Overview

Dataset statistics

Number of variables48
Number of observations3125
Missing cells37516
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

Description2021-05-01
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 (57.5%)Imbalance
영업장주변구분명 is highly imbalanced (52.5%)Imbalance
등급구분명 is highly imbalanced (57.2%)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 (88.0%)Imbalance
인허가취소일자 has 3125 (100.0%) missing valuesMissing
폐업일자 has 1171 (37.5%) missing valuesMissing
휴업시작일자 has 3125 (100.0%) missing valuesMissing
휴업종료일자 has 3125 (100.0%) missing valuesMissing
재개업일자 has 3125 (100.0%) missing valuesMissing
소재지전화 has 1107 (35.4%) missing valuesMissing
소재지면적 has 194 (6.2%) missing valuesMissing
소재지우편번호 has 49 (1.6%) missing valuesMissing
도로명전체주소 has 759 (24.3%) missing valuesMissing
도로명우편번호 has 788 (25.2%) missing valuesMissing
좌표정보(x) has 80 (2.6%) missing valuesMissing
좌표정보(y) has 80 (2.6%) missing valuesMissing
여성종사자수 has 2032 (65.0%) missing valuesMissing
총종업원수 has 3125 (100.0%) missing valuesMissing
건물소유구분명 has 3125 (100.0%) missing valuesMissing
전통업소지정번호 has 3124 (> 99.9%) missing valuesMissing
전통업소주된음식 has 3125 (100.0%) missing valuesMissing
홈페이지 has 3125 (100.0%) missing valuesMissing
Unnamed: 47 has 3125 (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 (31.9%) zerosZeros
시설총규모 has 226 (7.2%) zerosZeros

Reproduction

Analysis started2024-04-17 18:58:19.348357
Analysis finished2024-04-17 18:58:20.539115
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1563
Minimum1
Maximum3125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.6 KiB
2024-04-18T03:58:20.592323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile157.2
Q1782
median1563
Q32344
95-th percentile2968.8
Maximum3125
Range3124
Interquartile range (IQR)1562

Descriptive statistics

Standard deviation902.25412
Coefficient of variation (CV)0.57725792
Kurtosis-1.2
Mean1563
Median Absolute Deviation (MAD)781
Skewness0
Sum4884375
Variance814062.5
MonotonicityStrictly increasing
2024-04-18T03:58:20.696976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2101 1
 
< 0.1%
2079 1
 
< 0.1%
2080 1
 
< 0.1%
2081 1
 
< 0.1%
2082 1
 
< 0.1%
2083 1
 
< 0.1%
2084 1
 
< 0.1%
2085 1
 
< 0.1%
2086 1
 
< 0.1%
Other values (3115) 3115
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 (%)
3125 1
< 0.1%
3124 1
< 0.1%
3123 1
< 0.1%
3122 1
< 0.1%
3121 1
< 0.1%
3120 1
< 0.1%
3119 1
< 0.1%
3118 1
< 0.1%
3117 1
< 0.1%
3116 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
제과점영업
3125 

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 3125
100.0%

Length

2024-04-18T03:58:20.796892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:20.867143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 3125
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
07_22_18_P
3125 

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 3125
100.0%

Length

2024-04-18T03:58:20.938050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:21.011681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_18_p 3125
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3327772.8
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.6 KiB
2024-04-18T03:58:21.097644image/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 deviation38982.328
Coefficient of variation (CV)0.011714239
Kurtosis-0.73880308
Mean3327772.8
Median Absolute Deviation (MAD)30000
Skewness0.010976804
Sum1.039929 × 1010
Variance1.5196219 × 109
MonotonicityNot monotonic
2024-04-18T03:58:21.210472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 440
14.1%
3290000 331
10.6%
3300000 284
9.1%
3340000 279
8.9%
3310000 226
 
7.2%
3350000 223
 
7.1%
3370000 209
 
6.7%
3320000 206
 
6.6%
3380000 183
 
5.9%
3390000 168
 
5.4%
Other values (6) 576
18.4%
ValueCountFrequency (%)
3250000 111
 
3.6%
3260000 92
 
2.9%
3270000 93
 
3.0%
3280000 73
 
2.3%
3290000 331
10.6%
3300000 284
9.1%
3310000 226
7.2%
3320000 206
6.6%
3330000 440
14.1%
3340000 279
8.9%
ValueCountFrequency (%)
3400000 122
 
3.9%
3390000 168
 
5.4%
3380000 183
5.9%
3370000 209
6.7%
3360000 85
 
2.7%
3350000 223
7.1%
3340000 279
8.9%
3330000 440
14.1%
3320000 206
6.6%
3310000 226
7.2%

관리번호
Text

UNIQUE 

Distinct3125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
2024-04-18T03:58:21.396365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters68750
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

Unique3125 ?
Unique (%)100.0%

Sample

1st row3280000-121-1996-00003
2nd row3250000-121-2011-00006
3rd row3250000-121-2014-00003
4th row3250000-121-2014-00005
5th row3250000-121-2015-00003
ValueCountFrequency (%)
3280000-121-1996-00003 1
 
< 0.1%
3300000-121-2013-00005 1
 
< 0.1%
3380000-121-1992-00485 1
 
< 0.1%
3380000-121-1971-00405 1
 
< 0.1%
3380000-121-1973-00516 1
 
< 0.1%
3380000-121-2013-00006 1
 
< 0.1%
3380000-121-2015-00003 1
 
< 0.1%
3380000-121-1980-00416 1
 
< 0.1%
3380000-121-1980-00423 1
 
< 0.1%
3380000-121-1991-00469 1
 
< 0.1%
Other values (3115) 3115
99.7%
2024-04-18T03:58:21.648638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27792
40.4%
1 9943
 
