Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells131013
Missing cells (%)27.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 MiB
Average record size in memory411.0 B

Variable types

Numeric10
Categorical16
Text7
DateTime4
Unsupported9
Boolean1

Dataset

Description23년06월_6270000_대구광역시_07_22_03_P_건강기능식품일반판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098694&dataSetDetailId=DDI_0000098734&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
급수시설구분명 is highly imbalanced (70.2%)Imbalance
본사직원수 is highly imbalanced (63.9%)Imbalance
공장생산직직원수 is highly imbalanced (54.4%)Imbalance
보증액 is highly imbalanced (65.5%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 2781 (27.8%) 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 5620 (56.2%) missing valuesMissing
소재지면적 has 4366 (43.7%) missing valuesMissing
소재지우편번호 has 122 (1.2%) missing valuesMissing
도로명전체주소 has 1806 (18.1%) missing valuesMissing
도로명우편번호 has 1868 (18.7%) missing valuesMissing
업태구분명 has 10000 (100.0%) missing valuesMissing
좌표정보(X) has 232 (2.3%) missing valuesMissing
좌표정보(Y) has 232 (2.3%) missing valuesMissing
영업장주변구분명 has 10000 (100.0%) missing valuesMissing
등급구분명 has 10000 (100.0%) missing valuesMissing
공장사무직직원수 has 3201 (32.0%) missing valuesMissing
공장판매직직원수 has 3199 (32.0%) missing valuesMissing
월세액 has 7599 (76.0%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 9977 (99.8%) missing valuesMissing
공장사무직직원수 is highly skewed (γ1 = 20.96494888)Skewed
공장판매직직원수 is highly skewed (γ1 = 22.05254294)Skewed
월세액 is highly skewed (γ1 = 23.85588702)Skewed
시설총규모 is highly skewed (γ1 = 43.59487477)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
업태구분명 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
소재지면적 has 518 (5.2%) zerosZeros
공장사무직직원수 has 6582 (65.8%) zerosZeros
공장판매직직원수 has 6152 (61.5%) zerosZeros
월세액 has 2395 (23.9%) zerosZeros
시설총규모 has 9857 (98.6%) zerosZeros

Reproduction

Analysis started2024-04-18 07:43:33.640970
Analysis finished2024-04-18 07:43:35.880905
Duration2.24 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%
Mean8660.4412
Minimum2
Maximum17410
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T16:43:35.941750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile859.8
Q14376.5
median8604
Q313031.25
95-th percentile16491.2
Maximum17410
Range17408
Interquartile range (IQR)8654.75

Descriptive statistics

Standard deviation5013.9668
Coefficient of variation (CV)0.57895051
Kurtosis-1.196258
Mean8660.4412
Median Absolute Deviation (MAD)4324
Skewness0.013093169
Sum86604412
Variance25139863
MonotonicityNot monotonic
2024-04-18T16:43:36.079621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9629 1
 
< 0.1%
15979 1
 
< 0.1%
3256 1
 
< 0.1%
3775 1
 
< 0.1%
9833 1
 
< 0.1%
3500 1
 
< 0.1%
16220 1
 
< 0.1%
17123 1
 
< 0.1%
14212 1
 
< 0.1%
14861 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
3 1
< 0.1%
5 1
< 0.1%
10 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
21 1
< 0.1%
22 1
< 0.1%
23 1
< 0.1%
24 1
< 0.1%
ValueCountFrequency (%)
17410 1
< 0.1%
17408 1
< 0.1%
17407 1
< 0.1%
17404 1
< 0.1%
17398 1
< 0.1%
17397 1
< 0.1%
17396 1
< 0.1%
17395 1
< 0.1%
17393 1
< 0.1%
17390 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

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

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품일반판매업 10000
100.0%

Length

2024-04-18T16:43:36.208353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:43:36.294593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품일반판매업 10000
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
07_22_03_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_03_P
2nd row07_22_03_P
3rd row07_22_03_P
4th row07_22_03_P
5th row07_22_03_P

Common Values

ValueCountFrequency (%)
07_22_03_P 10000
100.0%

Length

2024-04-18T16:43:36.381212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:43:36.464667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_03_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3448256
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T16:43:36.548486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation21292.341
Coefficient of variation (CV)0.0061748146
Kurtosis-1.0909819
Mean3448256
Median Absolute Deviation (MAD)20000
Skewness-0.39629243
Sum3.448256 × 1010
Variance4.533638 × 108
MonotonicityNot monotonic
2024-04-18T16:43:36.653877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2133
21.3%
3460000 1824
18.2%
3450000 1717
17.2%
3420000 1395
14.0%
3410000 840
 
8.4%
3440000 743
 
7.4%
3430000 718
 
7.2%
3480000 630
 
6.3%
ValueCountFrequency (%)
3410000 840
 
8.4%
3420000 1395
14.0%
3430000 718
 
7.2%
3440000 743
 
7.4%
3450000 1717
17.2%
3460000 1824
18.2%
3470000 2133
21.3%
3480000 630
 
6.3%
ValueCountFrequency (%)
3480000 630
 
6.3%
3470000 2133
21.3%
3460000 1824
18.2%
3450000 1717
17.2%
3440000 743
 
7.4%
3430000 718
 
7.2%
3420000 1395
14.0%
3410000 840
 
8.4%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T16:43:36.850456image/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 row3460000-134-2010-00199
2nd row3440000-134-2013-00008
3rd row3440000-134-2010-00085
4th row3470000-134-2012-00075
5th row3470000-134-2008-00106
ValueCountFrequency (%)
3460000-134-2010-00199 1
 
< 0.1%
3480000-134-2021-00043 1
 
< 0.1%
3410000-134-2021-00061 1
 
< 0.1%
3450000-134-2013-00072 1
 
< 0.1%
3420000-134-2017-00078 1
 
< 0.1%
3420000-134-2023-00076 1
 
< 0.1%
3460000-134-2004-00055 1
 
< 0.1%
3420000-134-2022-00202 1
 
< 0.1%
3470000-134-2019-00017 1
 
< 0.1%
3470000-134-2021-00164 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-18T16:43:37.142473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 83452
37.9%
- 30000
 
13.6%
4 24648
 
11.2%
3 24061
 
10.9%
1 21316
 
9.7%
2 17934
 
8.2%
5 4440
 
2.0%
7 4409
 
2.0%
6 4200
 
1.9%
8 2861
 
1.3%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 83452
43.9%
4 24648
 
13.0%
3 24061
 
12.7%
1 21316
 
11.2%
2 17934
 
9.4%
5 4440
 
2.3%
7 4409
 
2.3%
6 4200
 
2.2%
8 2861
 
1.5%
9 2679
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 83452
37.9%
- 30000
 
