Overview

Dataset statistics

Number of variables6
Number of observations91
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory53.5 B

Variable types

Categorical1
Text1
Numeric4

Alerts

공급대상토지면적(제곱미터) is highly overall correlated with 공급대상토지필지수 and 1 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 공급대상토지필지수 and 1 other fieldsHigh correlation
공급대상토지면적(제곱미터) has 1 (1.1%) zerosZeros
공급대상토지필지수 has 1 (1.1%) zerosZeros
계약현황면적(제곱미터) has 13 (14.3%) zerosZeros
계약현황필지수 has 15 (16.5%) zerosZeros

Reproduction

Analysis started2024-03-18 01:36:23.282083
Analysis finished2024-03-18 01:36:24.804434
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업현장
Categorical

Distinct11
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size860.0 B
검단신도시
26 
도화구역도시개발사업지구
13 
영종하늘도시
10 
미단시티조성사업(1단계)
9 
미단시티조성사업(2단계)
8 
Other values (6)
25 

Length

Max length19
Median length14
Mean length9.1098901
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
검단신도시 26
28.6%
도화구역도시개발사업지구 13
14.3%
영종하늘도시 10
 
11.0%
미단시티조성사업(1단계) 9
 
9.9%
미단시티조성사업(2단계) 8
 
8.8%
구월보금자리주택지구 7
 
7.7%
검단일반산업단지 6
 
6.6%
경서국민임대주택 6
 
6.6%
미단시티A토지(재매각기준가) 2
 
2.2%
미단시티A토지(2016년 매입대금) 2
 
2.2%

Length

2024-03-18T10:36:24.862374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
검단신도시 26
28.0%
도화구역도시개발사업지구 13
14.0%
영종하늘도시 10
 
10.8%
미단시티조성사업(1단계 9
 
9.7%
미단시티조성사업(2단계 8
 
8.6%
구월보금자리주택지구 7
 
7.5%
검단일반산업단지 6
 
6.5%
경서국민임대주택 6
 
6.5%
미단시티a토지(재매각기준가 2
 
2.2%
미단시티a토지(2016년 2
 
2.2%
Other values (2) 4
 
4.3%

용지
Text

Distinct52
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size860.0 B
2024-03-18T10:36:25.036693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length6
Mean length6.010989
Min length3

Characters and Unicode

Total characters547
Distinct characters83
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

Unique38 ?
Unique (%)41.8%

Sample

1st row단독주택용지
2nd row공동주택용지
3rd row주상복합용지
4th row일반상업용지
5th row근생시설용지
ValueCountFrequency (%)
공동주택용지 10
 
11.0%
단독주택용지 7
 
7.7%
근생시설용지 6
 
6.6%
상업업무용지 5
 
5.5%
주차장용지 4
 
4.4%
공공시설용지 4
 
4.4%
주상복합용지 3
 
3.3%
상업용지 2
 
2.2%
준주거용지 2
 
2.2%
업무시설용지 2
 
2.2%
Other values (42) 46
50.5%
2024-03-18T10:36:25.379580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 90
16.5%
용 84
15.4%
설 36
 
6.6%
시 35
 
6.4%
주 31
 
5.7%
공 30
 
5.5%
택 20
 
3.7%
업 19
 
3.5%
상 12
 
2.2%
동 11
 
2.0%
Other values (73) 179
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 543
99.3%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 90
16.6%
용 84
15.5%
설 36
 
6.6%
시 35
 
6.4%
주 31
 
5.7%
공 30
 
5.5%
택 20
 
3.7%
업 19
 
3.5%
상 12
 
2.2%
동 11
 
2.0%
Other values (71) 175
32.2%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 543
99.3%
Common 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 90
16.6%
용 84
15.5%
설 36
 
6.6%
시 35
 
6.4%
주 31
 
5.7%
공 30
 
5.5%
택 20
 
3.7%
업 19
 
3.5%
상 12
 
2.2%
동 11
 
2.0%
Other values (71) 175
32.2%
Common
ValueCountFrequency (%)
) 2
50.0%
( 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 543
99.3%
ASCII 4
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 90
16.6%
용 84
15.5%
설 36
 
6.6%
시 35
 
6.4%
주 31
 
5.7%
공 30
 
5.5%
택 20
 
3.7%
업 19
 
3.5%
상 12
 
2.2%
동 11
 
2.0%
Other values (71) 175
32.2%
ASCII
ValueCountFrequency (%)
) 2
50.0%
( 2
50.0%

