gimi9 Pandas Profiling

Dataset statistics

Number of variables	14
Number of observations	45
Missing cells	5
Missing cells (%)	0.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	5.4 KiB
Average record size in memory	121.9 B

Variable types

Numeric	7
Text	7

Dataset

Description	인천광역시 시내버스 면허업체의 이름, 대표자명, 사업자등록번호, 주소, 전화, 팩스번호, 노선수, 버스종별 대수 등을 알 수 있습니다.
Author	인천광역시
URL	https://data.incheon.go.kr/findData/publicDataDetail?dataId=15045238&srcSe=7661IVAWM27C61E190

Alerts

`노선수` is highly overall correlated with `중형` and 2 other fields	High correlation
`대형` is highly overall correlated with `상용차`	High correlation
`중형` is highly overall correlated with `노선수`	High correlation
`상용차` is highly overall correlated with `노선수` and 2 other fields	High correlation
`예비차` is highly overall correlated with `노선수` and 1 other fields	High correlation
`법인등록번호` has 2 (4.4%) missing values	Missing
`사업자등록번호` has 1 (2.2%) missing values	Missing
`팩스번호` has 2 (4.4%) missing values	Missing
`번호` has unique values	Unique
`업체명` has unique values	Unique
`좌석형` has 36 (80.0%) zeros	Zeros
`대형` has 15 (33.3%) zeros	Zeros
`중형` has 24 (53.3%) zeros	Zeros
`상용차` has 5 (11.1%) zeros	Zeros
`예비차` has 9 (20.0%) zeros	Zeros

Reproduction

Analysis started	2024-03-13 05:30:15.004275
Analysis finished	2024-03-13 05:30:20.833979
Duration	5.83 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

번호
Real number (ℝ)

UNIQUE

Distinct	45
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23

Minimum	1
Maximum	45
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	537.0 B

Quantile statistics

Minimum	1
5-th percentile	3.2
Q1	12
median	23
Q3	34
95-th percentile	42.8
Maximum	45
Range	44
Interquartile range (IQR)	22

Descriptive statistics

Standard deviation	13.133926
Coefficient of variation (CV)	0.57104024
Kurtosis	-1.2
Mean	23
Median Absolute Deviation (MAD)	11
Skewness	0
Sum	1035
Variance	172.5
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
1	1	2.2%
35	1	2.2%
26	1	2.2%
27	1	2.2%
28	1	2.2%
29	1	2.2%
30	1	2.2%
31	1	2.2%
32	1	2.2%
33	1	2.2%
Other values (35)	35	77.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	2.2%
2	1	2.2%
3	1	2.2%
4	1	2.2%
5	1	2.2%
6	1	2.2%
7	1	2.2%
8	1	2.2%
9	1	2.2%
10	1	2.2%

Value	Count	Frequency (%)
45	1	2.2%
44	1	2.2%
43	1	2.2%
42	1	2.2%
41	1	2.2%
40	1	2.2%
39	1	2.2%
38	1	2.2%
37	1	2.2%
36	1	2.2%

업체명
Text

UNIQUE

Distinct	45
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	492.0 B

Length

Max length	10
Median length	4
Mean length	4.6
Min length	4

Characters and Unicode

Total characters	207
Distinct characters	79
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

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

Unique

Unique	45 ?
Unique (%)	100.0%

Sample

1st row	강인교통
2nd row	강인여객
3rd row	강화교통
4th row	공영급행
5th row	더월드교통

Value	Count	Frequency (%)
강인교통	1	2.2%
신강교통	1	2.2%
신화여객	1	2.2%
신흥교통	1	2.2%
예성교통	1	2.2%
영종운수	1	2.2%
원진운수	1	2.2%
인강여객	1	2.2%
인천교통공사	1	2.2%
미추홀교통	1	2.2%
Other values (35)	35	77.8%

Most occurring characters

Value	Count	Frequency (%)
교	18	8.7%
통	18	8.7%
운	9	4.3%
여	9	4.3%
객	9	4.3%
수	9	4.3%
인	8	3.9%
성	7	3.4%
강	6	2.9%
화	4	1.9%
Other values (69)	110	53.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	204	98.6%
Open Punctuation	1	0.5%
Other Symbol	1	0.5%
Close Punctuation	1	0.5%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
교	18	8.8%
통	18	8.8%
운	9	4.4%
여	9	4.4%
객	9	4.4%
수	9	4.4%
인	8	3.9%
성	7	3.4%
강	6	2.9%
화	4	2.0%
Other values (66)	107	52.5%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Other Symbol

