Overview

Dataset statistics

Number of variables11
Number of observations95
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.5 KiB
Average record size in memory91.4 B

Variable types

Numeric1
Categorical6
Text4

Dataset

Description산림형 예비사회적기업 지정현황입니다. 산림청 예비사회적기업은사회적 기업 인증요건을 갖추지는 못하였으나 사회적 목적실현 등 사회적 기업으로서의 실체를 갖춘 기업으로 사회적 기업으로 전환육성하기 위하여 중앙행정기관의 장이 지정한 기업입니다.
Author산림청
URLhttps://www.data.go.kr/data/15110278/fileData.do

Alerts

지정시작일 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
지정연도 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
지정종료일 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
지정차수 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
연번 is highly overall correlated with 지정연도 and 3 other fieldsHigh correlation
연번 has unique valuesUnique
기업명 has unique valuesUnique
대표자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:23:03.471156
Analysis finished2023-12-12 17:23:04.620914
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48
Minimum1
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-13T02:23:04.681922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.7
Q124.5
median48
Q371.5
95-th percentile90.3
Maximum95
Range94
Interquartile range (IQR)47

Descriptive statistics

Standard deviation27.568098
Coefficient of variation (CV)0.57433536
Kurtosis-1.2
Mean48
Median Absolute Deviation (MAD)24
Skewness0
Sum4560
Variance760
MonotonicityStrictly increasing
2023-12-13T02:23:04.798612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
2 1
 
1.1%
71 1
 
1.1%
70 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
Other values (85) 85
89.5%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
95 1
1.1%
94 1
1.1%
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%

지정연도
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
2021
36 
2020
33 
2022
26 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2021 36
37.9%
2020 33
34.7%
2022 26
27.4%

Length

2023-12-13T02:23:04.908644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:23:05.065636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 36
37.9%
2020 33
34.7%
2022 26
27.4%
Distinct94
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-13T02:23:05.260830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.757895
Min length12

Characters and Unicode

Total characters1212
Distinct characters17
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

Unique93 ?
Unique (%)97.9%

Sample

1st row산림청 제2020-1호
2nd row산림청 제2020-2호
3rd row산림청 제2020-3호
4th row산림청 제2020-5호
5th row산림청 제2020-7호
ValueCountFrequency (%)
산림청 95
50.0%
제2022-25호 2
 
1.1%
제2022-24호 1
 
0.5%
제2021-27호 1
 
0.5%
제2021-37호 1
 
0.5%
제2021-36호 1
 
0.5%
제2021-35호 1
 
0.5%
제2021-34호 1
 
0.5%
제2021-33호 1
 
0.5%
제2021-32호 1
 
0.5%
Other values (85) 85
44.7%
2023-12-13T02:23:05.608742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 253
20.9%
0 136
11.2%
95
 
7.8%
95
 
7.8%
95
 
7.8%
95
 
7.8%
- 95
 
7.8%
95
 
7.8%
95
 
7.8%
1 71
 
5.9%
Other values (7) 87
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 547
45.1%
Other Letter 475
39.2%
Space Separator 95
 
7.8%
Dash Punctuation 95
 
7.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 253
46.3%
0 136
24.9%
1 71
 
13.0%
3 29
 
5.3%
5 12
 
2.2%
4 11
 
2.0%
7 9
 
1.6%
9 9
 
1.6%
6 9
 
1.6%
8 8
 
1.5%
Other Letter
ValueCountFrequency (%)
95
20.0%
95
20.0%
95
20.0%
95
20.0%
95
20.0%
Space Separator
ValueCountFrequency (%)
95
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 737
60.8%
Hangul 475
39.2%

Most frequent character per script

Common
ValueCountFrequency (%)
2 253
34.3%
0 136
18.5%
95
 
12.9%
- 95
 
12.9%
1 71
 
9.6%
3 29
 
3.9%
5 12
 
1.6%
4 11
 
1.5%
7 9
 
1.2%
9 9
 
1.2%
Other values (2) 17
 
2.3%
Hangul
ValueCountFrequency (%)
95
20.0%
95
20.0%
95
20.0%
95
20.0%
95
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 737
60.8%
Hangul 475
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 253
34.3%
0 136
18.5%
95
 
