Overview

Dataset statistics

Number of variables9
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory79.0 B

Variable types

Numeric1
Categorical3
Text5

Dataset

Description산림교육센터현황(22개소, 2022.8.기준)- 전국 22개소 산림교육센터 현황 기재- 센터 주소 및 전화번호 기재- 관리주체 및 예약방법 기재
Author산림청
URLhttps://www.data.go.kr/data/15081418/fileData.do

Alerts

연번 is highly overall correlated with 지역High correlation
지역 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
참여방법 is highly overall correlated with 지역High correlation
참여방법 is highly imbalanced (66.5%)Imbalance
연번 has unique valuesUnique
시설명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:58:15.162521
Analysis finished2023-12-12 08:58:16.083652
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T17:58:16.207525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2023-12-12T17:58:16.400343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

지역
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size308.0 B
경상도
6 
경기도
3 
강원도
3 
충청도
3 
전라도
3 
Other values (3)
4 

Length

Max length3
Median length3
Mean length2.8181818
Min length2

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st row경기도
2nd row경기도
3rd row경기도
4th row강원도
5th row강원도

Common Values

ValueCountFrequency (%)
경상도 6
27.3%
경기도 3
13.6%
강원도 3
13.6%
충청도 3
13.6%
전라도 3
13.6%
대전 2
 
9.1%
세종 1
 
4.5%
부산 1
 
4.5%

Length

2023-12-12T17:58:16.688313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:58:16.902053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상도 6
27.3%
경기도 3
13.6%
강원도 3
13.6%
충청도 3
13.6%
전라도 3
13.6%
대전 2
 
9.1%
세종 1
 
4.5%
부산 1
 
4.5%

시설명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T17:58:17.256167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.7727273
Min length3

Characters and Unicode

Total characters171
Distinct characters71
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

Unique22 ?
Unique (%)100.0%

Sample

1st row용인 산림교육센터
2nd row시흥에코센터
3rd row양평 산림교육센터
4th row국립횡성숲체원
5th row국립춘천숲체원
ValueCountFrequency (%)
산림교육센터 5
 
17.9%
용인 1
 
3.6%
국립백두대간수목원 1
 
3.6%
한국임업진흥원 1
 
3.6%
국립청도산림교육센터 1
 
3.6%
국립산림치유원 1
 
3.6%
국립칠곡숲체원 1
 
3.6%
부산 1
 
3.6%
고산 1
 
3.6%
국립나주숲체원 1
 
3.6%
Other values (14) 14
50.0%
2023-12-12T17:58:17.869444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 14
 
8.2%
국 11
 
6.4%
원 11
 
6.4%
립 10
 
5.8%
림 9
 
5.3%
센 8
 
4.7%
터 8
 
4.7%
교 7
 
4.1%
육 7
 
4.1%
6
 
3.5%
Other values (61) 80
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 163
95.3%
Space Separator 6
 
3.5%
Open Punctuation 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 14
 
8.6%
국 11
 
6.7%
원 11
 
6.7%
립 10
 
6.1%
림 9
 
5.5%
센 8
 
4.9%
터 8
 
4.9%
교 7
 
4.3%
육 7
 
4.3%
숲 6
 
3.7%
Other values (58) 72
44.2%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 163
95.3%
Common 8
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 14
 
8.6%
국 11
 
6.7%
원 11
 
6.7%
립 10
 
6.1%
림 9
 
5.5%
센 8
 
4.9%
터 8
 
4.9%
교 7
 
4.3%
육 7
 
4.3%
숲 6
 
3.7%
Other values (58) 72
44.2%
Common
ValueCountFrequency (%)
6
75.0%
( 1
 
12.5%
) 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 163
95.3%
ASCII 8
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 14
 
8.6%
국 11
 
6.7%
원 11
 
6.7%
립 10
 
6.1%
림 9
 
5.5%
센 8
 
4.9%
터 8
 
4.9%
교 7
 
4.3%
육 7
 
4.3%
숲 6
 
3.7%
Other values (58) 72
44.2%
ASCII
ValueCountFrequency (%)
6
75.0%
( 1
 
12.5%
) 1
 
12.5%

주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T17:58:18.329389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length18.772727
Min length13

