Overview

Dataset statistics

Number of variables5
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory48.9 B

Variable types

Text1
Numeric4

Dataset

Description인천광역시 검단지구 택지개발사업 토지공급현황(사업현장,용지,공급대상토지면적 등)에 대한 데이터를 붙임 문서와 같이 제공합니다.
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15048914

Alerts

공급대상토지면적 (제곱미터) is highly overall correlated with 공급대상토지필지수 and 2 other fieldsHigh correlation
공급대상토지필지수 is highly overall correlated with 공급대상토지면적 (제곱미터) and 2 other fieldsHigh correlation
계약현황면적 (제곱미터) is highly overall correlated with 공급대상토지면적 (제곱미터) and 2 other fieldsHigh correlation
계약현황필지수 is highly overall correlated with 공급대상토지면적 (제곱미터) and 2 other fieldsHigh correlation
용지 has unique valuesUnique
공급대상토지면적 (제곱미터) has unique valuesUnique
계약현황면적 (제곱미터) has 9 (33.3%) zerosZeros
계약현황필지수 has 9 (33.3%) zerosZeros

Reproduction

Analysis started2024-01-28 11:21:13.444591
Analysis finished2024-01-28 11:21:14.843017
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

용지
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-01-28T20:21:14.966057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.1481481
Min length3

Characters and Unicode

Total characters166
Distinct characters61
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row단독주택용지
2nd row근린생활용지
3rd row공동주택용지
4th row주상복합용지
5th row상업시설용지
ValueCountFrequency (%)
단독주택용지 1
 
3.7%
위험물처리시설용지 1
 
3.7%
문화재용지 1
 
3.7%
문화복합용지 1
 
3.7%
군용지 1
 
3.7%
차고지 1
 
3.7%
통신시설용지 1
 
3.7%
물류유통시설용지 1
 
3.7%
도시지원시설용지 1
 
3.7%
양수장 1
 
3.7%
Other values (17) 17
63.0%
2024-01-28T20:21:15.222013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 27
16.3%
용 24
 
14.5%
설 13
 
7.8%
시 12
 
7.2%
주 5
 
3.0%
복 4
 
2.4%
교 4
 
2.4%
공 4
 
2.4%
택 3
 
1.8%
급 3
 
1.8%
Other values (51) 67
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 165
99.4%
Space Separator 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 27
16.4%
용 24
 
14.5%
설 13
 
7.9%
시 12
 
7.3%
주 5
 
3.0%
복 4
 
2.4%
교 4
 
2.4%
공 4
 
2.4%
택 3
 
1.8%
급 3
 
1.8%
Other values (50) 66
40.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 165
99.4%
Common 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 27
16.4%
용 24
 
14.5%
설 13
 
7.9%
시 12
 
7.3%
주 5
 
3.0%
복 4
 
2.4%
교 4
 
2.4%
공 4
 
2.4%
택 3
 
1.8%
급 3
 
1.8%
Other values (50) 66
40.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 165
99.4%
ASCII 1
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 27
16.4%
용 24
 
14.5%
설 13
 
7.9%
시 12
 
7.3%
주 5
 
3.0%
복 4
 
2.4%
교 4
 
2.4%
공 4
 
2.4%
택 3
 
1.8%
급 3
 
1.8%
Other values (50) 66
40.0%
ASCII
ValueCountFrequency (%)
1
100.0%

공급대상토지면적 (제곱미터)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean214728.7
Minimum94.7
Maximum3561043
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-01-28T20:21:15.325039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.7
5-th percentile1680.2
Q113682.5
median32056.3
Q3130234.35
95-th percentile472711.88
Maximum3561043
Range3560948.3
Interquartile range (IQR)116551.85

Descriptive statistics

Standard deviation680277.99
Coefficient of variation (CV)3.1680813
Kurtosis25.002145
Mean214728.7
Median Absolute Deviation (MAD)24251.2
Skewness4.9300595
Sum5797675
Variance4.6277815 × 1011
MonotonicityNot monotonic
2024-01-28T20:21:15.423025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
355755.6 1
 