공급대상토지면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct88
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean210633.86
Minimum0
Maximum3614269
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size951.0 B
2024-03-18T10:36:25.494787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1021.8
Q110183.35
median37075.9
Q3125281.15
95-th percentile990248.65
Maximum3614269
Range3614269
Interquartile range (IQR)115097.8

Descriptive statistics

Standard deviation574518.14
Coefficient of variation (CV)2.7275678
Kurtosis21.047742
Mean210633.86
Median Absolute Deviation (MAD)34835.9
Skewness4.4796791
Sum19167681
Variance3.300711 × 1011
MonotonicityNot monotonic
2024-03-18T10:36:25.607476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89510.2 3
 
3.3%
91555.2 2
 
2.2%
1181650.3 1
 
1.1%
3614269.0 1
 
1.1%
118425.7 1
 
1.1%
354943.6 1
 
1.1%
495.8 1
 
1.1%
3743.0 1
 
1.1%
37261.7 1
 
1.1%
0.0 1
 
1.1%
Other values (78) 78
85.7%
ValueCountFrequency (%)
0.0 1
1.1%
16.0 1
1.1%
94.7 1
1.1%
495.8 1
1.1%
792.6 1
1.1%
1251.0 1
1.1%
1298.0 1
1.1%
1959.5 1
1.1%
2190.0 1
1.1%
2240.0 1
1.1%
ValueCountFrequency (%)
3614269.0 1
1.1%
2854973.0 1
1.1%
2654604.2 1
1.1%
1338793.0 1
1.1%
1181650.3 1
1.1%
798847.0 1
1.1%
604912.2 1
1.1%
522708.0 1
1.1%
488104.3 1
1.1%
354943.6 1
1.1%

공급대상토지필지수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct41
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.769231
Minimum0
Maximum2033
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size951.0 B
2024-03-18T10:36:25.927485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median5
Q324
95-th percentile213
Maximum2033
Range2033
Interquartile range (IQR)22

Descriptive statistics

Standard deviation253.38272
Coefficient of variation (CV)3.9120847
Kurtosis45.474005
Mean64.769231
Median Absolute Deviation (MAD)4
Skewness6.4740992
Sum5894
Variance64202.802
MonotonicityNot monotonic
2024-03-18T10:36:26.038210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 19
20.9%
2 13
14.3%
4 8
 
8.8%
5 6
 
6.6%
7 3
 
3.3%
12 3
 
3.3%
8 2
 
2.2%
3 2
 
2.2%
10 2
 
2.2%
16 2
 
2.2%
Other values (31) 31
34.1%
ValueCountFrequency (%)
0 1
 
1.1%
1 19
20.9%
2 13
14.3%
3 2
 
2.2%
4 8
8.8%
5 6
 
6.6%
6 1
 
1.1%
7 3
 
3.3%
8 2
 
2.2%
9 1
 
1.1%
ValueCountFrequency (%)
2033 1
1.1%
1226 1
1.1%
440 1
1.1%
389 1
1.1%
230 1
1.1%
196 1
1.1%
153 1
1.1%
139 1
1.1%
86 1
1.1%
80 1
1.1%

계약현황면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct75
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143743.55
Minimum0
Maximum3301872.4
Zeros13
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size951.0 B
2024-03-18T10:36:26.142545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12437.5
median25061.3
Q389434.3
95-th percentile404704.65
Maximum3301872.4
Range3301872.4
Interquartile range (IQR)86996.8

Descriptive statistics

Standard deviation492548.89
Coefficient of variation (CV)3.4265808
Kurtosis32.381653
Mean143743.55
Median Absolute Deviation (MAD)25045.3
Skewness5.5915675
Sum13080663
Variance2.4260441 × 1011
MonotonicityNot monotonic
2024-03-18T10:36:26.266440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
14.3%
91555.2 3
 
3.3%
89510.2 3
 
3.3%
745122.7 1
 
1.1%
25269.7 1
 
1.1%
3743.0 1
 
1.1%
37261.7 1
 
1.1%
792.6 1
 
1.1%
6884.0 1
 
1.1%
31441.2 1
 
1.1%
Other values (65) 65
71.4%
ValueCountFrequency (%)
0.0 13
14.3%
16.0 1
 
1.1%
75.0 1
 
1.1%
94.7 1
 
1.1%
495.8 1
 
1.1%
792.6 1
 
1.1%
946.0 1
 
1.1%
1251.0 1
 
1.1%
1959.5 1
 
1.1%
2190.0 1
 
1.1%
ValueCountFrequency (%)
3301872.4 1
1.1%
3072473.0 1
1.1%
1416312.1 1
1.1%
745122.7 1
1.1%
510890.3 1
1.1%
298519.0 1
1.1%
295479.6 1
1.1%
238786.2 1
1.1%
231753.5 1
1.1%
166121.0 1
1.1%

