Overview

Dataset statistics

Number of variables21
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory192.1 B

Variable types

Categorical2
Text1
Numeric18

Dataset

Description국민의 주택금융 이용실태 등을 파악하기 위해 전문조사기관과 함께 실시한 ‘2022년 주택금융 및 보금자리론 실태조사’ 결과 중 보유주택지역에 대한 데이터를 제공하며, 응답자 분류, 응답자 세부분류, 사례수, 지역별 비율, 합계 등의 데이터 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15120543/fileData.do

Alerts

계(퍼센트) has constant value ""Constant
사례수 has unique valuesUnique
서울(퍼센트) has unique valuesUnique
부산(퍼센트) has 1 (3.8%) zerosZeros
대구(퍼센트) has 2 (7.7%) zerosZeros
인천(퍼센트) has 2 (7.7%) zerosZeros
광주(퍼센트) has 1 (3.8%) zerosZeros
대전(퍼센트) has 2 (7.7%) zerosZeros
울산(퍼센트) has 3 (11.5%) zerosZeros
세종(퍼센트) has 4 (15.4%) zerosZeros
강원도(퍼센트) has 3 (11.5%) zerosZeros
충청북도(퍼센트) has 2 (7.7%) zerosZeros
충청남도(퍼센트) has 2 (7.7%) zerosZeros
전라북도(퍼센트) has 3 (11.5%) zerosZeros
전라남도(퍼센트) has 3 (11.5%) zerosZeros
경상북도(퍼센트) has 2 (7.7%) zerosZeros
경상남도(퍼센트) has 1 (3.8%) zerosZeros
제주도(퍼센트) has 4 (15.4%) zerosZeros

Reproduction

Analysis started2023-12-12 16:17:13.441645
Analysis finished2023-12-12 16:17:13.655926
Duration0.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

응답자 분류
Categorical

Distinct7
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Memory size340.0 B
가구주 직업
6 
가구소득
5 
거주지역
4 
가구주 연령
4 
결혼여부
4 
Other values (2)
3 

Length

Max length8
Median length7.5
Mean length5.1923077
Min length4

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st row거주지역
2nd row거주지역
3rd row거주지역
4th row거주지역
5th row가구주 연령

Common Values

ValueCountFrequency (%)
가구주 직업 6
23.1%
가구소득 5
19.2%
거주지역 4
15.4%
가구주 연령 4
15.4%
결혼여부 4
15.4%
주택 보유/거주 2
 
7.7%
주택 보유여부 1
 
3.8%

Length

2023-12-13T01:17:13.754657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:17:13.924672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가구주 10
25.6%
직업 6
15.4%
가구소득 5
12.8%
거주지역 4
 
10.3%
연령 4
 
10.3%
결혼여부 4
 
10.3%
주택 3
 
7.7%
보유/거주 2
 
5.1%
보유여부 1
 
2.6%

응답자 세부분류
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T01:17:14.134811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length4.3461538
Min length2

Characters and Unicode

Total characters113
Distinct characters54
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

Unique24 ?
Unique (%)92.3%

Sample

1st row서울
2nd row경기
3rd row광역시
4th row기타지역
5th row30대 이하
ValueCountFrequency (%)
유주택 3
 
8.6%
종사자 3
 
8.6%
기타 2
 
5.7%
경기 1
 
2.9%
관리자 1
 
2.9%
자가거주 1
 
2.9%
미혼 1
 
2.9%
기혼 1
 
2.9%
신혼 1
 
2.9%
기능원/단순노무직 1
 
2.9%
Other values (20) 20
57.1%
2023-12-13T01:17:14.532726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
 
8.0%
기 6
 
5.3%
위 5
 
4.4%
자 5
 
4.4%
분 5
 
4.4%
주 5
 
4.4%
0 4
 
3.5%
사 4
 
3.5%
대 4
 
3.5%
유 3
 
2.7%
Other values (44) 63
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89
78.8%
Decimal Number 13
 
11.5%
Space Separator 9
 
8.0%
Other Punctuation 2
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 6
 
6.7%
위 5
 
5.6%
자 5
 
5.6%
분 5
 
5.6%
주 5
 
5.6%
사 4
 
4.5%
대 4
 
4.5%
유 3
 
3.4%
혼 3
 
3.4%
택 3
 
3.4%
Other values (35) 46
51.7%
Decimal Number
ValueCountFrequency (%)
0 4
30.8%
5 2
15.4%
4 2
15.4%
3 2
15.4%
2 1
 
