gimi9 Pandas Profiling

Dataset statistics

Number of variables	19
Number of observations	34
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	5.6 KiB
Average record size in memory	168.8 B

Variable types

Categorical	4
Text	3
Numeric	12

Dataset

Description	화성시 버스공영제는 공영버스 공급 확대와 서비스 향상을 통해 시민의 이동권을 보장하고 대중교통 이용 활성화를 통해 온실가스 감축 등 기후위기 대응과 지역경제 활성화를 도모하는 화성시 그린뉴딜 정책 사업이며 노선번호별 버스 이용객 현황을 제공합니다.
Author	화성도시공사
URL	https://www.data.go.kr/data/15102558/fileData.do

Alerts

`연도` has constant value ""	Constant
`데이터기준일자` has constant value ""	Constant
`버스노선 운행시간표 선정 기준` has constant value ""	Constant
`1월이용객수` is highly overall correlated with `2월이용객수` and 10 other fields	High correlation
`2월이용객수` is highly overall correlated with `1월이용객수` and 10 other fields	High correlation
`3월이용객수` is highly overall correlated with `1월이용객수` and 10 other fields	High correlation
`4월이용객수` is highly overall correlated with `1월이용객수` and 10 other fields	High correlation
`5월이용객수` is highly overall correlated with `1월이용객수` and 10 other fields	High correlation
`6월이용객수` is highly overall correlated with `1월이용객수` and 10 other fields	High correlation
`7월이용객수` is highly overall correlated with `1월이용객수` and 10 other fields	High correlation
`8월이용객수` is highly overall correlated with `1월이용객수` and 10 other fields	High correlation
`9월이용객수` is highly overall correlated with `1월이용객수` and 10 other fields	High correlation
`10월이용객수` is highly overall correlated with `1월이용객수` and 10 other fields	High correlation
`11월이용객수` is highly overall correlated with `1월이용객수` and 10 other fields	High correlation
`12월이용객수` is highly overall correlated with `1월이용객수` and 10 other fields	High correlation
`노선번호` has unique values	Unique
`7월이용객수` has unique values	Unique
`8월이용객수` has unique values	Unique
`9월이용객수` has unique values	Unique
`10월이용객수` has unique values	Unique
`11월이용객수` has unique values	Unique
`12월이용객수` has unique values	Unique

Reproduction

Analysis started	2024-03-14 16:08:07.459375
Analysis finished	2024-03-14 16:08:40.087103
Duration	32.63 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

구분
Categorical

Distinct	2
Distinct (%)	5.9%
Missing	0
Missing (%)	0.0%
Memory size	400.0 B

마을버스	18
시내버스	16

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	마을버스
2nd row	마을버스
3rd row	시내버스
4th row	시내버스
5th row	시내버스

Common Values

Value	Count	Frequency (%)
마을버스	18	52.9%
시내버스	16	47.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
마을버스	18	52.9%
시내버스	16	47.1%

노선번호
Text

UNIQUE

Distinct	34
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	400.0 B

Length

Max length	6
Median length	5
Mean length	4.2941176
Min length	2

Characters and Unicode

Total characters	146
Distinct characters	14
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

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

Unique

Unique	34 ?
Unique (%)	100.0%

Sample

1st row	H1
2nd row	H100
3rd row	H101
4th row	H102
5th row	H103

Value	Count	Frequency (%)
h1	1	2.9%
h100	1	2.9%
h51	1	2.9%
h50-9	1	2.9%
h50-7	1	2.9%
h50-6b	1	2.9%
h50-6a	1	2.9%
h50-4b	1	2.9%
h50-3	1	2.9%
h10-6	1	2.9%
Other values (24)	24	70.6%

Most occurring characters

Value	Count	Frequency (%)
H	34	23.3%
1	27	18.5%
0	25	17.1%
-	12	8.2%
5	11	7.5%
2	8	5.5%
3	7	4.8%
6	6	4.1%
4	6	4.1%
B	3	2.1%
Other values (4)	7	4.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	95	65.1%
Uppercase Letter	39	26.7%
Dash Punctuation	12	8.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	27	28.4%
0	25	26.3%
5	11	11.6%
2	8	8.4%
3	7	7.4%
6	6	6.3%
4	6	6.3%
7	3	3.2%
8	1	1.1%
9	1	1.1%

Uppercase Letter

Value	Count	Frequency (%)
H	34	87.2%
B	3	7.7%
A	2	5.1%

Dash Punctuation

Value	Count	Frequency (%)
-	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	107	73.3%
Latin	39	26.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	27	25.2%
0	25	23.4%
-	12	11.2%
5	11	10.3%
2	8	7.5%
3	7	6.5%
6	6	5.6%
4	6	5.6%
7	3	2.8%
8	1	0.9%

