Overview

Dataset statistics

Number of variables48
Number of observations4850
Missing cells56872
Missing cells (%)24.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 MiB
Average record size in memory413.0 B

Variable types

Numeric12
Categorical19
Text6
Unsupported9
DateTime1
Boolean1

Dataset

Description2021-02-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123093

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
남성종사자수 is highly imbalanced (67.1%)Imbalance
영업장주변구분명 is highly imbalanced (69.2%)Imbalance
등급구분명 is highly imbalanced (59.8%)Imbalance
급수시설구분명 is highly imbalanced (53.8%)Imbalance
공장사무직종업원수 is highly imbalanced (99.7%)Imbalance
공장판매직종업원수 is highly imbalanced (99.7%)Imbalance
공장생산직종업원수 is highly imbalanced (99.7%)Imbalance
건물소유구분명 is highly imbalanced (73.4%)Imbalance
다중이용업소여부 is highly imbalanced (98.6%)Imbalance
인허가취소일자 has 4850 (100.0%) missing valuesMissing
폐업일자 has 2940 (60.6%) missing valuesMissing
휴업시작일자 has 4850 (100.0%) missing valuesMissing
휴업종료일자 has 4850 (100.0%) missing valuesMissing
재개업일자 has 4850 (100.0%) missing valuesMissing
소재지전화 has 551 (11.4%) missing valuesMissing
소재지면적 has 1098 (22.6%) missing valuesMissing
소재지우편번호 has 161 (3.3%) missing valuesMissing
도로명전체주소 has 815 (16.8%) missing valuesMissing
도로명우편번호 has 875 (18.0%) missing valuesMissing
좌표정보(x) has 234 (4.8%) missing valuesMissing
좌표정보(y) has 234 (4.8%) missing valuesMissing
여성종사자수 has 4279 (88.2%) missing valuesMissing
총종업원수 has 4850 (100.0%) missing valuesMissing
본사종업원수 has 2024 (41.7%) missing valuesMissing
전통업소지정번호 has 4850 (100.0%) missing valuesMissing
전통업소주된음식 has 4850 (100.0%) missing valuesMissing
홈페이지 has 4850 (100.0%) missing valuesMissing
Unnamed: 47 has 4850 (100.0%) missing valuesMissing
폐업일자 is highly skewed (γ1 = -37.61593474)Skewed
본사종업원수 is highly skewed (γ1 = 27.40318334)Skewed
시설총규모 is highly skewed (γ1 = 38.24302408)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 47 is an unsupported type, check if it needs cleaning or further analysisUnsupported
여성종사자수 has 532 (11.0%) zerosZeros
본사종업원수 has 2538 (52.3%) zerosZeros
시설총규모 has 1867 (38.5%) zerosZeros

Reproduction

Analysis started2024-04-17 13:16:55.665583
Analysis finished2024-04-17 13:16:57.070389
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4850
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2425.5
Minimum1
Maximum4850
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.8 KiB
2024-04-17T22:16:57.126310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile243.45
Q11213.25
median2425.5
Q33637.75
95-th percentile4607.55
Maximum4850
Range4849
Interquartile range (IQR)2424.5

Descriptive statistics

Standard deviation1400.2187
Coefficient of variation (CV)0.57729076
Kurtosis-1.2
Mean2425.5
Median Absolute Deviation (MAD)1212.5
Skewness0
Sum11763675
Variance1960612.5
MonotonicityStrictly increasing
2024-04-17T22:16:57.239915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3241 1
 
< 0.1%
3239 1
 
< 0.1%
3238 1
 
< 0.1%
3237 1
 
< 0.1%
3236 1
 
< 0.1%
3235 1
 
< 0.1%
3234 1
 
< 0.1%
3233 1
 
< 0.1%
3232 1
 
< 0.1%
Other values (4840) 4840
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
4850 1
< 0.1%
4849 1
< 0.1%
4848 1
< 0.1%
4847 1
< 0.1%
4846 1
< 0.1%
4845 1
< 0.1%
4844 1
< 0.1%
4843 1
< 0.1%
4842 1
< 0.1%
4841 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
집단급식소
4850 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소 4850
100.0%

Length

2024-04-17T22:16:57.347550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:16:57.418548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 4850
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
07_21_02_P
4850 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_21_02_P
2nd row07_21_02_P
3rd row07_21_02_P
4th row07_21_02_P
5th row07_21_02_P

Common Values

ValueCountFrequency (%)
07_21_02_P 4850
100.0%

Length

2024-04-17T22:16:57.490378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:16:57.562727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_21_02_p 4850
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3334263.9
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.8 KiB
2024-04-17T22:16:57.631069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13300000
median3340000
Q33360000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation39991.292
Coefficient of variation (CV)0.011994039
Kurtosis-0.87297922
Mean3334263.9
Median Absolute Deviation (MAD)30000
Skewness-0.1543015
Sum1.617118 × 1010
Variance1.5993034 × 109
MonotonicityNot monotonic
2024-04-17T22:16:57.730790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3360000 633
13.1%
3340000 496
10.2%
3330000 413
8.5%
3290000 407
8.4%
3390000 374
 
7.7%
3310000 313
 
6.5%
3400000 313
 
6.5%
3300000 309
 
6.4%
3350000 306
 
6.3%
3320000 305
 
6.3%
Other values (6) 981
20.2%
ValueCountFrequency (%)
3250000 80
 
1.6%
3260000 173
 
3.6%
3270000 148
 
3.1%
3280000 182
 
3.8%
3290000 407
8.4%
3300000 309
6.4%
3310000 313
6.5%
3320000 305
6.3%
3330000 413
8.5%
3340000 496
10.2%
ValueCountFrequency (%)
3400000 313
6.5%
3390000 374
7.7%
3380000 169
 
3.5%
3370000 229
 
4.7%
3360000 633
13.1%
3350000 306
6.3%
3340000 496
10.2%
3330000 413
8.5%
3320000 305
6.3%
3310000 313
6.5%

관리번호
Text

UNIQUE 

Distinct4850
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
2024-04-17T22:16:57.902519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters106700
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

Unique4850 ?
Unique (%)100.0%

Sample

1st row3310000-105-2014-00005
2nd row3300000-105-1999-00034
3rd row3330000-105-2017-00002
4th row3330000-105-2017-00003
5th row3330000-105-2017-00004
ValueCountFrequency (%)
3310000-105-2014-00005 1
 
< 0.1%
3370000-105-1994-00017 1
 
< 0.1%
3370000-105-1990-00010 1
 
< 0.1%
3370000-105-1983-00005 1
 
< 0.1%
3340000-105-1989-00009 1
 
< 0.1%
3340000-105-1987-00008 1
 
< 0.1%
3340000-105-1987-00007 1
 
< 0.1%
3340000-105-1987-00003 1
 
< 0.1%
3340000-105-2010-00006 1
 
< 0.1%
3340000-105-2010-00004 1
 
< 0.1%
Other values (4840) 4840
99.8%
2024-04-17T22:16:58.161036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 48660
45.6%
- 14550
 
13.6%
1 10129
 
9.5%
3 10102
 
9.5%
2 7075
 
6.6%
5 6273
 
5.9%
9 3202
 
3.0%
4 1917
 
1.8%
6 1906
 
1.8%
8 1495
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 92150
86.4%
Dash Punctuation 14550
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 48660
52.8%
1 10129
 
11.0%
3 10102
 
11.0%
2 7075
 
7.7%
5 6273
 
6.8%
9 3202
 
3.5%
4 1917
 
2.1%
6 1906
 
2.1%
8 1495
 
1.6%
7 1391
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 14550
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 106700
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 48660
45.6%
- 14550
 
13.6%
1 10129
 
9.5%
3 10102
 
9.5%
2 7075
 
6.6%
5 6273
 
5.9%
9 3202
 
3.0%
4 1917
 
1.8%
6 1906
 
1.8%
8 1495
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 106700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 48660
45.6%
- 14550
 
