Overview

Dataset statistics

Number of variables48
Number of observations10000
Missing cells131916
Missing cells (%)27.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 MiB
Average record size in memory421.0 B

Variable types

Numeric12
Categorical18
Text7
Unsupported9
DateTime1
Boolean1

Dataset

Description2021-01-04
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123123

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
전통업소주된음식 has constant value ""Constant
영업장주변구분명 is highly imbalanced (58.7%)Imbalance
등급구분명 is highly imbalanced (57.7%)Imbalance
급수시설구분명 is highly imbalanced (55.4%)Imbalance
본사종업원수 is highly imbalanced (99.2%)Imbalance
공장사무직종업원수 is highly imbalanced (99.2%)Imbalance
공장판매직종업원수 is highly imbalanced (99.2%)Imbalance
공장생산직종업원수 is highly imbalanced (99.2%)Imbalance
보증액 is highly imbalanced (99.2%)Imbalance
월세액 is highly imbalanced (99.2%)Imbalance
다중이용업소여부 is highly imbalanced (76.9%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 4427 (44.3%) 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 4254 (42.5%) missing valuesMissing
소재지면적 has 1155 (11.6%) missing valuesMissing
소재지우편번호 has 178 (1.8%) missing valuesMissing
도로명전체주소 has 2947 (29.5%) missing valuesMissing
도로명우편번호 has 3028 (30.3%) missing valuesMissing
좌표정보(x) has 383 (3.8%) missing valuesMissing
좌표정보(y) has 383 (3.8%) missing valuesMissing
남성종사자수 has 7593 (75.9%) missing valuesMissing
여성종사자수 has 7555 (75.5%) missing valuesMissing
총종업원수 has 10000 (100.0%) missing valuesMissing
건물소유구분명 has 10000 (100.0%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 9999 (> 99.9%) missing valuesMissing
홈페이지 has 10000 (100.0%) missing valuesMissing
Unnamed: 47 has 10000 (100.0%) missing valuesMissing
인허가일자 is highly skewed (γ1 = -28.64703566)Skewed
폐업일자 is highly skewed (γ1 = -41.84188019)Skewed
남성종사자수 is highly skewed (γ1 = 21.58657805)Skewed
여성종사자수 is highly skewed (γ1 = 21.37073739)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
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물소유구분명 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
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 47 is an unsupported type, check if it needs cleaning or further analysisUnsupported
남성종사자수 has 2300 (23.0%) zerosZeros
여성종사자수 has 2220 (22.2%) zerosZeros
시설총규모 has 1492 (14.9%) zerosZeros

Reproduction

Analysis started2024-04-16 19:36:04.402655
Analysis finished2024-04-16 19:36:06.908693
Duration2.51 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%
Mean11715.236
Minimum3
Maximum23416
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T04:36:06.973640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile1130.95
Q15909.75
median11704
Q317460.25
95-th percentile22282.05
Maximum23416
Range23413
Interquartile range (IQR)11550.5

Descriptive statistics

Standard deviation6743.8047
Coefficient of variation (CV)0.57564397
Kurtosis-1.182477
Mean11715.236
Median Absolute Deviation (MAD)5778
Skewness-8.6689383 × 10-5
Sum1.1715236 × 108
Variance45478902
MonotonicityNot monotonic
2024-04-17T04:36:07.101534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10881 1
 
< 0.1%
22523 1
 
< 0.1%
17005 1
 
< 0.1%
7924 1
 
< 0.1%
4702 1
 
< 0.1%
16483 1
 
< 0.1%
21026 1
 
< 0.1%
17888 1
 
< 0.1%
7210 1
 
< 0.1%
22014 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
3 1
< 0.1%
6 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
19 1
< 0.1%
21 1
< 0.1%
22 1
< 0.1%
25 1
< 0.1%
26 1
< 0.1%
ValueCountFrequency (%)
23416 1
< 0.1%
23415 1
< 0.1%
23414 1
< 0.1%
23412 1
< 0.1%
23411 1
< 0.1%
23405 1
< 0.1%
23402 1
< 0.1%
23395 1
< 0.1%
23394 1
< 0.1%
23393 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

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

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
휴게음식점 10000
100.0%

Length

2024-04-17T04:36:07.216722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T04:36:07.304763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 10000
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
07_24_05_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_24_05_P
2nd row07_24_05_P
3rd row07_24_05_P
4th row07_24_05_P
5th row07_24_05_P

Common Values

ValueCountFrequency (%)
07_24_05_P 10000
100.0%

Length

2024-04-17T04:36:07.393769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T04:36:07.480019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_24_05_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3323653
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T04:36:07.560344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3320000
Q33350000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation42458.048
Coefficient of variation (CV)0.012774513
Kurtosis-0.9516924
Mean3323653
Median Absolute Deviation (MAD)30000
Skewness0.18117744
Sum3.323653 × 1010
Variance1.8026859 × 109
MonotonicityNot monotonic
2024-04-17T04:36:07.674707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 1565
15.7%
3330000 1183
11.8%
3300000 807
 
8.1%
3350000 778
 
7.8%
3380000 675
 
6.8%
3390000 647
 
6.5%
3310000 647
 
6.5%
3320000 621
 
6.2%
3250000 523
 
5.2%
3400000 507
 
5.1%
Other values (6) 2047
20.5%
ValueCountFrequency (%)
3250000 523
 
5.2%
3260000 309
 
3.1%
3270000 468
 
4.7%
3280000 291
 
2.9%
3290000 1565
15.7%
3300000 807
8.1%
3310000 647
6.5%
3320000 621
 
6.2%
3330000 1183
11.8%
3340000 363
 
3.6%
ValueCountFrequency (%)
3400000 507
5.1%
3390000 647
6.5%
3380000 675
6.8%
3370000 286
 
2.9%
3360000 330
 
3.3%
3350000 778
7.8%
3340000 363
 
3.6%
3330000 1183
11.8%
3320000 621
6.2%
3310000 647
6.5%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-17T04:36:07.860269image/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 row3300000-104-2004-00022
2nd row3270000-104-1980-00236
3rd row3320000-104-2019-00021
4th row3250000-104-1964-00187
5th row3390000-104-1992-02663
ValueCountFrequency (%)
3300000-104-2004-00022 1
 
< 0.1%
3270000-104-1994-00468 1
 
< 0.1%
3340000-104-2019-00039 1
 
< 0.1%
3270000-104-2014-00023 1
 
< 0.1%
3270000-104-1992-00276 1
 
< 0.1%
3390000-104-2020-00079 1
 
< 0.1%
3290000-104-2019-00223 1
 
< 0.1%
3250000-104-2019-00047 1
 
< 0.1%
3290000-104-1995-05810 1
 
< 0.1%
3290000-104-2013-00074 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-17T04:36:08.164780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 89306
40.6%
- 30000
 
13.6%
1 23080
 
10.5%
3 20971
 
9.5%
2 16303
 
7.4%
4 14292
 
6.5%
9 9066
 
4.1%
5 4649
 
2.1%
8 4604
 
2.1%
7 3912
 
1.8%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 89306
47.0%
1 23080
 
12.1%
3 20971
 
11.0%
2 16303
 
8.6%
4 14292
 
7.5%
9 9066
 
4.8%
5 4649
 
2.4%
8 4604
 
2.4%
7 3912
 
2.1%
6 3817
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 89306
40.6%
- 30000
 
