Overview

Dataset statistics

Number of variables24
Number of observations50
Missing cells20
Missing cells (%)1.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.6 KiB
Average record size in memory216.6 B

Variable types

Categorical1
Text1
Numeric22

Dataset

Description인천광역시에서 현재 거주지로 왜 선택했는지에 대한 이유를 조사하여 (경제적 여건, 직장, 사업, 배우자 등) 등의 항목을 제공하는 자료입니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15066304&srcSe=7661IVAWM27C61E190

Alerts

1순위_배우자나 부모 자녀를 따라서 has 1 (2.0%) missing valuesMissing
1순위_교통이 편리해서 has 1 (2.0%) missing valuesMissing
1순위_편의시설 때문에 has 3 (6.0%) missing valuesMissing
1순위_자녀 또는 본인의 학업 때문에 has 1 (2.0%) missing valuesMissing
1순위_경제적 가치상승을 고려하여 has 3 (6.0%) missing valuesMissing
1순위_교육여건이 좋아서 has 3 (6.0%) missing valuesMissing
1순위_기타 has 1 (2.0%) missing valuesMissing
1_2순위_배우자나 부모 자녀를 따라서 has 1 (2.0%) missing valuesMissing
1_2순위_경제적 가치상승을 고려하여 has 2 (4.0%) missing valuesMissing
1_2순위_편의시설 때문에 has 1 (2.0%) missing valuesMissing
1_2순위_교육여건이 좋아서 has 3 (6.0%) missing valuesMissing
특성별(2) has unique valuesUnique

Reproduction

Analysis started2024-01-28 13:42:10.318409
Analysis finished2024-01-28 13:42:10.505300
Duration0.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

특성별(1)
Categorical

Distinct9
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
군구별
10 
직업별
8 
월평균소득별
8 
연령별
6 
가구원수별
5 
Other values (4)
13 

Length

Max length7
Median length3
Mean length4.04
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
군구별 10
20.0%
직업별 8
16.0%
월평균소득별 8
16.0%
연령별 6
12.0%
가구원수별 5
10.0%
학력별 4
 
8.0%
주거형태별 4
 
8.0%
주거점유형태별 3
 
6.0%
성별 2
 
4.0%

Length

2024-01-28T22:42:10.557311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:42:10.649050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
군구별 10
20.0%
직업별 8
16.0%
월평균소득별 8
16.0%
연령별 6
12.0%
가구원수별 5
10.0%
학력별 4
 
8.0%
주거형태별 4
 
8.0%
주거점유형태별 3
 
6.0%
성별 2
 
4.0%

특성별(2)
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-01-28T22:42:10.832235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length7.5
Mean length4.92
Min length2

Characters and Unicode

Total characters246
Distinct characters76
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st row중구
2nd row동구
3rd row미추홀구
4th row연수구
5th row남동구
ValueCountFrequency (%)
미만 7
 
9.7%
5
 
6.9%
이상 3
 
4.2%
기타 2
 
2.8%
중구 1
 
1.4%
기능노무 1
 
1.4%
4인 1
 
1.4%
학생 1
 
1.4%
주부 1
 
1.4%
무직/기타 1
 
1.4%
Other values (49) 49
68.1%
2024-01-28T22:42:11.123084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33
 
13.4%
22
 
8.9%
만 15
 
6.1%
~ 11
 
4.5%
세 9
 
3.7%
원 8
 
3.3%
구 8
 
3.3%
미 8
 
3.3%
3 6
 
2.4%
인 5
 
2.0%
Other values (66) 121
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 142
57.7%
Decimal Number 69
28.0%
Space Separator 22
 
8.9%
Math Symbol 11
 
4.5%
Other Punctuation 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
만 15
 
10.6%
세 9
 
6.3%
원 8
 
5.6%
구 8
 
5.6%
미 8
 
5.6%
인 5
 
3.5%
이 5
 
3.5%
상 4
 
2.8%
기 4
 
2.8%
졸 4
 
2.8%
Other values (54) 72
50.7%
Decimal Number
ValueCountFrequency (%)
0 33
47.8%
3 6
 
8.7%
9 5
 
7.2%
5 5
 
7.2%
4 5
 
7.2%
2 5
 
7.2%
1 5
 
7.2%
6 3
 
4.3%
7 2
 
2.9%
Space Separator
ValueCountFrequency (%)
22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 142
57.7%
Common 104
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
만 15
 
10.6%
세 9
 
6.3%
원 8
 
5.6%
구 8
 
5.6%
미 8
 
5.6%
인 5
 
3.5%
이 5
 
3.5%
상 4
 
2.8%
기 4
 
2.8%
졸 4
 
2.8%
Other values (54) 72
50.7%
Common
ValueCountFrequency (%)
0 33
31.7%
22
21.2%
~ 11
 
10.6%
3 6
 
5.8%
9 5
 
4.8%
5 5
 
4.8%
4 5
 
4.8%
2 5
 
4.8%
1 5
 
4.8%
6 3
 
2.9%
Other values (2) 4
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 142
57.7%
ASCII 104
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33
31.7%
22
21.2%
~ 11
 
10.6%
3 6
 
5.8%
9 5
 
4.8%
5 5
 
4.8%
4 5
 
4.8%
2 5
 
4.8%
1 5
 
4.8%
6 3
 
2.9%
Other values (2) 4
 
3.8%
Hangul
ValueCountFrequency (%)
만 15
 
10.6%
세 9
 
6.3%
원 8
 
5.6%
구 8
 
5.6%
미 8
 
5.6%
인 5
 
3.5%
이 5
 
3.5%
상 4
 
2.8%
기 4
 
2.8%
졸 4
 
2.8%
Other values (54) 72
50.7%

1순위_경제적 여건에 맞춰서
Real number (ℝ)

