Overview

Dataset statistics

Number of variables6
Number of observations117
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.8 KiB
Average record size in memory51.1 B

Variable types

Numeric2
Text1
Categorical3

Dataset

Description광주광역시 북구의 공유(구유)재산 현황으로 순번, 소재지, 지목, 면적, 재산관리관의 항목을 공공데이터 포털을 통해 제공합니다.
Author광주광역시 북구
URLhttps://www.data.go.kr/data/3083009/fileData.do

Alerts

재산관리관 has constant value ""Constant
데이터기준일자 has constant value ""Constant
면적 is highly overall correlated with 지목High correlation
지목 is highly overall correlated with 면적High correlation
순번 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:32:02.853960
Analysis finished2023-12-12 17:32:03.539443
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct117
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.794872
Minimum1
Maximum118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T02:32:03.662662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.8
Q131
median60
Q389
95-th percentile112.2
Maximum118
Range117
Interquartile range (IQR)58

Descriptive statistics

Standard deviation34.203886
Coefficient of variation (CV)0.5720204
Kurtosis-1.1920618
Mean59.794872
Median Absolute Deviation (MAD)29
Skewness-0.017313075
Sum6996
Variance1169.9058
MonotonicityStrictly increasing
2023-12-13T02:32:03.887941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
76 1
 
0.9%
88 1
 
0.9%
87 1
 
0.9%
86 1
 
0.9%
85 1
 
0.9%
84 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
Other values (107) 107
91.5%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
118 1
0.9%
117 1
0.9%
116 1
0.9%
115 1
0.9%
114 1
0.9%
113 1
0.9%
112 1
0.9%
111 1
0.9%
110 1
0.9%
109 1
0.9%

소재지
Text

UNIQUE 

Distinct117
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-13T02:32:04.237454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length19.051282
Min length15

Characters and Unicode

Total characters2229
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

Unique117 ?
Unique (%)100.0%

Sample

1st row광주광역시 북구 중흥동 98-4
2nd row광주광역시 북구 중흥동 193-2
3rd row광주광역시 북구 중흥동 193-8
4th row광주광역시 북구 유동 14-36
5th row광주광역시 북구 북동 17-2
ValueCountFrequency (%)
광주광역시 117
24.9%
북구 117
24.9%
용두동 15
 
3.2%
두암동 13
 
2.8%
신안동 12
 
2.6%
풍향동 11
 
2.3%
운암동 7
 
1.5%
매곡동 7
 
1.5%
망월동 6
 
1.3%
효령동 5
 
1.1%
Other values (137) 160
34.0%
2023-12-13T02:32:04.788553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
470
21.1%
광 234
 
10.5%
북 121
 
5.4%
동 118
 
5.3%
역 117
 
5.2%
시 117
 
5.2%
구 117
 
5.2%
주 117
 
5.2%
- 106
 
4.8%
1 99
 
4.4%
Other values (46) 613
27.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1165
52.3%
Decimal Number 488
21.9%
Space Separator 470
21.1%
Dash Punctuation 106
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 234
20.1%
북 121
10.4%
동 118
10.1%
역 117
10.0%
시 117
10.0%
구 117
10.0%
주 117
10.0%
두 28
 
2.4%
용 23
 
2.0%
암 22
 
1.9%
Other values (34) 151
13.0%
Decimal Number
ValueCountFrequency (%)
1 99
20.3%
2 55
11.3%
3 54
11.1%
4 50
10.2%
0 47
9.6%
7 40
8.2%
6 40
8.2%
5 38
 
7.8%
8 38
 
7.8%
9 27
 
5.5%
Space Separator
ValueCountFrequency (%)
470
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1165
52.3%
Common 1064
47.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 234
20.1%
북 121
10.4%
동 118
10.1%
역 117
10.0%
시 117
10.0%
구 117
10.0%
주 117
10.0%
두 28
 
2.4%
용 23
 
2.0%
암 22
 
1.9%
Other values (34) 151
13.0%
Common
ValueCountFrequency (%)
470
44.2%
- 106
 
10.0%
1 99
 
9.3%
2 55
 
5.2%
3 54
 
5.1%
4 50
 
4.7%
0 47
 
4.4%
7 40
 
3.8%
6 40
 
3.8%
5 38
 
3.6%
Other values (2) 65
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1165
52.3%
ASCII 1064
47.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
470
44.2%
- 106
 
10.0%
1 99
 
9.3%
2 55
 
5.2%
3 54
 
5.1%
4 50
 
4.7%
0 47
 
4.4%
7 40
 
3.8%
6 40
 
3.8%
5 38
 
3.6%
Other values (2) 65
 
6.1%
Hangul
ValueCountFrequency (%)
광 234
20.1%
북 121
10.4%
동 118
10.1%
역 117
10.0%
시 117
10.0%
구 117
10.0%
주 117
10.0%
두 28
 
2.4%
용 23
 
2.0%
암 22
 
1.9%
Other values (34) 151
13.0%

지목
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
대
51 
답
24 
전
21 
임야
9 
잡종지
 
4
Other values (4)
8 

Length

Max length4
Median length1
Mean length1.2478632
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
대 51
43.6%
답 24
20.5%
전 21
17.9%
임야 9
 