13.6%
4 24648
 
11.2%
3 24061
 
10.9%
1 21316
 
9.7%
2 17934
 
8.2%
5 4440
 
2.0%
7 4409
 
2.0%
6 4200
 
1.9%
8 2861
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 83452
37.9%
- 30000
 
13.6%
4 24648
 
11.2%
3 24061
 
10.9%
1 21316
 
9.7%
2 17934
 
8.2%
5 4440
 
2.0%
7 4409
 
2.0%
6 4200
 
1.9%
8 2861
 
1.3%
Distinct3623
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2004-02-04 00:00:00
Maximum2023-06-28 00:00:00
2024-04-18T16:43:37.282410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T16:43:37.407040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

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
7219 
1
2781 

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 7219
72.2%
1 2781
 
27.8%

Length

2024-04-18T16:43:37.523168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:43:37.601782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 7219
72.2%
1 2781
 
27.8%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7219 
영업/정상
2781 

Length

Max length5
Median length2
Mean length2.8343
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 7219
72.2%
영업/정상 2781
 
27.8%

Length

2024-04-18T16:43:37.697039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:43:37.786644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7219
72.2%
영업/정상 2781
 
27.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
7219 
1
2781 

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 7219
72.2%
1 2781
 
27.8%

Length

2024-04-18T16:43:37.895535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:43:37.981627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 7219
72.2%
1 2781
 
27.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7219 
영업
2781 

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 7219
72.2%
영업 2781
 
27.8%

Length

2024-04-18T16:43:38.071103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:43:38.384649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7219
72.2%
영업 2781
 
27.8%

폐업일자
Date

MISSING 

Distinct3039
Distinct (%)42.1%
Missing2781
Missing (%)27.8%
Memory size156.2 KiB
Minimum2004-04-19 00:00:00
Maximum2023-06-28 00:00:00
2024-04-18T16:43:38.469476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T16:43:38.605209image/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 

Distinct4062
Distinct (%)92.7%
Missing5620
Missing (%)56.2%
Memory size156.2 KiB
2024-04-18T16:43:38.942238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.17968
Min length7

Characters and Unicode

Total characters48967
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

Unique3803 ?
Unique (%)86.8%

Sample

1st row053 5717790
2nd row053 654 2910
3rd row053 5821731
4th row053 255 3530
5th row053 941 0019
ValueCountFrequency (%)
053 3530
34.4%
070 139
 
1.4%
02 41
 
0.4%
741 31
 
0.3%
621 27
 
0.3%
323 26
 
0.3%
324 25
 
0.2%
622 23
 
0.2%
793 23
 
0.2%
651 22
 
0.2%
Other values (4077) 6376
62.1%
2024-04-18T16:43:39.380556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7923
16.2%
0 6981
14.3%
3 6839
14.0%
5941
12.1%
2 3763
7.7%
7 3585
7.3%
6 3414
7.0%
4 2762
 
5.6%
1 2704
 
5.5%
8 2685
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43026
87.9%
Space Separator 5941
 
12.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7923
18.4%
0 6981
16.2%
3 6839
15.9%
2 3763
8.7%
7 3585
8.3%
6 3414
7.9%
4 2762
 
6.4%
1 2704
 
6.3%
8 2685
 
6.2%
9 2370
 
5.5%
Space Separator
ValueCountFrequency (%)
5941
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 48967
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7923
16.2%
0 6981
14.3%
3 6839
14.0%
5941
12.1%
2 3763
7.7%
7 3585
7.3%
6 3414
7.0%
4 2762
 
5.6%
1 2704
 
5.5%
8 2685
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7923
16.2%
0 6981
14.3%
3 6839
14.0%
5941
12.1%
2 3763
7.7%
7 3585
7.3%
6 3414
7.0%
4 2762
 
5.6%
1 2704
 
5.5%
8 2685
 
5.5%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct1661
Distinct (%)29.5%
Missing4366
Missing (%)43.7%
Infinite0
Infinite (%)0.0%
Mean34.216427
Minimum0
Maximum1523.67
Zeros518
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T16:43:39.512809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median6.6
Q333
95-th percentile158.4
Maximum1523.67
Range1523.67
Interquartile range (IQR)30

Descriptive statistics

Standard deviation74.126944
Coefficient of variation (CV)2.1664139
Kurtosis67.111345
Mean34.216427
Median Absolute Deviation (MAD)6.6
Skewness6.1636007
Sum192775.35
Variance5494.8038
MonotonicityNot monotonic
2024-04-18T16:43:39.630953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 713
 
7.1%
0.0 518
 
5.2%
3.0 365
 
3.6%
1.0 305
 
3.0%
2.0 199
 
2.0%
6.0 117
 
1.2%
6.6 88
 
0.9%
4.0 86
 
0.9%
33.0 71
 
0.7%
10.0 60
 
0.6%
Other values (1651) 3112
31.1%
(Missing) 4366
43.7%
ValueCountFrequency (%)
0.0 518
5.2%
0.1 3
 
< 0.1%
0.13 1
 
< 0.1%
0.15 2
 
< 0.1%
0.18 1
 
< 0.1%
0.22 1
 
< 0.1%
0.24 2
 
< 0.1%
0.25 2
 
< 0.1%
0.27 2
 
< 0.1%
0.3 6
 
0.1%
ValueCountFrequency (%)
1523.67 1
< 0.1%
1149.6 1
< 0.1%
1043.85 1
< 0.1%
991.31 1
< 0.1%
932.58 1
< 0.1%
802.21 1
< 0.1%
699.53 1
< 0.1%
698.55 1
< 0.1%
600.0 1
< 0.1%
593.4 1
< 0.1%

소재지우편번호
Text

MISSING 

Distinct922
Distinct (%)9.3%
Missing122
Missing (%)1.2%
Memory size156.2 KiB
2024-04-18T16:43:39.902915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters69146
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

Unique200 ?
Unique (%)2.0%

Sample

1st row706-817
2nd row705-810
3rd row705-813
4th row704-830
5th row704-838
ValueCountFrequency (%)
706-170 151
 
1.5%
702-886 97
 
1.0%
704-080 86
 
0.9%
701-847 84
 
0.9%
704-060 83
 
0.8%
704-834 77
 
0.8%
702-040 75
 
0.8%
700-412 68
 
0.7%
706-220 66
 
0.7%
711-812 65
 
0.7%
Other values (912) 9026
91.4%
2024-04-18T16:43:40.293059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14458
20.9%
7 11893
17.2%
- 9878
14.3%
8 7843
11.3%
1 5280
 