14.5%
- 9375
 
13.6%
2 7591
 
11.0%
3 6617
 
9.6%
9 2212
 
3.2%
4 1196
 
1.7%
5 1099
 
1.6%
8 1042
 
1.5%
7 1007
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 59375
86.4%
Dash Punctuation 9375
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27792
46.8%
1 9943
 
16.7%
2 7591
 
12.8%
3 6617
 
11.1%
9 2212
 
3.7%
4 1196
 
2.0%
5 1099
 
1.9%
8 1042
 
1.8%
7 1007
 
1.7%
6 876
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 9375
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 68750
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27792
40.4%
1 9943
 
14.5%
- 9375
 
13.6%
2 7591
 
11.0%
3 6617
 
9.6%
9 2212
 
3.2%
4 1196
 
1.7%
5 1099
 
1.6%
8 1042
 
1.5%
7 1007
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27792
40.4%
1 9943
 
14.5%
- 9375
 
13.6%
2 7591
 
11.0%
3 6617
 
9.6%
9 2212
 
3.2%
4 1196
 
1.7%
5 1099
 
1.6%
8 1042
 
1.5%
7 1007
 
1.5%

인허가일자
Real number (ℝ)

Distinct2450
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20075404
Minimum19631010
Maximum20210331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.6 KiB
2024-04-18T03:58:21.761824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19631010
5-th percentile19870817
Q120020118
median20100318
Q320160217
95-th percentile20200316
Maximum20210331
Range579321
Interquartile range (IQR)140099

Descriptive statistics

Standard deviation101740.8
Coefficient of variation (CV)0.0050679326
Kurtosis0.65304934
Mean20075404
Median Absolute Deviation (MAD)60901
Skewness-0.98208023
Sum6.2735639 × 1010
Variance1.035119 × 1010
MonotonicityNot monotonic
2024-04-18T03:58:22.086565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090212 9
 
0.3%
20181002 6
 
0.2%
20140410 6
 
0.2%
20090120 5
 
0.2%
20101027 5
 
0.2%
20100531 5
 
0.2%
20190207 4
 
0.1%
19921026 4
 
0.1%
20060904 4
 
0.1%
20110309 4
 
0.1%
Other values (2440) 3073
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 (%)
20210331 2
0.1%
20210326 1
< 0.1%
20210322 1
< 0.1%
20210318 2
0.1%
20210315 2
0.1%
20210312 1
< 0.1%
20210311 2
0.1%
20210310 2
0.1%
20210308 1
< 0.1%
20210303 2
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3125
Missing (%)100.0%
Memory size27.6 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
3
1954 
1
1171 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1954
62.5%
1 1171
37.5%

Length

2024-04-18T03:58:22.184415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:22.256393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1954
62.5%
1 1171
37.5%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
폐업
1954 
영업/정상
1171 

Length

Max length5
Median length2
Mean length3.12416
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1954
62.5%
영업/정상 1171
37.5%

Length

2024-04-18T03:58:22.332947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:22.408875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1954
62.5%
영업/정상 1171
37.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
2
1954 
1
1171 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 1954
62.5%
1 1171
37.5%

Length

2024-04-18T03:58:22.485827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:22.561656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1954
62.5%
1 1171
37.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
폐업
1954 
영업
1171 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1954
62.5%
영업 1171
37.5%

Length

2024-04-18T03:58:22.638497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:22.711436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1954
62.5%
영업 1171
37.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct1376
Distinct (%)70.4%
Missing1171
Missing (%)37.5%
Infinite0
Infinite (%)0.0%
Mean20136584
Minimum19950703
Maximum20210331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.6 KiB
2024-04-18T03:58:22.798769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950703
5-th percentile20060413
Q120100618
median20140404
Q320180109
95-th percentile20200655
Maximum20210331
Range259628
Interquartile range (IQR)79490.75

Descriptive statistics

Standard deviation45496.044
Coefficient of variation (CV)0.0022593725
Kurtosis-1.0124144
Mean20136584
Median Absolute Deviation (MAD)39719.5
Skewness-0.22320373
Sum3.9346886 × 1010
Variance2.06989 × 109
MonotonicityNot monotonic
2024-04-18T03:58:22.912273image/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
 
0.4%
20130409 11
 
0.4%
20130614 9
 
0.3%
20170321 9
 
0.3%
20070126 7
 
0.2%
20190717 6
 
0.2%
Other values (1366) 1812
58.0%
(Missing) 1171
37.5%
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 (%)
20210331 1
 
< 0.1%
20210329 1
 
< 0.1%
20210326 2
0.1%
20210323 2
0.1%
20210322 2
0.1%
20210319 3
0.1%
20210318 2
0.1%
20210317 2
0.1%
20210316 2
0.1%
20210310 1
 
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3125
Missing (%)100.0%
Memory size27.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3125
Missing (%)100.0%
Memory size27.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3125
Missing (%)100.0%
Memory size27.6 KiB

소재지전화
Text

MISSING 

Distinct1775
Distinct (%)88.0%
Missing1107
Missing (%)35.4%
Memory size24.5 KiB
2024-04-18T03:58:23.148649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.692765
Min length3