7.7%
1 1
 
7.7%
6 1
 
7.7%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89
78.8%
Common 24
 
21.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 6
 
6.7%
위 5
 
5.6%
자 5
 
5.6%
분 5
 
5.6%
주 5
 
5.6%
사 4
 
4.5%
대 4
 
4.5%
유 3
 
3.4%
혼 3
 
3.4%
택 3
 
3.4%
Other values (35) 46
51.7%
Common
ValueCountFrequency (%)
9
37.5%
0 4
16.7%
/ 2
 
8.3%
5 2
 
8.3%
4 2
 
8.3%
3 2
 
8.3%
2 1
 
4.2%
1 1
 
4.2%
6 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89
78.8%
ASCII 24
 
21.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9
37.5%
0 4
16.7%
/ 2
 
8.3%
5 2
 
8.3%
4 2
 
8.3%
3 2
 
8.3%
2 1
 
4.2%
1 1
 
4.2%
6 1
 
4.2%
Hangul
ValueCountFrequency (%)
기 6
 
6.7%
위 5
 
5.6%
자 5
 
5.6%
분 5
 
5.6%
주 5
 
5.6%
사 4
 
4.5%
대 4
 
4.5%
유 3
 
3.4%
혼 3
 
3.4%
택 3
 
3.4%
Other values (35) 46
51.7%

사례수
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean832
Minimum89
Maximum3090
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:17:14.701100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum89
5-th percentile106.75
Q1294.5
median597.5
Q3839.25
95-th percentile2891.5
Maximum3090
Range3001
Interquartile range (IQR)544.75

Descriptive statistics

Standard deviation833.26049
Coefficient of variation (CV)1.001515
Kurtosis2.8602489
Mean832
Median Absolute Deviation (MAD)290.5
Skewness1.8622828
Sum21632
Variance694323.04
MonotonicityNot monotonic
2023-12-13T01:17:14.847580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
543 1
 
3.8%
155 1
 
3.8%
106 1
 
3.8%
2984 1
 
3.8%
3090 1
 
3.8%
279 1
 
3.8%
89 1
 
3.8%
2614 1
 
3.8%
109 1
 
3.8%
341 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
89 1
3.8%
106 1
3.8%
109 1
3.8%
112 1
3.8%
155 1
3.8%
226 1
3.8%
279 1
3.8%
341 1
3.8%
520 1
3.8%
543 1
3.8%
ValueCountFrequency (%)
3090 1
3.8%
2984 1
3.8%
2614 1
3.8%
1392 1
3.8%
1173 1
3.8%
1017 1
3.8%
860 1
3.8%
777 1
3.8%
765 1
3.8%
762 1
3.8%

서울(퍼센트)
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.369231
Minimum0.1
Maximum99.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:17:14.990282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.525
Q110.9
median17.2
Q319.225
95-th percentile34.125
Maximum99.5
Range99.4
Interquartile range (IQR)8.325

Descriptive statistics

Standard deviation18.607821
Coefficient of variation (CV)0.96068974
Kurtosis14.32502
Mean19.369231
Median Absolute Deviation (MAD)5.6
Skewness3.3447098
Sum503.6
Variance346.25102
MonotonicityNot monotonic
2023-12-13T01:17:15.138108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
99.5 1
 
3.8%
34.4 1
 
3.8%
26.3 1
 
3.8%
17.6 1
 
3.8%
17.9 1
 
3.8%
10.8 1
 
3.8%
16.0 1
 
3.8%
19.0 1
 
3.8%
11.2 1
 
3.8%
9.8 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
0.1 1
3.8%
0.2 1
3.8%
1.5 1
3.8%
6.3 1
3.8%
9.8 1
3.8%
10.7 1
3.8%
10.8 1
3.8%
11.2 1
3.8%
14.0 1
3.8%
14.8 1
3.8%
ValueCountFrequency (%)
99.5 1
3.8%
34.4 1
3.8%
33.3 1
3.8%
30.9 1
3.8%
26.3 1
3.8%
22.4 1
3.8%
19.3 1
3.8%
19.0 1
3.8%
18.8 1
3.8%
18.2 1
3.8%

부산(퍼센트)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3846154
Minimum0
Maximum26.6
Zeros1
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:17:15.278365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.125
Q14.725
median6.4
Q37.6
95-th percentile10.55
Maximum26.6
Range26.6
Interquartile range (IQR)2.875

Descriptive statistics

Standard deviation5.0264653
Coefficient of variation (CV)0.7872777
Kurtosis10.441409
Mean6.3846154
Median Absolute Deviation (MAD)1.6
Skewness2.5232211
Sum166
Variance25.265354
MonotonicityNot monotonic
2023-12-13T01:17:15.400766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
6.8 2
 
