Overview

Dataset statistics

Number of variables9
Number of observations670
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory48.5 KiB
Average record size in memory74.2 B

Variable types

Categorical6
Text1
Numeric2

Dataset

Description진천군 관내 산림보호구역 지정 내역(산림보호구역이란 산림에서 생활환경, 경관의 보호와 수원함양, 재해 방지 및 산림유전자원의 보전, 증진이 특별히 필요하여 지정, 고시한 구역을 말함)
Author충청북도 진천군
URLhttps://www.data.go.kr/data/15095796/fileData.do

Alerts

시도 has constant value ""Constant
시군 has constant value ""Constant
지목 has constant value ""Constant
목적 has constant value ""Constant
동리 is highly overall correlated with 읍면High correlation
읍면 is highly overall correlated with 동리High correlation
지적(제곱미터) is highly overall correlated with 면적(제곱미터)High correlation
면적(제곱미터) is highly overall correlated with 지적(제곱미터)High correlation

Reproduction

Analysis started2024-03-14 12:21:55.757870
Analysis finished2024-03-14 12:21:57.855166
Duration2.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
충북
670 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충북 670
100.0%

Length

2024-03-14T21:21:58.066782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:21:58.374991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충북 670
100.0%

시군
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
진천군
670 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
진천군 670
100.0%

Length

2024-03-14T21:21:58.696333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:21:58.905464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진천군 670
100.0%

읍면
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
초평면
238 
백곡면
191 
진천읍
165 
이월면
76 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
초평면 238
35.5%
백곡면 191
28.5%
진천읍 165
24.6%
이월면 76
 
11.3%

Length

2024-03-14T21:21:59.121563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:21:59.353789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초평면 238
35.5%
백곡면 191
28.5%
진천읍 165
24.6%
이월면 76
 
11.3%

동리
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
화산
180 
건송
165 
사송
84 
신계
76 
석현
71 
Other values (2)
94 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
화산 180
26.9%
건송 165
24.6%
사송 84
12.5%
신계 76
11.3%
석현 71
 
10.6%
용정 58
 
8.7%
명암 36
 
5.4%

Length

2024-03-14T21:21:59.556889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:21:59.761441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화산 180
26.9%
건송 165
24.6%
사송 84
12.5%
신계 76
11.3%
석현 71
 
10.6%
용정 58
 
8.7%
명암 36
 
5.4%

지번
Text

Distinct505
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-03-14T21:22:01.228213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.6955224
Min length2

Characters and Unicode

Total characters3146
Distinct characters13
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

Unique387 ?
Unique (%)57.8%

Sample

1st row산103-2
2nd row산1
3rd row산10-1
4th row산10-20
5th row산10-21
ValueCountFrequency (%)
산47 5
 
0.7%
산26-1 5
 
0.7%
산46 4
 
0.6%
산29-1 4
 
0.6%
산25-1 4
 
0.6%
산20-1 4
 
0.6%
산42 4
 
0.6%
산29-4 3
 
0.4%
산51-1 3
 
0.4%
산34-1 3
 
0.4%
Other values (496) 632
94.2%
2024-03-14T21:22:03.103729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 665
21.1%
- 525
16.7%
1 443
14.1%
2 330
10.5%
5 192
 
6.1%
3 181
 
5.8%
4 173
 
5.5%
7 152
 
4.8%
8 143
 
4.5%
6 142
 
4.5%
Other values (3) 200
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1955
62.1%
Other Letter 665
 
21.1%
Dash Punctuation 525
 
16.7%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 443
22.7%
2 330
16.9%
5 192
9.8%
3 181
9.3%
4 173
 
8.8%
7 152
 
7.8%
8 143
 
7.3%
6 142
 
7.3%
9 116
 
5.9%
0 83
 
4.2%
Other Letter
ValueCountFrequency (%)
산 665
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 525
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2481
78.9%
Hangul 665
 
21.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 525
21.2%
1 443
17.9%
2 330
13.3%
5 192
 
7.7%
3 181
 
7.3%
4 173
 
7.0%
7 152
 
6.1%
8 143
 
5.8%
6 142
 
5.7%
9 116
 
4.7%
Other values (2) 84
 
3.4%
Hangul
ValueCountFrequency (%)
산 665
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2481
78.9%
Hangul 665
 
21.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 665
100.0%
ASCII
ValueCountFrequency (%)
- 525
21.2%
1 443
17.9%
2 330
13.3%
5 192
 
7.7%
3 181
 
7.3%
4 173
 
7.0%
7 152
 
6.1%
8 143
 
5.8%
6 142
 
5.7%
9 116
 
4.7%
Other values (2) 84
 
3.4%

지목
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
임야
670 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
임야 670
100.0%

Length

2024-03-14T21:22:03.332456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:22:03.501133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
임야 670
100.0%

지적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct607
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28620.794
Minimum3
Maximum1517168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-03-14T21:22:03.780859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile150.9
Q11555.5
median10676
Q329414.25
95-th percentile86709.65
Maximum1517168
Range1517165
Interquartile range (IQR)27858.75

Descriptive statistics

Standard deviation91534.464
Coefficient of variation (CV)3.1981805
Kurtosis158.28581
Mean28620.794
Median Absolute Deviation (MAD)9956
Skewness11.613943
Sum19175932
Variance8.3785581 × 109
MonotonicityNot monotonic
2024-03-14T21:22:04.044060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1488 4
 
