Overview

Dataset statistics

Number of variables8
Number of observations66
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory66.9 B

Variable types

Numeric1
Categorical3
Text4

Dataset

Description광주광역시 마을기업별 주사무소 소재지, 명칭, 유형, 업종, 주 생산품, 사업내용에 대한 세부 자료로써 자치구별로 정보 제공됩니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15121555/fileData.do

Alerts

연번 is highly overall correlated with 시군구High correlation
시군구 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
마을기업명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 13:22:43.484860
Analysis finished2024-03-14 13:22:45.545674
Duration2.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.5
Minimum1
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-03-14T22:22:45.750362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.25
Q117.25
median33.5
Q349.75
95-th percentile62.75
Maximum66
Range65
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation19.196354
Coefficient of variation (CV)0.57302549
Kurtosis-1.2
Mean33.5
Median Absolute Deviation (MAD)16.5
Skewness0
Sum2211
Variance368.5
MonotonicityStrictly increasing
2024-03-14T22:22:46.393056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
51 1
 
1.5%
37 1
 
1.5%
38 1
 
1.5%
39 1
 
1.5%
40 1
 
1.5%
41 1
 
1.5%
42 1
 
1.5%
43 1
 
1.5%
44 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%
57 1
1.5%

시군구
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size656.0 B
북구
19 
남구
16 
광산구
12 
동구
11 
서구
8 

Length

Max length3
Median length2
Mean length2.1818182
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북구 19
28.8%
남구 16
24.2%
광산구 12
18.2%
동구 11
16.7%
서구 8
12.1%

Length

2024-03-14T22:22:46.812313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:22:47.149111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 19
28.8%
남구 16
24.2%
광산구 12
18.2%
동구 11
16.7%
서구 8
12.1%

소재지
Text

Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size656.0 B
2024-03-14T22:22:48.381230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23.5
Mean length19.378788
Min length14

Characters and Unicode

Total characters1279
Distinct characters116
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

Unique64 ?
Unique (%)97.0%

Sample

1st row광주광역시 동구 재봉로 140번길 8, 1층
2nd row광주광역시 동구 무등로 329
3rd row광주광역시 동구 필문대로273번길 18, 3층
4th row광주광역시 동구 동명로67번길 19
5th row광주광역시 동구 지산로57번길 9-7, 1층
ValueCountFrequency (%)
광주광역시 66
24.1%
북구 19
 
6.9%
남구 16
 
5.8%
광산구 12
 
4.4%
동구 11
 
4.0%
서구 8
 
2.9%
1층 3
 
1.1%
11 3
 
1.1%
중외길 2
 
0.7%
무등로 2
 
0.7%
Other values (125) 132
48.2%
2024-03-14T22:22:50.057404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
209
16.3%
광 145
 
11.3%
구 67
 
5.2%
1 66
 
5.2%
역 66
 
5.2%
시 66
 
5.2%
주 66
 
5.2%
로 55
 
4.3%
길 37
 
2.9%
3 31
 
2.4%
Other values (106) 471
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 775
60.6%
Decimal Number 261
 
20.4%
Space Separator 209
 
16.3%
Dash Punctuation 23
 
1.8%
Other Punctuation 9
 
0.7%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 145
18.7%
구 67
 
8.6%
역 66
 
8.5%
시 66
 
8.5%
주 66
 
8.5%
로 55
 
7.1%
길 37
 
4.8%
번 26
 
3.4%
북 19
 
2.5%
남 17
 
2.2%
Other values (91) 211
27.2%
Decimal Number
ValueCountFrequency (%)
1 66
25.3%
3 31
11.9%
2 28
10.7%
7 25
 
9.6%
0 24
 
9.2%
4 22
 
8.4%
5 19
 
7.3%
6 18
 
6.9%
8 17
 
6.5%
9 11
 
4.2%
Space Separator
ValueCountFrequency (%)
209
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 775
60.6%
Common 504
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 145
18.7%
구 67
 
