Overview

Dataset statistics

Number of variables48
Number of observations10000
Missing cells108341
Missing cells (%)22.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 MiB
Average record size in memory421.0 B

Variable types

Numeric11
Categorical21
Text5
Unsupported9
DateTime1
Boolean1

Dataset

Description2021-06-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123112

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
다중이용업소여부 has constant value ""Constant
업태구분명 is highly imbalanced (98.7%)Imbalance
위생업태명 is highly imbalanced (98.9%)Imbalance
남성종사자수 is highly imbalanced (79.4%)Imbalance
여성종사자수 is highly imbalanced (74.2%)Imbalance
영업장주변구분명 is highly imbalanced (71.4%)Imbalance
등급구분명 is highly imbalanced (52.8%)Imbalance
급수시설구분명 is highly imbalanced (73.1%)Imbalance
공장판매직종업원수 is highly imbalanced (58.5%)Imbalance
공장생산직종업원수 is highly imbalanced (58.3%)Imbalance
보증액 is highly imbalanced (66.6%)Imbalance
월세액 is highly imbalanced (66.6%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 2657 (26.6%) missing valuesMissing
휴업시작일자 has 10000 (100.0%) missing valuesMissing
휴업종료일자 has 10000 (100.0%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지전화 has 4657 (46.6%) missing valuesMissing
소재지면적 has 4912 (49.1%) missing valuesMissing
소재지우편번호 has 231 (2.3%) missing valuesMissing
도로명전체주소 has 2564 (25.6%) missing valuesMissing
도로명우편번호 has 2622 (26.2%) missing valuesMissing
좌표정보(x) has 310 (3.1%) missing valuesMissing
좌표정보(y) has 310 (3.1%) missing valuesMissing
총종업원수 has 10000 (100.0%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 10000 (100.0%) missing valuesMissing
Unnamed: 47 has 10000 (100.0%) missing valuesMissing
폐업일자 is highly skewed (γ1 = -43.3540696)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
소재지면적 has 270 (2.7%) zerosZeros
시설총규모 has 9315 (93.2%) zerosZeros

Reproduction

Analysis started2024-04-17 12:32:45.339660
Analysis finished2024-04-17 12:32:47.134980
Duration1.8 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11165.86
Minimum1
Maximum22354
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T21:32:47.191734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1121.85
Q15539.25
median11202.5
Q316825.25
95-th percentile21254.1
Maximum22354
Range22353
Interquartile range (IQR)11286

Descriptive statistics

Standard deviation6477.5791
Coefficient of variation (CV)0.58012362
Kurtosis-1.208652
Mean11165.86
Median Absolute Deviation (MAD)5651
Skewness-0.003273698
Sum1.116586 × 108
Variance41959030
MonotonicityNot monotonic
2024-04-17T21:32:47.293847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17271 1
 
< 0.1%
9157 1
 
< 0.1%
3387 1
 
< 0.1%
2069 1
 
< 0.1%
8323 1
 
< 0.1%
13245 1
 
< 0.1%
21880 1
 
< 0.1%
8580 1
 
< 0.1%
11645 1
 
< 0.1%
19578 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
19 1
< 0.1%
22 1
< 0.1%
25 1
< 0.1%
ValueCountFrequency (%)
22354 1
< 0.1%
22352 1
< 0.1%
22350 1
< 0.1%
22349 1
< 0.1%
22348 1
< 0.1%
22346 1
< 0.1%
22344 1
< 0.1%
22342 1
< 0.1%
22341 1
< 0.1%
22340 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

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

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 10000
100.0%

Length

2024-04-17T21:32:47.386853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:32:47.459503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 10000
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
07_22_19_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_19_P
2nd row07_22_19_P
3rd row07_22_19_P
4th row07_22_19_P
5th row07_22_19_P

Common Values

ValueCountFrequency (%)
07_22_19_P 10000
100.0%

Length

2024-04-17T21:32:47.528815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:32:47.594579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_19_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325900
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T21:32:47.657778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13290000
median3330000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation39692.16
Coefficient of variation (CV)0.011934261
Kurtosis-0.88331624
Mean3325900
Median Absolute Deviation (MAD)40000
Skewness0.17687983
Sum3.3259 × 1010
Variance1.5754675 × 109
MonotonicityNot monotonic
2024-04-17T21:32:47.754400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 1856
18.6%
3290000 1634
16.3%
3300000 914
9.1%
3370000 784
7.8%
3380000 685
 
6.9%
3350000 501
 
5.0%
3340000 489
 
4.9%
3320000 460
 
4.6%
3390000 460
 
4.6%
3400000 446
 
4.5%
Other values (6) 1771
17.7%
ValueCountFrequency (%)
3250000 302
 
3.0%
3260000 226
 
2.3%
3270000 307
 
3.1%
3280000 383
 
3.8%
3290000 1634
16.3%
3300000 914
9.1%
3310000 440
 
4.4%
3320000 460
 
4.6%
3330000 1856
18.6%
3340000 489
 
4.9%
ValueCountFrequency (%)
3400000 446
 
4.5%
3390000 460
 
4.6%
3380000 685
 
6.9%
3370000 784
7.8%
3360000 113
 
1.1%
3350000 501
 
5.0%
3340000 489
 
4.9%
3330000 1856
18.6%
3320000 460
 
4.6%
3310000 440
 
4.4%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-17T21:32:47.930992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters220000
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st row3290000-107-1994-00320
2nd row3320000-107-2005-00021
3rd row3350000-107-2020-00199
4th row3380000-107-2009-00021
5th row3250000-107-1975-00041
ValueCountFrequency (%)
3290000-107-1994-00320 1
 
< 0.1%
3310000-107-2019-00094 1
 
< 0.1%
3290000-107-1986-00768 1
 
< 0.1%
3390000-107-2019-00009 1
 
< 0.1%
3290000-107-2021-00037 1
 
< 0.1%
3310000-107-2018-00053 1
 
< 0.1%
3280000-107-2019-00067 1
 
< 0.1%
3330000-107-2000-00573 1
 
< 0.1%
3330000-107-2009-00050 1
 
< 0.1%
3290000-107-2019-00314 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-17T21:32:48.183251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 92014
41.8%
- 30000
 
13.6%
1 22010
 
10.0%
3 21560
 
9.8%
2 17147
 
7.8%
7 14091
 
6.4%
9 8166
 
3.7%
8 4424
 
2.0%
4 3735
 
1.7%
5 3585
 
1.6%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 92014
48.4%
1 22010
 
11.6%
3 21560
 
11.3%
2 17147
 
9.0%
7 14091
 
7.4%
9 8166
 
4.3%
8 4424
 
2.3%
4 3735
 
2.0%
5 3585
 
1.9%
6 3268
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 92014
41.8%
- 30000
 
13.6%
1 22010
 
10.0%
3 21560
 
9.8%
2 17147
 
7.8%
7 14091
 
6.4%
9 8166
 
3.7%
8 4424
 
2.0%
4 3735
 
1.7%
5 3585
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 92014
41.8%
- 30000
 
