Overview

Dataset statistics

Number of variables7
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory62.6 B

Variable types

Numeric4
Categorical3

Dataset

Description이재민 등이 주거시설을 상실하거나 사실상 주거가 불가능한 경우 제공하기 위해 지정한 임시주거시설 현황 제공(시설명, 위치 등)
URLhttps://www.data.go.kr/data/3059490/fileData.do

Alerts

자료시점 has constant value ""Constant
순번 is highly overall correlated with 개소 and 3 other fieldsHigh correlation
개소 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
면적(제곱미터) is highly overall correlated with 순번 and 2 other fieldsHigh correlation
수용능력 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
시설구분 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
면적(제곱미터) has unique valuesUnique
수용능력 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:33:37.311110
Analysis finished2023-12-12 12:33:39.985674
Duration2.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T21:33:40.118717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median26
Q338.5
95-th percentile48.5
Maximum51
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2023-12-12T21:33:40.434924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
51 1
2.0%
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%

자료시점
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-06-15
51 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-15
2nd row2023-06-15
3rd row2023-06-15
4th row2023-06-15
5th row2023-06-15

Common Values

ValueCountFrequency (%)
2023-06-15 51
100.0%

Length

2023-12-12T21:33:40.621753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:33:40.761208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-15 51
100.0%

지역
Categorical

Distinct17
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size540.0 B
서울특별시
 
3
부산광역시
 
3
대구광역시
 
3
인천광역시
 
3
광주광역시
 
3
Other values (12)
36 

Length

Max length7
Median length5
Mean length4.8823529
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시
2nd row부산광역시
3rd row대구광역시
4th row인천광역시
5th row광주광역시

Common Values

ValueCountFrequency (%)
서울특별시 3
 
5.9%
부산광역시 3
 
5.9%
대구광역시 3
 
5.9%
인천광역시 3
 
5.9%
광주광역시 3
 
5.9%
대전광역시 3
 
5.9%
울산광역시 3
 
5.9%
세종특별자치시 3
 
5.9%
경기도 3
 
5.9%
충청북도 3
 
5.9%
Other values (7) 21
41.2%

Length

2023-12-12T21:33:40.936397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 3
 
5.9%
충청북도 3
 
5.9%
제주특별자치도 3
 
5.9%
경상남도 3
 
5.9%
경상북도 3
 
5.9%
전라남도 3
 
5.9%
전라북도 3
 
5.9%
충청남도 3
 
5.9%
경기도 3
 
5.9%
부산광역시 3
 
5.9%
Other values (7) 21
41.2%

시설구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
이재민 임시주거시설
17 
지진겸용 임시주거시설
17 
마을회관
17 

Length

Max length11
Median length10
Mean length8.3333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row이재민 임시주거시설
2nd row이재민 임시주거시설
3rd row이재민 임시주거시설
4th row이재민 임시주거시설
5th row이재민 임시주거시설

Common Values

ValueCountFrequency (%)
이재민 임시주거시설 17
33.3%
지진겸용 임시주거시설 17
33.3%
마을회관 17
33.3%

Length

2023-12-12T21:33:41.162905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:33:41.350495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
임시주거시설 34
40.0%
이재민 17
20.0%
지진겸용 17
20.0%
마을회관 17
20.0%

개소
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean451.37255
Minimum1
Maximum3187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T21:33:41.532204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q196.5
median275
Q3509.5
95-th percentile1548
Maximum3187
Range3186
Interquartile range (IQR)413

Descriptive statistics

Standard deviation587.93078
Coefficient of variation (CV)1.3025399
Kurtosis8.9063965
Mean451.37255
Median Absolute Deviation (MAD)214
Skewness2.6514852
Sum23020
Variance345662.6
MonotonicityNot monotonic
2023-12-12T21:33:41.744428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 3
 
5.9%
38 2
 
3.9%
1166 1
 
2.0%
22 1
 
2.0%
335 1
 
2.0%
322 1
 
2.0%
280 1
 
2.0%
496 1
 
2.0%
470 1
 
2.0%
242 1
 
2.0%
Other values (38) 38
74.5%
ValueCountFrequency (%)
1 3
5.9%
3 1
 
2.0%
6 1
 
2.0%
22 1
 
2.0%
26 1
 
2.0%
38 2
3.9%
41 1
 
2.0%
61 1
 
2.0%
77 1
 
2.0%
95 1
 
2.0%
ValueCountFrequency (%)
3187 1
2.0%
1777 1
2.0%
1731 1
2.0%
1365 1
2.0%
1307 1
2.0%
1175 1
2.0%
1166 1
2.0%
823 1
2.0%
797 1
2.0%
765 1
2.0%

면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean476709.17
Minimum115
Maximum2402924.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T21:33:41.963427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum115
5-th percentile607
Q130098.185
median187105.63
Q3585971.45
95-th percentile1806724.5
Maximum2402924.6
Range2402809.6
Interquartile range (IQR)555873.26

Descriptive statistics

Standard deviation630618.87
Coefficient of variation (CV)1.3228587
Kurtosis1.8565838
Mean476709.17
Median Absolute Deviation (MAD)184551.49
Skewness1.6413369
Sum24312168
Variance3.9768016 × 1011
MonotonicityNot monotonic
2023-12-12T21:33:42.199035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1933105.25 1
 
