Overview

Dataset statistics

Number of variables10
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory92.6 B

Variable types

Categorical4
Numeric5
Text1

Dataset

Description순천시 읍면동별 토지 및 지목별 면적 현황 정보입니다. 지목, 계 면적수, 등록지 면적수, 미복구지 면적수 등의 항목을 제공합니다.
Author전라남도 순천시
URLhttps://www.data.go.kr/data/3072837/fileData.do

Alerts

행정구역코드 has constant value ""Constant
행정구역명칭 has constant value ""Constant
미복구지_면적 has constant value ""Constant
미복구지_지번수 has constant value ""Constant
계_면적 is highly overall correlated with 계_지번수 and 2 other fieldsHigh correlation
계_지번수 is highly overall correlated with 계_면적 and 2 other fieldsHigh correlation
등록지_면적 is highly overall correlated with 계_면적 and 2 other fieldsHigh correlation
등록지_지번수 is highly overall correlated with 계_면적 and 2 other fieldsHigh correlation
지목코드 has unique valuesUnique
지 목 has unique valuesUnique
계_면적 has unique valuesUnique
계_지번수 has unique valuesUnique
등록지_면적 has unique valuesUnique
등록지_지번수 has unique valuesUnique
계_면적 has 1 (3.4%) zerosZeros
계_지번수 has 1 (3.4%) zerosZeros
등록지_면적 has 1 (3.4%) zerosZeros
등록지_지번수 has 1 (3.4%) zerosZeros

Reproduction

Analysis started2023-12-12 10:52:46.397204
Analysis finished2023-12-12 10:52:51.249790
Duration4.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정구역코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
46150
29 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row46150
2nd row46150
3rd row46150
4th row46150
5th row46150

Common Values

ValueCountFrequency (%)
46150 29
100.0%

Length

2023-12-12T19:52:51.346967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:52:51.513858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
46150 29
100.0%

행정구역명칭
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
전라남도 순천시
29 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전라남도 순천시
2nd row전라남도 순천시
3rd row전라남도 순천시
4th row전라남도 순천시
5th row전라남도 순천시

Common Values

ValueCountFrequency (%)
전라남도 순천시 29
100.0%

Length

2023-12-12T19:52:51.697299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:52:51.938355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 29
50.0%
순천시 29
50.0%

지목코드
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.413793
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T19:52:52.123861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum99
Range98
Interquartile range (IQR)14

Descriptive statistics

Standard deviation17.648386
Coefficient of variation (CV)1.0134717
Kurtosis17.005571
Mean17.413793
Median Absolute Deviation (MAD)7
Skewness3.6734741
Sum505
Variance311.46552
MonotonicityStrictly increasing
2023-12-12T19:52:52.320492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.4%
2 1
 
3.4%
99 1
 
3.4%
28 1
 
3.4%
27 1
 
3.4%
26 1
 
3.4%
25 1
 
3.4%
24 1
 
3.4%
23 1
 
3.4%
22 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
99 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

지 목
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T19:52:52.678264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length2.862069
Min length1

Characters and Unicode

Total characters83
Distinct characters43
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row전
2nd row답
3rd row과수원
4th row목장용지
5th row임야
ValueCountFrequency (%)
전 1
 
3.4%
제방 1
 
3.4%
잡종지 1
 
3.4%
묘지 1
 
3.4%
사적지 1
 
3.4%
종교용지 1
 
3.4%
유원지 1
 
3.4%
체육용지 1
 
3.4%
공원 1
 
3.4%
수도용지 1
 
3.4%
Other values (19) 19
65.5%
2023-12-12T19:52:53.281103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 16
19.3%
용 9
 
10.8%
장 4
 
4.8%
도 3
 
3.6%
원 3
 
3.6%
유 3
 
3.6%
전 2
 
2.4%
천 2
 
2.4%
구 2
 
2.4%
주 2
 
2.4%
Other values (33) 37
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 16
19.3%
용 9
 
10.8%
장 4
 
4.8%
도 3
 
3.6%
원 3
 
3.6%
유 3
 
3.6%
전 2
 
2.4%
천 2
 
2.4%
구 2
 
2.4%
주 2
 
2.4%
Other values (33) 37
44.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 16
19.3%
용 9
 
10.8%
장 4
 
4.8%
도 3
 
3.6%
원 3
 
3.6%
유 3
 
3.6%
전 2
 
2.4%
천 2
 
2.4%
구 2
 
2.4%
주 2
 
2.4%
Other values (33) 37
44.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 16
19.3%
용 9
 
