.1%

Length

2024-04-29T21:30:33.467936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:30:33.576700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 9992
99.9%
기타 4
 
< 0.1%
한식 2
 
< 0.1%
na 1
 
< 0.1%
식육(숯불구이 1
 
< 0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct3809
Distinct (%)38.9%
Missing198
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean343171.52
Minimum196587.72
Maximum368212.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-29T21:30:33.697778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196587.72
5-th percentile335085.66
Q1339279.61
median343588.74
Q3346883
95-th percentile353663.9
Maximum368212.07
Range171624.36
Interquartile range (IQR)7603.3827

Descriptive statistics

Standard deviation5584.9532
Coefficient of variation (CV)0.016274524
Kurtosis52.140563
Mean343171.52
Median Absolute Deviation (MAD)3598.0092
Skewness-1.9691141
Sum3.3637673 × 109
Variance31191702
MonotonicityNot monotonic
2024-04-29T21:30:33.843346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
347037.241970286 462
 
4.6%
345032.238220744 364
 
3.6%
339047.793378934 326
 
3.3%
343588.735554802 305
 
3.0%
337647.188646821 263
 
2.6%
347757.985568431 252
 
2.5%
340320.722709596 251
 
2.5%
337916.079938251 246
 
2.5%
344052.576927614 172
 
1.7%
348194.499420792 171
 
1.7%
Other values (3799) 6990
69.9%
(Missing) 198
 
2.0%
ValueCountFrequency (%)
196587.715042503 1
< 0.1%
264512.344650104 1
< 0.1%
326018.881016045 1
< 0.1%
327243.505277989 1
< 0.1%
327255.702538806 1
< 0.1%
327555.474935411 1
< 0.1%
327557.239553708 1
< 0.1%
327606.504993731 1
< 0.1%
327674.330079262 1
< 0.1%
327940.79962787 1
< 0.1%
ValueCountFrequency (%)
368212.073114404 1
< 0.1%
366891.415183426 1
< 0.1%
360066.641583995 1
< 0.1%
358511.630306193 1
< 0.1%
358057.655884011 1
< 0.1%
358042.903180922 1
< 0.1%
358026.99563512 1
< 0.1%
358012.428888704 1
< 0.1%
357987.298885612 1
< 0.1%
357924.560527583 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct3809
Distinct (%)38.9%
Missing198
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean263654.74
Minimum139517.97
Maximum432322.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-29T21:30:33.998535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum139517.97
5-th percentile257917.73
Q1261276.86
median263595.62
Q3265407.4
95-th percentile272369.34
Maximum432322.23
Range292804.26
Interquartile range (IQR)4130.542

Descriptive statistics

Standard deviation6006.9535
Coefficient of variation (CV)0.022783408
Kurtosis94.574919
Mean263654.74
Median Absolute Deviation (MAD)1913.2295
Skewness2.8562763
Sum2.5843438 × 109
Variance36083491
MonotonicityNot monotonic
2024-04-29T21:30:34.131534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265407.404336831 462
 
4.6%
262949.871621315 364
 
3.6%
258741.902180368 326
 
3.3%
264119.010750105 305
 
3.0%
258512.316695219 263
 
2.6%
264692.744180043 252
 
2.5%
272735.675659876 251
 
2.5%
262111.061697986 246
 
2.5%
265131.653371228 172
 
1.7%
259144.519321173 171
 
1.7%
Other values (3799) 6990
69.9%
(Missing) 198
 
2.0%
ValueCountFrequency (%)
139517.968806039 1
< 0.1%
239131.29499381 1
< 0.1%
239193.193196123 1
< 0.1%
240238.45239864 1
< 0.1%
240281.048475686 1
< 0.1%
240330.145331269 1
< 0.1%
240416.380666423 1
< 0.1%
240627.67488372 1
< 0.1%
240649.764741954 1
< 0.1%
240715.5562993 1
< 0.1%
ValueCountFrequency (%)
432322.231939368 1
< 0.1%
312539.493429794 1
< 0.1%
309862.407721013 2
< 0.1%
309456.538003202 1
< 0.1%
309145.215631454 1
< 0.1%
307161.190904181 1
< 0.1%
307113.579947134 1
< 0.1%
307063.100407343 1
< 0.1%
306818.299965053 1
< 0.1%
305970.379930713 1
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
즉석판매제조가공업
9992 
기타
 
4
한식
 
2
<NA>
 
1
식육(숯불구이)
 
1

Length

Max length9
Median length9
Mean length8.9952
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 9992
99.9%
기타 4
 
