gimi9 Pandas Profiling

Dataset statistics

Number of variables	14
Number of observations	50
Missing cells	28
Missing cells (%)	4.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	6.2 KiB
Average record size in memory	126.6 B

Variable types

Categorical	3
Text	1
Numeric	10

Dataset

Description	인천광역시 군구별, 성별, 연령별, 학력별, 직업별, 소득별, 주거형태별 등 가장 많이 이용하는 교통수단에 대한 통계 데이터 입니다. (단위: 퍼센트)
Author	인천광역시
URL	https://data.incheon.go.kr/findData/publicDataDetail?dataId=15066306&srcSe=7661IVAWM27C61E190

Alerts

`자가용(승용차) (퍼센트)` is highly overall correlated with `시내버스 (퍼센트)` and 1 other fields	High correlation
`시내버스 (퍼센트)` is highly overall correlated with `자가용(승용차) (퍼센트)`	High correlation
`도보 (퍼센트)` is highly overall correlated with `자가용(승용차) (퍼센트)`	High correlation
`시외_고속버스 (퍼센트)` is highly overall correlated with `철도(KTX 새마을 무궁화 등) (퍼센트)`	High correlation
`기타 (퍼센트)` is highly overall correlated with `철도(KTX 새마을 무궁화 등) (퍼센트)`	High correlation
`철도(KTX 새마을 무궁화 등) (퍼센트)` is highly overall correlated with `시외_고속버스 (퍼센트)` and 2 other fields	High correlation
`1인 교통수단(전동휠 전동퀵보드 등) (퍼센트)` is highly overall correlated with `철도(KTX 새마을 무궁화 등) (퍼센트)`	High correlation
`도시철도(지하철 경전철 등) (퍼센트)` has 1 (2.0%) missing values	Missing
`통근 및 통학버스 (퍼센트)` has 1 (2.0%) missing values	Missing
`시외_고속버스 (퍼센트)` has 3 (6.0%) missing values	Missing
`자전거 (퍼센트)` has 1 (2.0%) missing values	Missing
`오토바이 (퍼센트)` has 5 (10.0%) missing values	Missing
`택시 (퍼센트)` has 12 (24.0%) missing values	Missing
`기타 (퍼센트)` has 5 (10.0%) missing values	Missing
`특성별(2)` has unique values	Unique
`기타 (퍼센트)` has 2 (4.0%) zeros	Zeros

Reproduction

Analysis started	2024-03-18 02:18:59.986093
Analysis finished	2024-03-18 02:19:09.040253
Duration	9.05 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

특성별(1)
Categorical

Distinct	9
Distinct (%)	18.0%
Missing	0
Missing (%)	0.0%
Memory size	532.0 B

군구별	10
직업별	8
월평균소득별	8
연령별	6
가구원수별	5
Other values (4)	13

Length

Max length	7
Median length	3
Mean length	4.04
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	군구별
2nd row	군구별
3rd row	군구별
4th row	군구별
5th row	군구별

Common Values

Value	Count	Frequency (%)
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

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
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

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	532.0 B

Length

Max length	12
Median length	7.5
Mean length	4.92
Min length	2

Characters and Unicode

Total characters	246
Distinct characters	76
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50 ?
Unique (%)	100.0%

Sample

1st row	중구
2nd row	동구
3rd row	미추홀구
4th row	연수구
5th row	남동구

Value	Count	Frequency (%)
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%

Most occurring characters

Value	Count	Frequency (%)
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

Value	Count	Frequency (%)
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

Value	Count	Frequency (%)
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

Value	Count	Frequency (%)
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

Value	Count	Frequency (%)
	22	100.0%

Math Symbol

Value	Count	Frequency (%)
~	11	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	142	57.7%
Common	104	42.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
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

Value	Count	Frequency (%)
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

Value	Count	Frequency (%)
Hangul	142	57.7%
ASCII	104	42.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
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

Value	Count	Frequency (%)
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%

자가용(승용차) (퍼센트)
Real number (ℝ)