Latin

Value	Count	Frequency (%)
H	34	87.2%
B	3	7.7%
A	2	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	146	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
H	34	23.3%
1	27	18.5%
0	25	17.1%
-	12	8.2%
5	11	7.5%
2	8	5.5%
3	7	4.8%
6	6	4.1%
4	6	4.1%
B	3	2.1%
Other values (4)	7	4.8%

기점
Text

Distinct	19
Distinct (%)	55.9%
Missing	0
Missing (%)	0.0%
Memory size	400.0 B

Length

Max length	8
Median length	6.5
Mean length	4.0588235
Min length	2

Characters and Unicode

Total characters	138
Distinct characters	51
Distinct categories	3 ?
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	14 ?
Unique (%)	41.2%

Sample

1st row	동탄2차고지
2nd row	동탄2차고지
3rd row	영천동
4th row	동탄2차고지
5th row	향남

Value	Count	Frequency (%)
향남	8	22.9%
신경대학	4	11.4%
동탄2차고지	3	8.6%
화성의과학대학	3	8.6%
전곡항	2	5.7%
그린환경센터	1	2.9%
환승센터	1	2.9%
수원역	1	2.9%
화성시청	1	2.9%
향남1	1	2.9%
Other values (10)	10	28.6%

Most occurring characters

Value	Count	Frequency (%)
남	12	8.7%
향	11	8.0%
학	10	7.2%
대	7	5.1%
경	5	3.6%
동	5	3.6%
고	5	3.6%
신	4	2.9%
2	4	2.9%
지	4	2.9%
Other values (41)	71	51.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	132	95.7%
Decimal Number	5	3.6%
Space Separator	1	0.7%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
남	12	9.1%
향	11	8.3%
학	10	7.6%
대	7	5.3%
경	5	3.8%
동	5	3.8%
고	5	3.8%
신	4	3.0%
지	4	3.0%
화	4	3.0%
Other values (38)	65	49.2%

Decimal Number

Value	Count	Frequency (%)
2	4	80.0%
1	1	20.0%

Space Separator

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	132	95.7%
Common	6	4.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
남	12	9.1%
향	11	8.3%
학	10	7.6%
대	7	5.3%
경	5	3.8%
동	5	3.8%
고	5	3.8%
신	4	3.0%
지	4	3.0%
화	4	3.0%
Other values (38)	65	49.2%

Common

Value	Count	Frequency (%)
2	4	66.7%
1	1	16.7%
	1	16.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	132	95.7%
ASCII	6	4.3%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
남	12	9.1%
향	11	8.3%
학	10	7.6%
대	7	5.3%
경	5	3.8%
동	5	3.8%
고	5	3.8%
신	4	3.0%
지	4	3.0%
화	4	3.0%
Other values (38)	65	49.2%

ASCII

Value	Count	Frequency (%)
2	4	66.7%
1	1	16.7%
	1	16.7%

종점
Text

Distinct	28
Distinct (%)	82.4%
Missing	0
Missing (%)	0.0%
Memory size	400.0 B

Length

Max length	13
Median length	8
Mean length	4.7941176
Min length	2

Characters and Unicode

Total characters	163
Distinct characters	96
Distinct categories	4 ?
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	23 ?
Unique (%)	67.6%

Sample

1st row	신영통현대타운. 두산위브
2nd row	현대기아연구소
3rd row	기산동
4th row	반월동
5th row	수원역

Value	Count	Frequency (%)
수원역	4	10.8%
부처내	3	8.1%
금강아파트	2	5.4%
해병대사령부	2	5.4%
환승센터	2	5.4%
원시역2번출구	1	2.7%
두산위브	1	2.7%
신영통현대타운	1	2.7%
백미리사랑방	1	2.7%
서희스타힐스	1	2.7%
Other values (19)	19	51.4%

Most occurring characters

Value	Count	Frequency (%)
역	8	4.9%
원	6	3.7%
부	5	3.1%
대	5	3.1%
병	4	2.5%
리	4	2.5%
수	4	2.5%
사	4	2.5%
처	3	1.8%
	3	1.8%
Other values (86)	117	71.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	156	95.7%
Space Separator	3	1.8%
Decimal Number	3	1.8%
Other Punctuation	1	0.6%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
역	8	5.1%
원	6	3.8%
부	5	3.2%
대	5	3.2%
병	4	2.6%
리	4	2.6%
수	4	2.6%
사	4	2.6%
처	3	1.9%
점	3	1.9%
Other values (82)	110	70.5%

Decimal Number

Value	Count	Frequency (%)
2	2	66.7%
1	1	33.3%

Space Separator

Value	Count	Frequency (%)
	3	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	156	95.7%
Common	7	4.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
역	8	5.1%
원	6	3.8%
부	5	3.2%
대	5	3.2%
병	4	2.6%
리	4	2.6%
수	4	2.6%
사	4	2.6%
처	3	1.9%
점	3	1.9%
Other values (82)	110	70.5%