13.6%
1 23080
 
10.5%
3 20971
 
9.5%
2 16303
 
7.4%
4 14292
 
6.5%
9 9066
 
4.1%
5 4649
 
2.1%
8 4604
 
2.1%
7 3912
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 89306
40.6%
- 30000
 
13.6%
1 23080
 
10.5%
3 20971
 
9.5%
2 16303
 
7.4%
4 14292
 
6.5%
9 9066
 
4.1%
5 4649
 
2.1%
8 4604
 
2.1%
7 3912
 
1.8%

인허가일자
Real number (ℝ)

SKEWED 

Distinct5290
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20083134
Minimum9890628
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T04:36:08.312531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9890628
5-th percentile19850223
Q120011084
median20130611
Q320180123
95-th percentile20200529
Maximum20201231
Range10310603
Interquartile range (IQR)169039.5

Descriptive statistics

Standard deviation155545.37
Coefficient of variation (CV)0.0077450746
Kurtosis1843.2159
Mean20083134
Median Absolute Deviation (MAD)59807
Skewness-28.647036
Sum2.0083134 × 1011
Variance2.4194361 × 1010
MonotonicityNot monotonic
2024-04-17T04:36:08.444842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190503 14
 
0.1%
20141222 12
 
0.1%
20180627 11
 
0.1%
20091215 11
 
0.1%
20170222 11
 
0.1%
20140425 10
 
0.1%
20190409 10
 
0.1%
20191010 10
 
0.1%
20030804 10
 
0.1%
20191022 10
 
0.1%
Other values (5280) 9891
98.9%
ValueCountFrequency (%)
9890628 1
< 0.1%
19631230 1
< 0.1%
19640226 1
< 0.1%
19640327 1
< 0.1%
19640929 1
< 0.1%
19650819 1
< 0.1%
19651003 1
< 0.1%
19651010 1
< 0.1%
19651024 1
< 0.1%
19651103 2
< 0.1%
ValueCountFrequency (%)
20201231 3
< 0.1%
20201230 4
< 0.1%
20201229 1
 
< 0.1%
20201228 5
0.1%
20201224 2
 
< 0.1%
20201223 2
 
< 0.1%
20201222 5
0.1%
20201221 2
 
< 0.1%
20201218 3
< 0.1%
20201217 5
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영업상태구분코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
5573 
1
4427 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 5573
55.7%
1 4427
44.3%

Length

2024-04-17T04:36:08.766240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T04:36:08.849363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 5573
55.7%
1 4427
44.3%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
5573 
영업/정상
4427 

Length

Max length5
Median length2
Mean length3.3281
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 5573
55.7%
영업/정상 4427
44.3%

Length

2024-04-17T04:36:08.958201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T04:36:09.055853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 5573
55.7%
영업/정상 4427
44.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
5573 
1
4427 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 5573
55.7%
1 4427
44.3%

Length

2024-04-17T04:36:09.146493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T04:36:09.243058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 5573
55.7%
1 4427
44.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
5573 
영업
4427 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 5573
55.7%
영업 4427
44.3%

Length

2024-04-17T04:36:09.339882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T04:36:09.424901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 5573
55.7%
영업 4427
44.3%

폐업일자
Real number (ℝ)

MISSING  SKEWED 

Distinct3400
Distinct (%)61.0%
Missing4427
Missing (%)44.3%
Infinite0
Infinite (%)0.0%
Mean20096004
Minimum9900312
Maximum21200505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T04:36:09.531571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9900312
5-th percentile19971029
Q120030403
median20120109
Q320170619
95-th percentile20200526
Maximum21200505
Range11300193
Interquartile range (IQR)140216

Descriptive statistics

Standard deviation207694.23
Coefficient of variation (CV)0.010335101
Kurtosis2043.6029
Mean20096004
Median Absolute Deviation (MAD)61109
Skewness-41.84188
Sum1.1199503 × 1011
Variance4.3136895 × 1010
MonotonicityNot monotonic
2024-04-17T04:36:09.670651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110405 38
 
0.4%
20141229 32
 
0.3%
20190724 21
 
0.2%
19980619 20
 
0.2%
20011008 16
 
0.2%
20191025 16
 
0.2%
20130412 15
 
0.1%
20000120 14
 
0.1%
20191231 13
 
0.1%
20080225 12
 
0.1%
Other values (3390) 5376
53.8%
(Missing) 4427
44.3%
ValueCountFrequency (%)
9900312 1
< 0.1%
10000101 1
< 0.1%
19880724 1
< 0.1%
19900831 1
< 0.1%
19901203 1
< 0.1%
19910716 1
< 0.1%
19910917 1
< 0.1%
19920313 1
< 0.1%
19921203 1
< 0.1%
19930106 1
< 0.1%
ValueCountFrequency (%)
21200505 1
 
< 0.1%
20201231 2
 
< 0.1%
20201230 2
 
< 0.1%
20201229 5
0.1%
20201228 6
0.1%
20201224 6
0.1%
20201223 4
< 0.1%
20201222 2
 
< 0.1%
20201221 6
0.1%
20201218 2
 
< 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 

Distinct4373
Distinct (%)76.1%
Missing4254
Missing (%)42.5%
Memory size156.2 KiB
2024-04-17T04:36:09.994654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.627567
Min length3

Characters and Unicode

Total characters55320
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4263 ?
Unique (%)74.2%

Sample

1st row051 5283030
2nd row051 671977
3rd row051
4th row051
5th row051
ValueCountFrequency (%)
051 5192
42.9%
070 148
 
1.2%
02 74
 
0.6%
727 59
 
0.5%
728 44
 
0.4%
757 22
 
0.2%
744 21
 
0.2%
611 20
 
0.2%
626 19
 
0.2%
867 19
 
0.2%
Other values (4433) 6479
53.6%
2024-04-17T04:36:10.429693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9438
17.1%
5 8893
16.1%
1 8651
15.6%
6454
11.7%
2 3904
7.1%
7 3552
 
6.4%
3 3277
 
5.9%
8 3089
 
5.6%
6 3024
 
5.5%
4 2888
 
5.2%
Other values (2) 2150
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 48863
88.3%
Space Separator 6454
 
11.7%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9438
19.3%
5 8893
18.2%
1 8651
17.7%
2 3904
8.0%
7 3552
 
7.3%
3 3277
 
6.7%
8 3089
 
6.3%
6 3024
 
6.2%
4 2888
 
5.9%
9 2147
 
4.4%
Space Separator
ValueCountFrequency (%)
6454
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 55320
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9438
17.1%
5 8893
16.1%
1 8651
15.6%
6454
11.7%
2 3904
7.1%
7 3552
 
6.4%
3 3277
 
5.9%
8 3089
 
5.6%
6 3024
 
5.5%
4 2888
 
5.2%
Other values (2) 2150
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 55320
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9438
17.1%
5 8893
16.1%
1 8651
15.6%
6454
11.7%
2 3904
7.1%
7 3552
 
