Overview

Dataset statistics

Number of variables5
Number of observations280
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.4%
Total size in memory11.3 KiB
Average record size in memory41.5 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description전라남도 연도별 학교숲 조성 현황입니다.- 조성기간 : 2003년 ~ 2023년- 조성개소 : 초중고 등 280개 학교
Author전라남도
URLhttps://www.data.go.kr/data/3058956/fileData.do

Alerts

Dataset has 1 (0.4%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 15:40:02.174306
Analysis finished2023-12-12 15:40:02.924022
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct21
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.5107
Minimum2003
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-13T00:40:03.005019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2003
5-th percentile2005
Q12011
median2015
Q32019
95-th percentile2022
Maximum2023
Range20
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.4647675
Coefficient of variation (CV)0.0027127021
Kurtosis-0.87513223
Mean2014.5107
Median Absolute Deviation (MAD)4
Skewness-0.31110342
Sum564063
Variance29.863684
MonotonicityIncreasing
2023-12-13T00:40:03.176988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2016 22
 
7.9%
2012 20
 
7.1%
2013 20
 
7.1%
2022 19
 
6.8%
2017 18
 
6.4%
2019 17
 
6.1%
2018 17
 
6.1%
2015 17
 
6.1%
2009 16
 
5.7%
2020 15
 
5.4%
Other values (11) 99
35.4%
ValueCountFrequency (%)
2003 7
 
2.5%
2004 6
 
2.1%
2005 4
 
1.4%
2006 9
3.2%
2007 13
4.6%
2008 9
3.2%
2009 16
5.7%
2010 5
 
1.8%
2011 10
3.6%
2012 20
7.1%
ValueCountFrequency (%)
2023 12
4.3%
2022 19
6.8%
2021 15
5.4%
2020 15
5.4%
2019 17
6.1%
2018 17
6.1%
2017 18
6.4%
2016 22
7.9%
2015 17
6.1%
2014 9
3.2%

시군
Categorical

Distinct43
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
여수시
 
15
장성군
 
13
완도군
 
12
나주시
 
12
순천시
 
12
Other values (38)
216 

Length

Max length3
Median length3
Mean length2.7178571
Min length2

Unique

Unique4 ?
Unique (%)1.4%

Sample

1st row진도
2nd row곡성
3rd row광양
4th row순천
5th row담양

Common Values

ValueCountFrequency (%)
여수시 15
 
5.4%
장성군 13
 
4.6%
완도군 12
 
4.3%
나주시 12
 
4.3%
순천시 12
 
4.3%
해남군 12
 
4.3%
강진군 11
 
3.9%
담양군 11
 
3.9%
광양시 11
 
3.9%
보성군 10
 
3.6%
Other values (33) 161
57.5%

Length

2023-12-13T00:40:03.377286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
여수시 15
 
5.4%
장성군 13
 
4.6%
완도군 12
 
4.3%
순천시 12
 
4.3%
해남군 12
 
4.3%
나주시 12
 
4.3%
강진군 11
 
3.9%
담양군 11
 
3.9%
광양시 11
 
3.9%
보성군 10
 
3.6%
Other values (33) 161
57.5%

학교명
Text

Distinct268
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-13T00:40:03.755623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.3392857
Min length4

Characters and Unicode

Total characters1775
Distinct characters172
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

Unique256 ?
Unique (%)91.4%

Sample

1st row고성중학교
2nd row곡성실업고등학교
3rd row광양제철남초등학교
4th row남산초등학교
5th row담양중학교
ValueCountFrequency (%)
오산초등학교 2
 
0.7%
묘량중앙초등학교 2
 
0.7%
중앙초등학교 2
 
0.7%
남평초등학교 2
 
0.7%
동강초등학교 2
 
0.7%
완도여자중학교 2
 
0.7%
용방초등학교 2
 
0.7%
능주초등학교 2
 
0.7%
옥과중학교 2
 
0.7%
광양실업고등학교 2
 
0.7%
Other values (259) 261
92.9%
2023-12-13T00:40:04.299780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 276
15.5%
교 276
15.5%
등 190
 