3.7%
113422.7 1
 
3.7%
53227.0 1
 
3.7%
18383.0 1
 
3.7%
4899.4 1
 
3.7%
1298.0 1
 
3.7%
16784.0 1
 
3.7%
94.7 1
 
3.7%
195059.6 1
 
3.7%
522836.0 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
94.7 1
3.7%
1298.0 1
3.7%
2572.0 1
3.7%
4899.4 1
3.7%
7805.1 1
3.7%
11434.0 1
3.7%
12000.0 1
3.7%
15365.0 1
3.7%
16020.0 1
3.7%
16784.0 1
3.7%
ValueCountFrequency (%)
3561043.0 1
3.7%
522836.0 1
3.7%
355755.6 1
3.7%
241689.9 1
3.7%
216512.6 1
3.7%
195059.6 1
3.7%
147046.0 1
3.7%
113422.7 1
3.7%
83418.7 1
3.7%
53227.0 1
3.7%

공급대상토지필지수
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.185185
Minimum1
Maximum1230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-01-28T20:21:15.509470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5
Q329.5
95-th percentile143.2
Maximum1230
Range1229
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation235.56708
Coefficient of variation (CV)3.5062355
Kurtosis25.398638
Mean67.185185
Median Absolute Deviation (MAD)4
Skewness4.9831425
Sum1814
Variance55491.849
MonotonicityNot monotonic
2024-01-28T20:21:15.596776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 9
33.3%
5 2
 
7.4%
4 2
 
7.4%
1230 1
 
3.7%
18 1
 
3.7%
2 1
 
3.7%
3 1
 
3.7%
7 1
 
3.7%
44 1
 
3.7%
15 1
 
3.7%
Other values (7) 7
25.9%
ValueCountFrequency (%)
1 9
33.3%
2 1
 
3.7%
3 1
 
3.7%
4 2
 
7.4%
5 2
 
7.4%
7 1
 
3.7%
10 1
 
3.7%
15 1
 
3.7%
18 1
 
3.7%
21 1
 
3.7%
ValueCountFrequency (%)
1230 1
3.7%
145 1
3.7%
139 1
3.7%
67 1
3.7%
48 1
3.7%
44 1
3.7%
38 1
3.7%
21 1
3.7%
18 1
3.7%
15 1
3.7%

계약현황면적 (제곱미터)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129044.24
Minimum0
Maximum2891526.5
Zeros9
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-01-28T20:21:15.679548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3760
Q339885.8
95-th percentile125493.9
Maximum2891526.5
Range2891526.5
Interquartile range (IQR)39885.8

Descriptive statistics

Standard deviation553274.99
Coefficient of variation (CV)4.2874829
Kurtosis26.740889
Mean129044.24
Median Absolute Deviation (MAD)3760
Skewness5.1606477
Sum3484194.6
Variance3.0611321 × 1011
MonotonicityNot monotonic
2024-01-28T20:21:15.769499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 9
33.3%
87098.2 1
 
3.7%
12063.1 1
 
3.7%
946.0 1
 
3.7%
94.7 1
 
3.7%
37396.0 1
 
3.7%
69366.0 1
 
3.7%
3760.0 1
 
3.7%
75.0 1
 
3.7%
2635.0 1
 
3.7%
Other values (9) 9
33.3%
ValueCountFrequency (%)
0.0 9
33.3%
75.0 1
 
3.7%
94.7 1
 
3.7%
946.0 1
 
3.7%
2635.0 1
 
3.7%
3760.0 1
 
3.7%
8150.0 1
 
3.7%
12000.0 1
 
3.7%
12063.1 1
 
3.7%
12464.0 1
 
3.7%
ValueCountFrequency (%)
2891526.5 1
3.7%
141949.2 1
3.7%
87098.2 1
3.7%
86716.0 1
3.7%
69366.0 1
3.7%
59956.0 1
3.7%
42375.6 1
3.7%
37396.0 1
3.7%
15623.3 1
3.7%
12464.0 1
3.7%

