Overview

Dataset statistics

Number of variables48
Number of observations3092
Missing cells37124
Missing cells (%)25.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory414.0 B

Variable types

Numeric12
Categorical19
Text6
Unsupported9
DateTime1
Boolean1

Dataset

Description2021-03-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123111

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
업태구분명 has constant value ""Constant
위생업태명 has constant value ""Constant
전통업소지정번호 has constant value ""Constant
남성종사자수 is highly imbalanced (57.3%)Imbalance
영업장주변구분명 is highly imbalanced (52.2%)Imbalance
등급구분명 is highly imbalanced (57.0%)Imbalance
본사종업원수 is highly imbalanced (98.3%)Imbalance
공장사무직종업원수 is highly imbalanced (98.3%)Imbalance
공장판매직종업원수 is highly imbalanced (98.3%)Imbalance
공장생산직종업원수 is highly imbalanced (98.3%)Imbalance
보증액 is highly imbalanced (98.3%)Imbalance
월세액 is highly imbalanced (98.3%)Imbalance
다중이용업소여부 is highly imbalanced (88.3%)Imbalance
인허가취소일자 has 3092 (100.0%) missing valuesMissing
폐업일자 has 1171 (37.9%) missing valuesMissing
휴업시작일자 has 3092 (100.0%) missing valuesMissing
휴업종료일자 has 3092 (100.0%) missing valuesMissing
재개업일자 has 3092 (100.0%) missing valuesMissing
소재지전화 has 1078 (34.9%) missing valuesMissing
소재지면적 has 193 (6.2%) missing valuesMissing
소재지우편번호 has 49 (1.6%) missing valuesMissing
도로명전체주소 has 759 (24.5%) missing valuesMissing
도로명우편번호 has 789 (25.5%) missing valuesMissing
좌표정보(x) has 80 (2.6%) missing valuesMissing
좌표정보(y) has 80 (2.6%) missing valuesMissing
여성종사자수 has 1999 (64.7%) missing valuesMissing
총종업원수 has 3092 (100.0%) missing valuesMissing
건물소유구분명 has 3092 (100.0%) missing valuesMissing
전통업소지정번호 has 3091 (> 99.9%) missing valuesMissing
전통업소주된음식 has 3092 (100.0%) missing valuesMissing
홈페이지 has 3092 (100.0%) missing valuesMissing
Unnamed: 47 has 3092 (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
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 998 (32.3%) zerosZeros
시설총규모 has 224 (7.2%) zerosZeros

Reproduction

Analysis started2024-04-17 18:57:25.548995
Analysis finished2024-04-17 18:57:26.751356
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3092
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1546.5
Minimum1
Maximum3092
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.3 KiB
2024-04-18T03:57:26.804052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile155.55
Q1773.75
median1546.5
Q32319.25
95-th percentile2937.45
Maximum3092
Range3091
Interquartile range (IQR)1545.5

Descriptive statistics

Standard deviation892.72784
Coefficient of variation (CV)0.57725693
Kurtosis-1.2
Mean1546.5
Median Absolute Deviation (MAD)773
Skewness0
Sum4781778
Variance796963
MonotonicityStrictly increasing
2024-04-18T03:57:26.907149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2032 1
 
< 0.1%
2058 1
 
< 0.1%
2059 1
 
< 0.1%
2060 1
 
< 0.1%
2061 1
 
< 0.1%
2062 1
 
< 0.1%
2063 1
 
< 0.1%
2064 1
 
< 0.1%
2065 1
 
< 0.1%
Other values (3082) 3082
99.7%
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 (%)
3092 1
< 0.1%
3091 1
< 0.1%
3090 1
< 0.1%
3089 1
< 0.1%
3088 1
< 0.1%
3087 1
< 0.1%
3086 1
< 0.1%
3085 1
< 0.1%
3084 1
< 0.1%
3083 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
제과점영업
3092 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 3092
100.0%

Length

2024-04-18T03:57:27.005998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:57:27.074147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 3092
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
07_22_18_P
3092 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_18_P
2nd row07_22_18_P
3rd row07_22_18_P
4th row07_22_18_P
5th row07_22_18_P

Common Values

ValueCountFrequency (%)
07_22_18_P 3092
100.0%

Length

2024-04-18T03:57:27.144568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:57:27.214074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_18_p 3092
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3327784.6
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.3 KiB
2024-04-18T03:57:27.279133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13300000
median3330000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation39023.691
Coefficient of variation (CV)0.011726628
Kurtosis-0.73992476
Mean3327784.6
Median Absolute Deviation (MAD)30000
Skewness0.009789337
Sum1.028951 × 1010
Variance1.5228484 × 109
MonotonicityNot monotonic
2024-04-18T03:57:27.366955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 432
14.0%
3290000 325
10.5%
3300000 281
9.1%
3340000 276
8.9%
3310000 224
 
7.2%
3350000 222
 
7.2%
3370000 208
 
6.7%
3320000 205
 
6.6%
3380000 178
 
5.8%
3390000 167
 
5.4%
Other values (6) 574
18.6%
ValueCountFrequency (%)
3250000 110
 
3.6%
3260000 92
 
3.0%
3270000 93
 
3.0%
3280000 72
 
2.3%
3290000 325
10.5%
3300000 281
9.1%
3310000 224
7.2%
3320000 205
6.6%
3330000 432
14.0%
3340000 276
8.9%
ValueCountFrequency (%)
3400000 122
 
3.9%
3390000 167
 
5.4%
3380000 178
5.8%
3370000 208
6.7%
3360000 85
 
2.7%
3350000 222
7.2%
3340000 276
8.9%
3330000 432
14.0%
3320000 205
6.6%
3310000 224
7.2%

관리번호
Text

UNIQUE 

Distinct3092
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
2024-04-18T03:57:27.523497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters68024
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

Unique3092 ?
Unique (%)100.0%

Sample

1st row3250000-121-2021-00001
2nd row3330000-121-2020-00029
3rd row3330000-121-2020-00024
4th row3330000-121-2020-00028
5th row3330000-121-2020-00027
ValueCountFrequency (%)
3250000-121-2021-00001 1
 
< 0.1%
3310000-121-2014-00006 1
 
< 0.1%
3370000-121-2018-00002 1
 
< 0.1%
3330000-121-2008-00013 1
 
< 0.1%
3330000-121-2005-00012 1
 
< 0.1%
3330000-121-1993-00003 1
 
< 0.1%
3330000-121-1992-00002 1
 
< 0.1%
3330000-121-1990-00001 1
 
< 0.1%
3330000-121-1987-00001 1
 
< 0.1%
3330000-121-1986-00001 1
 
< 0.1%
Other values (3082) 3082
99.7%
2024-04-18T03:57:27.789036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27492
40.4%
1 9839
 
14.5%
- 9276
 
13.6%
2 7474
 
11.0%
3 6545
 
9.6%
9 2205
 
3.2%
4 1189
 
1.7%
5 1093
 
1.6%
8 1034
 
1.5%
7 1004
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58748
86.4%
Dash Punctuation 9276
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27492
46.8%
1 9839
 
16.7%
2 7474
 
12.7%
3 6545
 
11.1%
9 2205
 
3.8%
4 1189
 
2.0%
5 1093
 
1.9%
8 1034
 
1.8%
7 1004
 
1.7%
6 873
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 9276
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 68024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27492
40.4%
1 9839
 