HIGH CORRELATION

Distinct	47
Distinct (%)	94.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	44.358

Minimum	21.8
Maximum	66.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	582.0 B

Quantile statistics

Minimum	21.8
5-th percentile	27.9
Q1	36.1
median	45.55
Q3	53.275
95-th percentile	61.06
Maximum	66.5
Range	44.7
Interquartile range (IQR)	17.175

Descriptive statistics

Standard deviation	10.902819
Coefficient of variation (CV)	0.2457915
Kurtosis	-0.89114586
Mean	44.358
Median Absolute Deviation (MAD)	8.55
Skewness	-0.08729714
Sum	2217.9
Variance	118.87147
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
55.4	3	6.0%
37.6	2	4.0%
61.7	1	2.0%
53.2	1	2.0%
21.8	1	2.0%
24.9	1	2.0%
39.1	1	2.0%
49.4	1	2.0%
51.3	1	2.0%
52.3	1	2.0%
Other values (37)	37	74.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
21.8	1	2.0%
24.9	1	2.0%
27.0	1	2.0%
29.0	1	2.0%
29.1	1	2.0%
30.2	1	2.0%
30.7	1	2.0%
31.4	1	2.0%
34.0	1	2.0%
34.4	1	2.0%

Value	Count	Frequency (%)
66.5	1	2.0%
61.7	1	2.0%
61.6	1	2.0%
60.4	1	2.0%
59.3	1	2.0%
55.5	1	2.0%
55.4	3	6.0%
54.3	1	2.0%
54.1	1	2.0%
53.9	1	2.0%

시내버스 (퍼센트)
Real number (ℝ)

HIGH CORRELATION

Distinct	41
Distinct (%)	82.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.97

Minimum	4.2
Maximum	32.3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	582.0 B

Quantile statistics

Minimum	4.2
5-th percentile	7.795
Q1	15.2
median	16.95
Q3	22
95-th percentile	26.82
Maximum	32.3
Range	28.1
Interquartile range (IQR)	6.8

Descriptive statistics

Standard deviation	5.647331
Coefficient of variation (CV)	0.31426438
Kurtosis	0.59239323
Mean	17.97
Median Absolute Deviation (MAD)	3
Skewness	0.092057565
Sum	898.5
Variance	31.892347
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
15.2	3	6.0%
15.8	3	6.0%
17.1	2	4.0%
19.6	2	4.0%
16.3	2	4.0%
23.5	2	4.0%
15.7	2	4.0%
13.9	1	2.0%
30.0	1	2.0%
19.5	1	2.0%
Other values (31)	31	62.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4.2	1	2.0%
6.2	1	2.0%
6.4	1	2.0%
9.5	1	2.0%
13.4	1	2.0%
13.6	1	2.0%
13.7	1	2.0%
13.8	1	2.0%
13.9	1	2.0%
14.0	1	2.0%

Value	Count	Frequency (%)
32.3	1	2.0%
30.0	1	2.0%
27.0	1	2.0%
26.6	1	2.0%
25.6	1	2.0%
24.2	1	2.0%
24.0	1	2.0%
23.6	1	2.0%
23.5	2	4.0%
23.0	1	2.0%

도시철도(지하철 경전철 등) (퍼센트)
Real number (ℝ)

MISSING

Distinct	43
Distinct (%)	87.8%
Missing	1
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.102041

Minimum	0.3
Maximum	23.3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	582.0 B

Quantile statistics

Minimum	0.3
5-th percentile	4.8
Q1	9.3
median	12.5
Q3	14.2
95-th percentile	21.14
Maximum	23.3
Range	23
Interquartile range (IQR)	4.9

