Overview

Dataset statistics

Number of variables48
Number of observations4879
Missing cells58438
Missing cells (%)25.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 MiB
Average record size in memory414.0 B

Variable types

Numeric11
Categorical19
Text6
Unsupported10
DateTime1
Boolean1

Dataset

Description2021-03-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123117

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
업태구분명 has constant value ""Constant
위생업태명 has constant value ""Constant
등급구분명 is highly imbalanced (54.4%)Imbalance
급수시설구분명 is highly imbalanced (65.6%)Imbalance
본사종업원수 is highly imbalanced (99.5%)Imbalance
공장사무직종업원수 is highly imbalanced (99.5%)Imbalance
공장판매직종업원수 is highly imbalanced (99.5%)Imbalance
공장생산직종업원수 is highly imbalanced (99.5%)Imbalance
보증액 is highly imbalanced (99.5%)Imbalance
월세액 is highly imbalanced (99.5%)Imbalance
인허가취소일자 has 4879 (100.0%) missing valuesMissing
폐업일자 has 1685 (34.5%) missing valuesMissing
휴업시작일자 has 4879 (100.0%) missing valuesMissing
휴업종료일자 has 4879 (100.0%) missing valuesMissing
재개업일자 has 4879 (100.0%) missing valuesMissing
소재지전화 has 569 (11.7%) missing valuesMissing
소재지면적 has 398 (8.2%) missing valuesMissing
도로명전체주소 has 2564 (52.6%) missing valuesMissing
도로명우편번호 has 2633 (54.0%) missing valuesMissing
좌표정보(x) has 200 (4.1%) missing valuesMissing
좌표정보(y) has 200 (4.1%) missing valuesMissing
여성종사자수 has 1386 (28.4%) missing valuesMissing
총종업원수 has 4879 (100.0%) missing valuesMissing
건물소유구분명 has 4879 (100.0%) missing valuesMissing
전통업소지정번호 has 4879 (100.0%) missing valuesMissing
전통업소주된음식 has 4879 (100.0%) missing valuesMissing
홈페이지 has 4879 (100.0%) missing valuesMissing
Unnamed: 47 has 4879 (100.0%) missing valuesMissing
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
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 47 is an unsupported type, check if it needs cleaning or further analysisUnsupported
여성종사자수 has 3065 (62.8%) zerosZeros
시설총규모 has 544 (11.1%) zerosZeros

Reproduction

Analysis started2024-04-16 12:54:05.659118
Analysis finished2024-04-16 12:54:06.810622
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4879
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2440
Minimum1
Maximum4879
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.0 KiB
2024-04-16T21:54:06.873112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile244.9
Q11220.5
median2440
Q33659.5
95-th percentile4635.1
Maximum4879
Range4878
Interquartile range (IQR)2439

Descriptive statistics

Standard deviation1408.5903
Coefficient of variation (CV)0.57729111
Kurtosis-1.2
Mean2440
Median Absolute Deviation (MAD)1220
Skewness0
Sum11904760
Variance1984126.7
MonotonicityStrictly increasing
2024-04-16T21:54:06.982024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3252 1
 
< 0.1%
3259 1
 
< 0.1%
3258 1
 
< 0.1%
3257 1
 
< 0.1%
3256 1
 
< 0.1%
3255 1
 
< 0.1%
3254 1
 
< 0.1%
3253 1
 
< 0.1%
3251 1
 
< 0.1%
Other values (4869) 4869
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
4879 1
< 0.1%
4878 1
< 0.1%
4877 1
< 0.1%
4876 1
< 0.1%
4875 1
< 0.1%
4874 1
< 0.1%
4873 1
< 0.1%
4872 1
< 0.1%
4871 1
< 0.1%
4870 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
단란주점영업
4879 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단란주점영업 4879
100.0%

Length

2024-04-16T21:54:07.075777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:54:07.141700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단란주점영업 4879
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
07_23_01_P
4879 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_23_01_P
2nd row07_23_01_P
3rd row07_23_01_P
4th row07_23_01_P
5th row07_23_01_P

Common Values

ValueCountFrequency (%)
07_23_01_P 4879
100.0%

Length

2024-04-16T21:54:07.223291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:54:07.304077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_23_01_p 4879
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3319262.1
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.0 KiB
2024-04-16T21:54:07.367959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3320000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation45151.886
Coefficient of variation (CV)0.013602989
Kurtosis-1.1694299
Mean3319262.1
Median Absolute Deviation (MAD)30000
Skewness0.097975542
Sum1.619468 × 1010
Variance2.0386928 × 109
MonotonicityNot monotonic
2024-04-16T21:54:07.455639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3300000 568
11.6%
3290000 551
11.3%
3250000 492
10.1%
3380000 461
9.4%
3340000 387
7.9%
3350000 369
7.6%
3390000 347
7.1%
3270000 341
7.0%
3330000 336
6.9%
3320000 253
 
5.2%
Other values (6) 774
15.9%
ValueCountFrequency (%)
3250000 492
10.1%
3260000 212
 
4.3%
3270000 341
7.0%
3280000 95
 
1.9%
3290000 551
11.3%
3300000 568
11.6%
3310000 122
 
2.5%
3320000 253
5.2%
3330000 336
6.9%
3340000 387
7.9%
ValueCountFrequency (%)
3400000 81
 
1.7%
3390000 347
7.1%
3380000 461
9.4%
3370000 236
4.8%
3360000 28
 
0.6%
3350000 369
7.6%
3340000 387
7.9%
3330000 336
6.9%
3320000 253
5.2%
3310000 122
 
2.5%

관리번호
Text

UNIQUE 

Distinct4879
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
2024-04-16T21:54:07.619954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters107338
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

Unique4879 ?
Unique (%)100.0%

Sample

1st row3270000-103-1994-00559
2nd row3270000-103-1994-00557
3rd row3270000-103-1994-00661
4th row3270000-103-1994-00554
5th row3270000-103-1994-00555
ValueCountFrequency (%)
3270000-103-1994-00559 1
 
< 0.1%
3270000-103-2000-00004 1
 
< 0.1%
3270000-103-2000-00016 1
 
< 0.1%
3270000-103-2000-00019 1
 
< 0.1%
3270000-103-1997-00748 1
 
< 0.1%
3270000-103-1997-00750 1
 
< 0.1%
3270000-103-2001-00776 1
 
< 0.1%
3270000-103-2001-00793 1
 
< 0.1%
3270000-103-2001-00794 1
 
< 0.1%
3250000-103-1994-00616 1
 
< 0.1%
Other values (4869) 4869
99.8%
2024-04-16T21:54:07.876520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 38103
35.5%
3 15345
14.3%
- 14637
 
13.6%
1 11493
 
10.7%
9 9756
 
9.1%
2 5194
 
4.8%
5 2963
 
2.8%
4 2834
 
2.6%
7 2584
 
2.4%
6 2443
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 92701
86.4%
Dash Punctuation 14637
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 38103
41.1%
3 15345
16.6%
1 11493
 