6.4%
3 3277
 
5.9%
8 3089
 
5.6%
6 3024
 
5.5%
4 2888
 
5.2%
Other values (2) 2150
 
3.9%

소재지면적
Text

MISSING 

Distinct4788
Distinct (%)54.1%
Missing1155
Missing (%)11.6%
Memory size156.2 KiB
2024-04-17T04:36:10.780482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length4.9285472
Min length3

Characters and Unicode

Total characters43593
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

Unique3431 ?
Unique (%)38.8%

Sample

1st row26.00
2nd row57.13
3rd row21.31
4th row.00
5th row70.38
ValueCountFrequency (%)
00 274
 
3.1%
3.30 139
 
1.6%
6.60 106
 
1.2%
10.00 84
 
0.9%
33.00 51
 
0.6%
9.90 44
 
0.5%
30.00 37
 
0.4%
3.00 36
 
0.4%
16.50 34
 
0.4%
12.00 32
 
0.4%
Other values (4778) 8008
90.5%
2024-04-17T04:36:11.254973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 8845
20.3%
0 7184
16.5%
1 4107
9.4%
2 3933
9.0%
3 3504
 
8.0%
4 3027
 
6.9%
6 3006
 
6.9%
5 2951
 
6.8%
8 2550
 
5.8%
7 2290
 
5.3%
Other values (2) 2196
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34745
79.7%
Other Punctuation 8848
 
20.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7184
20.7%
1 4107
11.8%
2 3933
11.3%
3 3504
10.1%
4 3027
8.7%
6 3006
8.7%
5 2951
8.5%
8 2550
 
7.3%
7 2290
 
6.6%
9 2193
 
6.3%
Other Punctuation
ValueCountFrequency (%)
. 8845
> 99.9%
, 3
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 43593
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 8845
20.3%
0 7184
16.5%
1 4107
9.4%
2 3933
9.0%
3 3504
 
8.0%
4 3027
 
6.9%
6 3006
 
6.9%
5 2951
 
6.8%
8 2550
 
5.8%
7 2290
 
5.3%
Other values (2) 2196
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43593
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 8845
20.3%
0 7184
16.5%
1 4107
9.4%
2 3933
9.0%
3 3504
 
8.0%
4 3027
 
6.9%
6 3006
 
6.9%
5 2951
 
6.8%
8 2550
 
5.8%
7 2290
 
5.3%
Other values (2) 2196
 
5.0%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct858
Distinct (%)8.7%
Missing178
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean611250.87
Minimum600011
Maximum619953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T04:36:11.406802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600011
5-th percentile600815
Q1607829
median612805
Q3614849
95-th percentile618440
Maximum619953
Range19942
Interquartile range (IQR)7020

Descriptive statistics

Standard deviation5360.689
Coefficient of variation (CV)0.0087700309
Kurtosis-0.6486178
Mean611250.87
Median Absolute Deviation (MAD)3996
Skewness-0.49590524
Sum6.003706 × 109
Variance28736986
MonotonicityNot monotonic
2024-04-17T04:36:11.546480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
612020 200
 
2.0%
614847 132
 
1.3%
614846 109
 
1.1%
609839 103
 
1.0%
614845 103
 
1.0%
618200 94
 
0.9%
612704 92
 
0.9%
600017 86
 
0.9%
616852 83
 
0.8%
608805 76
 
0.8%
Other values (848) 8744
87.4%
(Missing) 178
 
1.8%
ValueCountFrequency (%)
600011 14
 
0.1%
600012 8
 
0.1%
600013 2
 
< 0.1%
600015 6
 
0.1%
600016 6
 
0.1%
600017 86
0.9%
600021 7
 
0.1%
600022 4
 
< 0.1%
600023 4
 
< 0.1%
600024 1
 
< 0.1%
ValueCountFrequency (%)
619953 22
 
0.2%
619952 10
 
0.1%
619951 34
0.3%
619913 13
 
0.1%
619912 33
0.3%
619911 17
 
0.2%
619906 16
 
0.2%
619905 39
0.4%
619904 17
 
0.2%
619903 60
0.6%

소재지전체주소
Text

Distinct8615
Distinct (%)86.3%
Missing14
Missing (%)0.1%
Memory size156.2 KiB
2024-04-17T04:36:11.853716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length58
Mean length24.751853
Min length16

Characters and Unicode

Total characters247172
Distinct characters565
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7934 ?
Unique (%)79.5%

Sample

1st row부산광역시 동래구 안락동 471-64번지
2nd row부산광역시 동구 범일동 289-11번지 288-14,15,16
3rd row부산광역시 북구 화명동 2262번지 대우이안 상가동 103호
4th row부산광역시 중구 중앙동7가 50번지
5th row부산광역시 사상구 모라동 861-1번지
ValueCountFrequency (%)
부산광역시 9986
 
21.4%
부산진구 1565
 
3.4%
해운대구 1178
 
2.5%
동래구 807
 
1.7%
금정구 777
 
1.7%
수영구 675
 
1.4%
사상구 647
 
1.4%
남구 647
 
1.4%
북구 621
 
1.3%
부전동 582
 
1.2%
Other values (9536) 29211
62.6%
2024-04-17T04:36:12.291996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36720
 
14.9%
부 13081
 
5.3%
산 12208
 
4.9%
1 11744
 
4.8%
동 11615
 
4.7%
광 10458
 
4.2%
시 10264
 
4.2%
역 10055
 
4.1%
지 10035
 
4.1%
구 9848
 
4.0%
Other values (555) 111144
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150069
60.7%
Decimal Number 49701
 
20.1%
Space Separator 36720
 
14.9%
Dash Punctuation 8634
 
3.5%
Close Punctuation 527
 
0.2%
Open Punctuation 526
 
0.2%
Other Punctuation 458
 
0.2%
Uppercase Letter 457
 
0.2%
Lowercase Letter 41
 
< 0.1%
Math Symbol 35
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 13081
 
8.7%
산 12208
 
8.1%
동 11615
 
7.7%
광 10458
 
7.0%
시 10264
 
6.8%
역 10055
 
6.7%
지 10035
 
6.7%
구 9848
 
6.6%
번 8916
 
5.9%
대 2224
 
1.5%
Other values (494) 51365
34.2%
Uppercase Letter
ValueCountFrequency (%)
B 106
23.2%
A 57
12.5%
S 51
11.2%
K 36
 
7.9%
C 32
 
7.0%
G 27
 
5.9%
E 24
 
5.3%
L 15
 
3.3%
D 14
 
3.1%
H 11
 
2.4%
Other values (15) 84
18.4%
Lowercase Letter
ValueCountFrequency (%)
e 17
41.5%
c 5
 
12.2%
l 4
 
9.8%
a 3
 
7.3%
s 3
 
7.3%
i 2
 
4.9%
p 2
 
4.9%
j 1
 
2.4%
b 1
 
2.4%
n 1
 
2.4%
Other values (2) 2
 
4.9%
Decimal Number
ValueCountFrequency (%)
1 11744
23.6%
2 6832
13.7%
3 5530
11.1%
4 4594
 
