Overview

Dataset statistics

Number of variables8
Number of observations1047
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory69.7 KiB
Average record size in memory68.1 B

Variable types

Numeric4
Text1
Boolean1
Categorical2

Dataset

Description예산군 공유재산 현황(소재지, 대부가능여부, 토지지목, 실지목, 면적등)에 대한 정보
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=408&beforeMenuCd=DOM_000000201001001000&publicdatapk=15040820

Alerts

면적 is highly overall correlated with 실면적 and 1 other fieldsHigh correlation
실면적 is highly overall correlated with 면적 and 1 other fieldsHigh correlation
취득면적 is highly overall correlated with 면적 and 1 other fieldsHigh correlation
대부가능여부 is highly overall correlated with 실지목High correlation
토지지목 is highly overall correlated with 실지목High correlation
실지목 is highly overall correlated with 대부가능여부 and 1 other fieldsHigh correlation
면적 is highly skewed (γ1 = 28.35391205)Skewed
실면적 is highly skewed (γ1 = 28.35717256)Skewed
취득면적 is highly skewed (γ1 = 27.01604657)Skewed
순번 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:56:38.520120
Analysis finished2024-01-09 22:56:40.534277
Duration2.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1047
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean524
Minimum1
Maximum1047
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2024-01-10T07:56:40.862084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile53.3
Q1262.5
median524
Q3785.5
95-th percentile994.7
Maximum1047
Range1046
Interquartile range (IQR)523

Descriptive statistics

Standard deviation302.38717
Coefficient of variation (CV)0.57707475
Kurtosis-1.2
Mean524
Median Absolute Deviation (MAD)262
Skewness0
Sum548628
Variance91438
MonotonicityStrictly increasing
2024-01-10T07:56:40.996030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
689 1
 
0.1%
691 1
 
0.1%
692 1
 
0.1%
693 1
 
0.1%
694 1
 
0.1%
695 1
 
0.1%
696 1
 
0.1%
697 1
 
0.1%
698 1
 
0.1%
Other values (1037) 1037
99.0%
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 (%)
1047 1
0.1%
1046 1
0.1%
1045 1
0.1%
1044 1
0.1%
1043 1
0.1%
1042 1
0.1%
1041 1
0.1%
1040 1
0.1%
1039 1
0.1%
1038 1
0.1%

소재지
Text

UNIQUE 

Distinct1047
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2024-01-10T07:56:41.227799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length26
Mean length23.242598
Min length19

Characters and Unicode

Total characters24335
Distinct characters125
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1047 ?
Unique (%)100.0%

Sample

1st row충청남도 예산군 예산읍 예산리 4-1
2nd row충청남도 예산군 예산읍 예산리 5-1
3rd row충청남도 예산군 예산읍 예산리 288-6
4th row충청남도 예산군 예산읍 예산리 288-16
5th row충청남도 예산군 예산읍 예산리 296-2
ValueCountFrequency (%)
충청남도 1047
19.5%
예산군 1047
19.5%
신암면 251
 
4.7%
조곡리 182
 
3.4%
예산읍 125
 
2.3%
산 124
 
2.3%
오가면 105
 
2.0%
삽교읍 94
 
1.8%
고덕면 92
 
1.7%
대흥면 82
 
1.5%
Other values (1124) 2211
41.2%
2024-01-10T07:56:41.594023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5360
22.0%
산 1492
 
6.1%
예 1220
 
5.0%
도 1071
 
4.4%
충 1047
 
4.3%
군 1047
 
4.3%
리 1047
 
4.3%
청 1047
 
4.3%
남 1047
 
4.3%
- 986
 
4.1%
Other values (115) 8971
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13713
56.4%
Space Separator 5360
 
22.0%
Decimal Number 4274
 
17.6%
Dash Punctuation 986
 
4.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1492
10.9%
예 1220
 
8.9%
도 1071
 
7.8%
충 1047
 
7.6%
군 1047
 
7.6%
리 1047
 
7.6%
청 1047
 
7.6%
남 1047
 
7.6%
면 828
 
6.0%
신 431
 
3.1%
Other values (101) 3436
25.1%
Decimal Number
ValueCountFrequency (%)
1 848
19.8%
2 587
13.7%
4 573
13.4%
3 559
13.1%
9 333
 