< 0.1%
한식 2
 
< 0.1%
<NA> 1
 
< 0.1%
식육(숯불구이) 1
 
< 0.1%

Length

2024-04-29T21:30:34.264872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:30:34.368257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 9992
99.9%
기타 4
 
< 0.1%
한식 2
 
< 0.1%
na 1
 
< 0.1%
식육(숯불구이 1
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7509 
0
2491 

Length

Max length4
Median length4
Mean length3.2527
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7509
75.1%
0 2491
 
24.9%

Length

2024-04-29T21:30:34.488318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:30:34.594173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7509
75.1%
0 2491
 
24.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7509 
0
2491 

Length

Max length4
Median length4
Mean length3.2527
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7509
75.1%
0 2491
 
24.9%

Length

2024-04-29T21:30:34.692129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:30:34.804483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7509
75.1%
0 2491
 
24.9%

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 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7511 
상수도전용
2470 
간이상수도
 
12
지하수전용
 
4
전용상수도(특정시설의 자가용 수도)
 
2

Length

Max length19
Median length4
Mean length4.2529
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7511
75.1%
상수도전용 2470
 
24.7%
간이상수도 12
 
0.1%
지하수전용 4
 
< 0.1%
전용상수도(특정시설의 자가용 수도) 2
 
< 0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

Length

2024-04-29T21:30:34.909955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:30:35.017017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7511
75.1%
상수도전용 2470
 
24.7%
간이상수도 12
 
0.1%
지하수전용 4
 
< 0.1%
전용상수도(특정시설의 2
 
< 0.1%
자가용 2
 
< 0.1%
수도 2
 
< 0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

총직원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7524 
0
2476 

Length

Max length4
Median length4
Mean length3.2572
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7524
75.2%
0 2476
 
24.8%

Length

2024-04-29T21:30:35.133201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:30:35.238137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7524
75.2%
0 2476
 
24.8%

본사직원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6167 
<NA>
3758 
1
 
69
2
 
5
3
 
1

Length

Max length4
Median length1
Mean length2.1274
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 6167
61.7%
<NA> 3758
37.6%
1 69
 
0.7%
2 5
 
0.1%
3 1
 
< 0.1%

Length

2024-04-29T21:30:35.342283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:30:35.450609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6167
61.7%
na 3758
37.6%
1 69
 
0.7%
2 5
 
< 0.1%
3 1
 
< 0.1%

공장사무직직원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6227 
<NA>
3757 
1
 
14
2
 
1
10
 
1

Length

Max length4
Median length1
Mean length2.1272
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 6227
62.3%
<NA> 3757
37.6%
1 14
 
0.1%
2 1
 
< 0.1%
10 1
 
< 0.1%

Length

2024-04-29T21:30:35.565276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:30:35.663643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6227
62.3%
na 3757
37.6%
1 14
 
0.1%
2 1
 
< 0.1%
10 1
 
< 0.1%

공장판매직직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
5907 
<NA>
3757 
1
 
295
2
 
36
3
 
4

Length

Max length4
Median length1
Mean length2.1271
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 5907
59.1%
<NA> 3757
37.6%
1 295
 
2.9%
2 36
 
0.4%
3 4
 
< 0.1%
4 1
 
< 0.1%

Length

2024-04-29T21:30:35.786615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:30:35.897266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5907
59.1%
na 3757
37.6%
1 295
 
2.9%
2 36
 
0.4%
3 4
 
< 0.1%
4 1
 
< 0.1%

공장생산직직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.1%
Missing3758
Missing (%)37.6%
Infinite0
Infinite (%)0.0%
Mean0.097564883
Minimum0
Maximum10
Zeros5780
Zeros (%)57.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-29T21:30:35.998194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.40220172
Coefficient of variation (CV)4.1224025
Kurtosis89.010378
Mean0.097564883
Median Absolute Deviation (MAD)0
Skewness6.906934
Sum609
Variance0.16176622
MonotonicityNot monotonic
2024-04-29T21:30:36.129313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 5780
57.8%
1 356
 
3.6%
2 82
 
0.8%
3 16
 
0.2%
4 5
 
0.1%
6 1
 
< 0.1%
10 1
 
< 0.1%
5 1
 
< 0.1%
(Missing) 3758
37.6%
ValueCountFrequency (%)
0 5780
57.8%
1 356
 
3.6%
2 82
 
0.8%
3 16
 
0.2%
4 5
 
0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
6 1
 
< 0.1%
5 1
 
< 0.1%
4 5
 
0.1%
3 16
 
0.2%
2 82
 
0.8%
1 356
 
3.6%
0 5780
57.8%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6917 
자가
2054 
임대
1029 