13.6%
1 10129
 
9.5%
3 10102
 
9.5%
2 7075
 
6.6%
5 6273
 
5.9%
9 3202
 
3.0%
4 1917
 
1.8%
6 1906
 
1.8%
8 1495
 
1.4%

인허가일자
Real number (ℝ)

Distinct2976
Distinct (%)61.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20077806
Minimum19670101
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.8 KiB
2024-04-17T22:16:58.284722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19670101
5-th percentile19910866
Q120020926
median20080706
Q320140829
95-th percentile20191002
Maximum20201231
Range531130
Interquartile range (IQR)119903

Descriptive statistics

Standard deviation82260.987
Coefficient of variation (CV)0.0040971103
Kurtosis0.61133504
Mean20077806
Median Absolute Deviation (MAD)60009.5
Skewness-0.69183156
Sum9.7377361 × 1010
Variance6.76687 × 109
MonotonicityNot monotonic
2024-04-17T22:16:58.418839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19900518 29
 
0.6%
19900330 25
 
0.5%
19980427 24
 
0.5%
19870528 18
 
0.4%
19900612 17
 
0.4%
20000529 17
 
0.4%
19980511 16
 
0.3%
19890622 14
 
0.3%
19900326 14
 
0.3%
19991130 13
 
0.3%
Other values (2966) 4663
96.1%
ValueCountFrequency (%)
19670101 1
 
< 0.1%
19690901 1
 
< 0.1%
19691120 1
 
< 0.1%
19701015 1
 
< 0.1%
19710518 1
 
< 0.1%
19740116 3
0.1%
19740201 1
 
< 0.1%
19750101 1
 
< 0.1%
19760101 1
 
< 0.1%
19760110 1
 
< 0.1%
ValueCountFrequency (%)
20201231 1
< 0.1%
20201230 2
< 0.1%
20201229 1
< 0.1%
20201222 1
< 0.1%
20201215 2
< 0.1%
20201214 1
< 0.1%
20201211 2
< 0.1%
20201209 1
< 0.1%
20201208 1
< 0.1%
20201204 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4850
Missing (%)100.0%
Memory size42.8 KiB
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
1
2940 
3
1910 

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 (%)
1 2940
60.6%
3 1910
39.4%

Length

2024-04-17T22:16:58.527979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:16:58.606479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2940
60.6%
3 1910
39.4%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
영업/정상
2940 
폐업
1910 

Length

Max length5
Median length5
Mean length3.8185567
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 (%)
영업/정상 2940
60.6%
폐업 1910
39.4%

Length

2024-04-17T22:16:58.697578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:16:58.781148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 2940
60.6%
폐업 1910
39.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
1
2940 
2
1910 

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 (%)
1 2940
60.6%
2 1910
39.4%

Length

2024-04-17T22:16:58.861175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:16:58.934008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2940
60.6%
2 1910
39.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
영업
2940 
폐업
1910 

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 (%)
영업 2940
60.6%
폐업 1910
39.4%

Length

2024-04-17T22:16:59.013911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:16:59.088782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 2940
60.6%
폐업 1910
39.4%

폐업일자
Real number (ℝ)

MISSING  SKEWED 

Distinct1406
Distinct (%)73.6%
Missing2940
Missing (%)60.6%
Infinite0
Infinite (%)0.0%
Mean20127310
Minimum11920429
Maximum20201230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.8 KiB
2024-04-17T22:16:59.182558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11920429
5-th percentile20001048
Q120091110
median20150419
Q320180516
95-th percentile20200601
Maximum20201230
Range8280801
Interquartile range (IQR)89406

Descriptive statistics

Standard deviation197558.44
Coefficient of variation (CV)0.0098154415
Kurtosis1561.9343
Mean20127310
Median Absolute Deviation (MAD)39809
Skewness-37.615935
Sum3.8443163 × 1010
Variance3.9029336 × 1010
MonotonicityNot monotonic
2024-04-17T22:16:59.293782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180704 11
 
0.2%
19960615 10
 
0.2%
20100608 8
 
0.2%
20040624 7
 
0.1%
20200609 7
 
0.1%
20070322 6
 
0.1%
20140829 5
 
0.1%
20190719 5
 
0.1%
20190521 5
 
0.1%
20080325 5
 
0.1%
Other values (1396) 1841
38.0%
(Missing) 2940
60.6%
ValueCountFrequency (%)
11920429 1
< 0.1%
19870309 1
< 0.1%
19891110 1
< 0.1%
19900621 1
< 0.1%
19950331 1
< 0.1%
19950412 1
< 0.1%
19950417 1
< 0.1%
19950502 1
< 0.1%
19950503 1
< 0.1%
19950530 2
< 0.1%
ValueCountFrequency (%)
20201230 2
< 0.1%
20201224 1
< 0.1%
20201222 2
< 0.1%
20201211 1
< 0.1%
20201127 1
< 0.1%
20201124 1
< 0.1%
20201120 1
< 0.1%
20201117 2
< 0.1%
20201112 1
< 0.1%
20201110 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4850
Missing (%)100.0%
Memory size42.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4850
Missing (%)100.0%
Memory size42.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4850
Missing (%)100.0%
Memory size42.8 KiB

소재지전화
Text

MISSING 

Distinct3907
Distinct (%)90.9%
Missing551
Missing (%)11.4%
Memory size38.0 KiB
2024-04-17T22:16:59.595178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.257734
Min length3

Characters and Unicode

Total characters48397
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

Unique3657 ?
Unique (%)85.1%

Sample

1st row051 626 3691
2nd row070 82804784
3rd row051 742 2365
4th row051 720 9000
5th row051 746 2619
ValueCountFrequency (%)
051 3982
37.8%
831 78
 
0.7%
070 52
 
0.5%
727 47
 
0.4%
330 38
 
0.4%
728 31
 
0.3%
332 27
 
0.3%
200 20
 
0.2%
714 19
 
0.2%
361 18
 
0.2%
Other values (3930) 6220
59.1%
2024-04-17T22:16:59.992625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8582
17.7%
1 7376
15.2%
5 7172
14.8%
6274
13.0%
2 3458
7.1%
3 3111
 
6.4%
7 2958
 
6.1%
6 2708
 
5.6%
8 2457
 
5.1%
4 2321
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42123
87.0%
Space Separator 6274
 
13.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8582
20.4%
1 7376
17.5%
5 7172
17.0%
2 3458
8.2%
3 3111
 
7.4%
7 2958
 
7.0%
6 2708
 
6.4%
8 2457
 
5.8%
4 2321
 
5.5%
9 1980
 
4.7%
Space Separator
ValueCountFrequency (%)
6274
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 48397
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8582
17.7%
1 7376
15.2%
5 7172
14.8%
6274
13.0%
2 3458
7.1%
3 3111
 
6.4%
7 2958
 
6.1%
6 2708
 
5.6%
8 2457
 
5.1%
4 2321
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48397
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8582
17.7%
1 7376
15.2%
5 7172
14.8%
6274
13.0%
2 3458
7.1%
3 3111
 
6.4%
7 2958
 
6.1%
6 2708
 
5.6%
8 2457
 
5.1%
4 2321
 
4.8%

소재지면적
Text

MISSING 

Distinct2324
Distinct (%)61.9%
Missing1098
Missing (%)22.6%
Memory size38.0 KiB
2024-04-17T22:17:00.260580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.8949893
Min length3

Characters and Unicode

Total characters18366
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1948 ?
Unique (%)51.9%

Sample

1st row16.12
2nd row581.56
3rd row70.01
4th row111.10
5th row67.32
ValueCountFrequency (%)
00 747
 