7.7%
4.8 2
 
7.7%
0.0 1
 
3.8%
0.5 1
 
3.8%
6.9 1
 
3.8%
6.7 1
 
3.8%
6.1 1
 
3.8%
7.3 1
 
3.8%
4.7 1
 
3.8%
10.1 1
 
3.8%
Other values (14) 14
53.8%
ValueCountFrequency (%)
0.0 1
3.8%
0.1 1
3.8%
0.2 1
3.8%
0.5 1
3.8%
2.8 1
3.8%
4.6 1
3.8%
4.7 1
3.8%
4.8 2
7.7%
5.5 1
3.8%
5.6 1
3.8%
ValueCountFrequency (%)
26.6 1
3.8%
10.7 1
3.8%
10.1 1
3.8%
8.2 1
3.8%
8.0 1
3.8%
7.8 1
3.8%
7.7 1
3.8%
7.3 1
3.8%
7.0 1
3.8%
6.9 1
3.8%

대구(퍼센트)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1038462
Minimum0
Maximum18.8
Zeros2
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:17:15.532069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.225
Q13.725
median4.9
Q35.75
95-th percentile9.975
Maximum18.8
Range18.8
Interquartile range (IQR)2.025

Descriptive statistics

Standard deviation3.5820085
Coefficient of variation (CV)0.70182532
Kurtosis8.350169
Mean5.1038462
Median Absolute Deviation (MAD)1.1
Skewness2.2641524
Sum132.7
Variance12.830785
MonotonicityNot monotonic
2023-12-13T01:17:15.673215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 2
 
7.7%
4.0 2
 
7.7%
5.0 2
 
7.7%
3.5 1
 
3.8%
3.8 1
 
3.8%
5.1 1
 
3.8%
5.5 1
 
3.8%
10.8 1
 
3.8%
4.8 1
 
3.8%
3.7 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
0.0 2
7.7%
0.9 1
3.8%
2.7 1
3.8%
3.2 1
3.8%
3.5 1
3.8%
3.7 1
3.8%
3.8 1
3.8%
4.0 2
7.7%
4.3 1
3.8%
4.4 1
3.8%
ValueCountFrequency (%)
18.8 1
3.8%
10.8 1
3.8%
7.5 1
3.8%
6.6 1
3.8%
6.5 1
3.8%
6.0 1
3.8%
5.8 1
3.8%
5.6 1
3.8%
5.5 1
3.8%
5.2 1
3.8%

인천(퍼센트)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2423077
Minimum0
Maximum17.7
Zeros2
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:17:15.816253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05
Q13.075
median4.35
Q35.125
95-th percentile6.6
Maximum17.7
Range17.7
Interquartile range (IQR)2.05

Descriptive statistics

Standard deviation3.3385234
Coefficient of variation (CV)0.78695928
Kurtosis10.555957
Mean4.2423077
Median Absolute Deviation (MAD)0.9
Skewness2.5179133
Sum110.3
Variance11.145738
MonotonicityNot monotonic
2023-12-13T01:17:15.937354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
4.7 2
 
7.7%
0.0 2
 
7.7%
5.2 2
 
7.7%
3.3 1
 
3.8%
4.6 1
 
3.8%
6.8 1
 
3.8%
2.3 1
 
3.8%
4.4 1
 
3.8%
3.9 1
 
3.8%
1.8 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
0.0 2
7.7%
0.2 1
3.8%
0.3 1
3.8%
1.8 1
3.8%
2.3 1
3.8%
3.0 1
3.8%
3.3 1
3.8%
3.5 1
3.8%
3.6 1
3.8%
3.9 1
3.8%
ValueCountFrequency (%)
17.7 1
3.8%
6.8 1
3.8%
6.0 1
3.8%
5.9 1
3.8%
5.3 1
3.8%
5.2 2
7.7%
4.9 1
3.8%
4.7 2
7.7%
4.6 1
3.8%
4.5 1
3.8%

광주(퍼센트)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4076923
Minimum0
Maximum13
Zeros1
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:17:16.051015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.35
Q12.525
median3.45
Q33.8
95-th percentile5.3
Maximum13
Range13
Interquartile range (IQR)1.275

Descriptive statistics

Standard deviation2.4179203
Coefficient of variation (CV)0.70954771
Kurtosis9.7652581
Mean3.4076923
Median Absolute Deviation (MAD)0.65
Skewness2.4071035
Sum88.6
Variance5.8463385
MonotonicityNot monotonic
2023-12-13T01:17:16.159280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3.4 2
 