Length

Max length4
Median length4
Mean length3.3834
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6917
69.2%
자가 2054
 
20.5%
임대 1029
 
10.3%

Length

2024-04-29T21:30:36.330272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:30:36.451010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6917
69.2%
자가 2054
 
20.5%
임대 1029
 
10.3%

보증액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)0.2%
Missing7251
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean72753.729
Minimum0
Maximum1 × 108
Zeros2742
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-29T21:30:36.543885image/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 deviation2118698.3
Coefficient of variation (CV)29.121508
Kurtosis1833.7253
Mean72753.729
Median Absolute Deviation (MAD)0
Skewness40.609331
Sum2 × 108
Variance4.4888826 × 1012
MonotonicityNot monotonic
2024-04-29T21:30:36.672879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 2742
 
27.4%
5000000 2
 
< 0.1%
30000000 2
 
< 0.1%
20000000 1
 
< 0.1%
10000000 1
 
< 0.1%
100000000 1
 
< 0.1%
(Missing) 7251
72.5%
ValueCountFrequency (%)
0 2742
27.4%
5000000 2
 
< 0.1%
10000000 1
 
< 0.1%
20000000 1
 
< 0.1%
30000000 2
 
< 0.1%
100000000 1
 
< 0.1%
ValueCountFrequency (%)
100000000 1
 
< 0.1%
30000000 2
 
< 0.1%
20000000 1
 
< 0.1%
10000000 1
 
< 0.1%
5000000 2
 
< 0.1%
0 2742
27.4%

월세액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7
Distinct (%)0.3%
Missing7251
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean1342.3063
Minimum0
Maximum1200000
Zeros2742
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-29T21:30:36.808414image/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 deviation30807.585
Coefficient of variation (CV)22.951234
Kurtosis973.96671
Mean1342.3063
Median Absolute Deviation (MAD)0
Skewness29.055352
Sum3690000
Variance9.4910731 × 108
MonotonicityNot monotonic
2024-04-29T21:30:36.965227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 2742
 
27.4%
450000 2
 
< 0.1%
350000 1
 
< 0.1%
200000 1
 
< 0.1%
340000 1
 
< 0.1%
700000 1
 
< 0.1%
1200000 1
 
< 0.1%
(Missing) 7251
72.5%
ValueCountFrequency (%)
0 2742
27.4%
200000 1
 
< 0.1%
340000 1
 
< 0.1%
350000 1
 
< 0.1%
450000 2
 
< 0.1%
700000 1
 
< 0.1%
1200000 1
 
< 0.1%
ValueCountFrequency (%)
1200000 1
 
< 0.1%
700000 1
 
< 0.1%
450000 2
 
< 0.1%
350000 1
 
< 0.1%
340000 1
 
< 0.1%
200000 1
 
< 0.1%
0 2742
27.4%

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%
2024-04-29T21:30:37.085379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct280
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.747559
Minimum0
Maximum264.05
Zeros9595
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-29T21:30:37.213796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum264.05
Range264.05
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.8157731
Coefficient of variation (CV)7.7796844
Kurtosis515.97255
Mean0.747559
Median Absolute Deviation (MAD)0
Skewness17.080571
Sum7475.59
Variance33.823217
MonotonicityNot monotonic
2024-04-29T21:30:37.382635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9595
96.0%
3.3 19
 
