Overview

Dataset statistics

Number of variables30
Number of observations10000
Missing cells30882
Missing cells (%)10.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 MiB
Average record size in memory259.0 B

Variable types

Numeric5
DateTime4
Categorical15
Text5
Unsupported1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),축산업무구분명,축산물가공업구분명,축산일련번호,권리주체일련번호,총인원
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16071/S/1/datasetView.do

Alerts

인허가취소일자 is highly imbalanced (99.7%)Imbalance
상세영업상태코드 is highly imbalanced (53.0%)Imbalance
상세영업상태명 is highly imbalanced (53.0%)Imbalance
휴업시작일자 is highly imbalanced (84.7%)Imbalance
휴업종료일자 is highly imbalanced (83.6%)Imbalance
재개업일자 is highly imbalanced (99.9%)Imbalance
업태구분명 is highly imbalanced (57.0%)Imbalance
권리주체일련번호 is highly imbalanced (59.8%)Imbalance
폐업일자 has 3304 (33.0%) missing valuesMissing
전화번호 has 3220 (32.2%) missing valuesMissing
소재지우편번호 has 10000 (100.0%) missing valuesMissing
도로명주소 has 3106 (31.1%) missing valuesMissing
도로명우편번호 has 5999 (60.0%) missing valuesMissing
좌표정보(X) has 2596 (26.0%) missing valuesMissing
좌표정보(Y) has 2596 (26.0%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 56.06085501)Skewed
관리번호 has unique valuesUnique
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 3318 (33.2%) zerosZeros

Reproduction

Analysis started2024-05-17 22:54:06.203104
Analysis finished2024-05-17 22:54:10.508618
Duration4.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3097140
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:54:10.691451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13030000
median3095000
Q33150000
95-th percentile3190000
Maximum3240000
Range240000
Interquartile range (IQR)120000

Descriptive statistics

Standard deviation62053.408
Coefficient of variation (CV)0.020035713
Kurtosis-1.2182581
Mean3097140
Median Absolute Deviation (MAD)65000
Skewness0.19426182
Sum3.09714 × 1010
Variance3.8506255 × 109
MonotonicityNot monotonic
2024-05-18T07:54:11.017414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3030000 1632
16.3%
3170000 736
 
7.4%
3180000 617
 
6.2%
3160000 500
 
5.0%
3050000 494
 
4.9%
3060000 482
 
4.8%
3150000 465
 
4.7%
3120000 464
 
4.6%
3010000 442
 
4.4%
3130000 440
 
4.4%
Other values (15) 3728
37.3%
ValueCountFrequency (%)
3000000 250
 
2.5%
3010000 442
 
4.4%
3020000 241
 
2.4%
3030000 1632
16.3%
3040000 410
 
4.1%
3050000 494
 
4.9%
3060000 482
 
4.8%
3070000 426
 
4.3%
3080000 367
 
3.7%
3090000 256
 
2.6%
ValueCountFrequency (%)
3240000 67
 
0.7%
3230000 59
 
0.6%
3220000 97
 
1.0%
3210000 44
 
0.4%
3200000 31
 
0.3%
3190000 331
3.3%
3180000 617
6.2%
3170000 736
7.4%
3160000 500
5.0%
3150000 465
4.7%

관리번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.09714 × 1017
Minimum3 × 1017
Maximum3.24 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:54:11.353986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3 × 1017
5-th percentile3.01 × 1017
Q13.03 × 1017
median3.095 × 1017
Q33.15 × 1017
95-th percentile3.19 × 1017
Maximum3.24 × 1017
Range2.4 × 1016
Interquartile range (IQR)1.2 × 1016

Descriptive statistics

Standard deviation6.2053408 × 1015
Coefficient of variation (CV)0.020035713
Kurtosis-1.2182581
Mean3.09714 × 1017
Median Absolute Deviation (MAD)6.5 × 1015
Skewness0.19426182
Sum-1.9129952 × 1018
Variance3.8506255 × 1031
MonotonicityNot monotonic
2024-05-18T07:54:11.880788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
307000000920070057 1
 
< 0.1%
312000000919970008 1
 
< 0.1%
313000000919990004 1
 
< 0.1%
309000000920090002 1
 
< 0.1%
307000000920040032 1
 
< 0.1%
305000000919940033 1
 
< 0.1%
311000000920120023 1
 
< 0.1%
303000000919940017 1
 
< 0.1%
301000000919960008 1
 
< 0.1%
303000000920230049 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
300000000919660002 1
< 0.1%
300000000919660005 1
< 0.1%
300000000919670002 1
< 0.1%
300000000919670003 1
< 0.1%
300000000919700001 1
< 0.1%
300000000919700003 1
< 0.1%
300000000919710002 1
< 0.1%
300000000919710005 1
< 0.1%
300000000919710006 1
< 0.1%
300000000919720002 1
< 0.1%
ValueCountFrequency (%)
324000000920240021 1
< 0.1%
324000000920240017 1
< 0.1%
324000000920240016 1
< 0.1%
324000000920240013 1
< 0.1%
324000000920240010 1
< 0.1%
324000000920240006 1
< 0.1%
324000000920240001 1
< 0.1%
324000000920230069 1
< 0.1%
324000000920230068 1
< 0.1%
324000000920230066 1
< 0.1%

인허가일자
Date

Distinct6073
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1950-05-18 00:00:00
Maximum2024-05-16 00:00:00
2024-05-18T07:54:12.294023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T07:54:12.749716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
20021010
 
2

Length

Max length8
Median length4
Mean length4.0008
Min length4

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> 9998
> 99.9%
20021010 2
 
< 0.1%

Length

2024-05-18T07:54:13.157308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:54:13.424263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
20021010 2
 
< 0.1%

영업상태코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
6393 
1
2965 
4
 
631
2
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 6393
63.9%
1 2965
29.6%
4 631
 
6.3%
2 11
 
0.1%

Length

2024-05-18T07:54:13.674565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:54:13.924169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 6393
63.9%
1 2965
29.6%
4 631
 