7.6%
2 4613
 
6.7%
4 4429
 
6.4%
3 3397
 
4.9%
6 3278
 
4.7%
5 2269
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 59268
85.7%
Dash Punctuation 9878
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14458
24.4%
7 11893
20.1%
8 7843
13.2%
1 5280
 
8.9%
2 4613
 
7.8%
4 4429
 
7.5%
3 3397
 
5.7%
6 3278
 
5.5%
5 2269
 
3.8%
9 1808
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 9878
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 69146
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14458
20.9%
7 11893
17.2%
- 9878
14.3%
8 7843
11.3%
1 5280
 
7.6%
2 4613
 
6.7%
4 4429
 
6.4%
3 3397
 
4.9%
6 3278
 
4.7%
5 2269
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 69146
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14458
20.9%
7 11893
17.2%
- 9878
14.3%
8 7843
11.3%
1 5280
 
7.6%
2 4613
 
6.7%
4 4429
 
6.4%
3 3397
 
4.9%
6 3278
 
4.7%
5 2269
 
3.3%
Distinct4837
Distinct (%)48.4%
Missing4
Missing (%)< 0.1%
Memory size156.2 KiB
2024-04-18T16:43:40.600078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length48
Mean length27.127951
Min length16

Characters and Unicode

Total characters271171
Distinct characters485
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

Unique3551 ?
Unique (%)35.5%

Sample

1st row대구광역시 수성구 범어동 **-* 범어역 우방유셀 상가동 *-***호
2nd row대구광역시 남구 대명동 ***-*번지
3rd row대구광역시 남구 대명동 ****-**번지
4th row대구광역시 달서구 월성동 ****번지 태왕아너스베스트 ***동 ***호
5th row대구광역시 달서구 대곡동 *-*번지 대곡우방타운 ***동 ****호
ValueCountFrequency (%)
대구광역시 9989
19.6%
번지 6662
 
13.1%
3555
 
7.0%
달서구 2128
 
4.2%
2062
 
4.0%
수성구 1824
 
3.6%
북구 1716
 
3.4%
동구 1394
 
2.7%
1364
 
2.7%
1170
 
2.3%
Other values (2501) 19172
37.6%
2024-04-18T16:43:41.064906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 60676
22.4%
49421
18.2%
19851
 
7.3%
12879
 
4.7%
11458
 
4.2%
10351
 
3.8%
10114
 
3.7%
10046
 
3.7%
8599
 
3.2%
- 7446
 
2.7%
Other values (475) 70330
25.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 151191
55.8%
Other Punctuation 60877
22.4%
Space Separator 49421
 
18.2%
Dash Punctuation 7446
 
2.7%
Open Punctuation 862
 
0.3%
Close Punctuation 862
 
0.3%
Uppercase Letter 443
 
0.2%
Lowercase Letter 55
 
< 0.1%
Math Symbol 13
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
19851
 
13.1%
12879
 
8.5%
11458
 
7.6%
10351
 
6.8%
10114
 
6.7%
10046
 
6.6%
8599
 
5.7%
6665
 
4.4%
3836
 
2.5%
3333
 
2.2%
Other values (425) 54059
35.8%
Uppercase Letter
ValueCountFrequency (%)
A 128
28.9%
B 56
12.6%
P 33
 
7.4%
T 31
 
7.0%
S 26
 
5.9%
M 21
 
4.7%
C 21
 
4.7%
D 20
 
4.5%
K 18
 
4.1%
H 15
 
3.4%
Other values (14) 74
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 40
72.7%
s 3
 
5.5%
c 2
 
3.6%
w 1
 
1.8%
d 1
 
1.8%
h 1
 
1.8%
a 1
 
1.8%
u 1
 
1.8%
l 1
 
1.8%
p 1
 
1.8%
Other values (3) 3
 
5.5%
Other Punctuation
ValueCountFrequency (%)
* 60676
99.7%
, 137
 
0.2%
. 41
 
0.1%
/ 17
 
< 0.1%
@ 4
 
< 0.1%
· 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 11
84.6%
+ 2
 
15.4%
Space Separator
ValueCountFrequency (%)
49421
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7446
100.0%
Open Punctuation
ValueCountFrequency (%)
( 862
100.0%
Close Punctuation
ValueCountFrequency (%)
) 862
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 151192
55.8%
Common 119481
44.1%
Latin 498
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
19851
 
13.1%
12879
 
8.5%
11458
 
7.6%
10351
 
6.8%
10114
 
6.7%
10046
 
6.6%
8599
 
5.7%
6665
 
4.4%
3836
 
2.5%
3333
 
2.2%
Other values (426) 54060
35.8%
Latin
ValueCountFrequency (%)
A 128
25.7%
B 56
11.2%
e 40
 
8.0%
P 33
 
6.6%
T 31
 
6.2%
S 26
 
5.2%
M 21
 
4.2%
C 21
 
4.2%
D 20
 
4.0%
K 18
 
3.6%
Other values (27) 104
20.9%
Common
ValueCountFrequency (%)
* 60676
50.8%
49421
41.4%
- 7446
 
6.2%
( 862
 
0.7%
) 862
 
0.7%
, 137
 
0.1%
. 41
 
< 0.1%
/ 17
 
< 0.1%
~ 11
 
< 0.1%
@ 4
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 151191
55.8%
ASCII 119977
44.2%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 60676
50.6%
49421
41.2%
- 7446
 
6.2%
( 862
 
0.7%
) 862
 
0.7%
, 137
 
0.1%
A 128
 
0.1%
B 56
 
< 0.1%
. 41
 
< 0.1%
e 40
 
< 0.1%
Other values (38) 308
 
0.3%
Hangul
ValueCountFrequency (%)
19851
 
13.1%
12879
 
8.5%
11458
 
7.6%
10351
 
6.8%
10114
 
6.7%
10046
 
6.6%
8599
 
5.7%
6665
 
4.4%
3836
 
2.5%
3333
 
2.2%
Other values (425) 54059
35.8%
None
ValueCountFrequency (%)
· 2
66.7%
1
33.3%

도로명전체주소
Text

MISSING 

Distinct5978
Distinct (%)73.0%
Missing1806
Missing (%)18.1%
Memory size156.2 KiB
2024-04-18T16:43:41.339603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length54
Mean length33.508909
Min length19

Characters and Unicode

Total characters274572
Distinct characters510
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

Unique4787 ?
Unique (%)58.4%

Sample

1st row대구광역시 수성구 동대구로 ***, 상가동 *-***호 (범어동,범어역 우방유셀)
2nd row대구광역시 남구 대명로 ***, *층 (대명동)
3rd row대구광역시 남구 대명서로 ***, 지하*층 (대명동)
4th row대구광역시 달서구 월배로**길 ***, ***동 지상*층 ***호 (월성동, 태왕아너스베스트)
5th row대구광역시 달서구 비슬로***길 **, ***동 ****호 (대곡동,대곡우방타운)
ValueCountFrequency (%)
8250
 