Common

Value	Count	Frequency (%)
	3	42.9%
2	2	28.6%
1	1	14.3%
.	1	14.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	156	95.7%
ASCII	7	4.3%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
역	8	5.1%
원	6	3.8%
부	5	3.2%
대	5	3.2%
병	4	2.6%
리	4	2.6%
수	4	2.6%
사	4	2.6%
처	3	1.9%
점	3	1.9%
Other values (82)	110	70.5%

ASCII

Value	Count	Frequency (%)
	3	42.9%
2	2	28.6%
1	1	14.3%
.	1	14.3%

연도
Categorical

CONSTANT

Distinct	1
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	400.0 B

2023	34

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2023
2nd row	2023
3rd row	2023
4th row	2023
5th row	2023

Common Values

Value	Count	Frequency (%)
2023	34	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2023	34	100.0%

1월이용객수
Real number (ℝ)

HIGH CORRELATION

Distinct	32
Distinct (%)	94.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8616.2353

Minimum	399
Maximum	84841
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	434.0 B

Quantile statistics

Minimum	399
5-th percentile	469.55
Q1	2019.5
median	2886.5
Q3	6793.75
95-th percentile	44939.05
Maximum	84841
Range	84442
Interquartile range (IQR)	4774.25

Descriptive statistics

Standard deviation	17325.006
Coefficient of variation (CV)	2.0107396
Kurtosis	12.40937
Mean	8616.2353
Median Absolute Deviation (MAD)	1275.5
Skewness	3.4617003
Sum	292952
Variance	3.0015582 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
748	2	5.9%
2636	2	5.9%
53638	1	2.9%
2859	1	2.9%
84841	1	2.9%
3324	1	2.9%
40255	1	2.9%
1892	1	2.9%
2933	1	2.9%
3504	1	2.9%
Other values (22)	22	64.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
399	1	2.9%
400	1	2.9%
507	1	2.9%
748	2	5.9%
845	1	2.9%
1530	1	2.9%
1692	1	2.9%
1892	1	2.9%
2402	1	2.9%
2636	2	5.9%

Value	Count	Frequency (%)
84841	1	2.9%
53638	1	2.9%
40255	1	2.9%
13753	1	2.9%
12211	1	2.9%
7562	1	2.9%
7541	1	2.9%
7291	1	2.9%
7006	1	2.9%
6157	1	2.9%

2월이용객수
Real number (ℝ)

HIGH CORRELATION

Distinct	33
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8455.5

Minimum	386
Maximum	80706
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	434.0 B

Quantile statistics

Minimum	386
5-th percentile	520.25
Q1	2336.75
median	2855
Q3	6483.5
95-th percentile	42883.35
Maximum	80706
Range	80320
Interquartile range (IQR)	4146.75

Descriptive statistics

Standard deviation	16462.278
Coefficient of variation (CV)	1.9469313
Kurtosis	12.169906
Mean	8455.5
Median Absolute Deviation (MAD)	1087.5
Skewness	3.413697
Sum	287487
Variance	2.7100659 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
802	2	5.9%
50398	1	2.9%
2565	1	2.9%
2775	1	2.9%
80706	1	2.9%
3505	1	2.9%
38837	1	2.9%
2468	1	2.9%
2919	1	2.9%
3267	1	2.9%
Other values (23)	23	67.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
386	1	2.9%
387	1	2.9%
592	1	2.9%
802	2	5.9%
939	1	2.9%
1609	1	2.9%
1926	1	2.9%
2293	1	2.9%
2468	1	2.9%
2469	1	2.9%

Value	Count	Frequency (%)
80706	1	2.9%
50398	1	2.9%
38837	1	2.9%
15473	1	2.9%
12370	1	2.9%
9256	1	2.9%
7861	1	2.9%
7358	1	2.9%
6666	1	2.9%
5936	1	2.9%

3월이용객수
Real number (ℝ)

HIGH CORRELATION

Distinct	33
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10441.971

Minimum	481
Maximum	97990
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	434.0 B

Quantile statistics

Minimum	481
5-th percentile	591.85
Q1	2844.75
median	3918.5
Q3	7924.75
95-th percentile	52156.75
Maximum	97990
Range	97509
Interquartile range (IQR)	5080

Descriptive statistics

Standard deviation	20035.186
Coefficient of variation (CV)	1.9187169
Kurtosis	12.021377
Mean	10441.971
Median Absolute Deviation (MAD)	2016
Skewness	3.3943377
Sum	355027
Variance	4.0140866 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
3956	2	5.9%
62456	1	2.9%
3622	1	2.9%
3881	1	2.9%
97990	1	2.9%
4079	1	2.9%
46611	1	2.9%
1762	1	2.9%
3218	1	2.9%
3066	1	2.9%
Other values (23)	23	67.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
481	1	2.9%
482	1	2.9%
651	1	2.9%
848	1	2.9%
1013	1	2.9%
1014	1	2.9%
1762	1	2.9%
2043	1	2.9%
2811	1	2.9%
2946	1	2.9%