12.4%
9 9756
 
10.5%
2 5194
 
5.6%
5 2963
 
3.2%
4 2834
 
3.1%
7 2584
 
2.8%
6 2443
 
2.6%
8 1986
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 14637
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 107338
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 38103
35.5%
3 15345
14.3%
- 14637
 
13.6%
1 11493
 
10.7%
9 9756
 
9.1%
2 5194
 
4.8%
5 2963
 
2.8%
4 2834
 
2.6%
7 2584
 
2.4%
6 2443
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 107338
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 38103
35.5%
3 15345
14.3%
- 14637
 
13.6%
1 11493
 
10.7%
9 9756
 
9.1%
2 5194
 
4.8%
5 2963
 
2.8%
4 2834
 
2.6%
7 2584
 
2.4%
6 2443
 
2.3%

인허가일자
Real number (ℝ)

Distinct2306
Distinct (%)47.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19978269
Minimum19781108
Maximum20210108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.0 KiB
2024-04-16T21:54:08.011504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19781108
5-th percentile19931023
Q119940915
median19960704
Q319990509
95-th percentile20111037
Maximum20210108
Range429000
Interquartile range (IQR)49594

Descriptive statistics

Standard deviation55556.989
Coefficient of variation (CV)0.0027808709
Kurtosis4.2138324
Mean19978269
Median Absolute Deviation (MAD)20000
Skewness2.0577604
Sum9.7473976 × 1010
Variance3.086579 × 109
MonotonicityNot monotonic
2024-04-16T21:54:08.118842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950427 84
 
1.7%
19931231 20
 
0.4%
19931015 18
 
0.4%
19930928 15
 
0.3%
19931228 13
 
0.3%
19931223 12
 
0.2%
19940701 12
 
0.2%
19931229 12
 
0.2%
19951218 11
 
0.2%
19950224 11
 
0.2%
Other values (2296) 4671
95.7%
ValueCountFrequency (%)
19781108 1
< 0.1%
19800702 1
< 0.1%
19880702 1
< 0.1%
19890202 1
< 0.1%
19900215 1
< 0.1%
19910122 1
< 0.1%
19910826 1
< 0.1%
19920422 1
< 0.1%
19930115 2
< 0.1%
19930117 2
< 0.1%
ValueCountFrequency (%)
20210108 1
< 0.1%
20210106 1
< 0.1%
20201216 1
< 0.1%
20201202 1
< 0.1%
20201105 2
< 0.1%
20201027 1
< 0.1%
20201023 1
< 0.1%
20200928 1
< 0.1%
20200918 1
< 0.1%
20200911 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4879
Missing (%)100.0%
Memory size43.0 KiB
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
3
3194 
1
1685 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 3194
65.5%
1 1685
34.5%

Length

2024-04-16T21:54:08.439220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:54:08.512834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 3194
65.5%
1 1685
34.5%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
폐업
3194 
영업/정상
1685 

Length

Max length5
Median length2
Mean length3.036073
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 3194
65.5%
영업/정상 1685
34.5%

Length

2024-04-16T21:54:08.593545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:54:08.675690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3194
65.5%
영업/정상 1685
34.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
2
3194 
1
1685 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 3194
65.5%
1 1685
34.5%

Length

2024-04-16T21:54:08.773517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:54:08.860905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 3194
65.5%
1 1685
34.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
폐업
3194 
영업
1685 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 3194
65.5%
영업 1685
34.5%

Length

2024-04-16T21:54:08.937886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:54:09.008342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3194
65.5%
영업 1685
34.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct2054
Distinct (%)64.3%
Missing1685
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean19694700
Minimum10000
Maximum20210128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.0 KiB
2024-04-16T21:54:09.094807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile19950523
Q120000112
median20030124
Q320100610
95-th percentile20181219
Maximum20210128
Range20200128
Interquartile range (IQR)100498.25

Descriptive statistics

Standard deviation1872361.5
Coefficient of variation (CV)0.095069306
Kurtosis25.359245
Mean19694700
Median Absolute Deviation (MAD)39701
Skewness-5.1258058
Sum6.2904873 × 1010
Variance3.5057375 × 1012
MonotonicityNot monotonic
2024-04-16T21:54:09.215080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000101 102
 
2.1%
20040324 67
 
1.4%
20070322 19
 
0.4%
20130626 16
 
0.3%
19990504 14
 
0.3%
20130409 12
 
0.2%
11111111 11
 
0.2%
19991020 11
 
0.2%
20140508 10
 
0.2%
20031223 10
 
0.2%
Other values (2044) 2922
59.9%
(Missing) 1685
34.5%
ValueCountFrequency (%)
10000 1
 
< 0.1%
10000101 102
2.1%
11111111 11
 
0.2%
19900507 1
 
< 0.1%
19931120 1
 
< 0.1%
19940121 1
 
< 0.1%
19940308 1
 
< 0.1%
19940317 1
 
< 0.1%
19940324 1
 
< 0.1%
19940504 1
 
< 0.1%
ValueCountFrequency (%)
20210128 1
< 0.1%
20210115 1
< 0.1%
20210113 1
< 0.1%
20201223 1
< 0.1%
20201222 1
< 0.1%
20201215 1
< 0.1%
20201207 1
< 0.1%
20201120 1
< 0.1%
20201118 2
< 0.1%
20201117 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4879
Missing (%)100.0%
Memory size43.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4879
Missing (%)100.0%
Memory size43.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4879
Missing (%)100.0%
Memory size43.0 KiB

소재지전화
Text

MISSING 

Distinct3336
Distinct (%)77.4%
Missing569
Missing (%)11.7%
Memory size38.2 KiB
2024-04-16T21:54:09.481034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.5058005
Min length3

Characters and Unicode

Total characters40970
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

Unique3234 ?
Unique (%)75.0%

Sample

1st row051
2nd row051
3rd row051
4th row051
5th row051
ValueCountFrequency (%)
051 4161
50.5%
245 36
 
0.4%
246 25
 
0.3%
244 21
 
0.3%
248 21
 
0.3%
256 16
 
0.2%
243 15
 
0.2%
469 15
 
0.2%
254 13
 
0.2%
241 11
 
0.1%
Other values (3488) 3901
47.4%
2024-04-16T21:54:09.837296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7509
18.3%
0 6563
16.0%
1 6396
15.6%
3959
9.7%
2 3128
7.6%
4 2645
 
6.5%
7 2368
 
5.8%
6 2362
 
5.8%
3 2318
 
5.7%
8 2237
 
5.5%
Other values (2) 1485
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37009
90.3%
Space Separator 3959
 
9.7%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7509
20.3%
0 6563
17.7%
1 6396
17.3%
2 3128
8.5%
4 2645
 
7.1%
7 2368
 
6.4%
6 2362
 
6.4%
3 2318
 
6.3%
8 2237
 
6.0%
9 1483
 
4.0%
Space Separator
ValueCountFrequency (%)
3959
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40970
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7509
18.3%
0 6563
16.0%
1 6396
15.6%
3959
9.7%
2 3128
7.6%
4 2645
 
6.5%
7 2368
 
5.8%
6 2362
 
5.8%
3 2318
 
5.7%
8 2237
 
5.5%
Other values (2) 1485
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7509
18.3%
0 6563
16.0%
1 6396
15.6%
3959
9.7%
2 3128
7.6%
4 2645
 
