Overview

Dataset statistics

Number of variables10
Number of observations62
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)1.6%
Total size in memory5.2 KiB
Average record size in memory85.1 B

Variable types

Categorical7
Text1
Numeric2

Dataset

Description전라남도 곡성군 읍면리의 지적, 지목, 식재면적, 조림수종, 조림년도에 대한 정보 데이터를 제공합니다. 업데이트주기 : 연간
URLhttps://www.data.go.kr/data/3078320/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 1 (1.6%) duplicate rowsDuplicates
지적(헥타르) is highly overall correlated with 식재면적(헥타르) and 1 other fieldsHigh correlation
식재면적(헥타르) is highly overall correlated with 지적(헥타르) and 1 other fieldsHigh correlation
읍면 is highly overall correlated with 리 and 1 other fieldsHigh correlation
리 is highly overall correlated with 지적(헥타르) and 3 other fieldsHigh correlation
조림년도 is highly overall correlated with 읍면 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 01:56:59.377286
Analysis finished2023-12-12 01:57:00.354210
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
전라남도
62 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도 62
100.0%

Length

2023-12-12T10:57:00.419837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:57:00.550019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 62
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
곡성군
62 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
곡성군 62
100.0%

Length

2023-12-12T10:57:00.681649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:57:00.784333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
곡성군 62
100.0%

읍면
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
고달
12 
죽곡
11 
오곡
8 
석곡
6 
목사동
5 
Other values (9)
20 

Length

Max length4
Median length2
Mean length2.1290323
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row겸
2nd row겸
3rd row오산
4th row오산
5th row옥과

Common Values

ValueCountFrequency (%)
고달 12
19.4%
죽곡 11
17.7%
오곡 8
12.9%
석곡 6
9.7%
목사동 5
8.1%
석곡면 4
 
6.5%
겸 3
 
4.8%
삼기 3
 
4.8%
오산 2
 
3.2%
옥과 2
 
3.2%
Other values (4) 6
9.7%

Length

2023-12-12T10:57:00.930336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고달 12
19.4%
죽곡 11
17.7%
오곡 8
12.9%
석곡 6
9.7%
목사동 5
8.1%
석곡면 4
 
6.5%
겸 3
 
4.8%
삼기 3
 
4.8%
오산 2
 
3.2%
옥과 2
 
3.2%
Other values (4) 6
9.7%

리
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Memory size628.0 B
구성
6 
고달
 
4
호곡리
 
4
방송리
 
4
염곡
 
3
Other values (25)
41 

Length

Max length3
Median length2
Mean length2.2580645
Min length2

Unique

Unique13 ?
Unique (%)21.0%

Sample

1st row가정
2nd row가정
3rd row운곡
4th row운곡
5th row죽림

Common Values

ValueCountFrequency (%)
구성 6
 
9.7%
고달 4
 
6.5%
호곡리 4
 
6.5%
방송리 4
 
6.5%
염곡 3
 
4.8%
신전리 3
 
4.8%
유봉 3
 
4.8%
원달 3
 
4.8%
방송 3
 
4.8%
가정 2
 
3.2%
Other values (20) 27
43.5%

Length

2023-12-12T10:57:01.063791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
구성 6
 
9.7%
호곡리 4
 
6.5%
방송리 4
 
6.5%
고달 4
 
6.5%
염곡 3
 
4.8%
신전리 3
 
4.8%
유봉 3
 
4.8%
원달 3
 
4.8%
방송 3
 
4.8%
운곡 2
 
3.2%
Other values (20) 27
43.5%

지목
Text

Distinct49
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T10:57:01.341055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.8548387
Min length2

Characters and Unicode

Total characters239
Distinct characters12
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

Unique39 ?
Unique (%)62.9%

Sample

1st row산52
2nd row산87
3rd row산47
4th row산143
5th row산48
ValueCountFrequency (%)
산178 4
 
6.5%
산39-1 3
 
4.8%
산182 2
 
3.2%
산7 2
 
3.2%
산78 2
 
3.2%
산8 2
 
3.2%
산131 2
 
3.2%
산138-3 2
 
3.2%
산52 2
 
3.2%
산782-1 2
 
3.2%
Other values (39) 39
62.9%
2023-12-12T10:57:01.837097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 62
25.9%
1 42
17.6%
8 23
 
9.6%
7 20
 
8.4%
- 18
 
7.5%
2 17
 
7.1%
3 16
 
6.7%
9 11
 
4.6%
4 10
 
4.2%
6 8
 
3.3%
Other values (2) 12
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 159
66.5%
Other Letter 62
 