7.7%
3.7 2
 
7.7%
3.6 2
 
7.7%
4.1 2
 
7.7%
3.8 2
 
7.7%
5.3 2
 
7.7%
2.9 2
 
7.7%
1.9 1
 
3.8%
3.5 1
 
3.8%
1.7 1
 
3.8%
Other values (9) 9
34.6%
ValueCountFrequency (%)
0.0 1
3.8%
0.3 1
3.8%
0.5 1
3.8%
1.1 1
3.8%
1.7 1
3.8%
1.9 1
3.8%
2.5 1
3.8%
2.6 1
3.8%
2.8 1
3.8%
2.9 2
7.7%
ValueCountFrequency (%)
13.0 1
3.8%
5.3 2
7.7%
5.1 1
3.8%
4.1 2
7.7%
3.8 2
7.7%
3.7 2
7.7%
3.6 2
7.7%
3.5 1
3.8%
3.4 2
7.7%
2.9 2
7.7%

대전(퍼센트)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1423077
Minimum0
Maximum10.5
Zeros2
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:17:16.259472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.15
Q12
median2.75
Q33.925
95-th percentile7.95
Maximum10.5
Range10.5
Interquartile range (IQR)1.925

Descriptive statistics

Standard deviation2.3689952
Coefficient of variation (CV)0.75390301
Kurtosis3.6348935
Mean3.1423077
Median Absolute Deviation (MAD)0.95
Skewness1.6088856
Sum81.7
Variance5.6121385
MonotonicityNot monotonic
2023-12-13T01:17:16.357689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 2
 
7.7%
2.6 2
 
7.7%
2.0 2
 
7.7%
4.6 1
 
3.8%
8.9 1
 
3.8%
2.9 1
 
3.8%
5.1 1
 
3.8%
2.7 1
 
3.8%
4.0 1
 
3.8%
0.7 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
0.0 2
7.7%
0.6 1
3.8%
0.7 1
3.8%
1.0 1
3.8%
1.8 1
3.8%
2.0 2
7.7%
2.3 1
3.8%
2.4 1
3.8%
2.6 2
7.7%
2.7 1
3.8%
ValueCountFrequency (%)
10.5 1
3.8%
8.9 1
3.8%
5.1 1
3.8%
4.6 1
3.8%
4.3 1
3.8%
4.2 1
3.8%
4.0 1
3.8%
3.7 1
3.8%
3.5 1
3.8%
3.3 1
3.8%

울산(퍼센트)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2192308
Minimum0
Maximum12.6
Zeros3
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:17:16.691137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.125
median3.15
Q34
95-th percentile5.525
Maximum12.6
Range12.6
Interquartile range (IQR)1.875

Descriptive statistics

Standard deviation2.4326149
Coefficient of variation (CV)0.75565099
Kurtosis8.4524422
Mean3.2192308
Median Absolute Deviation (MAD)0.95
Skewness2.2159318
Sum83.7
Variance5.9176154
MonotonicityNot monotonic
2023-12-13T01:17:16.795343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 3
 
11.5%
3.2 3
 
11.5%
4.1 2
 
7.7%
5.0 1
 
3.8%
4.8 1
 
3.8%
3.1 1
 
3.8%
2.3 1
 
3.8%
1.2 1
 
3.8%
5.7 1
 
3.8%
2.4 1
 
3.8%
Other values (11) 11
42.3%
ValueCountFrequency (%)
0.0 3
11.5%
1.2 1
 
3.8%
1.6 1
 
3.8%
1.9 1
 
3.8%
2.1 1
 
3.8%
2.2 1
 
3.8%
2.3 1
 
3.8%
2.4 1
 
3.8%
2.5 1
 
3.8%
3.0 1
 
3.8%
ValueCountFrequency (%)
12.6 1
 
3.8%
5.7 1
 
3.8%
5.0 1
 
3.8%
4.8 1
 
3.8%
4.7 1
 
3.8%
4.1 2
7.7%
3.7 1
 
3.8%
3.6 1
 
3.8%
3.5 1
 
3.8%
3.2 3
11.5%

세종(퍼센트)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)65.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2384615
Minimum0
Maximum4.3
Zeros4
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:17:16.887638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.425
median0.95
Q31.5
95-th percentile3.25
Maximum4.3
Range4.3
Interquartile range (IQR)1.075

Descriptive statistics

Standard deviation1.1228809
Coefficient of variation (CV)0.90667403
Kurtosis1.1495234
Mean1.2384615
Median Absolute Deviation (MAD)0.55
Skewness1.2230999
Sum32.2
Variance1.2608615
MonotonicityNot monotonic
2023-12-13T01:17:16.993264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 4
15.4%
1.5 3
11.5%
0.9 2
 