13.6%
1 22010
 
10.0%
3 21560
 
9.8%
2 17147
 
7.8%
7 14091
 
6.4%
9 8166
 
3.7%
8 4424
 
2.0%
4 3735
 
1.7%
5 3585
 
1.6%

인허가일자
Real number (ℝ)

Distinct4494
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20107914
Minimum19201126
Maximum20210430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T21:32:48.301059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19201126
5-th percentile19890926
Q120050511
median20160427
Q320190605
95-th percentile20201029
Maximum20210430
Range1009304
Interquartile range (IQR)140094.25

Descriptive statistics

Standard deviation105359.88
Coefficient of variation (CV)0.0052397221
Kurtosis2.310952
Mean20107914
Median Absolute Deviation (MAD)40404
Skewness-1.442582
Sum2.0107914 × 1011
Variance1.1100705 × 1010
MonotonicityNot monotonic
2024-04-17T21:32:48.408173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210216 17
 
0.2%
20200310 17
 
0.2%
20200714 17
 
0.2%
20190429 16
 
0.2%
20190930 16
 
0.2%
20190702 15
 
0.1%
20020501 15
 
0.1%
20200122 14
 
0.1%
20200928 14
 
0.1%
20200629 14
 
0.1%
Other values (4484) 9845
98.5%
ValueCountFrequency (%)
19201126 1
 
< 0.1%
19390516 1
 
< 0.1%
19650629 1
 
< 0.1%
19670513 1
 
< 0.1%
19680430 1
 
< 0.1%
19680827 1
 
< 0.1%
19681026 1
 
< 0.1%
19681129 2
< 0.1%
19690113 3
< 0.1%
19690516 1
 
< 0.1%
ValueCountFrequency (%)
20210430 6
0.1%
20210429 5
0.1%
20210428 8
0.1%
20210427 5
0.1%
20210426 9
0.1%
20210423 4
 
< 0.1%
20210421 5
0.1%
20210420 12
0.1%
20210419 6
0.1%
20210416 4
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영업상태구분코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
7343 
1
2657 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 7343
73.4%
1 2657
 
26.6%

Length

2024-04-17T21:32:48.505976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:32:48.573492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 7343
73.4%
1 2657
 
26.6%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7343 
영업/정상
2657 

Length

Max length5
Median length2
Mean length2.7971
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 7343
73.4%
영업/정상 2657
 
26.6%

Length

2024-04-17T21:32:48.653475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:32:48.740877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7343
73.4%
영업/정상 2657
 
26.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
7343 
1
2657 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 7343
73.4%
1 2657
 
26.6%

Length

2024-04-17T21:32:48.816646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:32:48.884216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 7343
73.4%
1 2657
 
26.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7343 
영업
2657 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 7343
73.4%
영업 2657
 
26.6%

Length

2024-04-17T21:32:48.958342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:32:49.038145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7343
73.4%
영업 2657
 
26.6%

폐업일자
Real number (ℝ)

MISSING  SKEWED 

Distinct3396
Distinct (%)46.2%
Missing2657
Missing (%)26.6%
Infinite0
Infinite (%)0.0%
Mean20136908
Minimum10000101
Maximum20210430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T21:32:49.122699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000101
5-th percentile20020620
Q120091217
median20170418
Q320190766
95-th percentile20201029
Maximum20210430
Range10210329
Interquartile range (IQR)99549

Descriptive statistics

Standard deviation214167.76
Coefficient of variation (CV)0.010635583
Kurtosis2049.3595
Mean20136908
Median Absolute Deviation (MAD)30101
Skewness-43.35407
Sum1.4786532 × 1011
Variance4.5867828 × 1010
MonotonicityNot monotonic
2024-04-17T21:32:49.243155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021011 27
 
0.3%
20100111 22
 
0.2%
20190331 15
 
0.1%
20190228 15
 
0.1%
20021230 15
 
0.1%
20210317 15
 
0.1%
20200701 14
 
0.1%
20190731 14
 
0.1%
20200715 13
 
0.1%
20120222 13
 
0.1%
Other values (3386) 7180
71.8%
(Missing) 2657
 
26.6%
ValueCountFrequency (%)
10000101 3
< 0.1%
19940711 1
 
< 0.1%
19940816 1
 
< 0.1%
19940913 2
< 0.1%
19941018 1
 
< 0.1%
19941124 1
 
< 0.1%
19950626 1
 
< 0.1%
19950704 1
 
< 0.1%
19950804 1
 
< 0.1%
19950919 1
 
< 0.1%
ValueCountFrequency (%)
20210430 2
 
< 0.1%
20210429 5
0.1%
20210428 4
< 0.1%
20210427 3
 
< 0.1%
20210426 1
 
< 0.1%
20210425 3
 
< 0.1%
20210424 1
 
< 0.1%
20210423 2
 
< 0.1%
20210422 8
0.1%
20210421 7
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지전화
Text

MISSING 

Distinct3522
Distinct (%)65.9%
Missing4657
Missing (%)46.6%
Memory size156.2 KiB
2024-04-17T21:32:49.472893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.711211
Min length3

Characters and Unicode

Total characters57230
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3182 ?
Unique (%)59.6%

Sample

1st row051
2nd row051 3632227
3rd row051 757 5957
4th row051 2450481
5th row051 7586067
ValueCountFrequency (%)
051 3949
32.2%
055 245
 
2.0%
031 230
 
1.9%
070 158
 
1.3%
831 144
 
1.2%
02 135
 
1.1%
5711 102
 
0.8%
053 80
 
0.7%
343 53
 
0.4%
062 53
 
0.4%
Other values (3760) 7118
58.0%
2024-04-17T21:32:49.798731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9595
16.8%
5 8610
15.0%
1 7910
13.8%
7087
12.4%
2 4357
7.6%
3 3930
6.9%
8 3703
 
6.5%
7 3495
 
6.1%
6 3319
 
5.8%
4 3092
 
5.4%
Other values (2) 2132
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50142
87.6%
Space Separator 7087
 
12.4%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9595
19.1%
5 8610
17.2%
1 7910
15.8%
2 4357
8.7%
3 3930
7.8%
8 3703
 
7.4%
7 3495
 
7.0%
6 3319
 
6.6%
4 3092
 
6.2%
9 2131
 
4.2%
Space Separator
ValueCountFrequency (%)
7087
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 57230
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9595
16.8%
5 8610
15.0%
1 7910
13.8%
7087
12.4%
2 4357
7.6%
3 3930
6.9%
8 3703
 
6.5%
7 3495
 
6.1%
6 3319
 
5.8%
4 3092
 
5.4%
Other values (2) 2132
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 57230
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9595
16.8%
5 8610
15.0%
1 7910
13.8%
7087
12.4%
2 4357
7.6%
3 3930
6.9%
8 3703
 
6.5%
7 3495
 
6.1%
6 3319
 
5.8%
4 3092
 
5.4%
Other values (2) 2132
 
3.7%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct2098
Distinct (%)41.2%
Missing4912
Missing (%)49.1%
Infinite0
Infinite (%)0.0%
Mean22.762087
Minimum0
Maximum465
Zeros270
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T21:32:49.909176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median16.37
Q330.6
95-th percentile66.937
Maximum465
Range465
Interquartile range (IQR)24.6