25.9%
Dash Punctuation 18
 
7.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 42
26.4%
8 23
14.5%
7 20
12.6%
2 17
10.7%
3 16
 
10.1%
9 11
 
6.9%
4 10
 
6.3%
6 8
 
5.0%
5 7
 
4.4%
0 5
 
3.1%
Other Letter
ValueCountFrequency (%)
산 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 177
74.1%
Hangul 62
 
25.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1 42
23.7%
8 23
13.0%
7 20
11.3%
- 18
10.2%
2 17
9.6%
3 16
 
9.0%
9 11
 
6.2%
4 10
 
5.6%
6 8
 
4.5%
5 7
 
4.0%
Hangul
ValueCountFrequency (%)
산 62
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 177
74.1%
Hangul 62
 
25.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 62
100.0%
ASCII
ValueCountFrequency (%)
1 42
23.7%
8 23
13.0%
7 20
11.3%
- 18
10.2%
2 17
9.6%
3 16
 
9.0%
9 11
 
6.2%
4 10
 
5.6%
6 8
 
4.5%
5 7
 
4.0%

지적(헥타르)
Real number (ℝ)

HIGH CORRELATION 

Distinct47
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0887097
Minimum0.52
Maximum61.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T10:57:02.038546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.52
5-th percentile0.847
Q11.7675
median4.93
Q38.1125
95-th percentile30.0285
Maximum61.49
Range60.97
Interquartile range (IQR)6.345

Descriptive statistics

Standard deviation10.853492
Coefficient of variation (CV)1.3418076
Kurtosis10.447312
Mean8.0887097
Median Absolute Deviation (MAD)3.23
Skewness3.0032525
Sum501.5
Variance117.7983
MonotonicityNot monotonic
2023-12-12T10:57:02.209264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
3.0 5
 
8.1%
8.0 4
 
6.5%
1.0 3
 
4.8%
12.17 3
 
4.8%
1.69 2
 
3.2%
38.68 2
 
3.2%
6.19 2
 
3.2%
6.0 2
 
3.2%
1.67 1
 
1.6%
0.84 1
 
1.6%
Other values (37) 37
59.7%
ValueCountFrequency (%)
0.52 1
 
1.6%
0.61 1
 
1.6%
0.8 1
 
1.6%
0.84 1
 
1.6%
0.98 1
 
1.6%
1.0 3
4.8%
1.08 1
 
1.6%
1.33 1
 
1.6%
1.43 1
 
1.6%
1.49 1
 
1.6%
ValueCountFrequency (%)
61.49 1
 
1.6%
38.68 2
3.2%
30.03 1
 
1.6%
30.0 1
 
1.6%
22.0 1
 
1.6%
14.5 1
 
1.6%
13.0 1
 
1.6%
12.17 3
4.8%
11.23 1
 
1.6%
10.57 1
 
1.6%

식재면적(헥타르)
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)66.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4504839
Minimum0.42
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T10:57:02.390772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.42
5-th percentile0.802
Q11.37
median3
Q35.85
95-th percentile10.4465
Maximum30
Range29.58
Interquartile range (IQR)4.48

Descriptive statistics

Standard deviation4.9803477
Coefficient of variation (CV)1.1190576
Kurtosis12.543084
Mean4.4504839
Median Absolute Deviation (MAD)2
Skewness3.1086744
Sum275.93
Variance24.803864
MonotonicityNot monotonic
2023-12-12T10:57:02.609540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1.0 7
 
11.3%
3.0 5
 
8.1%
6.0 3
 
4.8%
2.0 3
 
4.8%
7.0 2
 
3.2%
1.5 2
 
3.2%
8.0 2
 
3.2%
4.3 2
 
3.2%
5.0 2
 
3.2%
4.5 2
 
3.2%
Other values (31) 32
51.6%
ValueCountFrequency (%)
0.42 1
 
1.6%
0.44 1
 
1.6%
0.68 1
 
1.6%
0.8 1
 
1.6%
0.84 1
 
1.6%
0.96 1
 
1.6%
1.0 7
11.3%
1.3 1
 
1.6%
1.31 1
 
1.6%
1.36 1
 
1.6%
ValueCountFrequency (%)
30.0 1
1.6%
22.0 1
1.6%
13.0 1
1.6%
10.47 1
1.6%
10.0 1
1.6%
9.9 1
1.6%
9.5 1
1.6%
8.5 1
1.6%
8.0 2
3.2%
7.0 2
3.2%

조림수종
Categorical

Distinct5
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size628.0 B
편백
47 
백합
8 
상수리
 