7.7%
0.7 2
 
7.7%
3.1 2
 
7.7%
0.3 2
 
7.7%
1.2 1
 
3.8%
0.8 1
 
3.8%
3.3 1
 
3.8%
1.3 1
 
3.8%
Other values (7) 7
26.9%
ValueCountFrequency (%)
0.0 4
15.4%
0.3 2
7.7%
0.4 1
 
3.8%
0.5 1
 
3.8%
0.7 2
7.7%
0.8 1
 
3.8%
0.9 2
7.7%
1.0 1
 
3.8%
1.2 1
 
3.8%
1.3 1
 
3.8%
ValueCountFrequency (%)
4.3 1
 
3.8%
3.3 1
 
3.8%
3.1 2
7.7%
1.8 1
 
3.8%
1.7 1
 
3.8%
1.5 3
11.5%
1.4 1
 
3.8%
1.3 1
 
3.8%
1.2 1
 
3.8%
1.0 1
 
3.8%

경기도(퍼센트)
Real number (ℝ)

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.353846
Minimum0.1
Maximum97.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:17:17.091750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.325
Q115.3
median21.9
Q325.075
95-th percentile31.35
Maximum97.5
Range97.4
Interquartile range (IQR)9.775

Descriptive statistics

Standard deviation17.640663
Coefficient of variation (CV)0.7891556
Kurtosis13.75888
Mean22.353846
Median Absolute Deviation (MAD)4.4
Skewness3.0764538
Sum581.2
Variance311.19298
MonotonicityNot monotonic
2023-12-13T01:17:17.193117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
27.6 2
 
7.7%
0.4 1
 
3.8%
22.0 1
 
3.8%
17.4 1
 
3.8%
24.2 1
 
3.8%
23.9 1
 
3.8%
14.4 1
 
3.8%
20.5 1
 
3.8%
25.1 1
 
3.8%
23.5 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
0.1 1
3.8%
0.3 1
3.8%
0.4 1
3.8%
9.3 1
3.8%
13.8 1
3.8%
14.4 1
3.8%
14.6 1
3.8%
17.4 1
3.8%
17.6 1
3.8%
20.5 1
3.8%
ValueCountFrequency (%)
97.5 1
3.8%
31.5 1
3.8%
30.9 1
3.8%
27.6 2
7.7%
26.0 1
3.8%
25.1 1
3.8%
25.0 1
3.8%
24.2 1
3.8%
23.9 1
3.8%
23.7 1
3.8%

강원도(퍼센트)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6961538
Minimum0
Maximum10.2
Zeros3
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:17:17.287842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.5
median3.25
Q34.8
95-th percentile7.75
Maximum10.2
Range10.2
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation2.4155299
Coefficient of variation (CV)0.65352525
Kurtosis1.0059566
Mean3.6961538
Median Absolute Deviation (MAD)1.25
Skewness0.76974437
Sum96.1
Variance5.8347846
MonotonicityNot monotonic
2023-12-13T01:17:17.392547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 3
 
11.5%
2.5 3
 
11.5%
1.7 2
 
7.7%
3.2 2
 
7.7%
4.5 2
 
7.7%
3.7 1
 
3.8%
7.3 1
 
3.8%
3.1 1
 
3.8%
6.4 1
 
3.8%
3.8 1
 
3.8%
Other values (9) 9
34.6%
ValueCountFrequency (%)
0.0 3
11.5%
1.7 2
7.7%
2.1 1
 
3.8%
2.5 3
11.5%
3.0 1
 
3.8%
3.1 1
 
3.8%
3.2 2
7.7%
3.3 1
 
3.8%
3.4 1
 
3.8%
3.7 1
 
3.8%
ValueCountFrequency (%)
10.2 1
3.8%
7.9 1
3.8%
7.3 1
3.8%
6.4 1
3.8%
5.4 1
3.8%
5.3 1
3.8%
4.9 1
3.8%
4.5 2
7.7%
3.8 1
3.8%
3.7 1
3.8%

충청북도(퍼센트)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7692308
Minimum0
Maximum10.1
Zeros2
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:17:17.484721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.025
Q12.1
median3.35
Q35.125
95-th percentile9.05
Maximum10.1
Range10.1
Interquartile range (IQR)3.025

Descriptive statistics

Standard deviation2.5702559
Coefficient of variation (CV)0.68190463
Kurtosis1.2286142
Mean3.7692308
Median Absolute Deviation (MAD)1.4
Skewness0.86481026
Sum98
Variance6.6062154
MonotonicityNot monotonic
2023-12-13T01:17:17.582675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 2
 