Characters and Unicode

Total characters21578
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

Unique1706 ?
Unique (%)84.5%

Sample

1st row051 4163857
2nd row051 4663202
3rd row02 26706546
4th row051 255 0771
5th row051 464 7007
ValueCountFrequency (%)
051 1788
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%
853 9
 
0.2%
Other values (1990) 2636
57.7%
2024-04-18T03:58:23.485288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3541
16.4%
5 3461
16.0%
1 3154
14.6%
2582
12.0%
2 1755
8.1%
7 1331
 
6.2%
3 1296
 
6.0%
8 1270
 
5.9%
6 1170
 
5.4%
4 1168
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18996
88.0%
Space Separator 2582
 
12.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3541
18.6%
5 3461
18.2%
1 3154
16.6%
2 1755
9.2%
7 1331
 
7.0%
3 1296
 
6.8%
8 1270
 
6.7%
6 1170
 
6.2%
4 1168
 
6.1%
9 850
 
4.5%
Space Separator
ValueCountFrequency (%)
2582
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21578
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3541
16.4%
5 3461
16.0%
1 3154
14.6%
2582
12.0%
2 1755
8.1%
7 1331
 
6.2%
3 1296
 
6.0%
8 1270
 
5.9%
6 1170
 
5.4%
4 1168
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21578
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3541
16.4%
5 3461
16.0%
1 3154
14.6%
2582
12.0%
2 1755
8.1%
7 1331
 
6.2%
3 1296
 
6.0%
8 1270
 
5.9%
6 1170
 
5.4%
4 1168
 
5.4%

소재지면적
Real number (ℝ)

MISSING 

Distinct2127
Distinct (%)72.6%
Missing194
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean53.296878
Minimum0
Maximum780.5
Zeros21
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size27.6 KiB
2024-04-18T03:58:23.606693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.015
Q124.09
median39.2
Q365.825
95-th percentile138.515
Maximum780.5
Range780.5
Interquartile range (IQR)41.735

Descriptive statistics

Standard deviation53.04296
Coefficient of variation (CV)0.99523578
Kurtosis42.814661
Mean53.296878
Median Absolute Deviation (MAD)18.4
Skewness4.6920401
Sum156213.15
Variance2813.5556
MonotonicityNot monotonic
2024-04-18T03:58:23.718864image/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 13
 
0.4%
25.0 11
 
0.4%
26.0 11
 
0.4%
36.0 11
 
0.4%
15.0 11
 
0.4%
42.0 11
 
0.4%
30.0 10
 
0.3%
Other values (2117) 2797
89.5%
(Missing) 194
 
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 (%)21.2%
Missing49
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean610913.1
Minimum600012
Maximum619953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.6 KiB
2024-04-18T03:58:23.841519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600012
5-th percentile601808.75
Q1607815
median611825
Q3614822
95-th percentile618200
Maximum619953
Range19941
Interquartile range (IQR)7007

Descriptive statistics

Standard deviation5005.6971
Coefficient of variation (CV)0.0081937956
Kurtosis-0.66304531
Mean610913.1
Median Absolute Deviation (MAD)3041
Skewness-0.31894417
Sum1.8791687 × 109
Variance25057004
MonotonicityNot monotonic
2024-04-18T03:58:23.955205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
612020 97
 
3.1%
612824 30
 
1.0%
608832 28
 
0.9%
616852 28
 
0.9%
618200 26
 
0.8%
617808 25
 
0.8%
618814 25
 
0.8%
607815 24
 
0.8%
607831 23
 
0.7%
600017 23
 
0.7%
Other values (643) 2747
87.9%
(Missing) 49
 
1.6%
ValueCountFrequency (%)
600012 1
 
< 0.1%
600016 1
 
< 0.1%
600017 23
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

Distinct2810
Distinct (%)90.1%
Missing7
Missing (%)0.2%
Memory size24.5 KiB
2024-04-18T03:58:24.239659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length49
Mean length25.132457
Min length14

Characters and Unicode

Total characters78363
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

Unique2623 ?
Unique (%)84.1%

Sample

1st row부산광역시 영도구 남항동2가 271-1 272-3,274-2,274-3
2nd row부산광역시 중구 중앙동4가 36-14번지 (1층)
3rd row부산광역시 중구 창선동1가 12-1번지 1층 일부
4th row부산광역시 중구 중앙동7가 20-1 롯데몰마트시네마동롯데마트부산광복점지하1
5th row부산광역시 중구 부평동2가 45-13번지 1층
ValueCountFrequency (%)
부산광역시 3118
 
21.2%
해운대구 439
 
3.0%
부산진구 331
 
2.3%
동래구 284
 
1.9%
사하구 277
 
1.9%
남구 226
 
1.5%
금정구 223
 
1.5%
연제구 209
 
1.4%
북구 205
 
1.4%
수영구 183
 
1.2%
Other values (3682) 9196
62.6%
2024-04-18T03:58:24.626241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11582
 
14.8%
1 4040
 
5.2%
부 3821
 
4.9%
산 3753
 
4.8%
동 3705
 
4.7%
광 3228
 
4.1%
시 3211
 
4.1%
역 3143
 
4.0%
지 3113
 
4.0%
구 3092
 
3.9%
Other values (408) 35675
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47326
60.4%
Decimal Number 16029
 