0.2%
3.0 11
 
0.1%
10.0 10
 
0.1%
20.0 7
 
0.1%
6.6 7
 
0.1%
1.0 6
 
0.1%
8.0 6
 
0.1%
5.0 6
 
0.1%
14.0 5
 
0.1%
Other values (270) 328
 
3.3%
ValueCountFrequency (%)
0.0 9595
96.0%
0.23 1
 
< 0.1%
1.0 6
 
0.1%
1.16 1
 
< 0.1%
1.3 1
 
< 0.1%
1.4 1
 
< 0.1%
1.58 1
 
< 0.1%
1.7 2
 
< 0.1%
1.73 1
 
< 0.1%
1.82 1
 
< 0.1%
ValueCountFrequency (%)
264.05 1
< 0.1%
115.61 1
< 0.1%
108.0 1
< 0.1%
100.23 1
< 0.1%
99.3 1
< 0.1%
95.28 1
< 0.1%
84.0 1
< 0.1%
78.0 1
< 0.1%
77.68 1
< 0.1%
75.8 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)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
1757417575즉석판매제조가공업07_22_19_P34600003460000-107-2019-000712019-03-12<NA>3폐업2폐업2019-03-23<NA><NA><NA>055 2242346<NA>706-803대구광역시 수성구 만촌동 1356-5 이마트만촌점 지하1층대구광역시 수성구 동원로 136, 이마트만촌점 지하1층 (만촌동)42037주식회사마산푸드2019-03-24 04:15:11U2019-03-26 02:40:00즉석판매제조가공업347757.985568264692.74418즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
22902291즉석판매제조가공업07_22_19_P34100003410000-107-2011-000532011-07-11<NA>3폐업2폐업2011-07-22<NA><NA><NA><NA>10.0700-718대구광역시 중구 대봉동 0214 대백프라자 식품관<NA><NA>선미유통2011-07-19 17:37:52I2018-08-31 23:59:59즉석판매제조가공업345032.238221262949.871621즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0010임대<NA><NA>N0.0<NA><NA><NA>
1545815459즉석판매제조가공업07_22_19_P34500003450000-107-2019-004422019-12-04<NA>3폐업2폐업2019-12-08<NA><NA><NA><NA><NA>702-845대구광역시 북구 산격동 1676 대구전시컨벤션센터대구광역시 북구 엑스코로 10, 대구전시컨벤션센터 (산격동)41515조방,앞2019-12-09 04:15:08U2019-12-11 02:40:00즉석판매제조가공업345549.11017268620.845678즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
1820918210즉석판매제조가공업07_22_19_P34600003460000-107-2021-002972021-10-08<NA>3폐업2폐업2021-10-27<NA><NA><NA><NA><NA>706-803대구광역시 수성구 만촌동 1356-5 이마트만촌점대구광역시 수성구 동원로 136, 이마트만촌점 1층 (만촌동)42037주식회사제우스에프앤비2021-10-28 04:15:08U2021-10-30 02:40:00즉석판매제조가공업347757.985568264692.74418즉석판매제조가공업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
27272728즉석판매제조가공업07_22_19_P34100003410000-107-2020-000392020-02-07<NA>3폐업2폐업2020-02-20<NA><NA><NA><NA><NA>700-718대구광역시 중구 대봉동 0214 대백프라자식품관대구광역시 중구 명덕로 333, 대백프라자식품관 (대봉동)41953(주)부촌푸드2020-02-21 04:15:09U2020-02-23 02:40:00즉석판매제조가공업345032.238221262949.871621즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
2707727078즉석판매제조가공업07_22_19_P34700003470000-107-2022-001002022-03-24<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0704-953대구광역시 달서구 감삼동 115-4대구광역시 달서구 달구벌대로330길 26, 1층 (감삼동)42644민들레건강원2022-03-24 09:21:52I2022-03-26 00:22:34즉석판매제조가공업339604.987272262438.162832즉석판매제조가공업00<NA><NA><NA>00000자가00N0.0<NA><NA><NA>
835836즉석판매제조가공업07_22_19_P34100003410000-107-1999-000091999-07-27<NA>3폐업2폐업2002-08-30<NA><NA><NA>053 42170406.0700-430대구광역시 중구 대봉동 0012-4 1통3반 ,2(지상1층)<NA><NA>영진복떡집2002-09-13 00:00:00I2018-08-31 23:59:59즉석판매제조가공업345063.522525263601.366984즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
2485524856즉석판매제조가공업07_22_19_P34700003470000-107-2016-001332016-06-01<NA>3폐업2폐업2016-06-02<NA><NA><NA><NA><NA>704-905대구광역시 달서구 감삼동 521대구광역시 달서구 와룡로 143, 3층 (감삼동)42689하니베손만두2016-06-03 04:15:25I2018-08-31 23:59:59즉석판매제조가공업338560.694883261656.240623즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
89818982즉석판매제조가공업07_22_19_P34300003430000-107-2000-000871992-05-04<NA>3폐업2폐업2012-06-26<NA><NA><NA>053 352121921.5703-823대구광역시 서구 비산동 1190-6대구광역시 서구 달서천로61안길 32 (비산동)41717성주참기름2003-06-05 00:00:00I2018-08-31 23:59:59즉석판매제조가공업341826.791728266181.421636즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