14.5%
- 9276
 
13.6%
2 7474
 
11.0%
3 6545
 
9.6%
9 2205
 
3.2%
4 1189
 
1.7%
5 1093
 
1.6%
8 1034
 
1.5%
7 1004
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27492
40.4%
1 9839
 
14.5%
- 9276
 
13.6%
2 7474
 
11.0%
3 6545
 
9.6%
9 2205
 
3.2%
4 1189
 
1.7%
5 1093
 
1.6%
8 1034
 
1.5%
7 1004
 
1.5%

인허가일자
Real number (ℝ)

Distinct2429
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20073965
Minimum19631010
Maximum20210129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.3 KiB
2024-04-18T03:57:27.900583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19631010
5-th percentile19870713
Q120011180
median20100212
Q320151216
95-th percentile20191212
Maximum20210129
Range579119
Interquartile range (IQR)140036.5

Descriptive statistics

Standard deviation101318.59
Coefficient of variation (CV)0.0050472635
Kurtosis0.6631213
Mean20073965
Median Absolute Deviation (MAD)60890.5
Skewness-0.98757699
Sum6.20687 × 1010
Variance1.0265457 × 1010
MonotonicityNot monotonic
2024-04-18T03:57:28.001257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090212 9
 
0.3%
20140410 6
 
0.2%
20181002 6
 
0.2%
20100531 5
 
0.2%
20101027 5
 
0.2%
20090120 5
 
0.2%
20190207 4
 
0.1%
20110314 4
 
0.1%
20030701 4
 
0.1%
20110822 4
 
0.1%
Other values (2419) 3040
98.3%
ValueCountFrequency (%)
19631010 2
0.1%
19651024 1
 
< 0.1%
19660916 1
 
< 0.1%
19680422 3
0.1%
19680716 1
 
< 0.1%
19691007 1
 
< 0.1%
19701031 1
 
< 0.1%
19711230 1
 
< 0.1%
19721220 1
 
< 0.1%
19730303 1
 
< 0.1%
ValueCountFrequency (%)
20210129 1
 
< 0.1%
20210127 1
 
< 0.1%
20210126 3
0.1%
20210122 2
0.1%
20210115 1
 
< 0.1%
20210112 1
 
< 0.1%
20210108 1
 
< 0.1%
20210107 1
 
< 0.1%
20210106 1
 
< 0.1%
20201231 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3092
Missing (%)100.0%
Memory size27.3 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
3
1921 
1
1171 

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 1921
62.1%
1 1171
37.9%

Length

2024-04-18T03:57:28.104101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:57:28.208247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1921
62.1%
1 1171
37.9%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
폐업
1921 
영업/정상
1171 

Length

Max length5
Median length2
Mean length3.1361578
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1921
62.1%
영업/정상 1171
37.9%

Length

2024-04-18T03:57:28.295846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:57:28.373648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1921
62.1%
영업/정상 1171
37.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
2
1921 
1
1171 

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 1921
62.1%
1 1171
37.9%

Length

2024-04-18T03:57:28.469283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:57:28.556785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1921
62.1%
1 1171
37.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
폐업
1921 
영업
1171 

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 1921
62.1%
영업 1171
37.9%

Length

2024-04-18T03:57:28.630563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:57:28.701817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1921
62.1%
영업 1171
37.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct1355
Distinct (%)70.5%
Missing1171
Missing (%)37.9%
Infinite0
Infinite (%)0.0%
Mean20135318
Minimum19950703
Maximum20210128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.3 KiB
2024-04-18T03:57:28.787869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950703
5-th percentile20060412
Q120100503
median20140117
Q320171110
95-th percentile20200427
Maximum20210128
Range259425
Interquartile range (IQR)70607

Descriptive statistics

Standard deviation44838.579
Coefficient of variation (CV)0.0022268622
Kurtosis-1.0132011
Mean20135318
Median Absolute Deviation (MAD)39307
Skewness-0.22876875
Sum3.8679946 × 1010
Variance2.0104982 × 109
MonotonicityNot monotonic
2024-04-18T03:57:28.917710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20060216 31
 
1.0%
20170131 24
 
0.8%
20181220 16
 
0.5%
20060412 15
 
0.5%
20130607 14
 
0.5%
20130409 11
 
0.4%
20170321 9
 
0.3%
20130614 9
 
0.3%
20070126 7
 
0.2%
20140630 6
 
0.2%
Other values (1345) 1779
57.5%
(Missing) 1171
37.9%
ValueCountFrequency (%)
19950703 1
< 0.1%
19991221 1
< 0.1%
20050114 1
< 0.1%
20050805 1
< 0.1%
20050818 1
< 0.1%
20050920 1
< 0.1%
20050922 1
< 0.1%
20050930 1
< 0.1%
20051004 1
< 0.1%
20051027 1
< 0.1%
ValueCountFrequency (%)
20210128 1
 
< 0.1%
20210127 1
 
< 0.1%
20210125 1
 
< 0.1%
20210122 1
 
< 0.1%
20210119 1
 
< 0.1%
20210113 1
 
< 0.1%
20210111 1
 
< 0.1%
20210108 1
 
< 0.1%
20210106 1
 
< 0.1%
20210104 5
0.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3092
Missing (%)100.0%
Memory size27.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3092
Missing (%)100.0%
Memory size27.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3092
Missing (%)100.0%
Memory size27.3 KiB

소재지전화
Text

MISSING 

Distinct1771
Distinct (%)87.9%
Missing1078
Missing (%)34.9%
Memory size24.3 KiB
2024-04-18T03:57:29.157387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.691658
Min length3

Characters and Unicode

Total characters21533
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

Unique1702 ?
Unique (%)84.5%

Sample

1st row051 6111161
2nd row051 203 2013
3rd row051 6241010
4th row051 997 5515
5th row051 628 0915
ValueCountFrequency (%)
051 1785
39.1%
070 44
 
1.0%
02 20
 
0.4%
727 20
 
0.4%
728 12
 
0.3%
242 11
 
0.2%
203 10
 
0.2%
255 10
 
0.2%
330 9
 
0.2%
722 9
 
0.2%
Other values (1985) 2630
57.7%
2024-04-18T03:57:29.522040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3536
16.4%
5 3455
16.0%
1 3145
14.6%
2577
12.0%
2 1750
8.1%
7 1328
 
6.2%
3 1293
 
6.0%
8 1266
 
5.9%
6 1170
 
5.4%
4 1165
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18956
88.0%
Space Separator 2577
 
12.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3536
18.7%
5 3455
18.2%
1 3145
16.6%
2 1750
9.2%
7 1328
 
7.0%
3 1293
 
6.8%
8 1266
 
6.7%
6 1170
 
6.2%
4 1165
 
6.1%
9 848
 
4.5%
Space Separator
ValueCountFrequency (%)
2577
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21533
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3536
16.4%
5 3455
16.0%
1 3145
14.6%
2577
12.0%
2 1750
8.1%
7 1328
 
6.2%
3 1293
 
6.0%
8 1266
 
5.9%
6 1170
 
5.4%
4 1165
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21533
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3536
16.4%
5 3455
16.0%
1 3145
14.6%
2577
12.0%
2 1750
8.1%
7 1328
 
6.2%
3 1293
 
6.0%
8 1266
 
5.9%
6 1170
 
5.4%
4 1165
 
5.4%

소재지면적
Real number (ℝ)

MISSING 

Distinct2112
Distinct (%)72.9%
Missing193
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean53.359258
Minimum0
Maximum780.5
Zeros21
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size27.3 KiB
2024-04-18T03:57:29.637095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q124.075
median39.16
Q365.825
95-th percentile138.677
Maximum780.5
Range780.5
Interquartile range (IQR)41.75