Descriptive statistics

Standard deviation	4.7015286
Coefficient of variation (CV)	0.38849056
Kurtosis	0.92893073
Mean	12.102041
Median Absolute Deviation (MAD)	2.1
Skewness	0.1676391
Sum	593
Variance	22.104371
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
14.2	3	6.0%
7.8	2	4.0%
8.6	2	4.0%
13.3	2	4.0%
13.1	2	4.0%
10.5	1	2.0%
14.0	1	2.0%
21.7	1	2.0%
8.8	1	2.0%
10.6	1	2.0%
Other values (33)	33	66.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.3	1	2.0%
2.1	1	2.0%
3.8	1	2.0%
6.3	1	2.0%
6.6	1	2.0%
7.7	1	2.0%
7.8	2	4.0%
8.2	1	2.0%
8.6	2	4.0%
8.8	1	2.0%

Value	Count	Frequency (%)
23.3	1	2.0%
22.9	1	2.0%
21.7	1	2.0%
20.3	1	2.0%
20.2	1	2.0%
15.9	1	2.0%
15.7	1	2.0%
15.6	1	2.0%
14.9	1	2.0%
14.4	1	2.0%

도보 (퍼센트)
Real number (ℝ)

HIGH CORRELATION

Distinct	46
Distinct (%)	92.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19.836

Minimum	4.3
Maximum	50.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	582.0 B

Quantile statistics

Minimum	4.3
5-th percentile	9.165
Q1	13.475
median	16.65
Q3	24.05
95-th percentile	42.71
Maximum	50.5
Range	46.2
Interquartile range (IQR)	10.575

Descriptive statistics

Standard deviation	10.295566
Coefficient of variation (CV)	0.51903438
Kurtosis	1.1091408
Mean	19.836
Median Absolute Deviation (MAD)	5.2
Skewness	1.220238
Sum	991.8
Variance	105.99868
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=46)

Value	Count	Frequency (%)
10.9	2	4.0%
16.7	2	4.0%
21.9	2	4.0%
13.9	2	4.0%
10.2	1	2.0%
10.8	1	2.0%
19.7	1	2.0%
6.1	1	2.0%
42.6	1	2.0%
33.4	1	2.0%
Other values (36)	36	72.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4.3	1	2.0%
6.1	1	2.0%
8.4	1	2.0%
10.1	1	2.0%
10.2	1	2.0%
10.8	1	2.0%
10.9	2	4.0%
11.1	1	2.0%
11.5	1	2.0%
11.6	1	2.0%

Value	Count	Frequency (%)
50.5	1	2.0%
44.2	1	2.0%
42.8	1	2.0%
42.6	1	2.0%
33.4	1	2.0%
33.2	1	2.0%
32.5	1	2.0%
32.3	1	2.0%
29.7	1	2.0%
28.8	1	2.0%

통근 및 통학버스 (퍼센트)
Real number (ℝ)

MISSING

Distinct	23
Distinct (%)	46.9%
Missing	1
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.722449

Minimum	0.4
Maximum	5.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	582.0 B

Quantile statistics

Minimum	0.4
5-th percentile	0.8
Q1	1.2
median	1.6
Q3	2.1
95-th percentile	2.86
Maximum	5.9
Range	5.5
Interquartile range (IQR)	0.9

Descriptive statistics

Standard deviation	0.87993023
Coefficient of variation (CV)	0.51085997
Kurtosis	9.4875322
Mean	1.722449
Median Absolute Deviation (MAD)	0.4
Skewness	2.2426463
Sum	84.4
Variance	0.77427721
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
1.2	6	12.0%
2.0	5	10.0%
0.8	4	8.0%
1.4	3	6.0%
2.6	3	6.0%
1.7	3	6.0%
1.1	2	4.0%
1.5	2	4.0%
1.8	2	4.0%
2.3	2	4.0%
Other values (13)	17	34.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.4	1	2.0%
0.5	1	2.0%
0.8	4	8.0%
0.9	1	2.0%
1.0	2	4.0%
1.1	2	4.0%
1.2	6	12.0%
1.3	1	2.0%
1.4	3	6.0%
1.5	2	4.0%