20.5%
Space Separator 11582
 
14.8%
Dash Punctuation 2616
 
3.3%
Open Punctuation 217
 
0.3%
Close Punctuation 214
 
0.3%
Uppercase Letter 180
 
0.2%
Other Punctuation 172
 
0.2%
Lowercase Letter 18
 
< 0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 3821
 
8.1%
산 3753
 
7.9%
동 3705
 
7.8%
광 3228
 
6.8%
시 3211
 
6.8%
역 3143
 
6.6%
지 3113
 
6.6%
구 3092
 
6.5%
번 2747
 
5.8%
대 776
 
1.6%
Other values (357) 16737
35.4%
Uppercase Letter
ValueCountFrequency (%)
B 34
18.9%
S 26
14.4%
A 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 4040
25.2%
2 2116
13.2%
3 1654
10.3%
4 1471
 
9.2%
5 1419
 
8.9%
0 1292
 
8.1%
6 1092
 
6.8%
7 1076
 
6.7%
9 959
 
6.0%
8 910
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 146
84.9%
. 12
 
7.0%
@ 8
 
4.7%
/ 3
 
1.7%
· 2
 
1.2%
: 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
e 7
38.9%
s 4
22.2%
k 3
16.7%
l 3
16.7%
i 1
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 216
99.5%
[ 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 213
99.5%
] 1
 
0.5%
Space Separator
ValueCountFrequency (%)
11582
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2616
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47326
60.4%
Common 30839
39.4%
Latin 198
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 3821
 
8.1%
산 3753
 
7.9%
동 3705
 
7.8%
광 3228
 
6.8%
시 3211
 
6.8%
역 3143
 
6.6%
지 3113
 
6.6%
구 3092
 
6.5%
번 2747
 
5.8%
대 776
 
1.6%
Other values (357) 16737
35.4%
Latin
ValueCountFrequency (%)
B 34
17.2%
S 26
13.1%
A 26
13.1%
G 18
9.1%
K 15
 
7.6%
C 13
 
6.6%
e 7
 
3.5%
P 6
 
3.0%
T 5
 
2.5%
L 5
 
2.5%
Other values (18) 43
21.7%
Common
ValueCountFrequency (%)
11582
37.6%
1 4040
 
13.1%
- 2616
 
8.5%
2 2116
 
6.9%
3 1654
 
5.4%
4 1471
 
4.8%
5 1419
 
4.6%
0 1292
 
4.2%
6 1092
 
3.5%
7 1076
 
3.5%
Other values (13) 2481
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47326
60.4%
ASCII 31035
39.6%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11582
37.3%
1 4040
 
13.0%
- 2616
 
8.4%
2 2116
 
6.8%
3 1654
 
5.3%
4 1471
 
4.7%
5 1419
 
4.6%
0 1292
 
4.2%
6 1092
 
3.5%
7 1076
 
3.5%
Other values (40) 2677
 
8.6%
Hangul
ValueCountFrequency (%)
부 3821
 
8.1%
산 3753
 
7.9%
동 3705
 
7.8%
광 3228
 
6.8%
시 3211
 
6.8%
역 3143
 
6.6%
지 3113
 
6.6%
구 3092
 
6.5%
번 2747
 
5.8%
대 776
 
1.6%
Other values (357) 16737
35.4%
None
ValueCountFrequency (%)
· 2
100.0%

도로명전체주소
Text

MISSING 

Distinct2230
Distinct (%)94.3%
Missing759
Missing (%)24.3%
Memory size24.5 KiB
2024-04-18T03:58:24.929830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length58
Mean length32.398986
Min length20

Characters and Unicode

Total characters76656
Distinct characters449
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

Unique2160 ?
Unique (%)91.3%

Sample

1st row부산광역시 영도구 남항로 40-1 (남항동2가,272-3,274-2,274-3)
2nd row부산광역시 중구 해관로 65, 1층 (중앙동4가)
3rd row부산광역시 중구 광복로39번길 6 (창선동1가)
4th row부산광역시 중구 중앙대로 2, 지하1층 (중앙동7가, 롯데몰마트시네마동롯데마트부산광복점지하1)
5th row부산광역시 중구 보수대로 16, 1층 (부평동2가)
ValueCountFrequency (%)
부산광역시 2366
 
16.1%
1층 624
 
4.2%
해운대구 363
 
2.5%
부산진구 253
 
1.7%
사하구 210
 
1.4%
동래구 198
 
1.3%
남구 175
 
1.2%
금정구 159
 
1.1%
우동 154
 
1.0%
북구 147
 
1.0%
Other values (2752) 10050
68.4%
2024-04-18T03:58:25.361821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12347
 
16.1%
1 3562
 
4.6%
동 3143
 
4.1%
부 3043
 
4.0%
산 2865
 
3.7%
시 2589
 
3.4%
광 2529
 
3.3%
( 2402
 
3.1%
) 2398
 
3.1%
역 2386
 
3.1%
Other values (439) 39392
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45277
59.1%
Space Separator 12347
 
16.1%
Decimal Number 11554
 
15.1%
Open Punctuation 2403
 
3.1%
Close Punctuation 2399
 
3.1%
Other Punctuation 2111
 
2.8%
Dash Punctuation 293
 
0.4%
Uppercase Letter 242
 
0.3%
Math Symbol 15
 
< 0.1%
Lowercase Letter 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3143
 
6.9%
부 3043
 
6.7%
산 2865
 
6.3%
시 2589
 
5.7%
광 2529
 
5.6%
역 2386
 
5.3%
구 2383
 
5.3%
로 2350
 
5.2%
대 1380
 
3.0%
층 1109
 
2.4%
Other values (388) 21500
47.5%
Uppercase Letter
ValueCountFrequency (%)
A 47
19.4%
B 40
16.5%
C 28
11.6%
S 26
10.7%
E 18
 