9.2%
5 4535
 
9.1%
0 4109
 
8.3%
6 3458
 
7.0%
7 3285
 
6.6%
8 2874
 
5.8%
9 2740
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 408
89.1%
. 27
 
5.9%
@ 8
 
1.7%
/ 6
 
1.3%
: 4
 
0.9%
& 2
 
0.4%
· 2
 
0.4%
' 1
 
0.2%
Space Separator
ValueCountFrequency (%)
36720
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8634
100.0%
Close Punctuation
ValueCountFrequency (%)
) 527
100.0%
Open Punctuation
ValueCountFrequency (%)
( 526
100.0%
Math Symbol
ValueCountFrequency (%)
~ 35
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150068
60.7%
Common 96601
39.1%
Latin 502
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 13081
 
8.7%
산 12208
 
8.1%
동 11615
 
7.7%
광 10458
 
7.0%
시 10264
 
6.8%
역 10055
 
6.7%
지 10035
 
6.7%
구 9848
 
6.6%
번 8916
 
5.9%
대 2224
 
1.5%
Other values (493) 51364
34.2%
Latin
ValueCountFrequency (%)
B 106
21.1%
A 57
11.4%
S 51
10.2%
K 36
 
7.2%
C 32
 
6.4%
G 27
 
5.4%
E 24
 
4.8%
e 17
 
3.4%
L 15
 
3.0%
D 14
 
2.8%
Other values (28) 123
24.5%
Common
ValueCountFrequency (%)
36720
38.0%
1 11744
 
12.2%
- 8634
 
8.9%
2 6832
 
7.1%
3 5530
 
5.7%
4 4594
 
4.8%
5 4535
 
4.7%
0 4109
 
4.3%
6 3458
 
3.6%
7 3285
 
3.4%
Other values (13) 7160
 
7.4%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150068
60.7%
ASCII 97097
39.3%
Number Forms 4
 
< 0.1%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36720
37.8%
1 11744
 
12.1%
- 8634
 
8.9%
2 6832
 
7.0%
3 5530
 
5.7%
4 4594
 
4.7%
5 4535
 
4.7%
0 4109
 
4.2%
6 3458
 
3.6%
7 3285
 
3.4%
Other values (49) 7656
 
7.9%
Hangul
ValueCountFrequency (%)
부 13081
 
8.7%
산 12208
 
8.1%
동 11615
 
7.7%
광 10458
 
7.0%
시 10264
 
6.8%
역 10055
 
6.7%
지 10035
 
6.7%
구 9848
 
6.6%
번 8916
 
5.9%
대 2224
 
1.5%
Other values (493) 51364
34.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
100.0%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

도로명전체주소
Text

MISSING 

Distinct6594
Distinct (%)93.5%
Missing2947
Missing (%)29.5%
Memory size156.2 KiB
2024-04-17T04:36:12.640915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length59
Mean length32.90458
Min length19

Characters and Unicode

Total characters232076
Distinct characters581
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6365 ?
Unique (%)90.2%

Sample

1st row부산광역시 동래구 명장로 153 (안락동)
2nd row부산광역시 북구 화명신도시로 147, 대우이안 상가동 103호 (화명동)
3rd row부산광역시 부산진구 중앙대로 672, 11층 1104호 (부전동)
4th row부산광역시 연제구 중앙대로 1000 (연산동,국민연금공단1층)
5th row부산광역시 사하구 윤공단로 116, 1층 (다대동)
ValueCountFrequency (%)
부산광역시 7053
 
15.6%
1층 2392
 
5.3%
부산진구 1022
 
2.3%
해운대구 958
 
2.1%
금정구 533
 
1.2%
남구 487
 
1.1%
수영구 455
 
1.0%
동래구 453
 
1.0%
우동 452
 
1.0%
기장군 449
 
1.0%
Other values (5937) 30923
68.4%
2024-04-17T04:36:13.126480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38147
 
16.4%
1 10643
 
4.6%
부 9590
 
4.1%
동 9023
 
3.9%
산 8773
 
3.8%
광 7740
 
3.3%
시 7666
 
3.3%
역 7112
 
3.1%
구 7048
 
3.0%
( 6994
 
3.0%
Other values (571) 119340
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 135390
58.3%
Space Separator 38147
 
16.4%
Decimal Number 35391
 
15.2%
Open Punctuation 6994
 
3.0%
Close Punctuation 6993
 
3.0%
Other Punctuation 6887
 
3.0%
Uppercase Letter 1175
 
0.5%
Dash Punctuation 955
 
0.4%
Math Symbol 101
 
< 0.1%
Lowercase Letter 39
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 9590
 
7.1%
동 9023
 
6.7%
산 8773
 
6.5%
광 7740
 
5.7%
시 7666
 
5.7%
역 7112
 
5.3%
구 7048
 
5.2%
로 6948
 
5.1%
층 4318
 
3.2%
대 3913
 
2.9%
Other values (509) 63259
46.7%
Uppercase Letter
ValueCountFrequency (%)
A 230
19.6%
C 202
17.2%
E 179
15.2%
B 165
14.0%
P 152
12.9%
S 52
 
4.4%
K 33
 
2.8%
D 29
 
2.5%
G 22
 
1.9%
N 13
 
1.1%
Other values (15) 98
8.3%
Lowercase Letter
ValueCountFrequency (%)
e 20
51.3%
l 4
 
10.3%
c 3
 
7.7%
p 2
 
5.1%
m 2
 
5.1%
s 2
 
5.1%
i 2
 
5.1%
j 1
 
2.6%
a 1
 
2.6%
b 1
 
2.6%
Decimal Number
ValueCountFrequency (%)
1 10643
30.1%
2 5231
14.8%
3 3443
 
9.7%
0 3292
 
9.3%
5 2638
 
7.5%
4 2513
 
7.1%
6 2281
 
6.4%
7 2074
 
5.9%
8 1648
 
4.7%
9 1628
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 6851
99.5%
. 17
 
0.2%
@ 9
 
0.1%
/ 4
 
0.1%
· 2
 
< 0.1%
' 1
 
< 0.1%
: 1
 
< 0.1%
! 1
 
< 0.1%
& 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 100
99.0%
× 1
 
1.0%
Space Separator
ValueCountFrequency (%)
38147
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6994
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6993
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 955
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 135389
58.3%
Common 95468
41.1%
Latin 1218
 
0.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 9590
 
7.1%
동 9023
 
6.7%
산 8773
 
6.5%
광 7740
 
5.7%
시 7666
 
5.7%
역 7112
 
5.3%
구 7048
 
5.2%
로 6948
 
5.1%
층 4318
 
3.2%
대 3913
 
2.9%
Other values (508) 63258
46.7%
Latin
ValueCountFrequency (%)
A 230
18.9%
C 202
16.6%
E 179
14.7%
B 165
13.5%
P 152
12.5%
S 52
 
4.3%
K 33
 
2.7%
D 29
 
2.4%
G 22
 
1.8%
e 20
 
1.6%
Other values (27) 134
11.0%
Common
ValueCountFrequency (%)
38147
40.0%
1 10643
 
