Overview

Dataset statistics

Number of variables21
Number of observations29
Missing cells117
Missing cells (%)19.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory184.6 B

Variable types

Text6
DateTime1
Unsupported2
Categorical9
Numeric3

Alerts

축산업무구분명 has constant value ""Constant
권리주체일련번호 has constant value ""Constant
영업상태구분코드 is highly imbalanced (63.8%)Imbalance
소재지시설전화번호 is highly imbalanced (72.8%)Imbalance
소재지면적정보 is highly imbalanced (72.8%)Imbalance
X좌표값 is highly imbalanced (72.8%)Imbalance
Y좌표값 is highly imbalanced (72.8%)Imbalance
축산고유번호 is highly imbalanced (63.8%)Imbalance
총종업원수 is highly imbalanced (60.7%)Imbalance
인허가취소일자 has 29 (100.0%) missing valuesMissing
도로명우편번호 has 27 (93.1%) missing valuesMissing
소재지도로명주소 has 2 (6.9%) missing valuesMissing
소재지우편번호 has 1 (3.4%) missing valuesMissing
WGS84위도 has 1 (3.4%) missing valuesMissing
WGS84경도 has 1 (3.4%) missing valuesMissing
업태구분명정보 has 29 (100.0%) missing valuesMissing
권리주체일련번호 has 27 (93.1%) missing valuesMissing
소재지지번주소 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 22:33:32.243615
Analysis finished2023-12-10 22:33:32.640243
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

Distinct18
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T07:33:32.762403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1034483
Min length3

Characters and Unicode

Total characters90
Distinct characters24
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)41.4%

Sample

1st row광주시
2nd row김포시
3rd row김포시
4th row김포시
5th row남양주시
ValueCountFrequency (%)
화성시 4
13.8%
파주시 4
13.8%
김포시 3
 
10.3%
포천시 2
 
6.9%
동두천시 2
 
6.9%
안성시 2
 
6.9%
양평군 1
 
3.4%
연천군 1
 
3.4%
평택시 1
 
3.4%
이천시 1
 
3.4%
Other values (8) 8
27.6%
2023-12-11T07:33:33.097287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 27
30.0%
성 7
 
7.8%
주 7
 
7.8%
천 7
 
7.8%
포 5
 
5.6%
화 4
 
4.4%
파 4
 
4.4%
양 4
 
4.4%
김 3
 
3.3%
안 3
 
3.3%
Other values (14) 19
21.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 27
30.0%
성 7
 
7.8%
주 7
 
7.8%
천 7
 
7.8%
포 5
 
5.6%
화 4
 
4.4%
파 4
 
4.4%
양 4
 
4.4%
김 3
 
3.3%
안 3
 
3.3%
Other values (14) 19
21.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 27
30.0%
성 7
 
7.8%
주 7
 
7.8%
천 7
 
7.8%
포 5
 
5.6%
화 4
 
4.4%
파 4
 
4.4%
양 4
 
4.4%
김 3
 
3.3%
안 3
 
3.3%
Other values (14) 19
21.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 27
30.0%
성 7
 
7.8%
주 7
 
7.8%
천 7
 
7.8%
포 5
 
5.6%
화 4
 
4.4%
파 4
 
4.4%
양 4
 
4.4%
김 3
 
3.3%
안 3
 
3.3%
Other values (14) 19
21.1%

사업장명
Text

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T07:33:33.299499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length9.3103448
Min length4

Characters and Unicode

Total characters270
Distinct characters80
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)86.2%

Sample

1st row우진산업
2nd row영농조합법인 김포축산
3rd row(주)크레치코
4th row(주)우석식품
5th row주식회사 친환경 명품축산
ValueCountFrequency (%)
주식회사 7
 
15.6%
농업회사법인 3
 
6.7%
도드람엘피씨공사 2
 
4.4%
우경축산 2
 
4.4%
지점 2
 
4.4%
우진산업 1
 
2.2%
경기엘피씨 1
 
2.2%
한강씨엠(주 1
 
2.2%
농업회사법인정우식품주식회사 1
 
2.2%
포천농축산(주 1
 
2.2%
Other values (24) 24
53.3%
2023-12-11T07:33:33.684875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 22
 