계약현황필지수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct31
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.043956
Minimum0
Maximum1764
Zeros15
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size951.0 B
2024-03-18T10:36:26.393826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q313
95-th percentile223.5
Maximum1764
Range1764
Interquartile range (IQR)12

Descriptive statistics

Standard deviation199.02618
Coefficient of variation (CV)4.1425852
Kurtosis62.998605
Mean48.043956
Median Absolute Deviation (MAD)4
Skewness7.5125062
Sum4372
Variance39611.42
MonotonicityNot monotonic
2024-03-18T10:36:26.512510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 15
16.5%
1 14
15.4%
2 11
12.1%
5 6
 
6.6%
4 5
 
5.5%
3 5
 
5.5%
6 4
 
4.4%
11 4
 
4.4%
8 3
 
3.3%
58 2
 
2.2%
Other values (21) 22
24.2%
ValueCountFrequency (%)
0 15
16.5%
1 14
15.4%
2 11
12.1%
3 5
 
5.5%
4 5
 
5.5%
5 6
 
6.6%
6 4
 
4.4%
8 3
 
3.3%
9 1
 
1.1%
11 4
 
4.4%
ValueCountFrequency (%)
1764 1
1.1%
480 1
1.1%
384 1
1.1%
383 1
1.1%
230 1
1.1%
217 1
1.1%
91 1
1.1%
73 1
1.1%
64 1
1.1%
58 2
2.2%

Interactions

2024-03-18T10:36:24.372597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:36:23.478359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:36:23.768191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:36:24.062550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:36:24.453286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:36:23.551262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:36:23.843549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:36:24.136614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:36:24.525600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:36:23.624445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:36:23.916199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:36:24.209460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:36:24.599725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:36:23.695947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:36:23.990791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T10:36:24.284787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T10:36:26.594198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업현장용지공급대상토지면적(제곱미터)공급대상토지필지수계약현황면적(제곱미터)계약현황필지수
사업현장1.0000.0000.0750.0000.0000.000
용지0.0001.0000.0000.0000.4130.000
공급대상토지면적(제곱미터)0.0750.0001.0000.6370.8080.630
공급대상토지필지수0.0000.0000.6371.0000.9760.847
계약현황면적(제곱미터)0.0000.4130.8080.9761.0000.777
계약현황필지수0.0000.0000.6300.8470.7771.000
2024-03-18T10:36:26.680627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공급대상토지면적(제곱미터)공급대상토지필지수계약현황면적(제곱미터)계약현황필지수사업현장
공급대상토지면적(제곱미터)1.0000.6150.7350.4070.010
공급대상토지필지수0.6151.0000.5630.8100.000
계약현황면적(제곱미터)0.7350.5631.0000.6460.000
계약현황필지수0.4070.8100.6461.0000.000
사업현장0.0100.0000.0000.0001.000

Missing values

2024-03-18T10:36:24.692779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T10:36:24.770647image/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

사업현장용지공급대상토지면적(제곱미터)공급대상토지필지수계약현황면적(제곱미터)계약현황필지수
0영종하늘도시단독주택용지1181650.32033745122.71764
1영종하늘도시공동주택용지2654604.2613301872.473
2영종하늘도시주상복합용지136728.05295479.611
3영종하늘도시일반상업용지604912.2389510890.3384
4영종하늘도시근생시설용지113930.1196129945.7217
5영종하늘도시주유소용지13907.079590.25
6영종하늘도시주차장용지132136.650120889.544
7영종하늘도시공공시설용지798847.086238786.250
8영종하늘도시산업시설용지488104.341164035.65
9영종하늘도시유보지2854973.0420.00
사업현장용지공급대상토지면적(제곱미터)공급대상토지필지수계약현황면적(제곱미터)계약현황필지수
81검단신도시열공급설비용지28198.010.00
82검단신도시가스공급설비시설용지6340.0775.03
83검단신도시양수장2572.013760.01
84검단신도시도시지원시설용지522708.04469366.05
85검단신도시물류유통시설용지195059.6737505.01
86검단신도시통신시설94.7194.71
87검단신도시군용지1298.010.00
88검단신도시차고지16784.010.00
89검단신도시문화재용지18383.03946.03
90검단신도시문화복합용지5941.420.00