Descriptive statistics

Standard deviation26.37462
Coefficient of variation (CV)1.1587083
Kurtosis36.430699
Mean22.762087
Median Absolute Deviation (MAD)11.37
Skewness4.1988227
Sum115813.5
Variance695.62059
MonotonicityNot monotonic
2024-04-17T21:32:50.013757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 270
 
2.7%
3.0 130
 
1.3%
6.0 101
 
1.0%
6.6 73
 
0.7%
3.3 66
 
0.7%
4.0 57
 
0.6%
33.0 57
 
0.6%
2.0 55
 
0.5%
9.9 54
 
0.5%
20.0 45
 
0.4%
Other values (2088) 4180
41.8%
(Missing) 4912
49.1%
ValueCountFrequency (%)
0.0 270
2.7%
0.2 1
 
< 0.1%
0.3 1
 
< 0.1%
0.36 1
 
< 0.1%
0.44 1
 
< 0.1%
0.5 2
 
< 0.1%
0.54 1
 
< 0.1%
0.57 1
 
< 0.1%
0.58 1
 
< 0.1%
0.6 1
 
< 0.1%
ValueCountFrequency (%)
465.0 1
< 0.1%
368.48 1
< 0.1%
331.86 1
< 0.1%
247.5 1
< 0.1%
245.06 1
< 0.1%
244.7 1
< 0.1%
232.89 1
< 0.1%
232.88 1
< 0.1%
230.64 1
< 0.1%
230.54 1
< 0.1%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct726
Distinct (%)7.4%
Missing231
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean611356.1
Minimum600011
Maximum642829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T21:32:50.114683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600011
5-th percentile601807.4
Q1607835
median612040
Q3614816
95-th percentile617832
Maximum642829
Range42818
Interquartile range (IQR)6981

Descriptive statistics

Standard deviation4703.6706
Coefficient of variation (CV)0.0076938311
Kurtosis-0.0084473163
Mean611356.1
Median Absolute Deviation (MAD)2807
Skewness-0.54313661
Sum5.9723378 × 109
Variance22124517
MonotonicityNot monotonic
2024-04-17T21:32:50.212276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
612020 537
 
5.4%
612851 219
 
2.2%
613819 208
 
2.1%
600017 197
 
2.0%
611807 195
 
1.9%
614847 187
 
1.9%
612811 153
 
1.5%
611840 153
 
1.5%
614843 144
 
1.4%
609847 136
 
1.4%
Other values (716) 7640
76.4%
(Missing) 231
 
2.3%
ValueCountFrequency (%)
600011 1
 
< 0.1%
600012 1
 
< 0.1%
600013 1
 
< 0.1%
600017 197
2.0%
600025 1
 
< 0.1%
600041 4
 
< 0.1%
600044 2
 
< 0.1%
600045 4
 
< 0.1%
600046 34
 
0.3%
600051 2
 
< 0.1%
ValueCountFrequency (%)
642829 1
 
< 0.1%
619953 10
 
0.1%
619951 11
 
0.1%
619913 6
 
0.1%
619912 37
0.4%
619911 5
 
0.1%
619906 71
0.7%
619905 58
0.6%
619904 9
 
0.1%
619903 43
0.4%

소재지전체주소
Text

Distinct5428
Distinct (%)54.7%
Missing76
Missing (%)0.8%
Memory size156.2 KiB
2024-04-17T21:32:50.440932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length52
Mean length25.687626
Min length15

Characters and Unicode

Total characters254924
Distinct characters460
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4724 ?
Unique (%)47.6%

Sample

1st row부산광역시 부산진구 당감동 산 791번지 국제쇼핑 2층 17호
2nd row부산광역시 북구 금곡동 53-1번지 주공상가 102호
3rd row부산광역시 금정구 구서동 368 (주)이마트금정점
4th row부산광역시 수영구 망미동 산 44-9번지
5th row부산광역시 중구 부평동2가 68-1번지
ValueCountFrequency (%)
부산광역시 9923
 
20.8%
해운대구 1855
 
3.9%
부산진구 1577
 
3.3%
동래구 907
 
1.9%
연제구 784
 
1.6%
우동 749
 
1.6%
수영구 685
 
1.4%
부전동 577
 
1.2%
연산동 518
 
1.1%
금정구 490
 
1.0%
Other values (5894) 29621
62.1%
2024-04-17T21:32:50.813400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37779
 
14.8%
부 12997
 
5.1%
산 12585
 
4.9%
동 11428
 
4.5%
시 10578
 
4.1%
광 10319
 
4.0%
역 9932
 
3.9%
구 9808
 
3.8%
1 9720
 
3.8%
지 9590
 
3.8%
Other values (450) 120188
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 161942
63.5%
Decimal Number 45035
 
17.7%
Space Separator 37779
 
14.8%
Dash Punctuation 7636
 
3.0%
Uppercase Letter 1154
 
0.5%
Open Punctuation 578
 
0.2%
Close Punctuation 575
 
0.2%
Other Punctuation 163
 
0.1%
Lowercase Letter 59
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 12997
 
8.0%
산 12585
 
7.8%
동 11428
 
7.1%
시 10578
 
6.5%
광 10319
 
6.4%
역 9932
 
6.1%
구 9808
 
6.1%
지 9590
 
5.9%
번 8593
 
5.3%
대 2725
 
1.7%
Other values (401) 63387
39.1%
Uppercase Letter
ValueCountFrequency (%)
B 275
23.8%
T 202
17.5%
S 200
17.3%
G 152
13.2%
E 123
10.7%
K 49
 
4.2%
A 35
 
3.0%
Y 23
 
2.0%
H 22
 
1.9%
U 22
 
1.9%
Other values (8) 51
 
4.4%
Decimal Number
ValueCountFrequency (%)
1 9720
21.6%
2 6181
13.7%
5 5021
11.1%
3 4245
9.4%
4 4041
9.0%
7 3633
 
8.1%
0 3612
 
8.0%
6 3139
 
7.0%
8 2779
 
6.2%
9 2664
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
s 21
35.6%
g 20
33.9%
e 5
 
8.5%
a 5
 
8.5%
t 2
 
3.4%
p 2
 
3.4%
j 1
 
1.7%
c 1
 
1.7%
z 1
 
1.7%
l 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 129
79.1%
@ 11
 
6.7%
· 8
 
4.9%
. 8
 
4.9%
/ 6
 
3.7%
& 1
 
0.6%
Space Separator
ValueCountFrequency (%)
37779
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7636
100.0%
Open Punctuation
ValueCountFrequency (%)
( 578
100.0%
Close Punctuation
ValueCountFrequency (%)
) 575
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 161941
63.5%
Common 91769
36.0%
Latin 1213
 
0.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 12997
 
8.0%
산 12585
 
7.8%
동 11428
 
7.1%
시 10578
 
6.5%
광 10319
 
6.4%
역 9932
 
6.1%
구 9808
 
6.1%
지 9590
 
5.9%
번 8593
 
5.3%
대 2725
 
1.7%
Other values (400) 63386
39.1%
Latin
ValueCountFrequency (%)
B 275
22.7%
T 202
16.7%
S 200
16.5%
G 152
12.5%
E 123
10.1%
K 49
 