6.3%
2 11
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6393 
영업/정상
2965 
취소/말소/만료/정지/중지
 
631
휴업
 
11

Length

Max length14
Median length2
Mean length3.6467
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6393
63.9%
영업/정상 2965
29.6%
취소/말소/만료/정지/중지 631
 
6.3%
휴업 11
 
0.1%

Length

2024-05-18T07:54:14.247850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:54:14.690696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6393
63.9%
영업/정상 2965
29.6%
취소/말소/만료/정지/중지 631
 
6.3%
휴업 11
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0002
6393 
0000
2964 
0004
 
600
0003
 
31
0001
 
11

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0002
2nd row0000
3rd row0002
4th row0002
5th row0002

Common Values

ValueCountFrequency (%)
0002 6393
63.9%
0000 2964
29.6%
0004 600
 
6.0%
0003 31
 
0.3%
0001 11
 
0.1%
BBBB 1
 
< 0.1%

Length

2024-05-18T07:54:15.091082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:54:15.428611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0002 6393
63.9%
0000 2964
29.6%
0004 600
 
6.0%
0003 31
 
0.3%
0001 11
 
0.1%
bbbb 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6393 
정상
2964 
말소
 
600
행정처분
 
31
휴업
 
11

Length

Max length4
Median length2
Mean length2.0064
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6393
63.9%
정상 2964
29.6%
말소 600
 
6.0%
행정처분 31
 
0.3%
휴업 11
 
0.1%
<NA> 1
 
< 0.1%

Length

2024-05-18T07:54:15.844225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:54:16.202620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6393
63.9%
정상 2964
29.6%
말소 600
 
6.0%
행정처분 31
 
0.3%
휴업 11
 
0.1%
na 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct3990
Distinct (%)59.6%
Missing3304
Missing (%)33.0%
Memory size156.2 KiB
Minimum1987-09-14 00:00:00
Maximum2024-05-16 00:00:00
2024-05-18T07:54:16.568214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T07:54:16.955307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8565 
1421 
2024-01-09
 
1
20030922
 
1
20101117
 
1
Other values (11)
 
11

Length

Max length10
Median length4
Mean length4.5746
Min length4

Unique

Unique14 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8565
85.7%
1421
 
14.2%
2024-01-09 1
 
< 0.1%
20030922 1
 
< 0.1%
20101117 1
 
< 0.1%
2021-04-27 1
 
< 0.1%
19990830 1
 
< 0.1%
20080704 1
 
< 0.1%
20061117 1
 
< 0.1%
20131101 1
 
< 0.1%
Other values (6) 6
 
0.1%

Length

2024-05-18T07:54:17.376207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 8565
99.8%
2024-01-09 1
 
< 0.1%
20030922 1
 
< 0.1%
20101117 1
 
< 0.1%
2021-04-27 1
 
< 0.1%
19990830 1
 
< 0.1%
20080704 1
 
< 0.1%
20061117 1
 
< 0.1%
20131101 1
 
< 0.1%
20200506 1
 
< 0.1%
Other values (5) 5
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8568 
1421 
20120518
 
1
2022-04-26
 
1
20000528
 
1
Other values (8)
 
8

Length

Max length10
Median length4
Mean length4.573
Min length4

Unique

Unique11 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8568
85.7%
1421
 
14.2%
20120518 1
 
< 0.1%
2022-04-26 1
 
< 0.1%
20000528 1
 
< 0.1%
20080930 1
 
< 0.1%
20071117 1
 
< 0.1%
20140430 1
 
< 0.1%
20201105 1
 
< 0.1%
20100430 1
 
< 0.1%
Other values (3) 3
 
< 0.1%

Length

2024-05-18T07:54:17.792063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 8568
99.9%
20120518 1
 
< 0.1%
2022-04-26 1
 
< 0.1%
20000528 1
 
< 0.1%
20080930 1
 
< 0.1%
20071117 1
 
< 0.1%
20140430 1
 
< 0.1%
20201105 1
 
< 0.1%
20100430 1
 
< 0.1%
20131220 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

재개업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9999 
20191008
 
1

Length

Max length8
Median length4
Mean length4.0004
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9999
> 99.9%
20191008 1
 
< 0.1%

Length

2024-05-18T07:54:18.223101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:54:18.524090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9999
> 99.9%
20191008 1
 
< 0.1%

전화번호
Text

MISSING 

Distinct5997
Distinct (%)88.5%
Missing3220
Missing (%)32.2%
Memory size156.2 KiB
2024-05-18T07:54:19.139998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length9
Mean length8.8227139
Min length1

Characters and Unicode

Total characters59818
Distinct characters18
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5828 ?
Unique (%)86.0%

Sample

1st row913-6569
2nd row904-5586
3rd row404-7137
4th row4716-6952
5th row2295-9114
ValueCountFrequency (%)
401
 
4.7%
033-342-8657 98
 
1.1%
0 64
 
0.7%
0000 34
 
0.4%
804 31
 
0.4%
292 30
 
0.4%
805 25
 
0.3%
293 25
 
0.3%
295 23
 
0.3%
033-662-5044 21
 
0.2%
Other values (6275) 7816
91.2%
2024-05-18T07:54:20.394878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 7990
13.4%
2 7729
12.9%
0 5770
9.6%
3 5632
9.4%
9 5171
8.6%
6 4636
7.8%
4 4611
7.7%
8 4427
7.4%
5 4100
6.9%
7 4011
6.7%
Other values (8) 5741
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49872
83.4%
Dash Punctuation 7990
 
13.4%
Space Separator 1926
 
3.2%
Other Punctuation 12
 
< 0.1%
Math Symbol 11
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7729
15.5%
0 5770
11.6%
3 5632
11.3%
9 5171
10.4%
6 4636
9.3%
4 4611
9.2%
8 4427
8.9%
5 4100
8.2%
7 4011
8.0%
1 3785
7.6%
Other Punctuation
ValueCountFrequency (%)
, 9
75.0%
. 2
 