11.1%
( 6994
 
7.3%
) 6993
 
7.3%
, 6851
 
7.2%
2 5231
 
5.5%
3 3443
 
3.6%
0 3292
 
3.4%
5 2638
 
2.8%
4 2513
 
2.6%
Other values (15) 8723
 
9.1%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 135388
58.3%
ASCII 96679
41.7%
Number Forms 4
 
< 0.1%
None 3
 
< 0.1%
CJK 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38147
39.5%
1 10643
 
11.0%
( 6994
 
7.2%
) 6993
 
7.2%
, 6851
 
7.1%
2 5231
 
5.4%
3 3443
 
3.6%
0 3292
 
3.4%
5 2638
 
2.7%
4 2513
 
2.6%
Other values (49) 9934
 
10.3%
Hangul
ValueCountFrequency (%)
부 9590
 
7.1%
동 9023
 
6.7%
산 8773
 
6.5%
광 7740
 
5.7%
시 7666
 
5.7%
역 7112
 
5.3%
구 7048
 
5.2%
로 6948
 
5.1%
층 4318
 
3.2%
대 3913
 
2.9%
Other values (507) 63257
46.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
100.0%
None
ValueCountFrequency (%)
· 2
66.7%
× 1
33.3%
CJK
ValueCountFrequency (%)
內 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅌ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1495
Distinct (%)21.4%
Missing3028
Missing (%)30.3%
Infinite0
Infinite (%)0.0%
Mean47682.51
Minimum46004
Maximum49527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T04:36:13.262634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46067
Q146955
median47769.5
Q348425.25
95-th percentile49273.45
Maximum49527
Range3523
Interquartile range (IQR)1470.25

Descriptive statistics

Standard deviation978.31086
Coefficient of variation (CV)0.020517184
Kurtosis-1.0295625
Mean47682.51
Median Absolute Deviation (MAD)740.5
Skewness-0.02317385
Sum3.3244246 × 108
Variance957092.13
MonotonicityNot monotonic
2024-04-17T04:36:13.403064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48060 158
 
1.6%
48058 118
 
1.2%
46726 96
 
1.0%
48944 79
 
0.8%
47285 77
 
0.8%
48735 52
 
0.5%
48095 43
 
0.4%
46291 43
 
0.4%
46015 41
 
0.4%
48953 40
 
0.4%
Other values (1485) 6225
62.3%
(Missing) 3028
30.3%
ValueCountFrequency (%)
46004 4
 
< 0.1%
46005 1
 
< 0.1%
46006 2
 
< 0.1%
46007 9
0.1%
46008 18
0.2%
46009 1
 
< 0.1%
46010 2
 
< 0.1%
46012 10
0.1%
46013 3
 
< 0.1%
46014 2
 
< 0.1%
ValueCountFrequency (%)
49527 1
 
< 0.1%
49525 1
 
< 0.1%
49524 6
0.1%
49522 4
< 0.1%
49521 8
0.1%
49520 1
 
< 0.1%
49519 3
 
< 0.1%
49518 7
0.1%
49515 2
 
< 0.1%
49511 4
< 0.1%

사업장명
Text

Distinct8889
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-17T04:36:13.690630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length6.8937
Min length1

Characters and Unicode

Total characters68937
Distinct characters1039
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8253 ?
Unique (%)82.5%

Sample

1st row성일레포츠스넥코너
2nd row유진
3rd row알통떡강정
4th row나루터
5th row커피일번지
ValueCountFrequency (%)
씨유 90
 
0.7%
세븐일레븐 78
 
0.6%
카페 77
 
0.6%
gs25 76
 
0.6%
coffee 62
 
0.5%
커피 48
 
0.4%
미니스톱 44
 
0.3%
cafe 36
 
0.3%
컴포즈커피 36
 
0.3%
스타벅스 36
 
0.3%
Other values (9354) 12263
95.5%
2024-04-17T04:36:14.109399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2852
 
4.1%
점 2690
 
3.9%
스 2035
 
3.0%
피 1662
 
2.4%
이 1427
 
2.1%
커 1422
 
2.1%
) 1148
 
1.7%
( 1141
 
1.7%
리 1110
 
1.6%
카 853
 
1.2%
Other values (1029) 52597
76.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56676
82.2%
Uppercase Letter 3012
 
4.4%
Space Separator 2852
 
4.1%
Lowercase Letter 2504
 
3.6%
Decimal Number 1367
 
2.0%
Close Punctuation 1150
 
1.7%
Open Punctuation 1143
 
1.7%
Other Punctuation 195
 
0.3%
Dash Punctuation 25
 
< 0.1%
Modifier Symbol 6
 
< 0.1%
Other values (3) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2690
 
4.7%
스 2035
 
3.6%
피 1662
 
2.9%
이 1427
 
2.5%
커 1422
 
2.5%
리 1110
 
2.0%
카 853
 
1.5%
산 817
 
1.4%
부 809
 
1.4%
페 798
 
1.4%
Other values (943) 43053
76.0%
Lowercase Letter
ValueCountFrequency (%)
e 425
17.0%
a 262
10.5%
o 250
10.0%
f 221
 
8.8%
c 179
 
7.1%
n 133
 
5.3%
t 121
 
4.8%
i 115
 
4.6%
r 99
 
4.0%
l 98
 
3.9%
Other values (16) 601
24.0%
Uppercase Letter
ValueCountFrequency (%)
C 416
13.8%
S 327
 
10.9%
G 272
 
9.0%
P 244
 
8.1%
E 232
 
7.7%
O 180
 
6.0%
A 160
 
5.3%
F 143
 
4.7%
T 128
 
4.2%
U 90
 
3.0%
Other values (16) 820
27.2%
Other Punctuation
ValueCountFrequency (%)
. 62
31.8%
& 60
30.8%
, 28
14.4%
' 17
 
8.7%
/ 8
 
4.1%
: 6
 
3.1%
# 5
 
2.6%
! 2
 
1.0%
· 2
 
1.0%
" 2
 
1.0%
Other values (3) 3
 
1.5%
Decimal Number
ValueCountFrequency (%)
2 408
29.8%
5 352
25.7%
1 180
13.2%
0 107
 
7.8%
3 75
 
5.5%
4 65
 
4.8%
9 64
 
4.7%
7 46
 
3.4%
8 39
 
2.9%
6 31
 
2.3%
Close Punctuation
ValueCountFrequency (%)
) 1148
99.8%
] 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1141
99.8%
[ 2
 
0.2%
Modifier Symbol
ValueCountFrequency (%)
` 5
83.3%
˚ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
2852
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56672
82.2%
Common 6744
 
9.8%
Latin 5517
 
8.0%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2690
 
4.7%
스 2035
 
3.6%
피 1662
 
2.9%
이 1427
 
2.5%
커 1422
 
2.5%
리 1110
 
2.0%
카 853
 
1.5%
산 817
 
1.4%
부 809
 
1.4%
페 798
 
1.4%
Other values (940) 43049
76.0%
Latin
ValueCountFrequency (%)
e 425
 
7.7%
C 416
 
7.5%
S 327
 
5.9%
G 272
 
4.9%
a 262
 
4.7%
o 250
 
4.5%
P 244
 
4.4%
E 232
 
4.2%
f 221
 
4.0%
O 180
 
3.3%
Other values (43) 2688
48.7%
Common
ValueCountFrequency (%)
2852
42.3%
) 1148
17.0%
( 1141
16.9%
2 408
 
