Overview

Dataset statistics

Number of variables11
Number of observations243
Missing cells92
Missing cells (%)3.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.7 KiB
Average record size in memory95.5 B

Variable types

Numeric4
Text2
Categorical5

Dataset

Description철원군 내 원룸 및 오피스텔(다세대, 다가구) 현황건물명/시군구명/소재지주소/대지면적/건축면적/동 주용도/세부용도/층수/세대/층용도
Author강원특별자치도 철원군
URLhttps://www.data.go.kr/data/15127179/fileData.do

Alerts

지하층수 is highly overall correlated with (층)주용도코드명High correlation
(층)주용도코드명 is highly overall correlated with 대지면적 and 4 other fieldsHigh correlation
주용도코드명 is highly overall correlated with (층)주용도코드명High correlation
대지면적 is highly overall correlated with 건축면적 and 1 other fieldsHigh correlation
건축면적 is highly overall correlated with 대지면적 and 1 other fieldsHigh correlation
가구수 is highly overall correlated with 건축면적 and 1 other fieldsHigh correlation
세대수 is highly overall correlated with (층)주용도코드명High correlation
주용도코드명 is highly imbalanced (76.3%)Imbalance
(층)주용도코드명 is highly imbalanced (96.1%)Imbalance
세대수 is highly imbalanced (62.3%)Imbalance
도로명주소 has 19 (7.8%) missing valuesMissing
대지면적 has 68 (28.0%) missing valuesMissing
가구수 has 5 (2.1%) missing valuesMissing
연번 has unique valuesUnique
대지면적 has 12 (4.9%) zerosZeros
가구수 has 4 (1.6%) zerosZeros

Reproduction

Analysis started2024-04-20 15:42:33.475122
Analysis finished2024-04-20 15:42:38.225359
Duration4.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct243
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122
Minimum1
Maximum243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T00:42:38.455884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.1
Q161.5
median122
Q3182.5
95-th percentile230.9
Maximum243
Range242
Interquartile range (IQR)121

Descriptive statistics

Standard deviation70.292247
Coefficient of variation (CV)0.57616596
Kurtosis-1.2
Mean122
Median Absolute Deviation (MAD)61
Skewness0
Sum29646
Variance4941
MonotonicityStrictly increasing
2024-04-21T00:42:38.915582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
154 1
 
0.4%
156 1
 
0.4%
157 1
 
0.4%
158 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
Other values (233) 233
95.9%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
243 1
0.4%
242 1
0.4%
241 1
0.4%
240 1
0.4%
239 1
0.4%
238 1
0.4%
237 1
0.4%
236 1
0.4%
235 1
0.4%
234 1
0.4%

대지위치주소
Text

Distinct224
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-21T00:42:40.486671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length27.876543
Min length23

Characters and Unicode

Total characters6774
Distinct characters66
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

Unique205 ?
Unique (%)84.4%

Sample

1st row강원특별자치도 철원군 동송읍 이평리 0839-0009
2nd row강원특별자치도 철원군 동송읍 장흥리 3017
3rd row강원특별자치도 철원군 동송읍 이평리 0858-0094
4th row강원특별자치도 철원군 갈말읍 군탄리 0964-0001
5th row강원특별자치도 철원군 갈말읍 지포리 0112-0005
ValueCountFrequency (%)
강원특별자치도 243
20.0%
철원군 243
20.0%
갈말읍 75
 
6.2%
동송읍 68
 
5.6%
서면 57
 
4.7%
와수리 38
 
3.1%
장흥리 31
 
2.5%
군탄리 29
 
2.4%
이평리 22
 
1.8%
철원읍 20
 
1.6%
Other values (247) 390
32.1%
2024-04-21T00:42:42.327069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
973
 
14.4%
0 776
 
11.5%
원 518
 
7.6%
철 275
 
4.1%
군 272
 
4.0%
자 262
 
3.9%
도 246
 
3.6%
강 244
 
3.6%
리 243
 
3.6%
특 243
 
3.6%
Other values (56) 2722
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3844
56.7%
Decimal Number 1760
26.0%
Space Separator 973
 