16.7%
/ 1
 
8.3%
Dash Punctuation
ValueCountFrequency (%)
- 7990
100.0%
Space Separator
ValueCountFrequency (%)
1926
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 59818
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 7990
13.4%
2 7729
12.9%
0 5770
9.6%
3 5632
9.4%
9 5171
8.6%
6 4636
7.8%
4 4611
7.7%
8 4427
7.4%
5 4100
6.9%
7 4011
6.7%
Other values (8) 5741
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 59818
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 7990
13.4%
2 7729
12.9%
0 5770
9.6%
3 5632
9.4%
9 5171
8.6%
6 4636
7.8%
4 4611
7.7%
8 4427
7.4%
5 4100
6.9%
7 4011
6.7%
Other values (8) 5741
9.6%

소재지면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct3132
Distinct (%)31.4%
Missing15
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean103.91299
Minimum0
Maximum111111
Zeros3318
Zeros (%)33.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:54:20.841605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16.52
Q333.6
95-th percentile206.836
Maximum111111
Range111111
Interquartile range (IQR)33.6

Descriptive statistics

Standard deviation1620.4323
Coefficient of variation (CV)15.594126
Kurtosis3536.268
Mean103.91299
Median Absolute Deviation (MAD)16.52
Skewness56.060855
Sum1037571.2
Variance2625800.7
MonotonicityNot monotonic
2024-05-18T07:54:21.285271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3318
33.2%
33.0 77
 
0.8%
9.0 62
 
0.6%
30.0 57
 
0.6%
20.0 54
 
0.5%
18.0 46
 
0.5%
15.0 44
 
0.4%
16.5 40
 
0.4%
10.0 38
 
0.4%
24.0 35
 
0.4%
Other values (3122) 6214
62.1%
ValueCountFrequency (%)
0.0 3318
33.2%
0.52 1
 
< 0.1%
0.84 1
 
< 0.1%
1.0 21
 
0.2%
1.04 1
 
< 0.1%
1.19 1
 
< 0.1%
1.2 1
 
< 0.1%
1.38 1
 
< 0.1%
1.44 2
 
< 0.1%
1.5 1
 
< 0.1%
ValueCountFrequency (%)
111111.0 1
< 0.1%
97074.39 1
< 0.1%
39778.38 1
< 0.1%
26914.0 1
< 0.1%
14469.67 1
< 0.1%
13936.01 2
< 0.1%
13606.0 1
< 0.1%
12559.0 1
< 0.1%
11623.08 1
< 0.1%
9965.8 1
< 0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지번주소
Text

Distinct8768
Distinct (%)88.1%
Missing46
Missing (%)0.5%
Memory size156.2 KiB
2024-05-18T07:54:22.088394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length91
Median length86
Mean length32.958208
Min length7

Characters and Unicode

Total characters328066
Distinct characters530
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

Unique8226 ?
Unique (%)82.6%

Sample

1st row서울특별시 성북구 정릉동 396-39
2nd row서울특별시 강북구 번동 446-13 가든타워빌딩 1712호
3rd row서울특별시 동대문구 휘경동 286-5
4th row서울특별시 강북구 수유동 37-30
5th row서울특별시 송파구 문정동 110-17 지하1층
ValueCountFrequency (%)
서울특별시 9832
 
18.5%
성동구 1618
 
3.0%
반 1422
 
2.7%
호 1416
 
2.7%
동 1412
 
2.7%
통 1397
 
2.6%
마장동 1211
 
2.3%
1층 868
 
1.6%
금천구 652
 
1.2%
영등포구 617
 
1.2%
Other values (8374) 32621
61.5%
2024-05-18T07:54:23.293638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
135235
41.2%
동 14124
 
4.3%
1 11102
 
3.4%
서 10999
 
3.4%
구 10711
 
3.3%
시 10116
 
3.1%
울 9922
 
3.0%
별 9844
 
3.0%
특 9843
 
3.0%
- 8729
 
2.7%
Other values (520) 97441
29.7%

Most occurring categories

ValueCountFrequency (%)
Space Separator 135235
41.2%
Other Letter 133452
40.7%
Decimal Number 49279
 
15.0%
Dash Punctuation 8729
 
2.7%
Uppercase Letter 436
 
0.1%
Close Punctuation 290
 
0.1%
Open Punctuation 289
 
0.1%
Other Punctuation 254
 
0.1%
Lowercase Letter 83
 
< 0.1%
Math Symbol 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 14124
 
10.6%
서 10999
 
8.2%
구 10711
 
8.0%
시 10116
 
7.6%
울 9922
 
7.4%
별 9844
 
7.4%
특 9843
 
7.4%
호 2889
 
2.2%
성 2451
 
1.8%
마 1825
 
1.4%
Other values (458) 50728
38.0%
Uppercase Letter
ValueCountFrequency (%)
B 141
32.3%
A 83
19.0%
C 23
 
5.3%
T 22
 
5.0%
S 17
 
3.9%
I 15
 
3.4%
D 15
 
3.4%
E 14
 
3.2%
K 12
 
2.8%
R 11
 
2.5%
Other values (13) 83
19.0%
Lowercase Letter
ValueCountFrequency (%)
e 19
22.9%
l 8
9.6%
r 8
9.6%
o 7
 
8.4%
n 6
 
7.2%
s 6
 
7.2%
t 5
 
6.0%
k 4
 
4.8%
a 4
 
4.8%
w 4
 
4.8%
Other values (7) 12
14.5%
Decimal Number
ValueCountFrequency (%)
1 11102
22.5%
2 6105
12.4%
3 5311
10.8%
0 4729
9.6%
4 4455
9.0%
5 4428
 
9.0%
6 3755
 
7.6%
7 3395
 
6.9%
9 3045
 
6.2%
8 2954
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 219
86.2%
. 13
 
5.1%
@ 13
 
5.1%
/ 9
 
3.5%
Close Punctuation
ValueCountFrequency (%)
) 289
99.7%
] 1
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅲ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
135235
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8729
100.0%
Open Punctuation
ValueCountFrequency (%)
( 289
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 194090
59.2%
Hangul 133452
40.7%
Latin 524
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 14124
 
