Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells154893
Missing cells (%)33.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 MiB
Average record size in memory414.0 B

Variable types

Numeric14
Categorical14
Text7
Unsupported10
DateTime1
Boolean1

Dataset

Description6270000_대구광역시_07_22_03_P_건강기능식품일반판매업_5월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000089629&dataSetDetailId=DDI_0000089688&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (98.5%)Imbalance
여성종사자수 is highly imbalanced (98.5%)Imbalance
급수시설구분명 is highly imbalanced (67.3%)Imbalance
본사종업원수 is highly imbalanced (60.4%)Imbalance
공장생산직종업원수 is highly imbalanced (61.3%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 2705 (27.1%) 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 4966 (49.7%) missing valuesMissing
소재지면적 has 3828 (38.3%) missing valuesMissing
소재지우편번호 has 107 (1.1%) missing valuesMissing
도로명전체주소 has 2064 (20.6%) missing valuesMissing
도로명우편번호 has 2133 (21.3%) missing valuesMissing
업태구분명 has 10000 (100.0%) missing valuesMissing
좌표정보(X) has 187 (1.9%) missing valuesMissing
좌표정보(Y) has 187 (1.9%) missing valuesMissing
영업장주변구분명 has 10000 (100.0%) missing valuesMissing
등급구분명 has 10000 (100.0%) missing valuesMissing
총종업원수 has 10000 (100.0%) missing valuesMissing
공장사무직종업원수 has 4409 (44.1%) missing valuesMissing
공장판매직종업원수 has 4409 (44.1%) missing valuesMissing
보증액 has 9955 (99.6%) missing valuesMissing
월세액 has 9953 (99.5%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 9975 (99.8%) missing valuesMissing
소재지우편번호 is highly skewed (γ1 = -41.95755292)Skewed
공장사무직종업원수 is highly skewed (γ1 = 21.78709702)Skewed
공장판매직종업원수 is highly skewed (γ1 = 22.17301523)Skewed
시설총규모 is highly skewed (γ1 = 44.40734895)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
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공장사무직종업원수 has 5347 (53.5%) zerosZeros
공장판매직종업원수 has 4856 (48.6%) zerosZeros
시설총규모 has 9846 (98.5%) zerosZeros

Reproduction

Analysis started2024-04-18 05:36:22.912261
Analysis finished2024-04-18 05:36:25.220134
Duration2.31 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%
Mean7303.6212
Minimum1
Maximum14628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:36:25.298053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile718.95
Q13655.75
median7294.5
Q310953.25
95-th percentile13882.05
Maximum14628
Range14627
Interquartile range (IQR)7297.5

Descriptive statistics

Standard deviation4230.6267
Coefficient of variation (CV)0.57925056
Kurtosis-1.1981026
Mean7303.6212
Median Absolute Deviation (MAD)3650
Skewness9.1812279 × 10-5
Sum73036212
Variance17898202
MonotonicityNot monotonic
2024-04-18T14:36:25.459598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7259 1
 
< 0.1%
3830 1
 
< 0.1%
12938 1
 
< 0.1%
10998 1
 
< 0.1%
6606 1
 
< 0.1%
678 1
 
< 0.1%
8356 1
 
< 0.1%
9969 1
 
< 0.1%
3921 1
 
< 0.1%
10376 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
14 1
< 0.1%
15 1
< 0.1%
18 1
< 0.1%
19 1
< 0.1%
ValueCountFrequency (%)
14628 1
< 0.1%
14627 1
< 0.1%
14626 1
< 0.1%
14625 1
< 0.1%
14624 1
< 0.1%
14623 1
< 0.1%
14622 1
< 0.1%
14621 1
< 0.1%
14620 1
< 0.1%
14619 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

2024-04-18T14:36:25.590270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:36:25.678990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품일반판매업 10000
100.0%

개방서비스ID
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

2024-04-18T14:36:25.776303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:36:25.868352image/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%
Mean3448163
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:36:25.992847image/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 deviation21231.121
Coefficient of variation (CV)0.0061572267
Kurtosis-1.0834193
Mean3448163
Median Absolute Deviation (MAD)20000
Skewness-0.41435059
Sum3.448163 × 1010
Variance4.5076051 × 108
MonotonicityNot monotonic
2024-04-18T14:36:26.140644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2181
21.8%
3460000 1858
18.6%
3450000 1713
17.1%
3420000 1363
13.6%
3410000 871
 
8.7%
3440000 744
 
7.4%
3430000 710
 
7.1%
3480000 560
 
5.6%
ValueCountFrequency (%)
3410000 871
 
8.7%
3420000 1363
13.6%
3430000 710
 
7.1%
3440000 744
 
7.4%
3450000 1713
17.1%
3460000 1858
18.6%
3470000 2181
21.8%
3480000 560
 
5.6%
ValueCountFrequency (%)
3480000 560
 
5.6%
3470000 2181
21.8%
3460000 1858
18.6%
3450000 1713
17.1%
3440000 744
 
7.4%
3430000 710
 
7.1%
3420000 1363
13.6%
3410000 871
 
8.7%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T14:36:26.338822image/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 row3450000-134-2021-00073
2nd row3470000-134-2009-00125
3rd row3460000-134-2011-00192
4th row3450000-134-2021-00024
5th row3470000-134-2004-00417
ValueCountFrequency (%)
3450000-134-2021-00073 1
 
< 0.1%
3460000-134-2004-00118 1
 
< 0.1%
3460000-134-2005-00035 1
 
< 0.1%
3430000-134-2004-00035 1
 
< 0.1%
3470000-134-2019-00094 1
 
< 0.1%
3470000-134-2014-00172 1
 
< 0.1%
3450000-134-2006-00030 1
 
< 0.1%
3410000-134-2009-00047 1
 
< 0.1%
3460000-134-2009-00109 1
 
< 0.1%
3430000-134-2004-00022 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-18T14:36:26.671046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 84395
38.4%
- 30000
 
13.6%
4 24985
 
11.4%
3 23835
 
10.8%
1 21971
 
10.0%
2 15740
 
7.2%
7 4532
 
2.1%
5 4474
 
2.0%
6 4327
 
2.0%
8 2886
 
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 84395
44.4%
4 24985
 
13.2%
3 23835
 
12.5%
1 21971
 
11.6%
2 15740
 
8.3%
7 4532
 
2.4%
5 4474
 
2.4%
6 4327
 
2.3%
8 2886
 
1.5%
9 2855
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 84395
38.4%
- 30000
 
13.6%
4 24985
 
11.4%
3 23835
 
10.8%
1 21971
 
10.0%
2 15740
 
7.2%
7 4532
 
2.1%
5 4474
 
2.0%
6 4327
 
2.0%
8 2886
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 84395
38.4%
- 30000
 
13.6%
4 24985
 
11.4%
3 23835
 
10.8%
1 21971
 
10.0%
2 15740
 
7.2%
7 4532
 
2.1%
5 4474
 
2.0%
6 4327
 
2.0%
8 2886
 
1.3%

인허가일자
Real number (ℝ)

Distinct3349
Distinct (%)33.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20118430
Minimum20040214
Maximum20210531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:36:26.814418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040214
5-th percentile20040618
Q120080811
median20111124
Q320160905
95-th percentile20200922
Maximum20210531
Range170317
Interquartile range (IQR)80093.75

Descriptive statistics

Standard deviation52816.536
Coefficient of variation (CV)0.0026252812
Kurtosis-1.0963551
Mean20118430
Median Absolute Deviation (MAD)40522.5
Skewness0.080373121
Sum2.011843 × 1011
Variance2.7895865 × 109
MonotonicityNot monotonic
2024-04-18T14:36:26.968131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040618 254
 
2.5%
20040617 78
 
0.8%
20040616 38
 
0.4%
20040614 33
 
0.3%
20040621 31
 
0.3%
20040615 30
 
0.3%
20040831 29
 
0.3%
20131204 29
 
0.3%
20150423 28
 
0.3%
20041005 26
 
0.3%
Other values (3339) 9424
94.2%
ValueCountFrequency (%)
20040214 1
< 0.1%
20040224 1
< 0.1%
20040304 2
< 0.1%
20040320 1
< 0.1%
20040323 1
< 0.1%
20040326 2
< 0.1%
20040401 1
< 0.1%
20040402 1
< 0.1%
20040407 2
< 0.1%
20040408 2
< 0.1%
ValueCountFrequency (%)
20210531 1
 