Descriptive statistics

Standard deviation53.258519
Coefficient of variation (CV)0.99811206
Kurtosis42.551913
Mean53.359258
Median Absolute Deviation (MAD)18.37
Skewness4.6824325
Sum154688.49
Variance2836.4699
MonotonicityNot monotonic
2024-04-18T03:57:29.744722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
0.7%
33.0 18
 
0.6%
24.0 17
 
0.5%
20.0 12
 
0.4%
42.0 11
 
0.4%
36.0 11
 
0.4%
25.0 10
 
0.3%
26.0 10
 
0.3%
15.0 10
 
0.3%
30.0 10
 
0.3%
Other values (2102) 2769
89.6%
(Missing) 193
 
6.2%
ValueCountFrequency (%)
0.0 21
0.7%
0.25 1
 
< 0.1%
0.7 1
 
< 0.1%
0.9 1
 
< 0.1%
0.91 1
 
< 0.1%
1.0 5
 
0.2%
1.2 1
 
< 0.1%
1.21 2
 
0.1%
1.4 1
 
< 0.1%
1.49 1
 
< 0.1%
ValueCountFrequency (%)
780.5 1
< 0.1%
722.81 1
< 0.1%
695.26 1
< 0.1%
691.9 1
< 0.1%
605.0 1
< 0.1%
415.71 1
< 0.1%
395.77 1
< 0.1%
356.96 1
< 0.1%
335.04 1
< 0.1%
322.42 1
< 0.1%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct653
Distinct (%)21.5%
Missing49
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean610907.71
Minimum600012
Maximum619953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.3 KiB
2024-04-18T03:57:29.855855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600012
5-th percentile601808.1
Q1607815
median611823
Q3614822
95-th percentile618200
Maximum619953
Range19941
Interquartile range (IQR)7007

Descriptive statistics

Standard deviation5015.312
Coefficient of variation (CV)0.0082096066
Kurtosis-0.66984144
Mean610907.71
Median Absolute Deviation (MAD)3044
Skewness-0.31442365
Sum1.8589922 × 109
Variance25153354
MonotonicityNot monotonic
2024-04-18T03:57:29.971396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
612020 94
 
3.0%
612824 30
 
1.0%
616852 28
 
0.9%
608832 27
 
0.9%
618200 26
 
0.8%
618814 25
 
0.8%
617808 25
 
0.8%
607815 24
 
0.8%
607831 23
 
0.7%
604851 23
 
0.7%
Other values (643) 2718
87.9%
(Missing) 49
 
1.6%
ValueCountFrequency (%)
600012 1
 
< 0.1%
600016 1
 
< 0.1%
600017 22
0.7%
600021 3
 
0.1%
600022 1
 
< 0.1%
600025 2
 
0.1%
600032 2
 
0.1%
600033 1
 
< 0.1%
600041 3
 
0.1%
600042 3
 
0.1%
ValueCountFrequency (%)
619953 3
 
0.1%
619952 4
 
0.1%
619951 3
 
0.1%
619913 1
 
< 0.1%
619912 8
0.3%
619911 2
 
0.1%
619906 3
 
0.1%
619905 15
0.5%
619904 1
 
< 0.1%
619903 13
0.4%

소재지전체주소
Text

Distinct2767
Distinct (%)89.7%
Missing7
Missing (%)0.2%
Memory size24.3 KiB
2024-04-18T03:57:30.242521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length50
Mean length25.211994
Min length16

Characters and Unicode

Total characters77779
Distinct characters418
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2575 ?
Unique (%)83.5%

Sample

1st row부산광역시 중구 중앙동7가 20-1 롯데백화점광복점
2nd row부산광역시 해운대구 우동 1495 신세계백화점센텀시티점
3rd row부산광역시 해운대구 우동 1500 벡스코
4th row부산광역시 해운대구 우동 1495 신세계백화점센텀시티점
5th row부산광역시 해운대구 우동 1495 신세계백화점센텀시티점
ValueCountFrequency (%)
부산광역시 3085
 
21.2%
해운대구 431
 
3.0%
부산진구 325
 
2.2%
동래구 281
 
1.9%
사하구 274
 
1.9%
남구 224
 
1.5%
금정구 222
 
1.5%
연제구 208
 
1.4%
북구 204
 
1.4%
수영구 178
 
1.2%
Other values (3616) 9106
62.6%
2024-04-18T03:57:30.851128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11462
 
14.7%
1 4014
 
5.2%
부 3781
 
4.9%
산 3713
 
4.8%
동 3666
 
4.7%
지 3208
 
4.1%
광 3194
 
4.1%
시 3174
 
4.1%
역 3110
 
4.0%
구 3059
 
3.9%
Other values (408) 35398
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47035
60.5%
Decimal Number 15882
 
20.4%
Space Separator 11462
 
14.7%
Dash Punctuation 2592
 
3.3%
Open Punctuation 217
 
0.3%
Close Punctuation 214
 
0.3%
Uppercase Letter 180
 
0.2%
Other Punctuation 171
 
0.2%
Lowercase Letter 17
 
< 0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 3781
 
8.0%
산 3713
 
7.9%
동 3666
 
7.8%
지 3208
 
6.8%
광 3194
 
6.8%
시 3174
 
6.7%
역 3110
 
6.6%
구 3059
 
6.5%
번 2845
 
6.0%
대 765
 
1.6%
Other values (357) 16520
35.1%
Uppercase Letter
ValueCountFrequency (%)
B 34
18.9%
A 26
14.4%
S 26
14.4%
G 18
10.0%
K 15
8.3%
C 13
 
7.2%
P 6
 
3.3%
T 5
 
2.8%
L 5
 
2.8%
E 4
 
2.2%
Other values (13) 28
15.6%
Decimal Number
ValueCountFrequency (%)
1 4014
25.3%
2 2097
13.2%
3 1633
10.3%
4 1453
 
9.1%
5 1405
 
8.8%
0 1281
 
8.1%
6 1079
 
6.8%
7 1067
 
6.7%
9 948
 
6.0%
8 905
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 146
85.4%
. 12
 
7.0%
@ 8
 
4.7%
/ 3
 
1.8%
· 1
 
0.6%
: 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
e 6
35.3%
s 4
23.5%
l 3
17.6%
k 3
17.6%
i 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 216
99.5%
[ 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 213
99.5%
] 1
 
0.5%
Space Separator
ValueCountFrequency (%)
11462
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2592
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47035
60.5%
Common 30547
39.3%
Latin 197
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 3781
 
8.0%
산 3713
 
7.9%
동 3666
 
7.8%
지 3208
 
6.8%
광 3194
 
6.8%
시 3174
 
6.7%
역 3110
 
6.6%
구 3059
 
6.5%
번 2845
 
6.0%
대 765
 
1.6%
Other values (357) 16520
35.1%
Latin
ValueCountFrequency (%)
B 34
17.3%
A 26
13.2%
S 26
13.2%
G 18
9.1%
K 15
 
7.6%
C 13
 
6.6%
P 6
 
3.0%
e 6
 
3.0%
T 5
 
2.5%
L 5
 
2.5%
Other values (18) 43
21.8%
Common
ValueCountFrequency (%)
11462
37.5%
1 4014
 