12.9%
- 95
 
12.9%
1 71
 
9.6%
3 29
 
3.9%
5 12
 
1.6%
4 11
 
1.5%
7 9
 
1.2%
9 9
 
1.2%
Other values (2) 17
 
2.3%
Hangul
ValueCountFrequency (%)
95
20.0%
95
20.0%
95
20.0%
95
20.0%
95
20.0%

지정시작일
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size892.0 B
2022-09-30
16 
2020-08-20
15 
2021-12-01
14 
2021-06-28
12 
2020-11-23
11 
Other values (4)
27 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-05-20
2nd row2020-05-20
3rd row2020-05-20
4th row2020-05-20
5th row2020-05-20

Common Values

ValueCountFrequency (%)
2022-09-30 16
16.8%
2020-08-20 15
15.8%
2021-12-01 14
14.7%
2021-06-28 12
12.6%
2020-11-23 11
11.6%
2021-09-15 10
10.5%
2020-05-20 7
7.4%
2022-06-20 5
 
5.3%
2022-11-23 5
 
5.3%

Length

2023-12-13T02:23:05.757714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:23:05.877565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-30 16
16.8%
2020-08-20 15
15.8%
2021-12-01 14
14.7%
2021-06-28 12
12.6%
2020-11-23 11
11.6%
2021-09-15 10
10.5%
2020-05-20 7
7.4%
2022-06-20 5
 
5.3%
2022-11-23 5
 
5.3%

지정종료일
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size892.0 B
2025-09-29
16 
2023-08-19
15 
2024-11-30
14 
2024-06-27
12 
2023-11-22
10 
Other values (5)
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-04-30
2nd row2023-04-30
3rd row2023-04-30
4th row2023-05-19
5th row2023-04-30

Common Values

ValueCountFrequency (%)
2025-09-29 16
16.8%
2023-08-19 15
15.8%
2024-11-30 14
14.7%
2024-06-27 12
12.6%
2023-11-22 10
10.5%
2024-09-14 10
10.5%
2023-04-30 5
 
5.3%
2025-06-19 5
 
5.3%
2025-11-22 5
 
5.3%
2023-05-19 3
 
3.2%

Length

2023-12-13T02:23:06.005015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:23:06.113920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2025-09-29 16
16.8%
2023-08-19 15
15.8%
2024-11-30 14
14.7%
2024-06-27 12
12.6%
2023-11-22 10
10.5%
2024-09-14 10
10.5%
2023-04-30 5
 
5.3%
2025-06-19 5
 
5.3%
2025-11-22 5
 
5.3%
2023-05-19 3
 
3.2%

기업명
Text

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-13T02:23:06.341024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length10.6
Min length3

Characters and Unicode

Total characters1007
Distinct characters203
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)100.0%

Sample

1st row주식회사 나누우리
2nd row㈜이천평생교육원
3rd row주식회사 감성숲
4th row주식회사 산솔
5th row우진송죽 영농조합법인
ValueCountFrequency (%)
주식회사 26
 
16.2%
농업회사법인 13
 
8.1%
사회적협동조합 9
 
5.6%
협동조합 5
 
3.1%
농업회사법인(주 3
 
1.9%
영농조합법인 3
 
1.9%
3
 
1.9%
유한회사 2
 
1.2%
주식회사싯딤나무 1
 
0.6%
가천산방 1
 
0.6%
Other values (94) 94
58.8%
2023-12-13T02:23:06.774949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
76
 
7.5%
73
 
7.2%
65
 
6.5%
44
 
4.4%
36
 
3.6%
29
 
2.9%
29
 
2.9%
28
 
2.8%
26
 
2.6%
26
 
2.6%
Other values (193) 575
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 900
89.4%
Space Separator 65
 
6.5%
Other Symbol 13
 
1.3%
Close Punctuation 12
 
1.2%
Open Punctuation 12
 
1.2%
Uppercase Letter 4
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
76
 
8.4%
73
 
8.1%
44
 
4.9%
36
 
4.0%
29
 
3.2%
29
 
3.2%
28
 
3.1%
26
 
2.9%
26
 
2.9%
25
 
2.8%
Other values (184) 508
56.4%
Uppercase Letter
ValueCountFrequency (%)
O 1
25.0%
G 1
25.0%
A 1
25.0%
M 1
25.0%
Space Separator
ValueCountFrequency (%)
65
100.0%
Other Symbol
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Other Punctuation
ValueCountFrequency (%)
! 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 913
90.7%
Common 90
 
