Overview

Dataset statistics

Number of variables9
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory80.7 B

Variable types

Numeric3
Text5
DateTime1

Dataset

Description인천광역시 서구관내에서 운영중인 일반택시 현황(업체명, 최초면허대수, 운수종사자수, 소재지, 대표자, 전화번호, 팩스번호)입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15067949&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
업체명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-18 02:11:17.791177
Analysis finished2024-03-18 02:11:19.069795
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-03-18T11:11:19.124518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2024-03-18T11:11:19.217107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

업체명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-18T11:11:19.370945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters161
Distinct characters47
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row검단교통(주)
2nd row경인운수(합)
3rd row공성교통(주)
4th row대덕택시(합)
5th row대도기업(주)
ValueCountFrequency (%)
검단교통(주 1
 
4.3%
서경운수(주 1
 
4.3%
한미교통(주 1
 
4.3%
풍진기업(주 1
 
4.3%
재인기업(주 1
 
4.3%
우일운수(주 1
 
4.3%
영하운수(합 1
 
4.3%
신진택시(주 1
 
4.3%
신원운수(주 1
 
4.3%
신광기업(합 1
 
4.3%
Other values (13) 13
56.5%
2024-03-18T11:11:19.641721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 23
14.3%
) 23
14.3%
주 13
 
8.1%
운 10
 
6.2%
수 9
 
5.6%
교 6
 
3.7%
통 6
 
3.7%
합 6
 
3.7%
업 5
 
3.1%
대 5
 
3.1%
Other values (37) 55
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115
71.4%
Open Punctuation 23
 
14.3%
Close Punctuation 23
 
14.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 13
 
11.3%
운 10
 
8.7%
수 9
 
7.8%
교 6
 
5.2%
통 6
 
5.2%
합 6
 
5.2%
업 5
 
4.3%
대 5
 
4.3%
신 4
 
3.5%
기 4
 
3.5%
Other values (35) 47
40.9%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 115
71.4%
Common 46
 
28.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 13
 
11.3%
운 10
 
8.7%
수 9
 
7.8%
교 6
 
5.2%
통 6
 
5.2%
합 6
 
5.2%
업 5
 
4.3%
대 5
 
4.3%
신 4
 
3.5%
기 4
 
3.5%
Other values (35) 47
40.9%
Common
ValueCountFrequency (%)
( 23
50.0%
) 23
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 115
71.4%
ASCII 46
 
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 23
50.0%
) 23
50.0%
Hangul
ValueCountFrequency (%)
주 13
 
11.3%
운 10
 
8.7%
수 9
 
7.8%
교 6
 
5.2%
통 6
 
5.2%
합 6
 
5.2%
업 5
 
4.3%
대 5
 
4.3%
신 4
 
3.5%
기 4
 
3.5%
Other values (35) 47
40.9%

최초면허대수
Real number (ℝ)

Distinct16
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.869565
Minimum2
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-03-18T11:11:19.775650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10
Q110
median15
Q334.5
95-th percentile50.9
Maximum55
Range53
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation16.471199
Coefficient of variation (CV)0.72022353
Kurtosis-0.73335749
Mean22.869565
Median Absolute Deviation (MAD)5
Skewness0.86841966
Sum526
Variance271.3004
MonotonicityNot monotonic
2024-03-18T11:11:19.870718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
10 6
26.1%
20 2
 
8.7%
11 2
 
8.7%
2 1
 
4.3%
43 1
 
4.3%
30 1
 
4.3%
39 1
 
4.3%
51 1
 
4.3%
49 1
 
4.3%
55 1
 
4.3%
Other values (6) 6
26.1%
ValueCountFrequency (%)
2 1
 
4.3%
10 6
26.1%
11 2
 
8.7%
12 1
 
4.3%
13 1
 
4.3%
15 1
 
4.3%
20 2
 
8.7%
21 1
 
4.3%
24 1
 
4.3%
30 1
 
4.3%
ValueCountFrequency (%)
55 1
4.3%
51 1
4.3%
50 1
4.3%
49 1
4.3%
43 1
4.3%
39 1
4.3%
30 1
4.3%
24 1
4.3%
21 1
4.3%
20 2
8.7%

운수종사자수
Real number (ℝ)

Distinct18
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.869565
Minimum54
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-03-18T11:11:19.973547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54
5-th percentile55.3
Q162.5
median69
Q385.5
95-th percentile110.5
Maximum126
Range72
Interquartile range (IQR)23