4.0%
A 35
 
2.9%
Y 23
 
1.9%
H 22
 
1.8%
U 22
 
1.8%
Other values (18) 110
 
9.1%
Common
ValueCountFrequency (%)
37779
41.2%
1 9720
 
10.6%
- 7636
 
8.3%
2 6181
 
6.7%
5 5021
 
5.5%
3 4245
 
4.6%
4 4041
 
4.4%
7 3633
 
4.0%
0 3612
 
3.9%
6 3139
 
3.4%
Other values (11) 6762
 
7.4%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 161941
63.5%
ASCII 92974
36.5%
None 8
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37779
40.6%
1 9720
 
10.5%
- 7636
 
8.2%
2 6181
 
6.6%
5 5021
 
5.4%
3 4245
 
4.6%
4 4041
 
4.3%
7 3633
 
3.9%
0 3612
 
3.9%
6 3139
 
3.4%
Other values (38) 7967
 
8.6%
Hangul
ValueCountFrequency (%)
부 12997
 
8.0%
산 12585
 
7.8%
동 11428
 
7.1%
시 10578
 
6.5%
광 10319
 
6.4%
역 9932
 
6.1%
구 9808
 
6.1%
지 9590
 
5.9%
번 8593
 
5.3%
대 2725
 
1.7%
Other values (400) 63386
39.1%
None
ValueCountFrequency (%)
· 8
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

도로명전체주소
Text

MISSING 

Distinct4326
Distinct (%)58.2%
Missing2564
Missing (%)25.6%
Memory size156.2 KiB
2024-04-17T21:32:51.078425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length58
Mean length32.903577
Min length19

Characters and Unicode

Total characters244671
Distinct characters487
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3782 ?
Unique (%)50.9%

Sample

1st row부산광역시 북구 효열로 268-1, 102호 (금곡동, 주공상가)
2nd row부산광역시 금정구 중앙대로1841번길 24 (주)이마트금정점 (구서동)
3rd row부산광역시 수영구 과정로93번길 1, 1층 (망미동)
4th row부산광역시 중구 중구로39번길 41, 1층 (부평동2가)
5th row부산광역시 수영구 연수로302번길 8 (망미동)
ValueCountFrequency (%)
부산광역시 7435
 
15.8%
1층 1603
 
3.4%
해운대구 1375
 
2.9%
부산진구 1017
 
2.2%
지하1층 750
 
1.6%
동래구 652
 
1.4%
우동 613
 
1.3%
연제구 573
 
1.2%
수영구 480
 
1.0%
금정구 443
 
0.9%
Other values (3998) 32051
68.2%
2024-04-17T21:32:51.452953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39586
 
16.2%
부 9695
 
4.0%
동 9636
 
3.9%
산 9435
 
3.9%
1 8541
 
3.5%
시 8413
 
3.4%
광 7970
 
3.3%
구 7532
 
3.1%
역 7440
 
3.0%
로 7395
 
3.0%
Other values (477) 129028
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 151966
62.1%
Space Separator 39586
 
16.2%
Decimal Number 30359
 
12.4%
Open Punctuation 7381
 
3.0%
Close Punctuation 7380
 
3.0%
Other Punctuation 6247
 
2.6%
Uppercase Letter 908
 
0.4%
Dash Punctuation 688
 
0.3%
Lowercase Letter 145
 
0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 9695
 
6.4%
동 9636
 
6.3%
산 9435
 
6.2%
시 8413
 
5.5%
광 7970
 
5.2%
구 7532
 
5.0%
역 7440
 
4.9%
로 7395
 
4.9%
대 5092
 
3.4%
층 3164
 
2.1%
Other values (422) 76194
50.1%
Uppercase Letter
ValueCountFrequency (%)
S 216
23.8%
G 159
17.5%
B 138
15.2%
E 126
13.9%
C 46
 
5.1%
K 44
 
4.8%
A 40
 
4.4%
N 28
 
3.1%
H 22
 
2.4%
Y 21
 
2.3%
Other values (12) 68
 
7.5%
Lowercase Letter
ValueCountFrequency (%)
s 58
40.0%
g 53
36.6%
c 9
 
6.2%
n 8
 
5.5%
e 5
 
3.4%
b 3
 
2.1%
a 3
 
2.1%
i 2
 
1.4%
z 1
 
0.7%
l 1
 
0.7%
Other values (2) 2
 
1.4%
Decimal Number
ValueCountFrequency (%)
1 8541
28.1%
2 4328
14.3%
3 3044
 
10.0%
5 2750
 
9.1%
7 2473
 
8.1%
4 2395
 
7.9%
0 1793
 
5.9%
9 1710
 
5.6%
6 1693
 
5.6%
8 1632
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 6227
99.7%
· 8
 
0.1%
@ 8
 
0.1%
/ 3
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
39586
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7381
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7380
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 688
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 151964
62.1%
Common 91652
37.5%
Latin 1053
 
0.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 9695
 
6.4%
동 9636
 
6.3%
산 9435
 
6.2%
시 8413
 
5.5%
광 7970
 
5.2%
구 7532
 
5.0%
역 7440
 
4.9%
로 7395
 
4.9%
대 5092
 
3.4%
층 3164
 
2.1%
Other values (421) 76192
50.1%
Latin
ValueCountFrequency (%)
S 216
20.5%
G 159
15.1%
B 138
13.1%
E 126
12.0%
s 58
 
5.5%
g 53
 
5.0%
C 46
 
4.4%
K 44
 
4.2%
A 40
 
3.8%
N 28
 
2.7%
Other values (24) 145
13.8%
Common
ValueCountFrequency (%)
39586
43.2%
1 8541
 
9.3%
( 7381
 
8.1%
) 7380
 
8.1%
, 6227
 
6.8%
2 4328
 
4.7%
3 3044
 
3.3%
5 2750
 
3.0%
7 2473
 
2.7%
4 2395
 
2.6%
Other values (11) 7547
 
8.2%
Han
ValueCountFrequency (%)
內 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 151964
62.1%
ASCII 92697
37.9%
None 8
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39586
42.7%
1 8541
 
9.2%
( 7381
 
8.0%
) 7380
 
8.0%
, 6227
 
6.7%
2 4328
 
4.7%
3 3044
 
3.3%
5 2750
 
3.0%
7 2473
 
2.7%
4 2395
 
2.6%
Other values (44) 8592
 
9.3%
Hangul
ValueCountFrequency (%)
부 9695
 
6.4%
동 9636
 
6.3%
산 9435
 
6.2%
시 8413
 
5.5%
광 7970
 
5.2%
구 7532
 
5.0%
역 7440
 
4.9%
로 7395
 
4.9%
대 5092
 
3.4%
층 3164
 
2.1%
Other values (421) 76192
50.1%
None
ValueCountFrequency (%)
· 8
100.0%
CJK
ValueCountFrequency (%)
內 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1167
Distinct (%)15.8%
Missing2622
Missing (%)26.2%
Infinite0
Infinite (%)0.0%
Mean47740.62
Minimum46003
Maximum51498
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T21:32:51.568183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46003
5-th percentile46218
Q147153
median47810
Q348298.75
95-th percentile49313.45
Maximum51498
Range5495
Interquartile range (IQR)1145.75