8.1%
16
 
5.9%
사 15
 
5.6%
( 14
 
5.2%
) 14
 
5.2%
회 13
 
4.8%
식 12
 
4.4%
산 11
 
4.1%
축 9
 
3.3%
농 8
 
3.0%
Other values (70) 136
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 226
83.7%
Space Separator 16
 
5.9%
Open Punctuation 14
 
5.2%
Close Punctuation 14
 
5.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 22
 
9.7%
사 15
 
6.6%
회 13
 
5.8%
식 12
 
5.3%
산 11
 
4.9%
축 9
 
4.0%
농 8
 
3.5%
우 6
 
2.7%
업 6
 
2.7%
경 5
 
2.2%
Other values (67) 119
52.7%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 226
83.7%
Common 44
 
16.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 22
 
9.7%
사 15
 
6.6%
회 13
 
5.8%
식 12
 
5.3%
산 11
 
4.9%
축 9
 
4.0%
농 8
 
3.5%
우 6
 
2.7%
업 6
 
2.7%
경 5
 
2.2%
Other values (67) 119
52.7%
Common
ValueCountFrequency (%)
16
36.4%
( 14
31.8%
) 14
31.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 226
83.7%
ASCII 44
 
16.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 22
 
9.7%
사 15
 
6.6%
회 13
 
5.8%
식 12
 
5.3%
산 11
 
4.9%
축 9
 
4.0%
농 8
 
3.5%
우 6
 
2.7%
업 6
 
2.7%
경 5
 
2.2%
Other values (67) 119
52.7%
ASCII
ValueCountFrequency (%)
16
36.4%
( 14
31.8%
) 14
31.8%

인허가일자
Date

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum1972-05-11 00:00:00
Maximum2018-03-14 00:00:00
2023-12-11T07:33:33.868757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:33:34.017515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

영업상태구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
27 
0
 
2

Length

Max length4
Median length4
Mean length3.7931034
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> 27
93.1%
0 2
 
6.9%

Length

2023-12-11T07:33:34.168476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:33:34.284711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
93.1%
0 2
 
6.9%

영업상태명
Categorical

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
운영중
20 
폐업 등
6 
정상
 
2
휴업 등
 
1

Length

Max length4
Median length3
Mean length3.1724138
Min length2

Unique

Unique1 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 20
69.0%
폐업 등 6
 
20.7%
정상 2
 
6.9%
휴업 등 1
 
3.4%

Length

2023-12-11T07:33:34.398234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:33:34.541174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 20
55.6%
등 7
 
19.4%
폐업 6
 
16.7%
정상 2
 
5.6%
휴업 1
 
2.8%

소재지시설전화번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
27 
3180563300
 
1
313663222
 
1

Length

Max length10
Median length4
Mean length4.3793103
Min length4

Unique

Unique2 ?
Unique (%)6.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
93.1%
3180563300 1
 
3.4%
313663222 1
 
3.4%

Length

2023-12-11T07:33:34.952055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:33:35.073152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
93.1%
3180563300 1
 
3.4%
313663222 1
 
3.4%

소재지면적정보
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
27 
14544.3
 
1
7123.54
 
1

Length

Max length7
Median length4
Mean length4.2068966
Min length4

Unique

Unique2 ?
Unique (%)6.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
93.1%
14544.3 1
 
3.4%
7123.54 1
 
3.4%

Length

2023-12-11T07:33:35.201073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:33:35.317016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
93.1%
14544.3 1
 
3.4%
7123.54 1
 
3.4%

도로명우편번호
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing27
Missing (%)93.1%
Memory size364.0 B
2023-12-11T07:33:35.452125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters14
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row456-913
2nd row445-961
ValueCountFrequency (%)
456-913 1
50.0%
445-961 1
50.0%
2023-12-11T07:33:35.742418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 3
21.4%
5 2
14.3%
6 2
14.3%
- 2
14.3%
9 2
14.3%
1 2
14.3%
3 1
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12
85.7%
Dash Punctuation 2
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 3
25.0%
5 2
16.7%
6 2
16.7%
9 2
16.7%
1 2
16.7%
3 1
 