14.4%
Dash Punctuation 197
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 518
13.5%
철 275
 
7.2%
군 272
 
7.1%
자 262
 
6.8%
도 246
 
6.4%
강 244
 
6.3%
리 243
 
6.3%
특 243
 
6.3%
별 243
 
6.3%
치 243
 
6.3%
Other values (44) 1055
27.4%
Decimal Number
ValueCountFrequency (%)
0 776
44.1%
1 217
 
12.3%
2 130
 
7.4%
3 110
 
6.2%
5 105
 
6.0%
4 105
 
6.0%
8 86
 
4.9%
6 84
 
4.8%
7 81
 
4.6%
9 66
 
3.8%
Space Separator
ValueCountFrequency (%)
973
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 197
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3844
56.7%
Common 2930
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 518
13.5%
철 275
 
7.2%
군 272
 
7.1%
자 262
 
6.8%
도 246
 
6.4%
강 244
 
6.3%
리 243
 
6.3%
특 243
 
6.3%
별 243
 
6.3%
치 243
 
6.3%
Other values (44) 1055
27.4%
Common
ValueCountFrequency (%)
973
33.2%
0 776
26.5%
1 217
 
7.4%
- 197
 
6.7%
2 130
 
4.4%
3 110
 
3.8%
5 105
 
3.6%
4 105
 
3.6%
8 86
 
2.9%
6 84
 
2.9%
Other values (2) 147
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3844
56.7%
ASCII 2930
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
973
33.2%
0 776
26.5%
1 217
 
7.4%
- 197
 
6.7%
2 130
 
4.4%
3 110
 
3.8%
5 105
 
3.6%
4 105
 
3.6%
8 86
 
2.9%
6 84
 
2.9%
Other values (2) 147
 
5.0%
Hangul
ValueCountFrequency (%)
원 518
13.5%
철 275
 
7.2%
군 272
 
7.1%
자 262
 
6.8%
도 246
 
6.4%
강 244
 
6.3%
리 243
 
6.3%
특 243
 
6.3%
별 243
 
6.3%
치 243
 
6.3%
Other values (44) 1055
27.4%

도로명주소
Text

MISSING 

Distinct210
Distinct (%)93.8%
Missing19
Missing (%)7.8%
Memory size2.0 KiB
2024-04-21T00:42:43.690171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length25.075893
Min length20

Characters and Unicode

Total characters5617
Distinct characters108
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

Unique197 ?
Unique (%)87.9%

Sample

1st row강원특별자치도 철원군 동송읍 금학로187번안길 23-14
2nd row강원특별자치도 철원군 동송읍 창동로 2297
3rd row강원특별자치도 철원군 동송읍 이평로111번길 3-8
4th row강원특별자치도 철원군 갈말읍 명성로179번길 22
5th row강원특별자치도 철원군 갈말읍 명성로 135-18
ValueCountFrequency (%)
강원특별자치도 224
20.0%
철원군 224
20.0%
갈말읍 67
 
6.0%
동송읍 60
 
5.4%
서면 57
 
5.1%
철원읍 19
 
1.7%
태봉로 17
 
1.5%
김화읍 13
 
1.2%
근남면 8
 
0.7%
명성로 7
 
0.6%
Other values (269) 424
37.9%
2024-04-21T00:42:45.265092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
896
 
16.0%
원 468
 
8.3%
철 243
 
4.3%
강 238
 
4.2%
군 229
 
4.1%
도 227
 
4.0%
자 226
 
4.0%
치 224
 
4.0%
별 224
 
4.0%
특 224
 
4.0%
Other values (98) 2418
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3754
66.8%
Space Separator 896
 
16.0%
Decimal Number 882
 
15.7%
Dash Punctuation 85
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 468
 