6.0%
5 352
 
5.2%
1 180
 
2.7%
0 107
 
1.6%
3 75
 
1.1%
4 65
 
1.0%
9 64
 
0.9%
Other values (23) 352
 
5.2%
Han
ValueCountFrequency (%)
人 2
50.0%
生 1
25.0%
彬 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56671
82.2%
ASCII 12254
 
17.8%
CJK 4
 
< 0.1%
None 3
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%
Number Forms 1
 
< 0.1%
Modifier Letters 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2852
23.3%
) 1148
 
9.4%
( 1141
 
9.3%
e 425
 
3.5%
C 416
 
3.4%
2 408
 
3.3%
5 352
 
2.9%
S 327
 
2.7%
G 272
 
2.2%
a 262
 
2.1%
Other values (71) 4651
38.0%
Hangul
ValueCountFrequency (%)
점 2690
 
4.7%
스 2035
 
3.6%
피 1662
 
2.9%
이 1427
 
2.5%
커 1422
 
2.5%
리 1110
 
2.0%
카 853
 
1.5%
산 817
 
1.4%
부 809
 
1.4%
페 798
 
1.4%
Other values (939) 43048
76.0%
None
ValueCountFrequency (%)
· 2
66.7%
＆ 1
33.3%
CJK
ValueCountFrequency (%)
人 2
50.0%
生 1
25.0%
彬 1
25.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅍ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct8481
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0133686 × 1013
Minimum1.9990225 × 1013
Maximum2.0201231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T04:36:14.249296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9990225 × 1013
5-th percentile2.0010524 × 1013
Q12.008022 × 1013
median2.0170406 × 1013
Q32.0190905 × 1013
95-th percentile2.020102 × 1013
Maximum2.0201231 × 1013
Range2.1100617 × 1011
Interquartile range (IQR)1.1068527 × 1011

Descriptive statistics

Standard deviation7.0702116 × 1010
Coefficient of variation (CV)0.003511633
Kurtosis-0.91590079
Mean2.0133686 × 1013
Median Absolute Deviation (MAD)3.0295007 × 1010
Skewness-0.78529846
Sum2.0133686 × 1017
Variance4.9987892 × 1021
MonotonicityNot monotonic
2024-04-17T04:36:14.388460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020228000000 97
 
1.0%
20010803000000 72
 
0.7%
19990318000000 67
 
0.7%
20010823000000 62
 
0.6%
20020827000000 59
 
0.6%
20020110000000 44
 
0.4%
20020828000000 38
 
0.4%
20050616000000 36
 
0.4%
20011224000000 35
 
0.4%
20011221000000 34
 
0.3%
Other values (8471) 9456
94.6%
ValueCountFrequency (%)
19990225000000 1
 
< 0.1%
19990303000000 9
 
0.1%
19990304000000 5
 
0.1%
19990305000000 15
 
0.1%
19990308000000 2
 
< 0.1%
19990311000000 1
 
< 0.1%
19990316000000 5
 
0.1%
19990317000000 31
0.3%
19990318000000 67
0.7%
19990319000000 34
0.3%
ValueCountFrequency (%)
20201231174056 1
< 0.1%
20201231172728 1
< 0.1%
20201231165232 1
< 0.1%
20201231145442 1
< 0.1%
20201231145329 1
< 0.1%
20201231144808 1
< 0.1%
20201231142314 1
< 0.1%
20201231134251 1
< 0.1%
20201231132820 1
< 0.1%
20201231131522 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
6675 
U
3325 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 6675
66.8%
U 3325
33.2%

Length

2024-04-17T04:36:14.511501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T04:36:14.592547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 6675
66.8%
u 3325
33.2%

데이터갱신일자
Date

Distinct902
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-02 02:40:00
2024-04-17T04:36:14.702913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T04:36:14.835891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
커피숍
2875 
일반조리판매
1799 
다방
1481 
기타 휴게음식점
1466 
과자점
978 
Other values (16)
1401 

Length

Max length8
Median length6
Mean length4.2739
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row일반조리판매
2nd row과자점
3rd row일반조리판매
4th row다방
5th row다방

Common Values

ValueCountFrequency (%)
커피숍 2875
28.7%
일반조리판매 1799
18.0%
다방 1481
14.8%
기타 휴게음식점 1466
14.7%
과자점 978
 
9.8%
패스트푸드 612
 
6.1%
편의점 461
 
4.6%
푸드트럭 83
 
0.8%
백화점 74
 
0.7%
전통찻집 50
 
0.5%
Other values (11) 121
 
1.2%

Length

2024-04-17T04:36:14.967623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
커피숍 2875
25.1%
일반조리판매 1799
15.7%
다방 1481
12.9%
기타 1466
12.8%
휴게음식점 1466
12.8%
과자점 978
 
8.5%
패스트푸드 612
 
5.3%
편의점 461
 
4.0%
푸드트럭 83
 
0.7%
백화점 74
 
0.6%
Other values (12) 171
 
1.5%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct6793
Distinct (%)70.6%
Missing383
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean388416.43
Minimum364927.7
Maximum407878.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T04:36:15.089458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum364927.7
5-th percentile379512.93
Q1384972.16
median388208.1
Q3391991.27
95-th percentile398320.76
Maximum407878.31
Range42950.616
Interquartile range (IQR)7019.1166

Descriptive statistics

Standard deviation5879.9154
Coefficient of variation (CV)0.015138174
Kurtosis0.82678186
Mean388416.43
Median Absolute Deviation (MAD)3486.4966
Skewness-0.013752327
Sum3.7354008 × 109
Variance34573405
MonotonicityNot monotonic
2024-04-17T04:36:15.211137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
394482.139208377 108
 
1.1%
387271.299492377 86
 
0.9%
393952.264486105 79
 
0.8%
385590.814676765 78
 
0.8%
387539.767677801 76
 
0.8%
389097.800933845 45
 
0.4%
394457.407487917 30
 
0.3%
390208.09260128 29
 
0.3%
389314.662085919 29
 
0.3%
392321.102334852 25
 
0.2%
Other values (6783) 9032
90.3%
(Missing) 383
 
3.8%
ValueCountFrequency (%)
364927.696730227 1
< 0.1%
365045.343077193 2
< 0.1%
365131.369476857 1
< 0.1%
365434.715726108 1
< 0.1%
365460.157470439 1
< 0.1%
366168.207165745 1
< 0.1%
366543.906759876 1
< 0.1%
366678.639686731 1
< 0.1%
366778.837130241 1
< 0.1%
366779.273666901 1
< 0.1%
ValueCountFrequency (%)
407878.31227469 1
< 0.1%
407756.907308392 1
< 0.1%
407739.046710947 1
< 0.1%
407733.646086866 1
< 0.1%
407593.3507086 1
< 0.1%
407558.283562697 1
< 0.1%
407465.055048662 1
< 0.1%
407157.520969703 1
< 0.1%
407012.469380515 1
< 0.1%
407003.941456545 1
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct6794
Distinct (%)70.6%
Missing383
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean187420.76
Minimum169466.97
Maximum211459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T04:36:15.639433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169466.97
5-th percentile178974.16
Q1184013.27
median186868.03
Q3190989.55
95-th percentile197045.93
Maximum211459
Range41992.031
Interquartile range (IQR)6976.2838