< 0.1%
20210528 1
 
< 0.1%
20210527 1
 
< 0.1%
20210525 4
< 0.1%
20210524 1
 
< 0.1%
20210521 1
 
< 0.1%
20210520 5
0.1%
20210518 4
< 0.1%
20210514 2
 
< 0.1%
20210513 2
 
< 0.1%

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
7295 
1
2705 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 7295
73.0%
1 2705
 
27.1%

Length

2024-04-18T14:36:27.097639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:36:27.200500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 7295
73.0%
1 2705
 
27.1%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7295 
영업/정상
2705 

Length

Max length5
Median length2
Mean length2.8115
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 7295
73.0%
영업/정상 2705
 
27.1%

Length

2024-04-18T14:36:27.304582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:36:27.414132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7295
73.0%
영업/정상 2705
 
27.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
7295 
1
2705 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 7295
73.0%
1 2705
 
27.1%

Length

2024-04-18T14:36:27.516253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:36:27.612118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 7295
73.0%
1 2705
 
27.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7295 
영업
2705 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 7295
73.0%
영업 2705
 
27.1%

Length

2024-04-18T14:36:27.710881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:36:27.795840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7295
73.0%
영업 2705
 
27.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct2906
Distinct (%)39.8%
Missing2705
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean20144652
Minimum20040419
Maximum20210531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:36:27.897312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040419
5-th percentile20070111
Q120110910
median20151019
Q320180515
95-th percentile20201014
Maximum20210531
Range170112
Interquartile range (IQR)69604.5

Descriptive statistics

Standard deviation42611.572
Coefficient of variation (CV)0.0021152796
Kurtosis-0.76299011
Mean20144652
Median Absolute Deviation (MAD)30392
Skewness-0.50765593
Sum1.4695524 × 1011
Variance1.8157461 × 109
MonotonicityNot monotonic
2024-04-18T14:36:28.042315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20171229 54
 
0.5%
20171228 39
 
0.4%
20190531 36
 
0.4%
20171205 36
 
0.4%
20171211 32
 
0.3%
20171222 29
 
0.3%
20171227 28
 
0.3%
20181203 24
 
0.2%
20171206 24
 
0.2%
20171207 22
 
0.2%
Other values (2896) 6971
69.7%
(Missing) 2705
 
27.1%
ValueCountFrequency (%)
20040419 1
< 0.1%
20040503 1
< 0.1%
20040610 1
< 0.1%
20040708 1
< 0.1%
20040713 1
< 0.1%
20040714 1
< 0.1%
20040715 2
< 0.1%
20040719 1
< 0.1%
20040802 1
< 0.1%
20040809 1
< 0.1%
ValueCountFrequency (%)
20210531 2
< 0.1%
20210528 3
< 0.1%
20210527 1
 
< 0.1%
20210526 2
< 0.1%
20210521 1
 
< 0.1%
20210520 2
< 0.1%
20210517 1
 
< 0.1%
20210514 1
 
< 0.1%
20210512 1
 
< 0.1%
20210510 1
 
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지전화
Text

MISSING 

Distinct4649
Distinct (%)92.4%
Missing4966
Missing (%)49.7%
Memory size156.2 KiB
2024-04-18T14:36:28.397166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.158125
Min length3

Characters and Unicode

Total characters56170
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

Unique4340 ?
Unique (%)86.2%

Sample

1st row053 721 7813
2nd row053 636 5006
3rd row053 6372026
4th row053 2533385
5th row053 626 2022
ValueCountFrequency (%)
053 4085
34.6%
070 157
 
1.3%
02 47
 
0.4%
741 36
 
0.3%
621 33
 
0.3%
751 29
 
0.2%
622 28
 
0.2%
651 28
 
0.2%
742 27
 
0.2%
791 27
 
0.2%
Other values (4574) 7307
61.9%
2024-04-18T14:36:28.835652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 9113
16.2%
0 7949
14.2%
3 7898
14.1%
6846
12.2%
2 4440
7.9%
7 4025
7.2%
6 3801
6.8%
4 3222
 
5.7%
1 3105
 
5.5%
8 3053
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49324
87.8%
Space Separator 6846
 
12.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 9113
18.5%
0 7949
16.1%
3 7898
16.0%
2 4440
9.0%
7 4025
8.2%
6 3801
7.7%
4 3222
 
6.5%
1 3105
 
6.3%
8 3053
 
6.2%
9 2718
 
5.5%
Space Separator
ValueCountFrequency (%)
6846
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 56170
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 9113
16.2%
0 7949
14.2%
3 7898
14.1%
6846
12.2%
2 4440
7.9%
7 4025
7.2%
6 3801
6.8%
4 3222
 
5.7%
1 3105
 
5.5%
8 3053
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56170
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 9113
16.2%
0 7949
14.2%
3 7898
14.1%
6846
12.2%
2 4440
7.9%
7 4025
7.2%
6 3801
6.8%
4 3222
 
5.7%
1 3105
 
5.5%
8 3053
 
5.4%

소재지면적
Text

MISSING 

Distinct1810
Distinct (%)29.3%
Missing3828
Missing (%)38.3%
Memory size156.2 KiB
2024-04-18T14:36:29.201713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.4821776
Min length3

Characters and Unicode

Total characters27664
Distinct characters12
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

Unique1358 ?
Unique (%)22.0%

Sample

1st row3.30
2nd row3.30
3rd row198.00
4th row16.10
5th row30.00
ValueCountFrequency (%)
3.30 743
 
12.0%
00 484
 
7.8%
3.00 428
 
6.9%
1.00 313
 
5.1%
2.00 203
 
3.3%
6.00 139
 
2.3%
4.00 90
 
1.5%
6.60 86
 
1.4%
20.00 76
 
1.2%
33.00 70
 
1.1%
Other values (1800) 3540
57.4%
2024-04-18T14:36:29.680706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8295
30.0%
. 6172
22.3%
3 3135
 
11.3%
1 2037
 
7.4%
2 1830
 
6.6%
6 1341
 
4.8%
5 1253
 
4.5%
4 1148
 
4.1%
8 915
 
3.3%
9 795
 
2.9%
Other values (2) 743
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21488
77.7%
Other Punctuation 6176
 
22.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8295
38.6%
3 3135
 
14.6%
1 2037
 
9.5%
2 1830
 
8.5%
6 1341
 
6.2%
5 1253
 
5.8%
4 1148
 
5.3%
8 915
 
4.3%
9 795
 
3.7%
7 739
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 6172
99.9%
, 4
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 27664
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8295
30.0%
. 6172
22.3%
3 3135
 
11.3%
1 2037
 
7.4%
2 1830
 
6.6%
6 1341
 
4.8%
5 1253
 
4.5%
4 1148
 
4.1%
8 915
 
3.3%
9 795
 
2.9%
Other values (2) 743
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27664
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8295
30.0%
. 6172
22.3%
3 3135
 
11.3%
1 2037
 
7.4%
2 1830
 
6.6%
6 1341
 
4.8%
5 1253
 
4.5%
4 1148
 
4.1%
8 915
 
3.3%
9 795
 
2.9%
Other values (2) 743
 
2.7%

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct919
Distinct (%)9.3%
Missing107
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean704230.37
Minimum367801
Maximum760902
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:36:29.827289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367801
5-th percentile700753.6
Q1702746
median704400
Q3705828
95-th percentile706923
Maximum760902
Range393101
Interquartile range (IQR)3082

Descriptive statistics

Standard deviation6027.6526
Coefficient of variation (CV)0.0085592057
Kurtosis2194.6164
Mean704230.37
Median Absolute Deviation (MAD)1597
Skewness-41.957553
Sum6.966951 × 109
Variance36332595
MonotonicityNot monotonic
2024-04-18T14:36:29.962324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
706170 161
 