Value	Count	Frequency (%)
97990	1	2.9%
62456	1	2.9%
46611	1	2.9%
18869	1	2.9%
15134	1	2.9%
11820	1	2.9%
10905	1	2.9%
9218	1	2.9%
7929	1	2.9%
7912	1	2.9%

4월이용객수
Real number (ℝ)

HIGH CORRELATION

Distinct	32
Distinct (%)	94.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9935.3529

Minimum	441
Maximum	91763
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	434.0 B

Quantile statistics

Minimum	441
5-th percentile	572.3
Q1	2940.25
median	3619
Q3	7966.25
95-th percentile	49172.5
Maximum	91763
Range	91322
Interquartile range (IQR)	5026

Descriptive statistics

Standard deviation	18651.331
Coefficient of variation (CV)	1.8772691
Kurtosis	12.050567
Mean	9935.3529
Median Absolute Deviation (MAD)	1515.5
Skewness	3.3850107
Sum	337802
Variance	3.4787213 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
441	2	5.9%
1002	2	5.9%
56212	1	2.9%
91763	1	2.9%
3821	1	2.9%
45382	1	2.9%
2024	1	2.9%
3634	1	2.9%
3089	1	2.9%
4206	1	2.9%
Other values (22)	22	64.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
441	2	5.9%
643	1	2.9%
842	1	2.9%
1002	2	5.9%
2024	1	2.9%
2183	1	2.9%
2926	1	2.9%
2983	1	2.9%
3058	1	2.9%
3089	1	2.9%

Value	Count	Frequency (%)
91763	1	2.9%
56212	1	2.9%
45382	1	2.9%
17350	1	2.9%
15036	1	2.9%
11418	1	2.9%
10986	1	2.9%
9007	1	2.9%
8103	1	2.9%
7556	1	2.9%

5월이용객수
Real number (ℝ)

HIGH CORRELATION

Distinct	31
Distinct (%)	91.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9983.2647

Minimum	446
Maximum	91669
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	434.0 B

Quantile statistics

Minimum	446
5-th percentile	566.25
Q1	2849.25
median	3625.5
Q3	8605.75
95-th percentile	49009.15
Maximum	91669
Range	91223
Interquartile range (IQR)	5756.5

Descriptive statistics

Standard deviation	18608.361
Coefficient of variation (CV)	1.8639555
Kurtosis	12.000209
Mean	9983.2647
Median Absolute Deviation (MAD)	1529
Skewness	3.3677855
Sum	339431
Variance	3.4627112 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
446	2	5.9%
998	2	5.9%
3749	2	5.9%
55320	1	2.9%
3370	1	2.9%
45611	1	2.9%
2318	1	2.9%
3872	1	2.9%
3088	1	2.9%
4426	1	2.9%
Other values (21)	21	61.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
446	2	5.9%
631	1	2.9%
938	1	2.9%
998	2	5.9%
1875	1	2.9%
2318	1	2.9%
2825	1	2.9%
2922	1	2.9%
2975	1	2.9%
2987	1	2.9%

Value	Count	Frequency (%)
91669	1	2.9%
55320	1	2.9%
45611	1	2.9%
17803	1	2.9%
15990	1	2.9%
12970	1	2.9%
10027	1	2.9%
9087	1	2.9%
8936	1	2.9%
7615	1	2.9%

6월이용객수
Real number (ℝ)

HIGH CORRELATION

Distinct	31
Distinct (%)	91.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9984.7941

Minimum	446
Maximum	91669
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	434.0 B

Quantile statistics

Minimum	446
5-th percentile	566.25
Q1	2849.25
median	3625.5
Q3	8605.75
95-th percentile	49009.15
Maximum	91669
Range	91223
Interquartile range (IQR)	5756.5

Descriptive statistics

Standard deviation	18608.446
Coefficient of variation (CV)	1.8636785
Kurtosis	11.998683
Mean	9984.7941
Median Absolute Deviation (MAD)	1529
Skewness	3.3674958
Sum	339483
Variance	3.4627426 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
446	2	5.9%
998	2	5.9%
3749	2	5.9%
55320	1	2.9%
3370	1	2.9%
45611	1	2.9%
2318	1	2.9%
3872	1	2.9%
3088	1	2.9%
4431	1	2.9%
Other values (21)	21	61.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
446	2	5.9%
631	1	2.9%
938	1	2.9%
998	2	5.9%
1875	1	2.9%
2318	1	2.9%
2825	1	2.9%
2922	1	2.9%
2975	1	2.9%
2992	1	2.9%