Distinct44
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.702
Minimum2
Maximum28.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:11.234788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6.205
Q115.125
median18.25
Q320.95
95-th percentile26.12
Maximum28.7
Range26.7
Interquartile range (IQR)5.825

Descriptive statistics

Standard deviation5.6320327
Coefficient of variation (CV)0.31815799
Kurtosis0.9125767
Mean17.702
Median Absolute Deviation (MAD)3.1
Skewness-0.80286859
Sum885.1
Variance31.719792
MonotonicityNot monotonic
2024-01-28T22:42:11.344862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
20.2 3
 
6.0%
16.5 2
 
4.0%
22.3 2
 
4.0%
20.8 2
 
4.0%
20.7 2
 
4.0%
14.7 1
 
2.0%
10.9 1
 
2.0%
19.1 1
 
2.0%
23.0 1
 
2.0%
26.8 1
 
2.0%
Other values (34) 34
68.0%
ValueCountFrequency (%)
2.0 1
2.0%
3.9 1
2.0%
5.8 1
2.0%
6.7 1
2.0%
9.7 1
2.0%
10.1 1
2.0%
10.9 1
2.0%
12.6 1
2.0%
14.0 1
2.0%
14.2 1
2.0%
ValueCountFrequency (%)
28.7 1
2.0%
26.8 1
2.0%
26.3 1
2.0%
25.9 1
2.0%
24.0 1
2.0%
23.0 1
2.0%
22.3 2
4.0%
22.1 1
2.0%
21.8 1
2.0%
21.6 1
2.0%

1순위_옛날부터 살던 곳이라서
Real number (ℝ)

Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.212
Minimum4.7
Maximum67.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:11.451504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.7
5-th percentile14.94
Q125.6
median29.55
Q336.8
95-th percentile51.68
Maximum67.8
Range63.1
Interquartile range (IQR)11.2

Descriptive statistics

Standard deviation11.218091
Coefficient of variation (CV)0.35941596
Kurtosis1.9838857
Mean31.212
Median Absolute Deviation (MAD)5.7
Skewness0.65343677
Sum1560.6
Variance125.84557
MonotonicityNot monotonic
2024-01-28T22:42:11.565208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
28.3 2
 
4.0%
27.8 2
 
4.0%
32.7 1
 
2.0%
44.0 1
 
2.0%
35.1 1
 
2.0%
39.9 1
 
2.0%
39.6 1
 
2.0%
37.9 1
 
2.0%
28.6 1
 
2.0%
28.2 1
 
2.0%
Other values (38) 38
76.0%
ValueCountFrequency (%)
4.7 1
2.0%
9.4 1
2.0%
11.7 1
2.0%
18.9 1
2.0%
19.2 1
2.0%
20.9 1
2.0%
21.2 1
2.0%
22.1 1
2.0%
22.6 1
2.0%
22.8 1
2.0%
ValueCountFrequency (%)
67.8 1
2.0%
55.6 1
2.0%
54.2 1
2.0%
48.6 1
2.0%
44.0 1
2.0%
42.1 1
2.0%
41.6 1
2.0%
41.4 1
2.0%
39.9 1
2.0%
39.6 1
2.0%

1순위_사업상 또는 직장 때문에
Real number (ℝ)

Distinct43
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.16
Minimum3.2
Maximum34.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:11.685305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile6.97
Q114.35
median21.9
Q324.825
95-th percentile30.71
Maximum34.9
Range31.7
Interquartile range (IQR)10.475

Descriptive statistics

Standard deviation7.7908895
Coefficient of variation (CV)0.38645285
Kurtosis-0.68194785
Mean20.16
Median Absolute Deviation (MAD)6.3
Skewness-0.27372598
Sum1008
Variance60.697959
MonotonicityNot monotonic
2024-01-28T22:42:11.794246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
9.9 3
 
6.0%
15.6 2
 
4.0%
30.6 2
 
4.0%
14.0 2
 
4.0%
18.4 2
 
4.0%
24.3 2
 
4.0%
8.4 1
 
2.0%
5.5 1
 
2.0%
21.4 1
 
2.0%
26.1 1
 
2.0%
Other values (33) 33
66.0%
ValueCountFrequency (%)
3.2 1
 
2.0%
5.5 1
 
2.0%
5.8 1
 
2.0%
8.4 1
 
2.0%
9.9 3
6.0%
11.0 1
 
2.0%
11.1 1
 
2.0%
11.3 1
 
2.0%
11.7 1
 
2.0%
14.0 2
4.0%
ValueCountFrequency (%)
34.9 1
2.0%
32.5 1
2.0%
30.8 1
2.0%
30.6 2
4.0%
30.0 1
2.0%
29.9 1
2.0%
29.4 1
2.0%
29.1 1
2.0%
28.5 1
2.0%
26.1 1
2.0%

1순위_배우자나 부모 자녀를 따라서
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)63.3%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean12.163265
Minimum4.1
Maximum19.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:11.897589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile7.72
Q110.9
median11.9
Q313.4
95-th percentile16.08
Maximum19.3
Range15.2
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.7100656
Coefficient of variation (CV)0.22280741
Kurtosis1.8009351
Mean12.163265
Median Absolute Deviation (MAD)1.2
Skewness-0.012423579
Sum596
Variance7.3444558
MonotonicityNot monotonic
2024-01-28T22:42:12.020262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
11.5 5
 