6.5%
7 2368
 
5.8%
6 2362
 
5.8%
3 2318
 
5.7%
8 2237
 
5.5%
Other values (2) 1485
 
3.6%

소재지면적
Text

MISSING 

Distinct3467
Distinct (%)77.4%
Missing398
Missing (%)8.2%
Memory size38.2 KiB
2024-04-16T21:54:10.104601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.2675742
Min length3

Characters and Unicode

Total characters23604
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

Unique2782 ?
Unique (%)62.1%

Sample

1st row62.21
2nd row24.96
3rd row77.50
4th row.00
5th row32.50
ValueCountFrequency (%)
00 146
 
3.3%
72.00 5
 
0.1%
63.00 5
 
0.1%
87.00 5
 
0.1%
75.00 5
 
0.1%
61.60 5
 
0.1%
59.00 5
 
0.1%
140.00 5
 
0.1%
52.00 5
 
0.1%
64.90 4
 
0.1%
Other values (3457) 4291
95.8%
2024-04-16T21:54:10.483441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 4481
19.0%
1 2881
12.2%
0 2747
11.6%
4 1889
8.0%
6 1730
 
7.3%
8 1729
 
7.3%
2 1698
 
7.2%
5 1666
 
7.1%
7 1629
 
6.9%
9 1592
 
6.7%
Other values (2) 1562
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19119
81.0%
Other Punctuation 4485
 
19.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2881
15.1%
0 2747
14.4%
4 1889
9.9%
6 1730
9.0%
8 1729
9.0%
2 1698
8.9%
5 1666
8.7%
7 1629
8.5%
9 1592
8.3%
3 1558
8.1%
Other Punctuation
ValueCountFrequency (%)
. 4481
99.9%
, 4
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 23604
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 4481
19.0%
1 2881
12.2%
0 2747
11.6%
4 1889
8.0%
6 1730
 
7.3%
8 1729
 
7.3%
2 1698
 
7.2%
5 1666
 
7.1%
7 1629
 
6.9%
9 1592
 
6.7%
Other values (2) 1562
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23604
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 4481
19.0%
1 2881
12.2%
0 2747
11.6%
4 1889
8.0%
6 1730
 
7.3%
8 1729
 
7.3%
2 1698
 
7.2%
5 1666
 
7.1%
7 1629
 
6.9%
9 1592
 
6.7%
Other values (2) 1562
 
6.6%

소재지우편번호
Real number (ℝ)

Distinct479
Distinct (%)9.8%
Missing13
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean609611.79
Minimum600011
Maximum619912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.0 KiB
2024-04-16T21:54:10.623472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600011
5-th percentile600071.25
Q1604829
median609839
Q3614107.5
95-th percentile617808
Maximum619912
Range19901
Interquartile range (IQR)9278.5

Descriptive statistics

Standard deviation5733.5841
Coefficient of variation (CV)0.0094053037
Kurtosis-1.1772272
Mean609611.79
Median Absolute Deviation (MAD)4991
Skewness-0.20238915
Sum2.966371 × 109
Variance32873986
MonotonicityNot monotonic
2024-04-16T21:54:10.758498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
607833 127
 
2.6%
614847 104
 
2.1%
613805 95
 
1.9%
612847 72
 
1.5%
617806 66
 
1.4%
616801 64
 
1.3%
613800 63
 
1.3%
612821 60
 
1.2%
613828 57
 
1.2%
611822 57
 
1.2%
Other values (469) 4101
84.1%
ValueCountFrequency (%)
600011 4
 
0.1%
600012 18
0.4%
600013 7
 
0.1%
600014 4
 
0.1%
600015 3
 
0.1%
600021 5
 
0.1%
600022 20
0.4%
600023 11
0.2%
600024 1
 
< 0.1%
600025 8
 
0.2%
ValueCountFrequency (%)
619912 10
 
0.2%
619906 7
 
0.1%
619905 9
 
0.2%
619904 6
 
0.1%
619903 25
0.5%
619901 11
0.2%
618815 14
0.3%
618814 8
 
0.2%
618290 3
 
0.1%
618230 1
 
< 0.1%
Distinct4192
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
2024-04-16T21:54:11.010520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length54
Mean length22.582086
Min length17

Characters and Unicode

Total characters110178
Distinct characters261
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3641 ?
Unique (%)74.6%

Sample

1st row부산광역시 동구 초량동 1204-15번지
2nd row부산광역시 동구 범일동 830-265번지
3rd row부산광역시 동구 범일동 579-2번지
4th row부산광역시 동구 범일동 579-2번지
5th row부산광역시 동구 수정동 253-1번지
ValueCountFrequency (%)
부산광역시 4879
23.5%
동래구 568
 
2.7%
부산진구 551
 
2.7%
중구 492
 
2.4%
수영구 461
 
2.2%
사하구 387
 
1.9%
금정구 369
 
1.8%
부전동 354
 
1.7%
사상구 347
 
1.7%
동구 341
 
1.6%
Other values (4335) 12002
57.8%
2024-04-16T21:54:11.445140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15880
 
14.4%
6023
 
5.5%
5831
 
5.3%
5710
 
5.2%
5193
 
4.7%
1 5095
 
4.6%
4964
 
4.5%
4883
 
4.4%
4880
 
4.4%
- 4878
 
4.4%
Other values (251) 46841
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64719
58.7%
Decimal Number 23666
 
21.5%
Space Separator 15880
 
14.4%
Dash Punctuation 4878
 
4.4%
Open Punctuation 375
 
0.3%
Close Punctuation 375
 
0.3%
Other Punctuation 266
 
0.2%
Uppercase Letter 15
 
< 0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6023
 
9.3%
5831
 
9.0%
5710
 
8.8%
5193
 
8.0%
4964
 
7.7%
4883
 
7.5%
4880
 
7.5%
4866
 
7.5%
4481
 
6.9%
807
 
1.2%
Other values (221) 17081
26.4%
Decimal Number
ValueCountFrequency (%)
1 5095
21.5%
2 3691
15.6%
3 2663
11.3%
4 2282
9.6%
5 2124
9.0%
0 1777
 
7.5%
6 1676
 
7.1%
7 1539
 
6.5%
9 1430
 
6.0%
8 1389
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
B 9
60.0%
D 1
 
6.7%
A 1
 
6.7%
T 1
 
6.7%
O 1
 
6.7%
L 1
 
6.7%
F 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 245
92.1%
. 19
 
7.1%
/ 2
 
0.8%
Math Symbol
ValueCountFrequency (%)
= 1
33.3%
> 1
33.3%
~ 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 374
99.7%
[ 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 374
99.7%
] 1
 
0.3%
Space Separator
ValueCountFrequency (%)
15880
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4878
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64719
58.7%
Common 45443
41.2%
Latin 16
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6023
 
9.3%
5831
 
9.0%
5710
 
8.8%
5193
 
8.0%
4964
 
7.7%
4883
 
7.5%
4880
 
7.5%
4866
 
7.5%
4481
 
6.9%
807
 
1.2%
Other values (221) 17081
26.4%
Common
ValueCountFrequency (%)
15880
34.9%
1 5095
 