Value	Count	Frequency (%)
91669	1	2.9%
55320	1	2.9%
45611	1	2.9%
17803	1	2.9%
16012	1	2.9%
12970	1	2.9%
10027	1	2.9%
9107	1	2.9%
8936	1	2.9%
7615	1	2.9%

7월이용객수
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	34
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9487.8824

Minimum	336
Maximum	82630
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	434.0 B

Quantile statistics

Minimum	336
5-th percentile	553.35
Q1	2149.25
median	3148
Q3	8340.25
95-th percentile	49677.05
Maximum	82630
Range	82294
Interquartile range (IQR)	6191

Descriptive statistics

Standard deviation	17481.639
Coefficient of variation (CV)	1.8425228
Kurtosis	10.23724
Mean	9487.8824
Median Absolute Deviation (MAD)	1971
Skewness	3.1738202
Sum	322588
Variance	3.0560772 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
54372	1	2.9%
3891	1	2.9%
3392	1	2.9%
3075	1	2.9%
82630	1	2.9%
3814	1	2.9%
47149	1	2.9%
2974	1	2.9%
2654	1	2.9%
2608	1	2.9%
Other values (24)	24	70.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
336	1	2.9%
489	1	2.9%
588	1	2.9%
927	1	2.9%
937	1	2.9%
948	1	2.9%
1406	1	2.9%
1844	1	2.9%
2047	1	2.9%
2456	1	2.9%

Value	Count	Frequency (%)
82630	1	2.9%
54372	1	2.9%
47149	1	2.9%
16984	1	2.9%
14241	1	2.9%
12495	1	2.9%
8991	1	2.9%
8817	1	2.9%
8437	1	2.9%
8050	1	2.9%

8월이용객수
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	34
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9303

Minimum	434
Maximum	85410
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	434.0 B

Quantile statistics

Minimum	434
5-th percentile	550.15
Q1	2260.75
median	3132.5
Q3	8603.25
95-th percentile	44698.15
Maximum	85410
Range	84976
Interquartile range (IQR)	6342.5

Descriptive statistics

Standard deviation	17343.477
Coefficient of variation (CV)	1.8642886
Kurtosis	12.078393
Mean	9303
Median Absolute Deviation (MAD)	1931
Skewness	3.377184
Sum	316302
Variance	3.007962 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
53297	1	2.9%
3705	1	2.9%
2929	1	2.9%
3235	1	2.9%
85410	1	2.9%
3727	1	2.9%
40068	1	2.9%
2935	1	2.9%
2259	1	2.9%
2486	1	2.9%
Other values (24)	24	70.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
434	1	2.9%
504	1	2.9%
575	1	2.9%
864	1	2.9%
937	1	2.9%
962	1	2.9%
1441	1	2.9%
2199	1	2.9%
2259	1	2.9%
2266	1	2.9%

Value	Count	Frequency (%)
85410	1	2.9%
53297	1	2.9%
40068	1	2.9%
17034	1	2.9%
14138	1	2.9%
11730	1	2.9%
9217	1	2.9%
8973	1	2.9%
8664	1	2.9%
8421	1	2.9%

9월이용객수
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	34
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9706.1765

Minimum	412
Maximum	86647
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	434.0 B

Quantile statistics

Minimum	412
5-th percentile	579
Q1	1957.25
median	3392.5
Q3	9068.25
95-th percentile	46914.15
Maximum	86647
Range	86235
Interquartile range (IQR)	7111

Descriptive statistics

Standard deviation	17681.661
Coefficient of variation (CV)	1.8216917
Kurtosis	11.526118
Mean	9706.1765
Median Absolute Deviation (MAD)	2208.5
Skewness	3.2902966
Sum	330010
Variance	3.1264112 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
52484	1	2.9%
3879	1	2.9%
3427	1	2.9%
3885	1	2.9%
86647	1	2.9%
4077	1	2.9%
43915	1	2.9%
1809	1	2.9%
2024	1	2.9%
2150	1	2.9%
Other values (24)	24	70.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
412	1	2.9%
553	1	2.9%
593	1	2.9%
922	1	2.9%
970	1	2.9%
1015	1	2.9%
1353	1	2.9%
1809	1	2.9%
1935	1	2.9%
2024	1	2.9%

Value	Count	Frequency (%)
86647	1	2.9%
52484	1	2.9%
43915	1	2.9%
18613	1	2.9%
14877	1	2.9%
13712	1	2.9%
10586	1	2.9%
9420	1	2.9%
9140	1	2.9%
8853	1	2.9%

10월이용객수
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	34
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10079.941

Minimum	409
Maximum	90124
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	434.0 B

Quantile statistics

Minimum	409
5-th percentile	646.65
Q1	2171.25
median	3426.5
Q3	9595
95-th percentile	47935
Maximum	90124
Range	89715
Interquartile range (IQR)	7423.75