19.9%
1.00 20
 
0.5%
12.00 19
 
0.5%
20.00 14
 
0.4%
8.00 13
 
0.3%
10.00 10
 
0.3%
25.00 10
 
0.3%
9.00 9
 
0.2%
18.00 9
 
0.2%
16.00 8
 
0.2%
Other values (2314) 2893
77.1%
2024-04-17T22:17:00.854224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3946
21.5%
. 3752
20.4%
1 2002
10.9%
2 1442
 
7.9%
3 1132
 
6.2%
4 1111
 
6.0%
5 1104
 
6.0%
6 1040
 
5.7%
8 1002
 
5.5%
9 918
 
5.0%
Other values (2) 917
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14582
79.4%
Other Punctuation 3784
 
20.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3946
27.1%
1 2002
13.7%
2 1442
 
9.9%
3 1132
 
7.8%
4 1111
 
7.6%
5 1104
 
7.6%
6 1040
 
7.1%
8 1002
 
6.9%
9 918
 
6.3%
7 885
 
6.1%
Other Punctuation
ValueCountFrequency (%)
. 3752
99.2%
, 32
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Common 18366
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3946
21.5%
. 3752
20.4%
1 2002
10.9%
2 1442
 
7.9%
3 1132
 
6.2%
4 1111
 
6.0%
5 1104
 
6.0%
6 1040
 
5.7%
8 1002
 
5.5%
9 918
 
5.0%
Other values (2) 917
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18366
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3946
21.5%
. 3752
20.4%
1 2002
10.9%
2 1442
 
7.9%
3 1132
 
6.2%
4 1111
 
6.0%
5 1104
 
6.0%
6 1040
 
5.7%
8 1002
 
5.5%
9 918
 
5.0%
Other values (2) 917
 
5.0%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct768
Distinct (%)16.4%
Missing161
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean611807.18
Minimum600012
Maximum619953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.8 KiB
2024-04-17T22:17:00.979563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600012
5-th percentile602030
Q1607809
median612811
Q3616854
95-th percentile618819
Maximum619953
Range19941
Interquartile range (IQR)9045

Descriptive statistics

Standard deviation5538.4889
Coefficient of variation (CV)0.0090526706
Kurtosis-1.1198384
Mean611807.18
Median Absolute Deviation (MAD)4992
Skewness-0.27548754
Sum2.8687639 × 109
Variance30674859
MonotonicityNot monotonic
2024-04-17T22:17:01.098370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
618819 79
 
1.6%
618230 72
 
1.5%
618818 62
 
1.3%
618817 58
 
1.2%
618820 56
 
1.2%
604836 46
 
0.9%
618280 33
 
0.7%
618220 32
 
0.7%
618814 32
 
0.7%
606080 30
 
0.6%
Other values (758) 4189
86.4%
(Missing) 161
 
3.3%
ValueCountFrequency (%)
600012 5
0.1%
600013 3
0.1%
600015 4
0.1%
600016 1
 
< 0.1%
600017 2
 
< 0.1%
600021 1
 
< 0.1%
600022 1
 
< 0.1%
600023 2
 
< 0.1%
600025 1
 
< 0.1%
600033 1
 
< 0.1%
ValueCountFrequency (%)
619953 9
0.2%
619952 20
0.4%
619951 16
0.3%
619950 1
 
< 0.1%
619913 8
 
0.2%
619912 14
0.3%
619911 3
 
0.1%
619906 17
0.4%
619905 5
 
0.1%
619904 5
 
0.1%
Distinct4217
Distinct (%)87.1%
Missing11
Missing (%)0.2%
Memory size38.0 KiB
2024-04-17T22:17:01.372031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length57
Mean length23.320107
Min length15

Characters and Unicode

Total characters112846
Distinct characters436
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3726 ?
Unique (%)77.0%

Sample

1st row부산광역시 남구 용호동 393-4번지
2nd row부산광역시 동래구 명장동 151-5번지 충렬고등학교
3rd row부산광역시 해운대구 좌동 1363-1번지
4th row부산광역시 해운대구 우동 1505
5th row부산광역시 해운대구 중동 228-8번지
ValueCountFrequency (%)
부산광역시 4839
 
22.3%
강서구 631
 
2.9%
사하구 495
 
2.3%
해운대구 413
 
1.9%
부산진구 406
 
1.9%
사상구 375
 
1.7%
남구 313
 
1.4%
기장군 312
 
1.4%
동래구 310
 
1.4%
북구 305
 
1.4%
Other values (4652) 13301
61.3%
2024-04-17T22:17:01.771577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16879
 
15.0%
5785
 
5.1%
5606
 
5.0%
5420
 
4.8%
5020
 
4.4%
1 4966
 
4.4%
4953
 
4.4%
4895
 
4.3%
4845
 
4.3%
4746
 
4.2%
Other values (426) 49731
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70136
62.2%
Decimal Number 21353
 
18.9%
Space Separator 16879
 
15.0%
Dash Punctuation 3668
 
3.3%
Uppercase Letter 404
 
0.4%
Open Punctuation 145
 
0.1%
Close Punctuation 143
 
0.1%
Other Punctuation 99
 
0.1%
Lowercase Letter 17
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5785
 
8.2%
5606
 
8.0%
5420
 
7.7%
5020
 
7.2%
4953
 
7.1%
4895
 
7.0%
4845
 
6.9%
4746
 
6.8%
4528
 
6.5%
1100
 
1.6%
Other values (374) 23238
33.1%
Uppercase Letter
ValueCountFrequency (%)
B 149
36.9%
T 129
31.9%
A 29
 
7.2%
L 17
 
4.2%
K 13
 
3.2%
S 12
 
3.0%
C 12
 
3.0%
H 10
 
2.5%
I 8
 
2.0%
Y 3
 
0.7%
Other values (11) 22
 
5.4%
Decimal Number
ValueCountFrequency (%)
1 4966
23.3%
2 2615
12.2%
3 2234
10.5%
5 2036
9.5%
4 1964
 
9.2%
0 1617
 
7.6%
6 1610
 
7.5%
7 1588
 
7.4%
8 1455
 
6.8%
9 1268
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
i 5
29.4%
e 5
29.4%
c 2
 
11.8%
l 2
 
11.8%
s 1
 
5.9%
o 1
 
5.9%
k 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 71
71.7%
: 11
 
11.1%
. 7
 
7.1%
& 4
 
4.0%
@ 3
 
3.0%
/ 3
 
3.0%
Open Punctuation
ValueCountFrequency (%)
( 144
99.3%
[ 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 142
99.3%
] 1
 
0.7%
Space Separator
ValueCountFrequency (%)
16879
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3668
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70136
62.2%
Common 42288
37.5%
Latin 422
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5785
 
8.2%
5606
 
8.0%
5420
 
7.7%
5020
 
7.2%
4953
 
7.1%
4895
 
7.0%
4845
 
6.9%
4746
 
6.8%
4528
 
6.5%
1100
 
1.6%
Other values (374) 23238
33.1%
Latin
ValueCountFrequency (%)
B 149
35.3%
T 129
30.6%
A 29
 
6.9%
L 17
 
4.0%
K 13
 
3.1%
S 12
 
2.8%
C 12
 
2.8%
H 10
 
2.4%
I 8
 
1.9%
i 5
 
1.2%
Other values (19) 38
 
9.0%
Common
ValueCountFrequency (%)
16879
39.9%
1 4966
 
11.7%
- 3668
 
8.7%
2 2615
 
6.2%
3 2234
 
5.3%
5 2036
 
4.8%
4 1964
 
4.6%
0 1617
 
3.8%
6 1610
 
3.8%
7 1588
 
3.8%
Other values (13) 3111
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70136
62.2%
ASCII 42709
37.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16879
39.5%
1 4966
 