12.5%
철 243
 
6.5%
강 238
 
6.3%
군 229
 
6.1%
도 227
 
6.0%
자 226
 
6.0%
치 224
 
6.0%
별 224
 
6.0%
특 224
 
6.0%
로 167
 
4.4%
Other values (86) 1284
34.2%
Decimal Number
ValueCountFrequency (%)
1 208
23.6%
2 140
15.9%
3 87
9.9%
4 82
 
9.3%
6 68
 
7.7%
9 65
 
7.4%
7 62
 
7.0%
5 58
 
6.6%
0 57
 
6.5%
8 55
 
6.2%
Space Separator
ValueCountFrequency (%)
896
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3754
66.8%
Common 1863
33.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 468
 
12.5%
철 243
 
6.5%
강 238
 
6.3%
군 229
 
6.1%
도 227
 
6.0%
자 226
 
6.0%
치 224
 
6.0%
별 224
 
6.0%
특 224
 
6.0%
로 167
 
4.4%
Other values (86) 1284
34.2%
Common
ValueCountFrequency (%)
896
48.1%
1 208
 
11.2%
2 140
 
7.5%
3 87
 
4.7%
- 85
 
4.6%
4 82
 
4.4%
6 68
 
3.7%
9 65
 
3.5%
7 62
 
3.3%
5 58
 
3.1%
Other values (2) 112
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3754
66.8%
ASCII 1863
33.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
896
48.1%
1 208
 
11.2%
2 140
 
7.5%
3 87
 
4.7%
- 85
 
4.6%
4 82
 
4.4%
6 68
 
3.7%
9 65
 
3.5%
7 62
 
3.3%
5 58
 
3.1%
Other values (2) 112
 
6.0%
Hangul
ValueCountFrequency (%)
원 468
 
12.5%
철 243
 
6.5%
강 238
 
6.3%
군 229
 
6.1%
도 227
 
6.0%
자 226
 
6.0%
치 224
 
6.0%
별 224
 
6.0%
특 224
 
6.0%
로 167
 
4.4%
Other values (86) 1284
34.2%

대지면적
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct137
Distinct (%)78.3%
Missing68
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean1184.7037
Minimum0
Maximum9315
Zeros12
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T00:42:45.506292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1441.5
median793.2
Q31430.5
95-th percentile3196.8
Maximum9315
Range9315
Interquartile range (IQR)989

Descriptive statistics

Standard deviation1233.6465
Coefficient of variation (CV)1.0413123
Kurtosis13.47716
Mean1184.7037
Median Absolute Deviation (MAD)491.2
Skewness2.9821495
Sum207323.15
Variance1521883.7
MonotonicityNot monotonic
2024-04-21T00:42:45.749899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1320.0 14
 
5.8%
0.0 12
 
4.9%
660.0 4
 
1.6%
530.0 3
 
1.2%
528.0 3
 
1.2%
3000.0 2
 
0.8%
2463.0 2
 
0.8%
330.0 2
 
0.8%
1980.0 2
 
0.8%
450.0 2
 
0.8%
Other values (127) 129
53.1%
(Missing) 68
28.0%
ValueCountFrequency (%)
0.0 12
4.9%
200.0 1
 
0.4%
204.35 1
 
0.4%
207.0 1
 
0.4%
213.0 1
 
0.4%
214.0 1
 
0.4%
230.0 1
 
0.4%
231.0 1
 
0.4%
233.0 1
 
0.4%
270.0 1
 
0.4%
ValueCountFrequency (%)
9315.0 1
0.4%
6860.0 1
0.4%
5850.0 1
0.4%
4900.0 1
0.4%
4194.0 1
0.4%
3984.0 1
0.4%
3792.0 1
0.4%
3432.0 1
0.4%
3208.0 1
0.4%
3192.0 1
0.4%

건축면적
Real number (ℝ)

HIGH CORRELATION 

Distinct235
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean323.11461
Minimum45.02
Maximum1864.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T00:42:46.216149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.02
5-th percentile90.182
Q1163.825
median258.96
Q3399.3
95-th percentile746.655
Maximum1864.08
Range1819.06
Interquartile range (IQR)235.475