Descriptive statistics

Standard deviation	18246.262
Coefficient of variation (CV)	1.8101556
Kurtosis	11.777857
Mean	10079.941
Median Absolute Deviation (MAD)	2192.5
Skewness	3.3065403
Sum	342718
Variance	3.3292607 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
52472	1	2.9%
4051	1	2.9%
3478	1	2.9%
4160	1	2.9%
90124	1	2.9%
4085	1	2.9%
45492	1	2.9%
2223	1	2.9%
2154	1	2.9%
2479	1	2.9%
Other values (24)	24	70.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
409	1	2.9%
594	1	2.9%
675	1	2.9%
978	1	2.9%
997	1	2.9%
1000	1	2.9%
1468	1	2.9%
2096	1	2.9%
2154	1	2.9%
2223	1	2.9%

Value	Count	Frequency (%)
90124	1	2.9%
52472	1	2.9%
45492	1	2.9%
20277	1	2.9%
15757	1	2.9%
14572	1	2.9%
10540	1	2.9%
10243	1	2.9%
9681	1	2.9%
9337	1	2.9%

11월이용객수
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	34
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9800

Minimum	353
Maximum	86940
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	434.0 B

Quantile statistics

Minimum	353
5-th percentile	497.7
Q1	1703.25
median	3382.5
Q3	9707.5
95-th percentile	45691.9
Maximum	86940
Range	86587
Interquartile range (IQR)	8004.25

Descriptive statistics

Standard deviation	17686.826
Coefficient of variation (CV)	1.8047782
Kurtosis	11.54483
Mean	9800
Median Absolute Deviation (MAD)	2189
Skewness	3.2700529
Sum	333200
Variance	3.1282381 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
52643	1	2.9%
3940	1	2.9%
3355	1	2.9%
4078	1	2.9%
86940	1	2.9%
4593	1	2.9%
41949	1	2.9%
1368	1	2.9%
1690	1	2.9%
2714	1	2.9%
Other values (24)	24	70.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
353	1	2.9%
486	1	2.9%
504	1	2.9%
827	1	2.9%
870	1	2.9%
1019	1	2.9%
1368	1	2.9%
1446	1	2.9%
1690	1	2.9%
1743	1	2.9%

Value	Count	Frequency (%)
86940	1	2.9%
52643	1	2.9%
41949	1	2.9%
20226	1	2.9%
15783	1	2.9%
14801	1	2.9%
11782	1	2.9%
9944	1	2.9%
9940	1	2.9%
9010	1	2.9%

12월이용객수
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	34
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9643.2647

Minimum	176
Maximum	87262
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	434.0 B

Quantile statistics

Minimum	176
5-th percentile	312.25
Q1	1666.5
median	3185
Q3	8647.75
95-th percentile	47212.5
Maximum	87262
Range	87086
Interquartile range (IQR)	6981.25

Descriptive statistics

Standard deviation	17839.318
Coefficient of variation (CV)	1.8499252
Kurtosis	11.468148
Mean	9643.2647
Median Absolute Deviation (MAD)	2278
Skewness	3.2760206
Sum	327871
Variance	3.1824128 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
52094	1	2.9%
3524	1	2.9%
3243	1	2.9%
3806	1	2.9%
87262	1	2.9%
4890	1	2.9%
44584	1	2.9%
1480	1	2.9%
3322	1	2.9%
2575	1	2.9%
Other values (24)	24	70.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
176	1	2.9%
244	1	2.9%
349	1	2.9%
533	1	2.9%
732	1	2.9%
852	1	2.9%
962	1	2.9%
1235	1	2.9%
1480	1	2.9%
2226	1	2.9%

Value	Count	Frequency (%)
87262	1	2.9%
52094	1	2.9%
44584	1	2.9%
18985	1	2.9%
15261	1	2.9%
14639	1	2.9%
10454	1	2.9%
9073	1	2.9%
8835	1	2.9%
8086	1	2.9%

데이터기준일자
Categorical

CONSTANT

Distinct	1
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	400.0 B

2023-12-31	34

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2023-12-31
2nd row	2023-12-31
3rd row	2023-12-31
4th row	2023-12-31
5th row	2023-12-31

Common Values

Value	Count	Frequency (%)
2023-12-31	34	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2023-12-31	34	100.0%

버스노선 운행시간표 선정 기준
Categorical

CONSTANT

Distinct	1
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	400.0 B

기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대	34

Length

Max length	43
Median length	43
Mean length	43
Min length	43

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
2nd row	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
3rd row	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
4th row	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
5th row	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대

Common Values

Value	Count	Frequency (%)
기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대	34	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
기점종점위치	34	12.5%
휴게공간위치	34	12.5%
운전원	34	12.5%
근로	34	12.5%
및	34	12.5%
휴게시간	34	12.5%
오전오후	34	12.5%
출근퇴근시간대	34	12.5%