10.0%
10.9 4
 
8.0%
12.7 4
 
8.0%
13.1 3
 
6.0%
10.4 3
 
6.0%
10.8 2
 
4.0%
14.5 2
 
4.0%
13.4 2
 
4.0%
11.9 2
 
4.0%
19.0 1
 
2.0%
Other values (21) 21
42.0%
ValueCountFrequency (%)
4.1 1
 
2.0%
7.3 1
 
2.0%
7.6 1
 
2.0%
7.9 1
 
2.0%
8.2 1
 
2.0%
9.6 1
 
2.0%
10.4 3
6.0%
10.6 1
 
2.0%
10.8 2
4.0%
10.9 4
8.0%
ValueCountFrequency (%)
19.3 1
2.0%
19.0 1
2.0%
16.2 1
2.0%
15.9 1
2.0%
15.4 1
2.0%
15.0 1
2.0%
14.5 2
4.0%
14.2 1
2.0%
14.0 1
2.0%
13.9 1
2.0%

1순위_교통이 편리해서
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)65.3%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean5.3857143
Minimum0.1
Maximum28.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:12.133111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile1.72
Q13.7
median5.1
Q36
95-th percentile8.82
Maximum28.1
Range28
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation3.8307419
Coefficient of variation (CV)0.71127833
Kurtosis26.255912
Mean5.3857143
Median Absolute Deviation (MAD)1.3
Skewness4.4139644
Sum263.9
Variance14.674583
MonotonicityNot monotonic
2024-01-28T22:42:12.230386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
5.8 6
 
12.0%
5.0 4
 
8.0%
3.1 3
 
6.0%
5.7 3
 
6.0%
6.0 2
 
4.0%
6.8 2
 
4.0%
3.5 2
 
4.0%
4.1 2
 
4.0%
6.6 2
 
4.0%
6.4 1
 
2.0%
Other values (22) 22
44.0%
ValueCountFrequency (%)
0.1 1
 
2.0%
1.1 1
 
2.0%
1.6 1
 
2.0%
1.9 1
 
2.0%
2.0 1
 
2.0%
2.4 1
 
2.0%
3.1 3
6.0%
3.2 1
 
2.0%
3.5 2
4.0%
3.7 1
 
2.0%
ValueCountFrequency (%)
28.1 1
2.0%
9.6 1
2.0%
9.3 1
2.0%
8.1 1
2.0%
6.8 2
4.0%
6.7 1
2.0%
6.6 2
4.0%
6.5 1
2.0%
6.4 1
2.0%
6.3 1
2.0%

1순위_환경이나 건강 때문에
Real number (ℝ)

Distinct33
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.404
Minimum1.1
Maximum19.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:12.327728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1
5-th percentile2.045
Q13.125
median3.85
Q34.475
95-th percentile8.785
Maximum19.9
Range18.8
Interquartile range (IQR)1.35

Descriptive statistics

Standard deviation3.0603428
Coefficient of variation (CV)0.69490072
Kurtosis15.215684
Mean4.404
Median Absolute Deviation (MAD)0.65
Skewness3.599298
Sum220.2
Variance9.365698
MonotonicityNot monotonic
2024-01-28T22:42:12.432527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
4.1 3
 
6.0%
3.3 3
 
6.0%
3.9 3
 
6.0%
3.5 3
 
6.0%
4.2 3
 
6.0%
3.7 3
 
6.0%
2.4 2
 
4.0%
2.5 2
 
4.0%
4.5 2
 
4.0%
4.3 2
 
4.0%
Other values (23) 24
48.0%
ValueCountFrequency (%)
1.1 1
2.0%
1.7 1
2.0%
2.0 1
2.0%
2.1 1
2.0%
2.4 2
4.0%
2.5 2
4.0%
2.7 1
2.0%
2.8 2
4.0%
3.0 1
2.0%
3.1 1
2.0%
ValueCountFrequency (%)
19.9 1
2.0%
14.7 1
2.0%
9.1 1
2.0%
8.4 1
2.0%
6.7 1
2.0%
5.2 1
2.0%
5.1 1
2.0%
5.0 1
2.0%
4.9 1
2.0%
4.8 1
2.0%

1순위_편의시설 때문에
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)48.9%
Missing3
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean2.2553191
Minimum0.2
Maximum4.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:12.541451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.79
Q11.9
median2.3
Q32.7
95-th percentile3.79
Maximum4.8
Range4.6
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation0.86647926
Coefficient of variation (CV)0.38419363
Kurtosis1.3099549
Mean2.2553191
Median Absolute Deviation (MAD)0.4
Skewness0.23553791
Sum106
Variance0.75078631
MonotonicityNot monotonic
2024-01-28T22:42:12.639892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2.4 8
16.0%
1.9 4
 
8.0%
2.3 4
 
8.0%
2.2 4
 
8.0%
3.0 3
 
6.0%
2.8 3
 
6.0%
1.0 2
 
4.0%
1.6 2
 
4.0%
4.0 2
 
4.0%
2.7 2
 
4.0%
Other values (13) 13
26.0%
(Missing) 3
 
6.0%
ValueCountFrequency (%)
0.2 1
 
2.0%
0.6 1
 
2.0%
0.7 1
 
2.0%
1.0 2
4.0%
1.2 1
 
2.0%
1.3 1
 
2.0%
1.5 1
 
2.0%
1.6 2
4.0%
1.8 1
 
2.0%
1.9 4
8.0%
ValueCountFrequency (%)
4.8 1
 
2.0%
4.0 2
 
4.0%
3.3 1
 
2.0%
3.2 1
 
2.0%
3.0 3
 
6.0%
2.8 3
 
6.0%
2.7 2
 
4.0%
2.5 1
 
2.0%
2.4 8
16.0%
2.3 4
8.0%

1순위_자녀 또는 본인의 학업 때문에
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)59.2%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean3.5183673
Minimum0.2
Maximum51.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:12.739414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.8
Q11.3
median2
Q32.8
95-th percentile8.96
Maximum51.2
Range51
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation7.5612409
Coefficient of variation (CV)2.1490766
Kurtosis34.620396
Mean3.5183673
Median Absolute Deviation (MAD)0.7
Skewness5.656292
Sum172.4
Variance57.172364
MonotonicityNot monotonic
2024-01-28T22:42:12.838261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2.4 5
 