Descriptive statistics

Standard deviation5814.3226
Coefficient of variation (CV)0.031022831
Kurtosis0.90332756
Mean187420.76
Median Absolute Deviation (MAD)3541.4277
Skewness0.62732131
Sum1.8024254 × 109
Variance33806347
MonotonicityNot monotonic
2024-04-17T04:36:15.770265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187606.035424193 108
 
1.1%
186099.137533193 86
 
0.9%
187602.933160728 79
 
0.8%
179553.867031936 78
 
0.8%
184402.96650913 76
 
0.8%
192260.811648263 45
 
0.4%
187231.530457387 30
 
0.3%
196546.356333373 29
 
0.3%
194669.898821687 29
 
0.3%
184041.758684038 25
 
0.2%
Other values (6784) 9032
90.3%
(Missing) 383
 
3.8%
ValueCountFrequency (%)
169466.971226381 1
< 0.1%
170813.584718477 1
< 0.1%
171536.903133138 1
< 0.1%
172497.470216223 1
< 0.1%
172614.463185626 1
< 0.1%
173029.051447573 1
< 0.1%
173080.332146413 2
< 0.1%
173725.8041865 1
< 0.1%
173765.464798248 1
< 0.1%
173895.655729558 1
< 0.1%
ValueCountFrequency (%)
211459.001777975 2
< 0.1%
210945.104382171 3
< 0.1%
210284.515757078 1
 
< 0.1%
210184.120503763 1
 
< 0.1%
210111.800324086 1
 
< 0.1%
209997.104379978 1
 
< 0.1%
209640.461628918 1
 
< 0.1%
209469.032000262 1
 
< 0.1%
209321.781147486 1
 
< 0.1%
208694.830978882 1
 
< 0.1%

위생업태명
Categorical

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
커피숍
2875 
일반조리판매
1812 
다방
1481 
기타 휴게음식점
1474 
과자점
979 
Other values (16)
1379 

Length

Max length8
Median length6
Mean length4.2829
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row일반조리판매
2nd row과자점
3rd row일반조리판매
4th row다방
5th row다방

Common Values

ValueCountFrequency (%)
커피숍 2875
28.7%
일반조리판매 1812
18.1%
다방 1481
14.8%
기타 휴게음식점 1474
14.7%
과자점 979
 
9.8%
패스트푸드 617
 
6.2%
편의점 433
 
4.3%
푸드트럭 83
 
0.8%
백화점 74
 
0.7%
전통찻집 51
 
0.5%
Other values (11) 121
 
1.2%

Length

2024-04-17T04:36:15.892360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
커피숍 2875
25.1%
일반조리판매 1812
15.8%
다방 1481
12.9%
기타 1474
12.8%
휴게음식점 1474
12.8%
과자점 979
 
8.5%
패스트푸드 617
 
5.4%
편의점 433
 
3.8%
푸드트럭 83
 
0.7%
백화점 74
 
0.6%
Other values (12) 172
 
1.5%

남성종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)0.2%
Missing7593
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean0.059825509
Minimum0
Maximum15
Zeros2300
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T04:36:15.987679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.42245036
Coefficient of variation (CV)7.0613752
Kurtosis685.65592
Mean0.059825509
Median Absolute Deviation (MAD)0
Skewness21.586578
Sum144
Variance0.17846431
MonotonicityNot monotonic
2024-04-17T04:36:16.090291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 2300
 
23.0%
1 92
 
0.9%
2 9
 
0.1%
3 4
 
< 0.1%
7 1
 
< 0.1%
15 1
 
< 0.1%
(Missing) 7593
75.9%
ValueCountFrequency (%)
0 2300
23.0%
1 92
 
0.9%
2 9
 
0.1%
3 4
 
< 0.1%
7 1
 
< 0.1%
15 1
 
< 0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
7 1
 
< 0.1%
3 4
 
< 0.1%
2 9
 
0.1%
1 92
 
0.9%
0 2300
23.0%

여성종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct11
Distinct (%)0.4%
Missing7555
Missing (%)75.5%
Infinite0
Infinite (%)0.0%
Mean0.14478528
Minimum0
Maximum29
Zeros2220
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T04:36:16.186661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.87536432
Coefficient of variation (CV)6.0459485
Kurtosis609.13773
Mean0.14478528
Median Absolute Deviation (MAD)0
Skewness21.370737
Sum354
Variance0.76626269
MonotonicityNot monotonic
2024-04-17T04:36:16.293940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 2220
 
22.2%
1 173
 
1.7%
2 40
 
0.4%
3 4
 
< 0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
12 1
 
< 0.1%
29 1
 
< 0.1%
8 1
 
< 0.1%
(Missing) 7555
75.5%
ValueCountFrequency (%)
0 2220
22.2%
1 173
 
1.7%
2 40
 
0.4%
3 4
 
< 0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
12 1
 
< 0.1%
20 1
 
< 0.1%
ValueCountFrequency (%)
29 1
 
< 0.1%
20 1
 
< 0.1%
12 1
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
5 1
 
< 0.1%
4 2
 
< 0.1%
3 4
 
< 0.1%
2 40
 
0.4%
1 173
1.7%

영업장주변구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6897 
기타
2450 
주택가주변
 
355
아파트지역
 
133
유흥업소밀집지역
 
113
Other values (3)
 
52

Length

Max length8
Median length4
Mean length3.6243
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6897
69.0%
기타 2450
 
24.5%
주택가주변 355
 
3.5%
아파트지역 133
 
1.3%
유흥업소밀집지역 113
 
1.1%
학교정화(상대) 36
 
0.4%
학교정화(절대) 11
 
0.1%
결혼예식장주변 5
 
0.1%

Length

2024-04-17T04:36:16.409372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T04:36:16.523489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6897
69.0%
기타 2450
 
24.5%
주택가주변 355
 
3.5%
아파트지역 133
 
1.3%
유흥업소밀집지역 113
 
1.1%
학교정화(상대 36
 
0.4%
학교정화(절대 11
 
0.1%
결혼예식장주변 5
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7193 
기타
2143 
자율
 
643
지도
 
11
우수
 
9

Length

Max length4
Median length4
Mean length3.4385
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7193
71.9%
기타 2143
 
21.4%
자율 643
 
6.4%
지도 11
 
0.1%
우수 9
 
0.1%
갑 1
 
< 0.1%

Length

2024-04-17T04:36:16.651240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T04:36:16.764181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7193
71.9%
기타 2143
 
21.4%
자율 643
 
6.4%
지도 11
 
0.1%
우수 9
 
0.1%
갑 1
 
< 0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5149 
상수도전용
4813 
지하수전용
 
22
간이상수도
 
10
상수도(음용)지하수(주방용)겸용
 
6

Length

Max length17
Median length4
Mean length4.4923
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5149
51.5%
상수도전용 4813
48.1%
지하수전용 22
 