Phik (φk)
Auto

Heatmap
Table

	구분	노선번호	기점	종점	1월이용객수	2월이용객수	3월이용객수	4월이용객수	5월이용객수	6월이용객수	7월이용객수	8월이용객수	9월이용객수	10월이용객수	11월이용객수	12월이용객수
구분	1.000	1.000	0.469	0.913	0.161	0.000	0.054	0.031	0.031	0.031	0.152	0.162	0.315	0.101	0.315	0.000
노선번호	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	1.000	1.000
기점	0.469	1.000	1.000	0.921	0.836	0.810	0.795	0.786	0.786	0.786	0.912	0.874	0.903	0.913	0.903	0.922
종점	0.913	1.000	0.921	1.000	1.000	1.000	0.974	0.975	0.975	0.975	1.000	1.000	0.987	0.979	0.987	1.000
1월이용객수	0.161	1.000	0.836	1.000	1.000	0.999	0.997	0.997	0.997	0.997	0.952	0.996	0.950	0.974	0.950	0.975
2월이용객수	0.000	1.000	0.810	1.000	0.999	1.000	0.999	0.999	0.999	0.999	0.954	0.998	0.948	0.974	0.948	0.976
3월이용객수	0.054	1.000	0.795	0.974	0.997	0.999	1.000	1.000	1.000	1.000	0.938	0.996	0.956	0.977	0.956	0.968
4월이용객수	0.031	1.000	0.786	0.975	0.997	0.999	1.000	1.000	1.000	1.000	0.938	0.996	0.956	0.977	0.956	0.967
5월이용객수	0.031	1.000	0.786	0.975	0.997	0.999	1.000	1.000	1.000	1.000	0.938	0.996	0.956	0.977	0.956	0.967
6월이용객수	0.031	1.000	0.786	0.975	0.997	0.999	1.000	1.000	1.000	1.000	0.938	0.996	0.956	0.977	0.956	0.967
7월이용객수	0.152	1.000	0.912	1.000	0.952	0.954	0.938	0.938	0.938	0.938	1.000	1.000	1.000	0.966	0.997	0.944
8월이용객수	0.162	1.000	0.874	1.000	0.996	0.998	0.996	0.996	0.996	0.996	1.000	1.000	0.969	0.983	0.942	0.975
9월이용객수	0.315	1.000	0.903	0.987	0.950	0.948	0.956	0.956	0.956	0.956	1.000	0.969	1.000	1.000	0.999	0.933
10월이용객수	0.101	1.000	0.913	0.979	0.974	0.974	0.977	0.977	0.977	0.977	0.966	0.983	1.000	1.000	0.950	0.996
11월이용객수	0.315	1.000	0.903	0.987	0.950	0.948	0.956	0.956	0.956	0.956	0.997	0.942	0.999	0.950	1.000	0.965
12월이용객수	0.000	1.000	0.922	1.000	0.975	0.976	0.968	0.967	0.967	0.967	0.944	0.975	0.933	0.996	0.965	1.000

Heatmap
Table

	1월이용객수	2월이용객수	3월이용객수	4월이용객수	5월이용객수	6월이용객수	7월이용객수	8월이용객수	9월이용객수	10월이용객수	11월이용객수	12월이용객수	구분
1월이용객수	1.000	0.984	0.968	0.967	0.937	0.937	0.915	0.900	0.923	0.928	0.908	0.877	0.182
2월이용객수	0.984	1.000	0.975	0.980	0.945	0.945	0.930	0.924	0.945	0.949	0.927	0.880	0.000
3월이용객수	0.968	0.975	1.000	0.987	0.969	0.969	0.915	0.903	0.938	0.944	0.925	0.881	0.058
4월이용객수	0.967	0.980	0.987	1.000	0.978	0.978	0.933	0.921	0.959	0.963	0.942	0.890	0.058
5월이용객수	0.937	0.945	0.969	0.978	1.000	1.000	0.941	0.922	0.948	0.951	0.935	0.901	0.058
6월이용객수	0.937	0.945	0.969	0.978	1.000	1.000	0.941	0.922	0.948	0.951	0.935	0.901	0.058
7월이용객수	0.915	0.930	0.915	0.933	0.941	0.941	1.000	0.982	0.975	0.976	0.980	0.960	0.105
8월이용객수	0.900	0.924	0.903	0.921	0.922	0.922	0.982	1.000	0.981	0.980	0.973	0.944	0.190
9월이용객수	0.923	0.945	0.938	0.959	0.948	0.948	0.975	0.981	1.000	0.995	0.988	0.942	0.217
10월이용객수	0.928	0.949	0.944	0.963	0.951	0.951	0.976	0.980	0.995	1.000	0.984	0.935	0.132
11월이용객수	0.908	0.927	0.925	0.942	0.935	0.935	0.980	0.973	0.988	0.984	1.000	0.964	0.217
12월이용객수	0.877	0.880	0.881	0.890	0.901	0.901	0.960	0.944	0.942	0.935	0.964	1.000	0.000
구분	0.182	0.000	0.058	0.058	0.058	0.058	0.105	0.190	0.217	0.132	0.217	0.000	1.000

Count
Matrix

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.