8.3%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 3
21.4%
5 2
14.3%
6 2
14.3%
- 2
14.3%
9 2
14.3%
1 2
14.3%
3 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 3
21.4%
5 2
14.3%
6 2
14.3%
- 2
14.3%
9 2
14.3%
1 2
14.3%
3 1
 
7.1%

소재지도로명주소
Text

MISSING 

Distinct23
Distinct (%)85.2%
Missing2
Missing (%)6.9%
Memory size364.0 B
2023-12-11T07:33:36.019607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length22.444444
Min length14

Characters and Unicode

Total characters606
Distinct characters106
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)74.1%

Sample

1st row경기도 광주시 곤지암읍 광여로 200-18
2nd row경기도 김포시 대곶면 대곶로 429-19 (외 1필지)
3rd row경기도 김포시 월곶면 비석동로50번길 109
4th row경기도 김포시 승가로 71 (풍무동)
5th row경기도 남양주시 진건읍 금강로361번길 50
ValueCountFrequency (%)
경기도 27
 
19.6%
파주시 4
 
2.9%
화성시 4
 
2.9%
법원읍 3
 
2.2%
자운서원로 3
 
2.2%
410-6 3
 
2.2%
김포시 3
 
2.2%
360 2
 
1.4%
신북면 2
 
1.4%
동두천시 2
 
1.4%
Other values (76) 85
61.6%
2023-12-11T07:33:36.462862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
 
18.3%
경 28
 
4.6%
기 27
 
4.5%
도 27
 
4.5%
로 25
 
4.1%
시 25
 
4.1%
1 24
 
4.0%
0 14
 
2.3%
2 14
 
2.3%
6 12
 
2.0%
Other values (96) 299
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 359
59.2%
Space Separator 111
 
18.3%
Decimal Number 108
 
17.8%
Dash Punctuation 11
 
1.8%
Open Punctuation 8
 
1.3%
Close Punctuation 8
 
1.3%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 28
 
7.8%
기 27
 
7.5%
도 27
 
7.5%
로 25
 
7.0%
시 25
 
7.0%
동 10
 
2.8%
면 9
 
2.5%
길 9
 
2.5%
읍 8
 
2.2%
성 8
 
2.2%
Other values (81) 183
51.0%
Decimal Number
ValueCountFrequency (%)
1 24
22.2%
0 14
13.0%
2 14
13.0%
6 12
11.1%
5 9
 
8.3%
4 8
 
7.4%
7 8
 
7.4%
8 7
 
6.5%
9 7
 
6.5%
3 5
 
4.6%
Space Separator
ValueCountFrequency (%)
111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 359
59.2%
Common 247
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 28
 
7.8%
기 27
 
7.5%
도 27
 
7.5%
로 25
 
7.0%
시 25
 
7.0%
동 10
 
2.8%
면 9
 
2.5%
길 9
 
2.5%
읍 8
 
2.2%
성 8
 
2.2%
Other values (81) 183
51.0%
Common
ValueCountFrequency (%)
111
44.9%
1 24
 
9.7%
0 14
 
5.7%
2 14
 
5.7%
6 12
 
4.9%
- 11
 
4.5%
5 9
 
3.6%
( 8
 
3.2%
) 8
 
3.2%
4 8
 
3.2%
Other values (5) 28
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 359
59.2%
ASCII 247
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
44.9%
1 24
 
9.7%
0 14
 
5.7%
2 14
 
5.7%
6 12
 
4.9%
- 11
 
4.5%
5 9
 
3.6%
( 8
 
3.2%
) 8
 
3.2%
4 8
 
3.2%
Other values (5) 28
 
11.3%
Hangul
ValueCountFrequency (%)
경 28
 
7.8%
기 27
 
7.5%
도 27
 
7.5%
로 25
 
7.0%
시 25
 
7.0%
동 10
 
2.8%
면 9
 
2.5%
길 9
 
2.5%
읍 8
 
2.2%
성 8
 
2.2%
Other values (81) 183
51.0%

소재지지번주소
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T07:33:36.744258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length24.068966
Min length18