10.6%
서 10999
 
8.2%
구 10711
 
8.0%
시 10116
 
7.6%
울 9922
 
7.4%
별 9844
 
7.4%
특 9843
 
7.4%
호 2889
 
2.2%
성 2451
 
1.8%
마 1825
 
1.4%
Other values (458) 50728
38.0%
Latin
ValueCountFrequency (%)
B 141
26.9%
A 83
15.8%
C 23
 
4.4%
T 22
 
4.2%
e 19
 
3.6%
S 17
 
3.2%
I 15
 
2.9%
D 15
 
2.9%
E 14
 
2.7%
K 12
 
2.3%
Other values (32) 163
31.1%
Common
ValueCountFrequency (%)
135235
69.7%
1 11102
 
5.7%
- 8729
 
4.5%
2 6105
 
3.1%
3 5311
 
2.7%
0 4729
 
2.4%
4 4455
 
2.3%
5 4428
 
2.3%
6 3755
 
1.9%
7 3395
 
1.7%
Other values (10) 6846
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 194609
59.3%
Hangul 133452
40.7%
Number Forms 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
135235
69.5%
1 11102
 
5.7%
- 8729
 
4.5%
2 6105
 
3.1%
3 5311
 
2.7%
0 4729
 
2.4%
4 4455
 
2.3%
5 4428
 
2.3%
6 3755
 
1.9%
7 3395
 
1.7%
Other values (50) 7365
 
3.8%
Hangul
ValueCountFrequency (%)
동 14124
 
10.6%
서 10999
 
8.2%
구 10711
 
8.0%
시 10116
 
7.6%
울 9922
 
7.4%
별 9844
 
7.4%
특 9843
 
7.4%
호 2889
 
2.2%
성 2451
 
1.8%
마 1825
 
1.4%
Other values (458) 50728
38.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅲ 1
 
20.0%

도로명주소
Text

MISSING 

Distinct6036
Distinct (%)87.6%
Missing3106
Missing (%)31.1%
Memory size156.2 KiB
2024-05-18T07:54:24.045764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length60
Mean length30.285901
Min length21

Characters and Unicode

Total characters208791
Distinct characters558
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

Unique5684 ?
Unique (%)82.4%

Sample

1st row서울특별시 성북구 보국문로11길 27 (정릉동)
2nd row서울특별시 강북구 도봉로 328, 가든타워빌딩 1712호 (번동)
3rd row서울특별시 동대문구 망우로18가길 26 (휘경동)
4th row서울특별시 강북구 노해로17길 38 (수유동)
5th row서울특별시 송파구 새말로17길 6 (문정동,지하1층)
ValueCountFrequency (%)
서울특별시 6897
 
17.2%
1층 1099
 
2.7%
성동구 1054
 
2.6%
마장동 708
 
1.8%
금천구 616
 
1.5%
강서구 454
 
1.1%
영등포구 397
 
1.0%
성북구 377
 
0.9%
중랑구 331
 
0.8%
독산동 330
 
0.8%
Other values (6427) 27814
69.4%
2024-05-18T07:54:26.075127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33198
 
15.9%
동 9526
 
4.6%
1 8433
 
4.0%
서 8115
 
3.9%
구 7498
 
3.6%
시 7448
 
3.6%
로 7391
 
3.5%
) 7127
 
3.4%
( 7126
 
3.4%
울 7059
 
3.4%
Other values (548) 105870
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123470
59.1%
Space Separator 33198
 
15.9%
Decimal Number 32019
 
15.3%
Close Punctuation 7127
 
3.4%
Open Punctuation 7126
 
3.4%
Other Punctuation 4350
 
2.1%
Dash Punctuation 951
 
0.5%
Uppercase Letter 444
 
0.2%
Lowercase Letter 81
 
< 0.1%
Math Symbol 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 9526
 
7.7%
서 8115
 
6.6%
구 7498
 
6.1%
시 7448
 
6.0%
로 7391
 
6.0%
울 7059
 
5.7%
특 6933
 
5.6%
별 6931
 
5.6%
길 4341
 
3.5%
층 2233
 
1.8%
Other values (487) 55995
45.4%
Uppercase Letter
ValueCountFrequency (%)
B 151
34.0%
A 69
15.5%
C 30
 
6.8%
T 23
 
5.2%
D 18
 
4.1%
S 16
 
3.6%
I 14
 
3.2%
E 14
 
3.2%
L 13
 
2.9%
J 13
 
2.9%
Other values (13) 83
18.7%
Lowercase Letter
ValueCountFrequency (%)
e 19
23.5%
l 8
9.9%
r 8
9.9%
o 7
 
8.6%
n 6
 
7.4%
s 5
 
6.2%
t 5
 
6.2%
w 4
 
4.9%
c 3
 
3.7%
i 3
 
3.7%
Other values (7) 13
16.0%
Decimal Number
ValueCountFrequency (%)
1 8433
26.3%
2 4491
14.0%
3 3912
12.2%
4 2762
 
8.6%
0 2715
 
8.5%
5 2528
 
7.9%
7 2015
 
6.3%
6 2013
 
6.3%
8 1630
 
5.1%
9 1520
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 4326
99.4%
. 14
 
0.3%
@ 5
 
0.1%
/ 5
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅲ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
33198
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7127
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7126
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 951
100.0%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 123470
59.1%
Common 84791
40.6%
Latin 530
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 9526
 
7.7%
서 8115
 
6.6%
구 7498
 
6.1%
시 7448
 
6.0%
로 7391
 
6.0%
울 7059
 
5.7%
특 6933
 
5.6%
별 6931
 
5.6%
길 4341
 
3.5%
층 2233
 
1.8%
Other values (487) 55995
45.4%
Latin
ValueCountFrequency (%)
B 151
28.5%
A 69
13.0%
C 30
 
5.7%
T 23
 
4.3%
e 19
 
3.6%
D 18
 
3.4%
S 16
 
3.0%
I 14
 
2.6%
E 14
 
2.6%
L 13
 
2.5%
Other values (32) 163
30.8%
Common
ValueCountFrequency (%)
33198
39.2%
1 8433
 