Descriptive statistics

Standard deviation912.12612
Coefficient of variation (CV)0.019105871
Kurtosis-0.63990387
Mean47740.62
Median Absolute Deviation (MAD)560
Skewness-0.045480957
Sum3.522303 × 108
Variance831974.06
MonotonicityNot monotonic
2024-04-17T21:32:51.878543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48058 401
 
4.0%
48944 193
 
1.9%
48096 191
 
1.9%
47285 189
 
1.9%
48313 165
 
1.7%
47500 141
 
1.4%
46233 130
 
1.3%
46970 113
 
1.1%
47727 113
 
1.1%
47604 106
 
1.1%
Other values (1157) 5636
56.4%
(Missing) 2622
26.2%
ValueCountFrequency (%)
46003 2
 
< 0.1%
46004 3
 
< 0.1%
46008 10
 
0.1%
46010 3
 
< 0.1%
46012 6
 
0.1%
46013 2
 
< 0.1%
46014 1
 
< 0.1%
46015 39
0.4%
46016 3
 
< 0.1%
46017 7
 
0.1%
ValueCountFrequency (%)
51498 1
 
< 0.1%
49525 1
 
< 0.1%
49524 3
 
< 0.1%
49523 3
 
< 0.1%
49522 1
 
< 0.1%
49521 1
 
< 0.1%
49520 2
 
< 0.1%
49519 49
0.5%
49518 2
 
< 0.1%
49516 1
 
< 0.1%

사업장명
Text

Distinct5357
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-17T21:32:52.086705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length5.8591
Min length1

Characters and Unicode

Total characters58591
Distinct characters854
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4392 ?
Unique (%)43.9%

Sample

1st row한국노총소비조합
2nd row유정방앗간
3rd row(주)마켓인
4th row소담
5th row대성상회
ValueCountFrequency (%)
주식회사 194
 
1.7%
현승유통 132
 
1.2%
주경식품 113
 
1.0%
현재상사 105
 
0.9%
주)정성 101
 
0.9%
주)모두랑식품 85
 
0.8%
주)부산축산 84
 
0.8%
주)미트벨리 81
 
0.7%
부산축산 80
 
0.7%
오에스푸드 79
 
0.7%
Other values (5574) 10096
90.5%
2024-04-17T21:32:52.423494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2230
 
3.8%
) 2037
 
3.5%
( 1990
 
3.4%
산 1591
 
2.7%
식 1433
 
2.4%
1151
 
2.0%
품 1091
 
1.9%
회 922
 
1.6%
상 909
 
1.6%
드 818
 
1.4%
Other values (844) 44419
75.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51964
88.7%
Close Punctuation 2037
 
3.5%
Open Punctuation 1990
 
3.4%
Space Separator 1151
 
2.0%
Uppercase Letter 694
 
1.2%
Lowercase Letter 413
 
0.7%
Decimal Number 158
 
0.3%
Other Punctuation 155
 
0.3%
Dash Punctuation 22
 
< 0.1%
Modifier Symbol 3
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2230
 
4.3%
산 1591
 
3.1%
식 1433
 
2.8%
품 1091
 
2.1%
회 922
 
1.8%
상 909
 
1.7%
드 818
 
1.6%
원 784
 
1.5%
사 760
 
1.5%
스 737
 
1.4%
Other values (771) 40689
78.3%
Uppercase Letter
ValueCountFrequency (%)
T 108
15.6%
N 99
14.3%
S 97
14.0%
I 88
12.7%
F 35
 
5.0%
G 28
 
4.0%
B 25
 
3.6%
A 25
 
3.6%
O 23
 
3.3%
E 22
 
3.2%
Other values (14) 144
20.7%
Lowercase Letter
ValueCountFrequency (%)
e 54
13.1%
o 47
 
11.4%
a 34
 
8.2%
s 27
 
6.5%
l 26
 
6.3%
r 22
 
5.3%
u 22
 
5.3%
m 21
 
5.1%
n 21
 
5.1%
i 19
 
4.6%
Other values (13) 120
29.1%
Decimal Number
ValueCountFrequency (%)
1 36
22.8%
2 30
19.0%
0 20
12.7%
5 16
10.1%
3 13
 
8.2%
6 11
 
7.0%
4 10
 
6.3%
7 9
 
5.7%
9 7
 
4.4%
8 6
 
3.8%
Other Punctuation
ValueCountFrequency (%)
' 81
52.3%
. 27
 
17.4%
& 27
 
17.4%
, 12
 
7.7%
; 2
 
1.3%
· 2
 
1.3%
: 2
 
1.3%
/ 1
 
0.6%
! 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 2037
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1990
100.0%
Space Separator
ValueCountFrequency (%)
1151
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51958
88.7%
Common 5519
 
9.4%
Latin 1107
 
1.9%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2230
 
4.3%
산 1591
 
3.1%
식 1433
 
2.8%
품 1091
 
2.1%
회 922
 
1.8%
상 909
 
1.7%
드 818
 
1.6%
원 784
 
1.5%
사 760
 
1.5%
스 737
 
1.4%
Other values (765) 40683
78.3%
Latin
ValueCountFrequency (%)
T 108
 
9.8%
N 99
 
8.9%
S 97
 
8.8%
I 88
 
7.9%
e 54
 
4.9%
o 47
 
4.2%
F 35
 
3.2%
a 34
 
3.1%
G 28
 
2.5%
s 27
 
2.4%
Other values (37) 490
44.3%
Common
ValueCountFrequency (%)
) 2037
36.9%
( 1990
36.1%
1151
20.9%
' 81
 
1.5%
1 36
 
0.7%
2 30
 
0.5%
. 27
 
0.5%
& 27
 
0.5%
- 22
 
0.4%
0 20
 
0.4%
Other values (15) 98
 
1.8%
Han
ValueCountFrequency (%)
眞 1
14.3%
代 1
14.3%
米 1
14.3%
情 1
14.3%
內 1
14.3%
孝 1
14.3%
愛 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51956
88.7%
ASCII 6624
 
11.3%
CJK 7
 
< 0.1%
None 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2230
 
4.3%
산 1591
 
3.1%
식 1433
 
2.8%
품 1091
 
2.1%
회 922
 
1.8%
상 909
 
1.7%
드 818
 
1.6%
원 784
 
1.5%
사 760
 
1.5%
스 737
 
1.4%
Other values (763) 40681
78.3%
ASCII
ValueCountFrequency (%)
) 2037
30.8%
( 1990
30.0%
1151
17.4%
T 108
 
1.6%
N 99
 
1.5%
S 97
 
1.5%
I 88
 
1.3%
' 81
 
1.2%
e 54
 
0.8%
o 47
 
0.7%
Other values (61) 872
13.2%
None
ValueCountFrequency (%)
· 2
66.7%
㈜ 1
33.3%
CJK
ValueCountFrequency (%)
眞 1
14.3%
代 1
14.3%
米 1
14.3%
情 1
14.3%
內 1
14.3%
孝 1
14.3%
愛 1
14.3%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct7662
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0145359 × 1013
Minimum1.9990223 × 1013
Maximum2.021043 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T21:32:52.536114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9990223 × 1013
5-th percentile2.002062 × 1013
Q12.0100617 × 1013
median2.0171208 × 1013
Q32.0191017 × 1013
95-th percentile2.0210114 × 1013
Maximum2.021043 × 1013
Range2.2020716 × 1011
Interquartile range (IQR)9.0399887 × 1010