8.6%
역 66
 
8.5%
시 66
 
8.5%
주 66
 
8.5%
로 55
 
7.1%
길 37
 
4.8%
번 26
 
3.4%
북 19
 
2.5%
남 17
 
2.2%
Other values (91) 211
27.2%
Common
ValueCountFrequency (%)
209
41.5%
1 66
 
13.1%
3 31
 
6.2%
2 28
 
5.6%
7 25
 
5.0%
0 24
 
4.8%
- 23
 
4.6%
4 22
 
4.4%
5 19
 
3.8%
6 18
 
3.6%
Other values (5) 39
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 775
60.6%
ASCII 504
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
209
41.5%
1 66
 
13.1%
3 31
 
6.2%
2 28
 
5.6%
7 25
 
5.0%
0 24
 
4.8%
- 23
 
4.6%
4 22
 
4.4%
5 19
 
3.8%
6 18
 
3.6%
Other values (5) 39
 
7.7%
Hangul
ValueCountFrequency (%)
광 145
18.7%
구 67
 
8.6%
역 66
 
8.5%
시 66
 
8.5%
주 66
 
8.5%
로 55
 
7.1%
길 37
 
4.8%
번 26
 
3.4%
북 19
 
2.5%
남 17
 
2.2%
Other values (91) 211
27.2%

마을기업명
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size656.0 B
2024-03-14T22:22:50.787641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length15
Mean length9.030303
Min length2

Characters and Unicode

Total characters596
Distinct characters192
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)100.0%

Sample

1st row에꼴드팡세
2nd row(주)경양마을
3rd row㈜시엔터치
4th row㈜통통마을신문
5th row신시와커뮤니티(협)
ValueCountFrequency (%)
협동조합 4
 
5.3%
에꼴드팡세 1
 
1.3%
사)틔움복지재단 1
 
1.3%
연극마을문화공동체협동조합 1
 
1.3%
태화협동조합 1
 
1.3%
꿈꾸는엄마들협동조합 1
 
1.3%
무등산수박마을영농조합 1
 
1.3%
오월 1
 
1.3%
사)빛고을행복마을경제문화공동체(주먹밥카페 1
 
1.3%
바우푸드협동조합 1
 
1.3%
Other values (63) 63
82.9%
2024-03-14T22:22:51.724002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
조 45
 
7.6%
합 45
 
7.6%
동 44
 
7.4%
협 39
 
6.5%
마 18
 
3.0%
을 17
 
2.9%
10
 
1.7%
( 9
 
1.5%
) 9
 
1.5%
주 8
 
1.3%
Other values (182) 352
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 558
93.6%
Space Separator 10
 
1.7%
Open Punctuation 9
 
1.5%
Close Punctuation 9
 
1.5%
Other Symbol 5
 
0.8%
Decimal Number 3
 
0.5%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 45
 
8.1%
합 45
 
8.1%
동 44
 
7.9%
협 39
 
7.0%
마 18
 
3.2%
을 17
 
3.0%
주 8
 
1.4%
화 8
 
1.4%
인 7
 
1.3%
농 7
 
1.3%
Other values (174) 320
57.3%
Decimal Number
ValueCountFrequency (%)
7 1
33.3%
3 1
33.3%
9 1
33.3%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Other Punctuation
ValueCountFrequency (%)
' 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 563
94.5%
Common 33
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 45
 
8.0%
합 45
 
8.0%
동 44
 
7.8%
협 39
 
6.9%
마 18
 
3.2%
을 17
 
3.0%
주 8
 
1.4%
화 8
 
1.4%
인 7
 
1.2%
농 7
 
1.2%
Other values (175) 325
57.7%
Common
ValueCountFrequency (%)
10
30.3%
( 9
27.3%
) 9
27.3%
' 2
 
6.1%
7 1
 
3.0%
3 1
 
3.0%
9 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 558
93.6%
ASCII 33
 
5.5%
None 5
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
조 45
 
8.1%
합 45
 
8.1%
동 44
 
7.9%
협 39
 
7.0%
마 18
 
3.2%
을 17
 
3.0%
주 8
 
1.4%
화 8
 
1.4%
인 7
 
1.3%
농 7
 
1.3%
Other values (174) 320
57.3%
ASCII
ValueCountFrequency (%)
10
30.3%
( 9
27.3%
) 9
27.3%
' 2
 
6.1%
7 1
 
3.0%
3 1
 
3.0%
9 1
 
3.0%
None
ValueCountFrequency (%)
㈜ 5
100.0%

유형
Categorical

Distinct11
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size656.0 B
일반식품
20 
공예품
12 
기타
10 
교육
8 
전통식품
4 
Other values (6)
12 