10.0%
1.4 4
 
8.0%
1.0 3
 
6.0%
1.1 3
 
6.0%
1.3 3
 
6.0%
1.7 2
 
4.0%
2.8 2
 
4.0%
2.5 2
 
4.0%
3.4 2
 
4.0%
3.3 2
 
4.0%
Other values (19) 21
42.0%
ValueCountFrequency (%)
0.2 1
 
2.0%
0.7 1
 
2.0%
0.8 2
4.0%
0.9 1
 
2.0%
1.0 3
6.0%
1.1 3
6.0%
1.3 3
6.0%
1.4 4
8.0%
1.5 1
 
2.0%
1.6 2
4.0%
ValueCountFrequency (%)
51.2 1
2.0%
19.2 1
2.0%
12.2 1
2.0%
4.1 1
2.0%
3.4 2
4.0%
3.3 2
4.0%
3.2 1
2.0%
3.1 1
2.0%
3.0 1
2.0%
2.8 2
4.0%

1순위_경제적 가치상승을 고려하여
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)61.7%
Missing3
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean1.9893617
Minimum0.3
Maximum5.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:12.937685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.4
Q10.95
median1.6
Q33
95-th percentile4.27
Maximum5.1
Range4.8
Interquartile range (IQR)2.05

Descriptive statistics

Standard deviation1.3068771
Coefficient of variation (CV)0.65693289
Kurtosis-0.69990291
Mean1.9893617
Median Absolute Deviation (MAD)0.9
Skewness0.60314615
Sum93.5
Variance1.7079278
MonotonicityNot monotonic
2024-01-28T22:42:13.034173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.4 4
 
8.0%
0.6 3
 
6.0%
3.6 3
 
6.0%
2.5 2
 
4.0%
3.1 2
 
4.0%
1.5 2
 
4.0%
0.7 2
 
4.0%
1.2 2
 
4.0%
1.4 2
 
4.0%
1.0 2
 
4.0%
Other values (19) 23
46.0%
(Missing) 3
 
6.0%
ValueCountFrequency (%)
0.3 1
 
2.0%
0.4 4
8.0%
0.6 3
6.0%
0.7 2
4.0%
0.8 1
 
2.0%
0.9 1
 
2.0%
1.0 2
4.0%
1.1 1
 
2.0%
1.2 2
4.0%
1.3 2
4.0%
ValueCountFrequency (%)
5.1 1
 
2.0%
4.6 1
 
2.0%
4.3 1
 
2.0%
4.2 1
 
2.0%
3.8 1
 
2.0%
3.6 3
6.0%
3.5 1
 
2.0%
3.4 1
 
2.0%
3.1 2
4.0%
2.9 1
 
2.0%

1순위_교육여건이 좋아서
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)46.8%
Missing3
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean1.0148936
Minimum0.1
Maximum6.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:13.123173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.4
median0.6
Q31.45
95-th percentile2.74
Maximum6.8
Range6.7
Interquartile range (IQR)1.05

Descriptive statistics

Standard deviation1.1641341
Coefficient of variation (CV)1.1470503
Kurtosis12.675111
Mean1.0148936
Median Absolute Deviation (MAD)0.3
Skewness3.0606339
Sum47.7
Variance1.3552081
MonotonicityNot monotonic
2024-01-28T22:42:13.222648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.4 10
20.0%
0.3 4
 
8.0%
0.1 4
 
8.0%
1.5 3
 
6.0%
0.5 3
 
6.0%
0.6 3
 
6.0%
0.8 2
 
4.0%
1.7 2
 
4.0%
0.2 2
 
4.0%
0.7 2
 
4.0%
Other values (12) 12
24.0%
(Missing) 3
 
6.0%
ValueCountFrequency (%)
0.1 4
 
8.0%
0.2 2
 
4.0%
0.3 4
 
8.0%
0.4 10
20.0%
0.5 3
 
6.0%
0.6 3
 
6.0%
0.7 2
 
4.0%
0.8 2
 
4.0%
0.9 1
 
2.0%
1.0 1
 
2.0%
ValueCountFrequency (%)
6.8 1
 
2.0%
3.3 1
 
2.0%
2.8 1
 
2.0%
2.6 1
 
2.0%
2.5 1
 
2.0%
2.1 1
 
2.0%
1.8 1
 
2.0%
1.7 2
4.0%
1.5 3
6.0%
1.4 1
 
2.0%

1순위_기타
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)32.7%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.9122449
Minimum0.1
Maximum10.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:13.328910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.2
Q10.5
median0.7
Q31
95-th percentile1.6
Maximum10.1
Range10
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.4032155
Coefficient of variation (CV)1.5382004
Kurtosis40.236701
Mean0.9122449
Median Absolute Deviation (MAD)0.2
Skewness6.0947035
Sum44.7
Variance1.9690136
MonotonicityNot monotonic
2024-01-28T22:42:13.437395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.5 9
18.0%
0.7 7
14.0%
0.6 5
10.0%
1.0 4
8.0%
0.8 3
 