9.9%
) 7127
 
8.4%
( 7126
 
8.4%
2 4491
 
5.3%
, 4326
 
5.1%
3 3912
 
4.6%
4 2762
 
3.3%
0 2715
 
3.2%
5 2528
 
3.0%
Other values (9) 8173
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123470
59.1%
ASCII 85316
40.9%
Number Forms 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33198
38.9%
1 8433
 
9.9%
) 7127
 
8.4%
( 7126
 
8.4%
2 4491
 
5.3%
, 4326
 
5.1%
3 3912
 
4.6%
4 2762
 
3.2%
0 2715
 
3.2%
5 2528
 
3.0%
Other values (49) 8698
 
10.2%
Hangul
ValueCountFrequency (%)
동 9526
 
7.7%
서 8115
 
6.6%
구 7498
 
6.1%
시 7448
 
6.0%
로 7391
 
6.0%
울 7059
 
5.7%
특 6933
 
5.6%
별 6931
 
5.6%
길 4341
 
3.5%
층 2233
 
1.8%
Other values (487) 55995
45.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅲ 1
 
20.0%

도로명우편번호
Text

MISSING 

Distinct1910
Distinct (%)47.7%
Missing5999
Missing (%)60.0%
Memory size156.2 KiB
2024-05-18T07:54:27.024725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.003999
Min length5

Characters and Unicode

Total characters20021
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

Unique1163 ?
Unique (%)29.1%

Sample

1st row02710
2nd row01062
3rd row04778
4th row04576
5th row03461
ValueCountFrequency (%)
04748 146
 
3.6%
04704 119
 
3.0%
08585 105
 
2.6%
04752 103
 
2.6%
04749 62
 
1.5%
04524 57
 
1.4%
04753 34
 
0.8%
04576 33
 
0.8%
04756 32
 
0.8%
08603 29
 
0.7%
Other values (1900) 3281
82.0%
2024-05-18T07:54:28.791783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5333
26.6%
4 2461
12.3%
7 2141
10.7%
5 1745
 
8.7%
8 1619
 
8.1%
3 1596
 
8.0%
2 1587
 
7.9%
1 1369
 
6.8%
6 1267
 
6.3%
9 900
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20018
> 99.9%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5333
26.6%
4 2461
12.3%
7 2141
10.7%
5 1745
 
8.7%
8 1619
 
8.1%
3 1596
 
8.0%
2 1587
 
7.9%
1 1369
 
6.8%
6 1267
 
6.3%
9 900
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5333
26.6%
4 2461
12.3%
7 2141
10.7%
5 1745
 
8.7%
8 1619
 
8.1%
3 1596
 
8.0%
2 1587
 
7.9%
1 1369
 
6.8%
6 1267
 
6.3%
9 900
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5333
26.6%
4 2461
12.3%
7 2141
10.7%
5 1745
 
8.7%
8 1619
 
8.1%
3 1596
 
8.0%
2 1587
 
7.9%
1 1369
 
6.8%
6 1267
 
6.3%
9 900
 
4.5%

사업장명
Text

Distinct8064
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T07:54:29.702668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length10.7252
Min length1

Characters and Unicode

Total characters107252
Distinct characters791
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7205 ?
Unique (%)72.0%

Sample

1st row대둔산고깃간
2nd row(주)몬스터에프앤에스
3rd row축산사랑
4th row농수축내고향특산물
5th row다담푸드
ValueCountFrequency (%)
주식회사 332
 
2.9%
공근농업협동조합 101
 
0.9%
정육점 83
 
0.7%
서원농업협동조합 75
 
0.7%
연곡농업협동조합 59
 
0.5%
동횡성농업협동조합 53
 
0.5%
공근농협 43
 
0.4%
현대정육점 41
 
0.4%
서울우유 31
 
0.3%
축산 29
 
0.3%
Other values (7992) 10625
92.6%
2024-05-18T07:54:31.273548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44154
41.2%
점 2489
 
2.3%
정 2108
 
2.0%
육 2033
 
1.9%
산 1878
 
1.8%
주 1844
 
1.7%
축 1668
 
1.6%
우 1479
 
1.4%
) 1468
 
1.4%
( 1458
 
1.4%
Other values (781) 46673
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58925
54.9%
Space Separator 44154
41.2%
Close Punctuation 1469
 
1.4%
Open Punctuation 1458
 
1.4%
Decimal Number 551
 
0.5%
Uppercase Letter 396
 
0.4%
Lowercase Letter 175
 
0.2%
Other Punctuation 94
 
0.1%
Dash Punctuation 21
 
< 0.1%
Other Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2489
 
4.2%
정 2108
 
3.6%
육 2033
 
3.5%
산 1878
 
3.2%
주 1844
 
3.1%
축 1668
 
2.8%
우 1479
 
2.5%
유 1433
 
2.4%
트 1201
 
2.0%
한 1115
 
1.9%
Other values (709) 41677
70.7%
Uppercase Letter
ValueCountFrequency (%)
S 56
14.1%
G 36
 
9.1%
K 33
 
8.3%
O 26
 
6.6%
M 23
 
5.8%
L 21
 
5.3%
B 19
 
4.8%
C 19
 
4.8%
A 18
 
4.5%
F 16
 
4.0%
Other values (14) 129
32.6%
Lowercase Letter
ValueCountFrequency (%)
e 24
13.7%
a 19
10.9%
t 18
10.3%
n 15
8.6%
o 14
 
8.0%
l 11
 
6.3%
m 11
 
6.3%
s 9
 
5.1%
h 9
 
5.1%
i 8
 
4.6%
Other values (11) 37
21.1%
Decimal Number
ValueCountFrequency (%)
1 131
23.8%
2 111
20.1%
3 73
13.2%
4 56
10.2%
5 43
 
7.8%
0 42
 
7.6%
6 28
 
5.1%
9 25
 
4.5%
8 22
 
4.0%
7 20
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 39
41.5%
, 25
26.6%
& 16
17.0%
? 6
 