11.6%
- 3668
 
8.6%
2 2615
 
6.1%
3 2234
 
5.2%
5 2036
 
4.8%
4 1964
 
4.6%
0 1617
 
3.8%
6 1610
 
3.8%
7 1588
 
3.7%
Other values (41) 3532
 
8.3%
Hangul
ValueCountFrequency (%)
5785
 
8.2%
5606
 
8.0%
5420
 
7.7%
5020
 
7.2%
4953
 
7.1%
4895
 
7.0%
4845
 
6.9%
4746
 
6.8%
4528
 
6.5%
1100
 
1.6%
Other values (374) 23238
33.1%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명전체주소
Text

MISSING 

Distinct3634
Distinct (%)90.1%
Missing815
Missing (%)16.8%
Memory size38.0 KiB
2024-04-17T22:17:02.082196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length53
Mean length28.636183
Min length19

Characters and Unicode

Total characters115547
Distinct characters478
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

Unique3306 ?
Unique (%)81.9%

Sample

1st row부산광역시 남구 동명로146번길 3 (용호동)
2nd row부산광역시 동래구 명장로106번길 26, 충렬고등학교 (명장동)
3rd row부산광역시 해운대구 좌동순환로15번길 24 (좌동, 장산마을아파트)
4th row부산광역시 해운대구 센텀3로 20, 지하2층 (우동, 센텀호텔 지하2층)
5th row부산광역시 해운대구 대천로42번길 42, 1층 (중동)
ValueCountFrequency (%)
부산광역시 4035
 
18.0%
강서구 535
 
2.4%
사하구 393
 
1.8%
해운대구 354
 
1.6%
1층 325
 
1.5%
부산진구 314
 
1.4%
동래구 278
 
1.2%
기장군 268
 
1.2%
남구 265
 
1.2%
금정구 264
 
1.2%
Other values (3646) 15335
68.6%
2024-04-17T22:17:02.511085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18350
 
15.9%
5422
 
4.7%
4947
 
4.3%
4721
 
4.1%
4213
 
3.6%
4204
 
3.6%
4040
 
3.5%
3989
 
3.5%
3903
 
3.4%
( 3902
 
3.4%
Other values (468) 57856
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70372
60.9%
Space Separator 18350
 
15.9%
Decimal Number 16651
 
14.4%
Open Punctuation 3902
 
3.4%
Close Punctuation 3900
 
3.4%
Other Punctuation 1667
 
1.4%
Dash Punctuation 526
 
0.5%
Uppercase Letter 157
 
0.1%
Lowercase Letter 14
 
< 0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5422
 
7.7%
4947
 
7.0%
4721
 
6.7%
4213
 
6.0%
4204
 
6.0%
4040
 
5.7%
3989
 
5.7%
3903
 
5.5%
1804
 
2.6%
1725
 
2.5%
Other values (420) 31404
44.6%
Uppercase Letter
ValueCountFrequency (%)
B 32
20.4%
A 21
13.4%
C 20
12.7%
K 13
8.3%
S 12
 
7.6%
H 9
 
5.7%
L 9
 
5.7%
E 8
 
5.1%
P 5
 
3.2%
T 4
 
2.5%
Other values (10) 24
15.3%
Decimal Number
ValueCountFrequency (%)
1 3683
22.1%
2 2371
14.2%
3 1903
11.4%
4 1527
9.2%
5 1416
 
8.5%
6 1360
 
8.2%
7 1252
 
7.5%
0 1241
 
7.5%
9 1030
 
6.2%
8 868
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 5
35.7%
c 3
21.4%
l 2
 
14.3%
k 1
 
7.1%
s 1
 
7.1%
i 1
 
7.1%
o 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 1647
98.8%
: 6
 
0.4%
. 5
 
0.3%
& 4
 
0.2%
@ 3
 
0.2%
/ 2
 
0.1%
Space Separator
ValueCountFrequency (%)
18350
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3902
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3900
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 526
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70372
60.9%
Common 45004
38.9%
Latin 171
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5422
 
7.7%
4947
 
7.0%
4721
 
6.7%
4213
 
6.0%
4204
 
6.0%
4040
 
5.7%
3989
 
5.7%
3903
 
5.5%
1804
 
2.6%
1725
 
2.5%
Other values (420) 31404
44.6%
Latin
ValueCountFrequency (%)
B 32
18.7%
A 21
12.3%
C 20
11.7%
K 13
 
7.6%
S 12
 
7.0%
H 9
 
5.3%
L 9
 
5.3%
E 8
 
4.7%
P 5
 
2.9%
e 5
 
2.9%
Other values (17) 37
21.6%
Common
ValueCountFrequency (%)
18350
40.8%
( 3902
 
8.7%
) 3900
 
8.7%
1 3683
 
8.2%
2 2371
 
5.3%
3 1903
 
4.2%
, 1647
 
3.7%
4 1527
 
3.4%
5 1416
 
3.1%
6 1360
 
3.0%
Other values (11) 4945
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70372
60.9%
ASCII 45175
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18350
40.6%
( 3902
 
8.6%
) 3900
 
8.6%
1 3683
 
8.2%
2 2371
 
5.2%
3 1903
 
4.2%
, 1647
 
3.6%
4 1527
 
3.4%
5 1416
 
3.1%
6 1360
 
3.0%
Other values (38) 5116
 
11.3%
Hangul
ValueCountFrequency (%)
5422
 
7.7%
4947
 
7.0%
4721
 
6.7%
4213
 
6.0%
4204
 
6.0%
4040
 
5.7%
3989
 
5.7%
3903
 
5.5%
1804
 
2.6%
1725
 
2.5%
Other values (420) 31404
44.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1424
Distinct (%)35.8%
Missing875
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean47646.09
Minimum46000
Maximum49526
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.8 KiB
2024-04-17T22:17:02.650449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46000
5-th percentile46049.7
Q146743
median47570
Q348492
95-th percentile49438
Maximum49526
Range3526
Interquartile range (IQR)1749

Descriptive statistics

Standard deviation1068.9977
Coefficient of variation (CV)0.02243621
Kurtosis-1.1683602
Mean47646.09
Median Absolute Deviation (MAD)842
Skewness0.2323966
Sum1.8939321 × 108
Variance1142756.1
MonotonicityNot monotonic
2024-04-17T22:17:02.785423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46742 50
 
1.0%
46753 47
 
1.0%
46754 40
 
0.8%
46757 36
 
0.7%
46752 28
 
0.6%
46755 27
 
0.6%
46726 25
 
0.5%
46751 25
 
0.5%
46744 19
 
0.4%
46004 17
 
0.4%
Other values (1414) 3661
75.5%
(Missing) 875
 
18.0%
ValueCountFrequency (%)
46000 1
 
< 0.1%
46002 7
0.1%
46004 17
0.4%
46005 2
 
< 0.1%
46006 3
 
0.1%
46007 3
 
0.1%
46008 5
 
0.1%
46009 4
 
0.1%
46010 2
 
< 0.1%
46011 5
 
0.1%
ValueCountFrequency (%)
49526 5
0.1%
49525 2
 
< 0.1%
49524 2
 
< 0.1%
49523 1
 
< 0.1%
49522 2
 
< 0.1%
49521 2
 
< 0.1%
49520 2
 
< 0.1%
49518 2
 
< 0.1%
49516 3
0.1%
49515 1
 
< 0.1%
Distinct4173
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
2024-04-17T22:17:03.010290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length8.1426804
Min length2

Characters and Unicode

Total characters39492
Distinct characters626
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3659 ?
Unique (%)75.4%

Sample

1st row해누리 어린이집
2nd row충렬고등학교
3rd row충렬어린이집
4th row해운대센텀호텔 구내식당
5th row비엔케이(BNK)해운대어린이집
ValueCountFrequency (%)
어린이집 137
 