6.0%
0.2 3
 
6.0%
1.3 3
 
6.0%
0.4 3
 
6.0%
0.9 2
 
4.0%
0.3 2
 
4.0%
Other values (6) 8
16.0%
ValueCountFrequency (%)
0.1 2
 
4.0%
0.2 3
 
6.0%
0.3 2
 
4.0%
0.4 3
 
6.0%
0.5 9
18.0%
0.6 5
10.0%
0.7 7
14.0%
0.8 3
 
6.0%
0.9 2
 
4.0%
1.0 4
8.0%
ValueCountFrequency (%)
10.1 1
 
2.0%
2.3 1
 
2.0%
1.8 1
 
2.0%
1.3 3
6.0%
1.2 1
 
2.0%
1.1 2
 
4.0%
1.0 4
8.0%
0.9 2
 
4.0%
0.8 3
6.0%
0.7 7
14.0%

1_2순위_경제적 여건에 맞춰서
Real number (ℝ)

Distinct45
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.534
Minimum24.1
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:13.539226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24.1
5-th percentile32.205
Q144.125
median49
Q352.075
95-th percentile57.81
Maximum64
Range39.9
Interquartile range (IQR)7.95

Descriptive statistics

Standard deviation7.7578824
Coefficient of variation (CV)0.16320702
Kurtosis1.6299854
Mean47.534
Median Absolute Deviation (MAD)4.35
Skewness-0.89062046
Sum2376.7
Variance60.184739
MonotonicityNot monotonic
2024-01-28T22:42:13.678750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
50.1 2
 
4.0%
52.1 2
 
4.0%
51.0 2
 
4.0%
47.3 2
 
4.0%
43.6 2
 
4.0%
46.2 1
 
2.0%
44.4 1
 
2.0%
54.1 1
 
2.0%
57.2 1
 
2.0%
50.7 1
 
2.0%
Other values (35) 35
70.0%
ValueCountFrequency (%)
24.1 1
2.0%
28.0 1
2.0%
29.1 1
2.0%
36.0 1
2.0%
36.5 1
2.0%
36.6 1
2.0%
42.0 1
2.0%
43.2 1
2.0%
43.6 2
4.0%
43.9 1
2.0%
ValueCountFrequency (%)
64.0 1
2.0%
60.3 1
2.0%
57.9 1
2.0%
57.7 1
2.0%
57.2 1
2.0%
56.1 1
2.0%
54.2 1
2.0%
54.1 1
2.0%
53.8 1
2.0%
53.1 1
2.0%

1_2순위_옛날부터 살던 곳이라서
Real number (ℝ)

Distinct46
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.114
Minimum4.7
Maximum73.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:13.799226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.7
5-th percentile24.18
Q131.55
median36.2
Q343.275
95-th percentile57.26
Maximum73.4
Range68.7
Interquartile range (IQR)11.725

Descriptive statistics

Standard deviation11.451638
Coefficient of variation (CV)0.30045751
Kurtosis1.9714956
Mean38.114
Median Absolute Deviation (MAD)6.1
Skewness0.36614163
Sum1905.7
Variance131.14
MonotonicityNot monotonic
2024-01-28T22:42:13.903232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
29.7 2
 
4.0%
35.1 2
 
4.0%
34.8 2
 
4.0%
39.1 2
 
4.0%
35.8 1
 
2.0%
31.7 1
 
2.0%
40.8 1
 
2.0%
47.9 1
 
2.0%
48.9 1
 
2.0%
44.0 1
 
2.0%
Other values (36) 36
72.0%
ValueCountFrequency (%)
4.7 1
2.0%
18.9 1
2.0%
24.0 1
2.0%
24.4 1
2.0%
26.3 1
2.0%
26.8 1
2.0%
27.1 1
2.0%
29.2 1
2.0%
29.7 2
4.0%
30.5 1
2.0%
ValueCountFrequency (%)
73.4 1
2.0%
61.9 1
2.0%
60.5 1
2.0%
53.3 1
2.0%
52.1 1
2.0%
51.0 1
2.0%
50.2 1
2.0%
50.0 1
2.0%
48.9 1
2.0%
47.9 1
2.0%

1_2순위_사업상 또는 직장 때문에
Real number (ℝ)

Distinct47
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.482
Minimum8.5
Maximum43.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:14.018175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.5
5-th percentile13.235
Q123.15
median31.3
Q337.875
95-th percentile41.92
Maximum43.3
Range34.8
Interquartile range (IQR)14.725

Descriptive statistics

Standard deviation9.5165954
Coefficient of variation (CV)0.32279341
Kurtosis-0.68169965
Mean29.482
Median Absolute Deviation (MAD)7.4
Skewness-0.50147236
Sum1474.1
Variance90.565588
MonotonicityNot monotonic
2024-01-28T22:42:14.496577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
18.0 2
 
4.0%
38.7 2
 
4.0%
31.3 2
 
4.0%
42.1 1
 
2.0%
19.1 1
 
2.0%
13.1 1
 
2.0%
9.0 1
 
2.0%
22.6 1
 
2.0%
35.0 1
 
2.0%
38.9 1
 
2.0%
Other values (37) 37
74.0%
ValueCountFrequency (%)
8.5 1
2.0%
9.0 1
2.0%
13.1 1
2.0%
13.4 1
2.0%
14.7 1
2.0%
15.8 1
2.0%
17.0 1
2.0%
18.0 2
4.0%
19.1 1
2.0%
21.4 1
2.0%
ValueCountFrequency (%)
43.3 1
2.0%
43.1 1
2.0%
42.1 1
2.0%
41.7 1
2.0%
41.5 1
2.0%
40.4 1
2.0%
40.1 1
2.0%
39.0 1
2.0%
38.9 1
2.0%
38.8 1
2.0%