10.8%
장 4
 
4.8%
도 3
 
3.6%
원 3
 
3.6%
유 3
 
3.6%
전 2
 
2.4%
천 2
 
2.4%
구 2
 
2.4%
주 2
 
2.4%
Other values (33) 37
44.6%

계_면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31412349
Minimum0
Maximum6.1540317 × 108
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T19:52:53.521835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21271
Q1486649.8
median2342727.9
Q312955743
95-th percentile83388900
Maximum6.1540317 × 108
Range6.1540317 × 108
Interquartile range (IQR)12469093

Descriptive statistics

Standard deviation1.143504 × 108
Coefficient of variation (CV)3.6403008
Kurtosis26.769846
Mean31412349
Median Absolute Deviation (MAD)2238911.9
Skewness5.1044262
Sum9.1095813 × 108
Variance1.3076014 × 1016
MonotonicityNot monotonic
2023-12-12T19:52:53.759247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
54385847.1 1
 
3.4%
102724268.0 1
 
3.4%
0.0 1
 
3.4%
6450539.8 1
 
3.4%
1787138.8 1
 
3.4%
64447.0 1
 
3.4%
486649.8 1
 
3.4%
103816.0 1
 
3.4%
3320667.0 1
 
3.4%
2342727.9 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
0.0 1
3.4%
25.0 1
3.4%
53140.0 1
3.4%
64447.0 1
3.4%
103816.0 1
3.4%
129959.8 1
3.4%
406289.3 1
3.4%
486649.8 1
3.4%
500001.6 1
3.4%
684654.8 1
3.4%
ValueCountFrequency (%)
615403174.9 1
3.4%
102724268.0 1
3.4%
54385847.1 1
3.4%
29543164.6 1
3.4%
24196272.8 1
3.4%
23802097.2 1
3.4%
14191684.9 1
3.4%
12955743.2 1
3.4%
6450539.8 1
3.4%
4677381.1 1
3.4%

계_지번수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13188.034
Minimum0
Maximum97833
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T19:52:54.017022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.8
Q1364
median813
Q34457
95-th percentile63915.6
Maximum97833
Range97833
Interquartile range (IQR)4093

Descriptive statistics

Standard deviation26296.47
Coefficient of variation (CV)1.9939643
Kurtosis3.3277596
Mean13188.034
Median Absolute Deviation (MAD)726
Skewness2.0835476
Sum382453
Variance6.9150432 × 108
MonotonicityNot monotonic
2023-12-12T19:52:54.272607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
65632 1
 
3.4%
97833 1
 
3.4%
0 1
 
3.4%
4457 1
 
3.4%
1305 1
 
3.4%
87 1
 
3.4%
431 1
 
3.4%
74 1
 
3.4%
687 1
 
3.4%
364 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
0 1
3.4%
1 1
3.4%
18 1
3.4%
74 1
3.4%
87 1
3.4%
180 1
3.4%
261 1
3.4%
364 1
3.4%
431 1
3.4%
439 1
3.4%
ValueCountFrequency (%)
97833 1
3.4%
65632 1
3.4%
61341 1
3.4%
59713 1
3.4%
53607 1
3.4%
12483 1
3.4%
10725 1
3.4%
4457 1
3.4%
3739 1
3.4%
3596 1
3.4%

등록지_면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31412349
Minimum0
Maximum6.1540317 × 108
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T19:52:54.480429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21271
Q1486649.8
median2342727.9
Q312955743
95-th percentile83388900
Maximum6.1540317 × 108
Range6.1540317 × 108
Interquartile range (IQR)12469093

Descriptive statistics

Standard deviation1.143504 × 108
Coefficient of variation (CV)3.6403008
Kurtosis26.769846
Mean31412349
Median Absolute Deviation (MAD)2238911.9
Skewness5.1044262
Sum9.1095813 × 108
Variance1.3076014 × 1016
MonotonicityNot monotonic
2023-12-12T19:52:54.824337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
54385847.1 1
 
3.4%
102724268.0 1
 
3.4%
0.0 1
 
3.4%
6450539.8 1
 
3.4%
1787138.8 1
 
3.4%
64447.0 1
 
3.4%
486649.8 1
 
3.4%
103816.0 1
 
3.4%
3320667.0 1
 
3.4%
2342727.9 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
0.0 1
3.4%
25.0 1
3.4%
53140.0 1
3.4%
64447.0 1
3.4%
103816.0 1
3.4%
129959.8 1
3.4%
406289.3 1
3.4%
486649.8 1
3.4%
500001.6 1
3.4%
684654.8 1
3.4%
ValueCountFrequency (%)
615403174.9 1
3.4%
102724268.0 1
3.4%
54385847.1 1
3.4%
29543164.6 1
3.4%
24196272.8 1
3.4%
23802097.2 1
3.4%
14191684.9 1
3.4%
12955743.2 1
3.4%
6450539.8 1
3.4%
4677381.1 1
3.4%