6.4%
/ 2
 
2.1%
＆ 2
 
2.1%
* 2
 
2.1%
？ 1
 
1.1%
' 1
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 1468
99.9%
] 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
+ 1
33.3%
Space Separator
ValueCountFrequency (%)
44154
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1458
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58925
54.9%
Common 47750
44.5%
Latin 571
 
0.5%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2489
 
4.2%
정 2108
 
3.6%
육 2033
 
3.5%
산 1878
 
3.2%
주 1844
 
3.1%
축 1668
 
2.8%
우 1479
 
2.5%
유 1433
 
2.4%
트 1201
 
2.0%
한 1115
 
1.9%
Other values (705) 41677
70.7%
Latin
ValueCountFrequency (%)
S 56
 
9.8%
G 36
 
6.3%
K 33
 
5.8%
O 26
 
4.6%
e 24
 
4.2%
M 23
 
4.0%
L 21
 
3.7%
a 19
 
3.3%
B 19
 
3.3%
C 19
 
3.3%
Other values (35) 295
51.7%
Common
ValueCountFrequency (%)
44154
92.5%
) 1468
 
3.1%
( 1458
 
3.1%
1 131
 
0.3%
2 111
 
0.2%
3 73
 
0.2%
4 56
 
0.1%
5 43
 
0.1%
0 42
 
0.1%
. 39
 
0.1%
Other values (16) 175
 
0.4%
Han
ValueCountFrequency (%)
肉 2
33.3%
多 1
16.7%
李 1
16.7%
家 1
16.7%
庫 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58918
54.9%
ASCII 48318
45.1%
None 9
 
< 0.1%
CJK 5
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44154
91.4%
) 1468
 
3.0%
( 1458
 
3.0%
1 131
 
0.3%
2 111
 
0.2%
3 73
 
0.2%
S 56
 
0.1%
4 56
 
0.1%
5 43
 
0.1%
0 42
 
0.1%
Other values (59) 726
 
1.5%
Hangul
ValueCountFrequency (%)
점 2489
 
4.2%
정 2108
 
3.6%
육 2033
 
3.5%
산 1878
 
3.2%
주 1844
 
3.1%
축 1668
 
2.8%
우 1479
 
2.5%
유 1433
 
2.4%
트 1201
 
2.0%
한 1115
 
1.9%
Other values (703) 41670
70.7%
None
ValueCountFrequency (%)
㈜ 6
66.7%
＆ 2
 
22.2%
？ 1
 
11.1%
CJK
ValueCountFrequency (%)
肉 2
40.0%
多 1
20.0%
家 1
20.0%
庫 1
20.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

최종수정일자
Date

Distinct9783
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2002-11-04 10:46:32
Maximum2024-05-16 13:22:53
2024-05-18T07:54:31.772734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T07:54:32.275296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
7517 
U
2483 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 7517
75.2%
U 2483
 
24.8%

Length

2024-05-18T07:54:32.875933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:54:33.330452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 7517
75.2%
u 2483
 
24.8%

데이터갱신일자
Date

Distinct1221
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-18T07:54:34.023428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T07:54:34.877715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
식육판매업
7890 
우유류판매업
 
693
축산물유통전문판매업
 
509
축산물수입판매업
 
428
식육부산물전문판매업
 
349
Other values (2)
 
131

Length

Max length10
Median length5
Mean length5.6616
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 7890
78.9%
우유류판매업 693
 
6.9%
축산물유통전문판매업 509
 
5.1%
축산물수입판매업 428
 
4.3%
식육부산물전문판매업 349
 
3.5%
식용란수집판매업 120
 
1.2%
<NA> 11
 
0.1%

Length

2024-05-18T07:54:35.871021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:54:36.490877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 7890
78.9%
우유류판매업 693
 
6.9%
축산물유통전문판매업 509
 
5.1%
축산물수입판매업 428
 
4.3%
식육부산물전문판매업 349
 
3.5%
식용란수집판매업 120
 
1.2%
na 11
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct5351
Distinct (%)72.3%
Missing2596
Missing (%)26.0%
Infinite0
Infinite (%)0.0%
Mean198052.99
Minimum177863.59
Maximum215361.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:54:37.179756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177863.59
5-th percentile186044.97
Q1191484.15
median200628.08
Q3203549.92
95-th percentile207624.38
Maximum215361.16
Range37497.572
Interquartile range (IQR)12065.764

Descriptive statistics

Standard deviation7152.8051
Coefficient of variation (CV)0.036115612
Kurtosis-1.1548991
Mean198052.99
Median Absolute Deviation (MAD)5576.4159
Skewness-0.28870955
Sum1.4663844 × 109
Variance51162620
MonotonicityNot monotonic
2024-05-18T07:54:37.631069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190771.595589599 85
 
0.9%
198004.737917005 57
 
0.6%
194913.359552697 43
 
0.4%
203556.370097809 38
 
0.4%
200928.293555625 33
 
0.3%
200491.075734106 32
 
0.3%
192616.804543873 31
 
0.3%
210566.875626134 28
 
0.3%
191154.97129309 28
 
0.3%
203559.060939518 27
 
0.3%
Other values (5341) 7002
70.0%
(Missing) 2596
 
26.0%
ValueCountFrequency (%)
177863.591228474 1
< 0.1%
182141.205465089 1
< 0.1%
182249.766770597 1
< 0.1%
182347.182693958 1
< 0.1%
182425.862249482 1
< 0.1%
182450.36965423 1
< 0.1%
182876.367858149 2
< 0.1%
182895.668483962 1
< 0.1%
182946.503451426 1
< 0.1%
182965.91468667 2
< 0.1%
ValueCountFrequency (%)
215361.163713829 1
< 0.1%
215090.631153099 1
< 0.1%
214844.691529811 1
< 0.1%
214299.644266879 1
< 0.1%
213612.417386105 1
< 0.1%
213499.545086663 1
< 0.1%
213482.812335575 1
< 0.1%
213199.647802428 1
< 0.1%
212845.87675862 1
< 0.1%
212633.312273268 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct5351
Distinct (%)72.3%
Missing2596
Missing (%)26.0%
Infinite0
Infinite (%)0.0%
Mean450616.29
Minimum435622.56
Maximum464894.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T07:54:38.118900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum435622.56
5-th percentile440524.53
Q1447142.72
median451446.84
Q3453532.77
95-th percentile460562.55
Maximum464894.39
Range29271.83
Interquartile range (IQR)6390.0494