11.2%
- 4878
 
10.7%
2 3691
 
8.1%
3 2663
 
5.9%
4 2282
 
5.0%
5 2124
 
4.7%
0 1777
 
3.9%
6 1676
 
3.7%
7 1539
 
3.4%
Other values (12) 3838
 
8.4%
Latin
ValueCountFrequency (%)
B 9
56.2%
D 1
 
6.2%
A 1
 
6.2%
T 1
 
6.2%
O 1
 
6.2%
L 1
 
6.2%
b 1
 
6.2%
F 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64719
58.7%
ASCII 45459
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15880
34.9%
1 5095
 
11.2%
- 4878
 
10.7%
2 3691
 
8.1%
3 2663
 
5.9%
4 2282
 
5.0%
5 2124
 
4.7%
0 1777
 
3.9%
6 1676
 
3.7%
7 1539
 
3.4%
Other values (20) 3854
 
8.5%
Hangul
ValueCountFrequency (%)
6023
 
9.3%
5831
 
9.0%
5710
 
8.8%
5193
 
8.0%
4964
 
7.7%
4883
 
7.5%
4880
 
7.5%
4866
 
7.5%
4481
 
6.9%
807
 
1.2%
Other values (221) 17081
26.4%

도로명전체주소
Text

MISSING 

Distinct2248
Distinct (%)97.1%
Missing2564
Missing (%)52.6%
Memory size38.2 KiB
2024-04-16T21:54:11.718769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length46
Mean length27.649676
Min length20

Characters and Unicode

Total characters64009
Distinct characters287
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

Unique2189 ?
Unique (%)94.6%

Sample

1st row부산광역시 동구 중앙대로251번길 13 (초량동,169-2)
2nd row부산광역시 동구 자성공원로 28 (범일동)
3rd row부산광역시 동구 중앙대로196번길 12-7 (초량동)
4th row부산광역시 동구 중앙대로180번길 12-6 (초량동)
5th row부산광역시 동구 중앙대로320번길 7-8 (초량동)
ValueCountFrequency (%)
부산광역시 2315
 
18.5%
부산진구 258
 
2.1%
동래구 258
 
2.1%
중구 250
 
2.0%
수영구 225
 
1.8%
사하구 214
 
1.7%
금정구 181
 
1.4%
해운대구 178
 
1.4%
지하1층 169
 
1.4%
2층 164
 
1.3%
Other values (1819) 8277
66.3%
2024-04-16T21:54:12.141800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10176
 
15.9%
3029
 
4.7%
2938
 
4.6%
2727
 
4.3%
2613
 
4.1%
2420
 
3.8%
2388
 
3.7%
) 2347
 
3.7%
( 2347
 
3.7%
1 2324
 
3.6%
Other values (277) 30700
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38041
59.4%
Space Separator 10176
 
15.9%
Decimal Number 9595
 
15.0%
Close Punctuation 2348
 
3.7%
Open Punctuation 2348
 
3.7%
Other Punctuation 965
 
1.5%
Dash Punctuation 523
 
0.8%
Uppercase Letter 10
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3029
 
8.0%
2938
 
7.7%
2727
 
7.2%
2613
 
6.9%
2420
 
6.4%
2388
 
6.3%
2316
 
6.1%
2232
 
5.9%
1100
 
2.9%
1043
 
2.7%
Other values (251) 15235
40.0%
Decimal Number
ValueCountFrequency (%)
1 2324
24.2%
2 1626
16.9%
3 1111
11.6%
4 825
 
8.6%
5 729
 
7.6%
9 648
 
6.8%
0 620
 
6.5%
6 617
 
6.4%
7 551
 
5.7%
8 544
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
B 4
40.0%
H 2
20.0%
A 2
20.0%
C 1
 
10.0%
D 1
 
10.0%
Math Symbol
ValueCountFrequency (%)
= 1
33.3%
> 1
33.3%
~ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 2347
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2347
> 99.9%
[ 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
, 960
99.5%
. 5
 
0.5%
Space Separator
ValueCountFrequency (%)
10176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 523
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38041
59.4%
Common 25958
40.6%
Latin 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3029
 
8.0%
2938
 
7.7%
2727
 
7.2%
2613
 
6.9%
2420
 
6.4%
2388
 
6.3%
2316
 
6.1%
2232
 
5.9%
1100
 
2.9%
1043
 
2.7%
Other values (251) 15235
40.0%
Common
ValueCountFrequency (%)
10176
39.2%
) 2347
 
9.0%
( 2347
 
9.0%
1 2324
 
9.0%
2 1626
 
6.3%
3 1111
 
4.3%
, 960
 
3.7%
4 825
 
3.2%
5 729
 
2.8%
9 648
 
2.5%
Other values (11) 2865
 
11.0%
Latin
ValueCountFrequency (%)
B 4
40.0%
H 2
20.0%
A 2
20.0%
C 1
 
10.0%
D 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38041
59.4%
ASCII 25968
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10176
39.2%
) 2347
 
9.0%
( 2347
 
9.0%
1 2324
 
8.9%
2 1626
 
6.3%
3 1111
 
4.3%
, 960
 
3.7%
4 825
 
3.2%
5 729
 
2.8%
9 648
 
2.5%
Other values (16) 2875
 
11.1%
Hangul
ValueCountFrequency (%)
3029
 
8.0%
2938
 
7.7%
2727
 
7.2%
2613
 
6.9%
2420
 
6.4%
2388
 
6.3%
2316
 
6.1%
2232
 
5.9%
1100
 
2.9%
1043
 
2.7%
Other values (251) 15235
40.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct575
Distinct (%)25.6%
Missing2633
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean47964.001
Minimum46015
Maximum49524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.0 KiB
2024-04-16T21:54:12.264381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46015
5-th percentile46291
Q147254
median48055
Q348923
95-th percentile49380.75
Maximum49524
Range3509
Interquartile range (IQR)1669

Descriptive statistics

Standard deviation967.87906
Coefficient of variation (CV)0.020179281
Kurtosis-0.99540936
Mean47964.001
Median Absolute Deviation (MAD)801
Skewness-0.21416093
Sum1.0772715 × 108
Variance936789.87
MonotonicityNot monotonic
2024-04-16T21:54:12.398337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48303 32
 
0.7%
48095 31
 
0.6%
48307 31
 
0.6%
47709 28
 
0.6%
47288 27
 
0.6%
48106 24
 
0.5%
48266 24
 
0.5%
47731 22
 
0.5%
48953 21
 
0.4%
47712 20
 
0.4%
Other values (565) 1986
40.7%
(Missing) 2633
54.0%
ValueCountFrequency (%)
46015 4
0.1%
46022 1
 
