Overview

Dataset statistics

Number of variables6
Number of observations55
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory55.4 B

Variable types

Categorical3
Numeric3

Dataset

Description서울주택도시공사의 시설물을 이용한 이용자들 대상으로 조사했던 설문지 내역입니다. 통계성 자료로서 설문버전, 질문번호, 답변번호, 해당 번호에 대한 응답자 수를 포함한 파일데이터 입니다.
URLhttps://www.data.go.kr/data/15118786/fileData.do

Alerts

점수 is highly overall correlated with 해당응답자 수 and 2 other fieldsHigh correlation
해당응답자 수 is highly overall correlated with 점수High correlation
답변번호 is highly overall correlated with 점수 and 1 other fieldsHigh correlation
답변내용 is highly overall correlated with 점수 and 1 other fieldsHigh correlation
해당응답자 수 has 1 (1.8%) zerosZeros

Reproduction

Analysis started2023-12-12 12:45:44.246840
Analysis finished2023-12-12 12:45:46.032241
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설문버전
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
2
30 
1
25 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 30
54.5%
1 25
45.5%

Length

2023-12-12T21:45:46.120401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:45:46.229422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 30
54.5%
1 25
45.5%

질문번호
Real number (ℝ)

Distinct6
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2727273
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T21:45:46.342021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6153723
Coefficient of variation (CV)0.49358598
Kurtosis-1.1635287
Mean3.2727273
Median Absolute Deviation (MAD)1
Skewness0.084775884
Sum180
Variance2.6094276
MonotonicityNot monotonic
2023-12-12T21:45:46.451725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 10
18.2%
2 10
18.2%
3 10
18.2%
4 10
18.2%
5 10
18.2%
6 5
9.1%
ValueCountFrequency (%)
1 10
18.2%
2 10
18.2%
3 10
18.2%
4 10
18.2%
5 10
18.2%
6 5
9.1%
ValueCountFrequency (%)
6 5
9.1%
5 10
18.2%
4 10
18.2%
3 10
18.2%
2 10
18.2%
1 10
18.2%

답변번호
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
11 
2
11 
3
11 
4
11 
5
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5

Common Values

ValueCountFrequency (%)
1 11
20.0%
2 11
20.0%
3 11
20.0%
4 11
20.0%
5 11
20.0%

Length

2023-12-12T21:45:46.595477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:45:46.742554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 11
20.0%
2 11
20.0%
3 11
20.0%
4 11
20.0%
5 11
20.0%

답변내용
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size572.0 B
매우 불만족
11 
불만족
11 
보통
11 
만족
11 
매우 만족
11 

Length

Max length6
Median length5
Mean length3.6
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row매우 불만족
2nd row불만족
3rd row보통
4th row만족
5th row매우 만족

Common Values

ValueCountFrequency (%)
매우 불만족 11
20.0%
불만족 11
20.0%
보통 11
20.0%
만족 11
20.0%
매우 만족 11
20.0%

Length

2023-12-12T21:45:46.889777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:45:47.025954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
매우 22
28.6%
불만족 22
28.6%
만족 22
28.6%
보통 11
14.3%

점수
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.909091
Minimum2
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T21:45:47.143759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median10
Q316
95-th percentile20
Maximum20
Range18
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.796783
Coefficient of variation (CV)0.53137178
Kurtosis-1.2103399
Mean10.909091
Median Absolute Deviation (MAD)6
Skewness0.23775742
Sum600
Variance33.602694
MonotonicityNot monotonic
2023-12-12T21:45:47.311290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 11
20.0%
8 11
20.0%
12 9
16.4%
16 9
16.4%
20 9
16.4%
6 2
 
3.6%
10 2
 
3.6%
2 2
 
3.6%
ValueCountFrequency (%)
2 2
 
3.6%
4 11
20.0%
6 2
 
3.6%
8 11
20.0%
10 2
 
3.6%
12 9
16.4%
16 9
16.4%
20 9
16.4%
ValueCountFrequency (%)
20 9
16.4%
16 9
16.4%
12 9
16.4%
10 2
 
3.6%
8 11
20.0%
6 2
 
3.6%
4 11
20.0%
2 2
 
3.6%

해당응답자 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct50
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean859.8
Minimum0
Maximum4806
Zeros1
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T21:45:47.459662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.7
Q117
median125
Q3475.5
95-th percentile3749
Maximum4806
Range4806
Interquartile range (IQR)458.5

Descriptive statistics

Standard deviation1427.2737
Coefficient of variation (CV)1.6600067
Kurtosis0.79758629
Mean859.8
Median Absolute Deviation (MAD)116
Skewness1.5455365
Sum47289
Variance2037110.3
MonotonicityNot monotonic
2023-12-12T21:45:47.610945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 3
 
5.5%
5 2
 
3.6%
6 2
 
3.6%
1 2
 
3.6%
2578 1
 
1.8%
3094 1
 
1.8%
3784 1
 
1.8%
68 1
 
1.8%
482 1
 
1.8%
670 1
 
1.8%
Other values (40) 40
72.7%
ValueCountFrequency (%)
0 1
 
1.8%
1 2
3.6%
2 1
 
1.8%
5 2
3.6%
6 2
3.6%
9 3
5.5%
13 1
 
1.8%
15 1
 
1.8%
16 1
 
1.8%
18 1
 
1.8%
ValueCountFrequency (%)
4806 1
1.8%
4525 1
1.8%
3784 1
1.8%
3734 1
1.8%
3534 1
1.8%
3315 1
1.8%
3308 1
1.8%
3096 1
1.8%
3094 1
1.8%
3057 1
1.8%

Interactions

2023-12-12T21:45:45.166944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:44.509249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:44.822675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:45.281095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:44.601220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:44.932824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:45.393508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:44.706139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:45:45.056732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:45:47.709608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설문버전질문번호답변번호답변내용점수해당응답자 수
설문버전1.0000.0000.0000.0000.0000.633
질문번호0.0001.0000.0000.0000.0000.000
답변번호0.0000.0001.0000.9930.9290.502
답변내용0.0000.0000.9931.0000.9420.398
점수0.0000.0000.9290.9421.0000.641
해당응답자 수0.6330.0000.5020.3980.6411.000
2023-12-12T21:45:47.830454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
답변내용설문버전답변번호
답변내용1.0000.0000.881
설문버전0.0001.0000.000
답변번호0.8810.0001.000
2023-12-12T21:45:47.956577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
질문번호점수해당응답자 수설문버전답변번호답변내용
질문번호1.000-0.1530.0300.0000.0000.000
점수-0.1531.0000.5190.0000.8580.883
해당응답자 수0.0300.5191.0000.4420.3630.277
설문버전0.0000.0000.4421.0000.0000.000
답변번호0.0000.8580.3630.0001.0000.881
답변내용0.0000.8830.2770.0000.8811.000

Missing values

2023-12-12T21:45:45.850106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:45:45.978078image/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

설문버전질문번호답변번호답변내용점수해당응답자 수
0111매우 불만족45
1112불만족86
2113보통1233
3114만족16118
4115매우 만족20200
5121매우 불만족49
6122불만족813
7123보통1239
8124만족16124
9125매우 만족20177
설문버전질문번호답변번호답변내용점수해당응답자 수
45251매우 불만족218
46252불만족467
47253보통6248
48254만족82717
49255매우 만족104525
50261매우 불만족423
51262불만족8238
52263보통12469
53264만족163315
54265매우 만족203534