Characters and Unicode

Total characters698
Distinct characters101
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row경기도 광주시 곤지암읍 열미리 502번지 4호
2nd row경기도 김포시 대곶면 석정리 1030 외 1필지
3rd row경기도 김포시 월곶면 갈산리 140번지 2호
4th row경기도 김포시 풍무동 661번지 8호
5th row경기도 남양주시 진건읍 진관리 931 3호
ValueCountFrequency (%)
경기도 29
 
17.3%
외 4
 
2.4%
파주시 4
 
2.4%
화성시 4
 
2.4%
법원읍 3
 
1.8%
동문리 3
 
1.8%
23호 3
 
1.8%
1호 3
 
1.8%
김포시 3
 
1.8%
포천시 2
 
1.2%
Other values (95) 110
65.5%
2023-12-11T07:33:37.224564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
152
21.8%
경 29
 
4.2%
도 29
 
4.2%
기 29
 
4.2%
시 27
 
3.9%
1 27
 
3.9%
지 26
 
3.7%
번 19
 
2.7%
리 19
 
2.7%
2 17
 
2.4%
Other values (91) 324
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 408
58.5%
Space Separator 152
 
21.8%
Decimal Number 129
 
18.5%
Dash Punctuation 9
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 29
 
7.1%
도 29
 
7.1%
기 29
 
7.1%
시 27
 
6.6%
지 26
 
6.4%
번 19
 
4.7%
리 19
 
4.7%
호 16
 
3.9%
동 16
 
3.9%
면 9
 
2.2%
Other values (79) 189
46.3%
Decimal Number
ValueCountFrequency (%)
1 27
20.9%
2 17
13.2%
6 16
12.4%
9 12
9.3%
0 12
9.3%
3 11
8.5%
8 9
 
7.0%
7 9
 
7.0%
4 8
 
6.2%
5 8
 
6.2%
Space Separator
ValueCountFrequency (%)
152
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 408
58.5%
Common 290
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 29
 
7.1%
도 29
 
7.1%
기 29
 
7.1%
시 27
 
6.6%
지 26
 
6.4%
번 19
 
4.7%
리 19
 
4.7%
호 16
 
3.9%
동 16
 
3.9%
면 9
 
2.2%
Other values (79) 189
46.3%
Common
ValueCountFrequency (%)
152
52.4%
1 27
 
9.3%
2 17
 
5.9%
6 16
 
5.5%
9 12
 
4.1%
0 12
 
4.1%
3 11
 
3.8%
8 9
 
3.1%
- 9
 
3.1%
7 9
 
3.1%
Other values (2) 16
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 408
58.5%
ASCII 290
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
152
52.4%
1 27
 
9.3%
2 17
 
5.9%
6 16
 
5.5%
9 12
 
4.1%
0 12
 
4.1%
3 11
 
3.8%
8 9
 
3.1%
- 9
 
3.1%
7 9
 
3.1%
Other values (2) 16
 
5.5%
Hangul
ValueCountFrequency (%)
경 29
 
7.1%
도 29
 
7.1%
기 29
 
7.1%
시 27
 
6.6%
지 26
 
6.4%
번 19
 
4.7%
리 19
 
4.7%
호 16
 
3.9%
동 16
 
3.9%
면 9
 
2.2%
Other values (79) 189
46.3%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)85.7%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean13608.75
Minimum10023
Maximum18523
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-11T07:33:37.428016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10023
5-th percentile10057.5
Q110964.75
median12342.5
Q317382.25
95-th percentile18467.7
Maximum18523
Range8500
Interquartile range (IQR)6417.5

Descriptive statistics

Standard deviation3193.5567
Coefficient of variation (CV)0.23466936
Kurtosis-1.4952941
Mean13608.75
Median Absolute Deviation (MAD)1594.5
Skewness0.52420802
Sum381045
Variance10198804
MonotonicityNot monotonic
2023-12-11T07:33:37.563226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
10825 3
 
