Overview

Dataset statistics

Number of variables8
Number of observations2910
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory187.7 KiB
Average record size in memory66.0 B

Variable types

Numeric2
Text1
Categorical5

Dataset

Description충청남도 보령시의 공유지현황을 순번, 소재지, 지목, 면적, 소유구분, 재산구분, 재산관리관, 데이터기준일의 순서로 제공합니다.
URLhttps://www.data.go.kr/data/15114024/fileData.do

Alerts

소유구분 has constant value ""Constant
데이터기준일 has constant value ""Constant
재산구분 is highly overall correlated with 재산관리관High correlation
재산관리관 is highly overall correlated with 재산구분High correlation
순번 has unique valuesUnique
소 재 지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:09:13.957309
Analysis finished2023-12-12 15:09:15.042817
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct2910
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1455.5
Minimum1
Maximum2910
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.7 KiB
2023-12-13T00:09:15.110008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile146.45
Q1728.25
median1455.5
Q32182.75
95-th percentile2764.55
Maximum2910
Range2909
Interquartile range (IQR)1454.5

Descriptive statistics

Standard deviation840.18897
Coefficient of variation (CV)0.57725109
Kurtosis-1.2
Mean1455.5
Median Absolute Deviation (MAD)727.5
Skewness0
Sum4235505
Variance705917.5
MonotonicityStrictly increasing
2023-12-13T00:09:15.229356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1935 1
 
< 0.1%
1937 1
 
< 0.1%
1938 1
 
< 0.1%
1939 1
 
< 0.1%
1940 1
 
< 0.1%
1941 1
 
< 0.1%
1942 1
 
< 0.1%
1943 1
 
< 0.1%
1944 1
 
< 0.1%
Other values (2900) 2900
99.7%
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 (%)
2910 1
< 0.1%
2909 1
< 0.1%
2908 1
< 0.1%
2907 1
< 0.1%
2906 1
< 0.1%
2905 1
< 0.1%
2904 1
< 0.1%
2903 1
< 0.1%
2902 1
< 0.1%
2901 1
< 0.1%

소 재 지
Text

UNIQUE 

Distinct2910
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size22.9 KiB
2023-12-13T00:09:15.551208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length20.808935
Min length15

Characters and Unicode

Total characters60554
Distinct characters117
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

Unique2910 ?
Unique (%)100.0%

Sample

1st row충청남도 보령시 대천동 18-12
2nd row충청남도 보령시 대천동 37-5
3rd row충청남도 보령시 대천동 55-7
4th row충청남도 보령시 대천동 97-9
5th row충청남도 보령시 대천동 106-14
ValueCountFrequency (%)
충청남도 2910
21.2%
보령시 2910
21.2%
오천면 364
 
2.6%
웅천읍 303
 
2.2%
천북면 238
 
1.7%
신흑동 213
 
1.5%
미산면 212
 
1.5%
청라면 204
 
1.5%
남포면 189
 
1.4%
주교면 157
 
1.1%
Other values (2763) 6051
44.0%
2023-12-13T00:09:16.048349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10841
17.9%
3269
 
5.4%
3158
 
5.2%
3155
 
5.2%
2987
 
4.9%
2954
 
4.9%
2932
 
4.8%
2910
 
4.8%
1 2347
 
3.9%
- 2275
 
3.8%
Other values (107) 23726
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36125
59.7%
Decimal Number 11313
 
18.7%
Space Separator 10841
 
17.9%
Dash Punctuation 2275
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3269
 
9.0%
3158
 
8.7%
3155
 
8.7%
2987
 
8.3%
2954
 
8.2%
2932
 
8.1%
2910
 
8.1%
2111
 
5.8%
1808
 
5.0%
1234
 
3.4%
Other values (95) 9607
26.6%
Decimal Number
ValueCountFrequency (%)
1 2347
20.7%
2 1531
13.5%
3 1234
10.9%
4 1122
9.9%
5 985
8.7%
6 930
 
8.2%
7 867
 
7.7%
9 795
 
7.0%
8 788
 
7.0%
0 714
 
6.3%
Space Separator
ValueCountFrequency (%)
10841
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2275
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36125
59.7%
Common 24429
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3269
 
9.0%
3158
 
8.7%
3155
 
8.7%
2987
 
8.3%
2954
 
8.2%
2932
 
8.1%
2910
 
8.1%
2111
 
5.8%
1808
 
5.0%
1234
 
3.4%
Other values (95) 9607
26.6%
Common
ValueCountFrequency (%)
10841
44.4%
1 2347
 
