Overview

Dataset statistics

Number of variables4
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory36.9 B

Variable types

Numeric2
Categorical1
Text1

Dataset

Description전북특별자치도 도유림 조림 현황(시행년도(2001~2016), 위치(장수군, 완주군, 진안군, 순창군, 임실군 등), 사업량, 사업기간 등)
Author전북특별자치도
URLhttps://www.data.go.kr/data/15055686/fileData.do

Reproduction

Analysis started2024-03-14 17:43:38.298535
Analysis finished2024-03-14 17:43:40.011164
Duration1.71 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시행년도
Real number (ℝ)

Distinct16
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2008.2045
Minimum2001
Maximum2016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-03-15T02:43:40.099855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001
5-th percentile2001
Q12004
median2007.5
Q32012.25
95-th percentile2015
Maximum2016
Range15
Interquartile range (IQR)8.25

Descriptive statistics

Standard deviation4.805905
Coefficient of variation (CV)0.0023931352
Kurtosis-1.3931736
Mean2008.2045
Median Absolute Deviation (MAD)4.5
Skewness0.0064057185
Sum88361
Variance23.096723
MonotonicityIncreasing
2024-03-15T02:43:40.473639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2001 4
9.1%
2015 4
9.1%
2004 4
9.1%
2006 4
9.1%
2012 4
9.1%
2011 3
 
6.8%
2014 3
 
6.8%
2007 3
 
6.8%
2013 3
 
6.8%
2002 3
 
6.8%
Other values (6) 9
20.5%
ValueCountFrequency (%)
2001 4
9.1%
2002 3
6.8%
2003 2
4.5%
2004 4
9.1%
2005 2
4.5%
2006 4
9.1%
2007 3
6.8%
2008 1
 
2.3%
2009 2
4.5%
2010 1
 
2.3%
ValueCountFrequency (%)
2016 1
 
2.3%
2015 4
9.1%
2014 3
6.8%
2013 3
6.8%
2012 4
9.1%
2011 3
6.8%
2010 1
 
2.3%
2009 2
4.5%
2008 1
 
2.3%
2007 3
6.8%

위 치
Categorical

Distinct18
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Memory size480.0 B
진안군 백운면 신암리 산1
8 
완주군 동상면 대아리 산1-2
6 
진안군 백운면 신암리 산1-11
6 
장수군 장계면 명덕리 산154-1
4 
진안군 백운면 신암리 산1, 산1-11
2 
Other values (13)
18 

Length

Max length21
Median length18
Mean length17.022727
Min length14

Unique

Unique8 ?
Unique (%)18.2%

Sample

1st row장수군 장계면 명덕리 산154-1
2nd row장수군 장계면 명덕리 산154-1
3rd row완주군 소양면 신촌리 산18-1외 2필
4th row진안군 백운면 신암리 산1
5th row장수군 장계면 명덕리 산154-1

Common Values

ValueCountFrequency (%)
진안군 백운면 신암리 산1 8
18.2%
완주군 동상면 대아리 산1-2 6
13.6%
진안군 백운면 신암리 산1-11 6
13.6%
장수군 장계면 명덕리 산154-1 4
9.1%
진안군 백운면 신암리 산1, 산1-11 2
 
4.5%
완주군 소양면 신촌리 산18-1외 2필 2
 
4.5%
진안군 백운면 노촌리 산1 2
 
4.5%
완주군 운주면 고당리 산30 2
 
4.5%
장수군 장계면 명덕리 산154-93 2
 
4.5%
진안군 백운면 신암리 산1외 1필 2
 
4.5%
Other values (8) 8
18.2%

Length

2024-03-15T02:43:40.909962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
진안군 22
 
11.7%
백운면 22
 
11.7%
신암리 18
 
9.6%
산1 12
 
6.4%
완주군 11
 
5.9%
산1-11 8
 
4.3%
명덕리 7
 
3.7%
장수군 7
 
3.7%
장계면 7
 
3.7%
동상면 7
 
3.7%
Other values (32) 67
35.6%

사업량
Real number (ℝ)

Distinct20
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3931818
Minimum0.2
Maximum23.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-03-15T02:43:41.273543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.63
Q13
median7.6
Q312.05
95-th percentile20
Maximum23.8
Range23.6
Interquartile range (IQR)9.05

Descriptive statistics

Standard deviation6.3707324
Coefficient of variation (CV)0.75903663
Kurtosis-0.52039693
Mean8.3931818
Median Absolute Deviation (MAD)4.6
Skewness0.63892967
Sum369.3
Variance40.586232
MonotonicityNot monotonic
2024-03-15T02:43:41.632631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
10.0 10
22.7%
5.0 6
13.6%
3.0 4
 