Value	Count	Frequency (%)
5.9	1	2.0%
2.9	2	4.0%
2.8	1	2.0%
2.6	3	6.0%
2.4	1	2.0%
2.3	2	4.0%
2.2	1	2.0%
2.1	2	4.0%
2.0	5	10.0%
1.9	1	2.0%

시외_고속버스 (퍼센트)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	21
Distinct (%)	44.7%
Missing	3
Missing (%)	6.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.5021277

Minimum	0.2
Maximum	3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	582.0 B

Quantile statistics

Minimum	0.2
5-th percentile	0.59
Q1	1.2
median	1.5
Q3	1.75
95-th percentile	2.57
Maximum	3
Range	2.8
Interquartile range (IQR)	0.55

Descriptive statistics

Standard deviation	0.58588074
Coefficient of variation (CV)	0.39003392
Kurtosis	0.59533931
Mean	1.5021277
Median Absolute Deviation (MAD)	0.3
Skewness	0.22718201
Sum	70.6
Variance	0.34325624
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
1.7	6	12.0%
1.4	5	10.0%
1.2	5	10.0%
1.6	4	8.0%
0.8	4	8.0%
1.5	3	6.0%
2.1	3	6.0%
1.8	2	4.0%
2.0	2	4.0%
1.3	2	4.0%
Other values (11)	11	22.0%
(Missing)	3	6.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.2	1	2.0%
0.3	1	2.0%
0.5	1	2.0%
0.8	4	8.0%
0.9	1	2.0%
1.0	1	2.0%
1.1	1	2.0%
1.2	5	10.0%
1.3	2	4.0%
1.4	5	10.0%

Value	Count	Frequency (%)
3.0	1	2.0%
2.8	1	2.0%
2.6	1	2.0%
2.5	1	2.0%
2.1	3	6.0%
2.0	2	4.0%
1.9	1	2.0%
1.8	2	4.0%
1.7	6	12.0%
1.6	4	8.0%

자전거 (퍼센트)
Real number (ℝ)

MISSING

Distinct	24
Distinct (%)	49.0%
Missing	1
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.6142857

Minimum	0.3
Maximum	6.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	582.0 B

Quantile statistics

Minimum	0.3
5-th percentile	0.64
Q1	1.1
median	1.4
Q3	1.8
95-th percentile	2.86
Maximum	6.8
Range	6.5
Interquartile range (IQR)	0.7

Descriptive statistics

Standard deviation	1.0835897
Coefficient of variation (CV)	0.67125026
Kurtosis	11.98701
Mean	1.6142857
Median Absolute Deviation (MAD)	0.4
Skewness	3.0244147
Sum	79.1
Variance	1.1741667
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
1.1	5	10.0%
1.7	5	10.0%
1.6	4	8.0%
1.3	4	8.0%
1.2	3	6.0%
1.0	3	6.0%
0.9	2	4.0%
0.7	2	4.0%
2.2	2	4.0%
2.0	2	4.0%
Other values (14)	17	34.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.3	1	2.0%
0.4	1	2.0%
0.6	1	2.0%
0.7	2	4.0%
0.8	2	4.0%
0.9	2	4.0%
1.0	3	6.0%
1.1	5	10.0%
1.2	3	6.0%
1.3	4	8.0%

Value	Count	Frequency (%)
6.8	1	2.0%
5.1	1	2.0%
2.9	1	2.0%
2.8	1	2.0%
2.5	1	2.0%
2.4	1	2.0%
2.2	2	4.0%
2.0	2	4.0%
1.9	1	2.0%
1.8	2	4.0%

오토바이 (퍼센트)
Real number (ℝ)

MISSING

Distinct	14
Distinct (%)	31.1%
Missing	5
Missing (%)	10.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.60222222

Minimum	0.1
Maximum	3.2
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	582.0 B

Quantile statistics

Minimum	0.1
5-th percentile	0.1
Q1	0.3
median	0.4
Q3	0.7
95-th percentile	1.28
Maximum	3.2
Range	3.1
Interquartile range (IQR)	0.4