9.6%
- 2275
 
9.3%
2 1531
 
6.3%
3 1234
 
5.1%
4 1122
 
4.6%
5 985
 
4.0%
6 930
 
3.8%
7 867
 
3.5%
9 795
 
3.3%
Other values (2) 1502
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36125
59.7%
ASCII 24429
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10841
44.4%
1 2347
 
9.6%
- 2275
 
9.3%
2 1531
 
6.3%
3 1234
 
5.1%
4 1122
 
4.6%
5 985
 
4.0%
6 930
 
3.8%
7 867
 
3.5%
9 795
 
3.3%
Other values (2) 1502
 
6.1%
Hangul
ValueCountFrequency (%)
3269
 
9.0%
3158
 
8.7%
3155
 
8.7%
2987
 
8.3%
2954
 
8.2%
2932
 
8.1%
2910
 
8.1%
2111
 
5.8%
1808
 
5.0%
1234
 
3.4%
Other values (95) 9607
26.6%

지목
Categorical

Distinct23
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size22.9 KiB
도로
1049 
임야
621 
248 
244 
134 
Other values (18)
614 

Length

Max length4
Median length2
Mean length1.9051546
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row구거
2nd row도로
3rd row도로
4th row도로
5th row도로

Common Values

ValueCountFrequency (%)
도로 1049
36.0%
임야 621
21.3%
248
 
8.5%
244
 
8.4%
134
 
4.6%
하천 110
 
3.8%
잡종지 106
 
3.6%
공원 92
 
3.2%
묘지 67
 
2.3%
유지 52
 
1.8%
Other values (13) 187
 
6.4%

Length

2023-12-13T00:09:16.202132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
도로 1049
36.0%
임야 621
21.3%
248
 
8.5%
244
 
8.4%
134
 
4.6%
하천 110
 
3.8%
잡종지 106
 
3.6%
공원 92
 
3.2%
묘지 67
 
2.3%
유지 52
 
1.8%
Other values (13) 187
 
6.4%

면적
Real number (ℝ)

Distinct2170
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6443.24
Minimum135.09
Maximum472261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.7 KiB
2023-12-13T00:09:16.325563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135.09
5-th percentile1060
Q11388
median2122.5
Q34354.25
95-th percentile22518.49
Maximum472261
Range472125.91
Interquartile range (IQR)2966.25

Descriptive statistics

Standard deviation20061.344
Coefficient of variation (CV)3.1135491
Kurtosis217.11302
Mean6443.24
Median Absolute Deviation (MAD)926.65
Skewness12.311466
Sum18749828
Variance4.0245751 × 108
MonotonicityNot monotonic
2023-12-13T00:09:16.475768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1289.0 10
 
0.3%
1388.0 9
 
0.3%
1091.0 8
 
0.3%
1167.0 8
 
0.3%
1190.0 8
 
0.3%
1884.0 8
 
0.3%
2182.0 7
 
0.2%
1488.0 7
 
0.2%
3174.0 6
 
0.2%
1160.0 6
 
0.2%
Other values (2160) 2833
97.4%
ValueCountFrequency (%)
135.09 1
 
< 0.1%
161.52 1
 
< 0.1%
356.0 1
 
< 0.1%
455.09 1
 
< 0.1%
540.5 1
 
< 0.1%
588.56 1
 
< 0.1%
663.0 1
 
< 0.1%
941.0 1
 
< 0.1%
1000.0 3
0.1%
1000.8 1
 
< 0.1%
ValueCountFrequency (%)
472261.0 1
< 0.1%
439736.0 1
< 0.1%
311405.0 1
< 0.1%
258248.0 1
< 0.1%
199750.0 1
< 0.1%
190934.0 1
< 0.1%
184095.0 1
< 0.1%
172085.0 1
< 0.1%
156893.0 1
< 0.1%
153992.0 1
< 0.1%

소유구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.9 KiB
시유재산
2910 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시유재산 2910
100.0%

Length

2023-12-13T00:09:16.639301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:09:16.727181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시유재산 2910
100.0%

재산구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.9 KiB
행정재산
2507 
일반재산
403 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
행정재산 2507
86.2%
일반재산 403
 
13.8%

Length

2023-12-13T00:09:16.819885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:09:16.928260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행정재산 2507
86.2%
일반재산 403
 