2216322164즉석판매제조가공업07_22_19_P34700003470000-107-2017-002262017-07-12<NA>3폐업2폐업2017-07-12<NA><NA><NA><NA><NA>704-905대구광역시 달서구 감삼동 521대구광역시 달서구 와룡로 143, 3층 (감삼동)42689달콩마미2017-07-13 04:15:27I2018-08-31 23:59:59즉석판매제조가공업338560.694883261656.240623즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
1520815209즉석판매제조가공업07_22_19_P34500003450000-107-1999-000441999-11-12<NA>3폐업2폐업2005-04-06<NA><NA><NA>943047216.2702-100대구광역시 북구 조야동 76-8<NA><NA>조야건강원2002-02-01 00:00:00I2018-08-31 23:59:59즉석판매제조가공업342325.07025268927.624916즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
2149521496즉석판매제조가공업07_22_19_P34700003470000-107-2018-003762018-12-07<NA>3폐업2폐업2018-12-12<NA><NA><NA>031 7926892<NA>704-928대구광역시 달서구 이곡동 1254대구광역시 달서구 이곡동로 24, 이마트성서점 (이곡동)42620진도특산영어조합법인2018-12-13 04:15:10U2018-12-15 02:40:00즉석판매제조가공업336343.945543262554.743801즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
2586225863즉석판매제조가공업07_22_19_P34700003470000-107-1999-000281999-05-21<NA>3폐업2폐업2005-11-28<NA><NA><NA>053 622064439.62704-823대구광역시 달서구 송현동 1988-10<NA><NA>일심건강원2001-11-22 00:00:00I2018-08-31 23:59:59즉석판매제조가공업340613.306657259666.331972즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
2753627537즉석판매제조가공업07_22_19_P34700003470000-107-2015-001292015-12-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA>15.28704-905대구광역시 달서구 감삼동 521대구광역시 달서구 와룡로 143, 201동 109호 (감삼동)42689홍삼달임방 개성인삼농협2016-08-26 12:19:49I2018-08-31 23:59:59즉석판매제조가공업338560.694883261656.240623즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
32863287즉석판매제조가공업07_22_19_P34100003410000-107-2018-000672018-03-13<NA>3폐업2폐업2018-03-22<NA><NA><NA><NA><NA>700-082대구광역시 중구 계산동2가 0200 현대백화점 지하 1층대구광역시 중구 달구벌대로 2077, 현대백화점 지하 1층 (계산동2가)41936(주)명진푸드시스템2018-03-23 04:15:32I2018-08-31 23:59:59즉석판매제조가공업343588.735555264119.01075즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
1895818959즉석판매제조가공업07_22_19_P34600003460000-107-2009-000632009-07-09<NA>3폐업2폐업2009-07-21<NA><NA><NA>053 765 2111<NA>706-723대구광역시 수성구 범물동 1273 동아백화점수성점(지하1층)<NA><NA>명가식품2009-07-09 15:24:36I2018-08-31 23:59:59즉석판매제조가공업348194.499421259144.519321즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
82248225즉석판매제조가공업07_22_19_P34200003420000-107-2024-000802024-03-20<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>701-020대구광역시 동구 신천동 1506 신세계동대구복합환승센터대구광역시 동구 동부로 149, 신세계동대구복합환승센터 지하1층 (신천동)41229성찬성가정2024-03-20 17:44:59I2024-03-22 00:15:24즉석판매제조가공업347037.24197265407.404337즉석판매제조가공업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
34623463즉석판매제조가공업07_22_19_P34100003410000-107-1993-000151993-10-15<NA>1영업/정상1영업<NA><NA><NA><NA>053 252505032.69700-220대구광역시 중구 수동 0035-0003대구광역시 중구 중앙대로81길 72, 1층 (수동)41934종로건강원2018-07-03 11:39:59I2018-08-31 23:59:59즉석판매제조가공업343496.327243264436.749373즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0010임대<NA><NA>N0.0<NA><NA><NA>
1330413305즉석판매제조가공업07_22_19_P34500003450000-107-2004-001082004-06-07<NA>3폐업2폐업2004-06-21<NA><NA><NA>6602001<NA>702-746대구광역시 북구 칠성동2가 302-155 롯데백화점 지하2층<NA><NA>나맟피2004-06-07 00:00:00I2018-08-31 23:59:59즉석판매제조가공업<NA><NA>즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0000자가00N0.0<NA><NA><NA>
2117421175즉석판매제조가공업07_22_19_P34600003460000-107-2021-000032021-01-04<NA>3폐업2폐업2021-01-31<NA><NA><NA>051 2567710<NA>706-803대구광역시 수성구 만촌동 1356-5 이마트만촌점대구광역시 수성구 동원로 136, 이마트만촌점 (만촌동)42037동방씨월드2021-02-01 04:15:08U2021-02-03 02:40:00즉석판매제조가공업347757.985568264692.74418즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>