Descriptive statistics

Standard deviation	0.58133424
Coefficient of variation (CV)	0.96531515
Kurtosis	10.366754
Mean	0.60222222
Median Absolute Deviation (MAD)	0.2
Skewness	2.9357769
Sum	27.1
Variance	0.33794949
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0.4	7	14.0%
0.3	7	14.0%
0.2	5	10.0%
0.5	5	10.0%
0.1	4	8.0%
0.7	4	8.0%
0.6	4	8.0%
0.8	2	4.0%
1.2	2	4.0%
3.2	1	2.0%
Other values (4)	4	8.0%
(Missing)	5	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.1	4	8.0%
0.2	5	10.0%
0.3	7	14.0%
0.4	7	14.0%
0.5	5	10.0%
0.6	4	8.0%
0.7	4	8.0%
0.8	2	4.0%
1.0	1	2.0%
1.1	1	2.0%

Value	Count	Frequency (%)
3.2	1	2.0%
2.5	1	2.0%
1.3	1	2.0%
1.2	2	4.0%
1.1	1	2.0%
1.0	1	2.0%
0.8	2	4.0%
0.7	4	8.0%
0.6	4	8.0%
0.5	5	10.0%

택시 (퍼센트)
Real number (ℝ)

MISSING

Distinct	7
Distinct (%)	18.4%
Missing	12
Missing (%)	24.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.29210526

Minimum	0.1
Maximum	0.7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	582.0 B

Quantile statistics

Minimum	0.1
5-th percentile	0.1
Q1	0.2
median	0.2
Q3	0.375
95-th percentile	0.615
Maximum	0.7
Range	0.6
Interquartile range (IQR)	0.175

Descriptive statistics

Standard deviation	0.17915957
Coefficient of variation (CV)	0.61333906
Kurtosis	-0.0091892342
Mean	0.29210526
Median Absolute Deviation (MAD)	0.1
Skewness	0.98794488
Sum	11.1
Variance	0.032098151
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0.2	12	24.0%
0.1	8	16.0%
0.3	8	16.0%
0.6	4	8.0%
0.4	3	6.0%
0.7	2	4.0%
0.5	1	2.0%
(Missing)	12	24.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.1	8	16.0%
0.2	12	24.0%
0.3	8	16.0%
0.4	3	6.0%
0.5	1	2.0%
0.6	4	8.0%
0.7	2	4.0%

Value	Count	Frequency (%)
0.7	2	4.0%
0.6	4	8.0%
0.5	1	2.0%
0.4	3	6.0%
0.3	8	16.0%
0.2	12	24.0%
0.1	8	16.0%

철도(KTX 새마을 무궁화 등) (퍼센트)
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	532.0 B

<NA>	31
0.1	10
0.0	6
0.2	2
1.0	1

Length

Max length	4
Median length	4
Mean length	3.62
Min length	3

Unique

Unique	1 ?
Unique (%)	2.0%

Sample

1st row	1.0
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	31	62.0%
0.1	10	20.0%
0.0	6	12.0%
0.2	2	4.0%
1.0	1	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	31	62.0%
0.1	10	20.0%
0.0	6	12.0%
0.2	2	4.0%
1.0	1	2.0%

1인 교통수단(전동휠 전동퀵보드 등) (퍼센트)
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Memory size	532.0 B

<NA>	29
0.1	11
0.0	6
0.2	4

Length

Max length	4
Median length	4
Mean length	3.58
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	<NA>
2nd row	0.2
3rd row	<NA>
4th row	0.2
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	29	58.0%
0.1	11	22.0%
0.0	6	12.0%
0.2	4	8.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	29	58.0%
0.1	11	22.0%
0.0	6	12.0%
0.2	4	8.0%

기타 (퍼센트)
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	12
Distinct (%)	26.7%
Missing	5
Missing (%)	10.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.45555556

Minimum	0
Maximum	1.6
Zeros	2
Zeros (%)	4.0%
Negative	0
Negative (%)	0.0%
Memory size	582.0 B