7.4%
P 18
 
7.4%
G 17
 
7.0%
K 13
 
5.4%
H 5
 
2.1%
T 4
 
1.7%
Other values (13) 26
10.7%
Decimal Number
ValueCountFrequency (%)
1 3562
30.8%
2 1621
14.0%
3 1141
 
9.9%
0 1044
 
9.0%
4 879
 
7.6%
5 835
 
7.2%
6 717
 
6.2%
7 679
 
5.9%
8 566
 
4.9%
9 510
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 2095
99.2%
. 9
 
0.4%
@ 4
 
0.2%
/ 1
 
< 0.1%
· 1
 
< 0.1%
* 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 7
46.7%
s 3
20.0%
l 2
 
13.3%
k 2
 
13.3%
i 1
 
6.7%
Open Punctuation
ValueCountFrequency (%)
( 2402
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2398
> 99.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
12347
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 293
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45277
59.1%
Common 31122
40.6%
Latin 257
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3143
 
6.9%
부 3043
 
6.7%
산 2865
 
6.3%
시 2589
 
5.7%
광 2529
 
5.6%
역 2386
 
5.3%
구 2383
 
5.3%
로 2350
 
5.2%
대 1380
 
3.0%
층 1109
 
2.4%
Other values (388) 21500
47.5%
Latin
ValueCountFrequency (%)
A 47
18.3%
B 40
15.6%
C 28
10.9%
S 26
10.1%
E 18
 
7.0%
P 18
 
7.0%
G 17
 
6.6%
K 13
 
5.1%
e 7
 
2.7%
H 5
 
1.9%
Other values (18) 38
14.8%
Common
ValueCountFrequency (%)
12347
39.7%
1 3562
 
11.4%
( 2402
 
7.7%
) 2398
 
7.7%
, 2095
 
6.7%
2 1621
 
5.2%
3 1141
 
3.7%
0 1044
 
3.4%
4 879
 
2.8%
5 835
 
2.7%
Other values (13) 2798
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45277
59.1%
ASCII 31378
40.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12347
39.3%
1 3562
 
11.4%
( 2402
 
7.7%
) 2398
 
7.6%
, 2095
 
6.7%
2 1621
 
5.2%
3 1141
 
3.6%
0 1044
 
3.3%
4 879
 
2.8%
5 835
 
2.7%
Other values (40) 3054
 
9.7%
Hangul
ValueCountFrequency (%)
동 3143
 
6.9%
부 3043
 
6.7%
산 2865
 
6.3%
시 2589
 
5.7%
광 2529
 
5.6%
역 2386
 
5.3%
구 2383
 
5.3%
로 2350
 
5.2%
대 1380
 
3.0%
층 1109
 
2.4%
Other values (388) 21500
47.5%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct933
Distinct (%)39.9%
Missing788
Missing (%)25.2%
Infinite0
Infinite (%)0.0%
Mean47809.983
Minimum46002
Maximum49525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.6 KiB
2024-04-18T03:58:25.472806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46225
Q147048
median48002
Q348508
95-th percentile49390
Maximum49525
Range3523
Interquartile range (IQR)1460

Descriptive statistics

Standard deviation983.86594
Coefficient of variation (CV)0.020578671
Kurtosis-0.94833818
Mean47809.983
Median Absolute Deviation (MAD)758
Skewness-0.076874749
Sum1.1173193 × 108
Variance967992.19
MonotonicityNot monotonic
2024-04-18T03:58:25.600898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48058 69
 
2.2%
46726 27
 
0.9%
46291 22
 
0.7%
48944 22
 
0.7%
48735 20
 
0.6%
48515 19
 
0.6%
47285 19
 
0.6%
48060 17
 
0.5%
48059 14
 
0.4%
46970 13
 
0.4%
Other values (923) 2095
67.0%
(Missing) 788
 
25.2%
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

Distinct2530
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
2024-04-18T03:58:25.827455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length29
Mean length7.33984
Min length2

Characters and Unicode

Total characters22937
Distinct characters689
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

Unique2245 ?
Unique (%)71.8%

Sample

1st row파리바게트 영도남항점
2nd row파리바게뜨
3rd row비엔씨제과광복점
4th row베이커리팩토리 광복점
5th row타임 베이커리
ValueCountFrequency (%)
파리바게뜨 112
 
2.8%
베이커리 106
 
2.6%
뚜레쥬르 73
 
1.8%
파리바게트 49
 
1.2%
몽블랑제 37
 
0.9%
과자점 33
 
0.8%
탑베이커리 25
 
0.6%
탑스베이커리 21
 
0.5%
프레제 16
 
0.4%
행사매대 16
 
0.4%
Other values (2625) 3557
87.9%
2024-04-18T03:58:26.145462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 1201
 
5.2%
점 1076
 
4.7%
920
 
4.0%
이 897
 
3.9%
베 653
 
2.8%
커 598
 
2.6%
과 460
 
2.0%
스 439
 
1.9%
제 408
 
1.8%
파 374
 
1.6%
Other values (679) 15911
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20116
87.7%
Space Separator 920
 
4.0%
Lowercase Letter 602
 
2.6%
Uppercase Letter 392
 
1.7%
Close Punctuation 338
 
1.5%
Open Punctuation 331
 
1.4%
Decimal Number 184
 
0.8%
Other Punctuation 42
 
0.2%
Dash Punctuation 7
 
< 0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 1201
 
6.0%
점 1076
 
5.3%
이 897
 
4.5%
베 653
 
3.2%
커 598
 
3.0%
과 460
 
2.3%
스 439
 
2.2%
제 408
 
2.0%
파 374
 
1.9%
레 336
 
1.7%
Other values (608) 13674
68.0%
Lowercase Letter
ValueCountFrequency (%)
e 100
16.6%
a 65
10.8%
o 44
 