9.1%
15.0 4
 
9.1%
20.0 3
 
6.8%
2.0 2
 
4.5%
1.0 2
 
4.5%
0.2 1
 
2.3%
23.8 1
 
2.3%
0.5 1
 
2.3%
Other values (10) 10
22.7%
ValueCountFrequency (%)
0.2 1
 
2.3%
0.5 1
 
2.3%
0.6 1
 
2.3%
0.8 1
 
2.3%
1.0 2
4.5%
2.0 2
4.5%
2.4 1
 
2.3%
3.0 4
9.1%
4.0 1
 
2.3%
4.6 1
 
2.3%
ValueCountFrequency (%)
23.8 1
 
2.3%
20.0 3
 
6.8%
19.2 1
 
2.3%
15.8 1
 
2.3%
15.0 4
 
9.1%
12.2 1
 
2.3%
12.0 1
 
2.3%
10.0 10
22.7%
5.2 1
 
2.3%
5.0 6
13.6%

사업기간
Text

Distinct40
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size480.0 B
2024-03-15T02:43:42.462156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters924
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)81.8%

Sample

1st row2016-10-22~2016-11-20
2nd row2016-02-26~2016-04-16
3rd row2016-02-28~2016-04-19
4th row2016-03-02~2016-04-17
5th row2016-03-15~2016-04-23
ValueCountFrequency (%)
2016-03-26~2016-04-24 2
 
4.5%
2016-03-30~2016-05-16 2
 
4.5%
2016-03-14~2016-06-11 2
 
4.5%
2016-03-15~2016-04-23 2
 
4.5%
2016-09-23~2016-10-22 1
 
2.3%
2016-03-12~2016-04-21 1
 
2.3%
2016-10-22~2016-11-20 1
 
2.3%
2016-03-08~2016-04-27 1
 
2.3%
2016-03-17~2016-04-08 1
 
2.3%
2016-10-05~2016-10-21 1
 
2.3%
Other values (30) 30
68.2%
2024-03-15T02:43:43.619003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 190
20.6%
- 176
19.0%
1 165
17.9%
2 135
14.6%
6 101
10.9%
~ 44
 
4.8%
3 38
 
4.1%
4 31
 
3.4%
5 17
 
1.8%
8 10
 
1.1%
Other values (2) 17
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 704
76.2%
Dash Punctuation 176
 
19.0%
Math Symbol 44
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 190
27.0%
1 165
23.4%
2 135
19.2%
6 101
14.3%
3 38
 
5.4%
4 31
 
4.4%
5 17
 
2.4%
8 10
 
1.4%
9 10
 
1.4%
7 7
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 176
100.0%
Math Symbol
ValueCountFrequency (%)
~ 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 924
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 190
20.6%
- 176
19.0%
1 165
17.9%
2 135
14.6%
6 101
10.9%
~ 44
 
4.8%
3 38
 
4.1%
4 31
 
3.4%
5 17
 
1.8%
8 10
 
1.1%
Other values (2) 17
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 924
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 190
20.6%
- 176
19.0%
1 165
17.9%
2 135
14.6%
6 101
10.9%
~ 44
 
4.8%
3 38
 
4.1%
4 31
 
3.4%
5 17
 
1.8%
8 10
 
1.1%
Other values (2) 17
 
1.8%

Interactions

2024-03-15T02:43:39.008779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:38.507082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:39.261067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:38.767744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T02:43:43.780128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시행년도위 치사업량사업기간
시행년도1.0000.8680.1790.940
위 치0.8681.0000.0000.918
사업량0.1790.0001.0000.000
사업기간0.9400.9180.0001.000
2024-03-15T02:43:43.937531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시행년도사업량위 치
시행년도1.000-0.1330.498
사업량-0.1331.0000.000
위 치0.4980.0001.000

Missing values

2024-03-15T02:43:39.574673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T02:43:39.942051image/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

시행년도위 치사업량사업기간
02001장수군 장계면 명덕리 산154-12.42016-10-22~2016-11-20
12001장수군 장계면 명덕리 산154-115.02016-02-26~2016-04-16
22001완주군 소양면 신촌리 산18-1외 2필10.02016-02-28~2016-04-19
32001진안군 백운면 신암리 산15.02016-03-02~2016-04-17
42002장수군 장계면 명덕리 산154-112.02016-03-15~2016-04-23
52002순창군 쌍치면 금성리 산434.62016-10-23~2016-11-22
62002완주군 소양면 신촌리 산18-1외 2필5.22016-04-16~2016-04-20
72003진안군 백운면 신암리 산1-1110.02016-03-17~2016-04-14
82003장수군 장계면 명덕리 산154-9312.22016-10-10~2016-11-08
92004완주군 운주면 고당리 산3010.02016-02-09~2016-04-10
시행년도위 치사업량사업기간
342013진안군 백운면 신암리 산10.52016-10-08~2016-11-06
352013진안군 백운면 신암리 산1-112.02016-03-29~2016-04-28
362014진안군 백운면 신암리 산123.82016-03-15~2016-04-23
372014진안군 백운면 신암리 산11.02016-03-14~2016-06-11
382014진안군 백운면 신암리 산10.22016-09-25~2016-10-18
392015진안군 백운면 신암리 산1외 1필10.02016-03-25~2016-04-23
402015장수군 장계면 명덕리 산 154-13.02016-03-26~2016-04-24
412015진안군 백운면 노촌리 산15.02016-03-26~2016-04-24
422015진안군 백운면 신암리 산1-115.02016-09-23~2016-10-22
432016진안군 백운면 신암리 산1외 1필20.02016-03-25~2016-05-08