Characters and Unicode

Total characters413
Distinct characters110
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

Unique22 ?
Unique (%)100.0%

Sample

1st row경기 용인시 처인구 모현읍 초부로 196-11
2nd row경기 시흥시 경기과기대로 284
3rd row경기 양평군 양평읍 쉬자파크길 193
4th row강원 횡성군 둔내면 청태산로 777
5th row강원도 춘천시 장본2길 331
ValueCountFrequency (%)
경북 5
 
4.9%
경기 3
 
2.9%
충북 2
 
1.9%
영주시 2
 
1.9%
강원 2
 
1.9%
대전 2
 
1.9%
전남 2
 
1.9%
방장로 1
 
1.0%
고산휴양림로 1
 
1.0%
99-7(구,윤산중학교 1
 
1.0%
Other values (82) 82
79.6%
2023-12-12T17:58:19.025621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
 
19.6%
1 21
 
5.1%
로 14
 
3.4%
면 11
 
2.7%
북 10
 
2.4%
3 10
 
2.4%
경 10
 
2.4%
시 10
 
2.4%
길 9
 
2.2%
군 9
 
2.2%
Other values (100) 228
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 247
59.8%
Space Separator 81
 
19.6%
Decimal Number 78
 
18.9%
Dash Punctuation 4
 
1.0%
Open Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 14
 
5.7%
면 11
 
4.5%
북 10
 
4.0%
경 10
 
4.0%
시 10
 
4.0%
길 9
 
3.6%
군 9
 
3.6%
산 8
 
3.2%
원 7
 
2.8%
주 6
 
2.4%
Other values (85) 153
61.9%
Decimal Number
ValueCountFrequency (%)
1 21
26.9%
3 10
12.8%
7 7
 
9.0%
2 7
 
9.0%
6 7
 
9.0%
4 6
 
7.7%
0 5
 
6.4%
5 5
 
6.4%
8 5
 
6.4%
9 5
 
6.4%
Space Separator
ValueCountFrequency (%)
81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 247
59.8%
Common 166
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 14
 
5.7%
면 11
 
4.5%
북 10
 
4.0%
경 10
 
4.0%
시 10
 
4.0%
길 9
 
3.6%
군 9
 
3.6%
산 8
 
3.2%
원 7
 
2.8%
주 6
 
2.4%
Other values (85) 153
61.9%
Common
ValueCountFrequency (%)
81
48.8%
1 21
 
12.7%
3 10
 
6.0%
7 7
 
4.2%
2 7
 
4.2%
6 7
 
4.2%
4 6
 
3.6%
0 5
 
3.0%
5 5
 
3.0%
8 5
 
3.0%
Other values (5) 12
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 247
59.8%
ASCII 166
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
48.8%
1 21
 
12.7%
3 10
 
6.0%
7 7
 
4.2%
2 7
 
4.2%
6 7
 
4.2%
4 6
 
3.6%
0 5
 
3.0%
5 5
 
3.0%
8 5
 
3.0%
Other values (5) 12
 
7.2%
Hangul
ValueCountFrequency (%)
로 14
 
5.7%
면 11
 
4.5%
북 10
 
4.0%
경 10
 
4.0%
시 10
 
4.0%
길 9
 
3.6%
군 9
 
3.6%
산 8
 
3.2%
원 7
 
2.8%
주 6
 
2.4%
Other values (85) 153
61.9%

전화번호
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T17:58:19.324081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.090909
Min length12

Characters and Unicode

Total characters266
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

Unique20 ?
Unique (%)90.9%

Sample

1st row031-324-3352
2nd row063-263-8680
3rd row031-770-2417
4th row033-340-6403
5th row033-912-9752
ValueCountFrequency (%)
063-263-8680 2
 