1.6%
702886 118
 
1.2%
704080 107
 
1.1%
704060 87
 
0.9%
701847 79
 
0.8%
704834 75
 
0.8%
706839 63
 
0.6%
700412 63
 
0.6%
711812 59
 
0.6%
704808 58
 
0.6%
Other values (909) 9023
90.2%
(Missing) 107
 
1.1%
ValueCountFrequency (%)
367801 1
 
< 0.1%
405835 2
 
< 0.1%
700010 16
0.2%
700020 8
 
0.1%
700030 1
 
< 0.1%
700040 3
 
< 0.1%
700060 7
 
0.1%
700070 35
0.4%
700081 3
 
< 0.1%
700082 38
0.4%
ValueCountFrequency (%)
760902 1
 
< 0.1%
712804 1
 
< 0.1%
712110 1
 
< 0.1%
711893 2
 
< 0.1%
711891 19
0.2%
711874 10
0.1%
711873 5
 
0.1%
711872 5
 
0.1%
711871 2
 
< 0.1%
711864 8
0.1%
Distinct9095
Distinct (%)91.0%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2024-04-18T14:36:30.335363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length51
Mean length27.312394
Min length15

Characters and Unicode

Total characters273042
Distinct characters488
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8461 ?
Unique (%)84.6%

Sample

1st row대구광역시 북구 태전동 976-1
2nd row대구광역시 달서구 대곡동 2-1번지 대곡우방타운 113동 102호
3rd row대구광역시 수성구 만촌동 976-25번지
4th row대구광역시 북구 구암동 772 그린빌2차
5th row대구광역시 달서구 본동 610-8번지
ValueCountFrequency (%)
대구광역시 9991
 
19.8%
달서구 2179
 
4.3%
수성구 1858
 
3.7%
북구 1710
 
3.4%
동구 1364
 
2.7%
중구 872
 
1.7%
남구 741
 
1.5%
서구 709
 
1.4%
달성군 558
 
1.1%
대명동 528
 
1.0%
Other values (9924) 29945
59.3%
2024-04-18T14:36:30.813014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48891
17.9%
19852
 
7.3%
1 14178
 
5.2%
12921
 
4.7%
11342
 
4.2%
10765
 
3.9%
10260
 
3.8%
0 10159
 
3.7%
10072
 
3.7%
10043
 
3.7%
Other values (478) 114559
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 152319
55.8%
Decimal Number 61321
22.5%
Space Separator 48891
 
17.9%
Dash Punctuation 7663
 
2.8%
Open Punctuation 1048
 
0.4%
Close Punctuation 1047
 
0.4%
Uppercase Letter 459
 
0.2%
Other Punctuation 215
 
0.1%
Lowercase Letter 60
 
< 0.1%
Math Symbol 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
19852
 
13.0%
12921
 
8.5%
11342
 
7.4%
10765
 
7.1%
10260
 
6.7%
10072
 
6.6%
10043
 
6.6%
8667
 
5.7%
3770
 
2.5%
3339
 
2.2%
Other values (425) 51288
33.7%
Uppercase Letter
ValueCountFrequency (%)
A 148
32.2%
B 58
 
12.6%
P 41
 
8.9%
T 39
 
8.5%
S 27
 
5.9%
C 20
 
4.4%
M 17
 
3.7%
L 16
 
3.5%
D 14
 
3.1%
K 14
 
3.1%
Other values (12) 65
14.2%
Decimal Number
ValueCountFrequency (%)
1 14178
23.1%
0 10159
16.6%
2 7844
12.8%
3 5951
9.7%
5 4918
 
8.0%
4 4387
 
7.2%
6 3758
 
6.1%
7 3538
 
5.8%
8 3326
 
5.4%
9 3262
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
e 42
70.0%
a 3
 
5.0%
u 2
 
3.3%
l 2
 
3.3%
p 2
 
3.3%
m 2
 
3.3%
c 2
 
3.3%
o 2
 
3.3%
s 2
 
3.3%
h 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 134
62.3%
. 47
 
21.9%
/ 27
 
12.6%
@ 7
 
3.3%
Math Symbol
ValueCountFrequency (%)
~ 16
88.9%
+ 2
 
11.1%
Space Separator
ValueCountFrequency (%)
48891
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7663
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1048
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1047
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 152320
55.8%
Common 120203
44.0%
Latin 519
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
19852
 
13.0%
12921
 
8.5%
11342
 
7.4%
10765
 
7.1%
10260
 
6.7%
10072
 
6.6%
10043
 
6.6%
8667
 
5.7%
3770
 
2.5%
3339
 
2.2%
Other values (426) 51289
33.7%
Latin
ValueCountFrequency (%)
A 148
28.5%
B 58
 
11.2%
e 42
 
8.1%
P 41
 
7.9%
T 39
 
7.5%
S 27
 
5.2%
C 20
 
3.9%
M 17
 
3.3%
L 16
 
3.1%
D 14
 
2.7%
Other values (22) 97
18.7%
Common
ValueCountFrequency (%)
48891
40.7%
1 14178
 
11.8%
0 10159
 
8.5%
2 7844
 
6.5%
- 7663
 
6.4%
3 5951
 
5.0%
5 4918
 
4.1%
4 4387
 
3.6%
6 3758
 
3.1%
7 3538
 
2.9%
Other values (10) 8916
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 152319
55.8%
ASCII 120722
44.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48891
40.5%
1 14178
 
11.7%
0 10159
 
8.4%
2 7844
 
6.5%
- 7663
 
6.3%
3 5951
 
4.9%
5 4918
 
4.1%
4 4387
 
3.6%
6 3758
 
3.1%
7 3538
 
2.9%
Other values (42) 9435
 
7.8%
Hangul
ValueCountFrequency (%)
19852
 
13.0%
12921
 
8.5%
11342
 
7.4%
10765
 
7.1%
10260
 
6.7%
10072
 
6.6%
10043
 
6.6%
8667
 
5.7%
3770
 
2.5%
3339
 
2.2%
Other values (425) 51288
33.7%
None
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct7490
Distinct (%)94.4%
Missing2064
Missing (%)20.6%
Memory size156.2 KiB
2024-04-18T14:36:31.170441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length53
Mean length32.445186
Min length20

Characters and Unicode

Total characters257485
Distinct characters518
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7168 ?
Unique (%)90.3%

Sample

1st row대구광역시 북구 영송로 16, 205호 (태전동)
2nd row대구광역시 달서구 비슬로538길 22, 113동 102호 (대곡동,대곡우방타운)
3rd row대구광역시 수성구 국채보상로216길 17 (만촌동)
4th row대구광역시 북구 구암서로 70, 207동 703호 (구암동, 그린빌2차)
5th row대구광역시 달서구 학산로7길 81-8 (본동)
ValueCountFrequency (%)
대구광역시 7931
 
15.8%
달서구 1734
 
3.5%
수성구 1474
 
2.9%
북구 1439
 
2.9%
동구 1121
 
2.2%
1층 1107
 
2.2%
2층 673
 
1.3%
중구 671
 
1.3%
남구 536
 
1.1%
서구 504
 
1.0%
Other values (6746) 33039
65.8%
2024-04-18T14:36:31.669290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42297
 
16.4%
16856
 
6.5%
12041
 
4.7%
1 11418
 
4.4%
10605
 
4.1%
8219
 
3.2%
( 8170
 
3.2%
) 8169
 
3.2%
8079
 
3.1%
7974
 
3.1%
Other values (508) 123657
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143716
55.8%
Decimal Number 45237
 
17.6%
Space Separator 42297
 
16.4%
Open Punctuation 8170
 
3.2%
Close Punctuation 8169
 
3.2%
Other Punctuation 7929
 
3.1%
Dash Punctuation 1437
 
0.6%
Uppercase Letter 427
 
0.2%
Lowercase Letter 77
 
< 0.1%
Math Symbol 25
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
16856
 
11.7%
12041
 
8.4%
10605
 
7.4%
8219
 
5.7%
8079
 
5.6%
7974
 
5.5%
7867
 
5.5%
3956
 
2.8%
3515
 
2.4%
3434
 
2.4%
Other values (452) 61170
42.6%
Uppercase Letter
ValueCountFrequency (%)
A 117
27.4%
B 65
15.2%
S 32
 