Length

Max length4
Median length3.5
Mean length3.2272727
Min length2

Unique

Unique3 ?
Unique (%)4.5%

Sample

1st row일반식품
2nd row기타
3rd row기타
4th row문화예술
5th row기타

Common Values

ValueCountFrequency (%)
일반식품 20
30.3%
공예품 12
18.2%
기타 10
15.2%
교육 8
 
12.1%
전통식품 4
 
6.1%
관광체험 4
 
6.1%
재활용 3
 
4.5%
문화예술 2
 
3.0%
의류신발 1
 
1.5%
유통기업 1
 
1.5%

Length

2024-03-14T22:22:51.970128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반식품 20
30.3%
공예품 12
18.2%
기타 10
15.2%
교육 8
 
12.1%
전통식품 4
 
6.1%
관광체험 4
 
6.1%
재활용 3
 
4.5%
문화예술 2
 
3.0%
의류신발 1
 
1.5%
유통기업 1
 
1.5%

업종
Categorical

Distinct28
Distinct (%)42.4%
Missing0
Missing (%)0.0%
Memory size656.0 B
제조업
21 
도소매
8 
서비스업
4 
서비스
3 
일반식품
3 
Other values (23)
27 

Length

Max length12
Median length3
Mean length3.7878788
Min length2

Unique

Unique19 ?
Unique (%)28.8%

Sample

1st row음식업
2nd row건설업
3rd row소프트영상
4th row출판
5th row서비스

Common Values

ValueCountFrequency (%)
제조업 21
31.8%
도소매 8
 
12.1%
서비스업 4
 
6.1%
서비스 3
 
4.5%
일반식품 3
 
4.5%
음식점업 2
 
3.0%
교육서비스 2
 
3.0%
교육서비스업 2
 
3.0%
기타 2
 
3.0%
산업디자인 1
 
1.5%
Other values (18) 18
27.3%

Length

2024-03-14T22:22:52.201753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조업 21
29.6%
도소매 8
 
11.3%
서비스업 4
 
5.6%
서비스 3
 
4.2%
일반식품 3
 
4.2%
음식점업 3
 
4.2%
교육서비스 2
 
2.8%
교육서비스업 2
 
2.8%
기타 2
 
2.8%
음식업 1
 
1.4%
Other values (22) 22
31.0%

주생산품 또는 서비스명
Text

Distinct59
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size656.0 B
2024-03-14T22:22:53.089968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length13
Mean length7.8030303
Min length2

Characters and Unicode

Total characters515
Distinct characters138
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)83.3%

Sample

1st row 식품 제조 및 판매
2nd row 집수리
3rd row 사진영상
4th row 마을신문
5th row 문화예술사업
ValueCountFrequency (%)
식품 7
 
6.7%
제조판매 6
 
5.8%
및 6
 
5.8%
판매 4
 
3.8%
공예품 4
 
3.8%
교육서비스 3
 
2.9%
화훼 3
 
2.9%
수공예 3
 
2.9%
제작판매 3
 
2.9%
체험 2
 
1.9%
Other values (63) 63
60.6%
2024-03-14T22:22:54.217349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
24.3%
공 18
 
3.5%
제 17
 
3.3%
품 16
 
3.1%
매 16
 
3.1%
판 15
 
2.9%
예 14
 
2.7%
교 11
 
2.1%
육 10
 
1.9%
식 9
 
1.7%
Other values (128) 264
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 380
73.8%
Space Separator 125
 
24.3%
Other Punctuation 10
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 18
 
4.7%
제 17
 
4.5%
품 16
 
4.2%
매 16
 
4.2%
판 15
 
3.9%
예 14
 
3.7%
교 11
 
2.9%
육 10
 
2.6%
식 9
 
2.4%
조 8
 
2.1%
Other values (125) 246
64.7%
Other Punctuation
ValueCountFrequency (%)
, 7
70.0%
. 3
30.0%
Space Separator
ValueCountFrequency (%)
125
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 380
73.8%
Common 135
 