9.1%
031-324-3352 1
 
4.5%
044-251-0259 1
 
4.5%
054-679-1000 1
 
4.5%
070-5101-8772 1
 
4.5%
054-370-8516 1
 
4.5%
054-639-3592 1
 
4.5%
070-4490-6508 1
 
4.5%
051-888-3855 1
 
4.5%
061-338-8422 1
 
4.5%
Other values (11) 11
50.0%
2023-12-12T17:58:19.870134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 44
16.5%
0 43
16.2%
3 35
13.2%
2 25
9.4%
5 20
7.5%
8 18
6.8%
7 18
6.8%
4 17
 
6.4%
1 17
 
6.4%
6 16
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 222
83.5%
Dash Punctuation 44
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43
19.4%
3 35
15.8%
2 25
11.3%
5 20
9.0%
8 18
8.1%
7 18
8.1%
4 17
 
7.7%
1 17
 
7.7%
6 16
 
7.2%
9 13
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 266
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 44
16.5%
0 43
16.2%
3 35
13.2%
2 25
9.4%
5 20
7.5%
8 18
6.8%
7 18
6.8%
4 17
 
6.4%
1 17
 
6.4%
6 16
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 266
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 44
16.5%
0 43
16.2%
3 35
13.2%
2 25
9.4%
5 20
7.5%
8 18
6.8%
7 18
6.8%
4 17
 
6.4%
1 17
 
6.4%
6 16
 
6.0%

참여방법
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
전화, 홈페이지
20 
홈페이지(예약제)
 
1
전화(예약제)
 
1

Length

Max length9
Median length8
Mean length8
Min length7

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st row전화, 홈페이지
2nd row전화, 홈페이지
3rd row전화, 홈페이지
4th row전화, 홈페이지
5th row전화, 홈페이지

Common Values

ValueCountFrequency (%)
전화, 홈페이지 20
90.9%
홈페이지(예약제) 1
 
4.5%
전화(예약제) 1
 
4.5%

Length

2023-12-12T17:58:20.148365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:58:20.334864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전화 20
47.6%
홈페이지 20
47.6%
홈페이지(예약제 1
 
2.4%
전화(예약제 1
 
2.4%

관리주체
Text

Distinct13
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T17:58:20.559032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6.6818182
Min length2

Characters and Unicode

Total characters147
Distinct characters43
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

Unique10 ?
Unique (%)45.5%

Sample

1st row용인시청
2nd row시흥녹색환경지원센터
3rd row양평군청
4th row한국산림복지진흥원
5th row한국산림복지진흥원
ValueCountFrequency (%)
한국산림복지진흥원 8
36.4%
민간 2
 
9.1%
한국수목원관리원 2
 
9.1%
용인시청 1
 
4.5%
시흥녹색환경지원센터 1
 
4.5%
양평군청 1
 
4.5%
산림힐링재단 1
 
4.5%
대전시청 1
 
4.5%
산림환경연구소 1
 
4.5%
완주군청 1
 
4.5%
Other values (3) 3
 
13.6%
2023-12-12T17:58:21.046789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 14
 
9.5%
산 12
 
8.2%
한 11
 
7.5%
국 11
 
7.5%
림 10
 
6.8%
흥 10
 
6.8%
지 9
 
6.1%
진 9
 
6.1%
복 8
 
5.4%
청 6
 
4.1%
Other values (33) 47
32.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146
99.3%
Space Separator 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 14
 
9.6%
산 12
 
8.2%
한 11
 
7.5%
국 11
 
7.5%
림 10
 
6.8%
흥 10
 
6.8%
지 9
 
6.2%
진 9
 
6.2%
복 8
 
5.5%
청 6
 
4.1%
Other values (32) 46
31.5%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146
99.3%
Common 1
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 14
 
9.6%
산 12
 
8.2%
한 11
 
7.5%
국 11
 
7.5%
림 10
 
6.8%
흥 10
 
6.8%
지 9
 
6.2%
진 9
 
6.2%
복 8
 
5.5%
청 6
 
4.1%
Other values (32) 46
31.5%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 146
99.3%
ASCII 1
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 14
 