First rows
Last rows

	구분	노선번호	기점	종점	연도	1월이용객수	2월이용객수	3월이용객수	4월이용객수	5월이용객수	6월이용객수	7월이용객수	8월이용객수	9월이용객수	10월이용객수	11월이용객수	12월이용객수	데이터기준일자	버스노선 운행시간표 선정 기준
0	마을버스	H1	동탄2차고지	신영통현대타운. 두산위브	2023	53638	50398	62456	56212	55320	55320	54372	53297	52484	52472	52643	52094	2023-12-31	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
1	마을버스	H100	동탄2차고지	현대기아연구소	2023	7562	9256	11820	11418	12970	12970	12495	11730	13712	14572	15783	15261	2023-12-31	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
2	시내버스	H101	영천동	기산동	2023	7291	6666	7929	7556	7615	7615	8050	8664	8853	9337	9940	9073	2023-12-31	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
3	시내버스	H102	동탄2차고지	반월동	2023	7541	7861	9218	9007	8936	8936	8991	8973	9140	10243	11782	10454	2023-12-31	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
4	시내버스	H103	향남	수원역	2023	7006	7358	10905	10986	10027	10027	8437	8421	10586	10540	9944	8086	2023-12-31	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
5	시내버스	H104	향남	송탄역	2023	12211	12370	15134	15036	15990	16012	14241	14138	14877	15757	14801	14639	2023-12-31	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
6	마을버스	H10-4	향남	비봉	2023	748	802	1013	1002	998	998	948	937	1015	978	1019	852	2023-12-31	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
7	시내버스	H105	고온리	병점역	2023	13753	15473	18869	17350	17803	17803	16984	17034	18613	20277	20226	18985	2023-12-31	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
8	시내버스	H106	남양	조암농협	2023	6157	5936	7912	8103	9087	9107	8817	9217	9420	9681	9010	8835	2023-12-31	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
9	마을버스	H10-6	향남	왕림휴게소	2023	748	802	1014	1002	998	998	927	962	970	997	870	962	2023-12-31	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대

	구분	노선번호	기점	종점	연도	1월이용객수	2월이용객수	3월이용객수	4월이용객수	5월이용객수	6월이용객수	7월이용객수	8월이용객수	9월이용객수	10월이용객수	11월이용객수	12월이용객수	데이터기준일자	버스노선 운행시간표 선정 기준
24	시내버스	H404	수원역환승센터	바이오밸리	2023	40255	38837	46611	45382	45611	45611	47149	40068	43915	45492	41949	44584	2023-12-31	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
25	마을버스	H50	송교리종점	송교리종점	2023	1892	2468	1762	2024	2318	2318	2974	2935	1809	2223	1368	1480	2023-12-31	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
26	마을버스	H50-3	신경대학	살곶이	2023	2933	2919	3622	3634	3872	3872	3891	3705	3879	4051	3940	3524	2023-12-31	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
27	마을버스	H50-4B	신경대학	대광1차	2023	2859	2565	3218	3089	3088	3088	2654	2259	2024	2154	1690	3322	2023-12-31	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
28	마을버스	H50-6A	화성의과학대학	금강아파트	2023	3504	3267	4437	4206	4426	4431	4237	3943	4260	4305	4169	4039	2023-12-31	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
29	마을버스	H50-6B	화성의과학대학	금강아파트	2023	2745	2920	3477	3604	3690	3690	3819	3654	3572	3830	3417	2941	2023-12-31	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
30	마을버스	H50-7	신경대학	사광복지회관	2023	3021	3056	4025	3691	3554	3554	3221	2655	3122	3354	3410	3127	2023-12-31	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
31	마을버스	H50-9	화성의과학대학	서희스타힐스	2023	1530	1926	2043	2183	1875	1875	1844	2199	1935	2096	2307	2226	2023-12-31	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
32	마을버스	H51	전곡항	백미리사랑방	2023	845	939	848	842	938	938	937	864	922	1000	827	732	2023-12-31	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대
33	마을버스	H52	전곡항	궁평유원지	2023	507	592	651	643	631	631	588	575	553	675	486	533	2023-12-31	기점종점위치, 휴게공간위치, 운전원 근로 및 휴게시간, 오전오후 출근퇴근시간대

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Interactions

Correlations

Missing values

Sample