10.3%
18523 2
 
6.9%
17533 2
 
6.9%
12717 1
 
3.4%
11008 1
 
3.4%
18297 1
 
3.4%
18365 1
 
3.4%
11140 1
 
3.4%
11138 1
 
3.4%
17748 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
10023 1
 
3.4%
10026 1
 
3.4%
10116 1
 
3.4%
10825 3
10.3%
10835 1
 
3.4%
11008 1
 
3.4%
11138 1
 
3.4%
11140 1
 
3.4%
11300 1
 
3.4%
11307 1
 
3.4%
ValueCountFrequency (%)
18523 2
6.9%
18365 1
3.4%
18297 1
3.4%
17748 1
3.4%
17533 2
6.9%
17332 1
3.4%
17148 1
3.4%
14445 1
3.4%
14014 1
3.4%
13377 1
3.4%

WGS84위도
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)85.7%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean37.527879
Minimum37.026828
Maximum38.02407
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-11T07:33:37.689686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.026828
5-th percentile37.073635
Q137.239415
median37.516176
Q337.864802
95-th percentile37.959772
Maximum38.02407
Range0.99724278
Interquartile range (IQR)0.62538746

Descriptive statistics

Standard deviation0.33117666
Coefficient of variation (CV)0.0088248168
Kurtosis-1.5503851
Mean37.527879
Median Absolute Deviation (MAD)0.31827215
Skewness-0.0020988069
Sum1050.7806
Variance0.10967798
MonotonicityNot monotonic
2023-12-11T07:33:37.854061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
37.8648021659 3
 
10.3%
37.1259925583 2
 
6.9%
37.0736351303 2
 
6.9%
37.3503467377 1
 
3.4%
38.0240704012 1
 
3.4%
37.2414263124 1
 
3.4%
37.1970147984 1
 
3.4%
37.9179343221 1
 
3.4%
37.9279504525 1
 
3.4%
37.0268276206 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
37.0268276206 1
3.4%
37.0736351303 2
6.9%
37.1259925583 2
6.9%
37.1970147984 1
3.4%
37.2333798872 1
3.4%
37.2414263124 1
3.4%
37.2499047288 1
3.4%
37.2549444194 1
3.4%
37.3503467377 1
3.4%
37.4046038888 1
3.4%
ValueCountFrequency (%)
38.0240704012 1
 
3.4%
37.9701763572 1
 
3.4%
37.9404500556 1
 
3.4%
37.9279504525 1
 
3.4%
37.9179343221 1
 
3.4%
37.8648021659 3
10.3%
37.8335590971 1
 
3.4%
37.8218799074 1
 
3.4%
37.6818058037 1
 
3.4%
37.6432075401 1
 
3.4%

WGS84경도
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)85.7%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean127.06387
Minimum126.55244
Maximum127.49538
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-11T07:33:38.002960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55244
5-th percentile126.73305
Q1126.87711
median127.05464
Q3127.21568
95-th percentile127.4941
Maximum127.49538
Range0.94293198
Interquartile range (IQR)0.33857169

Descriptive statistics

Standard deviation0.24712069
Coefficient of variation (CV)0.0019448541
Kurtosis-0.28386087
Mean127.06387
Median Absolute Deviation (MAD)0.1641774
Skewness0.25955112
Sum3557.7883
Variance0.061068634
MonotonicityNot monotonic
2023-12-11T07:33:38.131407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
126.8463526717 3
 
10.3%
126.9983753154 2
 
6.9%
127.4953763477 2
 
6.9%
127.3662243868 1
 
3.4%
127.0505011108 1
 
3.4%
126.9554668842 1
 
3.4%
127.0027059468 1
 
3.4%
127.2149900499 1
 
3.4%
127.2198669931 1
 
3.4%
127.0746586423 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
126.5524443628 1
 
3.4%
126.716037994 1
 
3.4%
126.7646451151 1
 
3.4%
126.8157806464 1
 
3.4%
126.8463526717 3
10.3%
126.8873643633 1
 
3.4%
126.9554668842 1
 
3.4%
126.9773467457 1
 
3.4%
126.9983753154 2
6.9%
127.0027059468 1
 
3.4%
ValueCountFrequency (%)
127.4953763477 2
6.9%
127.4917387362 1
3.4%
127.4886862799 1
3.4%
127.3662243868 1
3.4%
127.2198669931 1
3.4%
127.2177623716 1
3.4%
127.2149900499 1
3.4%
127.1528723046 1
3.4%
127.1279404584 1
3.4%
127.0746586423 1
3.4%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

