Overview

Dataset statistics

Number of variables4
Number of observations279
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.4 KiB
Average record size in memory34.5 B

Variable types

Numeric2
Text1
Categorical1

Dataset

Description성남시 내 공개공지 현황에 대한 위치 데이터로, 공개공지 대지위치(지번주소), 면적 항목 등으로 구성되어 있습니다.
URLhttps://www.data.go.kr/data/15042829/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:25:06.772705
Analysis finished2023-12-12 14:25:07.316290
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct279
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140
Minimum1
Maximum279
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-12T23:25:07.402648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.9
Q170.5
median140
Q3209.5
95-th percentile265.1
Maximum279
Range278
Interquartile range (IQR)139

Descriptive statistics

Standard deviation80.684571
Coefficient of variation (CV)0.57631836
Kurtosis-1.2
Mean140
Median Absolute Deviation (MAD)70
Skewness0
Sum39060
Variance6510
MonotonicityStrictly increasing
2023-12-12T23:25:07.544374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
185 1
 
0.4%
191 1
 
0.4%
190 1
 
0.4%
189 1
 
0.4%
188 1
 
0.4%
187 1
 
0.4%
186 1
 
0.4%
184 1
 
0.4%
193 1
 
0.4%
Other values (269) 269
96.4%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
279 1
0.4%
278 1
0.4%
277 1
0.4%
276 1
0.4%
275 1
0.4%
274 1
0.4%
273 1
0.4%
272 1
0.4%
271 1
0.4%
270 1
0.4%

대지위치(지번주소)
Text

Distinct263
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T23:25:08.290262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length19.749104
Min length17

Characters and Unicode

Total characters5510
Distinct characters56
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

Unique251 ?
Unique (%)90.0%

Sample

1st row경기도 성남시 수정구 신흥동 950
2nd row경기도 성남시 수정구 신흥동 3435
3rd row경기도 성남시 수정구 태평동 6523
4th row경기도 성남시 수정구 태평동 6812
5th row경기도 성남시 수정구 태평동 7336
ValueCountFrequency (%)
경기도 279
20.0%
성남시 279
20.0%
분당구 229
16.4%
삼평동 65
 
4.7%
수정구 33
 
2.4%
정자동 30
 
2.2%
서현동 28
 
2.0%
수내동 27
 
1.9%
야탑동 23
 
1.6%
창곡동 23
 
1.6%
Other values (274) 379
27.2%
2023-12-12T23:25:08.918186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1116
20.3%
구 301
 
5.5%
성 286
 
5.2%
남 286
 
5.2%
도 280
 
5.1%
시 280
 
5.1%
경 279
 
5.1%
동 279
 
5.1%
기 279
 
5.1%
분 230
 
4.2%
Other values (46) 1894
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3350
60.8%
Space Separator 1116
 
20.3%
Decimal Number 914
 
16.6%
Dash Punctuation 130
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 301
9.0%
성 286
8.5%
남 286
8.5%
도 280
8.4%
시 280
8.4%
경 279
8.3%
동 279
8.3%
기 279
8.3%
분 230
 
6.9%
당 230
 
6.9%
Other values (34) 620
18.5%
Decimal Number
ValueCountFrequency (%)
1 176
19.3%
6 142
15.5%
2 131
14.3%
5 114
12.5%
3 81
8.9%
4 70
 
7.7%
7 60
 
6.6%
9 55
 
6.0%
8 48
 
5.3%
0 37
 
4.0%
Space Separator
ValueCountFrequency (%)
1116
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3350
60.8%
Common 2160
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 301
9.0%
성 286
8.5%
남 286
8.5%
도 280
8.4%
시 280
8.4%
경 279
8.3%
동 279
8.3%
기 279
8.3%
분 230
 
6.9%
당 230
 
6.9%
Other values (34) 620
18.5%
Common
ValueCountFrequency (%)
1116
51.7%
1 176
 
8.1%
6 142
 
6.6%
2 131
 
6.1%
- 130
 
6.0%
5 114
 
5.3%
3 81
 
3.8%
4 70
 
3.2%
7 60
 
2.8%
9 55
 
2.5%
Other values (2) 85
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3350
60.8%
ASCII 2160
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1116
51.7%
1 176
 