계약현황필지수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.740741
Minimum0
Maximum330
Zeros9
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-01-28T20:21:16.078650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile76
Maximum330
Range330
Interquartile range (IQR)6

Descriptive statistics

Standard deviation65.025198
Coefficient of variation (CV)2.9909375
Kurtosis21.155239
Mean21.740741
Median Absolute Deviation (MAD)1
Skewness4.4474071
Sum587
Variance4228.2764
MonotonicityNot monotonic
2024-01-28T20:21:16.151654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 9
33.3%
1 5
18.5%
3 3
 
11.1%
6 3
 
11.1%
5 2
 
7.4%
330 1
 
3.7%
54 1
 
3.7%
55 1
 
3.7%
85 1
 
3.7%
21 1
 
3.7%
ValueCountFrequency (%)
0 9
33.3%
1 5
18.5%
3 3
 
11.1%
5 2
 
7.4%
6 3
 
11.1%
21 1
 
3.7%
54 1
 
3.7%
55 1
 
3.7%
85 1
 
3.7%
330 1
 
3.7%
ValueCountFrequency (%)
330 1
 
3.7%
85 1
 
3.7%
55 1
 
3.7%
54 1
 
3.7%
21 1
 
3.7%
6 3
 
11.1%
5 2
 
7.4%
3 3
 
11.1%
1 5
18.5%
0 9
33.3%

Interactions

2024-01-28T20:21:14.426756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:21:13.582449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:21:13.866112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:21:14.129091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:21:14.496231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:21:13.659705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:21:13.939356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:21:14.195917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:21:14.566820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:21:13.728178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:21:14.001267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:21:14.263330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:21:14.634318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:21:13.794542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:21:14.065253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:21:14.353216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T20:21:16.226655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
용지공급대상토지면적 (제곱미터)공급대상토지필지수계약현황면적 (제곱미터)계약현황필지수
용지1.0001.0001.0001.0001.000
공급대상토지면적 (제곱미터)1.0001.0000.0001.0000.394
공급대상토지필지수1.0000.0001.0000.0000.849
계약현황면적 (제곱미터)1.0001.0000.0001.0000.847
계약현황필지수1.0000.3940.8490.8471.000
2024-01-28T20:21:16.321656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공급대상토지면적 (제곱미터)공급대상토지필지수계약현황면적 (제곱미터)계약현황필지수
공급대상토지면적 (제곱미터)1.0000.7040.7100.597
공급대상토지필지수0.7041.0000.7930.872
계약현황면적 (제곱미터)0.7100.7931.0000.901
계약현황필지수0.5970.8720.9011.000

Missing values

2024-01-28T20:21:14.720137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:21:14.804951image/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

용지공급대상토지면적 (제곱미터)공급대상토지필지수계약현황면적 (제곱미터)계약현황필지수
0단독주택용지355755.6123087098.2330
1근린생활용지113422.714542375.654
2공동주택용지3561043.0672891526.555
3주상복합용지147046.0559956.03
4상업시설용지216512.6139141949.285
5업무시설용지241689.93886716.06
6유치원용지32056.31015623.35
7교육연구시설용지22289.0218150.021
8특수학교용지12000.0112000.01
9대학교용지32163.010.00
용지공급대상토지면적 (제곱미터)공급대상토지필지수계약현황면적 (제곱미터)계약현황필지수
17가스공급설비용지11434.01575.03
18양수장2572.013760.01
19도시지원시설용지522836.04469366.05
20물류유통시설용지195059.6737396.01
21통신시설용지94.7194.71
22차고지16784.010.00
23군용지1298.010.00
24문화복합용지4899.410.00
25문화재용지18383.03946.03
26연립주택53227.020.00