Descriptive statistics

Standard deviation243.91375
Coefficient of variation (CV)0.75488308
Kurtosis8.4183283
Mean323.11461
Median Absolute Deviation (MAD)115.56
Skewness2.3414218
Sum78516.85
Variance59493.918
MonotonicityNot monotonic
2024-04-21T00:42:46.656441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195.66 3
 
1.2%
243.0 2
 
0.8%
239.6 2
 
0.8%
390.12 2
 
0.8%
126.36 2
 
0.8%
283.6 2
 
0.8%
136.4 2
 
0.8%
748.8 1
 
0.4%
506.82 1
 
0.4%
478.34 1
 
0.4%
Other values (225) 225
92.6%
ValueCountFrequency (%)
45.02 1
0.4%
45.06 1
0.4%
47.06 1
0.4%
54.0 1
0.4%
56.0 1
0.4%
61.11 1
0.4%
74.42 1
0.4%
78.0 1
0.4%
80.0 1
0.4%
83.08 1
0.4%
ValueCountFrequency (%)
1864.08 1
0.4%
1328.67 1
0.4%
1227.3 1
0.4%
1161.12 1
0.4%
1109.36 1
0.4%
1086.18 1
0.4%
990.4 1
0.4%
925.32 1
0.4%
875.8 1
0.4%
859.32 1
0.4%

주용도코드명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
단독주택
219 
제2종근린생활시설
 
15
제1종근린생활시설
 
6
공동주택
 
1
노유자시설
 
1

Length

Max length9
Median length4
Mean length4.436214
Min length4

Unique

Unique3 ?
Unique (%)1.2%

Sample

1st row공동주택
2nd row단독주택
3rd row단독주택
4th row단독주택
5th row단독주택

Common Values

ValueCountFrequency (%)
단독주택 219
90.1%
제2종근린생활시설 15
 
6.2%
제1종근린생활시설 6
 
2.5%
공동주택 1
 
0.4%
노유자시설 1
 
0.4%
창고시설 1
 
0.4%

Length

2024-04-21T00:42:47.072949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T00:42:47.390889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독주택 219
90.1%
제2종근린생활시설 15
 
6.2%
제1종근린생활시설 6
 
2.5%
공동주택 1
 
0.4%
노유자시설 1
 
0.4%
창고시설 1
 
0.4%

(층)주용도코드명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
다가구주택
242 
다세대주택
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row다세대주택
2nd row다가구주택
3rd row다가구주택
4th row다가구주택
5th row다가구주택

Common Values

ValueCountFrequency (%)
다가구주택 242
99.6%
다세대주택 1
 
0.4%

Length

2024-04-21T00:42:47.745925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T00:42:48.033676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
다가구주택 242
99.6%
다세대주택 1
 
0.4%

지상층수
Categorical

Distinct5
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2
136 
1
50 
3
47 
4
 
9
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row2
2nd row2
3rd row3
4th row3
5th row1

Common Values

ValueCountFrequency (%)
2 136
56.0%
1 50
 
20.6%
3 47
 
19.3%
4 9
 
3.7%
7 1
 
0.4%

Length

2024-04-21T00:42:48.338215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T00:42:48.649280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 136
56.0%
1 50
 
20.6%
3 47
 
19.3%
4 9
 
3.7%
7 1
 
0.4%

지하층수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
145 
<NA>
79 
1
19 

Length

Max length4
Median length1
Mean length1.9753086
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 145
59.7%
<NA> 79
32.5%
1 19
 
7.8%

Length

2024-04-21T00:42:49.021751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T00:42:49.339025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 145
59.7%
na 79
32.5%
1 19
 
7.8%

세대수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
179 
0
59 
32
 
2
1
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.2222222
Min length1

Unique

Unique3 ?
Unique (%)1.2%

Sample

1st row32
2nd row1
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 179
73.7%
0 59
 
24.3%
32 2
 
0.8%
1 1
 
0.4%
2 1
 
0.4%
14 1
 
0.4%

Length

2024-04-21T00:42:49.692370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T00:42:50.031174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 179
73.7%
0 59
 