7.5%
C 25
 
5.9%
T 24
 
5.6%
P 23
 
5.4%
E 18
 
4.2%
L 17
 
4.0%
D 15
 
3.5%
H 15
 
3.5%
Other values (12) 76
17.8%
Lowercase Letter
ValueCountFrequency (%)
e 49
63.6%
p 5
 
6.5%
l 4
 
5.2%
o 3
 
3.9%
a 3
 
3.9%
m 3
 
3.9%
s 3
 
3.9%
c 2
 
2.6%
u 2
 
2.6%
h 1
 
1.3%
Other values (2) 2
 
2.6%
Decimal Number
ValueCountFrequency (%)
1 11418
25.2%
2 7013
15.5%
0 5909
13.1%
3 4961
11.0%
4 3554
 
7.9%
5 3434
 
7.6%
6 2714
 
6.0%
7 2336
 
5.2%
8 1969
 
4.4%
9 1929
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 7894
99.6%
. 20
 
0.3%
/ 11
 
0.1%
@ 3
 
< 0.1%
· 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 23
92.0%
+ 2
 
8.0%
Space Separator
ValueCountFrequency (%)
42297
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8170
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8169
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1437
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 143717
55.8%
Common 113264
44.0%
Latin 504
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
16856
 
11.7%
12041
 
8.4%
10605
 
7.4%
8219
 
5.7%
8079
 
5.6%
7974
 
5.5%
7867
 
5.5%
3956
 
2.8%
3515
 
2.4%
3434
 
2.4%
Other values (453) 61171
42.6%
Latin
ValueCountFrequency (%)
A 117
23.2%
B 65
12.9%
e 49
9.7%
S 32
 
6.3%
C 25
 
5.0%
T 24
 
4.8%
P 23
 
4.6%
E 18
 
3.6%
L 17
 
3.4%
D 15
 
3.0%
Other values (24) 119
23.6%
Common
ValueCountFrequency (%)
42297
37.3%
1 11418
 
10.1%
( 8170
 
7.2%
) 8169
 
7.2%
, 7894
 
7.0%
2 7013
 
6.2%
0 5909
 
5.2%
3 4961
 
4.4%
4 3554
 
3.1%
5 3434
 
3.0%
Other values (11) 10445
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 143716
55.8%
ASCII 113767
44.2%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42297
37.2%
1 11418
 
10.0%
( 8170
 
7.2%
) 8169
 
7.2%
, 7894
 
6.9%
2 7013
 
6.2%
0 5909
 
5.2%
3 4961
 
4.4%
4 3554
 
3.1%
5 3434
 
3.0%
Other values (44) 10948
 
9.6%
Hangul
ValueCountFrequency (%)
16856
 
11.7%
12041
 
8.4%
10605
 
7.4%
8219
 
5.7%
8079
 
5.6%
7974
 
5.5%
7867
 
5.5%
3956
 
2.8%
3515
 
2.4%
3434
 
2.4%
Other values (452) 61170
42.6%
None
ValueCountFrequency (%)
1
50.0%
· 1
50.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1322
Distinct (%)16.8%
Missing2133
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean42035.325
Minimum21565
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:36:31.806441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21565
5-th percentile41115
Q141519
median42039
Q342621
95-th percentile42914
Maximum43024
Range21459
Interquartile range (IQR)1102

Descriptive statistics

Standard deviation669.90144
Coefficient of variation (CV)0.01593663
Kurtosis220.52177
Mean42035.325
Median Absolute Deviation (MAD)564
Skewness-7.3744409
Sum3.306919 × 108
Variance448767.94
MonotonicityNot monotonic
2024-04-18T14:36:31.927848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41423 57
 
0.6%
41936 47
 
0.5%
41940 44
 
0.4%
41229 35
 
0.4%
42809 32
 
0.3%
42781 31
 
0.3%
42274 31
 
0.3%
41438 30
 
0.3%
41938 29
 
0.3%
42620 29
 
0.3%
Other values (1312) 7502
75.0%
(Missing) 2133
 
21.3%
ValueCountFrequency (%)
21565 2
 
< 0.1%
36716 1
 
< 0.1%
38631 1
 
< 0.1%
38655 1
 
< 0.1%
41000 1
 
< 0.1%
41001 2
 
< 0.1%
41002 16
0.2%
41003 2
 
< 0.1%
41005 9
0.1%
41006 2
 
< 0.1%
ValueCountFrequency (%)
43024 1
 
< 0.1%
43023 1
 
< 0.1%
43019 8
0.1%
43018 14
0.1%
43017 12
0.1%
43016 12
0.1%
43015 5
 
0.1%
43014 4
 
< 0.1%
43013 3
 
< 0.1%
43010 2
 
< 0.1%
Distinct8308
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T14:36:32.155624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length26
Mean length6.9633
Min length1

Characters and Unicode

Total characters69633
Distinct characters897
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

Unique7594 ?
Unique (%)75.9%

Sample

1st row예원푸드
2nd row근육닷컴
3rd row요요노노
4th row제이제이컬렉션
5th row한국암웨이 고재선
ValueCountFrequency (%)
허브다이어트 124
 
1.1%
한국암웨이 73
 
0.6%
주식회사 59
 
0.5%
아모레퍼시픽 54
 
0.5%
애터미 50
 
0.4%
아모레 47
 
0.4%
지에스(gs)25 47
 
0.4%
아리따움 45
 
0.4%
에이다넷 40
 
0.4%
gs25 33
 
0.3%
Other values (8534) 10726
94.9%
2024-04-18T14:36:32.548865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2805
 
4.0%
1628
 
2.3%
1623
 
2.3%
) 1537
 
2.2%
( 1521
 
2.2%
1300
 
1.9%
1236
 
1.8%
1229
 
1.8%
1080
 
1.6%
1080
 
1.6%
Other values (887) 54594
78.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61051
87.7%
Uppercase Letter 1632
 
2.3%
Close Punctuation 1537
 
2.2%
Open Punctuation 1521
 
2.2%
Decimal Number 1358
 
2.0%
Space Separator 1300
 
1.9%
Lowercase Letter 1059
 
1.5%
Other Punctuation 135
 
0.2%
Dash Punctuation 34
 
< 0.1%
Other Symbol 3
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2805
 
4.6%
1628
 
2.7%
1623
 
2.7%
1236
 
2.0%
1229
 
2.0%
1080
 
1.8%
1080
 
1.8%
1025
 
1.7%
986
 
1.6%
920
 
1.5%
Other values (810) 47439
77.7%
Lowercase Letter
ValueCountFrequency (%)
e 126
11.9%
o 101
 
9.5%
n 91
 
8.6%
a 80
 
7.6%
l 68
 
6.4%
i 67
 
6.3%
t 65
 
6.1%
r 57
 
5.4%
s 48
 
4.5%
m 42
 
4.0%
Other values (16) 314
29.7%
Uppercase Letter
ValueCountFrequency (%)
S 282
17.3%
G 241
14.8%
O 117
 
7.2%
I 110
 
6.7%
B 106
 
6.5%
C 97
 
5.9%
N 80
 
4.9%
A 60
 
3.7%
E 58
 
3.6%
H 55
 
3.4%
Other values (14) 426
26.1%
Decimal Number
ValueCountFrequency (%)
4 573
42.2%
2 289
21.3%
5 265
19.5%
1 80
 
5.9%
3 42
 
3.1%
0 33
 
2.4%
8 25
 
1.8%
9 19
 
1.4%
6 18
 
1.3%
7 14
 
1.0%
Other Punctuation
ValueCountFrequency (%)
& 54
40.0%
. 48
35.6%
, 20
 
14.8%
/ 6
 
4.4%
! 3
 
2.2%
: 1
 
0.7%
' 1
 
0.7%
; 1
 
0.7%
1
 
0.7%
Other Symbol
ValueCountFrequency (%)
2
66.7%
1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 1537
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1521
100.0%
Space Separator
ValueCountFrequency (%)
1300
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61051
87.7%
Common 5887
 