0.6%
992 4
 
0.6%
8727 3
 
0.4%
9521 3
 
0.4%
12 3
 
0.4%
7140 3
 
0.4%
3306 3
 
0.4%
21620 3
 
0.4%
397 3
 
0.4%
17455 2
 
0.3%
Other values (597) 639
95.4%
ValueCountFrequency (%)
3 1
 
0.1%
7 2
0.3%
11 1
 
0.1%
12 3
0.4%
22 1
 
0.1%
36 1
 
0.1%
43 1
 
0.1%
47 1
 
0.1%
50 1
 
0.1%
73 1
 
0.1%
ValueCountFrequency (%)
1517168 1
0.1%
1083071 1
0.1%
1067154 1
0.1%
683358 1
0.1%
317355 1
0.1%
242990 1
0.1%
227107 1
0.1%
191107 1
0.1%
177521 1
0.1%
176132 1
0.1%

면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct607
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27748.187
Minimum3
Maximum1517168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-03-14T21:22:04.308183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile145.6
Q11555.5
median10616.5
Q329305.5
95-th percentile84843.05
Maximum1517168
Range1517165
Interquartile range (IQR)27750

Descriptive statistics

Standard deviation88410.696
Coefficient of variation (CV)3.1861792
Kurtosis178.36294
Mean27748.187
Median Absolute Deviation (MAD)9911
Skewness12.341094
Sum18591285
Variance7.8164511 × 109
MonotonicityNot monotonic
2024-03-14T21:22:04.622374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1488 4
 
0.6%
992 4
 
0.6%
12 3
 
0.4%
21620 3
 
0.4%
8727 3
 
0.4%
1983 3
 
0.4%
7140 3
 
0.4%
397 3
 
0.4%
9521 3
 
0.4%
3306 3
 
0.4%
Other values (597) 638
95.2%
ValueCountFrequency (%)
3 1
 
0.1%
7 2
0.3%
11 1
 
0.1%
12 3
0.4%
22 1
 
0.1%
36 1
 
0.1%
43 1
 
0.1%
47 1
 
0.1%
50 1
 
0.1%
73 1
 
0.1%
ValueCountFrequency (%)
1517168 1
0.1%
1083071 1
0.1%
1067154 1
0.1%
317355 1
0.1%
275443 1
0.1%
242990 1
0.1%
227107 1
0.1%
191107 1
0.1%
177521 1
0.1%
176132 1
0.1%

목적
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
제1종 수원함양보호구역
670 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제1종 수원함양보호구역
2nd row제1종 수원함양보호구역
3rd row제1종 수원함양보호구역
4th row제1종 수원함양보호구역
5th row제1종 수원함양보호구역

Common Values

ValueCountFrequency (%)
제1종 수원함양보호구역 670
100.0%

Length

2024-03-14T21:22:05.013124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:22:05.171389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제1종 670
50.0%
수원함양보호구역 670
50.0%

Interactions

2024-03-14T21:21:56.588212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:21:56.031736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:21:56.867173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:21:56.309775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:22:05.482225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동리지적(제곱미터)면적(제곱미터)
읍면1.0001.0000.0750.061
동리1.0001.0000.0250.044
지적(제곱미터)0.0750.0251.0001.000
면적(제곱미터)0.0610.0441.0001.000
2024-03-14T21:22:05.658308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동리읍면
동리1.0000.998
읍면0.9981.000
2024-03-14T21:22:05.909424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지적(제곱미터)면적(제곱미터)읍면동리
지적(제곱미터)1.0000.9970.0480.014
면적(제곱미터)0.9971.0000.0490.027
읍면0.0480.0491.0000.998
동리0.0140.0270.9981.000

Missing values

2024-03-14T21:21:57.241353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:21:57.682528image/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

시도시군읍면동리지번지목지적(제곱미터)면적(제곱미터)목적
0충북진천군진천읍건송산103-2임야99009900제1종 수원함양보호구역
1충북진천군진천읍건송산1임야4324043240제1종 수원함양보호구역
2충북진천군진천읍건송산10-1임야1750517505제1종 수원함양보호구역
3충북진천군진천읍건송산10-20임야470470제1종 수원함양보호구역
4충북진천군진천읍건송산10-21임야48284828제1종 수원함양보호구역
5충북진천군진천읍건송산10-22임야908908제1종 수원함양보호구역
6충북진천군진천읍건송산10-24임야49404940제1종 수원함양보호구역
7충북진천군진천읍건송산103-1임야39713971제1종 수원함양보호구역
8충북진천군진천읍건송산103-19임야7474제1종 수원함양보호구역
9충북진천군진천읍건송산103-23임야16021602제1종 수원함양보호구역
시도시군읍면동리지번지목지적(제곱미터)면적(제곱미터)목적
660충북진천군초평면화산산52-53임야1320113201제1종 수원함양보호구역
661충북진천군초평면화산산53임야2966429664제1종 수원함양보호구역
662충북진천군초평면화산산75-8임야383383제1종 수원함양보호구역
663충북진천군초평면화산산52-52임야36193619제1종 수원함양보호구역
664충북진천군초평면화산산7-1임야10830711083071제1종 수원함양보호구역
665충북진천군초평면화산산84-15임야683683제1종 수원함양보호구역
666충북진천군초평면화산산57-1임야23182318제1종 수원함양보호구역
667충북진천군초평면화산산42임야2578525785제1종 수원함양보호구역
668충북진천군초평면화산산38-1임야1968319683제1종 수원함양보호구역
669충북진천군진천읍건송산48-2임야101386101386제1종 수원함양보호구역