Overview

Dataset statistics

Number of variables4
Number of observations1073
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.8 KiB
Average record size in memory34.1 B

Variable types

Numeric2
Text1
Categorical1

Dataset

Description공유재산 및 물품관리법에 의한 대전광역시에서 관리하는 하천에 소재한 공유재산 현황 (국유지 제외)을 붙임과 같이 제공합니다.
URLhttps://www.data.go.kr/data/15083571/fileData.do

Alerts

순번 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:54:27.085530
Analysis finished2023-12-12 11:54:28.078553
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1073
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean537
Minimum1
Maximum1073
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2023-12-12T20:54:28.207243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile54.6
Q1269
median537
Q3805
95-th percentile1019.4
Maximum1073
Range1072
Interquartile range (IQR)536

Descriptive statistics

Standard deviation309.89272
Coefficient of variation (CV)0.57708142
Kurtosis-1.2
Mean537
Median Absolute Deviation (MAD)268
Skewness0
Sum576201
Variance96033.5
MonotonicityStrictly increasing
2023-12-12T20:54:28.369794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
722 1
 
0.1%
708 1
 
0.1%
709 1
 
0.1%
710 1
 
0.1%
711 1
 
0.1%
712 1
 
0.1%
713 1
 
0.1%
714 1
 
0.1%
715 1
 
0.1%
Other values (1063) 1063
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1073 1
0.1%
1072 1
0.1%
1071 1
0.1%
1070 1
0.1%
1069 1
0.1%
1068 1
0.1%
1067 1
0.1%
1066 1
0.1%
1065 1
0.1%
1064 1
0.1%

소재지
Text

UNIQUE 

Distinct1073
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2023-12-12T20:54:28.644701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length20.207829
Min length16

Characters and Unicode

Total characters21683
Distinct characters114
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

Unique1073 ?
Unique (%)100.0%

Sample

1st row대전광역시 동구 구도동 165-2
2nd row대전광역시 중구 대사동 99-21
3rd row대전광역시 중구 침산동 77-3
4th row대전광역시 중구 침산동 78-2
5th row대전광역시 중구 침산동 80-2
ValueCountFrequency (%)
대전광역시 1073
24.9%
동구 314
 
7.3%
대덕구 293
 
6.8%
유성구 263
 
6.1%
장동 204
 
4.7%
중구 168
 
3.9%
세천동 88
 
2.0%
정생동 67
 
1.6%
성남동 47
 
1.1%
대동 43
 
1.0%
Other values (1125) 1748
40.6%
2023-12-12T20:54:29.087600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5381
24.8%
대 1529
 
7.1%
동 1387
 
6.4%
구 1094
 
5.0%
전 1078
 
5.0%
광 1073
 
4.9%
역 1073
 
4.9%
시 1073
 
4.9%
- 968
 
4.5%
1 725
 
3.3%
Other values (104) 6302
29.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11012
50.8%
Space Separator 5381
24.8%
Decimal Number 4322
 
19.9%
Dash Punctuation 968
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 1529
13.9%
동 1387
12.6%
구 1094
9.9%
전 1078
9.8%
광 1073
9.7%
역 1073
9.7%
시 1073
9.7%
성 351
 
3.2%
덕 300
 
2.7%
유 263
 
2.4%
Other values (92) 1791
16.3%
Decimal Number
ValueCountFrequency (%)
1 725
16.8%
2 664
15.4%
3 532
12.3%
5 457
10.6%
4 419
9.7%
7 360
8.3%
6 331
7.7%
0 286
 
6.6%
8 278
 
6.4%
9 270
 
6.2%
Space Separator
ValueCountFrequency (%)
5381
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 968
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11012
50.8%
Common 10671
49.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 1529
13.9%
동 1387
12.6%
구 1094
9.9%
전 1078
9.8%
광 1073
9.7%
역 1073
9.7%
시 1073
9.7%
성 351
 
3.2%
덕 300
 
2.7%
유 263
 
2.4%
Other values (92) 1791
16.3%
Common
ValueCountFrequency (%)
5381
50.4%
- 968
 
9.1%
1 725
 
6.8%
2 664
 
6.2%
3 532
 
5.0%
5 457
 
4.3%
4 419
 
3.9%
7 360
 
3.4%
6 331
 
3.1%
0 286
 
2.7%
Other values (2) 548
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11012
50.8%
ASCII 10671
49.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5381
50.4%
- 968
 
9.1%
1 725
 
6.8%
2 664
 
6.2%
3 532
 
5.0%
5 457
 
4.3%
4 419
 
3.9%
7 360
 
3.4%
6 331
 
3.1%
0 286
 
2.7%
Other values (2) 548
 
5.1%
Hangul
ValueCountFrequency (%)
대 1529
13.9%
동 1387
12.6%
구 1094
9.9%
전 1078
9.8%
광 1073
9.7%
역 1073
9.7%
시 1073
9.7%
성 351
 