Value	Count	Frequency (%)
㈜	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	205	99.0%
Common	2	1.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
교	18	8.8%
통	18	8.8%
운	9	4.4%
여	9	4.4%
객	9	4.4%
수	9	4.4%
인	8	3.9%
성	7	3.4%
강	6	2.9%
화	4	2.0%
Other values (67)	108	52.7%

Common

Value	Count	Frequency (%)
(	1	50.0%
)	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	204	98.6%
ASCII	2	1.0%
None	1	0.5%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
교	18	8.8%
통	18	8.8%
운	9	4.4%
여	9	4.4%
객	9	4.4%
수	9	4.4%
인	8	3.9%
성	7	3.4%
강	6	2.9%
화	4	2.0%
Other values (66)	107	52.5%

ASCII

Value	Count	Frequency (%)
(	1	50.0%
)	1	50.0%

None

Value	Count	Frequency (%)
㈜	1	100.0%

대표자
Text

Distinct	37
Distinct (%)	82.2%
Missing	0
Missing (%)	0.0%
Memory size	492.0 B

Length

Max length	8
Median length	3
Mean length	3.9777778
Min length	2

Characters and Unicode

Total characters	179
Distinct characters	72
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	34 ?
Unique (%)	75.6%

Sample

1st row	최영희
2nd row	최영락, 최우석
3rd row	노승후
4th row	장진수
5th row	김해숙

Value	Count	Frequency (%)
한강수	7	13.5%
박진성	3	5.8%
장진수	3	5.8%
김해숙	2	3.8%
최우석	2	3.8%
류광신	1	1.9%
김영한	1	1.9%
홍윤성	1	1.9%
송병진	1	1.9%
송종현	1	1.9%
Other values (30)	30	57.7%

Most occurring characters

Value	Count	Frequency (%)
수	12	6.7%
김	11	6.1%
,	10	5.6%
한	8	4.5%
강	7	3.9%
진	7	3.9%
박	7	3.9%
	7	3.9%
성	6	3.4%
최	4	2.2%
Other values (62)	100	55.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	162	90.5%
Other Punctuation	10	5.6%
Space Separator	7	3.9%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
수	12	7.4%
김	11	6.8%
한	8	4.9%
강	7	4.3%
진	7	4.3%
박	7	4.3%
성	6	3.7%
최	4	2.5%
영	4	2.5%
홍	4	2.5%
Other values (60)	92	56.8%

Other Punctuation

Value	Count	Frequency (%)
,	10	100.0%

Space Separator

Value	Count	Frequency (%)
	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	162	90.5%
Common	17	9.5%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
수	12	7.4%
김	11	6.8%
한	8	4.9%
강	7	4.3%
진	7	4.3%
박	7	4.3%
성	6	3.7%
최	4	2.5%
영	4	2.5%
홍	4	2.5%
Other values (60)	92	56.8%

Common

Value	Count	Frequency (%)
,	10	58.8%
	7	41.2%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	162	90.5%
ASCII	17	9.5%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
수	12	7.4%
김	11	6.8%
한	8	4.9%
강	7	4.3%
진	7	4.3%
박	7	4.3%
성	6	3.7%
최	4	2.5%
영	4	2.5%
홍	4	2.5%
Other values (60)	92	56.8%

ASCII

Value	Count	Frequency (%)
,	10	58.8%
	7	41.2%

법인등록번호
Text

MISSING

Distinct	43
Distinct (%)	100.0%
Missing	2
Missing (%)	4.4%
Memory size	492.0 B

Length

Max length	14
Median length	14
Mean length	14
Min length	14

Characters and Unicode

Total characters	602
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

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

Unique

Unique	43 ?
Unique (%)	100.0%

Sample

1st row	120111-0489064
2nd row	120111-0007733
3rd row	120111-0415564
4th row	120111-0482216
5th row	120111-0508731