Descriptive statistics

Standard deviation19.952909
Coefficient of variation (CV)0.25956839
Kurtosis0.17756215
Mean76.869565
Median Absolute Deviation (MAD)9
Skewness1.051134
Sum1768
Variance398.11858
MonotonicityNot monotonic
2024-03-18T11:11:20.094982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
66 2
 
8.7%
69 2
 
8.7%
85 2
 
8.7%
67 2
 
8.7%
61 2
 
8.7%
98 1
 
4.3%
106 1
 
4.3%
126 1
 
4.3%
86 1
 
4.3%
58 1
 
4.3%
Other values (8) 8
34.8%
ValueCountFrequency (%)
54 1
4.3%
55 1
4.3%
58 1
4.3%
61 2
8.7%
62 1
4.3%
63 1
4.3%
66 2
8.7%
67 2
8.7%
69 2
8.7%
70 1
4.3%
ValueCountFrequency (%)
126 1
4.3%
111 1
4.3%
106 1
4.3%
105 1
4.3%
98 1
4.3%
86 1
4.3%
85 2
8.7%
78 1
4.3%
70 1
4.3%
69 2
8.7%

소재지
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-18T11:11:20.299474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length18.434783
Min length15

Characters and Unicode

Total characters424
Distinct characters46
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

Unique21 ?
Unique (%)91.3%

Sample

1st row인천광역시 서구 봉수대로 1493
2nd row인천광역시 서구 옻우물로 20
3rd row인천광역시 서구 중봉대로198번길 34
4th row인천광역시 서구 중봉대로 240
5th row인천광역시 서구 원적로17번길 16
ValueCountFrequency (%)
인천광역시 23
25.0%
서구 23
25.0%
중봉대로198번길 3
 
3.3%
24 2
 
2.2%
가정로 2
 
2.2%
옻우물로 2
 
2.2%
20 2
 
2.2%
석남로 1
 
1.1%
원적로37번길 1
 
1.1%
방축로 1
 
1.1%
Other values (32) 32
34.8%
2024-03-18T11:11:20.607243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69
16.3%
천 24
 
5.7%
인 23
 
5.4%
로 23
 
5.4%
광 23
 
5.4%
역 23
 
5.4%
시 23
 
5.4%
서 23
 
5.4%
구 23
 
5.4%
1 18
 
4.2%
Other values (36) 152
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 267
63.0%
Decimal Number 86
 
20.3%
Space Separator 69
 
16.3%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 24
9.0%
인 23
8.6%
로 23
8.6%
광 23
8.6%
역 23
8.6%
시 23
8.6%
서 23
8.6%
구 23
8.6%
길 15
 
5.6%
번 14
 
5.2%
Other values (24) 53
19.9%
Decimal Number
ValueCountFrequency (%)
1 18
20.9%
2 11
12.8%
3 10
11.6%
7 9
10.5%
9 9
10.5%
4 7
 
8.1%
8 7
 
8.1%
5 6
 
7.0%
0 6
 
7.0%
6 3
 
3.5%
Space Separator
ValueCountFrequency (%)
69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 267
63.0%
Common 157
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 24
9.0%
인 23
8.6%
로 23
8.6%
광 23
8.6%
역 23
8.6%
시 23
8.6%
서 23
8.6%
구 23
8.6%
길 15
 
5.6%
번 14
 
5.2%
Other values (24) 53
19.9%
Common
ValueCountFrequency (%)
69
43.9%
1 18
 
11.5%
2 11
 
7.0%
3 10
 
6.4%
7 9
 
5.7%
9 9
 
5.7%
4 7
 
4.5%
8 7
 
4.5%
5 6
 
3.8%
0 6
 
3.8%
Other values (2) 5
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 267
63.0%
ASCII 157
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
69
43.9%
1 18
 
11.5%
2 11
 
7.0%
3 10
 
6.4%
7 9
 
5.7%
9 9
 
5.7%
4 7
 
4.5%
8 7
 
4.5%
5 6
 
3.8%
0 6
 
3.8%
Other values (2) 5
 
3.2%
Hangul
ValueCountFrequency (%)
천 24
9.0%
인 23
8.6%
로 23
8.6%
광 23
8.6%
역 23
8.6%
시 23
8.6%
서 23
8.6%
구 23
8.6%
길 15
 
5.6%
번 14
 
5.2%
Other values (24) 53
19.9%

대표자
Text

Distinct19
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-18T11:11:20.759799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length4.2173913
Min length3

Characters and Unicode

Total characters97
Distinct characters48
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)65.2%

Sample

1st row김복태
2nd row유충희
3rd row진충남+진형민
4th row장인균
5th row임문규
ValueCountFrequency (%)
이해영 2
 