8.1%
6 142
 
6.6%
2 131
 
6.1%
- 130
 
6.0%
5 114
 
5.3%
3 81
 
3.8%
4 70
 
3.2%
7 60
 
2.8%
9 55
 
2.5%
Other values (2) 85
 
3.9%
Hangul
ValueCountFrequency (%)
구 301
9.0%
성 286
8.5%
남 286
8.5%
도 280
8.4%
시 280
8.4%
경 279
8.3%
동 279
8.3%
기 279
8.3%
분 230
 
6.9%
당 230
 
6.9%
Other values (34) 620
18.5%

면적(제곱미터)
Real number (ℝ)

Distinct274
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean533.98892
Minimum0
Maximum4900.46
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-12T23:25:09.071274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48.241
Q1104.24
median234.44
Q3615.29
95-th percentile2045.007
Maximum4900.46
Range4900.46
Interquartile range (IQR)511.05

Descriptive statistics

Standard deviation747.5392
Coefficient of variation (CV)1.3999152
Kurtosis9.9774814
Mean533.98892
Median Absolute Deviation (MAD)158.9
Skewness2.8508694
Sum148982.91
Variance558814.86
MonotonicityNot monotonic
2023-12-12T23:25:09.254017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.33 2
 
0.7%
86.77 2
 
0.7%
122.4 2
 
0.7%
214.04 2
 
0.7%
198.46 2
 
0.7%
1618.57 1
 
0.4%
396.94 1
 
0.4%
965.73 1
 
0.4%
548.57 1
 
0.4%
740.46 1
 
0.4%
Other values (264) 264
94.6%
ValueCountFrequency (%)
0.0 1
0.4%
21.11 1
0.4%
31.66 1
0.4%
31.91 1
0.4%
35.12 1
0.4%
44.15 1
0.4%
45.15 1
0.4%
45.89 1
0.4%
46.0 1
0.4%
46.19 1
0.4%
ValueCountFrequency (%)
4900.46 1
0.4%
4738.08 1
0.4%
3562.81 1
0.4%
3490.61 1
0.4%
3410.92 1
0.4%
3140.81 1
0.4%
2773.57 1
0.4%
2701.4 1
0.4%
2651.32 1
0.4%
2449.37 1
0.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-05-31
279 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-31
2nd row2023-05-31
3rd row2023-05-31
4th row2023-05-31
5th row2023-05-31

Common Values

ValueCountFrequency (%)
2023-05-31 279
100.0%

Length

2023-12-12T23:25:09.446169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:25:09.571319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-31 279
100.0%

Interactions

2023-12-12T23:25:07.011939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:25:06.870146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:25:07.087778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:25:06.937260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:25:09.628992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(제곱미터)
연번1.0000.265
면적(제곱미터)0.2651.000
2023-12-12T23:25:09.731874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(제곱미터)
연번1.0000.233
면적(제곱미터)0.2331.000

Missing values

2023-12-12T23:25:07.186511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:25:07.274867image/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

연번대지위치(지번주소)면적(제곱미터)데이터기준일자
01경기도 성남시 수정구 신흥동 950207.532023-05-31
12경기도 성남시 수정구 신흥동 3435234.212023-05-31
23경기도 성남시 수정구 태평동 6523178.02023-05-31
34경기도 성남시 수정구 태평동 6812556.92023-05-31
45경기도 성남시 수정구 태평동 7336807.882023-05-31
56경기도 성남시 수정구 수진동 455879.712023-05-31
67경기도 성남시 수정구 단대동 183231.492023-05-31
78경기도 성남시 수정구 복정동 641-161093.942023-05-31
89경기도 성남시 수정구 창곡동 5051357.272023-05-31
910경기도 성남시 수정구 창곡동 508242.882023-05-31
연번대지위치(지번주소)면적(제곱미터)데이터기준일자
269270경기도 성남시 분당구 구미동 187-5392.22023-05-31
270271경기도 성남시 분당구 구미동 188278.42023-05-31
271272경기도 성남시 분당구 구미동 189-1248.022023-05-31
272273경기도 성남시 분당구 구미동 192510.382023-05-31
273274경기도 성남시 분당구 구미동 297-1897.052023-05-31
274275경기도 성남시 분당구 운중동 913764.112023-05-31
275276경기도 성남시 분당구 운중동 94247.262023-05-31
276277경기도 성남시 분당구 운중동 94370.482023-05-31
277278경기도 성남시 분당구 운중동 952135.02023-05-31
278279경기도 성남시 분당구 운중동 96045.152023-05-31