등록지_지번수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13188.034
Minimum0
Maximum97833
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T19:52:55.090607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.8
Q1364
median813
Q34457
95-th percentile63915.6
Maximum97833
Range97833
Interquartile range (IQR)4093

Descriptive statistics

Standard deviation26296.47
Coefficient of variation (CV)1.9939643
Kurtosis3.3277596
Mean13188.034
Median Absolute Deviation (MAD)726
Skewness2.0835476
Sum382453
Variance6.9150432 × 108
MonotonicityNot monotonic
2023-12-12T19:52:55.319676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
65632 1
 
3.4%
97833 1
 
3.4%
0 1
 
3.4%
4457 1
 
3.4%
1305 1
 
3.4%
87 1
 
3.4%
431 1
 
3.4%
74 1
 
3.4%
687 1
 
3.4%
364 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
0 1
3.4%
1 1
3.4%
18 1
3.4%
74 1
3.4%
87 1
3.4%
180 1
3.4%
261 1
3.4%
364 1
3.4%
431 1
3.4%
439 1
3.4%
ValueCountFrequency (%)
97833 1
3.4%
65632 1
3.4%
61341 1
3.4%
59713 1
3.4%
53607 1
3.4%
12483 1
3.4%
10725 1
3.4%
4457 1
3.4%
3739 1
3.4%
3596 1
3.4%

미복구지_면적
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
0
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29
100.0%

Length

2023-12-12T19:52:55.540875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:52:55.750460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

미복구지_지번수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
0
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29
100.0%

Length

2023-12-12T19:52:55.958098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:52:56.121508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

Interactions

2023-12-12T19:52:50.066392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:46.807347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:47.651340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:48.469345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:49.209646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:50.217391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:46.954753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:47.810762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:48.598637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:49.385399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:50.372977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:47.108072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:47.981838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:48.758293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:49.567816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:50.532676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:47.280166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:48.135947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:48.893229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:49.731382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:50.683243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:47.465230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:48.295416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:49.057792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:52:49.892742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:52:56.236675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지목코드지 목계_면적계_지번수등록지_면적등록지_지번수
지목코드1.0001.0000.0000.0000.0000.000
지 목1.0001.0001.0001.0001.0001.000
계_면적0.0001.0001.0001.0001.0001.000
계_지번수0.0001.0001.0001.0001.0001.000
등록지_면적0.0001.0001.0001.0001.0001.000
등록지_지번수0.0001.0001.0001.0001.0001.000
2023-12-12T19:52:56.980470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지목코드계_면적계_지번수등록지_면적등록지_지번수
지목코드1.000-0.424-0.356-0.424-0.356
계_면적-0.4241.0000.9071.0000.907
계_지번수-0.3560.9071.0000.9071.000
등록지_면적-0.4241.0000.9071.0000.907
등록지_지번수-0.3560.9071.0000.9071.000

Missing values

2023-12-12T19:52:50.888223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:52:51.145339image/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

행정구역코드행정구역명칭지목코드지 목계_면적계_지번수등록지_면적등록지_지번수미복구지_면적미복구지_지번수
046150전라남도 순천시1전54385847.16563254385847.16563200
146150전라남도 순천시2답102724268.097833102724268.09783300
246150전라남도 순천시3과수원2374598.27772374598.277700
346150전라남도 순천시4목장용지4101382.210754101382.2107500
446150전라남도 순천시5임야615403174.953607615403174.95360700
546150전라남도 순천시6광천지25.0125.0100
646150전라남도 순천시7염전1075152.02611075152.026100
746150전라남도 순천시8대23802097.25971323802097.25971300
846150전라남도 순천시9공장용지4677381.18134677381.181300
946150전라남도 순천시10학교용지2410077.34392410077.343900
행정구역코드행정구역명칭지목코드지 목계_면적계_지번수등록지_면적등록지_지번수미복구지_면적미복구지_지번수
1946150전라남도 순천시20양어장53140.01853140.01800
2046150전라남도 순천시21수도용지500001.6558500001.655800
2146150전라남도 순천시22공원2342727.93642342727.936400
2246150전라남도 순천시23체육용지3320667.06873320667.068700
2346150전라남도 순천시24유원지103816.074103816.07400
2446150전라남도 순천시25종교용지486649.8431486649.843100
2546150전라남도 순천시26사적지64447.08764447.08700
2646150전라남도 순천시27묘지1787138.813051787138.8130500
2746150전라남도 순천시28잡종지6450539.844576450539.8445700
2846150전라남도 순천시99미복구지0.000.0000