13.1%
- 2592
 
8.5%
2 2097
 
6.9%
3 1633
 
5.3%
4 1453
 
4.8%
5 1405
 
4.6%
0 1281
 
4.2%
6 1079
 
3.5%
7 1067
 
3.5%
Other values (13) 2464
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47035
60.5%
ASCII 30743
39.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11462
37.3%
1 4014
 
13.1%
- 2592
 
8.4%
2 2097
 
6.8%
3 1633
 
5.3%
4 1453
 
4.7%
5 1405
 
4.6%
0 1281
 
4.2%
6 1079
 
3.5%
7 1067
 
3.5%
Other values (40) 2660
 
8.7%
Hangul
ValueCountFrequency (%)
부 3781
 
8.0%
산 3713
 
7.9%
동 3666
 
7.8%
지 3208
 
6.8%
광 3194
 
6.8%
시 3174
 
6.7%
역 3110
 
6.6%
구 3059
 
6.5%
번 2845
 
6.0%
대 765
 
1.6%
Other values (357) 16520
35.1%
None
ValueCountFrequency (%)
· 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2198
Distinct (%)94.2%
Missing759
Missing (%)24.5%
Memory size24.3 KiB
2024-04-18T03:57:31.193108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length58
Mean length32.339906
Min length20

Characters and Unicode

Total characters75449
Distinct characters448
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

Unique2128 ?
Unique (%)91.2%

Sample

1st row부산광역시 중구 중앙대로 2, 롯데백화점광복점 지하1층 (중앙동7가)
2nd row부산광역시 해운대구 센텀남대로 35, 신세계백화점센텀시티점 지하1층 일부호 (우동)
3rd row부산광역시 해운대구 APEC로 55, 벡스코 제1전시장 (우동)
4th row부산광역시 해운대구 센텀남대로 35, 신세계백화점센텀시티점 지하1층 일부호 (우동)
5th row부산광역시 해운대구 센텀남대로 35, 신세계백화점센텀시티점 지하1층 일부호 (우동)
ValueCountFrequency (%)
부산광역시 2333
 
16.1%
1층 604
 
4.2%
해운대구 355
 
2.5%
부산진구 247
 
1.7%
사하구 207
 
1.4%
동래구 195
 
1.3%
남구 173
 
1.2%
금정구 158
 
1.1%
우동 150
 
1.0%
북구 146
 
1.0%
Other values (2728) 9898
68.4%
2024-04-18T03:57:31.663051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12147
 
16.1%
1 3503
 
4.6%
동 3093
 
4.1%
부 2999
 
4.0%
산 2825
 
3.7%
시 2551
 
3.4%
광 2495
 
3.3%
( 2366
 
3.1%
) 2362
 
3.1%
역 2353
 
3.1%
Other values (438) 38755
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44555
59.1%
Space Separator 12147
 
16.1%
Decimal Number 11386
 
15.1%
Open Punctuation 2367
 
3.1%
Close Punctuation 2363
 
3.1%
Other Punctuation 2073
 
2.7%
Dash Punctuation 288
 
0.4%
Uppercase Letter 241
 
0.3%
Math Symbol 15
 
< 0.1%
Lowercase Letter 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3093
 
6.9%
부 2999
 
6.7%
산 2825
 
6.3%
시 2551
 
5.7%
광 2495
 
5.6%
역 2353
 
5.3%
구 2349
 
5.3%
로 2316
 
5.2%
대 1355
 
3.0%
층 1080
 
2.4%
Other values (388) 21139
47.4%
Uppercase Letter
ValueCountFrequency (%)
A 46
19.1%
B 40
16.6%
C 28
11.6%
S 26
10.8%
P 18
 
7.5%
E 18
 
7.5%
G 17
 
7.1%
K 13
 
5.4%
H 5
 
2.1%
N 4
 
1.7%
Other values (13) 26
10.8%
Decimal Number
ValueCountFrequency (%)
1 3503
30.8%
2 1603
14.1%
3 1122
 
9.9%
0 1036
 
9.1%
4 866
 
7.6%
5 822
 
7.2%
6 708
 
6.2%
7 670
 
5.9%
8 555
 
4.9%
9 501
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 2058
99.3%
. 9
 
0.4%
@ 4
 
0.2%
/ 1
 
< 0.1%
* 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 6
42.9%
s 3
21.4%
k 2
 
14.3%
l 2
 
14.3%
i 1
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 2366
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2362
> 99.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
12147
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 288
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44555
59.1%
Common 30639
40.6%
Latin 255
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3093
 
6.9%
부 2999
 
6.7%
산 2825
 
6.3%
시 2551
 
5.7%
광 2495
 
5.6%
역 2353
 
5.3%
구 2349
 
5.3%
로 2316
 
5.2%
대 1355
 
3.0%
층 1080
 
2.4%
Other values (388) 21139
47.4%
Latin
ValueCountFrequency (%)
A 46
18.0%
B 40
15.7%
C 28
11.0%
S 26
10.2%
P 18
 
7.1%
E 18
 
7.1%
G 17
 
6.7%
K 13
 
5.1%
e 6
 
2.4%
H 5
 
2.0%
Other values (18) 38
14.9%
Common
ValueCountFrequency (%)
12147
39.6%
1 3503
 
11.4%
( 2366
 
7.7%
) 2362
 
7.7%
, 2058
 
6.7%
2 1603
 
5.2%
3 1122
 
3.7%
0 1036
 
3.4%
4 866
 
2.8%
5 822
 
2.7%
Other values (12) 2754
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44555
59.1%
ASCII 30894
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12147
39.3%
1 3503
 
11.3%
( 2366
 
7.7%
) 2362
 
7.6%
, 2058
 
6.7%
2 1603
 
5.2%
3 1122
 
3.6%
0 1036
 
3.4%
4 866
 
2.8%
5 822
 
2.7%
Other values (40) 3009
 
9.7%
Hangul
ValueCountFrequency (%)
동 3093
 
6.9%
부 2999
 
6.7%
산 2825
 
6.3%
시 2551
 
5.7%
광 2495
 
5.6%
역 2353
 
5.3%
구 2349
 
5.3%
로 2316
 
5.2%
대 1355
 
3.0%
층 1080
 
2.4%
Other values (388) 21139
47.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct927
Distinct (%)40.3%
Missing789
Missing (%)25.5%
Infinite0
Infinite (%)0.0%
Mean47807.618
Minimum46002
Maximum49525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.3 KiB
2024-04-18T03:57:31.777971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46225
Q147038
median47902
Q348509.5
95-th percentile49393.5
Maximum49525
Range3523
Interquartile range (IQR)1471.5

Descriptive statistics

Standard deviation986.9726
Coefficient of variation (CV)0.020644672
Kurtosis-0.95878322
Mean47807.618
Median Absolute Deviation (MAD)720
Skewness-0.074106193
Sum1.1010094 × 108
Variance974114.92
MonotonicityNot monotonic
2024-04-18T03:57:31.883794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48058 66
 
2.1%
46726 28
 
0.9%
46291 22
 
0.7%
48944 21
 
0.7%
48735 20
 
0.6%
48515 19
 
0.6%
47285 19
 
0.6%
48060 16
 
0.5%
48059 14
 
0.5%
46015 13
 
0.4%
Other values (917) 2065
66.8%
(Missing) 789
 
25.5%
ValueCountFrequency (%)
46002 1
 
< 0.1%
46007 2
 
0.1%
46008 7
0.2%
46012 2
 
0.1%
46013 4
 
0.1%
46015 13
0.4%
46016 1
 
< 0.1%
46017 5
 
0.2%
46019 1
 
< 0.1%
46021 1
 
< 0.1%
ValueCountFrequency (%)
49525 1
 
< 0.1%
49524 2
 
0.1%
49521 1
 
< 0.1%
49520 6
0.2%
49519 8
0.3%
49518 3
 
0.1%
49515 1
 
< 0.1%
49511 2
 
0.1%
49509 1
 
< 0.1%
49505 3
 
0.1%

사업장명
Text

Distinct2501
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
2024-04-18T03:57:32.157887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length29
Mean length7.3282665
Min length2