10.7%
초 142
 
8.0%
중 94
 
5.3%
고 64
 
3.6%
산 30
 
1.7%
성 27
 
1.5%
남 26
 
1.5%
여 23
 
1.3%
Other values (162) 627
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1772
99.8%
Space Separator 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 276
15.6%
교 276
15.6%
등 190
 
10.7%
초 142
 
8.0%
중 94
 
5.3%
고 64
 
3.6%
산 30
 
1.7%
성 27
 
1.5%
남 26
 
1.5%
여 23
 
1.3%
Other values (159) 624
35.2%
Space Separator
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1772
99.8%
Common 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 276
15.6%
교 276
15.6%
등 190
 
10.7%
초 142
 
8.0%
중 94
 
5.3%
고 64
 
3.6%
산 30
 
1.7%
성 27
 
1.5%
남 26
 
1.5%
여 23
 
1.3%
Other values (159) 624
35.2%
Common
ValueCountFrequency (%)
1
33.3%
) 1
33.3%
( 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1772
99.8%
ASCII 3
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 276
15.6%
교 276
15.6%
등 190
 
10.7%
초 142
 
8.0%
중 94
 
5.3%
고 64
 
3.6%
산 30
 
1.7%
성 27
 
1.5%
남 26
 
1.5%
여 23
 
1.3%
Other values (159) 624
35.2%
ASCII
ValueCountFrequency (%)
1
33.3%
) 1
33.3%
( 1
33.3%

주소
Text

Distinct266
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-13T00:40:04.676415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length17.903571
Min length11

Characters and Unicode

Total characters5013
Distinct characters207
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

Unique253 ?
Unique (%)90.4%

Sample

1st row전남 진도군 고군면 고성리 144
2nd row전남 곡성군 곡성읍 교촌리 22
3rd row전남 광양시 금호동 624-1
4th row전남 순천시 풍덕동 1102-18
5th row전남 담양군 담양읍 천변리 190
ValueCountFrequency (%)
전남 270
 
20.1%
광양시 20
 
1.5%
순천시 19
 
1.4%
여수시 19
 
1.4%
담양군 18
 
1.3%
장성군 17
 
1.3%
곡성군 16
 
1.2%
나주시 16
 
1.2%
완도군 15
 
1.1%
해남군 15
 
1.1%
Other values (624) 919
68.4%
2023-12-13T00:40:05.201078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1064
21.2%
남 309
 
6.2%
전 282
 
5.6%
군 200
 
4.0%
1 175
 
3.5%
면 152
 
3.0%
로 123
 
2.5%
2 107
 
2.1%
3 99
 
2.0%
시 92
 
1.8%
Other values (197) 2410
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3037
60.6%
Space Separator 1064
 
21.2%
Decimal Number 842
 
16.8%
Dash Punctuation 61
 
1.2%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 309
 
10.2%
전 282
 
9.3%
군 200
 
6.6%
면 152
 
5.0%
로 123
 
4.1%
시 92
 
3.0%
길 79
 
2.6%
성 76
 
2.5%
읍 76
 
2.5%
리 63
 
2.1%
Other values (182) 1585
52.2%
Decimal Number
ValueCountFrequency (%)
1 175
20.8%
2 107
12.7%
3 99
11.8%
6 74
8.8%
7 72
8.6%
4 71
8.4%
0 63
 
7.5%
5 63
 
7.5%
8 62
 
7.4%
9 56
 
6.7%
Space Separator
ValueCountFrequency (%)
1064
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3037
60.6%
Common 1976
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 309
 
10.2%
전 282
 
9.3%
군 200
 
6.6%
면 152
 
5.0%
로 123
 
4.1%
시 92
 
3.0%
길 79
 
2.6%
성 76
 
2.5%
읍 76
 
2.5%
리 63
 
2.1%
Other values (182) 1585
52.2%
Common
ValueCountFrequency (%)
1064
53.8%
1 175
 