2.0%
576462.3 1
 
2.0%
544667.16 1
 
2.0%
621278.33 1
 
2.0%
649390.48 1
 
2.0%
593713.18 1
 
2.0%
46912.97 1
 
2.0%
296572.93 1
 
2.0%
441.93 1
 
2.0%
11706.0 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
115.0 1
2.0%
441.93 1
2.0%
551.0 1
2.0%
663.0 1
2.0%
802.83 1
2.0%
2554.14 1
2.0%
4162.6 1
2.0%
6994.0 1
2.0%
9499.79 1
2.0%
11706.0 1
2.0%
ValueCountFrequency (%)
2402924.62 1
2.0%
2240725.2 1
2.0%
1933105.25 1
2.0%
1680343.69 1
2.0%
1642790.58 1
2.0%
1467739.94 1
2.0%
1437733.6 1
2.0%
1344591.89 1
2.0%
1127165.76 1
2.0%
709279.15 1
2.0%

수용능력
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160577.22
Minimum44
Maximum900032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T21:33:42.486157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile205.5
Q111060.5
median67550
Q3209946
95-th percentile605041
Maximum900032
Range899988
Interquartile range (IQR)198885.5

Descriptive statistics

Standard deviation209188.73
Coefficient of variation (CV)1.3027298
Kurtosis2.8390378
Mean160577.22
Median Absolute Deviation (MAD)66579
Skewness1.7682674
Sum8189438
Variance4.3759925 × 1010
MonotonicityNot monotonic
2023-12-12T21:33:42.966138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
656020 1
 
2.0%
200407 1
 
2.0%
201203 1
 
2.0%
223707 1
 
2.0%
231584 1
 
2.0%
218689 1
 
2.0%
14914 1
 
2.0%
109639 1
 
2.0%
158 1
 
2.0%
4380 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
44 1
2.0%
158 1
2.0%
200 1
2.0%
211 1
2.0%
302 1
2.0%
971 1
2.0%
1591 1
2.0%
2633 1
2.0%
2998 1
2.0%
3854 1
2.0%
ValueCountFrequency (%)
900032 1
2.0%
695046 1
2.0%
656020 1
2.0%
554062 1
2.0%
504270 1
2.0%
502040 1
2.0%
402774 1
2.0%
399482 1
2.0%
342270 1
2.0%
261341 1
2.0%

Interactions

2023-12-12T21:33:39.125508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:33:37.658556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:33:38.134696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:33:38.620199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:33:39.245819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:33:37.771148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:33:38.256866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:33:38.751872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:33:39.373094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:33:37.896528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:33:38.391737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:33:38.873415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:33:39.494887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:33:38.022053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:33:38.509692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:33:39.011883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:33:43.194533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번지역시설구분개소면적(제곱미터)수용능력
순번1.0000.0000.9290.5740.5320.337
지역0.0001.0000.0000.2560.2580.290
시설구분0.9290.0001.0000.3110.6010.757
개소0.5740.2560.3111.0000.8340.883
면적(제곱미터)0.5320.2580.6010.8341.0000.940
수용능력0.3370.2900.7570.8830.9401.000
2023-12-12T21:33:43.476133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분지역
시설구분1.0000.000
지역0.0001.000
2023-12-12T21:33:44.080175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번개소면적(제곱미터)수용능력지역시설구분
순번1.000-0.540-0.680-0.6710.0000.855
개소-0.5401.0000.9010.8980.0610.205
면적(제곱미터)-0.6800.9011.0000.9970.0500.441
수용능력-0.6710.8980.9971.0000.0650.429
지역0.0000.0610.0500.0651.0000.000
시설구분0.8550.2050.4410.4290.0001.000

Missing values

2023-12-12T21:33:39.685844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:33:39.902998image/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

순번자료시점지역시설구분개소면적(제곱미터)수용능력
012023-06-15서울특별시이재민 임시주거시설11661933105.25656020
122023-06-15부산광역시이재민 임시주거시설494576462.3200407
232023-06-15대구광역시이재민 임시주거시설276373056.01135515
342023-06-15인천광역시이재민 임시주거시설524523623.18181341
452023-06-15광주광역시이재민 임시주거시설175201350.5177539
562023-06-15대전광역시이재민 임시주거시설206187105.6362282
672023-06-15울산광역시이재민 임시주거시설290179616.066955
782023-06-15세종특별자치시이재민 임시주거시설15580792.7831007
892023-06-15경기도이재민 임시주거시설31872402924.62900032
9102023-06-15충청북도이재민 임시주거시설823522121.51184465
순번자료시점지역시설구분개소면적(제곱미터)수용능력
41422023-06-15세종특별자치시마을회관262554.14971
42432023-06-15경기도마을회관52382223.6631253
43442023-06-15충청북도마을회관779499.792998
44452023-06-15충청남도마을회관27535441.7712987
45462023-06-15전라북도마을회관6802.83302
46472023-06-15전라남도마을회관48374533.3625184
47482023-06-15경상북도마을회관17124754.69134
48492023-06-15경상남도마을회관42557253.1522327
49502023-06-15제주특별자치도마을회관3812551.833854
50512023-06-15강원특별자치도마을회관9815187.275672