8.5%
Latin 2693
 
3.9%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2805
 
4.6%
1628
 
2.7%
1623
 
2.7%
1236
 
2.0%
1229
 
2.0%
1080
 
1.8%
1080
 
1.8%
1025
 
1.7%
986
 
1.6%
920
 
1.5%
Other values (810) 47439
77.7%
Latin
ValueCountFrequency (%)
S 282
 
10.5%
G 241
 
8.9%
e 126
 
4.7%
O 117
 
4.3%
I 110
 
4.1%
B 106
 
3.9%
o 101
 
3.8%
C 97
 
3.6%
n 91
 
3.4%
N 80
 
3.0%
Other values (41) 1342
49.8%
Common
ValueCountFrequency (%)
) 1537
26.1%
( 1521
25.8%
1300
22.1%
4 573
 
9.7%
2 289
 
4.9%
5 265
 
4.5%
1 80
 
1.4%
& 54
 
0.9%
. 48
 
0.8%
3 42
 
0.7%
Other values (15) 178
 
3.0%
Han
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61049
87.7%
ASCII 8576
 
12.3%
None 3
 
< 0.1%
Number Forms 2
 
< 0.1%
CJK 2
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2805
 
4.6%
1628
 
2.7%
1623
 
2.7%
1236
 
2.0%
1229
 
2.0%
1080
 
1.8%
1080
 
1.8%
1025
 
1.7%
986
 
1.6%
920
 
1.5%
Other values (809) 47437
77.7%
ASCII
ValueCountFrequency (%)
) 1537
17.9%
( 1521
17.7%
1300
15.2%
4 573
 
6.7%
2 289
 
3.4%
S 282
 
3.3%
5 265
 
3.1%
G 241
 
2.8%
e 126
 
1.5%
O 117
 
1.4%
Other values (63) 2325
27.1%
None
ValueCountFrequency (%)
2
66.7%
1
33.3%
Number Forms
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
2
100.0%
Misc Symbols
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

Distinct9207
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0146381 × 1013
Minimum2.0040324 × 1013
Maximum2.0210531 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:36:32.691914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040324 × 1013
5-th percentile2.0041004 × 1013
Q12.011022 × 1013
median2.0170713 × 1013
Q32.0190906 × 1013
95-th percentile2.0210126 × 1013
Maximum2.0210531 × 1013
Range1.7020717 × 1011
Interquartile range (IQR)8.0686468 × 1010

Descriptive statistics

Standard deviation5.2698505 × 1010
Coefficient of variation (CV)0.0026157802
Kurtosis-0.84035298
Mean2.0146381 × 1013
Median Absolute Deviation (MAD)3.0399478 × 1010
Skewness-0.63753444
Sum2.0146381 × 1017
Variance2.7771324 × 1021
MonotonicityNot monotonic
2024-04-18T14:36:32.835091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20041008000000 76
 
0.8%
20040618000000 35
 
0.4%
20040917000000 20
 
0.2%
20040916000000 19
 
0.2%
20040805000000 18
 
0.2%
20040617000000 17
 
0.2%
20040915000000 15
 
0.1%
20040715000000 14
 
0.1%
20041103000000 14
 
0.1%
20040918000000 12
 
0.1%
Other values (9197) 9760
97.6%
ValueCountFrequency (%)
20040324000000 3
< 0.1%
20040326000000 1
 
< 0.1%
20040401000000 2
< 0.1%
20040407000000 1
 
< 0.1%
20040408000000 1
 
< 0.1%
20040409000000 2
< 0.1%
20040426000000 2
< 0.1%
20040428000000 1
 
< 0.1%
20040429000000 1
 
< 0.1%
20040503000000 2
< 0.1%
ValueCountFrequency (%)
20210531171918 1
< 0.1%
20210531165218 1
< 0.1%
20210531145026 1
< 0.1%
20210531140903 1
< 0.1%
20210531114614 1
< 0.1%
20210531111955 1
< 0.1%
20210531111552 1
< 0.1%
20210529041508 1
< 0.1%
20210528174728 1
< 0.1%
20210528111835 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
7366 
U
2634 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 7366
73.7%
U 2634
 
26.3%

Length

2024-04-18T14:36:32.965991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:36:33.057523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 7366
73.7%
u 2634
 
26.3%
Distinct1086
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-06-02 02:40:00
2024-04-18T14:36:33.178810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T14:36:34.189125image/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 

Distinct6620
Distinct (%)67.5%
Missing187
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean343170.49
Minimum174169.07
Maximum358060.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:36:34.320541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174169.07
5-th percentile335142.82
Q1339673.1
median343318.96
Q3346549.14
95-th percentile353786.63
Maximum358060.65
Range183891.58
Interquartile range (IQR)6876.0472

Descriptive statistics

Standard deviation5747.4381
Coefficient of variation (CV)0.016748055
Kurtosis151.63801
Mean343170.49
Median Absolute Deviation (MAD)3489.6363
Skewness-5.0562244
Sum3.367532 × 109
Variance33033045
MonotonicityNot monotonic
2024-04-18T14:36:34.528658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344047.164924 35
 
0.4%
344686.259338 35
 
0.4%
339047.793379 33
 
0.3%
347037.24197 28
 
0.3%
346916.265263 27
 
0.3%
343588.735555 27
 
0.3%
340548.96997 25
 
0.2%
345032.238221 17
 
0.2%
341817.719801 17
 
0.2%
343820.40768 16
 
0.2%
Other values (6610) 9553
95.5%
(Missing) 187
 
1.9%
ValueCountFrequency (%)
174169.067539966 2
< 0.1%
325937.566452 1
< 0.1%
326177.944174 1
< 0.1%
326874.570932 1
< 0.1%
327201.005041 1
< 0.1%
327251.925896 1
< 0.1%
327539.027391 1
< 0.1%
327726.835884 1
< 0.1%
327781.719945 1
< 0.1%
327851.659254 1
< 0.1%
ValueCountFrequency (%)
358060.647419 2
< 0.1%
357975.880928 1
< 0.1%
357934.27702 1
< 0.1%
357933.237729 1
< 0.1%
357916.122672 1
< 0.1%
357646.727978 2
< 0.1%
357494.773215 1
< 0.1%
356923.487472 1
< 0.1%
356803.785693049 1
< 0.1%
356645.7844 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct6619
Distinct (%)67.5%
Missing187
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean263409.4
Minimum238029.01
Maximum438974.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:36:34.680611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238029.01
5-th percentile257703.81
Q1261182.57
median263332.03
Q3265388.04
95-th percentile271493.5
Maximum438974.35
Range200945.34
Interquartile range (IQR)4205.4709

Descriptive statistics

Standard deviation5087.3664
Coefficient of variation (CV)0.019313534
Kurtosis295.83681
Mean263409.4
Median Absolute Deviation (MAD)2092.0713
Skewness8.2365529
Sum2.5848365 × 109
Variance25881297
MonotonicityNot monotonic
2024-04-18T14:36:34.817558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265132.987974 35
 
0.4%
263958.880864 35
 
0.4%
258741.90218 33
 
0.3%
265407.404337 28
 
0.3%
264119.01075 27
 
0.3%
263443.713906 27
 
0.3%
272470.830195 25
 
0.2%
262949.871621 17
 
0.2%
263585.19321 17
 
0.2%
264018.87607 16
 
0.2%
Other values (6609) 9553
95.5%
(Missing) 187
 
1.9%
ValueCountFrequency (%)
238029.007127 1
 
< 0.1%
238126.933814 1
 
< 0.1%
239311.580853 1
 
< 0.1%
240182.187266 1
 
< 0.1%
240204.92864 1
 
< 0.1%
240292.022216 1
 
< 0.1%
240358.722944 4
< 0.1%
240365.71605 1
 
< 0.1%
240473.571874 2
< 0.1%
240482.499847 1
 
< 0.1%
ValueCountFrequency (%)
438974.350322758 2
< 0.1%
341169.264390695 1
 
< 0.1%
278042.64925 2
< 0.1%
277923.610317 1
 
< 0.1%
277799.708684 3
< 0.1%
277755.206408 1
 
< 0.1%
276945.373485 1
 
< 0.1%
276405.748917 1
 
< 0.1%
275407.035466 2
< 0.1%
275162.480468 1
 
< 0.1%

위생업태명
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업장판매
5079 
전자상거래(통신판매업)
1679 
방문판매
1274 
통신판매
1175 
다단계판매
686 
Other values (5)
 