0.2%
간이상수도 10
 
0.1%
상수도(음용)지하수(주방용)겸용 6
 
0.1%

Length

2024-04-17T04:36:16.872458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T04:36:16.979923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5149
51.5%
상수도전용 4813
48.1%
지하수전용 22
 
0.2%
간이상수도 10
 
0.1%
상수도(음용)지하수(주방용)겸용 6
 
0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9993 
0
 
7

Length

Max length4
Median length4
Mean length3.9979
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> 9993
99.9%
0 7
 
0.1%

Length

2024-04-17T04:36:17.096619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T04:36:17.191412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9993
99.9%
0 7
 
0.1%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9993 
0
 
7

Length

Max length4
Median length4
Mean length3.9979
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> 9993
99.9%
0 7
 
0.1%

Length

2024-04-17T04:36:17.283232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T04:36:17.376809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9993
99.9%
0 7
 
0.1%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9993 
0
 
7

Length

Max length4
Median length4
Mean length3.9979
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> 9993
99.9%
0 7
 
0.1%

Length

2024-04-17T04:36:17.478653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T04:36:17.576838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9993
99.9%
0 7
 
0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9993 
0
 
7

Length

Max length4
Median length4
Mean length3.9979
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> 9993
99.9%
0 7
 
0.1%

Length

2024-04-17T04:36:17.678904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T04:36:17.781529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9993
99.9%
0 7
 
0.1%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9993 
0
 
7

Length

Max length4
Median length4
Mean length3.9979
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> 9993
99.9%
0 7
 
0.1%

Length

2024-04-17T04:36:17.896572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T04:36:17.984264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9993
99.9%
0 7
 
0.1%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9993 
0
 
7

Length

Max length4
Median length4
Mean length3.9979
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> 9993
99.9%
0 7
 
0.1%

Length

2024-04-17T04:36:18.088605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T04:36:18.182202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9993
99.9%
0 7
 
0.1%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9624 
True
 
376
ValueCountFrequency (%)
False 9624
96.2%
True 376
 
3.8%
2024-04-17T04:36:18.250403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct4767
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.339774
Minimum0
Maximum1697.06
Zeros1492
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T04:36:18.362565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.2425
median28.5
Q361.4
95-th percentile169.4315
Maximum1697.06
Range1697.06
Interquartile range (IQR)53.1575

Descriptive statistics

Standard deviation74.125119
Coefficient of variation (CV)1.5023401
Kurtosis50.26949
Mean49.339774
Median Absolute Deviation (MAD)24.15
Skewness4.9733116
Sum493397.74
Variance5494.5333
MonotonicityNot monotonic
2024-04-17T04:36:18.490741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1492
 
14.9%
3.3 139
 
1.4%
6.6 106
 
1.1%
10.0 85
 
0.9%
33.0 53
 
0.5%
9.9 44
 
0.4%
30.0 38
 
0.4%
3.0 36
 
0.4%
16.5 34
 
0.3%
12.0 33
 
0.3%
Other values (4757) 7940
79.4%
ValueCountFrequency (%)
0.0 1492
14.9%
0.01 1
 
< 0.1%
0.6 1
 
< 0.1%
0.64 1
 
< 0.1%
0.7 1
 
< 0.1%
0.77 1
 
< 0.1%
0.8 3
 
< 0.1%
0.81 1
 
< 0.1%
0.92 1
 
< 0.1%
1.0 14
 
0.1%
ValueCountFrequency (%)
1697.06 1
< 0.1%
1175.0 1
< 0.1%
1022.0 1
< 0.1%
919.37 1
< 0.1%
865.88 1
< 0.1%
839.76 1
< 0.1%
787.5 1
< 0.1%
734.0 1
< 0.1%
722.81 1
< 0.1%
701.39 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전통업소주된음식
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-17T04:36:18.588219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row커피
ValueCountFrequency (%)
커피 1
100.0%
2024-04-17T04:36:18.774158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
커 1
50.0%
피 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
커 1
50.0%
피 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
커 1
50.0%
피 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
커 1
50.0%
피 1
50.0%

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
1088010881휴게음식점07_24_05_P33000003300000-104-2004-0002220041001<NA>3폐업2폐업20160407<NA><NA><NA>051 528303026.00607826부산광역시 동래구 안락동 471-64번지부산광역시 동래구 명장로 153 (안락동)47771성일레포츠스넥코너20060912000000I2018-08-31 23:59:59.0일반조리판매392333.262387190804.667916일반조리판매00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N26.0<NA><NA><NA><NA>
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89338934휴게음식점07_24_05_P33700003370000-104-2008-0001120080731<NA>1영업/정상1영업<NA><NA><NA><NA>051 867 26509.87611830부산광역시 연제구 연산동 1422-8번지 국민연금공단1층부산광역시 연제구 중앙대로 1000 (연산동,국민연금공단1층)47606엔피에스카페테리아카페삼십육점오20200413104659U2020-04-15 02:40:00.0커피숍389012.489298188512.518401커피숍<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N9.87<NA><NA><NA><NA>
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번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
1226412265휴게음식점07_24_05_P33100003310000-104-2011-0003320110627<NA>3폐업2폐업20130528<NA><NA><NA>070 86320079151.11608805부산광역시 남구 대연동 76-2번지 (3층)부산광역시 남구 용소로8번길 48 (대연동,(3층))48499주주카페20110705111531I2018-08-31 23:59:59.0커피숍391131.297204183855.232405커피숍<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N151.11<NA><NA><NA><NA>
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1391413915휴게음식점07_24_05_P33100003310000-104-2017-0003920170523<NA>3폐업2폐업20200507<NA><NA><NA><NA>44.17608020부산광역시 남구 대연동 1858번지 115동 101호부산광역시 남구 수영로 345, 115동 101호 (대연동)48432카페 뜰에서20200507101843U2020-05-09 02:40:00.0커피숍391411.450181184553.6728커피숍<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N44.17<NA><NA><NA><NA>
309310휴게음식점07_24_05_P33500003350000-104-2018-0003120180418<NA>1영업/정상1영업<NA><NA><NA><NA>051 917 370012.95609823부산광역시 금정구 부곡동 295-16번지 도원빌딩부산광역시 금정구 부곡로 112, 도원빌딩 3층 (부곡동)46271OX PC방 부곡점20180509110747I2018-08-31 23:59:59.0패스트푸드390391.517328193847.942775패스트푸드<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N12.95<NA><NA><NA><NA>
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2285822859휴게음식점07_24_05_P32900003290000-104-2010-0006020101011<NA>3폐업2폐업20130604<NA><NA><NA>051 804 819528.53614843부산광역시 부산진구 부전동 51번지 번지(2층일부)부산광역시 부산진구 중앙대로783번길 30 (부전동,번지(2층일부))47250복주머니20101011095520I2018-08-31 23:59:59.0일반조리판매387796.491508186835.722996일반조리판매<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N28.53<NA><NA><NA><NA>