2.4%
주식회사 54
 
0.9%
의료법인 52
 
0.9%
사회복지법인 33
 
0.6%
구내식당 29
 
0.5%
유치원 19
 
0.3%
요양병원 18
 
0.3%
집단급식소 18
 
0.3%
부산광역시 16
 
0.3%
부경대학교 15
 
0.3%
Other values (4419) 5414
93.3%
2024-04-17T22:17:03.373124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1506
 
3.8%
1400
 
3.5%
1267
 
3.2%
1224
 
3.1%
1223
 
3.1%
993
 
2.5%
959
 
2.4%
953
 
2.4%
903
 
2.3%
) 890
 
2.3%
Other values (616) 28174
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36225
91.7%
Space Separator 959
 
2.4%
Close Punctuation 890
 
2.3%
Open Punctuation 882
 
2.2%
Uppercase Letter 304
 
0.8%
Decimal Number 158
 
0.4%
Other Punctuation 50
 
0.1%
Lowercase Letter 22
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1506
 
4.2%
1400
 
3.9%
1267
 
3.5%
1224
 
3.4%
1223
 
3.4%
993
 
2.7%
953
 
2.6%
903
 
2.5%
847
 
2.3%
727
 
2.0%
Other values (564) 25182
69.5%
Uppercase Letter
ValueCountFrequency (%)
S 41
13.5%
K 32
 
10.5%
C 28
 
9.2%
B 21
 
6.9%
T 21
 
6.9%
A 19
 
6.2%
G 15
 
4.9%
L 14
 
4.6%
N 14
 
4.6%
M 14
 
4.6%
Other values (13) 85
28.0%
Decimal Number
ValueCountFrequency (%)
2 64
40.5%
1 39
24.7%
3 22
 
13.9%
4 15
 
9.5%
5 6
 
3.8%
7 4
 
2.5%
0 3
 
1.9%
6 3
 
1.9%
9 2
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
e 6
27.3%
i 5
22.7%
w 4
18.2%
s 2
 
9.1%
k 1
 
4.5%
r 1
 
4.5%
f 1
 
4.5%
a 1
 
4.5%
h 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 19
38.0%
& 9
18.0%
, 9
18.0%
· 6
 
12.0%
/ 5
 
10.0%
* 1
 
2.0%
! 1
 
2.0%
Space Separator
ValueCountFrequency (%)
959
100.0%
Close Punctuation
ValueCountFrequency (%)
) 890
100.0%
Open Punctuation
ValueCountFrequency (%)
( 882
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36225
91.7%
Common 2941
 
7.4%
Latin 326
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1506
 
4.2%
1400
 
3.9%
1267
 
3.5%
1224
 
3.4%
1223
 
3.4%
993
 
2.7%
953
 
2.6%
903
 
2.5%
847
 
2.3%
727
 
2.0%
Other values (564) 25182
69.5%
Latin
ValueCountFrequency (%)
S 41
 
12.6%
K 32
 
9.8%
C 28
 
8.6%
B 21
 
6.4%
T 21
 
6.4%
A 19
 
5.8%
G 15
 
4.6%
L 14
 
4.3%
N 14
 
4.3%
M 14
 
4.3%
Other values (22) 107
32.8%
Common
ValueCountFrequency (%)
959
32.6%
) 890
30.3%
( 882
30.0%
2 64
 
2.2%
1 39
 
1.3%
3 22
 
0.7%
. 19
 
0.6%
4 15
 
0.5%
& 9
 
0.3%
, 9
 
0.3%
Other values (10) 33
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36225
91.7%
ASCII 3261
 
8.3%
None 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1506
 
4.2%
1400
 
3.9%
1267
 
3.5%
1224
 
3.4%
1223
 
3.4%
993
 
2.7%
953
 
2.6%
903
 
2.5%
847
 
2.3%
727
 
2.0%
Other values (564) 25182
69.5%
ASCII
ValueCountFrequency (%)
959
29.4%
) 890
27.3%
( 882
27.0%
2 64
 
2.0%
S 41
 
1.3%
1 39
 
1.2%
K 32
 
1.0%
C 28
 
0.9%
3 22
 
0.7%
B 21
 
0.6%
Other values (41) 283
 
8.7%
None
ValueCountFrequency (%)
· 6
100.0%

최종수정시점
Real number (ℝ)

Distinct4174
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.015782 × 1013
Minimum1.9990209 × 1013
Maximum2.0201231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.8 KiB
2024-04-17T22:17:03.492417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9990209 × 1013
5-th percentile2.0030811 × 1013
Q12.0160621 × 1013
median2.0170822 × 1013
Q32.0190317 × 1013
95-th percentile2.0200723 × 1013
Maximum2.0201231 × 1013
Range2.1102211 × 1011
Interquartile range (IQR)2.9696508 × 1010

Descriptive statistics

Standard deviation4.8876941 × 1010
Coefficient of variation (CV)0.0024247136
Kurtosis2.2085109
Mean2.015782 × 1013
Median Absolute Deviation (MAD)1.9398966 × 1010
Skewness-1.7468982
Sum9.7765428 × 1016
Variance2.3889554 × 1021
MonotonicityNot monotonic
2024-04-17T22:17:03.608334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170822192441 210
 
4.3%
20170822191707 119
 
2.5%
20170822191632 95
 
2.0%
20020830000000 52
 
1.1%
20170822191614 43
 
0.9%
20010725000000 19
 
0.4%
20020226000000 11
 
0.2%
20020625000000 10
 
0.2%
20170822192708 8
 
0.2%
20031216000000 8
 
0.2%
Other values (4164) 4275
88.1%
ValueCountFrequency (%)
19990209000000 1
 
< 0.1%
19990304000000 8
0.2%
19990318000000 6
0.1%
19990326000000 1
 
< 0.1%
19990406000000 4
0.1%
19990415000000 2
 
< 0.1%
19990504000000 1
 
< 0.1%
19990519000000 1
 
< 0.1%
19990708000000 1
 
< 0.1%
19990723000000 1
 
< 0.1%
ValueCountFrequency (%)
20201231112022 1
< 0.1%
20201230174114 1
< 0.1%
20201230173531 1
< 0.1%
20201230155358 1
< 0.1%
20201230153727 1
< 0.1%
20201230140339 1
< 0.1%
20201229163724 1
< 0.1%
20201229161012 1
< 0.1%
20201229140627 1
< 0.1%
20201227160831 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
I
3471 
U
1379 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3471
71.6%
U 1379
 
28.4%

Length

2024-04-17T22:17:03.727871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:17:03.809104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3471
71.6%
u 1379
 
28.4%
Distinct549
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-02 00:23:15
2024-04-17T22:17:03.907584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T22:17:04.029379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
집단급식소
1255 
어린이집
1229 
산업체
785 
학교
709 
병원
475 
Other values (6)
397 

Length

Max length8
Median length6
Mean length3.7397938
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row어린이집
2nd row학교
3rd row어린이집
4th row산업체
5th row어린이집

Common Values

ValueCountFrequency (%)
집단급식소 1255
25.9%
어린이집 1229
25.3%
산업체 785
16.2%
학교 709
14.6%
병원 475
 
9.8%
사회복지시설 218
 
4.5%
공공기관 100
 
2.1%
기타 집단급식소 55
 
1.1%
기숙사 17
 
0.4%
수련원 5
 
0.1%

Length

2024-04-17T22:17:04.146364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
집단급식소 1310
26.7%
어린이집 1229
25.1%
산업체 785
16.0%
학교 709
14.5%
병원 475
 
9.7%
사회복지시설 218
 
4.4%
공공기관 100
 
2.0%
기타 55
 
1.1%
기숙사 17
 
0.3%
수련원 5
 
0.1%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct3478
Distinct (%)75.3%
Missing234
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean385711.66
Minimum365010.39
Maximum407879.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.8 KiB
2024-04-17T22:17:04.253316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum365010.39
5-th percentile368665
Q1381031.92
median386755.9
Q3390983.14
95-th percentile398194.82
Maximum407879.3
Range42868.907
Interquartile range (IQR)9951.2238