Descriptive statistics

Standard deviation6.2255627 × 1010
Coefficient of variation (CV)0.0030903211
Kurtosis-0.48255785
Mean2.0145359 × 1013
Median Absolute Deviation (MAD)2.949546 × 1010
Skewness-0.9288948
Sum2.0145359 × 1017
Variance3.8757631 × 1021
MonotonicityNot monotonic
2024-04-17T21:32:52.647418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020612000000 47
 
0.5%
20010728000000 47
 
0.5%
20020305000000 45
 
0.4%
20020821000000 37
 
0.4%
20020724000000 32
 
0.3%
20020723000000 30
 
0.3%
20020621000000 29
 
0.3%
20020611000000 28
 
0.3%
20020708000000 23
 
0.2%
20020711000000 20
 
0.2%
Other values (7652) 9662
96.6%
ValueCountFrequency (%)
19990223000000 2
 
< 0.1%
19990304000000 13
0.1%
19990318000000 10
0.1%
19990319000000 8
0.1%
19990322000000 3
 
< 0.1%
19990323000000 3
 
< 0.1%
19990324000000 7
0.1%
19990326000000 6
0.1%
19990406000000 1
 
< 0.1%
19990507000000 1
 
< 0.1%
ValueCountFrequency (%)
20210430162741 1
< 0.1%
20210430162606 1
< 0.1%
20210430154505 1
< 0.1%
20210430151825 1
< 0.1%
20210430150934 1
< 0.1%
20210430150543 1
< 0.1%
20210430135728 1
< 0.1%
20210430121037 1
< 0.1%
20210430104736 1
< 0.1%
20210430041510 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
6177 
U
3823 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 6177
61.8%
U 3823
38.2%

Length

2024-04-17T21:32:52.757215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:32:52.823796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 6177
61.8%
u 3823
38.2%

데이터갱신일자
Date

Distinct1068
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-05-02 02:40:00
2024-04-17T21:32:52.902847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:32:52.998816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
즉석판매제조가공업
9980 
기타
 
19
단란주점
 
1

Length

Max length9
Median length9
Mean length8.9862
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 9980
99.8%
기타 19
 
0.2%
단란주점 1
 
< 0.1%

Length

2024-04-17T21:32:53.097058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:32:53.170971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 9980
99.8%
기타 19
 
0.2%
단란주점 1
 
< 0.1%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct3677
Distinct (%)37.9%
Missing310
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean389168.6
Minimum353660.89
Maximum407291.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T21:32:53.260084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum353660.89
5-th percentile380225.64
Q1385879.57
median389011.67
Q3392556.87
95-th percentile398196.18
Maximum407291.09
Range53630.198
Interquartile range (IQR)6677.3033

Descriptive statistics

Standard deviation5438.2236
Coefficient of variation (CV)0.013973953
Kurtosis0.60939037
Mean389168.6
Median Absolute Deviation (MAD)3420.851
Skewness-0.04839621
Sum3.7710438 × 109
Variance29574276
MonotonicityNot monotonic
2024-04-17T21:32:53.361992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
393952.264486105 305
 
3.0%
387271.299492377 298
 
3.0%
397397.83276594 216
 
2.2%
392321.102334852 198
 
2.0%
385590.814676765 188
 
1.9%
389097.800933845 161
 
1.6%
387686.194940483 160
 
1.6%
387539.767677801 155
 
1.6%
389532.511756755 145
 
1.5%
390208.09260128 141
 
1.4%
Other values (3667) 7723
77.2%
(Missing) 310
 
3.1%
ValueCountFrequency (%)
353660.889782036 1
 
< 0.1%
366798.269419272 1
 
< 0.1%
366820.787750249 1
 
< 0.1%
366829.531355754 4
< 0.1%
366931.435995074 1
 
< 0.1%
367027.575037614 1
 
< 0.1%
367451.087635496 8
0.1%
369071.601644319 1
 
< 0.1%
369515.925404496 1
 
< 0.1%
370683.061499403 1
 
< 0.1%
ValueCountFrequency (%)
407291.08814632 1
< 0.1%
407036.696092095 1
< 0.1%
407018.507643148 1
< 0.1%
407015.247908441 1
< 0.1%
406910.100470872 1
< 0.1%
406849.904830501 1
< 0.1%
405709.608315206 1
< 0.1%
405546.316597851 1
< 0.1%
405449.335650942 1
< 0.1%
405434.718582706 1
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct3678
Distinct (%)38.0%
Missing310
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean187513.64
Minimum169678.05
Maximum211459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T21:32:53.462581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169678.05
5-th percentile178757.05
Q1184532.83
median187503.02
Q3190792.1
95-th percentile196375.47
Maximum211459
Range41780.954
Interquartile range (IQR)6259.2688

Descriptive statistics

Standard deviation5398.2607
Coefficient of variation (CV)0.02878863
Kurtosis0.97345796
Mean187513.64
Median Absolute Deviation (MAD)3100.0504
Skewness0.36077797
Sum1.8170071 × 109
Variance29141219
MonotonicityNot monotonic
2024-04-17T21:32:53.563209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187602.933160728 305
 
3.0%
186099.137533193 298
 
3.0%
187354.835259309 216
 
2.2%
184041.758684038 198
 
2.0%
179553.867031936 188
 
1.9%
192260.811648263 161
 
1.6%
189911.430545728 160
 
1.6%
184402.96650913 155
 
1.6%
188309.453546847 145
 
1.5%
196546.356333373 141
 
1.4%
Other values (3668) 7723
77.2%
(Missing) 310
 
3.1%
ValueCountFrequency (%)
169678.048271107 1
< 0.1%
174156.617297535 1
< 0.1%
174289.976688419 1
< 0.1%
174333.833259042 1
< 0.1%
174422.480246459 1
< 0.1%
174632.012941701 1
< 0.1%
174637.037992709 2
< 0.1%
174638.869997904 2
< 0.1%
174669.057232142 1
< 0.1%
174673.620114069 1
< 0.1%
ValueCountFrequency (%)
211459.001777975 1
< 0.1%
210945.104382171 2
< 0.1%
210458.376643536 1
< 0.1%
208089.112228672 1
< 0.1%
207739.619868549 1
< 0.1%
207708.746169211 1
< 0.1%
207272.052835595 1
< 0.1%
206803.94845946 1
< 0.1%
206690.833564719 1
< 0.1%
206512.517255249 1
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
즉석판매제조가공업
9979 
기타
 
19
단란주점
 
1
<NA>
 
1

Length

Max length9
Median length9
Mean length8.9857
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 9979
99.8%
기타 19
 
0.2%
단란주점 1
 
< 0.1%
<NA> 1
 
< 0.1%

Length

2024-04-17T21:32:53.681608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:32:53.760806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 9979
99.8%
기타 19
 