8.9%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
76
 
8.3%
73
 
8.0%
44
 
4.8%
36
 
3.9%
29
 
3.2%
29
 
3.2%
28
 
3.1%
26
 
2.8%
26
 
2.8%
25
 
2.7%
Other values (185) 521
57.1%
Common
ValueCountFrequency (%)
65
72.2%
) 12
 
13.3%
( 12
 
13.3%
! 1
 
1.1%
Latin
ValueCountFrequency (%)
O 1
25.0%
G 1
25.0%
A 1
25.0%
M 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 900
89.4%
ASCII 94
 
9.3%
None 13
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
76
 
8.4%
73
 
8.1%
44
 
4.9%
36
 
4.0%
29
 
3.2%
29
 
3.2%
28
 
3.1%
26
 
2.9%
26
 
2.9%
25
 
2.8%
Other values (184) 508
56.4%
ASCII
ValueCountFrequency (%)
65
69.1%
) 12
 
12.8%
( 12
 
12.8%
O 1
 
1.1%
G 1
 
1.1%
A 1
 
1.1%
M 1
 
1.1%
! 1
 
1.1%
None
ValueCountFrequency (%)
13
100.0%

대표자
Text

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-13T02:23:07.078684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters285
Distinct characters103
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

Unique95 ?
Unique (%)100.0%

Sample

1st row임리라
2nd row임종빈
3rd row오미정
4th row이기훈
5th row김필제
ValueCountFrequency (%)
임리라 1
 
1.1%
김대용 1
 
1.1%
최성민 1
 
1.1%
심정아 1
 
1.1%
임원장 1
 
1.1%
김영모 1
 
1.1%
윤혁복 1
 
1.1%
송민옥 1
 
1.1%
이종호 1
 
1.1%
장인경 1
 
1.1%
Other values (85) 85
89.5%
2023-12-13T02:23:07.556840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
6.7%
14
 
4.9%
10
 
3.5%
8
 
2.8%
7
 
2.5%
7
 
2.5%
6
 
2.1%
6
 
2.1%
6
 
2.1%
6
 
2.1%
Other values (93) 196
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 285
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
19
 
6.7%
14
 
4.9%
10
 
3.5%
8
 
2.8%
7
 
2.5%
7
 
2.5%
6
 
2.1%
6
 
2.1%
6
 
2.1%
6
 
2.1%
Other values (93) 196
68.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 285
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
19
 
6.7%
14
 
4.9%
10
 
3.5%
8
 
2.8%
7
 
2.5%
7
 
2.5%
6
 
2.1%
6
 
2.1%
6
 
2.1%
6
 
2.1%
Other values (93) 196
68.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 285
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
19
 
6.7%
14
 
4.9%
10
 
3.5%
8
 
2.8%
7
 
2.5%
7
 
2.5%
6
 
2.1%
6
 
2.1%
6
 
2.1%
6
 
2.1%
Other values (93) 196
68.8%
Distinct68
Distinct (%)71.6%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-13T02:23:07.830188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.0315789
Min length5

Characters and Unicode

Total characters478
Distinct characters80
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)52.6%

Sample

1st row경기 의정부
2nd row경기 이천
3rd row경기 고양
4th row강원 영월
5th row충북 보은
ValueCountFrequency (%)
강원 16
 
8.4%
경기 15
 
7.9%
충북 12
 
6.3%
전남 9
 
4.7%
경북 8
 
4.2%
서울 7
 
3.7%
전북 6
 
3.2%
충남 6
 
3.2%
울산 6
 
3.2%
경남 5
 
2.6%
Other values (70) 100
52.6%
2023-12-13T02:23:08.358378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
19.9%
31
 
6.5%
26
 
5.4%
22
 
4.6%
22
 
4.6%
22
 
4.6%
20
 
4.2%
19
 
4.0%
18
 
3.8%
17
 
3.6%
Other values (70) 186
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
80.1%
Space Separator 95
 
19.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
31
 
8.1%
26
 
6.8%
22
 
5.7%
22
 
5.7%
22
 
5.7%
20
 
5.2%
19
 
5.0%
18
 
4.7%
17
 
4.4%
15
 
3.9%
Other values (69) 171
44.6%
Space Separator
ValueCountFrequency (%)
95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
80.1%
Common 95
 
19.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
31
 
8.1%
26
 
6.8%
22
 
5.7%
22
 
5.7%
22
 
5.7%
20
 
5.2%
19
 
5.0%
18
 
4.7%
17
 
4.4%
15
 
3.9%
Other values (69) 171
44.6%
Common
ValueCountFrequency (%)
95
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
80.1%
ASCII 95
 
19.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
100.0%
Hangul
ValueCountFrequency (%)
31
 