13.8%

재산관리관
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size22.9 KiB
도로과
1155 
건설과
415 
산림공원과
394 
회계과
233 
지역경제과
166 
Other values (37)
547 

Length

Max length7
Median length3
Mean length3.6522337
Min length3

Unique

Unique8 ?
Unique (%)0.3%

Sample

1st row건설과
2nd row도로과
3rd row도로과
4th row도로과
5th row도로과

Common Values

ValueCountFrequency (%)
도로과 1155
39.7%
건설과 415
 
14.3%
산림공원과 394
 
13.5%
회계과 233
 
8.0%
지역경제과 166
 
5.7%
관광과 91
 
3.1%
경로장애인과 73
 
2.5%
수도과 65
 
2.2%
체육진흥과 46
 
1.6%
해수욕장경영과 43
 
1.5%
Other values (32) 229
 
7.9%

Length

2023-12-13T00:09:17.052355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
도로과 1155
39.7%
건설과 415
 
14.3%
산림공원과 394
 
13.5%
회계과 233
 
8.0%
지역경제과 166
 
5.7%
관광과 91
 
3.1%
경로장애인과 73
 
2.5%
수도과 65
 
2.2%
체육진흥과 46
 
1.6%
해수욕장경영과 43
 
1.5%
Other values (31) 229
 
7.9%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.9 KiB
2023-05-25
2910 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-25
2nd row2023-05-25
3rd row2023-05-25
4th row2023-05-25
5th row2023-05-25

Common Values

ValueCountFrequency (%)
2023-05-25 2910
100.0%

Length

2023-12-13T00:09:17.214866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:09:17.313672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-25 2910
100.0%

Interactions

2023-12-13T00:09:14.569327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:09:14.379690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:09:14.671670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:09:14.478740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:09:17.369761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번지목면적재산구분재산관리관
순번1.0000.4480.0510.3690.623
지목0.4481.0000.1070.5140.856
면적0.0510.1071.0000.0000.000
재산구분0.3690.5140.0001.0000.908
재산관리관0.6230.8560.0000.9081.000
2023-12-13T00:09:17.483930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지목재산구분재산관리관
지목1.0000.4480.370
재산구분0.4481.0000.777
재산관리관0.3700.7771.000
2023-12-13T00:09:17.574947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번면적지목재산구분재산관리관
순번1.000-0.0060.1820.2820.266
면적-0.0061.0000.0430.0000.000
지목0.1820.0431.0000.4480.370
재산구분0.2820.0000.4481.0000.777
재산관리관0.2660.0000.3700.7771.000

Missing values

2023-12-13T00:09:14.843302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:09:14.985485image/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

순번소 재 지지목면적소유구분재산구분재산관리관데이터기준일
01충청남도 보령시 대천동 18-12구거1041.4시유재산행정재산건설과2023-05-25
12충청남도 보령시 대천동 37-5도로1678.1시유재산행정재산도로과2023-05-25
23충청남도 보령시 대천동 55-7도로1476.6시유재산행정재산도로과2023-05-25
34충청남도 보령시 대천동 97-9도로2324.8시유재산행정재산도로과2023-05-25
45충청남도 보령시 대천동 106-14도로1376.0시유재산행정재산도로과2023-05-25
56충청남도 보령시 대천동 111-52103.4시유재산행정재산도시과2023-05-25
67충청남도 보령시 대천동 124-9도로1464.4시유재산행정재산도로과2023-05-25
78충청남도 보령시 대천동 134-7공원2603.7시유재산행정재산산림공원과2023-05-25
89충청남도 보령시 대천동 134-50도로1167.2시유재산행정재산도로과2023-05-25
910충청남도 보령시 대천동 135-3도로1183.2시유재산행정재산도로과2023-05-25
순번소 재 지지목면적소유구분재산구분재산관리관데이터기준일
29002901충청남도 보령시 주교면 신대리 1197-11051.0시유재산행정재산건설과2023-05-25
29012902충청남도 보령시 주교면 신대리 1280-91760.0시유재산행정재산건설과2023-05-25
29022903충청남도 보령시 주교면 신대리 12861426.0시유재산행정재산건설과2023-05-25
29032904충청남도 보령시 주교면 신대리 1344도로7199.9시유재산행정재산건설과2023-05-25
29042905충청남도 보령시 주교면 신대리 산106-2유지2786.0시유재산행정재산건설과2023-05-25
29052906충청남도 보령시 주교면 신대리 산119-1유지3137.0시유재산행정재산건설과2023-05-25
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