Characters and Unicode

Total characters22659
Distinct characters684
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

Unique2220 ?
Unique (%)71.8%

Sample

1st row프띠르
2nd row더메나쥬리 센텀점
3rd row세자매바른빵
4th row움트
5th row파티세리 몽슈슈 현대백화점 판교점
ValueCountFrequency (%)
파리바게뜨 110
 
2.8%
베이커리 105
 
2.6%
뚜레쥬르 72
 
1.8%
파리바게트 49
 
1.2%
몽블랑제 37
 
0.9%
과자점 33
 
0.8%
탑베이커리 25
 
0.6%
탑스베이커리 20
 
0.5%
크라운베이커리 16
 
0.4%
프레제 16
 
0.4%
Other values (2586) 3506
87.9%
2024-04-18T03:57:32.558518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 1185
 
5.2%
점 1062
 
4.7%
897
 
4.0%
이 882
 
3.9%
베 645
 
2.8%
커 589
 
2.6%
과 456
 
2.0%
스 433
 
1.9%
제 406
 
1.8%
파 370
 
1.6%
Other values (674) 15734
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19853
87.6%
Space Separator 897
 
4.0%
Lowercase Letter 607
 
2.7%
Uppercase Letter 404
 
1.8%
Close Punctuation 336
 
1.5%
Open Punctuation 329
 
1.5%
Decimal Number 180
 
0.8%
Other Punctuation 41
 
0.2%
Dash Punctuation 7
 
< 0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 1185
 
6.0%
점 1062
 
5.3%
이 882
 
4.4%
베 645
 
3.2%
커 589
 
3.0%
과 456
 
2.3%
스 433
 
2.2%
제 406
 
2.0%
파 370
 
1.9%
레 337
 
1.7%
Other values (603) 13488
67.9%
Lowercase Letter
ValueCountFrequency (%)
e 102
16.8%
a 65
 
10.7%
o 44
 
7.2%
r 43
 
7.1%
i 42
 
6.9%
s 38
 
6.3%
n 35
 
5.8%
t 26
 
4.3%
k 25
 
4.1%
l 24
 
4.0%
Other values (15) 163
26.9%
Uppercase Letter
ValueCountFrequency (%)
B 41
 
10.1%
S 34
 
8.4%
A 31
 
7.7%
E 29
 
7.2%
R 23
 
5.7%
T 20
 
5.0%
P 20
 
5.0%
I 20
 
5.0%
O 20
 
5.0%
K 19
 
4.7%
Other values (14) 147
36.4%
Decimal Number
ValueCountFrequency (%)
2 54
30.0%
1 38
21.1%
3 22
12.2%
0 17
 
9.4%
5 14
 
7.8%
9 10
 
5.6%
7 9
 
5.0%
4 8
 
4.4%
8 6
 
3.3%
6 2
 
1.1%
Other Punctuation
ValueCountFrequency (%)
& 15
36.6%
' 10
24.4%
. 9
22.0%
, 4
 
9.8%
? 2
 
4.9%
; 1
 
2.4%
Space Separator
ValueCountFrequency (%)
897
100.0%
Close Punctuation
ValueCountFrequency (%)
) 336
100.0%
Open Punctuation
ValueCountFrequency (%)
( 329
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19848
87.6%
Common 1792
 
7.9%
Latin 1014
 
4.5%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 1185
 
6.0%
점 1062
 
5.4%
이 882
 
4.4%
베 645
 
3.2%
커 589
 
3.0%
과 456
 
2.3%
스 433
 
2.2%
제 406
 
2.0%
파 370
 
1.9%
레 337
 
1.7%
Other values (598) 13483
67.9%
Latin
ValueCountFrequency (%)
e 102
 
10.1%
a 65
 
6.4%
o 44
 
4.3%
r 43
 
4.2%
i 42
 
4.1%
B 41
 
4.0%
s 38
 
3.7%
n 35
 
3.5%
S 34
 
3.4%
A 31
 
3.1%
Other values (40) 539
53.2%
Common
ValueCountFrequency (%)
897
50.1%
) 336
 
18.8%
( 329
 
18.4%
2 54
 
3.0%
1 38
 
2.1%
3 22
 
1.2%
0 17
 
0.9%
& 15
 
0.8%
5 14
 
0.8%
' 10
 
0.6%
Other values (11) 60
 
3.3%
Han
ValueCountFrequency (%)
美 1
20.0%
年 1
20.0%
華 1
20.0%
溫 1
20.0%
情 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19848
87.6%
ASCII 2803
 
12.4%
CJK 4
 
< 0.1%
Number Forms 3
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 1185
 
6.0%
점 1062
 
5.4%
이 882
 
4.4%
베 645
 
3.2%
커 589
 
3.0%
과 456
 
2.3%
스 433
 
2.2%
제 406
 
2.0%
파 370
 
1.9%
레 337
 
1.7%
Other values (598) 13483
67.9%
ASCII
ValueCountFrequency (%)
897
32.0%
) 336
 
12.0%
( 329
 
11.7%
e 102
 
3.6%
a 65
 
2.3%
2 54
 
1.9%
o 44
 
1.6%
r 43
 
1.5%
i 42
 
1.5%
B 41
 
1.5%
Other values (60) 850
30.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%
CJK
ValueCountFrequency (%)
美 1
25.0%
華 1
25.0%
溫 1
25.0%
情 1
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
年 1
100.0%

최종수정시점
Real number (ℝ)

Distinct2849
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0137065 × 1013
Minimum1.9990303 × 1013
Maximum2.0210129 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.3 KiB
2024-04-18T03:57:32.684799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9990303 × 1013
5-th percentile2.0020802 × 1013
Q12.0097887 × 1013
median2.0151112 × 1013
Q32.0190511 × 1013
95-th percentile2.0201027 × 1013
Maximum2.0210129 × 1013
Range2.1982616 × 1011
Interquartile range (IQR)9.2623743 × 1010

Descriptive statistics

Standard deviation5.9446197 × 1010
Coefficient of variation (CV)0.0029520785
Kurtosis-0.62117075
Mean2.0137065 × 1013
Median Absolute Deviation (MAD)3.9998036 × 1010
Skewness-0.71630818
Sum6.2263806 × 1016
Variance3.5338503 × 1021
MonotonicityNot monotonic
2024-04-18T03:57:32.788410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20061226000000 26
 
0.8%
20050615000000 14
 
0.5%
20050614000000 14
 
0.5%
20040823000000 14
 
0.5%
19990318000000 14
 
0.5%
19990319000000 11
 
0.4%
20020802000000 10
 
0.3%
19990317000000 9
 
0.3%
20050909000000 8
 
0.3%
20050525000000 8
 
0.3%
Other values (2839) 2964
95.9%
ValueCountFrequency (%)
19990303000000 1
 
< 0.1%
19990315000000 6
0.2%
19990316000000 5
 
0.2%
19990317000000 9
0.3%
19990318000000 14
0.5%
19990319000000 11
0.4%
19990323000000 2
 