Quantile statistics

Minimum	0
5-th percentile	0.1
Q1	0.3
median	0.4
Q3	0.5
95-th percentile	0.88
Maximum	1.6
Range	1.6
Interquartile range (IQR)	0.2

Descriptive statistics

Standard deviation	0.30641294
Coefficient of variation (CV)	0.67261377
Kurtosis	4.0819546
Mean	0.45555556
Median Absolute Deviation (MAD)	0.1
Skewness	1.5780568
Sum	20.5
Variance	0.093888889
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
0.5	9	18.0%
0.3	8	16.0%
0.4	7	14.0%
0.2	5	10.0%
0.7	5	10.0%
0.1	3	6.0%
0.0	2	4.0%
0.8	2	4.0%
0.9	1	2.0%
1.3	1	2.0%
Other values (2)	2	4.0%
(Missing)	5	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	2	4.0%
0.1	3	6.0%
0.2	5	10.0%
0.3	8	16.0%
0.4	7	14.0%
0.5	9	18.0%
0.6	1	2.0%
0.7	5	10.0%
0.8	2	4.0%
0.9	1	2.0%

Value	Count	Frequency (%)
1.6	1	2.0%
1.3	1	2.0%
0.9	1	2.0%
0.8	2	4.0%
0.7	5	10.0%
0.6	1	2.0%
0.5	9	18.0%
0.4	7	14.0%
0.3	8	16.0%
0.2	5	10.0%

Heatmap
Table

	특성별(1)	특성별(2)	자가용(승용차) (퍼센트)	시내버스 (퍼센트)	도시철도(지하철 경전철 등) (퍼센트)	도보 (퍼센트)	통근 및 통학버스 (퍼센트)	시외_고속버스 (퍼센트)	자전거 (퍼센트)	오토바이 (퍼센트)	택시 (퍼센트)	철도(KTX 새마을 무궁화 등) (퍼센트)	1인 교통수단(전동휠 전동퀵보드 등) (퍼센트)	기타 (퍼센트)
특성별(1)	1.000	1.000	0.447	0.000	0.000	0.530	0.000	0.372	0.000	0.000	0.000	0.610	0.810	0.334
특성별(2)	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
자가용(승용차) (퍼센트)	0.447	1.000	1.000	0.714	0.000	0.578	0.000	0.000	0.000	0.456	0.283	0.381	0.686	0.373
시내버스 (퍼센트)	0.000	1.000	0.714	1.000	0.809	0.829	0.586	0.286	0.716	0.433	0.000	0.164	0.159	0.491
도시철도(지하철 경전철 등) (퍼센트)	0.000	1.000	0.000	0.809	1.000	0.805	0.465	0.506	0.534	0.661	0.477	0.392	0.286	0.438
도보 (퍼센트)	0.530	1.000	0.578	0.829	0.805	1.000	0.475	0.000	0.428	0.656	0.174	0.000	0.454	0.609
통근 및 통학버스 (퍼센트)	0.000	1.000	0.000	0.586	0.465	0.475	1.000	0.456	0.634	0.108	0.000	0.412	0.267	0.319
시외_고속버스 (퍼센트)	0.372	1.000	0.000	0.286	0.506	0.000	0.456	1.000	0.492	0.247	0.640	0.768	0.000	0.537
자전거 (퍼센트)	0.000	1.000	0.000	0.716	0.534	0.428	0.634	0.492	1.000	0.611	0.299	0.536	0.303	0.656
오토바이 (퍼센트)	0.000	1.000	0.456	0.433	0.661	0.656	0.108	0.247	0.611	1.000	0.572	0.654	0.246	0.711
택시 (퍼센트)	0.000	1.000	0.283	0.000	0.477	0.174	0.000	0.640	0.299	0.572	1.000	0.343	0.000	0.587
철도(KTX 새마을 무궁화 등) (퍼센트)	0.610	1.000	0.381	0.164	0.392	0.000	0.412	0.768	0.536	0.654	0.343	1.000	0.942	0.858
1인 교통수단(전동휠 전동퀵보드 등) (퍼센트)	0.810	1.000	0.686	0.159	0.286	0.454	0.267	0.000	0.303	0.246	0.000	0.942	1.000	0.000
기타 (퍼센트)	0.334	1.000	0.373	0.491	0.438	0.609	0.319	0.537	0.656	0.711	0.587	0.858	0.000	1.000