3.2%
덕 300
 
2.7%
유 263
 
2.4%
Other values (92) 1791
16.3%

공부지목
Categorical

Distinct15
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
하천
439 
답
236 
구거
115 
제방
75 
전
52 
Other values (10)
156 

Length

Max length4
Median length2
Mean length1.7064306
Min length1

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row제방
2nd row하천
3rd row답
4th row답
5th row답

Common Values

ValueCountFrequency (%)
하천 439
40.9%
답 236
22.0%
구거 115
 
10.7%
제방 75
 
7.0%
전 52
 
4.8%
도로 47
 
4.4%
대 46
 
4.3%
임야 39
 
3.6%
유지 10
 
0.9%
잡종지 6
 
0.6%
Other values (5) 8
 
0.7%

Length

2023-12-12T20:54:29.593551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
하천 439
40.9%
답 236
22.0%
구거 115
 
10.7%
제방 75
 
7.0%
전 52
 
4.8%
도로 47
 
4.4%
대 46
 
4.3%
임야 39
 
3.6%
유지 10
 
0.9%
잡종지 6
 
0.6%
Other values (5) 8
 
0.7%

공부면적
Real number (ℝ)

Distinct637
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1307.9784
Minimum1
Maximum72472.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2023-12-12T20:54:29.748646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q135
median126
Q3478
95-th percentile4970.72
Maximum72472.9
Range72471.9
Interquartile range (IQR)443

Descriptive statistics

Standard deviation5474.6471
Coefficient of variation (CV)4.1855792
Kurtosis77.369881
Mean1307.9784
Median Absolute Deviation (MAD)111
Skewness8.0842287
Sum1403460.8
Variance29971761
MonotonicityNot monotonic
2023-12-12T20:54:29.894708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.0 18
 
1.7%
1.0 17
 
1.6%
12.0 12
 
1.1%
17.0 12
 
1.1%
23.0 11
 
1.0%
10.0 10
 
0.9%
4.0 10
 
0.9%
33.0 9
 
0.8%
2.0 9
 
0.8%
7.0 9
 
0.8%
Other values (627) 956
89.1%
ValueCountFrequency (%)
1.0 17
1.6%
1.5 2
 
0.2%
2.0 9
0.8%
2.7 1
 
0.1%
3.0 18
1.7%
3.8 1
 
0.1%
4.0 10
0.9%
5.0 8
0.7%
5.8 1
 
0.1%
6.0 6
 
0.6%
ValueCountFrequency (%)
72472.9 1
0.1%
62172.6 1
0.1%
61614.6 1
0.1%
56291.4 1
0.1%
45459.8 1
0.1%
41323.3 1
0.1%
40112.0 1
0.1%
37987.0 1
0.1%
34700.5 1
0.1%
33029.8 1
0.1%

Interactions

2023-12-12T20:54:27.593378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:27.344779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:27.734870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:27.466566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:54:30.006304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번공부지목공부면적
순번1.0000.6560.276
공부지목0.6561.0000.000
공부면적0.2760.0001.000
2023-12-12T20:54:30.121044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번공부면적공부지목
순번1.0000.0570.309
공부면적0.0571.0000.000
공부지목0.3090.0001.000

Missing values

2023-12-12T20:54:27.933015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:54:28.028842image/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

순번소재지공부지목공부면적
01대전광역시 동구 구도동 165-2제방123.0
12대전광역시 중구 대사동 99-21하천19.0
23대전광역시 중구 침산동 77-3답127.0
34대전광역시 중구 침산동 78-2답188.0
45대전광역시 중구 침산동 80-2답64.0
56대전광역시 중구 침산동 82-1답112.0
67대전광역시 중구 침산동 82-2답96.0
78대전광역시 중구 침산동 90-3답15.0
89대전광역시 중구 침산동 92하천89.0
910대전광역시 중구 정생동 226-6하천23.0
순번소재지공부지목공부면적
10631064대전광역시 대덕구 용호동 171-4하천427.0
10641065대전광역시 대덕구 용호동 198-1하천345.0
10651066대전광역시 대덕구 용호동 199-1하천24.0
10661067대전광역시 대덕구 용호동 200-3하천168.0
10671068대전광역시 대덕구 용호동 200-4하천132.0
10681069대전광역시 대덕구 신탄진동 산 2-46도로3319.0
10691070대전광역시 대덕구 신탄진동 산 2-56임야64.0
10701071대전광역시 대덕구 신탄진동 119-14대18.7
10711072대전광역시 대덕구 신탄진동 149-6도로1115.0
10721073대전광역시 대덕구 신탄진동 149-7도로1.0