0.1%
19990324000000 1
 
< 0.1%
19990511000000 4
 
0.1%
19990520000000 1
 
< 0.1%
ValueCountFrequency (%)
20210129160404 1
< 0.1%
20210129120401 1
< 0.1%
20210129103413 1
< 0.1%
20210129041509 1
< 0.1%
20210128135506 1
< 0.1%
20210127163117 1
< 0.1%
20210127162628 1
< 0.1%
20210127141234 1
< 0.1%
20210126183347 1
< 0.1%
20210126165929 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
I
2170 
U
922 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2170
70.2%
U 922
29.8%

Length

2024-04-18T03:57:32.884978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:57:32.963041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2170
70.2%
u 922
29.8%

데이터갱신일자
Date

Distinct490
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-31 02:40:00
2024-04-18T03:57:33.045163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:57:33.151816image/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 size24.3 KiB
제과점영업
3092 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 3092
100.0%

Length

2024-04-18T03:57:33.252994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:57:33.322588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 3092
100.0%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct2296
Distinct (%)76.2%
Missing80
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean388321.14
Minimum364927.7
Maximum407434.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.3 KiB
2024-04-18T03:57:33.402861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum364927.7
5-th percentile379286.62
Q1384095.76
median388801.66
Q3392141.35
95-th percentile398153.17
Maximum407434.69
Range42506.995
Interquartile range (IQR)8045.5901

Descriptive statistics

Standard deviation5887.9077
Coefficient of variation (CV)0.01516247
Kurtosis0.25179302
Mean388321.14
Median Absolute Deviation (MAD)3701.8143
Skewness-0.066613396
Sum1.1696233 × 109
Variance34667458
MonotonicityNot monotonic
2024-04-18T03:57:33.502106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
393952.264486105 60
 
1.9%
387271.299492377 24
 
0.8%
387539.767677801 21
 
0.7%
385590.814676765 20
 
0.6%
390120.394129863 15
 
0.5%
392474.578116018 13
 
0.4%
380225.635401772 12
 
0.4%
386163.228186082 12
 
0.4%
394083.501537578 12
 
0.4%
394482.139208377 12
 
0.4%
Other values (2286) 2811
90.9%
(Missing) 80
 
2.6%
ValueCountFrequency (%)
364927.696730227 1
< 0.1%
366829.531355754 1
< 0.1%
367205.763155348 1
< 0.1%
367397.014357092 1
< 0.1%
367451.087635496 1
< 0.1%
368045.907990854 1
< 0.1%
371173.90939644 1
< 0.1%
371211.777937641 1
< 0.1%
371278.227629686 1
< 0.1%
371290.690707476 1
< 0.1%
ValueCountFrequency (%)
407434.691805327 2
0.1%
407418.648415535 2
0.1%
407245.567193252 1
< 0.1%
407178.504808338 1
< 0.1%
407121.882187494 1
< 0.1%
405596.576299318 1
< 0.1%
405241.716598101 1
< 0.1%
404368.189766908 1
< 0.1%
403992.260361442 2
0.1%
403323.325916494 1
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct2297
Distinct (%)76.3%
Missing80
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean187278.73
Minimum170813.58
Maximum206353.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.3 KiB
2024-04-18T03:57:33.601734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum170813.58
5-th percentile178409.34
Q1183616.16
median187462.81
Q3190982.69
95-th percentile196667.26
Maximum206353.86
Range35540.271
Interquartile range (IQR)7366.5379

Descriptive statistics

Standard deviation5867.3415
Coefficient of variation (CV)0.03132946
Kurtosis0.335476
Mean187278.73
Median Absolute Deviation (MAD)3641.3845
Skewness0.33424043
Sum5.6408354 × 108
Variance34425696
MonotonicityNot monotonic
2024-04-18T03:57:33.709592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187602.933160728 60
 
1.9%
186099.137533193 24
 
0.8%
184402.96650913 21
 
0.7%
179553.867031936 20
 
0.6%
194600.671124104 15
 
0.5%
183052.21115244 13
 
0.4%
187606.035424193 12
 
0.4%
181532.301423753 12
 
0.4%
187707.586117775 12
 
0.4%
186791.519406736 12
 
0.4%
Other values (2287) 2811
90.9%
(Missing) 80
 
2.6%
ValueCountFrequency (%)
170813.584718477 1
 
< 0.1%
174096.498143437 1
 
< 0.1%
174097.616386311 1
 
< 0.1%
174140.916066183 1
 
< 0.1%
174156.617297535 1
 
< 0.1%
174173.508031304 1
 
< 0.1%
174211.496764498 1
 
< 0.1%
174289.976688419 1
 
< 0.1%
174307.148168245 1
 
< 0.1%
174422.480246459 3
0.1%
ValueCountFrequency (%)
206353.855586145 1
 
< 0.1%
206267.822551616 1
 
< 0.1%
206184.609573703 1
 
< 0.1%
206120.302153948 3
0.1%
206070.223360046 1
 
< 0.1%
206029.122466099 1
 
< 0.1%
206010.552884139 1
 
< 0.1%
205995.903772118 1
 
< 0.1%
205690.94819215 2
0.1%
205620.650144116 2
0.1%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
제과점영업
3092 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 3092
100.0%

Length

2024-04-18T03:57:33.811856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:57:33.888300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 3092
100.0%

남성종사자수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
<NA>
2004 
0
1002 
1
 
68
2
 
13
3
 
3

Length

Max length4
Median length4
Mean length2.9443726
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> 2004
64.8%
0 1002
32.4%
1 68
 
2.2%
2 13
 
0.4%
3 3
 
0.1%
4 2
 
0.1%

Length

2024-04-18T03:57:33.963665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:57:34.045602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2004
64.8%
0 1002
32.4%
1 68
 
2.2%
2 13
 
0.4%
3 3
 
0.1%
4 2
 
0.1%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing1999
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean0.11436414
Minimum0
Maximum11
Zeros998
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size27.3 KiB
2024-04-18T03:57:34.125910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.50155845
Coefficient of variation (CV)4.3856271
Kurtosis211.86283
Mean0.11436414
Median Absolute Deviation (MAD)0
Skewness11.380325
Sum125
Variance0.25156088
MonotonicityNot monotonic
2024-04-18T03:57:34.213927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 998
32.3%
1 79
 
2.6%
2 12
 
0.4%
4 2
 
0.1%
11 1
 
< 0.1%
3 1
 
< 0.1%
(Missing) 1999
64.7%
ValueCountFrequency (%)
0 998
32.3%
1 79
 
2.6%
2 12
 
0.4%
3 1
 
< 0.1%
4 2
 
0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
11 1
 
< 0.1%
4 2
 
0.1%
3 1
 
< 0.1%
2 12
 
0.4%
1 79
 
2.6%
0 998
32.3%

영업장주변구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
<NA>
2083 
기타
718 
주택가주변
 
149
아파트지역
 
100
유흥업소밀집지역
 
30
Other values (2)
 
12

Length

Max length8
Median length4
Mean length3.6701164
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2083
67.4%
기타 718
 
23.2%
주택가주변 149
 
4.8%
아파트지역 100
 
3.2%
유흥업소밀집지역 30
 
1.0%
학교정화(상대) 11
 
0.4%
결혼예식장주변 1
 
< 0.1%

Length

2024-04-18T03:57:34.310488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:57:34.399252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2083
67.4%
기타 718
 