Value	Count	Frequency (%)
120111-0489064	1	2.3%
120113-0004553	1	2.3%
120111-0309890	1	2.3%
120113-0005709	1	2.3%
124611-0264610	1	2.3%
120111-0077596	1	2.3%
120111-0155871	1	2.3%
120111-0008228	1	2.3%
120111-0218489	1	2.3%
120111-0395477	1	2.3%
Other values (33)	33	76.7%

Most occurring characters

Value	Count	Frequency (%)
1	185	30.7%
0	123	20.4%
2	69	11.5%
-	43	7.1%
7	38	6.3%
4	36	6.0%
6	28	4.7%
8	23	3.8%
5	22	3.7%
3	18	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	559	92.9%
Dash Punctuation	43	7.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	185	33.1%
0	123	22.0%
2	69	12.3%
7	38	6.8%
4	36	6.4%
6	28	5.0%
8	23	4.1%
5	22	3.9%
3	18	3.2%
9	17	3.0%

Dash Punctuation

Value	Count	Frequency (%)
-	43	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	602	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	185	30.7%
0	123	20.4%
2	69	11.5%
-	43	7.1%
7	38	6.3%
4	36	6.0%
6	28	4.7%
8	23	3.8%
5	22	3.7%
3	18	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	602	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	185	30.7%
0	123	20.4%
2	69	11.5%
-	43	7.1%
7	38	6.3%
4	36	6.0%
6	28	4.7%
8	23	3.8%
5	22	3.7%
3	18	3.0%

사업자등록번호
Text

MISSING

Distinct	44
Distinct (%)	100.0%
Missing	1
Missing (%)	2.2%
Memory size	492.0 B

Length

Max length	12
Median length	12
Mean length	12
Min length	12

Characters and Unicode

Total characters	528
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

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

Unique

Unique	44 ?
Unique (%)	100.0%

Sample

1st row	122-86-04260
2nd row	137-81-04568
3rd row	137-81-77789
4th row	121-81-94589
5th row	131-86-18486

Value	Count	Frequency (%)
122-86-04260	1	2.3%
137-81-04568	1	2.3%
121-81-36070	1	2.3%
137-81-39728	1	2.3%
131-81-23908	1	2.3%
121-81-25587	1	2.3%
137-81-13413	1	2.3%
121-81-36575	1	2.3%
121-81-77159	1	2.3%
139-82-02409	1	2.3%
Other values (34)	34	77.3%

Most occurring characters

Value	Count	Frequency (%)
1	112	21.2%
-	88	16.7%
8	66	12.5%
2	51	9.7%
3	46	8.7%
7	33	6.2%
0	29	5.5%
5	29	5.5%
6	27	5.1%
4	26	4.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	440	83.3%
Dash Punctuation	88	16.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	112	25.5%
8	66	15.0%
2	51	11.6%
3	46	10.5%
7	33	7.5%
0	29	6.6%
5	29	6.6%
6	27	6.1%
4	26	5.9%
9	21	4.8%

Dash Punctuation

Value	Count	Frequency (%)
-	88	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	528	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	112	21.2%
-	88	16.7%
8	66	12.5%
2	51	9.7%
3	46	8.7%
7	33	6.2%
0	29	5.5%
5	29	5.5%
6	27	5.1%
4	26	4.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	528	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	112	21.2%
-	88	16.7%
8	66	12.5%
2	51	9.7%
3	46	8.7%
7	33	6.2%
0	29	5.5%
5	29	5.5%
6	27	5.1%
4	26	4.9%

전화번호
Text

Distinct	44
Distinct (%)	97.8%
Missing	0
Missing (%)	0.0%
Memory size	492.0 B

Length

Max length	26
Median length	12
Mean length	13.022222
Min length	9

Characters and Unicode

Total characters	586
Distinct characters	14
Distinct categories	5 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

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

Unique

Unique	43 ?
Unique (%)	95.6%

Sample

1st row	032-581-1738
2nd row	032-578-1738
3rd row	032-933-8677032-886-8638
4th row	032-432-2295
5th row	032-424-7878

Value	Count	Frequency (%)
032-887-2842	2	4.3%
032-773-8885	1	2.2%
070-4236-5569	1	2.2%
032-578-1738	1	2.2%
032-867-7065	1	2.2%
032-516-7422	1	2.2%
032-888-3516	1	2.2%
032-746-2728	1	2.2%
032-568-5552	1	2.2%
032-575-4816	1	2.2%
Other values (35)	35	76.1%