8.7%
하기철 2
 
8.7%
양준모+김성수+김철주 2
 
8.7%
유충희 2
 
8.7%
김동문 1
 
4.3%
김복태 1
 
4.3%
이민형 1
 
4.3%
박수웅 1
 
4.3%
김순옥+최상준 1
 
4.3%
허주현 1
 
4.3%
Other values (9) 9
39.1%
2024-03-18T11:11:21.034199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 10
 
10.3%
+ 7
 
7.2%
철 5
 
5.2%
준 4
 
4.1%
수 4
 
4.1%
이 3
 
3.1%
충 3
 
3.1%
주 3
 
3.1%
상 2
 
2.1%
문 2
 
2.1%
Other values (38) 54
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90
92.8%
Math Symbol 7
 
7.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 10
 
11.1%
철 5
 
5.6%
준 4
 
4.4%
수 4
 
4.4%
이 3
 
3.3%
충 3
 
3.3%
주 3
 
3.3%
상 2
 
2.2%
문 2
 
2.2%
진 2
 
2.2%
Other values (37) 52
57.8%
Math Symbol
ValueCountFrequency (%)
+ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90
92.8%
Common 7
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 10
 
11.1%
철 5
 
5.6%
준 4
 
4.4%
수 4
 
4.4%
이 3
 
3.3%
충 3
 
3.3%
주 3
 
3.3%
상 2
 
2.2%
문 2
 
2.2%
진 2
 
2.2%
Other values (37) 52
57.8%
Common
ValueCountFrequency (%)
+ 7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90
92.8%
ASCII 7
 
7.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 10
 
11.1%
철 5
 
5.6%
준 4
 
4.4%
수 4
 
4.4%
이 3
 
3.3%
충 3
 
3.3%
주 3
 
3.3%
상 2
 
2.2%
문 2
 
2.2%
진 2
 
2.2%
Other values (37) 52
57.8%
ASCII
ValueCountFrequency (%)
+ 7
100.0%

전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-18T11:11:21.202083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row032-563-1977
2nd row032-574-2299
3rd row032-578-7900
4th row032-571-5746
5th row032-571-7339
ValueCountFrequency (%)
032-563-1977 1
 
4.3%
032-864-6925 1
 
4.3%
032-571-1032 1
 
4.3%
032-577-4700 1
 
4.3%
032-575-3793 1
 
4.3%
032-577-2665 1
 
4.3%
032-582-1101 1
 
4.3%
032-571-3910 1
 
4.3%
032-578-1611 1
 
4.3%
032-576-2774 1
 
4.3%
Other values (13) 13
56.5%
2024-03-18T11:11:21.448808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 46
16.7%
2 41
14.9%
0 36
13.0%
3 35
12.7%
7 29
10.5%
5 27
9.8%
1 23
8.3%
6 12
 
4.3%
9 10
 
3.6%
8 9
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 41
17.8%
0 36
15.7%
3 35
15.2%
7 29
12.6%
5 27
11.7%
1 23
10.0%
6 12
 
5.2%
9 10
 
4.3%
8 9
 
3.9%
4 8
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 46
16.7%
2 41
14.9%
0 36
13.0%
3 35
12.7%
7 29
10.5%
5 27
9.8%
1 23
8.3%
6 12
 
4.3%
9 10
 
3.6%
8 9
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 46
16.7%
2 41
14.9%
0 36
13.0%
3 35
12.7%
7 29
10.5%
5 27
9.8%
1 23
8.3%
6 12
 
4.3%
9 10
 
3.6%
8 9
 
3.3%

팩스번호
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-18T11:11:21.602802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)91.3%

Sample

1st row032-563-1971
2nd row032-574-0311
3rd row032-578-7902
4th row032-571-2911
5th row032-571-1251
ValueCountFrequency (%)
032-577-9114 2
 
8.7%
032-563-1971 1
 
4.3%
032-864-7594 1
 
4.3%
032-584-9007 1
 
4.3%
032-577-4701 1
 
4.3%
032-232-6139 1
 
4.3%
032-577-2664 1
 
4.3%
032-572-1116 1
 
4.3%
032-581-1611 1
 
4.3%
032-583-9339 1
 
4.3%
Other values (12) 12
52.2%
2024-03-18T11:11:21.874184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 46
16.7%
2 38
13.8%
0 36
13.0%
3 34
12.3%
7 29
10.5%
1 27
9.8%
5 23
8.3%
9 13
 