7.8%
5 292
 
6.8%
7 283
 
6.6%
6 282
 
6.6%
8 263
 
6.2%
0 254
 
5.9%
Space Separator
ValueCountFrequency (%)
5360
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 986
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13713
56.4%
Common 10622
43.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1492
10.9%
예 1220
 
8.9%
도 1071
 
7.8%
충 1047
 
7.6%
군 1047
 
7.6%
리 1047
 
7.6%
청 1047
 
7.6%
남 1047
 
7.6%
면 828
 
6.0%
신 431
 
3.1%
Other values (101) 3436
25.1%
Common
ValueCountFrequency (%)
5360
50.5%
- 986
 
9.3%
1 848
 
8.0%
2 587
 
5.5%
4 573
 
5.4%
3 559
 
5.3%
9 333
 
3.1%
5 292
 
2.7%
7 283
 
2.7%
6 282
 
2.7%
Other values (4) 519
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13713
56.4%
ASCII 10622
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5360
50.5%
- 986
 
9.3%
1 848
 
8.0%
2 587
 
5.5%
4 573
 
5.4%
3 559
 
5.3%
9 333
 
3.1%
5 292
 
2.7%
7 283
 
2.7%
6 282
 
2.7%
Other values (4) 519
 
4.9%
Hangul
ValueCountFrequency (%)
산 1492
10.9%
예 1220
 
8.9%
도 1071
 
7.8%
충 1047
 
7.6%
군 1047
 
7.6%
리 1047
 
7.6%
청 1047
 
7.6%
남 1047
 
7.6%
면 828
 
6.0%
신 431
 
3.1%
Other values (101) 3436
25.1%

대부가능여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
True
773 
False
274 
ValueCountFrequency (%)
True 773
73.8%
False 274
 
26.2%
2024-01-10T07:56:41.698040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

토지지목
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
전
481 
임야
214 
답
143 
대
135 
도로
 
21
Other values (8)
53 

Length

Max length4
Median length1
Mean length1.3142311
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
전 481
45.9%
임야 214
20.4%
답 143
 
13.7%
대 135
 
12.9%
도로 21
 
2.0%
잡종지 13
 
1.2%
학교용지 11
 
1.1%
유지 10
 
1.0%
구거 7
 
0.7%
과수원 5
 
0.5%
Other values (3) 7
 
0.7%

Length

2024-01-10T07:56:41.796806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전 481
45.9%
임야 214
20.4%
답 143
 
13.7%
대 135
 
12.9%
도로 21
 
2.0%
잡종지 13
 
1.2%
학교용지 11
 
1.1%
유지 10
 
1.0%
구거 7
 
0.7%
과수원 5
 
0.5%
Other values (3) 7
 
0.7%

실지목
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
전
457 
임야
244 
답
119 
대
108 
잡종지
47 
Other values (11)
72 

Length

Max length4
Median length1
Mean length1.4240688
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전
2nd row임야
3rd row전
4th row전
5th row임야

Common Values

ValueCountFrequency (%)
전 457
43.6%
임야 244
23.3%
답 119
 
11.4%
대 108
 
10.3%
잡종지 47
 
4.5%
도로 26
 
2.5%
과수원 12
 
1.1%
구거 10
 
1.0%
학교용지 6
 
0.6%
하천 5
 
0.5%
Other values (6) 13
 
1.2%

Length

2024-01-10T07:56:41.914005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전 457
43.6%
임야 244
23.3%
답 119
 
11.4%
대 108
 
10.3%
잡종지 47
 
4.5%
도로 26
 
2.5%
과수원 12
 
1.1%
구거 10
 
1.0%
학교용지 6
 
0.6%
하천 5
 
0.5%
Other values (6) 13
 
1.2%

면적
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct726
Distinct (%)69.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2211.092
Minimum2
Maximum685801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2024-01-10T07:56:42.051692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile19.3
Q1163.5
median437
Q31091
95-th percentile4954.6
Maximum685801
Range685799
Interquartile range (IQR)927.5