Most occurring characters

Value	Count	Frequency (%)
-	96	16.4%
3	77	13.1%
0	73	12.5%
2	73	12.5%
8	61	10.4%
5	51	8.7%
7	35	6.0%
1	35	6.0%
6	34	5.8%
4	26	4.4%
Other values (4)	25	4.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	487	83.1%
Dash Punctuation	96	16.4%
Space Separator	1	0.2%
Open Punctuation	1	0.2%
Close Punctuation	1	0.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	77	15.8%
0	73	15.0%
2	73	15.0%
8	61	12.5%
5	51	10.5%
7	35	7.2%
1	35	7.2%
6	34	7.0%
4	26	5.3%
9	22	4.5%

Dash Punctuation

Value	Count	Frequency (%)
-	96	100.0%

Space Separator

Value	Count	Frequency (%)
	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	586	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	96	16.4%
3	77	13.1%
0	73	12.5%
2	73	12.5%
8	61	10.4%
5	51	8.7%
7	35	6.0%
1	35	6.0%
6	34	5.8%
4	26	4.4%
Other values (4)	25	4.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	586	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	96	16.4%
3	77	13.1%
0	73	12.5%
2	73	12.5%
8	61	10.4%
5	51	8.7%
7	35	6.0%
1	35	6.0%
6	34	5.8%
4	26	4.4%
Other values (4)	25	4.3%

팩스번호
Text

MISSING

Distinct	40
Distinct (%)	93.0%
Missing	2
Missing (%)	4.4%
Memory size	492.0 B

Length

Max length	12
Median length	12
Mean length	11.976744
Min length	11

Characters and Unicode

Total characters	515
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

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

Unique

Unique	38 ?
Unique (%)	88.4%

Sample

1st row	032-574-8445
2nd row	032-574-8445
3rd row	032-886-8633
4th row	032-432-2297
5th row	032-424-9009

Value	Count	Frequency (%)
032-574-8445	3	7.0%
032-887-2847	2	4.7%
032-575-4817	1	2.3%
032-899-7309	1	2.3%
032-885-7606	1	2.3%
032-867-7180	1	2.3%
032-527-5526	1	2.3%
032-888-3519	1	2.3%
032-551-2728	1	2.3%
032-584-6305	1	2.3%
Other values (30)	30	69.8%

Most occurring characters

Value	Count	Frequency (%)
-	86	16.7%
2	69	13.4%
3	68	13.2%
0	61	11.8%
8	51	9.9%
5	42	8.2%
7	35	6.8%
4	32	6.2%
1	28	5.4%
6	23	4.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	429	83.3%
Dash Punctuation	86	16.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	69	16.1%
3	68	15.9%
0	61	14.2%
8	51	11.9%
5	42	9.8%
7	35	8.2%
4	32	7.5%
1	28	6.5%
6	23	5.4%
9	20	4.7%

Dash Punctuation

Value	Count	Frequency (%)
-	86	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	515	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	86	16.7%
2	69	13.4%
3	68	13.2%
0	61	11.8%
8	51	9.9%
5	42	8.2%
7	35	6.8%
4	32	6.2%
1	28	5.4%
6	23	4.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	515	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	86	16.7%
2	69	13.4%
3	68	13.2%
0	61	11.8%
8	51	9.9%
5	42	8.2%
7	35	6.8%
4	32	6.2%
1	28	5.4%
6	23	4.5%

주사무소
Text

Distinct	39
Distinct (%)	86.7%
Missing	0
Missing (%)	0.0%
Memory size	492.0 B

Length

Max length	36
Median length	28
Mean length	19.288889
Min length	8

Characters and Unicode

Total characters	868
Distinct characters	126
Distinct categories	7 ?
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	36 ?
Unique (%)	80.0%

Sample

1st row	부평구 백범로 570(십정동)
2nd row	부평구 백범로 570(십정동)
3rd row	강화군 선원면 중앙로219(김포시 양촌읍 향동로 20)
4th row	원당대로 227-10(오류동 434-154)
5th row	연수구 아카데미로 51번길 42