9.6%
산 12
 
8.2%
한 11
 
7.5%
국 11
 
7.5%
림 10
 
6.8%
흥 10
 
6.8%
지 9
 
6.2%
진 9
 
6.2%
복 8
 
5.5%
청 6
 
4.1%
Other values (32) 46
31.5%
ASCII
ValueCountFrequency (%)
1
100.0%

홈페이지
Text

Distinct14
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T17:58:21.292276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length15
Mean length17.363636
Min length15

Characters and Unicode

Total characters382
Distinct characters26
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)59.1%

Sample

1st rowwww.forest.yongin.go.kr
2nd rowwww.sh-ecocenter.or.kr
3rd rowwww.swijapark.com
4th rowwww.fowi.or.kr
5th rowwww.fowi.or.kr
ValueCountFrequency (%)
www.fowi.or.kr 9
40.9%
www.forest.yongin.go.kr 1
 
4.5%
www.sh-ecocenter.or.kr 1
 
4.5%
www.swijapark.com 1
 
4.5%
www.foresthealing.or.kr 1
 
4.5%
www.chollipo.org 1
 
4.5%
www.chungbuk.go.kr 1
 
4.5%
www.godowoncenter.com 1
 
4.5%
www.sjna.or.kr 1
 
4.5%
www.foresttrip.go.kr 1
 
4.5%
Other values (4) 4
18.2%
2023-12-12T17:58:21.689578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 77
20.2%
. 64
16.8%
o 43
11.3%
r 43
11.3%
k 22
 
5.8%
i 16
 
4.2%
f 14
 
3.7%
11
 
2.9%
e 11
 
2.9%
s 11
 
2.9%
Other values (16) 70
18.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 305
79.8%
Other Punctuation 65
 
17.0%
Space Separator 11
 
2.9%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 77
25.2%
o 43
14.1%
r 43
14.1%
k 22
 
7.2%
i 16
 
5.2%
f 14
 
4.6%
e 11
 
3.6%
s 11
 
3.6%
n 10
 
3.3%
g 9
 
3.0%
Other values (12) 49
16.1%
Other Punctuation
ValueCountFrequency (%)
. 64
98.5%
/ 1
 
1.5%
Space Separator
ValueCountFrequency (%)
11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 305
79.8%
Common 77
 
20.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 77
25.2%
o 43
14.1%
r 43
14.1%
k 22
 
7.2%
i 16
 
5.2%
f 14
 
4.6%
e 11
 
3.6%
s 11
 
3.6%
n 10
 
3.3%
g 9
 
3.0%
Other values (12) 49
16.1%
Common
ValueCountFrequency (%)
. 64
83.1%
11
 
14.3%
- 1
 
1.3%
/ 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 382
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 77
20.2%
. 64
16.8%
o 43
11.3%
r 43
11.3%
k 22
 
5.8%
i 16
 
4.2%
f 14
 
3.7%
11
 
2.9%
e 11
 
2.9%
s 11
 
2.9%
Other values (16) 70
18.3%

국공사 구분
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
국립
11 
공립
8 
사립
3 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공립
2nd row공립
3rd row공립
4th row국립
5th row국립

Common Values

ValueCountFrequency (%)
국립 11
50.0%
공립 8
36.4%
사립 3
 
13.6%

Length

2023-12-12T17:58:21.864129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:58:22.045212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국립 11
50.0%
공립 8
36.4%
사립 3
 
13.6%

Interactions

2023-12-12T17:58:15.658985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:58:22.138203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지역시설명주소전화번호참여방법관리주체홈페이지국공사 구분
연번1.0000.8901.0001.0000.9320.0000.0000.0000.512
지역0.8901.0001.0001.0000.9120.7090.7910.7870.630
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호0.9320.9121.0001.0001.0001.0000.6630.8061.000
참여방법0.0000.7091.0001.0001.0001.0000.7951.0000.000
관리주체0.0000.7911.0001.0000.6630.7951.0000.9821.000
홈페이지0.0000.7871.0001.0000.8061.0000.9821.0000.934
국공사 구분0.5120.6301.0001.0001.0000.0001.0000.9341.000
2023-12-12T17:58:22.270954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역국공사 구분참여방법
지역1.0000.4160.503
국공사 구분0.4161.0000.000
참여방법0.5030.0001.000
2023-12-12T17:58:22.360960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지역참여방법국공사 구분
연번1.0000.6410.0000.249
지역0.6411.0000.5030.416
참여방법0.0000.5031.0000.000
국공사 구분0.2490.4160.0001.000