8.9%
2 107
 
5.4%
3 99
 
5.0%
6 74
 
3.7%
7 72
 
3.6%
4 71
 
3.6%
0 63
 
3.2%
5 63
 
3.2%
8 62
 
3.1%
Other values (5) 126
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3037
60.6%
ASCII 1976
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1064
53.8%
1 175
 
8.9%
2 107
 
5.4%
3 99
 
5.0%
6 74
 
3.7%
7 72
 
3.6%
4 71
 
3.6%
0 63
 
3.2%
5 63
 
3.2%
8 62
 
3.1%
Other values (5) 126
 
6.4%
Hangul
ValueCountFrequency (%)
남 309
 
10.2%
전 282
 
9.3%
군 200
 
6.6%
면 152
 
5.0%
로 123
 
4.1%
시 92
 
3.0%
길 79
 
2.6%
성 76
 
2.5%
읍 76
 
2.5%
리 63
 
2.1%
Other values (182) 1585
52.2%

학교급
Categorical

Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
초
142 
중
79 
고
57 
특수
 
1
기타학교
 
1

Length

Max length4
Median length1
Mean length1.0142857
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row중
2nd row고
3rd row초
4th row초
5th row중

Common Values

ValueCountFrequency (%)
초 142
50.7%
중 79
28.2%
고 57
20.4%
특수 1
 
0.4%
기타학교 1
 
0.4%

Length

2023-12-13T00:40:05.387753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:40:05.536223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초 142
50.7%
중 79
28.2%
고 57
20.4%
특수 1
 
0.4%
기타학교 1
 
0.4%

Interactions

2023-12-13T00:40:02.596546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:40:05.634239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도시군학교급
연도1.0000.6960.000
시군0.6961.0000.231
학교급0.0000.2311.000
2023-12-13T00:40:05.749055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교급시군
학교급1.0000.099
시군0.0991.000
2023-12-13T00:40:05.852824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도시군학교급
연도1.0000.2770.000
시군0.2771.0000.099
학교급0.0000.0991.000

Missing values

2023-12-13T00:40:02.766836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:40:02.872032image/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

연도시군학교명주소학교급
02003진도고성중학교전남 진도군 고군면 고성리 144중
12003곡성곡성실업고등학교전남 곡성군 곡성읍 교촌리 22고
22003광양광양제철남초등학교전남 광양시 금호동 624-1초
32003순천남산초등학교전남 순천시 풍덕동 1102-18초
42003담양담양중학교전남 담양군 담양읍 천변리 190중
52003순천이수초등학교전남 순천시 조례동 1283초
62003장성장성생활정보고등학교전남 장성군 장성음 기산리 386-2고
72004함평나산초등학교전남 함평군 나산면 삼축리 389-5초
82004화순능주초등학교전남 화순군 능주면 잠정리 333초
92004목포문태중학교전남 목포시 용당동 183중
연도시군학교명주소학교급
2702023광양시마동초등학교전남 광양시 진등6길 14초
2712023담양군창평중학교전남 담양군 창평면 창평로 565-17중
2722023구례군용방초등학교전남 구례군 용방면 용방로 464초
2732023고흥군영남초등학교전남 고흥군 영남면 팔영로 1075초
2742023보성군예당고등학교전남 보성군 득량면 예당길 155-12고
2752023화순군도곡중앙초등학교전남 화순군 도곡면 고인돌1로 115초
2762023무안군청계중학교전남 무안군 청계면 도림길 15-5중
2772023영광군군남초등학교전남 영광군 군남면 군불로 135초
2782023장성군문향고등학교전남 장성군 장성읍 문화로 94고
2792023완도군소안초등학교전남 완도군 소안면 소안로 213초

Duplicate rows

Most frequently occurring

연도시군학교명주소학교급# duplicates
02008광양광양실업고등학교전남 광양시 광양읍 신재로 210고2