Value	Count	Frequency (%)
서구	11	6.7%
중구	10	6.1%
부평구	7	4.2%
남동구	5	3.0%
연수구	4	2.4%
원창로	4	2.4%
백범로	4	2.4%
축항대로86번길	4	2.4%
570(십정동	4	2.4%
원당대로	3	1.8%
Other values (96)	109	66.1%

Most occurring characters

Value	Count	Frequency (%)
	120	13.8%
로	46	5.3%
구	41	4.7%
동	38	4.4%
2	35	4.0%
)	32	3.7%
1	32	3.7%
(	32	3.7%
7	22	2.5%
3	21	2.4%
Other values (116)	449	51.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	459	52.9%
Decimal Number	209	24.1%
Space Separator	120	13.8%
Close Punctuation	32	3.7%
Open Punctuation	32	3.7%
Dash Punctuation	11	1.3%
Other Punctuation	5	0.6%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
로	46	10.0%
구	41	8.9%
동	38	8.3%
길	18	3.9%
번	18	3.9%
서	16	3.5%
대	13	2.8%
원	12	2.6%
중	11	2.4%
항	11	2.4%
Other values (100)	235	51.2%

Decimal Number

Value	Count	Frequency (%)
2	35	16.7%
1	32	15.3%
7	22	10.5%
3	21	10.0%
0	20	9.6%
4	18	8.6%
6	17	8.1%
9	16	7.7%
5	15	7.2%
8	13	6.2%

Other Punctuation

Value	Count	Frequency (%)
,	4	80.0%
.	1	20.0%

Space Separator

Value	Count	Frequency (%)
	120	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	32	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	32	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	459	52.9%
Common	409	47.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
로	46	10.0%
구	41	8.9%
동	38	8.3%
길	18	3.9%
번	18	3.9%
서	16	3.5%
대	13	2.8%
원	12	2.6%
중	11	2.4%
항	11	2.4%
Other values (100)	235	51.2%

Common

Value	Count	Frequency (%)
	120	29.3%
2	35	8.6%
)	32	7.8%
1	32	7.8%
(	32	7.8%
7	22	5.4%
3	21	5.1%
0	20	4.9%
4	18	4.4%
6	17	4.2%
Other values (6)	60	14.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	459	52.9%
ASCII	409	47.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	120	29.3%
2	35	8.6%
)	32	7.8%
1	32	7.8%
(	32	7.8%
7	22	5.4%
3	21	5.1%
0	20	4.9%
4	18	4.4%
6	17	4.2%
Other values (6)	60	14.7%

Hangul

Value	Count	Frequency (%)
로	46	10.0%
구	41	8.9%
동	38	8.3%
길	18	3.9%
번	18	3.9%
서	16	3.5%
대	13	2.8%
원	12	2.6%
중	11	2.4%
항	11	2.4%
Other values (100)	235	51.2%

노선수
Real number (ℝ)

HIGH CORRELATION

Distinct	11
Distinct (%)	24.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.9777778

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	537.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	4
Q3	7
95-th percentile	10.6
Maximum	12
Range	11
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.6924886
Coefficient of variation (CV)	0.54090173
Kurtosis	0.26100815
Mean	4.9777778
Median Absolute Deviation (MAD)	2
Skewness	0.66806822
Sum	224
Variance	7.2494949
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
4	9	20.0%
6	7	15.6%
3	6	13.3%
7	6	13.3%
2	4	8.9%
1	4	8.9%
5	3	6.7%
8	2	4.4%
11	2	4.4%
12	1	2.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4	8.9%
2	4	8.9%
3	6	13.3%
4	9	20.0%
5	3	6.7%
6	7	15.6%
7	6	13.3%
8	2	4.4%
9	1	2.2%
11	2	4.4%

Value	Count	Frequency (%)
12	1	2.2%
11	2	4.4%
9	1	2.2%
8	2	4.4%
7	6	13.3%
6	7	15.6%
5	3	6.7%
4	9	20.0%
3	6	13.3%
2	4	8.9%

좌석형
Real number (ℝ)

ZEROS

Distinct	10
Distinct (%)	22.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.3333333