Missing values

2023-12-12T17:58:15.805314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:58:16.000279image/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

연번지역시설명주소전화번호참여방법관리주체홈페이지국공사 구분
01경기도용인 산림교육센터경기 용인시 처인구 모현읍 초부로 196-11031-324-3352전화, 홈페이지용인시청www.forest.yongin.go.kr공립
12경기도시흥에코센터경기 시흥시 경기과기대로 284063-263-8680전화, 홈페이지시흥녹색환경지원센터www.sh-ecocenter.or.kr공립
23경기도양평 산림교육센터경기 양평군 양평읍 쉬자파크길 193031-770-2417전화, 홈페이지양평군청www.swijapark.com공립
34강원도국립횡성숲체원강원 횡성군 둔내면 청태산로 777033-340-6403전화, 홈페이지한국산림복지진흥원www.fowi.or.kr국립
45강원도국립춘천숲체원강원도 춘천시 장본2길 331033-912-9752전화, 홈페이지한국산림복지진흥원www.fowi.or.kr국립
56강원도산림힐링재단강원 영월군 상동읍 섬지곰길 113033-370-7720전화, 홈페이지산림힐링재단www.foresthealing.or.kr사립
67대전국립대전숲체원대전 유성구 성북로 154번길 748042-718-1533전화, 홈페이지한국산림복지진흥원www.fowi.or.kr국립
78대전만인산 푸른학습원대전 동구 산내로 106042-270-5582전화, 홈페이지대전시청www.fowi.or.kr공립
89충청도(재)천리포수목원충남 태안군 소원면 천리포1길 187041-672-9986전화, 홈페이지민간www.chollipo.org사립
910충청도미동산 산림교육센터충북 청주시 상당구 미원면 수목원길51043-220-3692전화, 홈페이지산림환경연구소www.chungbuk.go.kr공립
연번지역시설명주소전화번호참여방법관리주체홈페이지국공사 구분
1213전라도국립장성산림교육센터전남 장성군 북이면 방장로 353061-399-1813전화, 홈페이지한국산림복지진흥원www.fowi.or.kr국립
1314전라도국립나주숲체원전남 나주시 금성산길 116061-338-8422전화, 홈페이지한국산림복지진흥원www.fowi.or.kr국립
1415전라도고산 산림교육센터전북 완주군 고산면 고산휴양림로 246063-263-8680전화, 홈페이지완주군청www.foresttrip.go.kr공립
1516부산부산 산림교육센터부산 금정구 서금로 99-7(구,윤산중학교)051-888-3855전화, 홈페이지부산시청www.busan.go.kr/forestedu공립
1617경상도국립칠곡숲체원경북 칠곡군 석적읍 유학로 532070-4490-6508전화, 홈페이지한국산림복지진흥원www.fowi.or.kr국립
1718경상도국립산림치유원경북 영주시 봉현면 테라피로 209054-639-3592전화, 홈페이지한국산림복지진흥원www.fowi.or.kr국립
1819경상도국립청도산림교육센터경북 청도군 운문면 운문로 763054-370-8516전화, 홈페이지한국산림복지진흥원www.fowi.or.kr국립
1920경상도한국임업진흥원경북 영주시 부석면 소백로 3840-1070-5101-8772전화(예약제)한국임업진흥원www.kofpi.or.kr국립
2021경상도국립백두대간수목원경북 봉화군 춘양면 춘양로 1501054-679-1000전화, 홈페이지한국수목원관리원www.bdna.or.kr국립
2122경상도숲애서경남 양산시 탑골길 248055-379-8520전화, 홈페이지양산시청www.yssisul.or.kr공립