Heatmap
Table

	철도(KTX 새마을 무궁화 등) (퍼센트)	특성별(1)	1인 교통수단(전동휠 전동퀵보드 등) (퍼센트)
철도(KTX 새마을 무궁화 등) (퍼센트)	1.000	0.327	0.692
특성별(1)	0.327	1.000	0.404
1인 교통수단(전동휠 전동퀵보드 등) (퍼센트)	0.692	0.404	1.000

Heatmap
Table

	자가용(승용차) (퍼센트)	시내버스 (퍼센트)	도시철도(지하철 경전철 등) (퍼센트)	도보 (퍼센트)	통근 및 통학버스 (퍼센트)	시외_고속버스 (퍼센트)	자전거 (퍼센트)	오토바이 (퍼센트)	택시 (퍼센트)	기타 (퍼센트)	특성별(1)	철도(KTX 새마을 무궁화 등) (퍼센트)	1인 교통수단(전동휠 전동퀵보드 등) (퍼센트)
자가용(승용차) (퍼센트)	1.000	-0.659	-0.112	-0.709	-0.098	-0.283	-0.466	-0.074	-0.376	0.147	0.209	0.199	0.401
시내버스 (퍼센트)	-0.659	1.000	0.223	0.223	0.224	0.166	0.359	-0.178	0.169	-0.320	0.000	0.056	0.000
도시철도(지하철 경전철 등) (퍼센트)	-0.112	0.223	1.000	-0.345	0.116	0.222	0.019	-0.379	-0.093	-0.369	0.000	0.208	0.126
도보 (퍼센트)	-0.709	0.223	-0.345	1.000	-0.166	0.009	0.271	0.360	0.331	0.123	0.184	0.000	0.244
통근 및 통학버스 (퍼센트)	-0.098	0.224	0.116	-0.166	1.000	0.206	0.300	0.022	0.098	-0.105	0.000	0.297	0.000
시외_고속버스 (퍼센트)	-0.283	0.166	0.222	0.009	0.206	1.000	0.415	-0.219	-0.075	-0.398	0.108	0.573	0.000
자전거 (퍼센트)	-0.466	0.359	0.019	0.271	0.300	0.415	1.000	0.238	0.069	-0.054	0.000	0.175	0.000
오토바이 (퍼센트)	-0.074	-0.178	-0.379	0.360	0.022	-0.219	0.238	1.000	0.305	0.460	0.000	0.421	0.209
택시 (퍼센트)	-0.376	0.169	-0.093	0.331	0.098	-0.075	0.069	0.305	1.000	0.366	0.000	0.252	0.000
기타 (퍼센트)	0.147	-0.320	-0.369	0.123	-0.105	-0.398	-0.054	0.460	0.366	1.000	0.082	0.669	0.095
특성별(1)	0.209	0.000	0.000	0.184	0.000	0.108	0.000	0.000	0.000	0.082	1.000	0.327	0.404
철도(KTX 새마을 무궁화 등) (퍼센트)	0.199	0.056	0.208	0.000	0.297	0.573	0.175	0.421	0.252	0.669	0.327	1.000	0.692
1인 교통수단(전동휠 전동퀵보드 등) (퍼센트)	0.401	0.000	0.126	0.244	0.000	0.000	0.000	0.209	0.000	0.095	0.404	0.692	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	특성별(1)	특성별(2)	자가용(승용차) (퍼센트)	시내버스 (퍼센트)	도시철도(지하철 경전철 등) (퍼센트)	도보 (퍼센트)	통근 및 통학버스 (퍼센트)	시외_고속버스 (퍼센트)	자전거 (퍼센트)	오토바이 (퍼센트)	택시 (퍼센트)	철도(KTX 새마을 무궁화 등) (퍼센트)	1인 교통수단(전동휠 전동퀵보드 등) (퍼센트)	기타 (퍼센트)
0	군구별	중구	61.7	13.9	7.7	10.2	2.9	0.3	0.4	0.4	0.6	1.0	<NA>	0.9
1	군구별	동구	48.0	18.3	7.8	19.1	2.8	0.8	2.9	<NA>	0.1	<NA>	0.2	<NA>
2	군구별	미추홀구	45.4	26.6	7.8	17.1	1.0	0.8	0.3	0.1	0.3	<NA>	<NA>	0.4
3	군구별	연수구	61.6	14.4	6.6	10.9	2.2	1.7	1.3	0.7	0.2	<NA>	0.2	0.2
4	군구별	남동구	53.3	16.7	11.7	14.1	0.9	1.4	1.1	0.3	0.1	<NA>	<NA>	0.3
5	군구별	부평구	37.6	15.8	20.3	16.7	2.4	3.0	2.8	0.3	0.7	<NA>	<NA>	0.3
6	군구별	계양구	30.7	20.7	22.9	22.4	0.8	0.2	1.2	0.7	<NA>	<NA>	0.1	0.3
7	군구별	서구	45.7	17.1	13.1	17.5	2.0	2.1	1.7	0.2	0.1	<NA>	<NA>	0.5
8	군구별	강화군	53.9	6.2	0.3	33.2	0.4	0.8	1.3	3.2	<NA>	<NA>	<NA>	0.7
9	군구별	옹진군	47.2	4.2	<NA>	44.2	1.2	<NA>	0.6	1.3	<NA>	<NA>	<NA>	1.3