7.3%
i 42
 
7.0%
r 41
 
6.8%
s 38
 
6.3%
n 35
 
5.8%
t 26
 
4.3%
k 25
 
4.2%
l 24
 
4.0%
Other values (15) 162
26.9%
Uppercase Letter
ValueCountFrequency (%)
B 40
 
10.2%
S 34
 
8.7%
A 30
 
7.7%
E 28
 
7.1%
R 22
 
5.6%
T 20
 
5.1%
O 20
 
5.1%
I 19
 
4.8%
K 19
 
4.8%
P 18
 
4.6%
Other values (14) 142
36.2%
Decimal Number
ValueCountFrequency (%)
2 56
30.4%
1 38
20.7%
3 22
 
12.0%
0 18
 
9.8%
5 14
 
7.6%
9 10
 
5.4%
7 10
 
5.4%
4 8
 
4.3%
8 6
 
3.3%
6 2
 
1.1%
Other Punctuation
ValueCountFrequency (%)
& 16
38.1%
' 10
23.8%
. 9
21.4%
, 4
 
9.5%
? 2
 
4.8%
; 1
 
2.4%
Space Separator
ValueCountFrequency (%)
920
100.0%
Close Punctuation
ValueCountFrequency (%)
) 338
100.0%
Open Punctuation
ValueCountFrequency (%)
( 331
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 20109
87.7%
Common 1824
 
8.0%
Latin 997
 
4.3%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 1201
 
6.0%
점 1076
 
5.4%
이 897
 
4.5%
베 653
 
3.2%
커 598
 
3.0%
과 460
 
2.3%
스 439
 
2.2%
제 408
 
2.0%
파 374
 
1.9%
레 336
 
1.7%
Other values (602) 13667
68.0%
Latin
ValueCountFrequency (%)
e 100
 
10.0%
a 65
 
6.5%
o 44
 
4.4%
i 42
 
4.2%
r 41
 
4.1%
B 40
 
4.0%
s 38
 
3.8%
n 35
 
3.5%
S 34
 
3.4%
A 30
 
3.0%
Other values (40) 528
53.0%
Common
ValueCountFrequency (%)
920
50.4%
) 338
 
18.5%
( 331
 
18.1%
2 56
 
3.1%
1 38
 
2.1%
3 22
 
1.2%
0 18
 
1.0%
& 16
 
0.9%
5 14
 
0.8%
9 10
 
0.5%
Other values (11) 61
 
3.3%
Han
ValueCountFrequency (%)
情 2
28.6%
米 1
14.3%
華 1
14.3%
年 1
14.3%
美 1
14.3%
溫 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20109
87.7%
ASCII 2818
 
12.3%
CJK 6
 
< 0.1%
Number Forms 3
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 1201
 
6.0%
점 1076
 
5.4%
이 897
 
4.5%
베 653
 
3.2%
커 598
 
3.0%
과 460
 
2.3%
스 439
 
2.2%
제 408
 
2.0%
파 374
 
1.9%
레 336
 
1.7%
Other values (602) 13667
68.0%
ASCII
ValueCountFrequency (%)
920
32.6%
) 338
 
12.0%
( 331
 
11.7%
e 100
 
3.5%
a 65
 
2.3%
2 56
 
2.0%
o 44
 
1.6%
i 42
 
1.5%
r 41
 
1.5%
B 40
 
1.4%
Other values (60) 841
29.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%
CJK
ValueCountFrequency (%)
情 2
33.3%
米 1
16.7%
華 1
16.7%
美 1
16.7%
溫 1
16.7%
CJK Compat Ideographs
ValueCountFrequency (%)
年 1
100.0%

최종수정시점
Real number (ℝ)

Distinct2885
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0138785 × 1013
Minimum1.9990303 × 1013
Maximum2.0210331 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.6 KiB
2024-04-18T03:58:26.259042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9990303 × 1013
5-th percentile2.0020802 × 1013
Q12.0100302 × 1013
median2.0160223 × 1013
Q32.0190708 × 1013
95-th percentile2.0210122 × 1013
Maximum2.0210331 × 1013
Range2.2002815 × 1011
Interquartile range (IQR)9.0406019 × 1010

Descriptive statistics

Standard deviation6.0202739 × 1010
Coefficient of variation (CV)0.0029893927
Kurtosis-0.62020864
Mean2.0138785 × 1013
Median Absolute Deviation (MAD)4.0082989 × 1010
Skewness-0.71124862
Sum6.2933704 × 1016
Variance3.6243697 × 1021
MonotonicityNot monotonic
2024-04-18T03:58:26.366004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20061226000000 26
 
0.8%
20040823000000 14
 
0.4%
19990318000000 14
 
0.4%
20050614000000 14
 
0.4%
20050615000000 11
 
0.4%
19990319000000 11
 
0.4%
20020802000000 10
 
0.3%
19990317000000 9
 
0.3%
20050525000000 8
 
0.3%
20020801000000 8
 
0.3%
Other values (2875) 3000
96.0%
ValueCountFrequency (%)
19990303000000 1
 
< 0.1%
19990315000000 6
0.2%
19990316000000 5
 
0.2%
19990317000000 9
0.3%
19990318000000 14
0.4%
19990319000000 11
0.4%
19990323000000 2
 