0.2%
단란주점 1
 
< 0.1%
na 1
 
< 0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9222 
0
 
752
1
 
25
2
 
1

Length

Max length4
Median length4
Mean length3.7666
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 9222
92.2%
0 752
 
7.5%
1 25
 
0.2%
2 1
 
< 0.1%

Length

2024-04-17T21:32:53.842180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:32:53.918040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9222
92.2%
0 752
 
7.5%
1 25
 
0.2%
2 1
 
< 0.1%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9224 
0
 
751
1
 
25

Length

Max length4
Median length4
Mean length3.7672
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 9224
92.2%
0 751
 
7.5%
1 25
 
0.2%

Length

2024-04-17T21:32:53.997298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:32:54.070648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9224
92.2%
0 751
 
7.5%
1 25
 
0.2%

영업장주변구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8216 
기타
1690 
주택가주변
 
76
아파트지역
 
13
유흥업소밀집지역
 
4

Length

Max length8
Median length4
Mean length3.6729
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8216
82.2%
기타 1690
 
16.9%
주택가주변 76
 
0.8%
아파트지역 13
 
0.1%
유흥업소밀집지역 4
 
< 0.1%
학교정화(상대) 1
 
< 0.1%

Length

2024-04-17T21:32:54.146779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:32:54.225214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8216
82.2%
기타 1690
 
16.9%
주택가주변 76
 
0.8%
아파트지역 13
 
0.1%
유흥업소밀집지역 4
 
< 0.1%
학교정화(상대 1
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8216 
기타
1641 
자율
 
143

Length

Max length4
Median length4
Mean length3.6432
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8216
82.2%
기타 1641
 
16.4%
자율 143
 
1.4%

Length

2024-04-17T21:32:54.317453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:32:54.394149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8216
82.2%
기타 1641
 
16.4%
자율 143
 
1.4%

급수시설구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8468 
상수도전용
1526 
지하수전용
 
4
상수도(음용)지하수(주방용)겸용
 
1
간이상수도
 
1

Length

Max length17
Median length4
Mean length4.1544
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8468
84.7%
상수도전용 1526
 
15.3%
지하수전용 4
 
< 0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%
간이상수도 1
 
< 0.1%

Length

2024-04-17T21:32:54.478004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:32:54.559144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8468
84.7%
상수도전용 1526
 
15.3%
지하수전용 4
 
< 0.1%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%
간이상수도 1
 
< 0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

본사종업원수
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6443 
0
3552 
1
 
5

Length

Max length4
Median length4
Mean length2.9329
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 6443
64.4%
0 3552
35.5%
1 5
 
0.1%

Length

2024-04-17T21:32:54.647811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:32:54.722047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6443
64.4%
0 3552
35.5%
1 5
 
< 0.1%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6443 
0
3557 

Length

Max length4
Median length4
Mean length2.9329
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 6443
64.4%
0 3557
35.6%

Length

2024-04-17T21:32:54.802117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:32:54.881028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6443
64.4%
0 3557
35.6%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6439 
0
3534 
1
 
22
2
 
4
3
 
1

Length

Max length4
Median length4
Mean length2.9317
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 6439
64.4%
0 3534
35.3%
1 22
 
0.2%
2 4
 
< 0.1%
3 1
 
< 0.1%

Length

2024-04-17T21:32:54.959800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:32:55.039876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6439
64.4%
0 3534
35.3%
1 22
 
0.2%
2 4
 
< 0.1%
3 1
 
< 0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6440 
0
3527 
1
 
30
2
 
2
10
 
1

Length

Max length4
Median length4
Mean length2.9321
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 6440
64.4%
0 3527
35.3%
1 30
 
0.3%
2 2
 
< 0.1%
10 1
 
< 0.1%

Length

2024-04-17T21:32:55.132493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:32:55.212778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6440
64.4%
0 3527
35.3%
1 30
 
0.3%
2 2
 
< 0.1%
10 1
 
< 0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7740 
자가
1479 
임대
781 

Length

Max length4
Median length4
Mean length3.548
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7740
77.4%
자가 1479
 
14.8%
임대 781
 
7.8%

Length

2024-04-17T21:32:55.302240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:32:55.380935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7740
77.4%
자가 1479
 
14.8%
임대 781
 
7.8%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9384 
0
 
616

Length

Max length4
Median length4
Mean length3.8152
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9384
93.8%
0 616
 
6.2%

Length

2024-04-17T21:32:55.461690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:32:55.531116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9384
93.8%
0 616
 
6.2%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9384 
0
 
616

Length

Max length4
Median length4
Mean length3.8152
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9384
93.8%
0 616
 
6.2%

Length

2024-04-17T21:32:55.605971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:32:55.683198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9384
93.8%
0 616
 
6.2%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size97.7 KiB
False
9999 
(Missing)
 
1
ValueCountFrequency (%)
False 9999
> 99.9%
(Missing) 1
 
< 0.1%
2024-04-17T21:32:55.740473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct437
Distinct (%)4.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.4617862
Minimum0
Maximum331.86
Zeros9315
Zeros (%)93.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T21:32:55.823368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.157
Maximum331.86
Range331.86
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.7028915
Coefficient of variation (CV)6.6376955
Kurtosis275.05544
Mean1.4617862
Median Absolute Deviation (MAD)0
Skewness13.509625
Sum14616.4
Variance94.146104
MonotonicityNot monotonic
2024-04-17T21:32:55.924856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9315
93.2%
3.3 25
 