15.4%
대구광역시 8188
 
15.3%
3261
 
6.1%
3089
 
5.8%
1943
 
3.6%
달서구 1742
 
3.2%
수성구 1500
 
2.8%
북구 1478
 
2.8%
동구 1177
 
2.2%
중구 675
 
1.3%
Other values (3363) 22376
41.7%
2024-04-18T16:43:41.784771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 49583
18.1%
45490
16.6%
17362
 
6.3%
12677
 
4.6%
11084
 
4.0%
, 8743
 
3.2%
8578
 
3.1%
8378
 
3.1%
( 8321
 
3.0%
) 8320
 
3.0%
Other values (500) 96036
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 152065
55.4%
Other Punctuation 58355
 
21.3%
Space Separator 45490
 
16.6%
Open Punctuation 8321
 
3.0%
Close Punctuation 8320
 
3.0%
Dash Punctuation 1484
 
0.5%
Uppercase Letter 443
 
0.2%
Lowercase Letter 70
 
< 0.1%
Math Symbol 23
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
17362
 
11.4%
12677
 
8.3%
11084
 
7.3%
8578
 
5.6%
8378
 
5.5%
8234
 
5.4%
8180
 
5.4%
4248
 
2.8%
3695
 
2.4%
3610
 
2.4%
Other values (446) 66019
43.4%
Uppercase Letter
ValueCountFrequency (%)
A 113
25.5%
B 71
16.0%
C 28
 
6.3%
S 27
 
6.1%
T 22
 
5.0%
D 22
 
5.0%
P 21
 
4.7%
M 20
 
4.5%
K 18
 
4.1%
E 16
 
3.6%
Other values (14) 85
19.2%
Lowercase Letter
ValueCountFrequency (%)
e 49
70.0%
s 4
 
5.7%
p 3
 
4.3%
l 2
 
2.9%
a 2
 
2.9%
u 1
 
1.4%
m 1
 
1.4%
o 1
 
1.4%
w 1
 
1.4%
d 1
 
1.4%
Other values (5) 5
 
7.1%
Other Punctuation
ValueCountFrequency (%)
* 49583
85.0%
, 8743
 
15.0%
. 16
 
< 0.1%
/ 7
 
< 0.1%
· 3
 
< 0.1%
@ 1
 
< 0.1%
& 1
 
< 0.1%
: 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 21
91.3%
+ 2
 
8.7%
Space Separator
ValueCountFrequency (%)
45490
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8321
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8320
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1484
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 152066
55.4%
Common 121993
44.4%
Latin 513
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
17362
 
11.4%
12677
 
8.3%
11084
 
7.3%
8578
 
5.6%
8378
 
5.5%
8234
 
5.4%
8180
 
5.4%
4248
 
2.8%
3695
 
2.4%
3610
 
2.4%
Other values (447) 66020
43.4%
Latin
ValueCountFrequency (%)
A 113
22.0%
B 71
13.8%
e 49
9.6%
C 28
 
5.5%
S 27
 
5.3%
T 22
 
4.3%
D 22
 
4.3%
P 21
 
4.1%
M 20
 
3.9%
K 18
 
3.5%
Other values (29) 122
23.8%
Common
ValueCountFrequency (%)
* 49583
40.6%
45490
37.3%
, 8743
 
7.2%
( 8321
 
6.8%
) 8320
 
6.8%
- 1484
 
1.2%
~ 21
 
< 0.1%
. 16
 
< 0.1%
/ 7
 
< 0.1%
· 3
 
< 0.1%
Other values (4) 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 152065
55.4%
ASCII 122503
44.6%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 49583
40.5%
45490
37.1%
, 8743
 
7.1%
( 8321
 
6.8%
) 8320
 
6.8%
- 1484
 
1.2%
A 113
 
0.1%
B 71
 
0.1%
e 49
 
< 0.1%
C 28
 
< 0.1%
Other values (42) 301
 
0.2%
Hangul
ValueCountFrequency (%)
17362
 
11.4%
12677
 
8.3%
11084
 
7.3%
8578
 
5.6%
8378
 
5.5%
8234
 
5.4%
8180
 
5.4%
4248
 
2.8%
3695
 
2.4%
3610
 
2.4%
Other values (446) 66019
43.4%
None
ValueCountFrequency (%)
· 3
75.0%
1
 
25.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1326
Distinct (%)16.3%
Missing1868
Missing (%)18.7%
Infinite0
Infinite (%)0.0%
Mean42040.247
Minimum21565
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T16:43:41.920022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21565
5-th percentile41108
Q141519
median42043.5
Q342625.25
95-th percentile42920
Maximum43024
Range21459
Interquartile range (IQR)1106.25

Descriptive statistics

Standard deviation634.89623
Coefficient of variation (CV)0.015102105
Kurtosis132.30529
Mean42040.247
Median Absolute Deviation (MAD)567.5
Skewness-4.2896334
Sum3.4187128 × 108
Variance403093.23
MonotonicityNot monotonic
2024-04-18T16:43:42.043469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41940 50
 
0.5%
41423 41
 
0.4%
41936 40
 
0.4%
41229 33
 
0.3%
42760 32
 
0.3%
42914 32
 
0.3%
42274 31
 
0.3%
41438 30
 
0.3%
41519 29
 
0.3%
42612 28
 
0.3%
Other values (1316) 7786
77.9%
(Missing) 1868
 
18.7%
ValueCountFrequency (%)
21565 1
 
< 0.1%
36716 1
 
< 0.1%
38631 1
 
< 0.1%
38655 1
 
< 0.1%
39129 1
 
< 0.1%
39894 1
 
< 0.1%
41000 1
 
< 0.1%
41001 3
 
< 0.1%
41002 14
0.1%
41003 6
0.1%
ValueCountFrequency (%)
43024 3
 
< 0.1%
43020 1
 
< 0.1%
43019 14
0.1%
43018 10
0.1%
43017 10
0.1%
43016 18
0.2%
43015 4
 
< 0.1%
43014 6
 
0.1%
43013 4
 
< 0.1%
43010 5
 
0.1%
Distinct8609
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T16:43:42.284883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length28
Mean length6.8505
Min length1

Characters and Unicode

Total characters68505
Distinct characters931
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

Unique7983 ?
Unique (%)79.8%

Sample

1st row수경건식
2nd row애터미
3rd row해피월드
4th row콩바라기
5th row큐티샵
ValueCountFrequency (%)
허브다이어트 116
 