26.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 18
 
4.7%
제 17
 
4.5%
품 16
 
4.2%
매 16
 
4.2%
판 15
 
3.9%
예 14
 
3.7%
교 11
 
2.9%
육 10
 
2.6%
식 9
 
2.4%
조 8
 
2.1%
Other values (125) 246
64.7%
Common
ValueCountFrequency (%)
125
92.6%
, 7
 
5.2%
. 3
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 380
73.8%
ASCII 135
 
26.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
125
92.6%
, 7
 
5.2%
. 3
 
2.2%
Hangul
ValueCountFrequency (%)
공 18
 
4.7%
제 17
 
4.5%
품 16
 
4.2%
매 16
 
4.2%
판 15
 
3.9%
예 14
 
3.7%
교 11
 
2.9%
육 10
 
2.6%
식 9
 
2.4%
조 8
 
2.1%
Other values (125) 246
64.7%

사업내용
Text

Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size656.0 B
2024-03-14T22:22:55.443156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length28
Mean length18.151515
Min length6

Characters and Unicode

Total characters1198
Distinct characters244
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)97.0%

Sample

1st row커피 음료 식품 제조 판매
2nd row인테리어 주거환경개선, 기술교육 일자리 제공
3rd row홍보동영상, 어플개발 등
4th row마을신문 발행
5th row한옥 케스트하우스 운영
ValueCountFrequency (%)
및 20
 
7.2%
판매 16
 
5.7%
운영 8
 
2.9%
제조 7
 
2.5%
개발 6
 
2.2%
등 6
 
2.2%
제작 5
 
1.8%
교육 4
 
1.4%
수공예품 4
 
1.4%
제조·판매 4
 
1.4%
Other values (182) 199
71.3%
2024-03-14T22:22:57.145632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
213
 
17.8%
, 56
 
4.7%
매 31
 
2.6%
제 30
 
2.5%
판 29
 
2.4%
공 24
 
2.0%
품 22
 
1.8%
및 20
 
1.7%
교 20
 
1.7%
예 19
 
1.6%
Other values (234) 734
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 911
76.0%
Space Separator 213
 
17.8%
Other Punctuation 69
 
5.8%
Lowercase Letter 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
매 31
 
3.4%
제 30
 
3.3%
판 29
 
3.2%
공 24
 
2.6%
품 22
 
2.4%
및 20
 
2.2%
교 20
 
2.2%
예 19
 
2.1%
육 18
 
2.0%
리 13
 
1.4%
Other values (224) 685
75.2%
Other Punctuation
ValueCountFrequency (%)
, 56
81.2%
· 10
 
14.5%
. 2
 
2.9%
/ 1
 
1.4%
Space Separator
ValueCountFrequency (%)
213
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 911
76.0%
Common 285
 
23.8%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
매 31
 
3.4%
제 30
 
3.3%
판 29
 
3.2%
공 24
 
2.6%
품 22
 
2.4%
및 20
 
2.2%
교 20
 
2.2%
예 19
 
2.1%
육 18
 
2.0%
리 13
 
1.4%
Other values (224) 685
75.2%
Common
ValueCountFrequency (%)
213
74.7%
, 56
 
19.6%
· 10
 
3.5%
. 2
 
0.7%
/ 1
 
0.4%
) 1
 
0.4%
( 1
 
0.4%
3 1
 
0.4%
Latin
ValueCountFrequency (%)
e 1
50.0%
D 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 911
76.0%
ASCII 277
 
23.1%
None 10
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
213
76.9%
, 56
 
