Overview

Dataset statistics

Number of variables6
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory54.6 B

Variable types

Numeric2
Text1
Categorical3

Dataset

Description인천광역시 서구에 위치한 산사태취약지역 지정현황에 관한 데이터셋입니다. 인천광역시 서구에 위치한 산사태취약지역 지정현황의 소재지지번, 지목, 지정면적에 관한 정보를 포함하고 있습니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15090810/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
지정면적 is highly overall correlated with 지정일High correlation
지정일 is highly overall correlated with 지정면적High correlation
연번 has unique valuesUnique
소재지지번 has unique valuesUnique

Reproduction

Analysis started2024-04-17 16:00:34.474671
Analysis finished2024-04-17 16:00:35.007410
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-18T01:00:35.056664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly increasing
2024-04-18T01:00:35.166021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.4%
2 1
 
3.4%
29 1
 
3.4%
28 1
 
3.4%
27 1
 
3.4%
26 1
 
3.4%
25 1
 
3.4%
24 1
 
3.4%
23 1
 
3.4%
22 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

소재지지번
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-18T01:00:35.537950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length17.206897
Min length15

Characters and Unicode

Total characters499
Distinct characters40
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

Unique29 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 시천동 133
2nd row인천광역시 서구 시천동 산37-1
3rd row인천광역시 서구 검암동 산16
4th row인천광역시 서구 검암동 산50-6
5th row인천광역시 서구 공촌동 산155
ValueCountFrequency (%)
인천광역시 29
25.0%
서구 29
25.0%
당하동 6
 
5.2%
마전동 4
 
3.4%
대곡동 3
 
2.6%
심곡동 2
 
1.7%
금곡동 2
 
1.7%
공촌동 2
 
1.7%
산16 2
 
1.7%
검암동 2
 
1.7%
Other values (32) 35
30.2%
2024-04-18T01:00:35.801993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
17.4%
천 31
 
6.2%
시 31
 
6.2%
인 29
 
5.8%
광 29
 
5.8%
역 29
 
5.8%
서 29
 
5.8%
구 29
 
5.8%
동 29
 
5.8%
1 24
 
4.8%
Other values (30) 152
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 311
62.3%
Space Separator 87
 
17.4%
Decimal Number 86
 
17.2%
Dash Punctuation 15
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 31
10.0%
시 31
10.0%
인 29
9.3%
광 29
9.3%
역 29
9.3%
서 29
9.3%
구 29
9.3%
동 29
9.3%
산 21
6.8%
곡 7
 
2.3%
Other values (18) 47
15.1%
Decimal Number
ValueCountFrequency (%)
1 24
27.9%
5 14
16.3%
2 11
12.8%
6 10
11.6%
3 10
11.6%
8 6
 
7.0%
4 4
 
4.7%
7 4
 
4.7%
0 2
 
2.3%
9 1
 
1.2%
Space Separator
ValueCountFrequency (%)
87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 311
62.3%
Common 188
37.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 31
10.0%
시 31
10.0%
인 29
9.3%
광 29
9.3%
역 29
9.3%
서 29
9.3%
구 29
9.3%
동 29
9.3%
산 21
6.8%
곡 7
 
2.3%
Other values (18) 47
15.1%
Common
ValueCountFrequency (%)
87
46.3%
1 24
 
12.8%
- 15
 
8.0%
5 14
 
7.4%
2 11
 
5.9%
6 10
 
5.3%
3 10
 
5.3%
8 6
 
3.2%
4 4
 
2.1%
7 4
 
2.1%
Other values (2) 3
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 311
62.3%
ASCII 188
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
46.3%
1 24
 
12.8%
- 15
 
8.0%
5 14
 
7.4%
2 11
 
5.9%
6 10
 
5.3%
3 10
 
5.3%
8 6
 
3.2%
4 4
 
2.1%
7 4
 
2.1%
Other values (2) 3
 
1.6%
Hangul
ValueCountFrequency (%)
천 31
10.0%
시 31
10.0%
인 29
9.3%
광 29
9.3%
역 29
9.3%
서 29
9.3%
구 29
9.3%
동 29
9.3%
산 21
6.8%
곡 7
 
2.3%
Other values (18) 47
15.1%

지목
Categorical

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
임
22 
답
 
2
전
 
2
도
 
1
대
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)10.3%

Sample

1st row답
2nd row임
3rd row임
4th row임
5th row임

Common Values

ValueCountFrequency (%)
임 22
75.9%
답 2
 
6.9%
전 2
 
6.9%
도 1
 
3.4%
대 1
 
3.4%
장 1
 
3.4%

Length

2024-04-18T01:00:35.900636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:00:35.985074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
임 22
75.9%
답 2
 