107

Length

Max length14
Median length5
Mean length5.974
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업장판매 5079
50.8%
전자상거래(통신판매업) 1679
 
16.8%
방문판매 1274
 
12.7%
통신판매 1175
 
11.8%
다단계판매 686
 
6.9%
기타 건강기능식품일반판매업 32
 
0.3%
기타(복합 등) 31
 
0.3%
도매업(유통) 23
 
0.2%
전화권유판매 15
 
0.1%
<NA> 6
 
0.1%

Length

2024-04-18T14:36:34.952130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:36:35.076336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업장판매 5079
50.5%
전자상거래(통신판매업 1679
 
16.7%
방문판매 1274
 
12.7%
통신판매 1175
 
11.7%
다단계판매 686
 
6.8%
기타 32
 
0.3%
건강기능식품일반판매업 32
 
0.3%
기타(복합 31
 
0.3%
31
 
0.3%
도매업(유통 23
 
0.2%
Other values (2) 21
 
0.2%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9986 
0
 
14

Length

Max length4
Median length4
Mean length3.9958
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> 9986
99.9%
0 14
 
0.1%

Length

2024-04-18T14:36:35.233919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:36:35.334249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9986
99.9%
0 14
 
0.1%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9986 
0
 
14

Length

Max length4
Median length4
Mean length3.9958
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> 9986
99.9%
0 14
 
0.1%

Length

2024-04-18T14:36:35.433810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:36:35.528162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9986
99.9%
0 14
 
0.1%

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>
8351 
상수도전용
1640 
간이상수도
 
6
전용상수도(특정시설의 자가용 수도)
 
3

Length

Max length19
Median length4
Mean length4.1691
Min length4

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> 8351
83.5%
상수도전용 1640
 
16.4%
간이상수도 6
 
0.1%
전용상수도(특정시설의 자가용 수도) 3
 
< 0.1%

Length

2024-04-18T14:36:35.640078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:36:35.750806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8351
83.5%
상수도전용 1640
 
16.4%
간이상수도 6
 
0.1%
전용상수도(특정시설의 3
 
< 0.1%
자가용 3
 
< 0.1%
수도 3
 
< 0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

본사종업원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
5557 
<NA>
4409 
1
 
24
2
 
6
3
 
3

Length

Max length4
Median length1
Mean length2.3227
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 5557
55.6%
<NA> 4409
44.1%
1 24
 
0.2%
2 6
 
0.1%
3 3
 
< 0.1%
4 1
 
< 0.1%

Length

2024-04-18T14:36:35.871399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:36:35.979466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5557
55.6%
na 4409
44.1%
1 24
 
0.2%
2 6
 
0.1%
3 3
 
< 0.1%
4 1
 
< 0.1%

공장사무직종업원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct13
Distinct (%)0.2%
Missing4409
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean0.081559649
Minimum0
Maximum22
Zeros5347
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:36:36.085374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7258095
Coefficient of variation (CV)8.8991248
Kurtosis578.29883
Mean0.081559649
Median Absolute Deviation (MAD)0
Skewness21.787097
Sum456
Variance0.52679943
MonotonicityNot monotonic
2024-04-18T14:36:36.197842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 5347
53.5%
1 186
 
1.9%
2 26
 
0.3%
3 11
 
0.1%
4 10
 
0.1%
6 3
 
< 0.1%
21 2
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
20 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
(Missing) 4409
44.1%
ValueCountFrequency (%)
0 5347
53.5%
1 186
 
1.9%
2 26
 
0.3%
3 11
 
0.1%
4 10
 
0.1%
5 1
 
< 0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
14 1
 
< 0.1%
17 1
 
< 0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
21 2
 
< 0.1%
20 1
 
< 0.1%
17 1
 
< 0.1%
14 1
 
< 0.1%
7 1
 
< 0.1%
6 3
 
< 0.1%
5 1
 
< 0.1%
4 10
0.1%
3 11
0.1%

공장판매직종업원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct24
Distinct (%)0.4%
Missing4409
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean0.37202647
Minimum0
Maximum100
Zeros4856
Zeros (%)48.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:36:36.315242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.4214985
Coefficient of variation (CV)9.1969222
Kurtosis562.31077
Mean0.37202647
Median Absolute Deviation (MAD)0
Skewness22.173015
Sum2080
Variance11.706652
MonotonicityNot monotonic
2024-04-18T14:36:36.447511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 4856
48.6%
1 571
 
5.7%
2 62
 
0.6%
3 30
 
0.3%
4 15
 
0.1%
5 9
 
0.1%
10 8
 
0.1%
7 7
 
0.1%
6 6
 
0.1%
15 3
 
< 0.1%
Other values (14) 24
 
0.2%
(Missing) 4409
44.1%
ValueCountFrequency (%)
0 4856
48.6%
1 571
 
5.7%
2 62
 
0.6%
3 30
 
0.3%
4 15
 
0.1%
5 9
 
0.1%
6 6
 
0.1%
7 7
 
0.1%
9 2
 
< 0.1%
10 8
 
0.1%
ValueCountFrequency (%)
100 1
 
< 0.1%
94 3
< 0.1%
91 1
 
< 0.1%
60 1
 
< 0.1%
54 1
 
< 0.1%
52 1
 
< 0.1%
45 1
 
< 0.1%
30 3
< 0.1%
25 2
< 0.1%
22 1
 
< 0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
5582 
<NA>
4409 
1
 
6
6
 
1
30
 
1

Length

Max length4
Median length1
Mean length2.3228
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 5582
55.8%
<NA> 4409
44.1%
1 6
 
0.1%
6 1
 
< 0.1%
30 1
 
< 0.1%
9 1
 
< 0.1%

Length

2024-04-18T14:36:36.590014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:36:36.702302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5582
55.8%
na 4409
44.1%
1 6
 
0.1%
6 1
 
< 0.1%
30 1
 
< 0.1%
9 1
 
< 0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8252 
임대
960 
자가
 
788

Length

Max length4
Median length4
Mean length3.6504
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8252
82.5%
임대 960
 
9.6%
자가 788
 
7.9%

Length

2024-04-18T14:36:36.830477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:36:36.951078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8252
82.5%
임대 960
 
9.6%
자가 788
 
7.9%

보증액
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)17.8%
Missing9955
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean3311122.2
Minimum0
Maximum1 × 108
Zeros35
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:36:37.050209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9600000
Maximum1 × 108
Range1 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14992150
Coefficient of variation (CV)4.5278154
Kurtosis41.855004
Mean3311122.2
Median Absolute Deviation (MAD)0
Skewness6.3765453
Sum1.490005 × 108
Variance2.2476457 × 1014
MonotonicityNot monotonic
2024-04-18T14:36:37.161047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 35
 
0.4%
8000000 2
 
< 0.1%
5000000 2
 
< 0.1%
10000000 2
 
< 0.1%
1000000 1
 
< 0.1%
2000000 1
 
< 0.1%
500 1
 
< 0.1%
100000000 1
 
< 0.1%
(Missing) 9955
99.6%
ValueCountFrequency (%)
0 35
0.4%
500 1
 
< 0.1%
1000000 1
 
< 0.1%
2000000 1
 
< 0.1%
5000000 2
 
< 0.1%
8000000 2
 
< 0.1%
10000000 2
 
< 0.1%
100000000 1
 
< 0.1%
ValueCountFrequency (%)
100000000 1
 
< 0.1%
10000000 2
 
< 0.1%
8000000 2
 
< 0.1%
5000000 2
 
< 0.1%
2000000 1
 
< 0.1%
1000000 1
 
< 0.1%
500 1
 
< 0.1%
0 35
0.4%

월세액
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)23.4%
Missing9953
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean129362.55
Minimum0
Maximum1500000
Zeros35
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:36:37.262951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile870000
Maximum1500000
Range1500000
Interquartile range (IQR)20