7.7%
10.1 2
 
7.7%
4.6 2
 
7.7%
4.3 2
 
7.7%
5.7 2
 
7.7%
2.0 1
 
3.8%
3.3 1
 
3.8%
3.4 1
 
3.8%
5.9 1
 
3.8%
3.0 1
 
3.8%
Other values (11) 11
42.3%
ValueCountFrequency (%)
0.0 2
7.7%
0.1 1
3.8%
1.1 1
3.8%
1.5 1
3.8%
1.9 1
3.8%
2.0 1
3.8%
2.4 1
3.8%
2.8 1
3.8%
3.0 1
3.8%
3.1 1
3.8%
ValueCountFrequency (%)
10.1 2
7.7%
5.9 1
3.8%
5.7 2
7.7%
5.6 1
3.8%
5.3 1
3.8%
4.6 2
7.7%
4.3 2
7.7%
4.0 1
3.8%
3.4 1
3.8%
3.3 1
3.8%

충청남도(퍼센트)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9538462
Minimum0
Maximum12.4
Zeros2
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:17:17.675614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.025
Q12.525
median3.9
Q34.8
95-th percentile9.275
Maximum12.4
Range12.4
Interquartile range (IQR)2.275

Descriptive statistics

Standard deviation2.8352398
Coefficient of variation (CV)0.71708399
Kurtosis2.4081412
Mean3.9538462
Median Absolute Deviation (MAD)1.25
Skewness1.1801776
Sum102.8
Variance8.0385846
MonotonicityNot monotonic
2023-12-13T01:17:17.775804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4.1 3
 
11.5%
0.0 2
 
7.7%
4.8 2
 
7.7%
5.4 1
 
3.8%
3.5 1
 
3.8%
2.8 1
 
3.8%
4.4 1
 
3.8%
1.0 1
 
3.8%
9.9 1
 
3.8%
4.6 1
 
3.8%
Other values (12) 12
46.2%
ValueCountFrequency (%)
0.0 2
7.7%
0.1 1
3.8%
1.0 1
3.8%
1.2 1
3.8%
1.8 1
3.8%
2.5 1
3.8%
2.6 1
3.8%
2.8 1
3.8%
3.1 1
3.8%
3.5 1
3.8%
ValueCountFrequency (%)
12.4 1
 
3.8%
9.9 1
 
3.8%
7.4 1
 
3.8%
5.8 1
 
3.8%
5.4 1
 
3.8%
5.1 1
 
3.8%
4.8 2
7.7%
4.6 1
 
3.8%
4.4 1
 
3.8%
4.1 3
11.5%

전라북도(퍼센트)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6192308
Minimum0
Maximum13.6
Zeros3
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:17:17.877008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.525
median2.55
Q33.75
95-th percentile11
Maximum13.6
Range13.6
Interquartile range (IQR)2.225

Descriptive statistics

Standard deviation3.6160773
Coefficient of variation (CV)0.9991287
Kurtosis1.9418747
Mean3.6192308
Median Absolute Deviation (MAD)1.15
Skewness1.6449892
Sum94.1
Variance13.076015
MonotonicityNot monotonic
2023-12-13T01:17:17.975064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 3
 
11.5%
2.5 2
 
7.7%
4.1 2
 
7.7%
2.1 1
 
3.8%
1.1 1
 
3.8%
3.5 1
 
3.8%
3.4 1
 
3.8%
13.6 1
 
3.8%
3.8 1
 
3.8%
2.3 1
 
3.8%
Other values (12) 12
46.2%
ValueCountFrequency (%)
0.0 3
11.5%
0.7 1
 
3.8%
1.0 1
 
3.8%
1.1 1
 
3.8%
1.5 1
 
3.8%
1.6 1
 
3.8%
2.1 1
 
3.8%
2.2 1
 
3.8%
2.3 1
 
3.8%
2.5 2
7.7%
ValueCountFrequency (%)
13.6 1
3.8%
11.2 1
3.8%
10.4 1
3.8%
10.2 1
3.8%
4.1 2
7.7%
3.8 1
3.8%
3.6 1
3.8%
3.5 1
3.8%
3.4 1
3.8%
3.3 1
3.8%

전라남도(퍼센트)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6346154
Minimum0
Maximum10.6
Zeros3
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:17:18.076015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.65
median3.3
Q34.075
95-th percentile9.7
Maximum10.6
Range10.6
Interquartile range (IQR)2.425

Descriptive statistics

Standard deviation2.8883133
Coefficient of variation (CV)0.79466822
Kurtosis0.77972175
Mean3.6346154
Median Absolute Deviation (MAD)1.4
Skewness0.9631753
Sum94.5
Variance8.3423538
MonotonicityNot monotonic
2023-12-13T01:17:18.190120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 3
 