23.2%
주택가주변 149
 
4.8%
아파트지역 100
 
3.2%
유흥업소밀집지역 30
 
1.0%
학교정화(상대 11
 
0.4%
결혼예식장주변 1
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
<NA>
2233 
기타
603 
자율
250 
우수
 
3
지도
 
2

Length

Max length4
Median length4
Mean length3.4443726
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2233
72.2%
기타 603
 
19.5%
자율 250
 
8.1%
우수 3
 
0.1%
지도 2
 
0.1%
관리 1
 
< 0.1%

Length

2024-04-18T03:57:34.503146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:57:34.592933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2233
72.2%
기타 603
 
19.5%
자율 250
 
8.1%
우수 3
 
0.1%
지도 2
 
0.1%
관리 1
 
< 0.1%

급수시설구분명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
상수도전용
1607 
<NA>
1482 
간이상수도
 
2
지하수전용
 
1

Length

Max length5
Median length5
Mean length4.5206986
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 1607
52.0%
<NA> 1482
47.9%
간이상수도 2
 
0.1%
지하수전용 1
 
< 0.1%

Length

2024-04-18T03:57:34.684337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:57:34.766330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 1607
52.0%
na 1482
47.9%
간이상수도 2
 
0.1%
지하수전용 1
 
< 0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3092
Missing (%)100.0%
Memory size27.3 KiB

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
<NA>
3087 
0
 
5

Length

Max length4
Median length4
Mean length3.9951488
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> 3087
99.8%
0 5
 
0.2%

Length

2024-04-18T03:57:34.854464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:57:34.933067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3087
99.8%
0 5
 
0.2%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
<NA>
3087 
0
 
5

Length

Max length4
Median length4
Mean length3.9951488
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> 3087
99.8%
0 5
 
0.2%

Length

2024-04-18T03:57:35.013340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:57:35.091751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3087
99.8%
0 5
 
0.2%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
<NA>
3087 
0
 
5

Length

Max length4
Median length4
Mean length3.9951488
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> 3087
99.8%
0 5
 
0.2%

Length

2024-04-18T03:57:35.172069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:57:35.255685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3087
99.8%
0 5
 
0.2%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
<NA>
3087 
0
 
5

Length

Max length4
Median length4
Mean length3.9951488
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> 3087
99.8%
0 5
 
0.2%

Length

2024-04-18T03:57:35.360710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:57:35.436799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3087
99.8%
0 5
 
0.2%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3092
Missing (%)100.0%
Memory size27.3 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
<NA>
3087 
0
 
5

Length

Max length4
Median length4
Mean length3.9951488
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> 3087
99.8%
0 5
 
0.2%

Length

2024-04-18T03:57:35.517591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:57:35.595035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3087
99.8%
0 5
 
0.2%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
<NA>
3087 
0
 
5

Length

Max length4
Median length4
Mean length3.9951488
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> 3087
99.8%
0 5
 
0.2%

Length

2024-04-18T03:57:35.685725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:57:35.762347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3087
99.8%
0 5
 
0.2%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
False
3043 
True
 
49
ValueCountFrequency (%)
False 3043
98.4%
True 49
 
1.6%
2024-04-18T03:57:35.822394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct2107
Distinct (%)68.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.888325
Minimum0
Maximum780.5
Zeros224
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size27.3 KiB
2024-04-18T03:57:35.904151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120.9975
median36.35
Q362.825
95-th percentile134.345
Maximum780.5
Range780.5
Interquartile range (IQR)41.8275

Descriptive statistics

Standard deviation53.214068
Coefficient of variation (CV)1.0666638
Kurtosis41.072364
Mean49.888325
Median Absolute Deviation (MAD)19.455
Skewness4.5314818
Sum154254.7
Variance2831.737
MonotonicityNot monotonic
2024-04-18T03:57:36.242924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 224
 
7.2%
33.0 18
 
0.6%
24.0 17
 
0.5%
20.0 12
 
0.4%
42.0 11
 
0.4%
36.0 11
 
0.4%
25.0 10
 
0.3%
26.0 10
 
0.3%
15.0 10
 
0.3%
30.0 10
 
0.3%
Other values (2097) 2759
89.2%
ValueCountFrequency (%)
0.0 224
7.2%
0.25 1
 
< 0.1%
0.7 1
 
< 0.1%
0.9 1
 
< 0.1%
0.91 1
 
< 0.1%
1.0 5
 
0.2%
1.2 1
 
< 0.1%
1.21 2
 
0.1%
1.4 1
 
< 0.1%
1.49 1
 
< 0.1%
ValueCountFrequency (%)
780.5 1
< 0.1%
722.81 1
< 0.1%
695.26 1
< 0.1%
691.9 1
< 0.1%
605.0 1
< 0.1%
415.71 1
< 0.1%
395.77 1
< 0.1%
356.96 1
< 0.1%
335.04 1
< 0.1%
322.42 1
< 0.1%

전통업소지정번호
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing3091
Missing (%)> 99.9%
Memory size24.3 KiB
2024-04-18T03:57:36.307545image/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 categories2 ?
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 row-+
ValueCountFrequency (%)
1
100.0%
2024-04-18T03:57:36.450900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1
50.0%
+ 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Dash Punctuation 1
50.0%
Math Symbol 1
50.0%

Most frequent character per category

Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1
50.0%
+ 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1
50.0%
+ 1
50.0%

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3092
Missing (%)100.0%
Memory size27.3 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3092
Missing (%)100.0%
Memory size27.3 KiB