Descriptive statistics

Standard deviation5509.9056
Coefficient of variation (CV)0.012227489
Kurtosis-0.15997484
Mean450616.29
Median Absolute Deviation (MAD)3218.9848
Skewness-0.0044772963
Sum3.336363 × 109
Variance30359059
MonotonicityNot monotonic
2024-05-18T07:54:38.619876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
440515.66903538 85
 
0.9%
451589.338993848 57
 
0.6%
450522.084751652 43
 
0.4%
451853.45737843 38
 
0.4%
450460.850778294 33
 
0.3%
454053.888409953 32
 
0.3%
451914.670305267 31
 
0.3%
447402.629676369 28
 
0.3%
438979.341350672 28
 
0.3%
455574.884213668 27
 
0.3%
Other values (5341) 7002
70.0%
(Missing) 2596
 
26.0%
ValueCountFrequency (%)
435622.561615145 1
 
< 0.1%
436897.466167682 1
 
< 0.1%
436991.446935421 1
 
< 0.1%
437562.242368734 1
 
< 0.1%
437601.753603288 2
< 0.1%
437643.267080931 1
 
< 0.1%
437644.047174663 1
 
< 0.1%
437842.456466362 1
 
< 0.1%
437901.086256157 1
 
< 0.1%
437914.06299827 3
< 0.1%
ValueCountFrequency (%)
464894.391498673 1
 
< 0.1%
464819.528370118 1
 
< 0.1%
464817.616427272 1
 
< 0.1%
464814.717432497 3
< 0.1%
464751.482559612 1
 
< 0.1%
464735.214256444 1
 
< 0.1%
464725.202550965 1
 
< 0.1%
464704.365989197 1
 
< 0.1%
464667.465658621 1
 
< 0.1%
464597.202705501 1
 
< 0.1%

축산업무구분명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
축산물판매업
8771 
<NA>
1229 

Length

Max length6
Median length6
Mean length5.7542
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물판매업 8771
87.7%
<NA> 1229
 
12.3%

Length

2024-05-18T07:54:39.146027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:54:39.506995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물판매업 8771
87.7%
na 1229
 
12.3%

축산물가공업구분명
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
식육판매업
6982 
<NA>
1240 
우유류판매업
 
633
축산물수입판매업
 
428
식육부산물전문판매업
 
319
Other values (2)
 
398

Length

Max length10
Median length5
Mean length5.4078
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 6982
69.8%
<NA> 1240
 
12.4%
우유류판매업 633
 
6.3%
축산물수입판매업 428
 
4.3%
식육부산물전문판매업 319
 
3.2%
축산물유통전문판매업 306
 
3.1%
식용란수집판매업 92
 
0.9%

Length

2024-05-18T07:54:39.872247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:54:40.321729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 6982
69.8%
na 1240
 
12.4%
우유류판매업 633
 
6.3%
축산물수입판매업 428
 
4.3%
식육부산물전문판매업 319
 
3.2%
축산물유통전문판매업 306
 
3.1%
식용란수집판매업 92
 
0.9%

축산일련번호
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8529 
0
1471 

Length

Max length4
Median length4
Mean length3.5587
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> 8529
85.3%
0 1471
 
14.7%

Length

2024-05-18T07:54:40.974599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:54:41.414559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8529
85.3%
0 1471
 
14.7%

권리주체일련번호
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
000
6909 
L00
1847 
<NA>
1229 
010
 
5
F00
 
5
Other values (3)
 
5

Length

Max length4
Median length3
Mean length3.1229
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row000
2nd rowL00
3rd row000
4th row000
5th row<NA>

Common Values

ValueCountFrequency (%)
000 6909
69.1%
L00 1847
 
18.5%
<NA> 1229
 
12.3%
010 5
 
0.1%
F00 5
 
0.1%
100 3
 
< 0.1%
L02 1
 
< 0.1%
L01 1
 
< 0.1%

Length

2024-05-18T07:54:41.752517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:54:42.110956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 6909
69.1%
l00 1847
 
18.5%
na 1229
 
12.3%
010 5
 
< 0.1%
f00 5
 
< 0.1%
100 3
 
< 0.1%
l02 1
 
< 0.1%
l01 1
 
< 0.1%

총인원
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8529 
0
1471 

Length

Max length4
Median length4
Mean length3.5587
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> 8529
85.3%
0 1471
 
14.7%

Length

2024-05-18T07:54:42.645854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:54:43.088979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8529
85.3%
0 1471
 