11.5%
3.3 2
 
7.7%
10.4 1
 
3.8%
7.6 1
 
3.8%
3.4 1
 
3.8%
2.9 1
 
3.8%
1.0 1
 
3.8%
10.6 1
 
3.8%
6.5 1
 
3.8%
4.1 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
0.0 3
11.5%
0.1 1
 
3.8%
0.9 1
 
3.8%
1.0 1
 
3.8%
1.4 1
 
3.8%
2.4 1
 
3.8%
2.7 1
 
3.8%
2.9 1
 
3.8%
3.0 1
 
3.8%
3.1 1
 
3.8%
ValueCountFrequency (%)
10.6 1
3.8%
10.4 1
3.8%
7.6 1
3.8%
7.0 1
3.8%
6.5 1
3.8%
5.4 1
3.8%
4.1 1
3.8%
4.0 1
3.8%
3.9 1
3.8%
3.8 1
3.8%

경상북도(퍼센트)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6038462
Minimum0
Maximum13.1
Zeros2
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:17:18.300498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05
Q13.4
median4.35
Q35.375
95-th percentile8.35
Maximum13.1
Range13.1
Interquartile range (IQR)1.975

Descriptive statistics

Standard deviation2.7758214
Coefficient of variation (CV)0.60293531
Kurtosis2.6066733
Mean4.6038462
Median Absolute Deviation (MAD)1
Skewness0.9226056
Sum119.7
Variance7.7051846
MonotonicityNot monotonic
2023-12-13T01:17:18.400160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 2
 
7.7%
4.6 2
 
7.7%
5.3 2
 
7.7%
3.4 2
 
7.7%
6.1 1
 
3.8%
3.5 1
 
3.8%
4.4 1
 
3.8%
4.3 1
 
3.8%
6.2 1
 
3.8%
8.4 1
 
3.8%
Other values (12) 12
46.2%
ValueCountFrequency (%)
0.0 2
7.7%
0.2 1
3.8%
2.8 1
3.8%
3.0 1
3.8%
3.1 1
3.8%
3.4 2
7.7%
3.5 1
3.8%
3.6 1
3.8%
3.8 1
3.8%
4.0 1
3.8%
ValueCountFrequency (%)
13.1 1
3.8%
8.4 1
3.8%
8.2 1
3.8%
7.8 1
3.8%
6.2 1
3.8%
6.1 1
3.8%
5.4 1
3.8%
5.3 2
7.7%
5.2 1
3.8%
4.6 2
7.7%

경상남도(퍼센트)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7538462
Minimum0
Maximum19.4
Zeros1
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:17:18.505274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q13.125
median5.9
Q36.675
95-th percentile10.875
Maximum19.4
Range19.4
Interquartile range (IQR)3.55

Descriptive statistics

Standard deviation4.0305067
Coefficient of variation (CV)0.70048914
Kurtosis4.2672528
Mean5.7538462
Median Absolute Deviation (MAD)1.7
Skewness1.4001312
Sum149.6
Variance16.244985
MonotonicityNot monotonic
2023-12-13T01:17:18.609549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5.8 2
 
7.7%
6.5 2
 
7.7%
0.1 2
 
7.7%
0.0 1
 
3.8%
5.1 1
 
3.8%
2.4 1
 
3.8%
6.6 1
 
3.8%
6.4 1
 
3.8%
6.7 1
 
3.8%
3.2 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
0.0 1
3.8%
0.1 2
7.7%
2.0 1
3.8%
2.3 1
3.8%
2.4 1
3.8%
3.1 1
3.8%
3.2 1
3.8%
4.5 1
3.8%
5.1 1
3.8%
5.3 1
3.8%
ValueCountFrequency (%)
19.4 1
3.8%
11.0 1
3.8%
10.5 1
3.8%
8.8 1
3.8%
7.9 1
3.8%
7.3 1
3.8%
6.7 1
3.8%
6.6 1
3.8%
6.5 2
7.7%
6.4 1
3.8%

제주도(퍼센트)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)65.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4961538
Minimum0
Maximum8.7
Zeros4
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:17:18.717195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.225
median1.95
Q33.125
95-th percentile6.725
Maximum8.7
Range8.7
Interquartile range (IQR)1.9

Descriptive statistics

Standard deviation2.141678
Coefficient of variation (CV)0.85799118
Kurtosis2.0222136
Mean2.4961538
Median Absolute Deviation (MAD)0.95
Skewness1.3571238
Sum64.9
Variance4.5867846
MonotonicityNot monotonic
2023-12-13T01:17:18.814239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 4
15.4%
1.6 3
11.5%
2.9 3
11.5%
1.2 2
 