X좌표값
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
27 
243931.910375933
 
1
199806.484503573
 
1

Length

Max length16
Median length4
Mean length4.8275862
Min length4

Unique

Unique2 ?
Unique (%)6.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
93.1%
243931.910375933 1
 
3.4%
199806.484503573 1
 
3.4%

Length

2023-12-11T07:33:38.269414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:33:38.390949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
93.1%
243931.910375933 1
 
3.4%
199806.484503573 1
 
3.4%

Y좌표값
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
27 
397040.883736591
 
1
402684.538323724
 
1

Length

Max length16
Median length4
Mean length4.8275862
Min length4

Unique

Unique2 ?
Unique (%)6.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
93.1%
397040.883736591 1
 
3.4%
402684.538323724 1
 
3.4%

Length

2023-12-11T07:33:38.506923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:33:38.625579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
93.1%
397040.883736591 1
 
3.4%
402684.538323724 1
 
3.4%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
도축업
29 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도축업 29
100.0%

Length

2023-12-11T07:33:38.765207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:33:38.859446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도축업 29
100.0%

축산고유번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
27 
0
 
2

Length

Max length4
Median length4
Mean length3.7931034
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> 27
93.1%
0 2
 
6.9%

Length

2023-12-11T07:33:38.958154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:33:39.071189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
93.1%
0 2
 
6.9%

권리주체일련번호
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing27
Missing (%)93.1%
Memory size364.0 B
2023-12-11T07:33:39.128286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters6
Distinct characters2
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowL00
2nd rowL00
ValueCountFrequency (%)
l00 2
100.0%
2023-12-11T07:33:39.319795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4
66.7%
L 2
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4
66.7%
Uppercase Letter 2
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4
66.7%
Latin 2
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4
100.0%
Latin
ValueCountFrequency (%)
L 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4
66.7%
L 2
33.3%

총종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
0
25 
25
 
2
5
 
1
324
 
1

Length

Max length3
Median length1
Mean length1.137931
Min length1

Unique

Unique2 ?
Unique (%)6.9%

Sample

1st row0
2nd row25
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 25
86.2%
25 2
 
6.9%
5 1
 
3.4%
324 1
 
3.4%

Length

2023-12-11T07:33:39.449078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:33:39.552393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
86.2%
25 2
 