0.2%
9.9 20
 
0.2%
3.0 17
 
0.2%
2.0 15
 
0.1%
16.5 12
 
0.1%
6.0 10
 
0.1%
10.0 9
 
0.1%
33.0 9
 
0.1%
4.0 8
 
0.1%
Other values (427) 559
 
5.6%
ValueCountFrequency (%)
0.0 9315
93.2%
0.3 1
 
< 0.1%
0.4 1
 
< 0.1%
0.43 1
 
< 0.1%
0.55 1
 
< 0.1%
0.6 1
 
< 0.1%
0.69 1
 
< 0.1%
0.7 1
 
< 0.1%
0.75 1
 
< 0.1%
0.8 1
 
< 0.1%
ValueCountFrequency (%)
331.86 1
< 0.1%
239.0 1
< 0.1%
199.68 1
< 0.1%
191.91 1
< 0.1%
190.64 1
< 0.1%
165.0 1
< 0.1%
144.6 1
< 0.1%
140.4 1
< 0.1%
139.08 1
< 0.1%
135.54 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
1727017271즉석판매제조가공업07_22_19_P32900003290000-107-1994-0032019941220<NA>3폐업2폐업20050402<NA><NA><NA>05167.62614100부산광역시 부산진구 당감동 산 791번지 국제쇼핑 2층 17호<NA><NA>한국노총소비조합20020711000000I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업<NA><NA>기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
48904891즉석판매제조가공업07_22_19_P33200003320000-107-2005-0002120050427<NA>1영업/정상1영업<NA><NA><NA><NA>051 3632227<NA>616810부산광역시 북구 금곡동 53-1번지 주공상가 102호부산광역시 북구 효열로 268-1, 102호 (금곡동, 주공상가)46510유정방앗간20131219154355I2018-08-31 23:59:59.0즉석판매제조가공업383675.465027198372.358378즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0000자가00N0.0<NA><NA><NA><NA>
2072220723즉석판매제조가공업07_22_19_P33500003350000-107-2020-0019920201119<NA>3폐업2폐업20201212<NA><NA><NA><NA><NA>609847부산광역시 금정구 구서동 368 (주)이마트금정점부산광역시 금정구 중앙대로1841번길 24 (주)이마트금정점 (구서동)46233(주)마켓인20201213041509U2020-12-15 02:40:00.0즉석판매제조가공업390208.092601196546.356333즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
27142715즉석판매제조가공업07_22_19_P33800003380000-107-2009-0002120090506<NA>1영업/정상1영업<NA><NA><NA><NA>051 757 595763.00613825부산광역시 수영구 망미동 산 44-9번지부산광역시 수영구 과정로93번길 1, 1층 (망미동)48203소담20170605132700I2018-08-31 23:59:59.0즉석판매제조가공업391857.163947188740.162419즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N63.0<NA><NA><NA><NA>
43934394즉석판매제조가공업07_22_19_P32500003250000-107-1975-0004119750722<NA>1영업/정상1영업<NA><NA><NA><NA>051 245048115.60600806부산광역시 중구 부평동2가 68-1번지부산광역시 중구 중구로39번길 41, 1층 (부평동2가)48977대성상회20170111113021I2018-08-31 23:59:59.0즉석판매제조가공업384623.788764179897.994276즉석판매제조가공업00기타기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
26282629즉석판매제조가공업07_22_19_P33800003380000-107-2000-0023720000321<NA>1영업/정상1영업<NA><NA><NA><NA>051 758606727.46613826부산광역시 수영구 망미동 805-35번지 T통B반부산광역시 수영구 연수로302번길 8 (망미동)48235밀양상회20130326214153I2018-08-31 23:59:59.0즉석판매제조가공업391536.205986187884.527577즉석판매제조가공업00주택가주변기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
1805518056즉석판매제조가공업07_22_19_P33700003370000-107-2010-0003420100616<NA>3폐업2폐업20100702<NA><NA><NA><NA><NA>611807부산광역시 연제구 거제동 1208번지<NA><NA>우리찬홈플러스아시아드20100616161530I2018-08-31 23:59:59.0즉석판매제조가공업387686.19494189911.430546즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
79147915즉석판매제조가공업07_22_19_P32900003290000-107-2019-0018720190610<NA>3폐업2폐업20190613<NA><NA><NA><NA><NA>614843부산광역시 부산진구 부전동 53번지부산광역시 부산진구 중앙대로783번길 14 (부전동)47250북하특품사업단(주)20190614041508U2019-06-16 02:40:00.0즉석판매제조가공업387835.92516186795.116898즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
1279712798즉석판매제조가공업07_22_19_P33300003330000-107-2018-0009420180330<NA>3폐업2폐업20190401<NA><NA><NA>031 778 77911.69612020부산광역시 해운대구 우동 1495번지 신세계백화점센텀시티점부산광역시 해운대구 센텀남대로 35, 신세계백화점센텀시티점 B1층 (우동)48058그랑마블20190401095409U2019-04-03 02:40:00.0즉석판매제조가공업393952.264486187602.933161즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
1547415475즉석판매제조가공업07_22_19_P33300003330000-107-2014-0000120140115<NA>3폐업2폐업20160105<NA><NA><NA><NA>69.87612811부산광역시 해운대구 반여동 1217-12번지 지하1층부산광역시 해운대구 선수촌로 105 (반여동, 지하1층)<NA>떡전문점 백설20140421095800I2018-08-31 23:59:59.0즉석판매제조가공업392937.397217191388.040087즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
26252626즉석판매제조가공업07_22_19_P33800003380000-107-1999-0004419991211<NA>1영업/정상1영업<NA><NA><NA><NA>051 754054418.06613828부산광역시 수영구 민락동 227-63번지 T통B반부산광역시 수영구 광안해변로277번길 25 (민락동)48286성신떡방앗간20130327090213I2018-08-31 23:59:59.0즉석판매제조가공업393460.532251186274.256522즉석판매제조가공업00기타기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
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35013502즉석판매제조가공업07_22_19_P33100003310000-107-2021-0006620210426<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>608823부산광역시 남구 문현동 205-2 메가마켓부산광역시 남구 수영로39번길 2-5, 메가마트 문현점 (문현동)48420주경식품20210426170910I2021-04-28 00:22:57.0즉석판매제조가공업388831.511203184013.267839즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
1406514066즉석판매제조가공업07_22_19_P33100003310000-107-2020-0009320200710<NA>3폐업2폐업20200719<NA><NA><NA>055 5440792<NA>608801부산광역시 남구 감만동 163-2부산광역시 남구 홍곡로 3, 탑마트 (감만동)48544주식회사 미트벨리20200720041508U2020-07-22 02:40:00.0즉석판매제조가공업389708.715494181693.634645즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
1261312614즉석판매제조가공업07_22_19_P33300003330000-107-2002-0095120021224<NA>3폐업2폐업20070712<NA><NA><NA>0517310 86617.01612020부산광역시 해운대구 우동 1070-4번지<NA><NA>참다슬건강원20030407000000I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA>0000자가<NA><NA>N0.0<NA><NA><NA><NA>
53615362즉석판매제조가공업07_22_19_P33100003310000-107-2003-0000220030121<NA>1영업/정상1영업<NA><NA><NA><NA>051 625237716.79608835부산광역시 남구 용호동 500-15번지부산광역시 남구 동명로158번길 68 (용호동)48586태양초김치20190111111228U2019-01-13 02:40:00.0즉석판매제조가공업392556.353122181721.269966즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0001임대<NA><NA>N0.0<NA><NA><NA><NA>
74307431즉석판매제조가공업07_22_19_P33400003340000-107-2019-0005320190311<NA>3폐업2폐업20190317<NA><NA><NA><NA><NA>604822부산광역시 사하구 다대동 120-19번지부산광역시 사하구 다송로 58 (다대동)49519우리식품20190318041526U2019-03-20 02:40:00.0즉석판매제조가공업380816.783733175515.467302즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
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2021920220즉석판매제조가공업07_22_19_P32900003290000-107-2018-0018920180917<NA>3폐업2폐업20181031<NA><NA><NA>031 8261737<NA>614732부산광역시 부산진구 부전동 503-15번지 롯데백화점 부산본점 지하1층부산광역시 부산진구 가야대로 772, 롯데백화점 부산본점 지하1층 (부전동)47285아리아리닭강정20181101041527U2018-11-03 02:37:07.0즉석판매제조가공업387271.299492186099.137533즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
97399740즉석판매제조가공업07_22_19_P33000003300000-107-1999-0062519990802<NA>3폐업2폐업20000424<NA><NA><NA>05142.58607811부산광역시 동래구 명장동 321-48번지<NA><NA>경동떡방앗간20000424000000I2018-08-31 23:59:59.0즉석판매제조가공업391399.128767191909.319343즉석판매제조가공업10아파트지역기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>