0.1%
19990324000000 1
 
< 0.1%
19990511000000 4
 
0.1%
19990520000000 1
 
< 0.1%
ValueCountFrequency (%)
20210331153639 1
< 0.1%
20210331145930 1
< 0.1%
20210331135211 1
< 0.1%
20210331125910 1
< 0.1%
20210330173913 1
< 0.1%
20210330173806 1
< 0.1%
20210329181843 1
< 0.1%
20210329143043 1
< 0.1%
20210329101249 1
< 0.1%
20210326164937 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
I
2156 
U
969 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2156
69.0%
U 969
31.0%

Length

2024-04-18T03:58:26.461881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:26.534945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2156
69.0%
u 969
31.0%

데이터갱신일자
Date

Distinct526
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-02 02:40:00
2024-04-18T03:58:26.616692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:58:26.728584image/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 size24.5 KiB
제과점영업
3125 

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 3125
100.0%

Length

2024-04-18T03:58:26.832073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:26.914899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 3125
100.0%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct2317
Distinct (%)76.1%
Missing80
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean388335.1
Minimum364927.7
Maximum407434.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.6 KiB
2024-04-18T03:58:27.016031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum364927.7
5-th percentile379285.75
Q1384121.33
median388831.51
Q3392167.58
95-th percentile398147.49
Maximum407434.69
Range42506.995
Interquartile range (IQR)8046.2497

Descriptive statistics

Standard deviation5881.1836
Coefficient of variation (CV)0.01514461
Kurtosis0.24728967
Mean388335.1
Median Absolute Deviation (MAD)3684.1785
Skewness-0.072388218
Sum1.1824804 × 109
Variance34588320
MonotonicityNot monotonic
2024-04-18T03:58:27.144189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
393952.264486105 63
 
2.0%
387271.299492377 24
 
0.8%
385590.814676765 21
 
0.7%
387539.767677801 21
 
0.7%
390120.394129863 15
 
0.5%
392474.578116018 13
 
0.4%
394083.501537578 12
 
0.4%
386163.228186082 12
 
0.4%
394482.139208377 12
 
0.4%
380225.635401772 12
 
0.4%
Other values (2307) 2840
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 

Distinct2318
Distinct (%)76.1%
Missing80
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean187270.3
Minimum170813.58
Maximum206353.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.6 KiB
2024-04-18T03:58:27.480788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum170813.58
5-th percentile178451.23
Q1183633.94
median187456.38
Q3190976.29
95-th percentile196633.23
Maximum206353.86
Range35540.271
Interquartile range (IQR)7342.3415

Descriptive statistics

Standard deviation5851.4923
Coefficient of variation (CV)0.031246238
Kurtosis0.34400182
Mean187270.3
Median Absolute Deviation (MAD)3633.9572
Skewness0.33541561
Sum5.7023807 × 108
Variance34239963
MonotonicityNot monotonic
2024-04-18T03:58:27.584903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187602.933160728 63
 
2.0%
186099.137533193 24
 
0.8%
179553.867031936 21
 
0.7%
184402.96650913 21
 
0.7%
194600.671124104 15
 
0.5%
183052.21115244 13
 
0.4%
187707.586117775 12
 
0.4%
181532.301423753 12
 
0.4%
187606.035424193 12
 
0.4%
186791.519406736 12
 
0.4%
Other values (2308) 2840
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 size24.5 KiB
제과점영업
3125 

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 3125
100.0%

Length

2024-04-18T03:58:27.707162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:27.798065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 3125
100.0%

남성종사자수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
<NA>
2037 
0
1002 
1
 
68
2
 
13
3
 
3

Length

Max length4
Median length4
Mean length2.95552
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> 2037
65.2%
0 1002
32.1%
1 68
 
2.2%
2 13
 
0.4%
3 3
 
0.1%
4 2
 
0.1%

Length

2024-04-18T03:58:27.891922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:27.977625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2037
65.2%
0 1002
32.1%
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%
Missing2032
Missing (%)65.0%
Infinite0
Infinite (%)0.0%
Mean0.11436414
Minimum0
Maximum11
Zeros998
Zeros (%)31.9%
Negative0
Negative (%)0.0%
Memory size27.6 KiB
2024-04-18T03:58:28.055018image/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
2024-04-18T03:58:28.129180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 998
31.9%
1 79
 
2.5%
2 12
 
0.4%
4 2
 
0.1%
3 1
 
< 0.1%
11 1
 
< 0.1%
(Missing) 2032
65.0%
ValueCountFrequency (%)
0 998
31.9%
1 79
 
2.5%
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
 
2.5%
0 998
31.9%

영업장주변구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
<NA>
2116 
기타
718 
주택가주변
 
149
아파트지역
 
100
유흥업소밀집지역
 
30
Other values (2)
 
12

Length

Max length8
Median length4
Mean length3.6736
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2116
67.7%
기타 718
 
23.0%
주택가주변 149
 
4.8%
아파트지역 100
 
3.2%
유흥업소밀집지역 30
 
1.0%
학교정화(상대) 11
 
0.4%
결혼예식장주변 1
 
< 0.1%

Length

2024-04-18T03:58:28.226123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:28.313764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2116
67.7%
기타 718
 
23.0%
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 size24.5 KiB
<NA>
2266 
기타
603 
자율
250 
우수
 
3
지도
 
2

Length

Max length4
Median length4
Mean length3.45024
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2266
72.5%
기타 603
 
