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://data.incheon.go.kr/findData/publicDataDetail?dataId=15048914&srcSe=7661IVAWM27C61E190

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 started2024-05-17 21:17:28.702917
Analysis finished2024-05-17 21:17:33.569896
Duration4.87 seconds
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
2024-05-18T06:17:33.830119image/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%
2024-05-18T06:17:34.717939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
16.3%
24
 
14.5%
13
 
7.8%
12
 
7.2%
5
 
3.0%
4
 
2.4%
4
 
2.4%
4
 
2.4%
3
 
1.8%
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 (%)
27
16.4%
24
 
14.5%
13
 
7.9%
12
 
7.3%
5
 
3.0%
4
 
2.4%
4
 
2.4%
4
 
2.4%
3
 
1.8%
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 (%)
27
16.4%
24
 
14.5%
13
 
7.9%
12
 
7.3%
5
 
3.0%
4
 
2.4%
4
 
2.4%
4
 
2.4%
3
 
1.8%
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 (%)
27
16.4%
24
 
14.5%
13
 
7.9%
12
 
7.3%
5
 
3.0%
4
 
2.4%
4
 
2.4%
4
 
2.4%
3
 
1.8%
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
2024-05-18T06:17:35.109806image/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
2024-05-18T06:17:35.718184image/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
2024-05-18T06:17:36.081332image/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
2024-05-18T06:17:36.372764image/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
2024-05-18T06:17:36.578227image/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
2024-05-18T06:17:36.967915image/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
2024-05-18T06:17:37.301093image/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
2024-05-18T06:17:37.586712image/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

2024-05-18T06:17:31.777617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:17:28.929721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:17:29.679373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:17:30.691578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:17:32.072776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:17:29.125014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:17:29.938657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:17:30.946888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:17:32.316361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:17:29.307581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:17:30.183981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:17:31.194987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:17:32.581508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:17:29.471176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:17:30.447364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T06:17:31.527145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/