24.3%
32 2
 
0.8%
1 1
 
0.4%
2 1
 
0.4%
14 1
 
0.4%

가구수
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct30
Distinct (%)12.6%
Missing5
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean9.3319328
Minimum0
Maximum72
Zeros4
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T00:42:50.358078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q312
95-th percentile25.3
Maximum72
Range72
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.7367843
Coefficient of variation (CV)1.0433835
Kurtosis11.926009
Mean9.3319328
Median Absolute Deviation (MAD)4
Skewness2.9140126
Sum2221
Variance94.804968
MonotonicityNot monotonic
2024-04-21T00:42:50.752894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
4 39
16.0%
2 30
12.3%
8 25
10.3%
6 19
 
7.8%
12 16
 
6.6%
3 16
 
6.6%
10 15
 
6.2%
7 8
 
3.3%
18 8
 
3.3%
16 7
 
2.9%
Other values (20) 55
22.6%
ValueCountFrequency (%)
0 4
 
1.6%
1 7
 
2.9%
2 30
12.3%
3 16
6.6%
4 39
16.0%
5 6
 
2.5%
6 19
7.8%
7 8
 
3.3%
8 25
10.3%
9 3
 
1.2%
ValueCountFrequency (%)
72 1
 
0.4%
60 1
 
0.4%
54 1
 
0.4%
42 1
 
0.4%
40 1
 
0.4%
36 4
1.6%
28 2
 
0.8%
27 1
 
0.4%
25 1
 
0.4%
24 5
2.1%

Interactions

2024-04-21T00:42:36.562779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:42:34.255599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:42:35.145584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:42:35.819770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:42:36.741466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:42:34.491966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:42:35.308410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:42:36.000058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:42:36.909471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:42:34.724079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:42:35.462428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:42:36.173805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:42:37.094324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:42:34.963412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:42:35.639185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:42:36.368357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T00:42:51.021027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대지면적건축면적주용도코드명(층)주용도코드명지상층수지하층수세대수가구수
연번1.0000.0000.0000.1390.0000.1750.0000.3230.000
대지면적0.0001.0000.9320.000NaN0.0000.2830.5740.806
건축면적0.0000.9321.0000.0000.0000.5640.1720.4250.915
주용도코드명0.1390.0000.0001.0001.0000.2940.1530.3980.000
(층)주용도코드명0.000NaN0.0001.0001.0000.000NaN0.560NaN
지상층수0.1750.0000.5640.2940.0001.0000.1890.0000.559
지하층수0.0000.2830.1720.153NaN0.1891.0000.0000.117
세대수0.3230.5740.4250.3980.5600.0000.0001.0000.000
가구수0.0000.8060.9150.000NaN0.5590.1170.0001.000
2024-04-21T00:42:51.234127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지상층수지하층수(층)주용도코드명세대수주용도코드명
지상층수1.0000.2290.0000.0000.204
지하층수0.2291.0001.0000.0000.252
(층)주용도코드명0.0001.0001.0000.6600.992
세대수0.0000.0000.6601.0000.330
주용도코드명0.2040.2520.9920.3301.000
2024-04-21T00:42:51.410686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대지면적건축면적가구수주용도코드명(층)주용도코드명지상층수지하층수세대수
연번1.000-0.0160.0310.0280.0730.0000.0700.0000.125
대지면적-0.0161.0000.5690.4700.0001.0000.0000.2000.496
건축면적0.0310.5691.0000.6790.0000.0000.3660.1800.300
가구수0.0280.4700.6791.0000.0001.0000.3610.1220.000
주용도코드명0.0730.0000.0000.0001.0000.9920.2040.2520.330
(층)주용도코드명0.0001.0000.0001.0000.9921.0000.0001.0000.660
지상층수0.0700.0000.3660.3610.2040.0001.0000.2290.000
지하층수0.0000.2000.1800.1220.2521.0000.2291.0000.000
세대수0.1250.4960.3000.0000.3300.6600.0000.0001.000