8.1%
26
 
6.8%
22
 
5.7%
22
 
5.7%
22
 
5.7%
20
 
5.2%
19
 
5.0%
18
 
4.7%
17
 
4.4%
15
 
3.9%
Other values (69) 171
44.6%

지정차수
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size892.0 B
2022년 제2차
16 
2020년 제2차
15 
2021년 제3차
13 
2021년 제1차
12 
2020년 제3차
11 
Other values (5)
28 

Length

Max length13
Median length9
Mean length9.0421053
Min length9

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row2020년 제1차
2nd row2020년 제1차
3rd row2020년 제1차
4th row2020년 제1차
5th row2020년 제1차

Common Values

ValueCountFrequency (%)
2022년 제2차 16
16.8%
2020년 제2차 15
15.8%
2021년 제3차 13
13.7%
2021년 제1차 12
12.6%
2020년 제3차 11
11.6%
2021년 제2차 10
10.5%
2020년 제1차 7
7.4%
2022년 제1차 5
 
5.3%
2022년 제3차 5
 
5.3%
2021년 제3차(추가) 1
 
1.1%

Length

2023-12-13T02:23:08.604582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:23:08.747185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제2차 41
21.6%
2021년 36
18.9%
2020년 33
17.4%
제3차 29
15.3%
2022년 26
13.7%
제1차 24
12.6%
제3차(추가 1
 
0.5%

사업유형
Categorical

Distinct5
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size892.0 B
산림복지
41 
목재목공
18 
산림사업
17 
임산물
14 
기타

Length

Max length4
Median length4
Mean length3.7473684
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row산림복지
2nd row목재목공
3rd row산림복지
4th row산림사업
5th row임산물

Common Values

ValueCountFrequency (%)
산림복지 41
43.2%
목재목공 18
18.9%
산림사업 17
17.9%
임산물 14
 
14.7%
기타 5
 
5.3%

Length

2023-12-13T02:23:08.905774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:23:09.024371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산림복지 41
43.2%
목재목공 18
18.9%
산림사업 17
17.9%
임산물 14
 
14.7%
기타 5
 
5.3%
Distinct7
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size892.0 B
일자리제공형
34 
지역사회공헌형(가)
25 
사회서비스제공형
23 
혼합형
기타(창의,혁신)형
 
3
Other values (2)

Length

Max length10
Median length8
Mean length7.6105263
Min length3

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row사회서비스제공형
2nd row사회서비스제공형
3rd row사회서비스제공형
4th row일자리제공형
5th row지역사회공헌형(가)

Common Values

ValueCountFrequency (%)
일자리제공형 34
35.8%
지역사회공헌형(가) 25
26.3%
사회서비스제공형 23
24.2%
혼합형 6
 
6.3%
기타(창의,혁신)형 3
 
3.2%
지역사회공헌형(나) 3
 
3.2%
지역사회공헌형 1
 
1.1%

Length

2023-12-13T02:23:09.158738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:23:09.304217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자리제공형 34
35.8%
지역사회공헌형(가 25
26.3%
사회서비스제공형 23
24.2%
혼합형 6
 
6.3%
기타(창의,혁신)형 3
 
3.2%
지역사회공헌형(나 3
 
3.2%
지역사회공헌형 1
 
1.1%

Interactions

2023-12-13T02:23:04.350821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:23:09.443901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지정연도지정번호지정시작일지정종료일기업명대표자소재지지정차수사업유형사회적목적실현유형
연번1.0000.9391.0000.9200.9661.0001.0000.5520.9710.5420.325
지정연도0.9391.0001.0001.0001.0001.0001.0000.5581.0000.2810.251
지정번호1.0001.0001.0001.0001.0001.0001.0000.9871.0000.9270.980
지정시작일0.9201.0001.0001.0000.9951.0001.0000.7871.0000.3290.276
지정종료일0.9661.0001.0000.9951.0001.0001.0000.7520.9980.4150.280
기업명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지0.5520.5580.9870.7870.7521.0001.0001.0000.8660.8560.302
지정차수0.9711.0001.0001.0000.9981.0001.0000.8661.0000.4080.253
사업유형0.5420.2810.9270.3290.4151.0001.0000.8560.4081.0000.364
사회적목적실현유형0.3250.2510.9800.2760.2801.0001.0000.3020.2530.3641.000
2023-12-13T02:23:09.667235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정시작일사업유형사회적목적실현유형지정연도지정종료일지정차수
지정시작일1.0000.1900.1440.9670.9810.994
사업유형0.1901.0000.2390.2170.1770.173
사회적목적실현유형0.1440.2391.0000.1680.1390.124
지정연도0.9670.2170.1681.0000.9610.961
지정종료일0.9810.1770.1390.9611.0000.924
지정차수0.9940.1730.1240.9610.9241.000
2023-12-13T02:23:09.867298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지정연도지정시작일지정종료일지정차수사업유형사회적목적실현유형
연번1.0000.8870.7410.6830.7050.2460.165
지정연도0.8871.0000.9670.9610.9610.2170.168
지정시작일0.7410.9671.0000.9810.9940.1900.144
지정종료일0.6830.9610.9811.0000.9240.1770.139
지정차수0.7050.9610.9940.9241.0000.1730.124
사업유형0.2460.2170.1900.1770.1731.0000.239
사회적목적실현유형0.1650.1680.1440.1390.1240.2391.000