1_2순위_배우자나 부모 자녀를 따라서
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)87.8%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean21.638776
Minimum7.6
Maximum39.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:14.640771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.6
5-th percentile13.94
Q118.6
median20.7
Q325.1
95-th percentile33.02
Maximum39.1
Range31.5
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation5.863333
Coefficient of variation (CV)0.27096418
Kurtosis1.4418749
Mean21.638776
Median Absolute Deviation (MAD)2.4
Skewness0.64555569
Sum1060.3
Variance34.378673
MonotonicityNot monotonic
2024-01-28T22:42:14.762263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
27.7 2
 
4.0%
18.3 2
 
4.0%
18.8 2
 
4.0%
18.6 2
 
4.0%
26.0 2
 
4.0%
25.2 2
 
4.0%
11.3 1
 
2.0%
14.5 1
 
2.0%
18.1 1
 
2.0%
22.8 1
 
2.0%
Other values (33) 33
66.0%
ValueCountFrequency (%)
7.6 1
2.0%
11.3 1
2.0%
13.9 1
2.0%
14.0 1
2.0%
14.3 1
2.0%
14.5 1
2.0%
17.6 1
2.0%
18.0 1
2.0%
18.1 1
2.0%
18.3 2
4.0%
ValueCountFrequency (%)
39.1 1
2.0%
35.3 1
2.0%
34.1 1
2.0%
31.4 1
2.0%
28.8 1
2.0%
27.7 2
4.0%
26.4 1
2.0%
26.0 2
4.0%
25.2 2
4.0%
25.1 1
2.0%

1_2순위_교통이 편리해서
Real number (ℝ)

Distinct40
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.614
Minimum0.1
Maximum37.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:14.871411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile3.935
Q112.525
median16.15
Q317.65
95-th percentile25.55
Maximum37.9
Range37.8
Interquartile range (IQR)5.125

Descriptive statistics

Standard deviation6.7274039
Coefficient of variation (CV)0.43085717
Kurtosis3.0307878
Mean15.614
Median Absolute Deviation (MAD)2.5
Skewness0.6117612
Sum780.7
Variance45.257963
MonotonicityNot monotonic
2024-01-28T22:42:14.977931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
15.2 4
 
8.0%
17.0 3
 
6.0%
13.9 2
 
4.0%
11.3 2
 
4.0%
16.8 2
 
4.0%
16.6 2
 
4.0%
19.7 2
 
4.0%
8.7 1
 
2.0%
34.4 1
 
2.0%
12.1 1
 
2.0%
Other values (30) 30
60.0%
ValueCountFrequency (%)
0.1 1
2.0%
0.8 1
2.0%
2.0 1
2.0%
6.3 1
2.0%
8.5 1
2.0%
8.7 1
2.0%
8.9 1
2.0%
11.2 1
2.0%
11.3 2
4.0%
12.1 1
2.0%
ValueCountFrequency (%)
37.9 1
2.0%
34.4 1
2.0%
26.9 1
2.0%
23.9 1
2.0%
21.6 1
2.0%
21.3 1
2.0%
21.0 1
2.0%
19.7 2
4.0%
18.7 1
2.0%
18.6 1
2.0%

1_2순위_환경이나 건강 때문에
Real number (ℝ)

Distinct38
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.712
Minimum2.1
Maximum34.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:15.090351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.1
5-th percentile5.47
Q18.5
median9.8
Q310.975
95-th percentile19.045
Maximum34.5
Range32.4
Interquartile range (IQR)2.475

Descriptive statistics

Standard deviation5.0574108
Coefficient of variation (CV)0.47212573
Kurtosis9.8903373
Mean10.712
Median Absolute Deviation (MAD)1.3
Skewness2.6151289
Sum535.6
Variance25.577404
MonotonicityNot monotonic
2024-01-28T22:42:15.198386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
9.4 3
 
6.0%
9.8 2
 
4.0%
8.5 2
 
4.0%
9.1 2
 
4.0%
12.5 2
 
4.0%
7.6 2
 
4.0%
10.7 2
 
4.0%
11.3 2
 
4.0%
9.5 2
 
4.0%
10.0 2
 
4.0%
Other values (28) 29
58.0%
ValueCountFrequency (%)
2.1 1
2.0%
4.5 1
2.0%
5.2 1
2.0%
5.8 1
2.0%
7.0 1
2.0%
7.1 1
2.0%
7.2 1
2.0%
7.6 2
4.0%
7.7 1
2.0%
7.9 1
2.0%
ValueCountFrequency (%)
34.5 1
2.0%
23.5 1
2.0%
19.9 1
2.0%
18.0 1
2.0%
17.8 1
2.0%
17.5 1
2.0%
12.5 2
4.0%
11.6 1
2.0%
11.4 1
2.0%
11.3 2
4.0%

1_2순위_경제적 가치상승을 고려하여
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)83.3%
Missing2
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean6.2541667
Minimum1.2
Maximum18.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:15.306498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile2.175
Q13.275
median5.35
Q38.675
95-th percentile11.525
Maximum18.4
Range17.2
Interquartile range (IQR)5.4

Descriptive statistics

Standard deviation3.6300143
Coefficient of variation (CV)0.58041534
Kurtosis1.3813343
Mean6.2541667
Median Absolute Deviation (MAD)2.45
Skewness1.0892853
Sum300.2
Variance13.177004
MonotonicityNot monotonic
2024-01-28T22:42:15.416657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
10.9 3
 
6.0%
2.9 2
 
4.0%
9.1 2
 
4.0%
2.7 2
 
4.0%
6.2 2
 
4.0%
4.1 2
 
4.0%
3.0 2
 
4.0%
6.1 1
 
2.0%
2.6 1
 
2.0%
3.4 1
 
2.0%
Other values (30) 30
60.0%
(Missing) 2
 
4.0%
ValueCountFrequency (%)
1.2 1
2.0%
1.7 1
2.0%
2.0 1
2.0%
2.5 1
2.0%
2.6 1
2.0%
2.7 2
4.0%
2.9 2
4.0%
3.0 2
4.0%
3.2 1
2.0%
3.3 1
2.0%
ValueCountFrequency (%)
18.4 1
 