1.0%
주식회사 93
 
0.8%
한국암웨이 66
 
0.6%
애터미 54
 
0.5%
아모레퍼시픽 48
 
0.4%
세븐일레븐 42
 
0.4%
아모레 39
 
0.3%
지에스(gs)25 36
 
0.3%
아리따움 34
 
0.3%
제이유네트워크 30
 
0.3%
Other values (8886) 10777
95.1%
2024-04-18T16:43:42.642166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2680
 
3.9%
1689
 
2.5%
1473
 
2.2%
) 1434
 
2.1%
( 1418
 
2.1%
1337
 
2.0%
1304
 
1.9%
1163
 
1.7%
1038
 
1.5%
995
 
1.5%
Other values (921) 53974
78.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59992
87.6%
Uppercase Letter 1759
 
2.6%
Close Punctuation 1435
 
2.1%
Open Punctuation 1419
 
2.1%
Space Separator 1337
 
2.0%
Lowercase Letter 1201
 
1.8%
Decimal Number 1200
 
1.8%
Other Punctuation 121
 
0.2%
Dash Punctuation 37
 
0.1%
Other Symbol 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2680
 
4.5%
1689
 
2.8%
1473
 
2.5%
1304
 
2.2%
1163
 
1.9%
1038
 
1.7%
995
 
1.7%
955
 
1.6%
900
 
1.5%
860
 
1.4%
Other values (840) 46935
78.2%
Lowercase Letter
ValueCountFrequency (%)
e 145
 
12.1%
o 110
 
9.2%
a 105
 
8.7%
n 83
 
6.9%
i 82
 
6.8%
l 73
 
6.1%
r 70
 
5.8%
t 70
 
5.8%
h 50
 
4.2%
s 48
 
4.0%
Other values (16) 365
30.4%
Uppercase Letter
ValueCountFrequency (%)
S 276
15.7%
G 212
12.1%
O 121
 
6.9%
I 117
 
6.7%
C 116
 
6.6%
B 95
 
5.4%
N 92
 
5.2%
H 83
 
4.7%
A 79
 
4.5%
E 76
 
4.3%
Other values (15) 492
28.0%
Decimal Number
ValueCountFrequency (%)
4 487
40.6%
2 244
20.3%
5 226
18.8%
1 79
 
6.6%
3 52
 
4.3%
0 36
 
3.0%
8 23
 
1.9%
6 21
 
1.8%
9 21
 
1.8%
7 11
 
0.9%
Other Punctuation
ValueCountFrequency (%)
& 46
38.0%
. 38
31.4%
, 22
18.2%
! 4
 
3.3%
' 3
 
2.5%
: 2
 
1.7%
· 2
 
1.7%
/ 2
 
1.7%
# 1
 
0.8%
1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 1434
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1418
99.9%
[ 1
 
0.1%
Other Symbol
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
1337
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59992
87.6%
Common 5551
 
8.1%
Latin 2961
 
4.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2680
 
4.5%
1689
 
2.8%
1473
 
2.5%
1304
 
2.2%
1163
 
1.9%
1038
 
1.7%
995
 
1.7%
955
 
1.6%
900
 
1.5%
860
 
1.4%
Other values (840) 46935
78.2%
Latin
ValueCountFrequency (%)
S 276
 
9.3%
G 212
 
7.2%
e 145
 
4.9%
O 121
 
4.1%
I 117
 
4.0%
C 116
 
3.9%
o 110
 
3.7%
a 105
 
3.5%
B 95
 
3.2%
N 92
 
3.1%
Other values (42) 1572
53.1%
Common
ValueCountFrequency (%)
) 1434
25.8%
( 1418
25.5%
1337
24.1%
4 487
 
8.8%
2 244
 
4.4%
5 226
 
4.1%
1 79
 
1.4%
3 52
 
0.9%
& 46
 
0.8%
. 38
 
0.7%
Other values (18) 190
 
3.4%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59991
87.6%
ASCII 8507
 
12.4%
None 4
 
< 0.1%
CJK 1
 
< 0.1%
Number Forms 1
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2680
 
4.5%
1689
 
2.8%
1473
 
2.5%
1304
 
2.2%
1163
 
1.9%
1038
 
1.7%
995
 
1.7%
955
 
1.6%
900
 
1.5%
860
 
1.4%
Other values (839) 46934
78.2%
ASCII
ValueCountFrequency (%)
) 1434
16.9%
( 1418
16.7%
1337
15.7%
4 487
 
5.7%
S 276
 
3.2%
2 244
 
2.9%
5 226
 
2.7%
G 212
 
2.5%
e 145
 
1.7%
O 121
 
1.4%
Other values (66) 2607
30.6%
None
ValueCountFrequency (%)
· 2
50.0%
1
25.0%
1
25.0%
CJK
ValueCountFrequency (%)
1
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
Misc Symbols
ValueCountFrequency (%)
1
100.0%
Distinct9346
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2004-03-24 00:00:00
Maximum2023-06-28 17:00:14
2024-04-18T16:43:42.771839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T16:43:42.924027image/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
6622 
U
3378 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 6622
66.2%
U 3378
33.8%

Length

2024-04-18T16:43:43.076865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:43:43.164305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 6622
66.2%
u 3378
33.8%
Distinct1683
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-06-30 02:40:00
2024-04-18T16:43:43.263866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T16:43:43.389500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct6547
Distinct (%)67.0%
Missing232
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean343116.06
Minimum174169.07
Maximum358228.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T16:43:43.535149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174169.07
5-th percentile334580.25
Q1339605.52
median343152.31
Q3346541
95-th percentile353908.54
Maximum358228.21
Range184059.14
Interquartile range (IQR)6935.4795

Descriptive statistics

Standard deviation5665.6885
Coefficient of variation (CV)0.016512455
Kurtosis80.641558
Mean343116.06
Median Absolute Deviation (MAD)3479.6956
Skewness-2.6058234
Sum3.3515577 × 109
Variance32100026
MonotonicityNot monotonic
2024-04-18T16:43:43.677608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344686.25933796 39
 