4.7%
6 11
 
4.0%
4 10
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 38
16.5%
0 36
15.7%
3 34
14.8%
7 29
12.6%
1 27
11.7%
5 23
10.0%
9 13
 
5.7%
6 11
 
4.8%
4 10
 
4.3%
8 9
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 46
16.7%
2 38
13.8%
0 36
13.0%
3 34
12.3%
7 29
10.5%
1 27
9.8%
5 23
8.3%
9 13
 
4.7%
6 11
 
4.0%
4 10
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 46
16.7%
2 38
13.8%
0 36
13.0%
3 34
12.3%
7 29
10.5%
1 27
9.8%
5 23
8.3%
9 13
 
4.7%
6 11
 
4.0%
4 10
 
3.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2022-08-12 00:00:00
Maximum2022-08-12 00:00:00
2024-03-18T11:11:22.014267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:11:22.092214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-18T11:11:18.510208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:11:18.082165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:11:18.277743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:11:18.571347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:11:18.140363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:11:18.348759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:11:18.824919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:11:18.202685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:11:18.428192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T11:11:22.160570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명최초면허대수운수종사자수소재지대표자전화번호팩스번호
연번1.0001.0000.3870.7060.9490.6711.0000.891
업체명1.0001.0001.0001.0001.0001.0001.0001.000
최초면허대수0.3871.0001.0000.0001.0000.0001.0000.741
운수종사자수0.7061.0000.0001.0000.9370.8931.0000.907
소재지0.9491.0001.0000.9371.0001.0001.0000.985
대표자0.6711.0000.0000.8931.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
팩스번호0.8911.0000.7410.9070.9851.0001.0001.000
2024-03-18T11:11:22.265406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번최초면허대수운수종사자수
연번1.0000.4970.008
최초면허대수0.4971.0000.219
운수종사자수0.0080.2191.000

Missing values

2024-03-18T11:11:18.916576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T11:11:19.028310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번업체명최초면허대수운수종사자수소재지대표자전화번호팩스번호데이터기준일자
01검단교통(주)266인천광역시 서구 봉수대로 1493김복태032-563-1977032-563-19712022-08-12
12경인운수(합)10105인천광역시 서구 옻우물로 20유충희032-574-2299032-574-03112022-08-12
23공성교통(주)10111인천광역시 서구 중봉대로198번길 34진충남+진형민032-578-7900032-578-79022022-08-12
34대덕택시(합)1078인천광역시 서구 중봉대로 240장인균032-571-5746032-571-29112022-08-12
45대도기업(주)1567인천광역시 서구 원적로17번길 16임문규032-571-7339032-571-12512022-08-12
56대명운수(합)1354인천광역시 서구 가정로 119-1고상옥032-575-8331032-577-72272022-08-12
67대일실업(유)2055인천광역시 서구 백범로 845-1이해영032-582-4220032-583-06062022-08-12
78대창운수(유)1062인천광역시 서구 원적로57번길 24최창경032-571-1500032-571-05002022-08-12
89동우교통(주)2463인천광역시 서구 염곡로272번길 10양준모+김성수+김철주032-572-3301032-572-33032022-08-12
910백제상운(주)2170인천광역시 서구 백범로604번길 11방선화032-574-2226032-574-22282022-08-12
연번업체명최초면허대수운수종사자수소재지대표자전화번호팩스번호데이터기준일자
1314성산운수(주)12126인천광역시 서구 방축로 333이민형032-572-4823032-576-90212022-08-12
1415신광기업(합)43106인천광역시 서구 가정로78번길 19이해영032-576-2774032-583-93392022-08-12
1516신원운수(주)1069인천광역시 서구 중봉대로198번길 38김만수+김장호032-578-1611032-581-16112022-08-12
1617신진택시(주)1161인천광역시 서구 원적로37번길 6김동문032-571-3910032-572-11162022-08-12
1718영하운수(합)4985인천광역시 서구 길주로75번길 3하기철032-582-1101032-577-91142022-08-12
1819우일운수(주)5198인천광역시 서구 가정로58번길 25허주현032-577-2665032-577-26642022-08-12
1920재인기업(주)3985인천광역시 서구 가정로 119김순옥+최상준032-575-3793032-232-61392022-08-12
2021풍진기업(주)3066인천광역시 서구 중봉대로198번길 30양준모+김성수+김철주032-577-4700032-577-47012022-08-12
2122한미교통(주)1167인천광역시 서구 석남로 24박수웅032-571-1032032-584-90072022-08-12
2223화신교통(자)2061인천광역시 서구 건지로95번길 29박재철032-581-9100032-581-91022022-08-12