Missing values

2024-04-21T00:42:37.362751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T00:42:37.694848image/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.
2024-04-21T00:42:38.042041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번대지위치주소도로명주소대지면적건축면적주용도코드명(층)주용도코드명지상층수지하층수세대수가구수
01강원특별자치도 철원군 동송읍 이평리 0839-0009강원특별자치도 철원군 동송읍 금학로187번안길 23-14<NA>553.08공동주택다세대주택2<NA>32<NA>
12강원특별자치도 철원군 동송읍 장흥리 3017강원특별자치도 철원군 동송읍 창동로 2297660.0182.47단독주택다가구주택2012
23강원특별자치도 철원군 동송읍 이평리 0858-0094강원특별자치도 철원군 동송읍 이평로111번길 3-81364.0605.52단독주택다가구주택30020
34강원특별자치도 철원군 갈말읍 군탄리 0964-0001강원특별자치도 철원군 갈말읍 명성로179번길 220.0381.66단독주택다가구주택30018
45강원특별자치도 철원군 갈말읍 지포리 0112-0005강원특별자치도 철원군 갈말읍 명성로 135-18207.0103.46단독주택다가구주택10<NA>2
56강원특별자치도 철원군 서면 자등리 0587-0004강원특별자치도 철원군 서면 석현동길 543984.0176.26단독주택다가구주택10<NA>4
67강원특별자치도 철원군 서면 자등리 0016-0002강원특별자치도 철원군 서면 솔골길 190<NA>203.76단독주택다가구주택10<NA>7
78강원특별자치도 철원군 서면 와수리 1160-0005강원특별자치도 철원군 서면 와수로166번길 13290.0140.82단독주택다가구주택31<NA>3
89강원특별자치도 철원군 서면 와수리 1139-0033강원특별자치도 철원군 서면 와수1로 1498.0260.38제1종근린생활시설다가구주택2003
910강원특별자치도 철원군 동송읍 이평리 0853-0069강원특별자치도 철원군 동송읍 이평로56번길 5777.24573.81단독주택다가구주택3<NA><NA>24
연번대지위치주소도로명주소대지면적건축면적주용도코드명(층)주용도코드명지상층수지하층수세대수가구수
233234강원특별자치도 철원군 동송읍 상노리 0830-0004강원특별자치도 철원군 동송읍 담터길 1741599.0302.19단독주택다가구주택3<NA><NA>6
234235강원특별자치도 철원군 갈말읍 지포리 0090-0006강원특별자치도 철원군 갈말읍 명성로139번안길 9-1<NA>213.2단독주택다가구주택2<NA><NA>8
235236강원특별자치도 철원군 서면 자등리 0310강원특별자치도 철원군 서면 송동길 69315.01864.08단독주택다가구주택2<NA><NA>72
236237강원특별자치도 철원군 서면 와수리 1140-0037강원특별자치도 철원군 서면 와수로159번길 5230.0183.88단독주택다가구주택2007
237238강원특별자치도 철원군 갈말읍 문혜리 1109-0013강원특별자치도 철원군 갈말읍 문혜2길 11528.0311.16단독주택다가구주택2004
238239강원특별자치도 철원군 철원읍 화지리 0129-0025강원특별자치도 철원군 철원읍 금학로 313-3443.0148.05단독주택다가구주택2<NA><NA>3
239240강원특별자치도 철원군 갈말읍 문혜리 0693-0017강원특별자치도 철원군 갈말읍 두루미로 5-121590.82528.9단독주택다가구주택2008
240241강원특별자치도 철원군 서면 와수리 1047강원특별자치도 철원군 서면 와수로216번길 37-15<NA>311.97단독주택다가구주택21<NA>6
241242강원특별자치도 철원군 갈말읍 군탄리 1078-0004강원특별자치도 철원군 갈말읍 호국로 4829-35<NA>132.3단독주택다가구주택20<NA>2
242243강원특별자치도 철원군 동송읍 이평리 0850-0001강원특별자치도 철원군 동송읍 금학로229번길 15382.0190.46단독주택다가구주택20<NA>6