	특성별(1)	특성별(2)	자가용(승용차) (퍼센트)	시내버스 (퍼센트)	도시철도(지하철 경전철 등) (퍼센트)	도보 (퍼센트)	통근 및 통학버스 (퍼센트)	시외_고속버스 (퍼센트)	자전거 (퍼센트)	오토바이 (퍼센트)	택시 (퍼센트)	철도(KTX 새마을 무궁화 등) (퍼센트)	1인 교통수단(전동휠 전동퀵보드 등) (퍼센트)	기타 (퍼센트)
40	주거형태별	연립/다세대주택	35.9	25.6	15.6	16.0	2.0	1.2	2.4	0.6	0.2	0.0	0.0	0.5
41	주거형태별	기타	37.0	15.2	14.2	26.5	2.1	1.6	2.0	0.7	0.3	<NA>	<NA>	0.5
42	주거점유형태별	자가	48.4	16.1	13.1	16.5	1.7	1.7	1.5	0.4	0.2	0.0	0.0	0.4
43	주거점유형태별	전세	44.2	21.0	13.7	16.6	1.6	1.2	0.9	0.2	0.2	0.1	<NA>	0.4
44	주거점유형태별	월세 및 기타	40.9	23.0	11.1	18.2	1.7	1.5	1.8	1.0	0.3	<NA>	0.2	0.4
45	가구원수별	1인	38.2	24.0	10.4	21.9	2.0	0.5	0.7	0.5	0.6	0.2	0.2	0.7
46	가구원수별	2인	38.6	19.6	13.5	21.9	1.4	1.6	2.2	0.8	0.3	<NA>	0.1	0.0
47	가구원수별	3인	50.5	15.8	14.1	13.7	1.8	1.6	1.1	0.5	0.3	0.1	<NA>	0.4
48	가구원수별	4인	49.9	17.2	13.0	14.3	1.2	1.7	1.7	0.3	0.1	<NA>	<NA>	0.6
49	가구원수별	5인 이상	47.7	16.3	10.8	19.4	2.6	1.7	1.2	<NA>	<NA>	<NA>	<NA>	0.1

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Space Separator

Math Symbol

Other Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Interactions

Correlations

Missing values

Sample