6.9%
전 2
 
6.9%
도 1
 
3.4%
대 1
 
3.4%
장 1
 
3.4%

지정면적
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4387.2069
Minimum946
Maximum10600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-18T01:00:36.087767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum946
5-th percentile1000
Q12341
median4600
Q35600
95-th percentile8600
Maximum10600
Range9654
Interquartile range (IQR)3259

Descriptive statistics

Standard deviation2456.3853
Coefficient of variation (CV)0.55989729
Kurtosis0.15959802
Mean4387.2069
Median Absolute Deviation (MAD)1400
Skewness0.58734163
Sum127229
Variance6033828.5
MonotonicityNot monotonic
2024-04-18T01:00:36.170643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
4600 3
 
10.3%
1000 2
 
6.9%
8600 2
 
6.9%
5600 2
 
6.9%
3800 2
 
6.9%
3200 1
 
3.4%
1834 1
 
3.4%
1638 1
 
3.4%
2768 1
 
3.4%
4700 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
946 1
3.4%
1000 2
6.9%
1320 1
3.4%
1638 1
3.4%
1834 1
3.4%
2182 1
3.4%
2341 1
3.4%
2768 1
3.4%
3200 1
3.4%
3500 1
3.4%
ValueCountFrequency (%)
10600 1
3.4%
8600 2
6.9%
7500 1
3.4%
6500 1
3.4%
5800 1
3.4%
5600 2
6.9%
5500 1
3.4%
5400 1
3.4%
4900 1
3.4%
4800 1
3.4%

지정일
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
2014-07-30
20 
2015-06-30
7 
2013-10-04
 
2

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2014-07-30
2nd row2014-07-30
3rd row2015-06-30
4th row2015-06-30
5th row2014-07-30

Common Values

ValueCountFrequency (%)
2014-07-30 20
69.0%
2015-06-30 7
 
24.1%
2013-10-04 2
 
6.9%

Length

2024-04-18T01:00:36.255651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:00:36.327146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2014-07-30 20
69.0%
2015-06-30 7
 
24.1%
2013-10-04 2
 
6.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2022-09-01
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-01
2nd row2022-09-01
3rd row2022-09-01
4th row2022-09-01
5th row2022-09-01

Common Values

ValueCountFrequency (%)
2022-09-01 29
100.0%

Length

2024-04-18T01:00:36.408416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:00:36.480760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-01 29
100.0%

Interactions

2024-04-18T01:00:34.748548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:00:34.630068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:00:34.808537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:00:34.691177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T01:00:36.533080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지지번지목지정면적지정일
연번1.0001.0000.3230.0000.000
소재지지번1.0001.0001.0001.0001.000
지목0.3231.0001.0000.0000.000
지정면적0.0001.0000.0001.0000.915
지정일0.0001.0000.0000.9151.000
2024-04-18T01:00:36.605972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정일지목
지정일1.0000.000
지목0.0001.000
2024-04-18T01:00:36.671986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지정면적지목지정일
연번1.0000.1190.1120.000
지정면적0.1191.0000.0000.555
지목0.1120.0001.0000.000
지정일0.0000.5550.0001.000

Missing values

2024-04-18T01:00:34.883248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T01:00:34.976339image/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

연번소재지지번지목지정면적지정일데이터기준일자
01인천광역시 서구 시천동 133답32002014-07-302022-09-01
12인천광역시 서구 시천동 산37-1임75002014-07-302022-09-01
23인천광역시 서구 검암동 산16임21822015-06-302022-09-01
34인천광역시 서구 검암동 산50-6임9462015-06-302022-09-01
45인천광역시 서구 공촌동 산155임106002014-07-302022-09-01
56인천광역시 서구 공촌동 산158임10002013-10-042022-09-01
67인천광역시 서구 심곡동 산67임86002014-07-302022-09-01
78인천광역시 서구 심곡동 산52전13202015-06-302022-09-01
89인천광역시 서구 가정동 산7임58002014-07-302022-09-01
910인천광역시 서구 석남동 산2-1임54002014-07-302022-09-01
연번소재지지번지목지정면적지정일데이터기준일자
1920인천광역시 서구 당하동 765-2답55002014-07-302022-09-01
2021인천광역시 서구 당하동 산150임56002014-07-302022-09-01
2122인천광역시 서구 당하동 산135임46002014-07-302022-09-01
2223인천광역시 서구 대곡동 산24임48002014-07-302022-09-01
2324인천광역시 서구 대곡동 산31임47002014-07-302022-09-01
2425인천광역시 서구 대곡동 658-1전46002014-07-302022-09-01
2526인천광역시 서구 금곡동 산138-3임86002014-07-302022-09-01
2627인천광역시 서구 금곡동 산146임27682015-06-302022-09-01
2728인천광역시 서구 왕길동 226-3임56002014-07-302022-09-01
2829인천광역시 서구 왕길동 산12-2임16382015-06-302022-09-01