< 0.1%
46023 3
 
0.1%
46044 5
0.1%
46055 1
 
< 0.1%
46056 5
0.1%
46061 5
0.1%
46065 2
 
< 0.1%
46066 9
0.2%
46067 1
 
< 0.1%
ValueCountFrequency (%)
49524 14
0.3%
49518 1
 
< 0.1%
49511 1
 
< 0.1%
49509 1
 
< 0.1%
49502 1
 
< 0.1%
49494 5
 
0.1%
49493 1
 
< 0.1%
49482 5
 
0.1%
49476 5
 
0.1%
49475 5
 
0.1%
Distinct3525
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
2024-04-16T21:54:12.649643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length4.1973765
Min length1

Characters and Unicode

Total characters20479
Distinct characters769
Distinct categories12 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2912 ?
Unique (%)59.7%

Sample

1st row체리
2nd row동해꼬지구이
3rd row큐가요반주
4th row가요반주
5th row아성단란주점
ValueCountFrequency (%)
단란주점 175
 
3.3%
노래주점 22
 
0.4%
오렌지 20
 
0.4%
라이브 19
 
0.4%
노래방 18
 
0.3%
에이스 18
 
0.3%
황제 17
 
0.3%
스타 16
 
0.3%
발리 15
 
0.3%
축제 14
 
0.3%
Other values (3447) 4920
93.6%
2024-04-16T21:54:12.988281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1225
 
6.0%
1163
 
5.7%
878
 
4.3%
874
 
4.3%
483
 
2.4%
454
 
2.2%
447
 
2.2%
402
 
2.0%
376
 
1.8%
326
 
1.6%
Other values (759) 13851
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19220
93.9%
Space Separator 376
 
1.8%
Decimal Number 304
 
1.5%
Uppercase Letter 240
 
1.2%
Lowercase Letter 106
 
0.5%
Close Punctuation 81
 
0.4%
Open Punctuation 81
 
0.4%
Other Punctuation 53
 
0.3%
Letter Number 9
 
< 0.1%
Dash Punctuation 7
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1225
 
6.4%
1163
 
6.1%
878
 
4.6%
874
 
4.5%
483
 
2.5%
454
 
2.4%
447
 
2.3%
402
 
2.1%
326
 
1.7%
307
 
1.6%
Other values (687) 12661
65.9%
Uppercase Letter
ValueCountFrequency (%)
O 26
 
10.8%
B 25
 
10.4%
M 23
 
9.6%
S 18
 
7.5%
I 16
 
6.7%
A 14
 
5.8%
R 13
 
5.4%
N 12
 
5.0%
E 10
 
4.2%
C 10
 
4.2%
Other values (17) 73
30.4%
Lowercase Letter
ValueCountFrequency (%)
e 13
12.3%
o 12
11.3%
a 11
10.4%
i 9
 
8.5%
l 7
 
6.6%
k 6
 
5.7%
n 6
 
5.7%
u 6
 
5.7%
r 5
 
4.7%
s 5
 
4.7%
Other values (13) 26
24.5%
Decimal Number
ValueCountFrequency (%)
0 90
29.6%
2 70
23.0%
7 39
12.8%
8 38
12.5%
1 35
 
11.5%
3 8
 
2.6%
5 7
 
2.3%
9 7
 
2.3%
4 7
 
2.3%
6 3
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 47
88.7%
! 3
 
5.7%
' 2
 
3.8%
& 1
 
1.9%
Letter Number
ValueCountFrequency (%)
6
66.7%
3
33.3%
Space Separator
ValueCountFrequency (%)
376
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Open Punctuation
ValueCountFrequency (%)
( 81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Symbol
ValueCountFrequency (%)
° 1
100.0%
Math Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19215
93.8%
Common 904
 
4.4%
Latin 354
 
1.7%
Han 5
 
< 0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1225
 
6.4%
1163
 
6.1%
878
 
4.6%
874
 
4.5%
483
 
2.5%
454
 
2.4%
447
 
2.3%
402
 
2.1%
326
 
1.7%
307
 
1.6%
Other values (682) 12656
65.9%
Latin
ValueCountFrequency (%)
O 26
 
7.3%
B 25
 
7.1%
M 23
 
6.5%
S 18
 
5.1%
I 16
 
4.5%
A 14
 
4.0%
R 13
 
3.7%
e 13
 
3.7%
o 12
 
3.4%
N 12
 
3.4%
Other values (41) 182
51.4%
Common
ValueCountFrequency (%)
376
41.6%
0 90
 
10.0%
) 81
 
9.0%
( 81
 
9.0%
2 70
 
7.7%
. 47
 
5.2%
7 39
 
4.3%
8 38
 
4.2%
1 35
 
3.9%
3 8
 
0.9%
Other values (10) 39
 
4.3%
Han
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Greek
ValueCountFrequency (%)
Ι 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19215
93.8%
ASCII 1246
 
6.1%
Number Forms 9
 
< 0.1%
CJK 4
 
< 0.1%
None 3
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1225
 
6.4%
1163
 
6.1%
878
 
4.6%
874
 
4.5%
483
 
2.5%
454
 
2.4%
447
 
2.3%
402
 
2.1%
326
 
1.7%
307
 
1.6%
Other values (682) 12656
65.9%
ASCII
ValueCountFrequency (%)
376
30.2%
0 90
 
7.2%
) 81
 
6.5%
( 81
 
6.5%
2 70
 
5.6%
. 47
 
3.8%
7 39
 
3.1%
8 38
 
3.0%
1 35
 
2.8%
O 26
 
2.1%
Other values (56) 363
29.1%
Number Forms
ValueCountFrequency (%)
6
66.7%
3
33.3%
None
ValueCountFrequency (%)
Ι 1
33.3%
1
33.3%
° 1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
CJK
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Math Operators
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

Distinct3137
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0097544 × 1013
Minimum1.9990303 × 1013
Maximum2.0210129 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.0 KiB
2024-04-16T21:54:13.103581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9990303 × 1013
5-th percentile2.0010803 × 1013
Q12.0020826 × 1013
median2.0081119 × 1013
Q32.0180213 × 1013
95-th percentile2.0200918 × 1013
Maximum2.0210129 × 1013
Range2.1982617 × 1011
Interquartile range (IQR)1.5938714 × 1011

Descriptive statistics

Standard deviation7.5513946 × 1010
Coefficient of variation (CV)0.0037573719
Kurtosis-1.6698167
Mean2.0097544 × 1013
Median Absolute Deviation (MAD)6.9691061 × 1010
Skewness0.1511246
Sum9.8055915 × 1016
Variance5.7023561 × 1021
MonotonicityNot monotonic
2024-04-16T21:54:13.208423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020826000000 71
 
1.5%
20070430000000 69
 
1.4%
20040324000000 67
 
1.4%
20031215000000 60
 
1.2%
20010803000000 59
 
1.2%
20040426000000 58
 
1.2%
20030506000000 49
 
1.0%
20010820000000 44
 
0.9%
20030106000000 43
 
0.9%
20011112000000 43
 
0.9%
Other values (3127) 4316
88.5%
ValueCountFrequency (%)
19990303000000 14
0.3%
19990304000000 3
 