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3092
Missing (%)100.0%
Memory size27.3 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
01제과점영업07_22_18_P32500003250000-121-2021-0000120210122<NA>3폐업2폐업20210128<NA><NA><NA><NA><NA>600017부산광역시 중구 중앙동7가 20-1 롯데백화점광복점부산광역시 중구 중앙대로 2, 롯데백화점광복점 지하1층 (중앙동7가)48944프띠르20210129041509U2021-01-31 02:40:00.0제과점영업385590.814677179553.867032제과점영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
12제과점영업07_22_18_P33300003330000-121-2020-0002920201222<NA>3폐업2폐업20201225<NA><NA><NA><NA><NA>612020부산광역시 해운대구 우동 1495 신세계백화점센텀시티점부산광역시 해운대구 센텀남대로 35, 신세계백화점센텀시티점 지하1층 일부호 (우동)48058더메나쥬리 센텀점20201226041508U2020-12-29 02:40:00.0제과점영업393952.264486187602.933161제과점영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
23제과점영업07_22_18_P33300003330000-121-2020-0002420201202<NA>3폐업2폐업20201206<NA><NA><NA><NA><NA>612704부산광역시 해운대구 우동 1500 벡스코부산광역시 해운대구 APEC로 55, 벡스코 제1전시장 (우동)48060세자매바른빵20201207041509U2020-12-09 02:40:00.0제과점영업394482.139208187606.035424제과점영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
34제과점영업07_22_18_P33300003330000-121-2020-0002820201221<NA>3폐업2폐업20201225<NA><NA><NA><NA><NA>612020부산광역시 해운대구 우동 1495 신세계백화점센텀시티점부산광역시 해운대구 센텀남대로 35, 신세계백화점센텀시티점 지하1층 일부호 (우동)48058움트20201226041508U2020-12-29 02:40:00.0제과점영업393952.264486187602.933161제과점영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
45제과점영업07_22_18_P33300003330000-121-2020-0002720201221<NA>3폐업2폐업20201225<NA><NA><NA><NA><NA>612020부산광역시 해운대구 우동 1495 신세계백화점센텀시티점부산광역시 해운대구 센텀남대로 35, 신세계백화점센텀시티점 지하1층 일부호 (우동)48058파티세리 몽슈슈 현대백화점 판교점20201226041508U2020-12-29 02:40:00.0제과점영업393952.264486187602.933161제과점영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
56제과점영업07_22_18_P33100003310000-121-2018-0001620181112<NA>3폐업2폐업20191112<NA><NA><NA><NA>6.0608090부산광역시 남구 용호동 954번지 더블유부산광역시 남구 분포로 145, 1층 1201호 (용호동, 더블유)48515오브네20191112152113U2019-11-14 02:40:00.0제과점영업392495.046848183633.944535제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N6.0<NA><NA><NA><NA>
67제과점영업07_22_18_P33800003380000-121-2018-0001120181221<NA>3폐업2폐업20190410<NA><NA><NA><NA>32.8613832부산광역시 수영구 수영동 483-7번지부산광역시 수영구 구락로 61, 1층 (수영동)48225골든벨베이커리20190410163618U2019-04-12 02:40:00.0제과점영업392819.056323187998.552611제과점영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N32.8<NA><NA><NA><NA>
78제과점영업07_22_18_P33100003310000-121-2018-0001820181120<NA>3폐업2폐업20201221<NA><NA><NA>051 611116143.6608090부산광역시 남구 용호동 954 더블유부산광역시 남구 분포로 145, 더블유스퀘어동 2층 2045호 (용호동, 더블유)48515오연당용호W20201221150925U2020-12-23 02:40:00.0제과점영업392495.046848183633.944535제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N43.6<NA><NA><NA><NA>
89제과점영업07_22_18_P33800003380000-121-2018-0001020181126<NA>3폐업2폐업20181226<NA><NA><NA><NA>58.41613831부산광역시 수영구 수영동 465-19번지부산광역시 수영구 연수로357번길 17-10, 1층 (수영동)48231꽃피는4월밀익는5월20181226172125U2018-12-28 02:40:00.0제과점영업392172.553354187922.020585제과점영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N58.41<NA><NA><NA><NA>
910제과점영업07_22_18_P33600003360000-121-2018-0000420181128<NA>3폐업2폐업20201207<NA><NA><NA>051 203 201326.62618200부산광역시 강서구 명지동 3361 에일린의뜰 상가동 101-1호부산광역시 강서구 명지국제5로 60, 상가동 1층 101-1호 (명지동, 에일린의뜰)46726더크로와상20201207105327U2020-12-09 02:40:00.0제과점영업375153.129347179525.873941제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N26.62<NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
30823083제과점영업07_22_18_P32600003260000-121-2007-0004020010519<NA>1영업/정상1영업<NA><NA><NA><NA>051 242 664223.77602825부산광역시 서구 서대신동3가 593-2부산광역시 서구 대티로 175 (서대신동3가)49210티라미슈베이커리20210129103413U2021-01-31 02:40:00.0제과점영업383423.411578181376.911829제과점영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N23.77<NA><NA><NA><NA>
30833084제과점영업07_22_18_P32500003250000-121-2018-0000120180313<NA>1영업/정상1영업<NA><NA><NA><NA>051 6225300171.21600017부산광역시 중구 중앙동7가 20-1번지 롯데백화점광복점부산광역시 중구 중앙대로 2, 롯데백화점광복점 지상 4층 (중앙동7가)48944카페 아슬란20180313174733I2018-08-31 23:59:59.0제과점영업385590.814677179553.867032제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y171.21<NA><NA><NA><NA>
30843085제과점영업07_22_18_P32500003250000-121-2017-0000220170330<NA>1영업/정상1영업<NA><NA><NA><NA>070 8815151211.44600017부산광역시 중구 중앙동7가 1-2번지부산광역시 중구 중앙대로 2, 지하1층 (중앙동7가, 롯데백화점광복점)48944대구근대골목단팥빵 광복롯데점20170417144912I2018-08-31 23:59:59.0제과점영업385649.488635179526.735317제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N11.44<NA><NA><NA><NA>
30853086제과점영업07_22_18_P32500003250000-121-2016-0000820161117<NA>1영업/정상1영업<NA><NA><NA><NA>051 612 422596.23600806부산광역시 중구 부평동2가 72-2번지부산광역시 중구 부평1길 49, 지하1층, 1층 (부평동2가)48977겐츠베이커리 부평시장점20161117143321I2018-08-31 23:59:59.0제과점영업384637.844483179947.236224제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N96.23<NA><NA><NA><NA>
30863087제과점영업07_22_18_P32500003250000-121-2015-0000620151228<NA>1영업/정상1영업<NA><NA><NA><NA>051 464 700742.15600092부산광역시 중구 대청동2가 22-4번지 외1필지부산광역시 중구 대청로 90-1, 1층 (대청동2가)48947빵장수단팥빵20170210104844I2018-08-31 23:59:59.0제과점영업385002.672042180069.624291제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N42.15<NA><NA><NA><NA>
30873088제과점영업07_22_18_P32500003250000-121-2015-0000320150706<NA>1영업/정상1영업<NA><NA><NA><NA>051 255 077133.04600807부산광역시 중구 부평동2가 45-13번지 1층부산광역시 중구 보수대로 16, 1층 (부평동2가)48980타임 베이커리20200317154332U2020-03-19 02:40:00.0제과점영업384614.3322179577.888166제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N33.04<NA><NA><NA><NA>
30883089제과점영업07_22_18_P32500003250000-121-2014-0000520140826<NA>1영업/정상1영업<NA><NA><NA><NA>02 2670654671.28600017부산광역시 중구 중앙동7가 20-1 롯데몰마트시네마동롯데마트부산광복점지하1부산광역시 중구 중앙대로 2, 지하1층 (중앙동7가, 롯데몰마트시네마동롯데마트부산광복점지하1)48944베이커리팩토리 광복점20201124163953U2020-11-26 02:40:00.0제과점영업385590.814677179553.867032제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y71.28<NA><NA><NA><NA>
30893090제과점영업07_22_18_P32500003250000-121-2014-0000320140320<NA>1영업/정상1영업<NA><NA><NA><NA><NA>85.95600051부산광역시 중구 창선동1가 12-1번지 1층 일부부산광역시 중구 광복로39번길 6 (창선동1가)48947비엔씨제과광복점20150413115934I2018-08-31 23:59:59.0제과점영업384993.660073179733.755299제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N85.95<NA><NA><NA><NA>
30903091제과점영업07_22_18_P32500003250000-121-2011-0000620110728<NA>1영업/정상1영업<NA><NA><NA><NA>051 4663202111.0600815부산광역시 중구 중앙동4가 36-14번지 (1층)부산광역시 중구 해관로 65, 1층 (중앙동4가)48930파리바게뜨20130319111118I2018-08-31 23:59:59.0제과점영업385502.49232180297.579331제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N111.0<NA><NA><NA><NA>
30913092제과점영업07_22_18_P32800003280000-121-1996-0000319961118<NA>1영업/정상1영업<NA><NA><NA><NA>051 416385770.88606802부산광역시 영도구 남항동2가 271-1 272-3,274-2,274-3부산광역시 영도구 남항로 40-1 (남항동2가,272-3,274-2,274-3)49055파리바게트 영도남항점20201127140539U2020-11-29 02:40:00.0제과점영업386026.782302178511.723648제과점영업<NA><NA>기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N70.88<NA><NA><NA><NA>