Minimum	0
Maximum	62
Zeros	36
Zeros (%)	80.0%
Negative	0
Negative (%)	0.0%
Memory size	537.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	54.8
Maximum	62
Range	62
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	17.021377
Coefficient of variation (CV)	2.3210969
Kurtosis	4.3845087
Mean	7.3333333
Median Absolute Deviation (MAD)	0
Skewness	2.3480784
Sum	330
Variance	289.72727
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	36	80.0%
50	1	2.2%
17	1	2.2%
57	1	2.2%
27	1	2.2%
20	1	2.2%
62	1	2.2%
56	1	2.2%
30	1	2.2%
11	1	2.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	36	80.0%
11	1	2.2%
17	1	2.2%
20	1	2.2%
27	1	2.2%
30	1	2.2%
50	1	2.2%
56	1	2.2%
57	1	2.2%
62	1	2.2%

Value	Count	Frequency (%)
62	1	2.2%
57	1	2.2%
56	1	2.2%
50	1	2.2%
30	1	2.2%
27	1	2.2%
20	1	2.2%
17	1	2.2%
11	1	2.2%
0	36	80.0%

대형
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	24
Distinct (%)	53.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	29.688889

Minimum	0
Maximum	103
Zeros	15
Zeros (%)	33.3%
Negative	0
Negative (%)	0.0%
Memory size	537.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	20
Q3	48
95-th percentile	72.6
Maximum	103
Range	103
Interquartile range (IQR)	48

Descriptive statistics

Standard deviation	28.457163
Coefficient of variation (CV)	0.95851221
Kurtosis	-0.63151969
Mean	29.688889
Median Absolute Deviation (MAD)	20
Skewness	0.57445336
Sum	1336
Variance	809.8101
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
0	15	33.3%
20	2	4.4%
19	2	4.4%
42	2	4.4%
43	2	4.4%
16	2	4.4%
71	2	4.4%
60	2	4.4%
46	1	2.2%
51	1	2.2%
Other values (14)	14	31.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	15	33.3%
9	1	2.2%
10	1	2.2%
16	2	4.4%
19	2	4.4%
20	2	4.4%
29	1	2.2%
31	1	2.2%
38	1	2.2%
41	1	2.2%

Value	Count	Frequency (%)
103	1	2.2%
84	1	2.2%
73	1	2.2%
71	2	4.4%
69	1	2.2%
60	2	4.4%
59	1	2.2%
58	1	2.2%
51	1	2.2%
48	1	2.2%

중형
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	18
Distinct (%)	40.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.955556

Minimum	0
Maximum	56
Zeros	24
Zeros (%)	53.3%
Negative	0
Negative (%)	0.0%
Memory size	537.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	18
95-th percentile	47.6
Maximum	56
Range	56
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	17.801884
Coefficient of variation (CV)	1.4890052
Kurtosis	0.10971601
Mean	11.955556
Median Absolute Deviation (MAD)	0
Skewness	1.266437
Sum	538
Variance	316.90707
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
0	24	53.3%
40	3	6.7%
5	3	6.7%
12	1	2.2%
56	1	2.2%
34	1	2.2%
37	1	2.2%
16	1	2.2%
48	1	2.2%
25	1	2.2%
Other values (8)	8	17.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	24	53.3%
2	1	2.2%
4	1	2.2%
5	3	6.7%
7	1	2.2%
12	1	2.2%
13	1	2.2%
16	1	2.2%
18	1	2.2%
25	1	2.2%

Value	Count	Frequency (%)
56	1	2.2%
53	1	2.2%
48	1	2.2%
46	1	2.2%
40	3	6.7%
37	1	2.2%
34	1	2.2%
32	1	2.2%
25	1	2.2%
18	1	2.2%

상용차
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	29
Distinct (%)	64.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48.977778

Minimum	0
Maximum	121
Zeros	5
Zeros (%)	11.1%
Negative	0
Negative (%)	0.0%
Memory size	537.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	42
median	50
Q3	59
95-th percentile	101.6
Maximum	121
Range	121
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	27.583336
Coefficient of variation (CV)	0.56318063
Kurtosis	0.75717316
Mean	48.977778
Median Absolute Deviation (MAD)	8
Skewness	0.093252415
Sum	2204
Variance	760.8404
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
0	5	11.1%
50	3	6.7%
56	3	6.7%
42	3	6.7%
43	3	6.7%
60	2	4.4%
59	2	4.4%
46	2	4.4%
51	2	4.4%
103	1	2.2%
Other values (19)	19	42.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	11.1%
2	1	2.2%
11	1	2.2%
16	1	2.2%
40	1	2.2%
42	3	6.7%
43	3	6.7%
44	1	2.2%
46	2	4.4%
48	1	2.2%