Descriptive statistics

Standard deviation8285.0103
Coefficient of variation (CV)0.021479803
Kurtosis0.1217764
Mean385711.66
Median Absolute Deviation (MAD)4976.8441
Skewness-0.44228208
Sum1.780445 × 109
Variance68641396
MonotonicityNot monotonic
2024-04-17T22:17:04.363497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
391796.495138673 11
 
0.2%
379240.573215267 10
 
0.2%
383898.91114891 9
 
0.2%
382570.401135476 8
 
0.2%
388182.381367829 8
 
0.2%
389816.233000769 7
 
0.1%
383322.180241811 7
 
0.1%
371070.269343027 7
 
0.1%
389811.392307835 7
 
0.1%
382865.897094966 7
 
0.1%
Other values (3468) 4535
93.5%
(Missing) 234
 
4.8%
ValueCountFrequency (%)
365010.390597385 1
 
< 0.1%
365093.532168897 1
 
< 0.1%
365094.004922601 1
 
< 0.1%
365115.866440903 1
 
< 0.1%
365292.225416155 2
< 0.1%
365307.209621952 1
 
< 0.1%
365331.554111646 1
 
< 0.1%
365359.221940167 1
 
< 0.1%
365395.142740959 1
 
< 0.1%
365399.645488953 4
0.1%
ValueCountFrequency (%)
407879.297470728 1
< 0.1%
407785.942175253 1
< 0.1%
407561.613314864 1
< 0.1%
407533.057972118 2
< 0.1%
407509.292975868 1
< 0.1%
406868.288952732 1
< 0.1%
406544.35494323 1
< 0.1%
406242.577428169 1
< 0.1%
405967.49653678 1
< 0.1%
405914.665215376 1
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct3478
Distinct (%)75.3%
Missing234
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean186556.18
Minimum173008.04
Maximum211242.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.8 KiB
2024-04-17T22:17:04.475553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173008.04
5-th percentile177286.57
Q1180454.42
median186100.4
Q3190971.01
95-th percentile198707.05
Maximum211242.85
Range38234.819
Interquartile range (IQR)10516.589

Descriptive statistics

Standard deviation6982.8466
Coefficient of variation (CV)0.037430262
Kurtosis0.30896054
Mean186556.18
Median Absolute Deviation (MAD)5134.2732
Skewness0.66028201
Sum8.6114331 × 108
Variance48760147
MonotonicityNot monotonic
2024-04-17T22:17:04.605875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
183632.373950837 11
 
0.2%
181413.478007094 10
 
0.2%
182014.846889314 9
 
0.2%
187570.045156033 8
 
0.2%
185024.662471639 8
 
0.2%
193329.605871168 7
 
0.1%
197560.128736032 7
 
0.1%
178844.957191338 7
 
0.1%
180523.822532435 7
 
0.1%
190186.827804782 7
 
0.1%
Other values (3468) 4535
93.5%
(Missing) 234
 
4.8%
ValueCountFrequency (%)
173008.035213696 1
< 0.1%
173992.30883079 1
< 0.1%
174047.04848343 1
< 0.1%
174073.798168057 1
< 0.1%
174114.148590962 1
< 0.1%
174122.568890976 2
< 0.1%
174140.916066183 1
< 0.1%
174195.454037802 1
< 0.1%
174213.492106852 1
< 0.1%
174256.59992362 2
< 0.1%
ValueCountFrequency (%)
211242.854248711 1
< 0.1%
211219.461687024 1
< 0.1%
210727.650444124 1
< 0.1%
210670.814435815 1
< 0.1%
210424.660206307 1
< 0.1%
210246.141637797 1
< 0.1%
210015.613769918 1
< 0.1%
209816.460852413 1
< 0.1%
209053.527592549 1
< 0.1%
208963.76199907 2
< 0.1%

위생업태명
Categorical

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
집단급식소
1255 
어린이집
1228 
산업체
789 
학교
711 
병원
475 
Other values (6)
392 

Length

Max length8
Median length6
Mean length3.7336082
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row어린이집
2nd row학교
3rd row어린이집
4th row산업체
5th row어린이집

Common Values

ValueCountFrequency (%)
집단급식소 1255
25.9%
어린이집 1228
25.3%
산업체 789
16.3%
학교 711
14.7%
병원 475
 
9.8%
사회복지시설 219
 
4.5%
공공기관 100
 
2.1%
기타 집단급식소 49
 
1.0%
기숙사 17
 
0.4%
수련원 5
 
0.1%

Length

2024-04-17T22:17:04.719738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
집단급식소 1304
26.6%
어린이집 1228
25.1%
산업체 789
16.1%
학교 711
14.5%
병원 475
 
9.7%
사회복지시설 219
 
4.5%
공공기관 100
 
2.0%
기타 49
 
1.0%
기숙사 17
 
0.3%
수련원 5
 
0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
<NA>
4298 
0
546 
1
 
6

Length

Max length4
Median length4
Mean length3.6585567
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> 4298
88.6%
0 546
 
11.3%
1 6
 
0.1%

Length

2024-04-17T22:17:04.829670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:17:04.912651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4298
88.6%
0 546
 
11.3%
1 6
 
0.1%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)2.5%
Missing4279
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean0.40980736
Minimum0
Maximum20
Zeros532
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size42.8 KiB
2024-04-17T22:17:04.992092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.8992635
Coefficient of variation (CV)4.6345276
Kurtosis45.896119
Mean0.40980736
Median Absolute Deviation (MAD)0
Skewness6.2231678
Sum234
Variance3.6072019
MonotonicityNot monotonic
2024-04-17T22:17:05.088642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 532
 
11.0%
3 7
 
0.1%
5 6
 
0.1%
2 5
 
0.1%
9 4
 
0.1%
4 4
 
0.1%
8 3
 
0.1%
6 2
 
< 0.1%
14 2
 
< 0.1%
1 2
 
< 0.1%
Other values (4) 4
 
0.1%
(Missing) 4279
88.2%
ValueCountFrequency (%)
0 532
11.0%
1 2
 
< 0.1%
2 5
 
0.1%
3 7
 
0.1%
4 4
 
0.1%
5 6
 
0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
8 3
 
0.1%
9 4
 
0.1%
ValueCountFrequency (%)
20 1
 
< 0.1%
18 1
 
< 0.1%
14 2
 
< 0.1%
10 1
 
< 0.1%
9 4
0.1%
8 3
0.1%
7 1
 
< 0.1%
6 2
 
< 0.1%
5 6
0.1%
4 4
0.1%

영업장주변구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
<NA>
3832 
기타
986 
주택가주변
 
15
학교정화(상대)
 
9
학교정화(절대)
 
6

Length

Max length8
Median length4
Mean length3.6092784
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3832
79.0%
기타 986
 
20.3%
주택가주변 15
 
0.3%
학교정화(상대) 9
 
0.2%
학교정화(절대) 6
 
0.1%
아파트지역 2
 
< 0.1%

Length

2024-04-17T22:17:05.205263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:17:05.296423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3832
79.0%
기타 986
 
20.3%
주택가주변 15
 
0.3%
학교정화(상대 9
 
0.2%
학교정화(절대 6
 
0.1%
아파트지역 2
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
<NA>
3832 
기타
966 
자율
 
51
우수
 
1

Length

Max length4
Median length4
Mean length3.5802062
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3832
79.0%
기타 966
 
19.9%
자율 51
 
1.1%
우수 1
 
< 0.1%

Length

2024-04-17T22:17:05.393984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:17:05.480778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3832
79.0%
기타 966
 
19.9%
자율 51
 
1.1%
우수 1
 
< 0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
상수도전용
2978 
<NA>
1797 
지하수전용
 