Descriptive statistics

Standard deviation313496.08
Coefficient of variation (CV)2.4233913
Kurtosis8.8502522
Mean129362.55
Median Absolute Deviation (MAD)0
Skewness2.9467147
Sum6080040
Variance9.8279794 × 1010
MonotonicityNot monotonic
2024-04-18T14:36:37.389519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 35
 
0.4%
200000 3
 
< 0.1%
800000 1
 
< 0.1%
300000 1
 
< 0.1%
180000 1
 
< 0.1%
900000 1
 
< 0.1%
550000 1
 
< 0.1%
1500000 1
 
< 0.1%
250000 1
 
< 0.1%
40 1
 
< 0.1%
(Missing) 9953
99.5%
ValueCountFrequency (%)
0 35
0.4%
40 1
 
< 0.1%
180000 1
 
< 0.1%
200000 3
 
< 0.1%
250000 1
 
< 0.1%
300000 1
 
< 0.1%
550000 1
 
< 0.1%
800000 1
 
< 0.1%
900000 1
 
< 0.1%
1000000 1
 
< 0.1%
ValueCountFrequency (%)
1500000 1
 
< 0.1%
1000000 1
 
< 0.1%
900000 1
 
< 0.1%
800000 1
 
< 0.1%
550000 1
 
< 0.1%
300000 1
 
< 0.1%
250000 1
 
< 0.1%
200000 3
< 0.1%
180000 1
 
< 0.1%
40 1
 
< 0.1%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing6
Missing (%)0.1%
Memory size97.7 KiB
False
9994 
(Missing)
 
6
ValueCountFrequency (%)
False 9994
99.9%
(Missing) 6
 
0.1%
2024-04-18T14:36:37.491440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

SKEWED  ZEROS 

Distinct121
Distinct (%)1.2%
Missing6
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.71547228
Minimum0
Maximum879.51
Zeros9846
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T14:36:37.590799image/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 deviation12.098363
Coefficient of variation (CV)16.909619
Kurtosis2877.0448
Mean0.71547228
Median Absolute Deviation (MAD)0
Skewness44.407349
Sum7150.43
Variance146.3704
MonotonicityNot monotonic
2024-04-18T14:36:37.720661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9846
98.5%
3.3 8
 
0.1%
10.0 7
 
0.1%
3.0 4
 
< 0.1%
8.64 3
 
< 0.1%
30.0 3
 
< 0.1%
20.0 3
 
< 0.1%
15.0 2
 
< 0.1%
0.55 2
 
< 0.1%
7.1 2
 
< 0.1%
Other values (111) 114
 
1.1%
(Missing) 6
 
0.1%
ValueCountFrequency (%)
0.0 9846
98.5%
0.4 1
 
< 0.1%
0.55 2
 
< 0.1%
0.96 1
 
< 0.1%
1.0 1
 
< 0.1%
1.5 1
 
< 0.1%
2.4 1
 
< 0.1%
2.75 1
 
< 0.1%
2.9 1
 
< 0.1%
3.0 4
 
< 0.1%
ValueCountFrequency (%)
879.51 1
< 0.1%
243.96 1
< 0.1%
243.2 1
< 0.1%
232.51 1
< 0.1%
232.4 1
< 0.1%
190.0 1
< 0.1%
162.48 1
< 0.1%
160.62 1
< 0.1%
160.0 1
< 0.1%
155.5 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 (%)88.0%
Missing9975
Missing (%)99.8%
Memory size156.2 KiB
2024-04-18T14:36:37.914802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length19
Mean length16.28
Min length4

Characters and Unicode

Total characters407
Distinct characters50
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

Unique20 ?
Unique (%)80.0%

Sample

1st rowwww.ppeyo-kong.com
2nd rowwww.herbmugo.com
3rd row11번가, 옥션 등
4th rowwww.ddung-joy.com
5th rowhttp://www.몰백화점.com/
ValueCountFrequency (%)
오픈마켓 3
 
10.0%
옥션 2
 
6.7%
2
 
6.7%
www.herfamilly.co.kr 2
 
6.7%
www.herbnshop.com 1
 
3.3%
오픈마켓(옥션 1
 
3.3%
www.44mycong.com 1
 
3.3%
www.thezilleo.com 1
 
3.3%
www.slimribbon.com 1
 
3.3%
www.nalssingirl.com 1
 
3.3%
Other values (15) 15
50.0%
2024-04-18T14:36:38.234087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 54
 
13.3%
. 42
 
10.3%
o 33
 
8.1%
m 26
 
6.4%
c 22
 
5.4%
r 17
 
4.2%
e 16
 
3.9%
l 16
 
3.9%
t 14
 
3.4%
s 13
 
3.2%
Other values (40) 154
37.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 296
72.7%
Other Punctuation 54
 
13.3%
Other Letter 39
 
9.6%
Decimal Number 6
 
1.5%
Space Separator 5
 
1.2%
Dash Punctuation 4
 
1.0%
Open Punctuation 1
 
0.2%
Uppercase Letter 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 54
18.2%
o 33
11.1%
m 26
 
8.8%
c 22
 
7.4%
r 17
 
5.7%
e 16
 
5.4%
l 16
 
5.4%
t 14
 
4.7%
s 13
 
4.4%
i 12
 
4.1%
Other values (15) 73
24.7%
Other Letter
ValueCountFrequency (%)
7
17.9%
7
17.9%
5
12.8%
5
12.8%
3
7.7%
3
7.7%
2
 
5.1%
1
 
2.6%
1
 
2.6%
1
 
2.6%
Other values (4) 4
10.3%
Other Punctuation
ValueCountFrequency (%)
. 42
77.8%
/ 6
 
11.1%
, 3
 
5.6%
: 3
 
5.6%
Decimal Number
ValueCountFrequency (%)
4 4
66.7%
1 2
33.3%
Space Separator
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 297
73.0%
Common 71
 
17.4%
Hangul 39
 
9.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 54
18.2%
o 33
11.1%
m 26
 
8.8%
c 22
 
7.4%
r 17
 
5.7%
e 16
 
5.4%
l 16
 
5.4%
t 14
 
4.7%
s 13
 
4.4%
i 12
 
4.0%
Other values (16) 74
24.9%
Hangul
ValueCountFrequency (%)
7
17.9%
7
17.9%
5
12.8%
5
12.8%
3
7.7%
3
7.7%
2
 
5.1%
1
 
2.6%
1
 
2.6%
1
 
2.6%
Other values (4) 4
10.3%
Common
ValueCountFrequency (%)
. 42
59.2%
/ 6
 
8.5%
5
 
7.0%
4 4
 
5.6%
- 4
 
5.6%
, 3
 
4.2%
: 3
 
4.2%
1 2
 
2.8%
( 1
 
1.4%
) 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 368
90.4%
Hangul 39
 
9.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 54
14.7%
. 42
 
11.4%
o 33
 
9.0%
m 26
 
7.1%
c 22
 
6.0%
r 17
 
4.6%
e 16
 
4.3%
l 16
 
4.3%
t 14
 
3.8%
s 13
 
3.5%
Other values (26) 115
31.2%
Hangul
ValueCountFrequency (%)
7
17.9%
7
17.9%
5
12.8%
5
12.8%
3
7.7%
3
7.7%
2
 