Value	Count	Frequency (%)
121	1	2.2%
105	1	2.2%
103	1	2.2%
96	1	2.2%
76	1	2.2%
73	1	2.2%
69	1	2.2%
66	1	2.2%
62	1	2.2%
60	2	4.4%

예비차
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	9
Distinct (%)	20.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.1111111

Minimum	0
Maximum	8
Zeros	9
Zeros (%)	20.0%
Negative	0
Negative (%)	0.0%
Memory size	537.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	4
95-th percentile	6.8
Maximum	8
Range	8
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.1343747
Coefficient of variation (CV)	0.68604903
Kurtosis	-0.5310733
Mean	3.1111111
Median Absolute Deviation (MAD)	1
Skewness	0.083470378
Sum	140
Variance	4.5555556
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
3	10	22.2%
4	9	20.0%
0	9	20.0%
5	6	13.3%
2	4	8.9%
7	2	4.4%
1	2	4.4%
6	2	4.4%
8	1	2.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	9	20.0%
1	2	4.4%
2	4	8.9%
3	10	22.2%
4	9	20.0%
5	6	13.3%
6	2	4.4%
7	2	4.4%
8	1	2.2%

Value	Count	Frequency (%)
8	1	2.2%
7	2	4.4%
6	2	4.4%
5	6	13.3%
4	9	20.0%
3	10	22.2%
2	4	8.9%
1	2	4.4%
0	9	20.0%

Phik (φk)
Auto

Heatmap
Table

	번호	업체명	대표자	법인등록번호	사업자등록번호	전화번호	팩스번호	주사무소	노선수	좌석형	대형	중형	상용차	예비차
번호	1.000	1.000	0.754	1.000	1.000	1.000	0.987	0.876	0.467	0.000	0.490	0.543	0.617	0.389
업체명	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
대표자	0.754	1.000	1.000	1.000	1.000	1.000	0.972	0.958	0.775	0.597	0.000	0.000	0.000	0.874
법인등록번호	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
사업자등록번호	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
전화번호	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.963	1.000	1.000	0.000	1.000	1.000
팩스번호	0.987	1.000	0.972	1.000	1.000	1.000	1.000	1.000	0.986	0.000	0.979	0.931	1.000	0.912
주사무소	0.876	1.000	0.958	1.000	1.000	1.000	1.000	1.000	0.966	0.000	0.000	0.865	0.683	0.727
노선수	0.467	1.000	0.775	1.000	1.000	0.963	0.986	0.966	1.000	0.000	0.489	0.302	0.708	0.666
좌석형	0.000	1.000	0.597	1.000	1.000	1.000	0.000	0.000	0.000	1.000	0.572	0.000	0.503	0.327
대형	0.490	1.000	0.000	1.000	1.000	1.000	0.979	0.000	0.489	0.572	1.000	0.000	0.777	0.550
중형	0.543	1.000	0.000	1.000	1.000	0.000	0.931	0.865	0.302	0.000	0.000	1.000	0.000	0.539
상용차	0.617	1.000	0.000	1.000	1.000	1.000	1.000	0.683	0.708	0.503	0.777	0.000	1.000	0.820
예비차	0.389	1.000	0.874	1.000	1.000	1.000	0.912	0.727	0.666	0.327	0.550	0.539	0.820	1.000

Heatmap
Table

	번호	노선수	좌석형	대형	중형	상용차	예비차
번호	1.000	-0.330	-0.157	-0.294	-0.125	-0.342	-0.327
노선수	-0.330	1.000	-0.004	0.291	0.574	0.583	0.635
좌석형	-0.157	-0.004	1.000	-0.158	-0.370	0.156	-0.027
대형	-0.294	0.291	-0.158	1.000	-0.171	0.687	0.370
중형	-0.125	0.574	-0.370	-0.171	1.000	0.109	0.422
상용차	-0.342	0.583	0.156	0.687	0.109	1.000	0.530
예비차	-0.327	0.635	-0.027	0.370	0.422	0.530	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