0.1%
19990305000000 12
0.2%
19990322000000 4
 
0.1%
19990323000000 2
 
< 0.1%
19990324000000 2
 
< 0.1%
19990329000000 3
 
0.1%
19990330000000 1
 
< 0.1%
19990406000000 5
 
0.1%
19990409000000 1
 
< 0.1%
ValueCountFrequency (%)
20210129170639 1
< 0.1%
20210129163712 1
< 0.1%
20210129151422 1
< 0.1%
20210128163018 1
< 0.1%
20210128161531 1
< 0.1%
20210127205152 1
< 0.1%
20210127091130 1
< 0.1%
20210126170926 1
< 0.1%
20210126105521 1
< 0.1%
20210125170122 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
I
3847 
U
1032 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3847
78.8%
U 1032
 
21.2%

Length

2024-04-16T21:54:13.310176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:54:13.398804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3847
78.8%
u 1032
 
21.2%
Distinct459
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-31 02:40:00
2024-04-16T21:54:13.479378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T21:54:13.580992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
단란주점
4879 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단란주점 4879
100.0%

Length

2024-04-16T21:54:13.688193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:54:13.756496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단란주점 4879
100.0%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct3690
Distinct (%)78.9%
Missing200
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean387644.45
Minimum366890.21
Maximum403228.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.0 KiB
2024-04-16T21:54:13.837079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366890.21
5-th percentile379544.09
Q1384431.05
median387557.05
Q3391010.2
95-th percentile396944.54
Maximum403228.83
Range36338.619
Interquartile range (IQR)6579.1535

Descriptive statistics

Standard deviation5047.8699
Coefficient of variation (CV)0.013021907
Kurtosis0.11882155
Mean387644.45
Median Absolute Deviation (MAD)3206.2225
Skewness0.23016606
Sum1.8137884 × 109
Variance25480991
MonotonicityNot monotonic
2024-04-16T21:54:13.945886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
380673.108350478 7
 
0.1%
398201.868294603 6
 
0.1%
397253.359801093 6
 
0.1%
392621.340936598 5
 
0.1%
393101.663017873 5
 
0.1%
388542.948456924 5
 
0.1%
398209.525948624 5
 
0.1%
396415.054631606 5
 
0.1%
384350.828534417 5
 
0.1%
391765.962274389 5
 
0.1%
Other values (3680) 4625
94.8%
(Missing) 200
 
4.1%
ValueCountFrequency (%)
366890.211030714 1
 
< 0.1%
371179.51398421 1
 
< 0.1%
371181.352545926 1
 
< 0.1%
371268.326316118 1
 
< 0.1%
373506.567424228 3
0.1%
373507.648939183 2
< 0.1%
373510.894532737 1
 
< 0.1%
373511.825122965 1
 
< 0.1%
373570.222207964 1
 
< 0.1%
373925.111972629 2
< 0.1%
ValueCountFrequency (%)
403228.830281258 3
0.1%
403222.018580983 1
 
< 0.1%
403220.86243484 1
 
< 0.1%
403200.483344319 1
 
< 0.1%
403196.769858674 1
 
< 0.1%
403172.076097548 1
 
< 0.1%
403141.875625431 1
 
< 0.1%
403137.604587263 1
 
< 0.1%
402719.901638477 1
 
< 0.1%
402710.478347136 1
 
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct3690
Distinct (%)78.9%
Missing200
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean186347.44
Minimum174601.92
Maximum205071.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.0 KiB
2024-04-16T21:54:14.056824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174601.92
5-th percentile179139.65
Q1181420.1
median186361.1
Q3190950.66
95-th percentile194088.23
Maximum205071.33
Range30469.413
Interquartile range (IQR)9530.5644

Descriptive statistics

Standard deviation5161.6617
Coefficient of variation (CV)0.027699129
Kurtosis-0.62544415
Mean186347.44
Median Absolute Deviation (MAD)4716.1315
Skewness0.14984824
Sum8.7191966 × 108
Variance26642751
MonotonicityNot monotonic
2024-04-16T21:54:14.162378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186936.559537379 7
 
0.1%
187924.572584588 6
 
0.1%
186877.873640825 6
 
0.1%
185352.56700556 5
 
0.1%
186009.733234211 5
 
0.1%
191795.5678711 5
 
0.1%
187911.687753972 5
 
0.1%
186651.895719198 5
 
0.1%
179194.634908844 5
 
0.1%
192612.557365805 5
 
0.1%
Other values (3680) 4625
94.8%
(Missing) 200
 
4.1%
ValueCountFrequency (%)
174601.916025821 1
< 0.1%
174641.982653379 1
< 0.1%
174657.566707169 1
< 0.1%
174684.587801639 1
< 0.1%
174736.309852383 1
< 0.1%
174740.161894049 1
< 0.1%
174752.923485834 1
< 0.1%
174762.033933042 1
< 0.1%
174773.34037535 1
< 0.1%
174776.003183495 1
< 0.1%
ValueCountFrequency (%)
205071.329345044 1
 
< 0.1%
204718.966111877 1
 
< 0.1%
204697.370631599 1
 
< 0.1%
204693.184874424 1
 
< 0.1%
204692.671116438 1
 
< 0.1%
204661.761497689 1
 
< 0.1%
204548.162416784 1
 
< 0.1%
204541.519769453 3
0.1%
199379.221336108 1
 
< 0.1%
199360.414323625 1
 
< 0.1%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
단란주점
4879 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단란주점 4879
100.0%

Length

2024-04-16T21:54:14.263492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:54:14.347576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단란주점 4879
100.0%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
0
3080 
<NA>
1383 
1
411 
2
 
4
5
 
1

Length

Max length4
Median length1
Mean length1.8503792
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3080
63.1%
<NA> 1383
28.3%
1 411
 
8.4%
2 4
 
0.1%
5 1
 
< 0.1%

Length

2024-04-16T21:54:14.445805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:54:14.546062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3080
63.1%
na 1383
28.3%
1 411
 
8.4%
2 4
 
0.1%
5 1
 
< 0.1%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.3%
Missing1386
Missing (%)28.4%
Infinite0
Infinite (%)0.0%
Mean0.1460063
Minimum0
Maximum15
Zeros3065
Zeros (%)62.8%
Negative0
Negative (%)0.0%
Memory size43.0 KiB
2024-04-16T21:54:14.875903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.55135384
Coefficient of variation (CV)3.7762333
Kurtosis291.67598
Mean0.1460063
Median Absolute Deviation (MAD)0
Skewness13.259579
Sum510
Variance0.30399106
MonotonicityNot monotonic
2024-04-16T21:54:14.959483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 3065
62.8%
1 390
 
8.0%
2 31
 
0.6%
3 2
 
< 0.1%
8 1
 
< 0.1%
11 1
 
< 0.1%
15 1
 
< 0.1%
5 1
 
< 0.1%
13 1
 
< 0.1%
(Missing) 1386
28.4%
ValueCountFrequency (%)
0 3065
62.8%
1 390
 
8.0%
2 31
 
0.6%
3 2
 
< 0.1%
5 1
 
< 0.1%
8 1
 
< 0.1%
11 1
 
< 0.1%
13 1
 
< 0.1%
15 1
 
< 0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
13 1
 
< 0.1%
11 1
 
< 0.1%
8 1
 
< 0.1%
5 1
 
< 0.1%
3 2
 
< 0.1%
2 31
 
0.6%
1 390
 
8.0%
0 3065
62.8%
Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
기타
3080 
유흥업소밀집지역
793 
<NA>
753 
학교정화(상대)
 