3
고로쇠
 
2
소나무
 
2

Length

Max length3
Median length2
Mean length2.1129032
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
편백 47
75.8%
백합 8
 
12.9%
상수리 3
 
4.8%
고로쇠 2
 
3.2%
소나무 2
 
3.2%

Length

2023-12-12T10:57:02.796600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:57:02.929599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
편백 47
75.8%
백합 8
 
12.9%
상수리 3
 
4.8%
고로쇠 2
 
3.2%
소나무 2
 
3.2%

조림년도
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
2017
46 
2022
16 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2017 46
74.2%
2022 16
 
25.8%

Length

2023-12-12T10:57:03.081990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:57:03.212018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 46
74.2%
2022 16
 
25.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-08-26
62 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-26
2nd row2023-08-26
3rd row2023-08-26
4th row2023-08-26
5th row2023-08-26

Common Values

ValueCountFrequency (%)
2023-08-26 62
100.0%

Length

2023-12-12T10:57:03.356590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:57:03.500151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-26 62
100.0%

Interactions

2023-12-12T10:56:59.940140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:59.750917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:57:00.029230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:59.839610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:57:03.601504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면리지목지적(헥타르)식재면적(헥타르)조림수종조림년도
읍면1.0000.9940.9880.7820.7420.3960.852
리0.9941.0000.9920.9300.9150.6941.000
지목0.9880.9921.0000.9500.4460.6511.000
지적(헥타르)0.7820.9300.9501.0000.9430.3300.000
식재면적(헥타르)0.7420.9150.4460.9431.0000.0000.363
조림수종0.3960.6940.6510.3300.0001.0000.000
조림년도0.8521.0001.0000.0000.3630.0001.000
2023-12-12T10:57:03.723202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조림수종리읍면조림년도
조림수종1.0000.2710.1920.000
리0.2711.0000.7670.730
읍면0.1920.7671.0000.625
조림년도0.0000.7300.6251.000
2023-12-12T10:57:03.833167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지적(헥타르)식재면적(헥타르)읍면리조림수종조림년도
지적(헥타르)1.0000.7590.3800.5530.2110.000
식재면적(헥타르)0.7591.0000.3420.5250.0000.370
읍면0.3800.3421.0000.7670.1920.625
리0.5530.5250.7671.0000.2710.730
조림수종0.2110.0000.1920.2711.0000.000
조림년도0.0000.3700.6250.7300.0001.000

Missing values

2023-12-12T10:57:00.152790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:57:00.296664image/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

시도명시군구명읍면리지목지적(헥타르)식재면적(헥타르)조림수종조림년도데이터기준일자
0전라남도곡성군겸가정산521.671.36편백20172023-08-26
1전라남도곡성군겸가정산871.330.8편백20172023-08-26
2전라남도곡성군오산운곡산471.691.5편백20172023-08-26
3전라남도곡성군오산운곡산1432.772.0편백20172023-08-26
4전라남도곡성군옥과죽림산482.482.0편백20172023-08-26
5전라남도곡성군옥과율사산404.914.1편백20172023-08-26
6전라남도곡성군고달고달산525.764.3편백20172023-08-26
7전라남도곡성군고달고달산539.548.5편백20172023-08-26
8전라남도곡성군고달고달산135-111.239.9편백20172023-08-26
9전라남도곡성군고달고달산1317.437.0편백20172023-08-26
시도명시군구명읍면리지목지적(헥타르)식재면적(헥타르)조림수종조림년도데이터기준일자
52전라남도곡성군곡성죽동리산6622.022.0편백20222023-08-26
53전라남도곡성군목사동신전리산788.08.0편백20222023-08-26
54전라남도곡성군목사동신전리산792.02.0편백20222023-08-26
55전라남도곡성군목사동면신전리산801.01.0편백20222023-08-26
56전라남도곡성군죽곡면신풍리산78.08.0편백20222023-08-26
57전라남도곡성군죽곡면신풍리산71.01.0편백20222023-08-26
58전라남도곡성군석곡면방송리산1786.06.0백합20222023-08-26
59전라남도곡성군석곡면방송리산1783.03.0백합20222023-08-26
60전라남도곡성군석곡면방송리산1783.03.0편백20222023-08-26
61전라남도곡성군석곡면방송리산1783.03.0백합20222023-08-26

Duplicate rows

Most frequently occurring

시도명시군구명읍면리지목지적(헥타르)식재면적(헥타르)조림수종조림년도데이터기준일자# duplicates
0전라남도곡성군석곡면방송리산1783.03.0백합20222023-08-262