2.0%
14.6 1
 
2.0%
11.7 1
 
2.0%
11.2 1
 
2.0%
10.9 3
6.0%
9.7 1
 
2.0%
9.3 1
 
2.0%
9.1 2
4.0%
8.9 1
 
2.0%
8.6 1
 
2.0%

1_2순위_편의시설 때문에
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)71.4%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean6.2632653
Minimum0.4
Maximum11.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:15.528943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile2.1
Q15.6
median6.2
Q37.2
95-th percentile9.5
Maximum11.7
Range11.3
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation2.2146006
Coefficient of variation (CV)0.35358563
Kurtosis1.0763786
Mean6.2632653
Median Absolute Deviation (MAD)0.8
Skewness-0.30145487
Sum306.9
Variance4.9044558
MonotonicityNot monotonic
2024-01-28T22:42:15.649588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
6.2 4
 
8.0%
6.7 3
 
6.0%
6.1 3
 
6.0%
6.0 2
 
4.0%
8.9 2
 
4.0%
5.8 2
 
4.0%
7.3 2
 
4.0%
2.1 2
 
4.0%
7.0 2
 
4.0%
5.9 2
 
4.0%
Other values (25) 25
50.0%
ValueCountFrequency (%)
0.4 1
2.0%
1.1 1
2.0%
2.1 2
4.0%
3.4 1
2.0%
3.7 1
2.0%
4.0 1
2.0%
4.1 1
2.0%
4.7 1
2.0%
5.1 1
2.0%
5.3 1
2.0%
ValueCountFrequency (%)
11.7 1
2.0%
10.7 1
2.0%
9.7 1
2.0%
9.2 1
2.0%
9.0 1
2.0%
8.9 2
4.0%
8.8 1
2.0%
8.3 1
2.0%
7.5 1
2.0%
7.3 2
4.0%

1_2순위_자녀 또는 본인의 학업 때문에
Real number (ℝ)

Distinct39
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.804
Minimum0.2
Maximum65.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:15.767574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile2.245
Q14.15
median5.7
Q36.85
95-th percentile13.05
Maximum65.6
Range65.4
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation10.528735
Coefficient of variation (CV)1.349146
Kurtosis22.347689
Mean7.804
Median Absolute Deviation (MAD)1.5
Skewness4.6083088
Sum390.2
Variance110.85427
MonotonicityNot monotonic
2024-01-28T22:42:15.875283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
3.7 3
 
6.0%
9.5 2
 
4.0%
5.9 2
 
4.0%
6.1 2
 
4.0%
6.5 2
 
4.0%
5.0 2
 
4.0%
5.7 2
 
4.0%
5.6 2
 
4.0%
8.9 2
 
4.0%
6.4 2
 
4.0%
Other values (29) 29
58.0%
ValueCountFrequency (%)
0.2 1
 
2.0%
1.3 1
 
2.0%
2.2 1
 
2.0%
2.3 1
 
2.0%
2.7 1
 
2.0%
3.0 1
 
2.0%
3.2 1
 
2.0%
3.5 1
 
2.0%
3.7 3
6.0%
3.8 1
 
2.0%
ValueCountFrequency (%)
65.6 1
2.0%
47.3 1
2.0%
15.3 1
2.0%
10.3 1
2.0%
9.7 1
2.0%
9.5 2
4.0%
9.2 1
2.0%
8.9 2
4.0%
8.4 1
2.0%
7.8 1
2.0%

1_2순위_교육여건이 좋아서
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)74.5%
Missing3
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean2.5595745
Minimum0.1
Maximum12.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:15.991570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.53
Q10.9
median1.6
Q33.8
95-th percentile7.17
Maximum12.3
Range12.2
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation2.4376271
Coefficient of variation (CV)0.95235639
Kurtosis4.9707309
Mean2.5595745
Median Absolute Deviation (MAD)0.9
Skewness2.0129156
Sum120.3
Variance5.9420259
MonotonicityNot monotonic
2024-01-28T22:42:16.107843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0.6 4
 
8.0%
0.9 4
 
8.0%
1.6 3
 
6.0%
3.9 2
 
4.0%
1.1 2
 
4.0%
0.7 2
 
4.0%
1.2 2
 
4.0%
2.3 1
 
2.0%
4.3 1
 
2.0%
7.2 1
 
2.0%
Other values (25) 25
50.0%
(Missing) 3
 
6.0%
ValueCountFrequency (%)
0.1 1
 
2.0%
0.4 1
 
2.0%
0.5 1
 
2.0%
0.6 4
8.0%
0.7 2
4.0%
0.8 1
 
2.0%
0.9 4
8.0%
1.0 1
 
2.0%
1.1 2
4.0%
1.2 2
4.0%
ValueCountFrequency (%)
12.3 1
2.0%
8.7 1
2.0%
7.2 1
2.0%
7.1 1
2.0%
5.0 1
2.0%
4.9 1
2.0%
4.6 1
2.0%
4.4 1
2.0%
4.3 1
2.0%
4.0 1
2.0%

1_2순위_기타
Real number (ℝ)

Distinct22
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.632
Minimum0.1
Maximum10.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T22:42:16.206977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.535
Q11.1
median1.4
Q31.8
95-th percentile3.52
Maximum10.1
Range10
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation1.4239124
Coefficient of variation (CV)0.87249534
Kurtosis26.047033
Mean1.632
Median Absolute Deviation (MAD)0.4
Skewness4.5581306
Sum81.6
Variance2.0275265
MonotonicityNot monotonic
2024-01-28T22:42:16.305581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1.1 6
12.0%
1.8 5
 