7.7%
2.3 2
 
7.7%
8.7 1
 
3.8%
3.2 1
 
3.8%
2.4 1
 
3.8%
3.3 1
 
3.8%
4.2 1
 
3.8%
Other values (7) 7
26.9%
ValueCountFrequency (%)
0.0 4
15.4%
1.1 1
 
3.8%
1.2 2
7.7%
1.3 1
 
3.8%
1.4 1
 
3.8%
1.5 1
 
3.8%
1.6 3
11.5%
2.3 2
7.7%
2.4 1
 
3.8%
2.9 3
11.5%
ValueCountFrequency (%)
8.7 1
 
3.8%
7.2 1
 
3.8%
5.3 1
 
3.8%
4.8 1
 
3.8%
4.2 1
 
3.8%
3.3 1
 
3.8%
3.2 1
 
3.8%
2.9 3
11.5%
2.4 1
 
3.8%
2.3 2
7.7%

계(퍼센트)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
100
26 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 26
100.0%

Length

2023-12-13T01:17:18.929755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:17:19.010656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 26
100.0%

Sample

응답자 분류응답자 세부분류사례수서울(퍼센트)부산(퍼센트)대구(퍼센트)인천(퍼센트)광주(퍼센트)대전(퍼센트)울산(퍼센트)세종(퍼센트)경기도(퍼센트)강원도(퍼센트)충청북도(퍼센트)충청남도(퍼센트)전라북도(퍼센트)전라남도(퍼센트)경상북도(퍼센트)경상남도(퍼센트)제주도(퍼센트)계(퍼센트)
0거주지역서울54399.50.00.00.20.00.00.00.00.40.00.00.00.00.00.00.00.0100
1거주지역경기7531.50.10.00.30.30.00.00.097.50.00.00.10.00.00.00.10.0100
2거주지역광역시7770.126.618.817.713.010.512.60.00.30.00.10.00.00.00.20.10.0100
3거주지역기타지역10170.20.20.90.00.50.60.04.30.110.210.112.410.410.413.119.47.2100
4가구주 연령30대 이하22614.07.76.65.93.73.72.10.317.66.45.64.82.53.77.85.81.6100
5가구주 연령40대61218.25.65.63.63.62.34.73.320.83.74.65.12.53.04.66.02.9100
6가구주 연령50대86018.85.56.05.22.83.22.21.226.02.54.34.83.33.15.34.51.4100
7가구주 연령60대 이상139218.08.04.04.33.82.83.20.925.03.21.93.14.13.83.17.92.9100
8가구소득1분위5206.310.76.53.05.31.03.00.814.67.31.52.610.25.45.411.05.3100
9가구소득2분위55616.87.03.24.92.91.84.10.723.73.22.87.42.67.02.86.32.9100
응답자 분류응답자 세부분류사례수서울(퍼센트)부산(퍼센트)대구(퍼센트)인천(퍼센트)광주(퍼센트)대전(퍼센트)울산(퍼센트)세종(퍼센트)경기도(퍼센트)강원도(퍼센트)충청북도(퍼센트)충청남도(퍼센트)전라북도(퍼센트)전라남도(퍼센트)경상북도(퍼센트)경상남도(퍼센트)제주도(퍼센트)계(퍼센트)
16가구주 직업서비스/판매 종사자117319.35.75.05.25.13.32.51.531.51.72.02.52.12.43.45.31.6100
17가구주 직업기능원/단순노무직76510.710.17.54.22.53.54.11.721.72.55.74.64.14.13.08.81.2100
18가구주 직업기타3419.84.72.71.83.70.72.40.99.37.91.19.911.26.58.210.58.7100
19결혼여부신혼10911.27.33.73.94.14.05.70.323.55.34.01.03.610.65.36.50.0100
20결혼여부기혼261419.06.84.84.43.62.73.21.525.13.03.04.42.33.34.06.52.3100
21결혼여부미혼8916.06.110.82.34.15.11.20.020.54.55.92.83.81.08.43.24.2100
22결혼여부기타27910.86.75.56.81.72.62.31.814.45.45.73.513.62.96.26.73.3100
23주택 보유여부유주택309017.96.85.04.63.52.93.21.423.93.33.44.13.43.44.36.42.4100
24주택 보유/거주유주택 자가거주298417.66.95.14.73.42.63.11.524.23.43.34.13.53.34.46.62.3100
25주택 보유/거주유주택 임차거주10626.34.83.80.05.38.94.80.517.42.14.34.11.17.63.52.43.2100