Missing values

2023-12-13T02:23:04.442121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:23:04.573237image/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

연번지정연도지정번호지정시작일지정종료일기업명대표자소재지지정차수사업유형사회적목적실현유형
012020산림청 제2020-1호2020-05-202023-04-30주식회사 나누우리임리라경기 의정부2020년 제1차산림복지사회서비스제공형
122020산림청 제2020-2호2020-05-202023-04-30㈜이천평생교육원임종빈경기 이천2020년 제1차목재목공사회서비스제공형
232020산림청 제2020-3호2020-05-202023-04-30주식회사 감성숲오미정경기 고양2020년 제1차산림복지사회서비스제공형
342020산림청 제2020-5호2020-05-202023-05-19주식회사 산솔이기훈강원 영월2020년 제1차산림사업일자리제공형
452020산림청 제2020-7호2020-05-202023-04-30우진송죽 영농조합법인김필제충북 보은2020년 제1차임산물지역사회공헌형(가)
562020산림청 제2020-8호2020-05-202023-05-19농업회사법인 ㈜봄의정원문경조경남 합천2020년 제1차임산물지역사회공헌형(가)
672020산림청 제2020-9호2020-05-202023-05-19농업회사법인 나무와 주식회사최두환강원 원주2020년 제1차목재목공지역사회공헌형(가)
782020산림청 제2020-12호2020-08-202023-08-19사회적협동조합 다울숲변년균경기 양평2020년 제2차산림복지일자리제공형
892020산림청 제2020-14호2020-08-202023-08-19㈜ 어울숲차명진서울 강남2020년 제2차산림복지사회서비스제공형
9102020산림청 제2020-15호2020-08-202023-08-19평창태기산 사회적협동조합박지웅강원 평창2020년 제2차임산물지역사회공헌형(가)
연번지정연도지정번호지정시작일지정종료일기업명대표자소재지지정차수사업유형사회적목적실현유형
85862022산림청 제2022-17호2022-09-302025-09-29농업회사법인 주식회사가온숲곽혜경충북 청주2022년 제2차목재목공혼합형
86872022산림청 제2022-18호2022-09-302025-09-29합천마을지기목공소 사회적협동조합최종욱경남 합천2022년 제2차목재목공사회서비스제공형
87882022산림청 제2022-19호2022-09-302025-09-29자연애 농업회사법인 주식회사한도경전북 김제2022년 제2차산림복지일자리제공형
88892022산림청 제2022-20호2022-09-302025-09-29농업회사법인 낭구야놀자 주식회사이은주경기 여주2022년 제2차산림복지지역사회공헌형(가)
89902022산림청 제2022-21호2022-09-302025-09-29장산반딧불이 농업회사법인 주식회사손웅희부산 해운대2022년 제2차산림사업지역사회공헌형(가)
90912022산림청 제2022-22호2022-11-232025-11-22농업회사법인별산(주)양진선전남 화순2022년 제3차목재목공일자리제공형
91922022산림청 제2022-23호2022-11-232025-11-22농업회사법인 숲이랑사오랑㈜노진규충북 괴산2022년 제3차산림복지지역사회공헌형(가)
92932022산림청 제2022-24호2022-11-232025-11-22주식회사 베스트컴퍼니박종걸충남 논산2022년 제3차목재목공일자리제공형
93942022산림청 제2022-25호2022-11-232025-11-22(주)바이오에코우드박성우전남 나주2022년 제3차산림사업일자리제공형
94952022산림청 제2022-25호2022-11-232025-11-22숲온농업회사법인유진영전남 장성2022년 제3차산림복지지역사회공헌형(가)