51
상수도(음용)지하수(주방용)겸용
 
21
간이상수도
 
3

Length

Max length17
Median length5
Mean length4.6814433
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 2978
61.4%
<NA> 1797
37.1%
지하수전용 51
 
1.1%
상수도(음용)지하수(주방용)겸용 21
 
0.4%
간이상수도 3
 
0.1%

Length

2024-04-17T22:17:05.566405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:17:05.653248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 2978
61.4%
na 1797
37.1%
지하수전용 51
 
1.1%
상수도(음용)지하수(주방용)겸용 21
 
0.4%
간이상수도 3
 
0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4850
Missing (%)100.0%
Memory size42.8 KiB

본사종업원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct19
Distinct (%)0.7%
Missing2024
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean0.38393489
Minimum0
Maximum113
Zeros2538
Zeros (%)52.3%
Negative0
Negative (%)0.0%
Memory size42.8 KiB
2024-04-17T22:17:05.738310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum113
Range113
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.821186
Coefficient of variation (CV)7.3480845
Kurtosis984.59717
Mean0.38393489
Median Absolute Deviation (MAD)0
Skewness27.403183
Sum1085
Variance7.9590905
MonotonicityNot monotonic
2024-04-17T22:17:05.829106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 2538
52.3%
1 108
 
2.2%
2 58
 
1.2%
3 37
 
0.8%
4 24
 
0.5%
5 19
 
0.4%
6 12
 
0.2%
8 7
 
0.1%
7 5
 
0.1%
9 4
 
0.1%
Other values (9) 14
 
0.3%
(Missing) 2024
41.7%
ValueCountFrequency (%)
0 2538
52.3%
1 108
 
2.2%
2 58
 
1.2%
3 37
 
0.8%
4 24
 
0.5%
5 19
 
0.4%
6 12
 
0.2%
7 5
 
0.1%
8 7
 
0.1%
9 4
 
0.1%
ValueCountFrequency (%)
113 1
 
< 0.1%
61 1
 
< 0.1%
35 1
 
< 0.1%
20 1
 
< 0.1%
18 1
 
< 0.1%
16 3
0.1%
13 1
 
< 0.1%
12 1
 
< 0.1%
10 4
0.1%
9 4
0.1%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
<NA>
4849 
0
 
1

Length

Max length4
Median length4
Mean length3.9993814
Min length1

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> 4849
> 99.9%
0 1
 
< 0.1%

Length

2024-04-17T22:17:05.929966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:17:06.010066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4849
> 99.9%
0 1
 
< 0.1%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
<NA>
4849 
0
 
1

Length

Max length4
Median length4
Mean length3.9993814
Min length1

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> 4849
> 99.9%
0 1
 
< 0.1%

Length

2024-04-17T22:17:06.366067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:17:06.447079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4849
> 99.9%
0 1
 
< 0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
<NA>
4849 
0
 
1

Length

Max length4
Median length4
Mean length3.9993814
Min length1

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> 4849
> 99.9%
0 1
 
< 0.1%

Length

2024-04-17T22:17:06.538844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:17:06.616967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4849
> 99.9%
0 1
 
< 0.1%

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
<NA>
4454 
자가
 
386
임대
 
10

Length

Max length4
Median length4
Mean length3.836701
Min length2

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> 4454
91.8%
자가 386
 
8.0%
임대 10
 
0.2%

Length

2024-04-17T22:17:06.701519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:17:06.784479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4454
91.8%
자가 386
 
8.0%
임대 10
 
0.2%

보증액
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
<NA>
3167 
0
1683 

Length

Max length4
Median length4
Mean length2.9589691
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> 3167
65.3%
0 1683
34.7%

Length

2024-04-17T22:17:06.868206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:17:06.954911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3167
65.3%
0 1683
34.7%

월세액
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.0 KiB
<NA>
3167 
0
1683 

Length

Max length4
Median length4
Mean length2.9589691
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> 3167
65.3%
0 1683
34.7%

Length

2024-04-17T22:17:07.039735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T22:17:07.124167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3167
65.3%
0 1683
34.7%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
False
4844 
True
 
6
ValueCountFrequency (%)
False 4844
99.9%
True 6
 
0.1%
2024-04-17T22:17:07.185076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

SKEWED  ZEROS 

Distinct2073
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.566264
Minimum0
Maximum17067
Zeros1867
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size42.8 KiB
2024-04-17T22:17:07.294436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13.6
Q343.775
95-th percentile206.575
Maximum17067
Range17067
Interquartile range (IQR)43.775

Descriptive statistics

Standard deviation321.77983
Coefficient of variation (CV)5.897047
Kurtosis1820.4884
Mean54.566264
Median Absolute Deviation (MAD)13.6
Skewness38.243024
Sum264646.38
Variance103542.26
MonotonicityNot monotonic
2024-04-17T22:17:07.408722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1867
38.5%
12.0 21
 
0.4%
20.0 17
 
0.4%
30.0 15
 
0.3%
18.0 15
 
0.3%
25.0 12
 
0.2%
24.0 12
 
0.2%
14.0 11
 
0.2%
8.0 11
 
0.2%
10.0 11
 
0.2%
Other values (2063) 2858
58.9%
ValueCountFrequency (%)
0.0 1867
38.5%
1.0 1
 
< 0.1%
1.38 1
 
< 0.1%
2.08 2
 
< 0.1%
3.0 2
 
< 0.1%
3.2 1
 
< 0.1%
3.22 1
 
< 0.1%
3.37 1
 
< 0.1%
3.62 1
 
< 0.1%
3.67 1
 
< 0.1%
ValueCountFrequency (%)
17067.0 1
< 0.1%
10058.04 1
< 0.1%
4950.0 1
< 0.1%
3623.63 1
< 0.1%
2491.24 2
< 0.1%
2288.8 1
< 0.1%
2115.5 1
< 0.1%
1914.0 1
< 0.1%
1887.0 1
< 0.1%
1534.5 2
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4850
Missing (%)100.0%
Memory size42.8 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4850
Missing (%)100.0%
Memory size42.8 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4850
Missing (%)100.0%
Memory size42.8 KiB