5.1%
1
 
2.6%
1
 
2.6%
1
 
2.6%
Other values (4) 4
10.3%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
72587259건강기능식품일반판매업07_22_03_P34500003450000-134-2021-0007320210210<NA>1영업/정상1영업<NA><NA><NA><NA>053 721 78133.30702868대구광역시 북구 태전동 976-1대구광역시 북구 영송로 16, 205호 (태전동)41452예원푸드20210210141242I2021-02-12 00:23:02.0<NA>339312.553939270710.304708영업장판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
1062510626건강기능식품일반판매업07_22_03_P34700003470000-134-2009-0012520090724<NA>3폐업2폐업20120706<NA><NA><NA>053 636 5006<NA>704838대구광역시 달서구 대곡동 2-1번지 대곡우방타운 113동 102호대구광역시 달서구 비슬로538길 22, 113동 102호 (대곡동,대곡우방타운)42769근육닷컴20091027090852I2018-08-31 23:59:59.0<NA>336341.105099257285.92865통신판매<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
88758876건강기능식품일반판매업07_22_03_P34600003460000-134-2011-0019220111122<NA>3폐업2폐업20171205<NA><NA><NA><NA><NA>706810대구광역시 수성구 만촌동 976-25번지대구광역시 수성구 국채보상로216길 17 (만촌동)42051요요노노20171205111121I2018-08-31 23:59:59.0<NA>348774.636693264401.360576통신판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
71367137건강기능식품일반판매업07_22_03_P34500003450000-134-2021-0002420210126<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>702807대구광역시 북구 구암동 772 그린빌2차대구광역시 북구 구암서로 70, 207동 703호 (구암동, 그린빌2차)41424제이제이컬렉션20210126145031I2021-01-28 00:23:13.0<NA>341330.890193272473.059667전자상거래(통신판매업)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
1068410685건강기능식품일반판매업07_22_03_P34700003470000-134-2004-0041720041005<NA>3폐업2폐업20190501<NA><NA><NA>053 6372026<NA>704806대구광역시 달서구 본동 610-8번지대구광역시 달서구 학산로7길 81-8 (본동)42727한국암웨이 고재선20190502150001U2019-05-04 02:40:00.0<NA>338196.338802260565.907062다단계판매<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
1093910940건강기능식품일반판매업07_22_03_P34700003470000-134-2014-0000120140102<NA>3폐업2폐업20190207<NA><NA><NA><NA>3.30704936대구광역시 달서구 용산동 0905번지 성서동화평광협화타운 202동 306호대구광역시 달서구 성서동로 350, 202동 지상3층 306호 (용산동, 성서동화평광협화타운)42623한국암웨이20190207195246U2019-02-09 02:40:00.0<NA>336954.220302262321.195205통신판매<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
56285629건강기능식품일반판매업07_22_03_P34500003450000-134-2016-0000620160205<NA>3폐업2폐업20171213<NA><NA><NA><NA><NA>702866대구광역시 북구 태전동 1103번지대구광역시 북구 매전로 73, 101동 2005호 (태전동, 휴먼시아1차)41470에스핏앤다이어트20171213102815I2018-08-31 23:59:59.0<NA>339410.357264269057.215113방문판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
10351036건강기능식품일반판매업07_22_03_P34100003410000-134-2021-0001320210302<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>700806대구광역시 중구 남산동 0100-0010 6층 8호대구광역시 중구 남산로 85, 6층 8호 (남산동)41975넥뷰20210302100913I2021-03-04 00:23:00.0<NA>342826.756531263824.293143전자상거래(통신판매업)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
60556056건강기능식품일반판매업07_22_03_P34500003450000-134-2012-0003120120316<NA>3폐업2폐업20121008<NA><NA><NA><NA>198.00702886대구광역시 북구 동천동 905-3번지대구광역시 북구 팔거천동로 206, 5층 (동천동)41423황금미소20120316133437I2018-08-31 23:59:59.0<NA>340548.96997272470.830195영업장판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
55165517건강기능식품일반판매업07_22_03_P34500003450000-134-2011-0009220110822<NA>3폐업2폐업20190531<NA><NA><NA><NA>16.10702793대구광역시 북구 팔달동 52번지 두산위브 101동 603호대구광역시 북구 매천로2길 19, 101동 603호 (팔달동,두산위브)41489우담20190605172130U2019-06-07 02:40:00.0<NA>339258.631613267573.910916방문판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
34103411건강기능식품일반판매업07_22_03_P34300003430000-134-2009-0003420090521<NA>3폐업2폐업20131217<NA><NA><NA><NA>12.00703846대구광역시 서구 평리동 1218-2번지대구광역시 서구 국채보상로 256 (평리동)41825농협중앙회 평리지점20101111141303I2018-08-31 23:59:59.0<NA>340733.73374264542.949302영업장판매<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
1360413605건강기능식품일반판매업07_22_03_P34700003470000-134-2020-0002320200226<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>704829대구광역시 달서구 월성동 500-13번지 월성우방타운대구광역시 달서구 학산로2길 10, 102동 1002호 (월성동, 월성우방타운)42750뉴엑시(new exy)20200226090444I2020-02-28 00:23:23.0<NA>338297.495954259506.550523전자상거래(통신판매업)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
94279428건강기능식품일반판매업07_22_03_P34600003460000-134-2017-0001620170428<NA>3폐업2폐업20191218<NA><NA><NA>02 3015212130.00706817대구광역시 수성구 범어동 41-3번지 지하1층대구광역시 수성구 달구벌대로 2397, 지하1층 (범어동, KB손해보험대구빌딩)42019(주)셀트리온스킨큐어대구범어센터20191218103816U2019-12-20 02:40:00.0<NA>346701.405909263407.788164영업장판매<NA><NA><NA><NA><NA><NA>0010<NA><NA><NA>N0.0<NA><NA><NA>
1006810069건강기능식품일반판매업07_22_03_P34600003460000-134-2004-0010620040617<NA>3폐업2폐업20171128<NA><NA><NA>053 78366133.20706846대구광역시 수성구 지산동 1275-10번지대구광역시 수성구 지범로 182 (지산동)42208농협중앙회범물지점20171128115210I2018-08-31 23:59:59.0<NA>348072.155387259142.116372영업장판매<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
1305213053건강기능식품일반판매업07_22_03_P34700003470000-134-2009-0001020090206<NA>1영업/정상1영업<NA><NA><NA><NA>053 584 5714<NA>704941대구광역시 달서구 이곡동 1306-1번지 한샘아파트 103동 511호대구광역시 달서구 선원남로 77, 103동 511호 (이곡동,한샘아파트)42615팔공산상사20100726111029I2018-08-31 23:59:59.0<NA>336214.306116263032.083402방문판매<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
28122813건강기능식품일반판매업07_22_03_P34200003420000-134-2017-0002720170526<NA>1영업/정상1영업<NA><NA><NA><NA>053 985 61772.80701854대구광역시 동구 지저동 826-6번지대구광역시 동구 공항로52길 37, 1층 101호 (지저동, 유일빌라)41048자유식품20170526175730I2018-08-31 23:59:59.0<NA>347863.181431267027.207681영업장판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
60836084건강기능식품일반판매업07_22_03_P34500003450000-134-2007-0004420071107<NA>3폐업2폐업20100924<NA><NA><NA><NA>27.72702894대구광역시 북구 서변동 1734-6번지 1층<NA><NA>로뎀헬스20071107141038I2018-08-31 23:59:59.0<NA>343987.666211270607.00504영업장판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
99529953건강기능식품일반판매업07_22_03_P34600003460000-134-2011-0001420110210<NA>3폐업2폐업20210128<NA><NA><NA>053 741 50803.30706808대구광역시 수성구 만촌동 1039-4 수성아크로타워(2층) 209호대구광역시 수성구 달구벌대로 2570, 209호 (만촌동,수성아크로타워(2층))42090고민정산부인과20210128160324U2021-01-30 02:40:00.0<NA>348438.918889263282.892748영업장판매<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
30543055건강기능식품일반판매업07_22_03_P34200003420000-134-2019-0010820191212<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>701813대구광역시 동구 신암동 1833 이안동대구대구광역시 동구 송라로28길 14, 108동 8층 806호 (신암동, 이안동대구)41213리호지엔비20201104162113I2020-11-06 00:23:08.0<NA><NA><NA>전자상거래(통신판매업)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
15101511건강기능식품일반판매업07_22_03_P34200003420000-134-2012-0008520120907<NA>3폐업2폐업20181022<NA><NA><NA>053 324 5627<NA>701815대구광역시 동구 신암동 225-18번지대구광역시 동구 아양로10길 42-1, 2층 (신암동)41210콩나무20181026130045U2018-10-28 02:36:57.0<NA>346490.917777265794.739892전자상거래(통신판매업)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>