130
주택가주변
 
109
Other values (3)
 
14

Length

Max length8
Median length2
Mean length3.5226481
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 3080
63.1%
유흥업소밀집지역 793
 
16.3%
<NA> 753
 
15.4%
학교정화(상대) 130
 
2.7%
주택가주변 109
 
2.2%
아파트지역 7
 
0.1%
결혼예식장주변 5
 
0.1%
학교정화(절대) 2
 
< 0.1%

Length

2024-04-16T21:54:15.062420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:54:15.148992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 3080
63.1%
유흥업소밀집지역 793
 
16.3%
na 753
 
15.4%
학교정화(상대 130
 
2.7%
주택가주변 109
 
2.2%
아파트지역 7
 
0.1%
결혼예식장주변 5
 
0.1%
학교정화(절대 2
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
기타
3378 
<NA>
1127 
자율
345 
지도
 
14
우수
 
11

Length

Max length4
Median length2
Mean length2.4619799
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 3378
69.2%
<NA> 1127
 
23.1%
자율 345
 
7.1%
지도 14
 
0.3%
우수 11
 
0.2%
관리 4
 
0.1%

Length

2024-04-16T21:54:15.253385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:54:15.339454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 3378
69.2%
na 1127
 
23.1%
자율 345
 
7.1%
지도 14
 
0.3%
우수 11
 
0.2%
관리 4
 
0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
<NA>
3434 
상수도전용
1439 
상수도(음용)지하수(주방용)겸용
 
2
지하수전용
 
2
간이상수도
 
1

Length

Max length19
Median length4
Mean length4.3039557
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3434
70.4%
상수도전용 1439
29.5%
상수도(음용)지하수(주방용)겸용 2
 
< 0.1%
지하수전용 2
 
< 0.1%
간이상수도 1
 
< 0.1%
전용상수도(특정시설의 자가용 수도) 1
 
< 0.1%

Length

2024-04-16T21:54:15.432942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:54:15.518285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3434
70.4%
상수도전용 1439
29.5%
상수도(음용)지하수(주방용)겸용 2
 
< 0.1%
지하수전용 2
 
< 0.1%
간이상수도 1
 
< 0.1%
전용상수도(특정시설의 1
 
< 0.1%
자가용 1
 
< 0.1%
수도 1
 
< 0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4879
Missing (%)100.0%
Memory size43.0 KiB

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
<NA>
4877 
0
 
2

Length

Max length4
Median length4
Mean length3.9987702
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> 4877
> 99.9%
0 2
 
< 0.1%

Length

2024-04-16T21:54:15.613315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:54:15.686925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4877
> 99.9%
0 2
 
< 0.1%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
<NA>
4877 
0
 
2

Length

Max length4
Median length4
Mean length3.9987702
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> 4877
> 99.9%
0 2
 
< 0.1%

Length

2024-04-16T21:54:15.766610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:54:15.839512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4877
> 99.9%
0 2
 
< 0.1%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
<NA>
4877 
0
 
2

Length

Max length4
Median length4
Mean length3.9987702
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> 4877
> 99.9%
0 2
 
< 0.1%

Length

2024-04-16T21:54:15.931591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:54:16.014054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4877
> 99.9%
0 2
 
< 0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
<NA>
4877 
0
 
2

Length

Max length4
Median length4
Mean length3.9987702
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> 4877
> 99.9%
0 2
 
< 0.1%

Length

2024-04-16T21:54:16.101825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:54:16.174662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4877
> 99.9%
0 2
 
< 0.1%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4879
Missing (%)100.0%
Memory size43.0 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
<NA>
4877 
0
 
2

Length

Max length4
Median length4
Mean length3.9987702
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> 4877
> 99.9%
0 2
 
< 0.1%

Length

2024-04-16T21:54:16.253453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:54:16.325533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4877
> 99.9%
0 2
 
< 0.1%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.2 KiB
<NA>
4877 
0
 
2

Length

Max length4
Median length4
Mean length3.9987702
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> 4877
> 99.9%
0 2
 
< 0.1%

Length

2024-04-16T21:54:16.407024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:54:16.480016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4877
> 99.9%
0 2
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
False
3742 
True
1137 
ValueCountFrequency (%)
False 3742
76.7%
True 1137
 
23.3%
2024-04-16T21:54:16.537508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct3467
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.379871
Minimum0
Maximum2146.75
Zeros544
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size43.0 KiB
2024-04-16T21:54:16.639657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q149.445
median78.14
Q3107.745
95-th percentile143.671
Maximum2146.75
Range2146.75
Interquartile range (IQR)58.3

Descriptive statistics

Standard deviation71.210568
Coefficient of variation (CV)0.88592538
Kurtosis298.22592
Mean80.379871
Median Absolute Deviation (MAD)29.15
Skewness12.446328
Sum392173.39
Variance5070.945
MonotonicityNot monotonic
2024-04-16T21:54:16.755359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 544
 
11.1%
52.0 5
 
0.1%
61.6 5
 
0.1%
140.0 5
 
0.1%
87.0 5
 
0.1%
59.0 5
 
0.1%
72.0 5
 
0.1%
75.0 5
 
0.1%
63.0 5
 
0.1%
43.8 4
 
0.1%
Other values (3457) 4291
87.9%
ValueCountFrequency (%)
0.0 544
11.1%
8.96 1
 
< 0.1%
11.6 1
 
< 0.1%
12.8 1
 
< 0.1%
13.0 1
 
< 0.1%
13.13 1
 
< 0.1%
13.8 1
 
< 0.1%
13.92 1
 
< 0.1%
14.0 1
 
< 0.1%
14.06 1
 
< 0.1%
ValueCountFrequency (%)
2146.75 1
< 0.1%
1864.47 1
< 0.1%
1718.22 1
< 0.1%
1080.64 1
< 0.1%
832.08 1
< 0.1%
734.08 1
< 0.1%
673.26 1
< 0.1%
644.0 1
< 0.1%
618.3 1
< 0.1%
560.73 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4879
Missing (%)100.0%
Memory size43.0 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4879
Missing (%)100.0%
Memory size43.0 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4879
Missing (%)100.0%
Memory size43.0 KiB