14.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
13394307000030700000092007005720070718<NA>3폐업0002폐업20141231<NA><NA><NA>913-656927.4<NA>서울특별시 성북구 정릉동 396-39서울특별시 성북구 보국문로11길 27 (정릉동)02710대둔산고깃간2015-01-22 13:27:53I2018-08-31 23:59:59.0식육판매업200686.233112456251.423567축산물판매업식육판매업<NA>000<NA>
13877308000030800000092019001020190529<NA>1영업/정상0000정상<NA><NA><NA><NA><NA>36.9<NA>서울특별시 강북구 번동 446-13 가든타워빌딩 1712호서울특별시 강북구 도봉로 328, 가든타워빌딩 1712호 (번동)01062(주)몬스터에프앤에스2019-05-29 17:46:03I2019-05-31 02:20:59.0식육판매업202155.401317459411.940883축산물판매업식육판매업<NA>L00<NA>
11171305000030500000092006000720060613<NA>3폐업0002폐업20080613<NA><NA><NA><NA>17.34<NA>서울특별시 동대문구 휘경동 286-5서울특별시 동대문구 망우로18가길 26 (휘경동)<NA>축산사랑2008-06-13 17:06:49I2018-08-31 23:59:59.0식육판매업205346.063089454080.095979축산물판매업식육판매업<NA>000<NA>
14731308000030800000092006004220061227<NA>3폐업0002폐업20070502<NA><NA><NA>904-558622.56<NA>서울특별시 강북구 수유동 37-30서울특별시 강북구 노해로17길 38 (수유동)<NA>농수축내고향특산물2007-05-02 17:38:08I2018-08-31 23:59:59.0식육판매업201721.113598459806.074515축산물판매업식육판매업<NA>000<NA>
84132300003230000009200900592009-08-26<NA>3폐업0002폐업2023-07-04<NA><NA><NA>404-713762.5<NA>서울특별시 송파구 문정동 110-17 지하1층서울특별시 송파구 새말로17길 6 (문정동,지하1층)<NA>다담푸드2023-07-04 16:52:21U2022-12-07 00:06:00.0식육판매업211549.511639442656.586489<NA><NA><NA><NA><NA>
8656303000030300000092013001720130228<NA>4취소/말소/만료/정지/중지0004말소<NA><NA><NA><NA>4716-695225.95<NA>서울특별시 성동구 성수동1가 10-4서울특별시 성동구 뚝섬로1길 51 (성수동1가)04778행복축산2014-07-03 14:18:17I2018-08-31 23:59:59.0식육판매업204105.092853449284.54613축산물판매업식육판매업<NA>000<NA>
5361303000030300000092000024720000114<NA>1영업/정상0000정상<NA><NA><NA><NA>2295-9114946.38<NA>서울특별시 성동구 마장동 512-1<NA><NA>(주)올림픽무역식품2003-01-08 09:46:02I2018-08-31 23:59:59.0축산물수입판매업<NA><NA>축산물판매업축산물수입판매업<NA>L00<NA>
3226301000030100000091985002019850718<NA>1영업/정상0000정상<NA><NA><NA><NA>2234-88664.87<NA>서울특별시 중구 황학동 521서울특별시 중구 퇴계로87길 55-5 (황학동)04576경기상회2014-03-06 15:55:45I2018-08-31 23:59:59.0식육판매업201753.732013451744.702674축산물판매업식육판매업00000
17579311000031100000092007003820071226<NA>3폐업0002폐업20130109<NA><NA><NA><NA>508.28<NA>서울특별시 은평구 응암동 89-10서울특별시 은평구 진흥로 50 (응암동)03461농우축산2015-08-07 16:43:07I2018-08-31 23:59:59.0식육판매업192932.482954455450.105658축산물판매업식육판매업<NA>000<NA>
3693301000030100000092005006220051222<NA>3폐업0002폐업20060106<NA><NA><NA>033-342-86570.0<NA>서울특별시 중구 신당동 370-61 한국양봉농협 1층서울특별시 중구 다산로 141 (신당동,한국양봉농협 1층)<NA>공근농업협동조합2006-01-06 13:40:57I2018-08-31 23:59:59.0식육판매업200928.293556450460.850778축산물판매업식육판매업0L000
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
8521303000030300000091996002519960308<NA>3폐업0002폐업19990329<NA>-0.0<NA>서울특별시 성동구 마장동 480- 5 통 반 동 호<NA><NA>서울축산시장2002-12-10 15:42:20I2018-08-31 23:59:59.0식육부산물전문판매업<NA><NA>축산물판매업식육부산물전문판매업<NA>000<NA>
27597319000031900000092000001420000309<NA>3폐업0002폐업20020930<NA>532 -92290.0<NA>서울특별시 동작구 사당동 708-656 통 반 동 호<NA><NA>한우고향정육점2003-04-19 14:03:48I2018-08-31 23:59:59.0식육판매업<NA><NA>축산물판매업식육판매업<NA>000<NA>
24541317000031700000092012003720120828<NA>3폐업0002폐업20150402<NA><NA><NA><NA>0.0<NA>서울특별시 금천구 독산동 989서울특별시 금천구 독산로85길 40, 1층 (독산동)08543모닝축산2015-04-02 16:58:07I2018-08-31 23:59:59.0식육판매업191189.044349441186.971279축산물판매업식육판매업<NA>000<NA>
2566431800003180000009201000212010-03-31<NA>1영업/정상0000정상<NA><NA><NA><NA>02-844-627833.0<NA>서울특별시 영등포구 대림동 1058-5서울특별시 영등포구 디지털로37길 29 (대림동)<NA>기흥마트 정육2024-02-15 14:11:58U2023-12-01 23:07:00.0식육판매업190893.810126443236.058428<NA><NA><NA><NA><NA>
6531303000030300000092002021620020320<NA>3폐업0002폐업20060707<NA><NA><NA>470-5496691.2<NA>서울특별시 성동구 송정동 67-31 81-37 우신빌딩2층서울특별시 성동구 광나루로 285 (송정동,81-37 우신빌딩2층)<NA>(주)신성프론티어2006-07-07 17:06:25I2018-08-31 23:59:59.0축산물수입판매업205349.310478449569.805748축산물판매업축산물수입판매업<NA>L00<NA>
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160432200003220000009202301152023-10-16<NA>1영업/정상0000정상<NA><NA><NA><NA><NA>49.0<NA>서울특별시 강남구 역삼동 642-1 역삼현대벤쳐텔서울특별시 강남구 테헤란로25길 20, 역삼현대벤쳐텔 1909호 (역삼동)06132케이디에프(주)2023-10-16 09:18:25I2022-10-30 23:08:00.0축산물유통전문판매업203081.161709444381.101104<NA><NA><NA><NA><NA>
23009316000031600000091987002819870905<NA>3폐업0002폐업19990805<NA>2618-13170.0<NA>서울특별시 구로구 고척동 46- 21 통 반 동 호<NA><NA>대흥정육점2003-04-18 13:52:17I2018-08-31 23:59:59.0식육판매업<NA><NA>축산물판매업식육판매업<NA>000<NA>
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