19.3%
자율 250
 
8.0%
우수 3
 
0.1%
지도 2
 
0.1%
관리 1
 
< 0.1%

Length

2024-04-18T03:58:28.435965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:28.547634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2266
72.5%
기타 603
 
19.3%
자율 250
 
8.0%
우수 3
 
0.1%
지도 2
 
0.1%
관리 1
 
< 0.1%

급수시설구분명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
상수도전용
1615 
<NA>
1507 
간이상수도
 
2
지하수전용
 
1

Length

Max length5
Median length5
Mean length4.51776
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 1615
51.7%
<NA> 1507
48.2%
간이상수도 2
 
0.1%
지하수전용 1
 
< 0.1%

Length

2024-04-18T03:58:28.634859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:28.713957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 1615
51.7%
na 1507
48.2%
간이상수도 2
 
0.1%
지하수전용 1
 
< 0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3125
Missing (%)100.0%
Memory size27.6 KiB

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
<NA>
3120 
0
 
5

Length

Max length4
Median length4
Mean length3.9952
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> 3120
99.8%
0 5
 
0.2%

Length

2024-04-18T03:58:28.803734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:28.891940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3120
99.8%
0 5
 
0.2%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
<NA>
3120 
0
 
5

Length

Max length4
Median length4
Mean length3.9952
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> 3120
99.8%
0 5
 
0.2%

Length

2024-04-18T03:58:28.971518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:29.048896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3120
99.8%
0 5
 
0.2%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
<NA>
3120 
0
 
5

Length

Max length4
Median length4
Mean length3.9952
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> 3120
99.8%
0 5
 
0.2%

Length

2024-04-18T03:58:29.129439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:29.207042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3120
99.8%
0 5
 
0.2%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
<NA>
3120 
0
 
5

Length

Max length4
Median length4
Mean length3.9952
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> 3120
99.8%
0 5
 
0.2%

Length

2024-04-18T03:58:29.288630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:29.365474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3120
99.8%
0 5
 
0.2%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3125
Missing (%)100.0%
Memory size27.6 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
<NA>
3120 
0
 
5

Length

Max length4
Median length4
Mean length3.9952
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> 3120
99.8%
0 5
 
0.2%

Length

2024-04-18T03:58:29.447692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:29.525861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3120
99.8%
0 5
 
0.2%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
<NA>
3120 
0
 
5

Length

Max length4
Median length4
Mean length3.9952
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> 3120
99.8%
0 5
 
0.2%

Length

2024-04-18T03:58:29.606310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:58:29.684758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3120
99.8%
0 5
 
0.2%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
False
3074 
True
 
51
ValueCountFrequency (%)
False 3074
98.4%
True 51
 
1.6%
2024-04-18T03:58:29.744980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct2121
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.82417
Minimum0
Maximum780.5
Zeros226
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size27.6 KiB
2024-04-18T03:58:29.827328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121
median36.4
Q362.84
95-th percentile134.29
Maximum780.5
Range780.5
Interquartile range (IQR)41.84

Descriptive statistics

Standard deviation53.013521
Coefficient of variation (CV)1.0640121
Kurtosis41.294362
Mean49.82417
Median Absolute Deviation (MAD)19.4
Skewness4.5387498
Sum155700.53
Variance2810.4334
MonotonicityNot monotonic
2024-04-18T03:58:29.939720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 226
 
7.2%
33.0 18
 
0.6%
24.0 17
 
0.5%
20.0 13
 
0.4%
25.0 11
 
0.4%
36.0 11
 
0.4%
15.0 11
 
0.4%
42.0 11
 
0.4%
26.0 11
 
0.4%
30.0 10
 
0.3%
Other values (2111) 2786
89.2%
ValueCountFrequency (%)
0.0 226
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%
Missing3124
Missing (%)> 99.9%
Memory size24.5 KiB
2024-04-18T03:58:30.011647image/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%
2024-04-18T03:58:30.151809image/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 

Missing3125
Missing (%)100.0%
Memory size27.6 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3125
Missing (%)100.0%
Memory size27.6 KiB

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3125
Missing (%)100.0%
Memory size27.6 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
01제과점영업07_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>
12제과점영업07_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>
23제과점영업07_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>
34제과점영업07_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>
45제과점영업07_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>
56제과점영업07_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>
67제과점영업07_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>
78제과점영업07_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>
89제과점영업07_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>
910제과점영업07_22_18_P32600003260000-121-2007-0005120021128<NA>1영업/정상1영업<NA><NA><NA><NA>051 257 222064.19602811부산광역시 서구 동대신동2가 331-2부산광역시 서구 구덕로 320 (동대신동2가)49217모젤과자점20210105164825U2021-01-07 02:40:00.0제과점영업383799.588946181106.417946제과점영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N64.19<NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
31153116제과점영업07_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>
31163117제과점영업07_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>
31173118제과점영업07_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>
31183119제과점영업07_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>
31193120제과점영업07_22_18_P33100003310000-121-2018-0001720181112<NA>3폐업2폐업20210215<NA><NA><NA><NA>12.08608090부산광역시 남구 용호동 954 더블유부산광역시 남구 분포로 145, 더블유스퀘어동 2층 2105호 (용호동, 더블유)48515이공이공(2020)20210215101432U2021-02-17 02:40:00.0제과점영업392495.046848183633.944535제과점영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N12.08<NA><NA><NA><NA>
31203121제과점영업07_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>
31213122제과점영업07_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>
31223123제과점영업07_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>
31233124제과점영업07_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>
31243125제과점영업07_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>