0.4%
347037.241970286 27
 
0.3%
347950.194974987 26
 
0.3%
343588.735554802 26
 
0.3%
339047.793378934 25
 
0.2%
344052.576927614 24
 
0.2%
345032.238220744 18
 
0.2%
343820.407679695 17
 
0.2%
340548.969969695 17
 
0.2%
346916.265263484 16
 
0.2%
Other values (6537) 9533
95.3%
(Missing) 232
 
2.3%
ValueCountFrequency (%)
174169.067539966 1
< 0.1%
316608.470834875 1
< 0.1%
325937.566452452 1
< 0.1%
326030.831594574 1
< 0.1%
326179.668663659 1
< 0.1%
326284.269092371 1
< 0.1%
327201.00504069 1
< 0.1%
327220.130902183 2
< 0.1%
327251.925895668 2
< 0.1%
327539.027391008 1
< 0.1%
ValueCountFrequency (%)
358228.205268963 1
< 0.1%
358213.056494159 1
< 0.1%
358076.660234355 1
< 0.1%
358060.647418873 2
< 0.1%
358053.700822786 1
< 0.1%
357949.96546313 1
< 0.1%
357934.277019803 1
< 0.1%
357933.237728742 1
< 0.1%
357916.122671764 2
< 0.1%
357835.663302828 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct6547
Distinct (%)67.0%
Missing232
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean263340.57
Minimum238126.93
Maximum438974.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T16:43:43.811503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238126.93
5-th percentile257440.26
Q1261149.87
median263314.25
Q3265407.4
95-th percentile271677.74
Maximum438974.35
Range200847.42
Interquartile range (IQR)4257.5329

Descriptive statistics

Standard deviation5023.2634
Coefficient of variation (CV)0.01907516
Kurtosis162.03813
Mean263340.57
Median Absolute Deviation (MAD)2122.8791
Skewness4.0596602
Sum2.5723106 × 109
Variance25233175
MonotonicityNot monotonic
2024-04-18T16:43:43.939277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263958.880864104 39
 
0.4%
265407.404336831 27
 
0.3%
265687.625739554 26
 
0.3%
264119.010750105 26
 
0.3%
258741.902180368 25
 
0.2%
265131.653371228 24
 
0.2%
262949.871621315 18
 
0.2%
264018.876070282 17
 
0.2%
272470.830194512 17
 
0.2%
263443.713905949 16
 
0.2%
Other values (6537) 9533
95.3%
(Missing) 232
 
2.3%
ValueCountFrequency (%)
238126.933813543 1
 
< 0.1%
238381.914620374 2
< 0.1%
239311.580852563 1
 
< 0.1%
240182.187265765 1
 
< 0.1%
240204.928640372 1
 
< 0.1%
240248.646376007 1
 
< 0.1%
240292.022215743 1
 
< 0.1%
240358.722944009 4
< 0.1%
240473.571874223 2
< 0.1%
240481.502376469 1
 
< 0.1%
ValueCountFrequency (%)
438974.350322758 1
 
< 0.1%
341169.264390695 1
 
< 0.1%
305203.108096506 1
 
< 0.1%
278120.26002498 1
 
< 0.1%
278042.649250442 1
 
< 0.1%
277923.610317233 1
 
< 0.1%
277799.708684077 3
< 0.1%
277798.822543844 1
 
< 0.1%
277784.134758359 1
 
< 0.1%
277759.213876823 1
 
< 0.1%

위생업태명
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업장판매
4603 
전자상거래(통신판매업)
2533 
방문판매
1220 
통신판매
962 
다단계판매
585 
Other values (5)
 
97

Length

Max length14
Median length5
Mean length6.595
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업장판매
2nd row영업장판매
3rd row영업장판매
4th row통신판매
5th row전자상거래(통신판매업)

Common Values

ValueCountFrequency (%)
영업장판매 4603
46.0%
전자상거래(통신판매업) 2533
25.3%
방문판매 1220
 
12.2%
통신판매 962
 
9.6%
다단계판매 585
 
5.9%
기타(복합 등) 32
 
0.3%
기타 건강기능식품일반판매업 28
 
0.3%
도매업(유통) 22
 
0.2%
전화권유판매 12
 
0.1%
<NA> 3
 
< 0.1%

Length

2024-04-18T16:43:44.068735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:43:44.182903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업장판매 4603
45.8%
전자상거래(통신판매업 2533
25.2%
방문판매 1220
 
12.1%
통신판매 962
 
9.6%
다단계판매 585
 
5.8%
기타(복합 32
 
0.3%
32
 
0.3%
기타 28
 
0.3%
건강기능식품일반판매업 28
 
0.3%
도매업(유통 22
 
0.2%
Other values (2) 15
 
0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7623 
0
2377 

Length

Max length4
Median length4
Mean length3.2869
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> 7623
76.2%
0 2377
 
23.8%

Length

2024-04-18T16:43:44.342975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:43:44.439253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7623
76.2%
0 2377
 
23.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7623 
0
2377 

Length

Max length4
Median length4
Mean length3.2869
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> 7623
76.2%
0 2377
 
23.8%

Length

2024-04-18T16:43:44.544157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:43:44.642752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7623
76.2%
0 2377
 
23.8%

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 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8584 
상수도전용
1409 
간이상수도
 
5
전용상수도(특정시설의 자가용 수도)
 
2

Length

Max length19
Median length4
Mean length4.1444
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8584
85.8%
상수도전용 1409
 
14.1%
간이상수도 5
 
0.1%
전용상수도(특정시설의 자가용 수도) 2
 
< 0.1%

Length

2024-04-18T16:43:44.739194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:43:44.833902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8584
85.8%
상수도전용 1409
 
14.1%
간이상수도 5
 
< 0.1%
전용상수도(특정시설의 2
 
< 0.1%
자가용 2
 
< 0.1%
수도 2
 
< 0.1%

총직원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7635 
0
2365 

Length

Max length4
Median length4
Mean length3.2905
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> 7635
76.3%
0 2365
 
23.6%

Length

2024-04-18T16:43:44.971012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:43:45.072466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7635
76.3%
0 2365
 
23.6%

본사직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6774 
<NA>
3199 
1
 
20
2
 
5
6
 
1

Length

Max length4
Median length1
Mean length1.9597
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 6774
67.7%
<NA> 3199
32.0%
1 20
 
0.2%
2 5
 
0.1%
6 1
 
< 0.1%
3 1
 
< 0.1%

Length

2024-04-18T16:43:45.213529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:43:45.319221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6774
67.7%
na 3199
32.0%
1 20
 
0.2%
2 5
 
< 0.1%
6 1
 
< 0.1%
3 1
 
< 0.1%

공장사무직직원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct10
Distinct (%)0.1%
Missing3201
Missing (%)32.0%
Infinite0
Infinite (%)0.0%
Mean0.049860274
Minimum0
Maximum17
Zeros6582
Zeros (%)65.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T16:43:45.414187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.40952497
Coefficient of variation (CV)8.2134522
Kurtosis679.37811
Mean0.049860274
Median Absolute Deviation (MAD)0
Skewness20.964949
Sum339
Variance0.1677107
MonotonicityNot monotonic
2024-04-18T16:43:45.513401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 6582
65.8%
1 171
 