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4850
Missing (%)100.0%
Memory size42.8 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
01집단급식소07_21_02_P33100003310000-105-2014-0000520140519<NA>1영업/정상1영업<NA><NA><NA><NA>051 626 369116.12608834부산광역시 남구 용호동 393-4번지부산광역시 남구 동명로146번길 3 (용호동)48584해누리 어린이집20191119104729U2019-11-21 02:40:00.0어린이집392546.857164182042.264355어린이집<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N9.45<NA><NA><NA><NA>
12집단급식소07_21_02_P33000003300000-105-1999-0003419990406<NA>1영업/정상1영업<NA><NA><NA><NA>070 82804784581.56607810부산광역시 동래구 명장동 151-5번지 충렬고등학교부산광역시 동래구 명장로106번길 26, 충렬고등학교 (명장동)47776충렬고등학교20180112171504I2018-08-31 23:59:59.0학교392063.322531191275.517897학교<NA><NA>기타기타상수도전용<NA>0<NA><NA><NA><NA><NA><NA>N198.96<NA><NA><NA><NA>
23집단급식소07_21_02_P33300003330000-105-2017-0000220170228<NA>1영업/정상1영업<NA><NA><NA><NA>051 742 236570.01612853부산광역시 해운대구 좌동 1363-1번지부산광역시 해운대구 좌동순환로15번길 24 (좌동, 장산마을아파트)48084충렬어린이집20170308160315I2018-08-31 23:59:59.0어린이집397149.283455187795.336413어린이집<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N27.8<NA><NA><NA><NA>
34집단급식소07_21_02_P33300003330000-105-2017-0000320170228<NA>1영업/정상1영업<NA><NA><NA><NA>051 720 9000111.10612889부산광역시 해운대구 우동 1505부산광역시 해운대구 센텀3로 20, 지하2층 (우동, 센텀호텔 지하2층)48060해운대센텀호텔 구내식당20200813131210U2020-08-15 02:40:00.0산업체394254.000317187484.983032산업체<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N50.42<NA><NA><NA><NA>
45집단급식소07_21_02_P33300003330000-105-2017-0000420170228<NA>1영업/정상1영업<NA><NA><NA><NA>051 746 261967.32612846부산광역시 해운대구 중동 228-8번지부산광역시 해운대구 대천로42번길 42, 1층 (중동)48082비엔케이(BNK)해운대어린이집20170307172035I2018-08-31 23:59:59.0어린이집397754.135252187964.286349어린이집<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N27.27<NA><NA><NA><NA>
56집단급식소07_21_02_P33300003330000-105-2017-0000520170728<NA>1영업/정상1영업<NA><NA><NA><NA>051 610 307175.17612821부산광역시 해운대구 우동 603-19번지부산광역시 해운대구 구남로 9, 4층 (우동, 라마다앙코르해운대호텔 4층)48095라마다앙코르해운대호텔 직원식당20171206171953I2018-08-31 23:59:59.0산업체396697.41331187037.673015산업체<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N31.11<NA><NA><NA><NA>
67집단급식소07_21_02_P33300003330000-105-2017-0000920171103<NA>1영업/정상1영업<NA><NA><NA><NA>051 720 4584101.61612070부산광역시 해운대구 석대동 637번지부산광역시 해운대구 반송로 523, 4층 (석대동)48002해운대우체국 석대동20171107165054I2018-08-31 23:59:59.0공공기관392971.294534193081.482641공공기관<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N53.57<NA><NA><NA><NA>
78집단급식소07_21_02_P34000003400000-105-2014-0001620140617<NA>1영업/정상1영업<NA><NA><NA><NA>0517281902864.84<NA>부산광역시 기장군 정관읍 용수리 221번지 3층 중 3층부산광역시 기장군 정관읍 가동옛길 37 (3층 중 3층)46004피터팬유치원20170714134518I2018-08-31 23:59:59.0어린이집398134.354653206060.329231어린이집<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N39.09<NA><NA><NA><NA>
89집단급식소07_21_02_P34000003400000-105-2013-0002420131018<NA>1영업/정상1영업<NA><NA><NA><NA>051 727 5080223.69619951부산광역시 기장군 장안읍 기룡리 69-1번지부산광역시 기장군 장안읍 한골길 159-1646031효성노인건강센터20190201143440U2019-02-03 02:40:00.0사회복지시설405496.613204208963.761999사회복지시설<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N82.26<NA><NA><NA><NA>
910집단급식소07_21_02_P34000003400000-105-2014-0002020141203<NA>1영업/정상1영업<NA><NA><NA><NA>051 7275270151.30<NA>부산광역시 기장군 정관읍 달산리 1110-4번지 1층부산광역시 기장군 정관읍 산단5로 103-14, 1층46026경신사20170707144158I2018-08-31 23:59:59.0산업체400028.969816204398.62101산업체<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N49.5<NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
48404841집단급식소07_21_02_P34000003400000-105-2017-0002120171130<NA>3폐업2폐업20190510<NA><NA><NA>051 932 071013.00<NA>부산광역시 기장군 정관읍 모전리 310-3번지부산광역시 기장군 정관읍 양수1길 60-8, 1층46006자연아놀자어린이집20190510165719U2019-05-12 02:40:00.0어린이집396313.2584206161.048296어린이집<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N13.0<NA><NA><NA><NA>
48414842집단급식소07_21_02_P34000003400000-105-2015-0000720150424<NA>3폐업2폐업20191212<NA><NA><NA>051 727 7670184.80<NA>부산광역시 기장군 정관읍 모전리 776번지 동일스위트2차 관리동부산광역시 기장군 정관읍 정관3로 23, 관리동 (동일스위트2차)46010동일에디슨어린이집20191212131220U2019-12-14 02:40:00.0어린이집396861.570848205529.184735어린이집<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N22.22<NA><NA><NA><NA>
48424843집단급식소07_21_02_P34000003400000-105-2016-0001120160907<NA>3폐업2폐업20200302<NA><NA><NA>051 728 005513.12<NA>부산광역시 기장군 정관읍 모전리 730번지 317동부산광역시 기장군 정관읍 정관로 350, 317동 1층 (이지더원3차아파트)46007이지아이숲어린이집(EG아이숲어린이집)20200302150719U2020-03-04 02:40:00.0어린이집396583.813926206184.609574어린이집<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N13.12<NA><NA><NA><NA>
48434844집단급식소07_21_02_P34000003400000-105-2016-0001220161013<NA>3폐업2폐업20180206<NA><NA><NA>051 727 788111.47<NA>부산광역시 기장군 정관읍 용수리 1275번지 116동부산광역시 기장군 정관읍 정관5로 144, 116동 1층46013풀리페어린이집20180206144741I2018-08-31 23:59:59.0어린이집398180.304244205553.364264어린이집<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N11.47<NA><NA><NA><NA>
48444845집단급식소07_21_02_P34000003400000-105-2016-0001320161019<NA>3폐업2폐업20200518<NA><NA><NA>070 47730388113.13619906부산광역시 기장군 기장읍 청강리 60-4번지부산광역시 기장군 기장읍 차성남로 103, 지하1층46064우리들요양병원20200518141743U2020-05-20 02:40:00.0병원401956.660841195812.485272병원<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N113.13<NA><NA><NA><NA>
48454846집단급식소07_21_02_P34000003400000-105-2015-0000920150622<NA>3폐업2폐업20200818<NA><NA><NA>051 728 5307320.51619952부산광역시 기장군 장안읍 반룡리 839-2 3층부산광역시 기장군 장안읍 장안산단9로 172, 3층46034태흥테크20200818165046U2020-09-16 02:40:00.0산업체405252.086588205193.47087산업체<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N51.75<NA><NA><NA><NA>
48464847집단급식소07_21_02_P34000003400000-105-2017-0001720170927<NA>3폐업2폐업20191211<NA><NA><NA><NA>539.10619912부산광역시 기장군 일광면 삼성리 H7번지 일광도시개발사업지구<NA><NA>지에스건설(주)부산일광자이함바식당20191211160029U2019-12-13 02:40:00.0산업체<NA><NA>산업체<NA><NA><NA><NA>지하수전용<NA>0<NA><NA><NA><NA>00N114.9<NA><NA><NA><NA>
48474848집단급식소07_21_02_P33100003310000-105-2018-0000620181203<NA>3폐업2폐업20200703<NA><NA><NA>051 621 44139.90608836부산광역시 남구 용호동 465 삼육탕부산광역시 남구 이기대공원로26번길 45-4, 1층 (용호동)48580푸른숲어린이집20200703175211U2020-07-05 02:40:00.0어린이집392710.930601182408.104137어린이집<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N9.9<NA><NA><NA><NA>
48484849집단급식소07_21_02_P33500003350000-105-2018-0000920181119<NA>3폐업2폐업20200507<NA><NA><NA><NA>15.91609390부산광역시 금정구 장전동 732번지 금정산 쌍용예가 아파트부산광역시 금정구 금강로379번길 50, 301동 1층 (장전동, 금정산 쌍용예가 아파트)46246아이미래어린이집20200507112355U2020-05-09 02:40:00.0어린이집389664.786093195729.022284어린이집<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N15.91<NA><NA><NA><NA>
48494850집단급식소07_21_02_P33000003300000-105-2018-0001720181221<NA>3폐업2폐업20200406<NA><NA><NA>051 506 355736.46607840부산광역시 동래구 온천동 1643번지부산광역시 동래구 쇠미로121번길 106 (온천동)47870동래새싹유치원20200406113715U2020-04-08 02:40:00.0기타 집단급식소387319.654988191455.905223기타 집단급식소<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N31.06<NA><NA><NA><NA>