10.0%
1.2 5
 
10.0%
1.0 4
 
8.0%
1.5 3
 
6.0%
1.6 3
 
6.0%
1.4 3
 
6.0%
1.7 3
 
6.0%
0.8 2
 
4.0%
2.1 2
 
4.0%
Other values (12) 14
28.0%
ValueCountFrequency (%)
0.1 1
 
2.0%
0.2 1
 
2.0%
0.4 1
 
2.0%
0.7 2
 
4.0%
0.8 2
 
4.0%
0.9 1
 
2.0%
1.0 4
8.0%
1.1 6
12.0%
1.2 5
10.0%
1.3 1
 
2.0%
ValueCountFrequency (%)
10.1 1
 
2.0%
3.9 1
 
2.0%
3.7 1
 
2.0%
3.3 1
 
2.0%
2.2 2
 
4.0%
2.1 2
 
4.0%
1.9 1
 
2.0%
1.8 5
10.0%
1.7 3
6.0%
1.6 3
6.0%

Sample

특성별(1)특성별(2)1순위_경제적 여건에 맞춰서1순위_옛날부터 살던 곳이라서1순위_사업상 또는 직장 때문에1순위_배우자나 부모 자녀를 따라서1순위_교통이 편리해서1순위_환경이나 건강 때문에1순위_편의시설 때문에1순위_자녀 또는 본인의 학업 때문에1순위_경제적 가치상승을 고려하여1순위_교육여건이 좋아서1순위_기타1_2순위_경제적 여건에 맞춰서1_2순위_옛날부터 살던 곳이라서1_2순위_사업상 또는 직장 때문에1_2순위_배우자나 부모 자녀를 따라서1_2순위_교통이 편리해서1_2순위_환경이나 건강 때문에1_2순위_경제적 가치상승을 고려하여1_2순위_편의시설 때문에1_2순위_자녀 또는 본인의 학업 때문에1_2순위_교육여건이 좋아서1_2순위_기타
0군구별중구14.732.734.94.11.18.40.60.91.00.41.250.135.842.111.38.718.04.12.11.30.71.8
1군구별동구20.239.117.613.12.41.70.71.31.10.42.349.846.728.128.88.55.23.32.16.11.63.7
2군구별미추홀구21.841.69.915.93.11.11.04.10.60.60.264.050.218.026.411.37.02.53.46.40.90.4
3군구별연수구9.731.320.919.31.95.22.32.44.22.60.236.539.224.827.76.310.514.66.26.27.10.7
4군구별남동구24.029.319.911.56.33.21.61.41.60.21.052.136.028.418.323.910.03.05.96.91.21.8
5군구별부평구18.528.318.412.89.63.54.02.41.60.40.547.332.725.720.721.65.85.211.78.91.61.1
6군구별계양구17.835.024.38.25.04.22.41.01.30.40.544.243.338.714.321.017.85.47.02.30.92.2
7군구별서구25.920.922.510.45.83.73.31.83.61.10.952.029.732.618.815.27.111.76.64.42.01.6
8군구별강화군5.854.211.010.40.114.71.51.30.90.1<NA>28.060.527.435.30.834.51.24.72.21.20.2
9군구별옹진군3.948.624.012.2<NA>9.10.20.20.40.11.344.153.335.639.10.117.52.01.10.20.13.3
특성별(1)특성별(2)1순위_경제적 여건에 맞춰서1순위_옛날부터 살던 곳이라서1순위_사업상 또는 직장 때문에1순위_배우자나 부모 자녀를 따라서1순위_교통이 편리해서1순위_환경이나 건강 때문에1순위_편의시설 때문에1순위_자녀 또는 본인의 학업 때문에1순위_경제적 가치상승을 고려하여1순위_교육여건이 좋아서1순위_기타1_2순위_경제적 여건에 맞춰서1_2순위_옛날부터 살던 곳이라서1_2순위_사업상 또는 직장 때문에1_2순위_배우자나 부모 자녀를 따라서1_2순위_교통이 편리해서1_2순위_환경이나 건강 때문에1_2순위_경제적 가치상승을 고려하여1_2순위_편의시설 때문에1_2순위_자녀 또는 본인의 학업 때문에1_2순위_교육여건이 좋아서1_2순위_기타
40주거형태별연립/다세대주택26.332.515.611.56.83.31.31.40.40.10.657.741.323.920.119.78.53.05.15.00.61.2
41주거형태별기타21.028.323.79.66.03.14.81.61.2<NA>0.657.931.537.814.516.39.95.08.93.7<NA>0.9
42주거점유형태별자가16.835.618.413.44.44.31.91.42.50.70.645.042.927.023.414.610.88.46.25.62.11.0
43주거점유형태별전세20.225.921.813.96.62.82.73.01.70.90.554.234.829.120.618.67.64.06.95.92.41.7
44주거점유형태별월세 및 기타28.722.622.37.35.83.83.23.40.70.71.360.327.133.214.017.010.72.76.75.91.62.1
45가구원수별1인22.331.217.811.95.73.92.42.71.00.40.756.139.124.419.917.89.32.96.24.80.61.7
46가구원수별2인20.837.215.611.53.84.52.81.11.50.50.649.943.222.921.314.812.56.27.03.71.11.1
47가구원수별3인16.529.822.413.15.84.11.61.63.80.60.743.936.333.422.217.09.39.76.05.52.51.2
48가구원수별4인17.627.423.612.75.72.82.13.42.71.40.546.235.134.221.013.99.19.16.79.53.91.4
49가구원수별5인 이상16.522.128.516.23.73.72.82.00.42.81.146.330.740.423.711.39.55.76.29.77.21.2