Descriptive statistics

Standard deviation22202.774
Coefficient of variation (CV)10.041543
Kurtosis863.13149
Mean2211.092
Median Absolute Deviation (MAD)338
Skewness28.353912
Sum2315013.3
Variance4.929632 × 108
MonotonicityNot monotonic
2024-01-10T07:56:42.217453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 11
 
1.1%
198.0 11
 
1.1%
298.0 9
 
0.9%
79.0 6
 
0.6%
1091.0 5
 
0.5%
132.0 5
 
0.5%
139.0 5
 
0.5%
102.0 5
 
0.5%
46.0 5
 
0.5%
992.0 5
 
0.5%
Other values (716) 980
93.6%
ValueCountFrequency (%)
2.0 4
0.4%
2.7 1
 
0.1%
3.0 1
 
0.1%
3.8 1
 
0.1%
4.0 4
0.4%
5.0 4
0.4%
6.0 5
0.5%
7.9 1
 
0.1%
8.0 3
0.3%
9.0 4
0.4%
ValueCountFrequency (%)
685801.0 1
0.1%
136583.0 1
0.1%
120142.0 1
0.1%
58196.0 1
0.1%
52715.0 1
0.1%
39669.0 1
0.1%
32714.0 1
0.1%
31690.0 1
0.1%
31102.0 1
0.1%
29770.0 1
0.1%

실면적
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct731
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2205.0075
Minimum0.1
Maximum685801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2024-01-10T07:56:42.381799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile19
Q1162.5
median437
Q31086.5
95-th percentile4921
Maximum685801
Range685800.9
Interquartile range (IQR)924

Descriptive statistics

Standard deviation22202.133
Coefficient of variation (CV)10.06896
Kurtosis863.26272
Mean2205.0075
Median Absolute Deviation (MAD)338
Skewness28.357173
Sum2308642.9
Variance4.9293473 × 108
MonotonicityNot monotonic
2024-01-10T07:56:42.546449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 11
 
1.1%
198.0 11
 
1.1%
298.0 9
 
0.9%
79.0 6
 
0.6%
139.0 5
 
0.5%
1091.0 5
 
0.5%
132.0 5
 
0.5%
102.0 5
 
0.5%
46.0 5
 
0.5%
992.0 5
 
0.5%
Other values (721) 980
93.6%
ValueCountFrequency (%)
0.1 1
 
0.1%
2.0 4
0.4%
2.7 1
 
0.1%
3.0 1
 
0.1%
3.8 1
 
0.1%
4.0 3
0.3%
5.0 4
0.4%
6.0 5
0.5%
6.77 1
 
0.1%
7.9 1
 
0.1%
ValueCountFrequency (%)
685801.0 1
0.1%
136583.0 1
0.1%
120142.0 1
0.1%
58196.0 1
0.1%
52715.0 1
0.1%
39669.0 1
0.1%
32714.0 1
0.1%
31690.0 1
0.1%
31102.0 1
0.1%
29770.0 1
0.1%

취득면적
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct715
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2406.4805
Minimum0.1
Maximum686083
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2024-01-10T07:56:42.710747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile19
Q1162.5
median459
Q31091
95-th percentile5083.7
Maximum686083
Range686082.9
Interquartile range (IQR)928.5

Descriptive statistics

Standard deviation22607.408
Coefficient of variation (CV)9.3943864
Kurtosis803.80788
Mean2406.4805
Median Absolute Deviation (MAD)360
Skewness27.016047
Sum2519585.1
Variance5.1109488 × 108
MonotonicityNot monotonic
2024-01-10T07:56:42.869254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 12
 
1.1%
198.0 11
 
1.1%
298.0 10
 
1.0%
1091.0 6
 
0.6%
79.0 6
 
0.6%
992.0 6
 
0.6%
139.0 5
 
0.5%
377.0 5
 
0.5%
132.0 5
 
0.5%
2.0 5
 
0.5%
Other values (705) 976
93.2%
ValueCountFrequency (%)
0.1 1
 
0.1%
1.0 1
 
0.1%
2.0 5
0.5%
3.0 1
 
0.1%
3.8 1
 
0.1%
4.0 3
0.3%
5.0 4
0.4%
6.0 5
0.5%
6.77 1
 
0.1%
8.0 4
0.4%
ValueCountFrequency (%)
686083.0 1
0.1%
136583.0 1
0.1%
121133.0 1
0.1%
100177.0 1
0.1%
95801.0 1
0.1%
60862.0 1
0.1%
52715.0 1
0.1%
39669.0 1
0.1%
32714.0 1
0.1%
31690.0 1
0.1%