20.2%
. 2
 
0.7%
/ 1
 
0.4%
e 1
 
0.4%
) 1
 
0.4%
( 1
 
0.4%
D 1
 
0.4%
3 1
 
0.4%
Hangul
ValueCountFrequency (%)
매 31
 
3.4%
제 30
 
3.3%
판 29
 
3.2%
공 24
 
2.6%
품 22
 
2.4%
및 20
 
2.2%
교 20
 
2.2%
예 19
 
2.1%
육 18
 
2.0%
리 13
 
1.4%
Other values (224) 685
75.2%
None
ValueCountFrequency (%)
· 10
100.0%

Interactions

2024-03-14T22:22:44.636725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T22:22:57.418336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군구소재지마을기업명유형업종주생산품 또는 서비스명사업내용
연번1.0000.9940.9361.0000.4710.6750.9731.000
시군구0.9941.0001.0001.0000.1970.6970.9901.000
소재지0.9361.0001.0001.0000.9550.9920.9910.998
마을기업명1.0001.0001.0001.0001.0001.0001.0001.000
유형0.4710.1970.9551.0001.0000.8431.0001.000
업종0.6750.6970.9921.0000.8431.0000.9991.000
주생산품 또는 서비스명0.9730.9900.9911.0001.0000.9991.0001.000
사업내용1.0001.0000.9981.0001.0001.0001.0001.000
2024-03-14T22:22:57.715207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형시군구업종
유형1.0000.0910.396
시군구0.0911.0000.326
업종0.3960.3261.000
2024-03-14T22:22:57.955382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군구유형업종
연번1.0000.8390.1790.237
시군구0.8391.0000.0910.326
유형0.1790.0911.0000.396
업종0.2370.3260.3961.000

Missing values

2024-03-14T22:22:44.978019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:22:45.386888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번시군구소재지마을기업명유형업종주생산품 또는 서비스명사업내용
01동구광주광역시 동구 재봉로 140번길 8, 1층에꼴드팡세일반식품음식업식품 제조 및 판매커피 음료 식품 제조 판매
12동구광주광역시 동구 무등로 329(주)경양마을기타건설업집수리인테리어 주거환경개선, 기술교육 일자리 제공
23동구광주광역시 동구 필문대로273번길 18, 3층㈜시엔터치기타소프트영상사진영상홍보동영상, 어플개발 등
34동구광주광역시 동구 동명로67번길 19㈜통통마을신문문화예술출판마을신문마을신문 발행
45동구광주광역시 동구 지산로57번길 9-7, 1층신시와커뮤니티(협)기타서비스문화예술사업한옥 케스트하우스 운영
56동구광주광역시 동구 장동로 23-59플리마코협동조합기타제조, 서비스,도소매아트상품, 행사대행아트상품, 문화행사 대행, 문호공간 조성
67동구광주광역시 동구 동계로10번길 16, 3층행복한쓰임협동조합재활용의류순환의류리폼, 미싱교육의류순환사업, 미싱교육
78동구광주광역시 동구 동명로67번길 22-47협동조합 산수다락기타산업디자인생활창작품디자인서비스, 풀판인쇄, 도시농업 교육
89동구광주광역시 동구 중앙로214, 403호협동조합 잇고공예품제조업공예품디지털 공예 및 야외용 근력측정기 제조
910동구광주광역시 동구 의재로 105광주무등산춘설차영농조합법인일반식품제조업녹차무등산 춘설차 관련 제품 개발
연번시군구소재지마을기업명유형업종주생산품 또는 서비스명사업내용
5657광산구광주광역시 광산구 장덕로40번길 36우리마을좋은사람들협동조합기타서비스업청소서비스공동주택 및 상가 청소, 관리
5758광산구광주광역시 광산구 사암로118번길 77-14더불어락두부마을협동조합전통식품제조업식품 제조판매국산콩 두부 등 제조·판매
5859광산구광주광역시 광산구 사암로 339(501호)놀이문화공동체협동조합교육교육서비스업교육서비스놀이강사 파견 및 놀이학당 운영
5960광산구광주광역시 광산구 월곡중앙로1번길 11예쁜손공예협동조합공예품제조업수공예 제작판매수공예품 제작·판매
6061광산구광주광역시 광산구 사암로 106번길 119들래미협동조합일반식품제조업우리밀러스크우리밀빵 제조·판매
6162광산구광주광역시 광산구 하남대로 71, 4층 10호해찬마을협동조합일반식품제조업식품 제조판매반찬 제조 및 유통·판매
6263광산구광주광역시 광산구 신창로105번길 34-8수다협동조합일반식품제조업식품 제조판매식품 제조·판매, 창업교육서비스
6364광산구광주광역시 광산구 용진로 376-3본빵협동조합일반식품제조업식품 제조판매우리밀빵 제조·판매, 카페운영
6465광산구광주광역시 광산구 광산로30번길 65 8동8호남도청년보부상협동조합공예품도소매수공예 제작판매수공예품 제작·판매,플리마켓 운영
6566광산구광주광역시 광산구 앰코로 35, 폭스존 307-1호살랑가협동조합공예품도소매수공예 제작판매수공예품 제작·판매,플리마켓 운영