7.7%
잡종지 4
 
3.4%
도로 3
 
2.6%
철도용지 2
 
1.7%
구거 2
 
1.7%
묘지 1
 
0.9%

Length

2023-12-13T02:32:04.995975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:32:05.114349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 51
43.6%
답 24
20.5%
전 21
17.9%
임야 9
 
7.7%
잡종지 4
 
3.4%
도로 3
 
2.6%
철도용지 2
 
1.7%
구거 2
 
1.7%
묘지 1
 
0.9%

면적
Real number (ℝ)

HIGH CORRELATION 

Distinct83
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.94103
Minimum1
Maximum4099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T02:32:05.243528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.56
Q112
median40
Q3126
95-th percentile582.8
Maximum4099
Range4098
Interquartile range (IQR)114

Descriptive statistics

Standard deviation454.15239
Coefficient of variation (CV)2.8573642
Kurtosis50.414338
Mean158.94103
Median Absolute Deviation (MAD)33
Skewness6.4563993
Sum18596.1
Variance206254.39
MonotonicityNot monotonic
2023-12-13T02:32:05.367306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 6
 
5.1%
2.0 5
 
4.3%
13.0 4
 
3.4%
10.0 4
 
3.4%
16.0 4
 
3.4%
40.0 3
 
2.6%
11.0 3
 
2.6%
172.0 3
 
2.6%
49.0 2
 
1.7%
24.0 2
 
1.7%
Other values (73) 81
69.2%
ValueCountFrequency (%)
1.0 6
5.1%
1.7 1
 
0.9%
2.0 5
4.3%
2.3 1
 
0.9%
3.0 1
 
0.9%
4.0 1
 
0.9%
6.0 1
 
0.9%
7.0 2
 
1.7%
8.0 2
 
1.7%
9.0 1
 
0.9%
ValueCountFrequency (%)
4099.0 1
0.9%
1553.0 1
0.9%
1406.0 1
0.9%
1254.0 1
0.9%
1213.0 1
0.9%
1094.0 1
0.9%
455.0 1
0.9%
356.0 1
0.9%
314.0 1
0.9%
299.0 1
0.9%

재산관리관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
자치행정국 회계과
117 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자치행정국 회계과
2nd row자치행정국 회계과
3rd row자치행정국 회계과
4th row자치행정국 회계과
5th row자치행정국 회계과

Common Values

ValueCountFrequency (%)
자치행정국 회계과 117
100.0%

Length

2023-12-13T02:32:05.480626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:32:05.561149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자치행정국 117
50.0%
회계과 117
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-09-04
117 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-04
2nd row2023-09-04
3rd row2023-09-04
4th row2023-09-04
5th row2023-09-04

Common Values

ValueCountFrequency (%)
2023-09-04 117
100.0%

Length

2023-12-13T02:32:05.651462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:32:05.755843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-04 117
100.0%

Interactions

2023-12-13T02:32:03.168033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:32:02.994481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:32:03.251383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:32:03.079876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:32:05.822019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번지목면적
순번1.0000.5420.350
지목0.5421.0000.792
면적0.3500.7921.000
2023-12-13T02:32:05.943048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번면적지목
순번1.0000.2100.280
면적0.2101.0000.604
지목0.2800.6041.000

Missing values

2023-12-13T02:32:03.375530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:32:03.500233image/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

순번소재지지목면적재산관리관데이터기준일자
01광주광역시 북구 중흥동 98-4대13.0자치행정국 회계과2023-09-04
12광주광역시 북구 중흥동 193-2대23.0자치행정국 회계과2023-09-04
23광주광역시 북구 중흥동 193-8대1.0자치행정국 회계과2023-09-04
34광주광역시 북구 유동 14-36대7.0자치행정국 회계과2023-09-04
45광주광역시 북구 북동 17-2대115.7자치행정국 회계과2023-09-04
56광주광역시 북구 북동 72-3대10.0자치행정국 회계과2023-09-04
67광주광역시 북구 북동 94-26대1.7자치행정국 회계과2023-09-04
78광주광역시 북구 북동 113-1대12.4자치행정국 회계과2023-09-04
89광주광역시 북구 임동 153-7답1.0자치행정국 회계과2023-09-04
910광주광역시 북구 임동 536-4대36.0자치행정국 회계과2023-09-04
순번소재지지목면적재산관리관데이터기준일자
107109광주광역시 북구 효령동 860-10전53.0자치행정국 회계과2023-09-04
108110광주광역시 북구 효령동 860-58전132.0자치행정국 회계과2023-09-04
109111광주광역시 북구 효령동 860-60답149.0자치행정국 회계과2023-09-04
110112광주광역시 북구 용전동 441전107.0자치행정국 회계과2023-09-04
111113광주광역시 북구 용전동 443전60.0자치행정국 회계과2023-09-04
112114광주광역시 북구 용전동 444전73.0자치행정국 회계과2023-09-04
113115광주광역시 북구 용전동 1058-10전11.0자치행정국 회계과2023-09-04
114116광주광역시 북구 용전동 1211-13답11.0자치행정국 회계과2023-09-04
115117광주광역시 북구 월출동 308대159.0자치행정국 회계과2023-09-04
116118광주광역시 북구 월출동 308-1대16.0자치행정국 회계과2023-09-04