6.9%
5 1
 
3.4%
324 1
 
3.4%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값축산업무구분명축산고유번호권리주체일련번호총종업원수
0광주시우진산업19750528<NA><NA>운영중<NA><NA><NA>경기도 광주시 곤지암읍 광여로 200-18경기도 광주시 곤지암읍 열미리 502번지 4호1271737.350347127.366224<NA><NA><NA>도축업<NA><NA>0
1김포시영농조합법인 김포축산20130530<NA><NA>운영중<NA><NA><NA>경기도 김포시 대곶면 대곶로 429-19 (외 1필지)경기도 김포시 대곶면 석정리 1030 외 1필지1002637.681806126.552444<NA><NA><NA>도축업<NA><NA>25
2김포시(주)크레치코19890522<NA><NA>운영중<NA><NA><NA>경기도 김포시 월곶면 비석동로50번길 109경기도 김포시 월곶면 갈산리 140번지 2호10023<NA><NA><NA><NA><NA>도축업<NA><NA>0
3김포시(주)우석식품19891103<NA><NA>운영중<NA><NA><NA>경기도 김포시 승가로 71 (풍무동)경기도 김포시 풍무동 661번지 8호1011637.604862126.716038<NA><NA><NA>도축업<NA><NA>0
4남양주시주식회사 친환경 명품축산19980924<NA><NA>운영중<NA><NA><NA>경기도 남양주시 진건읍 금강로361번길 50경기도 남양주시 진건읍 진관리 931 3호1213937.643208127.152872<NA><NA><NA>도축업<NA><NA>0
5동두천시우림축산(주)19990101<NA><NA>폐업 등<NA><NA><NA>경기도 동두천시 평화로2862번길 42경기도 동두천시 상봉암동 146-17외 1필지1130737.94045127.060297<NA><NA><NA>도축업<NA><NA>0
6동두천시(주)마니커 동두천지점19981104<NA><NA>운영중<NA><NA><NA>경기도 동두천시 승전로 6 (하봉암동)경기도 동두천시 하봉암동 127번지1130037.970176127.065619<NA><NA><NA>도축업<NA><NA>0
7부천시농협경제지주주식회사 부천축산물공판장20000223<NA><NA>운영중<NA><NA><NA>경기도 부천시 송내대로518번길 71 (삼정동)경기도 부천시 삼정동 12번지 4호1444537.530607126.764645<NA><NA><NA>도축업<NA><NA>0
8성남시한국축산혁신협동조합20180314<NA><NA>운영중<NA><NA><NA>경기도 성남시 중원구 둔촌대로 79, 1층 (성남동)경기도 성남시 중원구 성남동 4190번지 0호1337737.430249127.12794<NA><NA><NA>도축업<NA><NA>5
9수원시신원(주)19791210<NA><NA>폐업 등<NA><NA><NA><NA>경기도 수원시 권선구 오목천동 788-1<NA>37.23338126.977347<NA><NA><NA>도축업<NA><NA>0
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값축산업무구분명축산고유번호권리주체일련번호총종업원수
19파주시참진오리20061023<NA><NA>폐업 등<NA><NA><NA>경기도 파주시 법원읍 자운서원로 410-6경기도 파주시 법원읍 동문리 619 23호 1 51082537.864802126.846353<NA><NA><NA>도축업<NA><NA>25
20파주시자연일가(주)20160429<NA><NA>운영중<NA><NA><NA>경기도 파주시 법원읍 자운서원로 410-6경기도 파주시 법원읍 동문리 619번지 23호1082537.864802126.846353<NA><NA><NA>도축업<NA><NA>324
21파주시농업회사법인 주식회사 자연일가20090304<NA><NA>폐업 등<NA><NA><NA>경기도 파주시 법원읍 자운서원로 410-6경기도 파주시 법원읍 동문리 619번지 23호 1통 5반1082537.864802126.846353<NA><NA><NA>도축업<NA><NA>0
22평택시(주)평농19800911<NA><NA>운영중<NA><NA><NA>경기도 평택시 칠괴길 25경기도 평택시 지제동 233-11774837.026828127.074659<NA><NA><NA>도축업<NA><NA>0
23포천시포천농축산(주)19981218<NA><NA>운영중<NA><NA><NA>경기도 포천시 신북면 중앙로461번길 25경기도 포천시 신북면 신평리 647번지 8호1113837.92795127.219867<NA><NA><NA>도축업<NA><NA>0
24포천시농업회사법인정우식품주식회사19990109<NA><NA>운영중<NA><NA><NA>경기도 포천시 신북면 중앙로 378경기도 포천시 신북면 가채리 295번지 1호1114037.917934127.21499<NA><NA><NA>도축업<NA><NA>0
25화성시주식회사 우경축산 (지점)1978-08-22<NA>0정상3136632227123.54445-961경기도 화성시 정남면 내향로 360경기도 화성시 정남면 귀래리 209-26 외 10필지1852337.125993126.998375<NA>199806.484504402684.538324도축업0L000
26화성시주식회사 우경축산 (지점)19780822<NA><NA>운영중<NA><NA><NA>경기도 화성시 정남면 내향로 360경기도 화성시 정남면 귀래리 209-26 외 10필지1852337.125993126.998375<NA><NA><NA>도축업<NA><NA>0
27화성시한강씨엠(주)20050822<NA><NA>운영중<NA><NA><NA>경기도 화성시 만년로969번길 17경기도 화성시 안녕동 안녕리 146-1231836537.197015127.002706<NA><NA><NA>도축업<NA><NA>0
28화성시에비앙푸드 주식회사19821028<NA><NA>운영중<NA><NA><NA>경기도 화성시 봉담읍 효행로20번길 16-32경기도 화성시 봉담읍 수영리 387번지 1호1829737.241426126.955467<NA><NA><NA>도축업<NA><NA>0