1.7%
2 20
 
0.2%
4 9
 
0.1%
3 9
 
0.1%
5 3
 
< 0.1%
6 2
 
< 0.1%
17 1
 
< 0.1%
7 1
 
< 0.1%
14 1
 
< 0.1%
(Missing) 3201
32.0%
ValueCountFrequency (%)
0 6582
65.8%
1 171
 
1.7%
2 20
 
0.2%
3 9
 
0.1%
4 9
 
0.1%
5 3
 
< 0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
14 1
 
< 0.1%
17 1
 
< 0.1%
ValueCountFrequency (%)
17 1
 
< 0.1%
14 1
 
< 0.1%
7 1
 
< 0.1%
6 2
 
< 0.1%
5 3
 
< 0.1%
4 9
 
0.1%
3 9
 
0.1%
2 20
 
0.2%
1 171
 
1.7%
0 6582
65.8%

공장판매직직원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct31
Distinct (%)0.5%
Missing3199
Missing (%)32.0%
Infinite0
Infinite (%)0.0%
Mean0.32701073
Minimum0
Maximum102
Zeros6152
Zeros (%)61.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T16:43:45.670145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum102
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.5134349
Coefficient of variation (CV)10.744097
Kurtosis554.20779
Mean0.32701073
Median Absolute Deviation (MAD)0
Skewness22.052543
Sum2224
Variance12.344225
MonotonicityNot monotonic
2024-04-18T16:43:45.783722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 6152
61.5%
1 498
 
5.0%
2 59
 
0.6%
3 25
 
0.2%
4 11
 
0.1%
10 9
 
0.1%
5 7
 
0.1%
7 6
 
0.1%
30 3
 
< 0.1%
20 3
 
< 0.1%
Other values (21) 28
 
0.3%
(Missing) 3199
32.0%
ValueCountFrequency (%)
0 6152
61.5%
1 498
 
5.0%
2 59
 
0.6%
3 25
 
0.2%
4 11
 
0.1%
5 7
 
0.1%
6 1
 
< 0.1%
7 6
 
0.1%
9 1
 
< 0.1%
10 9
 
0.1%
ValueCountFrequency (%)
102 1
< 0.1%
100 2
< 0.1%
94 2
< 0.1%
91 1
< 0.1%
60 1
< 0.1%
58 1
< 0.1%
54 1
< 0.1%
50 1
< 0.1%
45 1
< 0.1%
40 1
< 0.1%

공장생산직직원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
6794 
<NA>
3200 
1
 
5
6
 
1

Length

Max length4
Median length1
Mean length1.96
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 6794
67.9%
<NA> 3200
32.0%
1 5
 
0.1%
6 1
 
< 0.1%

Length

2024-04-18T16:43:45.903324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:43:46.002152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6794
67.9%
na 3200
32.0%
1 5
 
< 0.1%
6 1
 
< 0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8300 
자가
894 
임대
 
806

Length

Max length4
Median length4
Mean length3.66
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> 8300
83.0%
자가 894
 
8.9%
임대 806
 
8.1%

Length

2024-04-18T16:43:46.507651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:43:46.611191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8300
83.0%
자가 894
 
8.9%
임대 806
 
8.1%

보증액
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7599 
0
2395 
10000000
 
3
8000000
 
2
1000000
 
1

Length

Max length8
Median length4
Mean length3.2836
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7599
76.0%
0 2395
 
23.9%
10000000 3
 
< 0.1%
8000000 2
 
< 0.1%
1000000 1
 
< 0.1%

Length

2024-04-18T16:43:46.728006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:43:46.833643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7599
76.0%
0 2395
 
23.9%
10000000 3
 
< 0.1%
8000000 2
 
< 0.1%
1000000 1
 
< 0.1%

월세액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)0.2%
Missing7599
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean1478.5506
Minimum0
Maximum900000
Zeros2395
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T16:43:46.919371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum900000
Range900000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32386.025
Coefficient of variation (CV)21.903901
Kurtosis591.22393
Mean1478.5506
Median Absolute Deviation (MAD)0
Skewness23.855887
Sum3550000
Variance1.0488546 × 109
MonotonicityNot monotonic
2024-04-18T16:43:47.017977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 2395
 
23.9%
800000 2
 
< 0.1%
550000 1
 
< 0.1%
900000 1
 
< 0.1%
300000 1
 
< 0.1%
200000 1
 
< 0.1%
(Missing) 7599
76.0%
ValueCountFrequency (%)
0 2395
23.9%
200000 1
 
< 0.1%
300000 1
 
< 0.1%
550000 1
 
< 0.1%
800000 2
 
< 0.1%
900000 1
 
< 0.1%
ValueCountFrequency (%)
900000 1
 
< 0.1%
800000 2
 
< 0.1%
550000 1
 
< 0.1%
300000 1
 
< 0.1%
200000 1
 
< 0.1%
0 2395
23.9%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Memory size97.7 KiB
False
9997 
(Missing)
 
3
ValueCountFrequency (%)
False 9997
> 99.9%
(Missing) 3
 
< 0.1%
2024-04-18T16:43:47.118010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

SKEWED  ZEROS 

Distinct107
Distinct (%)1.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.66645894
Minimum0
Maximum879.51
Zeros9857
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T16:43:47.224961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum879.51
Range879.51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.705332
Coefficient of variation (CV)19.063937
Kurtosis2557.9313
Mean0.66645894
Median Absolute Deviation (MAD)0
Skewness43.594875
Sum6662.59
Variance161.42545
MonotonicityNot monotonic
2024-04-18T16:43:47.360907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9857
98.6%
3.3 7
 
0.1%
3.0 7
 
0.1%
10.0 6
 
0.1%
6.6 4
 
< 0.1%
30.0 3
 
< 0.1%
8.64 3
 
< 0.1%
1.0 3
 
< 0.1%
65.76 2
 
< 0.1%
4.24 2
 
< 0.1%
Other values (97) 103
 
1.0%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
0.0 9857
98.6%
0.9 2
 
< 0.1%
0.96 1
 
< 0.1%
1.0 3
 
< 0.1%
1.5 1
 
< 0.1%
2.0 2
 
< 0.1%
2.18 1
 
< 0.1%
2.4 1
 
< 0.1%
2.9 1
 
< 0.1%
3.0 7
 
0.1%
ValueCountFrequency (%)
879.51 1
< 0.1%
407.45 1
< 0.1%
392.2 1
< 0.1%
312.0 1
< 0.1%
243.96 1
< 0.1%
232.4 1
< 0.1%
160.0 1
< 0.1%
155.5 1
< 0.1%
148.17 1
< 0.1%
117.7 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
Text

MISSING 

Distinct22
Distinct (%)95.7%
Missing9977
Missing (%)99.8%
Memory size156.2 KiB
2024-04-18T16:43:47.525949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length18
Mean length16.652174
Min length4

Characters and Unicode

Total characters383
Distinct characters53
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)91.3%