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4879
Missing (%)100.0%
Memory size43.0 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
01단란주점영업07_23_01_P32700003270000-103-1994-0055919940331<NA>3폐업2폐업19960402<NA><NA><NA>05162.21601839부산광역시 동구 초량동 1204-15번지<NA><NA>체리20030506000000I2018-08-31 23:59:59.0단란주점385925.980954181293.636382단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N62.21<NA><NA><NA><NA>
12단란주점영업07_23_01_P32700003270000-103-1994-0055719940331<NA>3폐업2폐업19941101<NA><NA><NA>05124.96601808부산광역시 동구 범일동 830-265번지<NA><NA>동해꼬지구이20010820000000I2018-08-31 23:59:59.0단란주점387727.141394184100.953585단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N24.96<NA><NA><NA><NA>
23단란주점영업07_23_01_P32700003270000-103-1994-0066119940309<NA>3폐업2폐업19950517<NA><NA><NA><NA>77.50601806부산광역시 동구 범일동 579-2번지<NA><NA>큐가요반주20030506000000I2018-08-31 23:59:59.0단란주점387819.52044184014.830788단란주점00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N77.5<NA><NA><NA><NA>
34단란주점영업07_23_01_P32700003270000-103-1994-0055419940309<NA>3폐업2폐업19950517<NA><NA><NA>051.00601806부산광역시 동구 범일동 579-2번지<NA><NA>가요반주20030711000000I2018-08-31 23:59:59.0단란주점387819.52044184014.830788단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
45단란주점영업07_23_01_P32700003270000-103-1994-0055519940309<NA>3폐업2폐업20061211<NA><NA><NA>05132.50601812부산광역시 동구 수정동 253-1번지<NA><NA>아성단란주점20040611000000I2018-08-31 23:59:59.0단란주점386513.779863183032.380036단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N32.5<NA><NA><NA><NA>
56단란주점영업07_23_01_P32700003270000-103-1994-0054919940228<NA>3폐업2폐업19941123<NA><NA><NA>051138.72601836부산광역시 동구 초량동 1152-1번지<NA><NA>코리아20030506000000I2018-08-31 23:59:59.0단란주점386410.615099182607.916566단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N138.72<NA><NA><NA><NA>
67단란주점영업07_23_01_P32700003270000-103-1993-0061619931209<NA>3폐업2폐업19960221<NA><NA><NA>05129.14601808부산광역시 동구 범일동 830-187번지<NA><NA>동성20030506000000I2018-08-31 23:59:59.0단란주점387803.448866184265.725827단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N29.14<NA><NA><NA><NA>
78단란주점영업07_23_01_P32700003270000-103-1993-0061519931209<NA>3폐업2폐업20020417<NA><NA><NA>051 646670843.80601808부산광역시 동구 범일동 830-187번지<NA><NA>옵션20010820000000I2018-08-31 23:59:59.0단란주점387803.448866184265.725827단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N43.8<NA><NA><NA><NA>
89단란주점영업07_23_01_P32700003270000-103-1993-0061419931206<NA>3폐업2폐업20041229<NA><NA><NA>051 4655849131.23601812부산광역시 동구 수정동 116-5번지<NA><NA>필단란주점20030506000000I2018-08-31 23:59:59.0단란주점<NA><NA>단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N131.23<NA><NA><NA><NA>
910단란주점영업07_23_01_P32700003270000-103-1993-0061319931203<NA>3폐업2폐업19940614<NA><NA><NA>05131.26601010부산광역시 동구 초량동 23-1번지 , 638-9<NA><NA>신바람가요방20010820000000I2018-08-31 23:59:59.0단란주점385915.172121182322.115568단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N31.26<NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
48694870단란주점영업07_23_01_P32700003270000-103-1995-0067119950714<NA>1영업/정상1영업<NA><NA><NA><NA>05150.64601812부산광역시 동구 수정동 256-3번지부산광역시 동구 고관로 115 (수정동)48781환타지아20190708160559U2019-07-10 02:40:00.0단란주점386472.423035183013.887509단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y50.64<NA><NA><NA><NA>
48704871단란주점영업07_23_01_P32700003270000-103-1995-0066419950517<NA>1영업/정상1영업<NA><NA><NA><NA>051 466277337.62601812부산광역시 동구 수정동 210-3 213-3부산광역시 동구 진성로9번길 10 (수정동,213-3)48788제이 노래방주점20200922203317U2020-09-24 02:40:00.0단란주점386598.304328183071.695168단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y37.62<NA><NA><NA><NA>
48714872단란주점영업07_23_01_P32700003270000-103-1995-0064919950410<NA>1영업/정상1영업<NA><NA><NA><NA>051 6354321107.00601807부산광역시 동구 범일동 830-28번지부산광역시 동구 범일로102번길 16-3 (범일동)48744동경가요반주20180126133733I2018-08-31 23:59:59.0단란주점387797.795404184135.466153단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y107.0<NA><NA><NA><NA>
48724873단란주점영업07_23_01_P32700003270000-103-1995-0064719950331<NA>1영업/정상1영업<NA><NA><NA><NA>051 634585721.00601800부산광역시 동구 범일동 28-4번지부산광역시 동구 중앙대로533번길 6 (범일동)48722텍사스20180227141603I2018-08-31 23:59:59.0단란주점387312.964096184365.247481단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y21.0<NA><NA><NA><NA>
48734874단란주점영업07_23_01_P32700003270000-103-1994-0063119940910<NA>1영업/정상1영업<NA><NA><NA><NA>051 464338971.34601838부산광역시 동구 초량동 1197-4부산광역시 동구 중앙대로226번길 7-7 (초량동)48733비엔나20200914151252U2020-09-16 02:40:00.0단란주점386082.278888181713.648235단란주점00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y71.34<NA><NA><NA><NA>
48744875단란주점영업07_23_01_P32700003270000-103-1994-0065919940830<NA>1영업/정상1영업<NA><NA><NA><NA>051 467416797.02601812부산광역시 동구 수정동 229-6번지부산광역시 동구 중앙대로 393 (수정동)48775좋은사람들20180227141644I2018-08-31 23:59:59.0단란주점386767.45564183154.499259단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y97.02<NA><NA><NA><NA>
48754876단란주점영업07_23_01_P32700003270000-103-1994-0065419940729<NA>1영업/정상1영업<NA><NA><NA><NA>051 645318542.48601803부산광역시 동구 범일동 657-6번지 936-2부산광역시 동구 범일로89번길 27 (범일동,936-2)48735스타문20180227141820I2018-08-31 23:59:59.0단란주점387553.571185184132.249529단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y42.48<NA><NA><NA><NA>
48764877단란주점영업07_23_01_P32700003270000-103-1994-0060319940715<NA>1영업/정상1영업<NA><NA><NA><NA>05139.40601818부산광역시 동구 수정동 842-12번지부산광역시 동구 수정로 18 (수정동)4878220180227141917I2018-08-31 23:59:59.0단란주점386349.266032182895.590161단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y39.4<NA><NA><NA><NA>
48774878단란주점영업07_23_01_P32700003270000-103-1995-0064319950214<NA>1영업/정상1영업<NA><NA><NA><NA>051 442478850.50601030부산광역시 동구 수정동 227-52번지 ,59,61부산광역시 동구 고관로 142 (수정동)48775코코20180227141623I2018-08-31 23:59:59.0단란주점386671.828195183171.735215단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y50.5<NA><NA><NA><NA>
48784879단란주점영업07_23_01_P32700003270000-103-1994-0060019940714<NA>1영업/정상1영업<NA><NA><NA><NA>051 466117059.75601828부산광역시 동구 초량동 172-24번지부산광역시 동구 중앙대로 243-8 (초량동)48798스타20171127131602I2018-08-31 23:59:59.0단란주점386034.405665181898.158148단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y59.75<NA><NA><NA><NA>