Interactions

2024-01-10T07:56:39.979129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:56:38.915322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:56:39.253618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:56:39.607133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:56:40.069052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:56:38.995945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:56:39.341659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:56:39.692410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:56:40.158164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:56:39.078631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:56:39.429320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:56:39.785032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:56:40.257490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:56:39.166287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:56:39.517495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:56:39.879036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:56:42.981704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번대부가능여부토지지목실지목면적실면적취득면적
순번1.0000.4250.4450.4510.0000.0000.127
대부가능여부0.4251.0000.3070.6860.0000.0000.000
토지지목0.4450.3071.0000.8920.0000.0000.000
실지목0.4510.6860.8921.0000.0000.0000.000
면적0.0000.0000.0000.0001.0001.0000.988
실면적0.0000.0000.0000.0001.0001.0000.988
취득면적0.1270.0000.0000.0000.9880.9881.000
2024-01-10T07:56:43.109652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
실지목대부가능여부토지지목
실지목1.0000.5450.590
대부가능여부0.5451.0000.284
토지지목0.5900.2841.000
2024-01-10T07:56:43.213789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번면적실면적취득면적대부가능여부토지지목실지목
순번1.0000.0500.0510.0460.3250.2010.194
면적0.0501.0001.0000.9910.0000.0000.000
실면적0.0511.0001.0000.9920.0000.0000.000
취득면적0.0460.9910.9921.0000.0000.0000.000
대부가능여부0.3250.0000.0000.0001.0000.2840.545
토지지목0.2010.0000.0000.0000.2841.0000.590
실지목0.1940.0000.0000.0000.5450.5901.000

Missing values

2024-01-10T07:56:40.377970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:56:40.488804image/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

순번소재지대부가능여부토지지목실지목면적실면적취득면적
01충청남도 예산군 예산읍 예산리 4-1Y학교용지전1144.01144.01144.0
12충청남도 예산군 예산읍 예산리 5-1N학교용지임야681.0681.0681.0
23충청남도 예산군 예산읍 예산리 288-6Y답전21.021.021.0
34충청남도 예산군 예산읍 예산리 288-16N답전6.06.06.0
45충청남도 예산군 예산읍 예산리 296-2N대임야47.047.047.0
56충청남도 예산군 예산읍 예산리 298-7N대임야5.05.05.0
67충청남도 예산군 예산읍 예산리 303-17Y대전71.071.071.0
78충청남도 예산군 예산읍 예산리 320-1Y대대310.0310.0310.0
89충청남도 예산군 예산읍 예산리 320-2Y대대156.0156.0156.0
910충청남도 예산군 예산읍 예산리 320-3Y대대374.0374.0374.0
순번소재지대부가능여부토지지목실지목면적실면적취득면적
10371038충청남도 예산군 오가면 오촌리 10-40Y전전1170.01170.01170.0
10381039충청남도 예산군 오가면 오촌리 10-41Y전묘지1148.01148.01148.0
10391040충청남도 예산군 오가면 오촌리 10-42Y전묘지730.0730.0730.0
10401041충청남도 예산군 오가면 오촌리 10-43Y전전373.0373.0373.0
10411042충청남도 예산군 오가면 오촌리 10-44Y전전365.0365.0365.0
10421043충청남도 예산군 오가면 오촌리 10-45Y전전3732.03732.03732.0
10431044충청남도 예산군 오가면 오촌리 10-46Y전전3091.03091.03091.0
10441045충청남도 예산군 오가면 오촌리 10-73Y임야임야3691.03691.03691.0
10451046충청남도 예산군 오가면 오촌리 89-3Y답답79.079.079.0
10461047충청남도 예산군 오가면 오촌리 산 24-5N임야임야1091.01091.01091.0