Sample

1st rowhttp://www.몰백화점.com/
2nd rowwww.herbnshop.com
3rd rowhttps://smartstore.naver.com/beautysmile
4th rowwww.muse44.com
5th rowwww.44small.com
ValueCountFrequency (%)
오픈마켓 4
 
12.5%
옥션 3
 
9.4%
3
 
9.4%
운영 1
 
3.1%
오픈마켓(옥션 1
 
3.1%
www.mikokong.com 1
 
3.1%
오픈마켓:g마켓 1
 
3.1%
www.44nallary.com 1
 
3.1%
www.oyeoldudal.co.kr 1
 
3.1%
www.healthocean-korea.com 1
 
3.1%
Other values (15) 15
46.9%
2024-04-18T16:43:47.845004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 42
 
11.0%
. 35
 
9.1%
o 29
 
7.6%
m 21
 
5.5%
c 19
 
5.0%
e 17
 
4.4%
l 15
 
3.9%
r 15
 
3.9%
a 14
 
3.7%
t 14
 
3.7%
Other values (43) 162
42.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 257
67.1%
Other Punctuation 50
 
13.1%
Other Letter 50
 
13.1%
Decimal Number 12
 
3.1%
Space Separator 9
 
2.3%
Dash Punctuation 2
 
0.5%
Uppercase Letter 1
 
0.3%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 42
16.3%
o 29
11.3%
m 21
 
8.2%
c 19
 
7.4%
e 17
 
6.6%
l 15
 
5.8%
r 15
 
5.8%
a 14
 
5.4%
t 14
 
5.4%
s 11
 
4.3%
Other values (13) 60
23.3%
Other Letter
ValueCountFrequency (%)
8
16.0%
8
16.0%
6
12.0%
6
12.0%
4
8.0%
4
8.0%
3
 
6.0%
1
 
2.0%
1
 
2.0%
1
 
2.0%
Other values (8) 8
16.0%
Other Punctuation
ValueCountFrequency (%)
. 35
70.0%
/ 8
 
16.0%
: 4
 
8.0%
, 3
 
6.0%
Decimal Number
ValueCountFrequency (%)
4 7
58.3%
1 3
25.0%
0 2
 
16.7%
Space Separator
ValueCountFrequency (%)
9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 258
67.4%
Common 75
 
19.6%
Hangul 50
 
13.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 42
16.3%
o 29
11.2%
m 21
 
8.1%
c 19
 
7.4%
e 17
 
6.6%
l 15
 
5.8%
r 15
 
5.8%
a 14
 
5.4%
t 14
 
5.4%
s 11
 
4.3%
Other values (14) 61
23.6%
Hangul
ValueCountFrequency (%)
8
16.0%
8
16.0%
6
12.0%
6
12.0%
4
8.0%
4
8.0%
3
 
6.0%
1
 
2.0%
1
 
2.0%
1
 
2.0%
Other values (8) 8
16.0%
Common
ValueCountFrequency (%)
. 35
46.7%
9
 
12.0%
/ 8
 
10.7%
4 7
 
9.3%
: 4
 
5.3%
, 3
 
4.0%
1 3
 
4.0%
- 2
 
2.7%
0 2
 
2.7%
( 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 333
86.9%
Hangul 50
 
13.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 42
 
12.6%
. 35
 
10.5%
o 29
 
8.7%
m 21
 
6.3%
c 19
 
5.7%
e 17
 
5.1%
l 15
 
4.5%
r 15
 
4.5%
a 14
 
4.2%
t 14
 
4.2%
Other values (25) 112
33.6%
Hangul
ValueCountFrequency (%)
8
16.0%
8
16.0%
6
12.0%
6
12.0%
4
8.0%
4
8.0%
3
 
6.0%
1
 
2.0%
1
 
2.0%
1
 
2.0%
Other values (8) 8
16.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
96289629건강기능식품일반판매업07_22_03_P34600003460000-134-2010-001992010-09-03<NA>3폐업2폐업2020-12-15<NA><NA><NA>053 57177906.0706-817대구광역시 수성구 범어동 **-* 범어역 우방유셀 상가동 *-***호대구광역시 수성구 동대구로 ***, 상가동 *-***호 (범어동,범어역 우방유셀)42013수경건식2020-12-15 11:33:32U2020-12-17 02:40:00<NA>346775.263241263615.2448영업장판매<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
55705571건강기능식품일반판매업07_22_03_P34400003440000-134-2013-000082013-03-05<NA>3폐업2폐업2013-06-05<NA><NA><NA><NA>24.87705-810대구광역시 남구 대명동 ***-*번지대구광역시 남구 대명로 ***, *층 (대명동)42474애터미2013-03-13 11:02:48I2018-08-31 23:59:59<NA>342283.660829261057.293986영업장판매<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
52475248건강기능식품일반판매업07_22_03_P34400003440000-134-2010-000852010-10-04<NA>3폐업2폐업2014-08-04<NA><NA><NA><NA>3.3705-813대구광역시 남구 대명동 ****-**번지대구광역시 남구 대명서로 ***, 지하*층 (대명동)42498해피월드2014-03-07 10:46:47I2018-08-31 23:59:59<NA>340712.172373260434.431456영업장판매<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
1400614007건강기능식품일반판매업07_22_03_P34700003470000-134-2012-000752012-06-05<NA>3폐업2폐업2013-12-30<NA><NA><NA><NA>0.0704-830대구광역시 달서구 월성동 ****번지 태왕아너스베스트 ***동 ***호대구광역시 달서구 월배로**길 ***, ***동 지상*층 ***호 (월성동, 태왕아너스베스트)42778콩바라기2013-03-27 17:38:38I2018-08-31 23:59:59<NA>337875.245006258880.142581통신판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
1263612637건강기능식품일반판매업07_22_03_P34700003470000-134-2008-001062008-12-10<NA>3폐업2폐업2017-12-19<NA><NA><NA>053 654 29100.0704-838대구광역시 달서구 대곡동 *-*번지 대곡우방타운 ***동 ****호대구광역시 달서구 비슬로***길 **, ***동 ****호 (대곡동,대곡우방타운)42769큐티샵2017-12-19 18:03:31I2018-08-31 23:59:59<NA>336341.105099257285.92865전자상거래(통신판매업)<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
1344213443건강기능식품일반판매업07_22_03_P34700003470000-134-2004-004472004-10-25<NA>3폐업2폐업2013-08-30<NA><NA><NA>053 58217312.0704-947대구광역시 달서구 호산동 ***번지 (지상*층)대구광역시 달서구 호산동로 *** (호산동,(지상*층))42708훼미리마트2004-10-25 00:00:00I2018-08-31 23:59:59<NA>334124.907256262283.658375영업장판매<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
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