	번호	업체명	대표자	법인등록번호	사업자등록번호	전화번호	팩스번호	주사무소	노선수	좌석형	대형	중형	상용차	예비차
0	1	강인교통	최영희	120111-0489064	122-86-04260	032-581-1738	032-574-8445	부평구 백범로 570(십정동)	4	50	0	0	50	5
1	2	강인여객	최영락, 최우석	120111-0007733	137-81-04568	032-578-1738	032-574-8445	부평구 백범로 570(십정동)	4	0	60	0	60	7
2	3	강화교통	노승후	120111-0415564	137-81-77789	032-933-8677032-886-8638	032-886-8633	강화군 선원면 중앙로219(김포시 양촌읍 향동로 20)	6	17	29	0	46	3
3	4	공영급행	장진수	120111-0482216	121-81-94589	032-432-2295	032-432-2297	원당대로 227-10(오류동 434-154)	12	0	19	25	44	4
4	5	더월드교통	김해숙	120111-0508731	131-86-18486	032-424-7878	032-424-9009	연수구 아카데미로 51번길 42	3	0	42	0	42	0
5	6	대인교통	김용옥,서여경	120111-0077562	131-81-23645	032-507-5938	032-525-3656	부평구 대정로 38-1, 3층(부평동)	7	0	19	32	51	5
6	7	도영운수	김명화	124611-0266632	131-81-67565	032-816-0966	032-816-0964	연수구 먼우금로19(동남상가 212)	6	0	43	12	55	2
7	8	동화운수	홍일원	120111-0008161	122-81-12237	032-547-1371	032-547-1373	계양구 효서로 56	5	0	103	0	103	3
8	9	마니교통	박수응, 김영모	120111-0868648	427-87-00583	032-584-8523	032-569-5819	서구 원창로 20(원창동)	8	57	48	0	105	3
9	10	명진교통	한강수, 박호정	124611-0261872	137-81-41035	032-330-3172	032-330-3173	서구 보도진로30번길 26(가좌동)	7	0	0	56	56	4

	번호	업체명	대표자	법인등록번호	사업자등록번호	전화번호	팩스번호	주사무소	노선수	좌석형	대형	중형	상용차	예비차
35	36	청라교통	김영한, 홍윤성	120111-0489056	122-86-04275	032-584-1738	032-574-8445	부평구 백범로 570(십정동)	4	30	20	0	50	5
36	37	청룡교통	김해숙, 백억	120111-0011445	137-81-01009	032-584-0890	032-584-0891	서구 한서로53번길 16(백석동 212-115)	4	0	42	0	42	3
37	38	태양여객	주상준	120111-0181842	122-81-56424	032-503-9112	032-503-9114	부평구 송내대로373번길 54	11	0	0	53	53	4
38	39	한국철도공사	나희승	160171-0004321	314-82-10024	042-615-5831(02-2639-3880)	02-361-8413	중구 제물량로 269(인천역)	1	11	0	0	11	1
39	40	해성운수	정곤	120111-0502311	137-81-96262	032-571-7290	032-571-7690	미추홀구 문화로 27 삼환상가 지층	11	0	20	46	66	8
40	41	수정관광화물	이병철	174711-0004775	505-81-22696	054-532-6883	<NA>	경북 상주시 사벌면 상풍로 390	1	0	0	0	0	0
41	42	코모빌리티협동조합	조용웅	134851-0012332	724-88-00138	1599-9360031-694-4110	<NA>	화성시 동탄문화센터로 61, 763호	4	0	0	0	0	0
42	43	인천관광공사	민민흥	120171-0007141	<NA>	032-899-7300	032-899-7309	미추홀타워 1706호(관광인프라팀)	2	0	0	0	0	0
43	44	강서관광㈜	황호선	<NA>	136-81-13443	032-434-0003	032-429-9977	남동구 구월로 42. 301,302호	2	0	0	0	0	0
44	45	셔틀콕모빌리티(주)	박무열	134811-0429200	818-81-00962	1668-0815	02-3275-2019	경기도 화성시 봉담읍 와우로73번길 6	1	0	0	0	0	0

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Open Punctuation

Other Symbol

Close Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

None

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Other Punctuation

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

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Space Separator

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters