Overview

Dataset statistics

Number of variables11
Number of observations43
Missing cells44
Missing cells (%)9.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory96.1 B

Variable types

Numeric4
Text3
Categorical2
DateTime1
Unsupported1

Dataset

Description화물자동차 운송주선사업 허가업체의 업체명, 주선업유형, 허가일자, 폐업일자, 주사무소, 관할관청 등 현황정보입니다.
URLhttps://www.data.go.kr/data/15080998/fileData.do

Alerts

관할관청 has constant value ""Constant
주사무소 우편번호 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 주사무소 우편번호High correlation
연번 has 1 (2.3%) missing valuesMissing
폐업일자 has 43 (100.0%) missing valuesMissing
폐업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 12:27:44.792704
Analysis finished2023-12-12 12:27:47.473088
Duration2.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)100.0%
Missing1
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean22.190476
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T21:27:47.591390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q111.25
median22.5
Q332.75
95-th percentile41.95
Maximum44
Range43
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation12.884549
Coefficient of variation (CV)0.5806342
Kurtosis-1.2019973
Mean22.190476
Median Absolute Deviation (MAD)11
Skewness0.022416714
Sum932
Variance166.01161
MonotonicityStrictly increasing
2023-12-12T21:27:47.794696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.3%
34 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
33 1
 
2.3%
Other values (32) 32
74.4%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
44 1
2.3%
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%
34 1
2.3%

업체명
Text

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-12T21:27:48.091780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length6.7674419
Min length3

Characters and Unicode

Total characters291
Distinct characters104
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)95.3%

Sample

1st row(주)정은운수
2nd row형제익스프레스
3rd row(주)고려통운
4th row용달이사드림콜
5th row케이지비광진남부대리점
ValueCountFrequency (%)
통인익스프레스 2
 
4.5%
스마트퀵화물 1
 
2.3%
전국용달 1
 
2.3%
나르미운송 1
 
2.3%
주)서브올로지스 1
 
2.3%
영영익스프레스 1
 
2.3%
퀵서비스 1
 
2.3%
재)우체국물류지원단 1
 
2.3%
파랑새특송 1
 
2.3%
광진퀵특송 1
 
2.3%
Other values (33) 33
75.0%
2023-12-12T21:27:48.672953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 33
 
11.3%
) 13
 
4.5%
( 13
 
4.5%
프 12
 
4.1%
주 12
 
4.1%
익 11
 
3.8%
레 11
 
3.8%
이 9
 
3.1%
지 9
 
3.1%
퀵 8
 
2.7%
Other values (94) 160
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 262
90.0%
Close Punctuation 13
 
4.5%
Open Punctuation 13
 
4.5%
Uppercase Letter 2
 
0.7%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 33
 
12.6%
프 12
 
4.6%
주 12
 
4.6%
익 11
 
4.2%
레 11
 
4.2%
이 9
 
3.4%
지 9
 
3.4%
퀵 8
 
3.1%
비 7
 
2.7%
물 6
 
2.3%
Other values (89) 144
55.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
O 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 262
90.0%
Common 27
 
9.3%
Latin 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 33
 
12.6%
프 12
 
4.6%
주 12
 
4.6%
익 11
 
4.2%
레 11
 
4.2%
이 9
 
3.4%
지 9
 
3.4%
퀵 8
 
3.1%
비 7
 
2.7%
물 6
 
2.3%
Other values (89) 144
55.0%
Common
ValueCountFrequency (%)
) 13
48.1%
( 13
48.1%
1
 
3.7%
Latin
ValueCountFrequency (%)
K 1
50.0%
O 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 262
90.0%
ASCII 29
 
10.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 33
 
12.6%
프 12
 
4.6%
주 12
 
4.6%
익 11
 
4.2%
레 11
 
4.2%
이 9
 
3.4%
지 9
 
3.4%
퀵 8
 
3.1%
비 7
 
2.7%
물 6
 
2.3%
Other values (89) 144
55.0%
ASCII
ValueCountFrequency (%)
) 13
44.8%
( 13
44.8%
1
 
3.4%
K 1
 
3.4%
O 1
 
3.4%

주선업유형
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
이사
23 
일반
18 
일반/이사
 
2

Length

Max length5
Median length2
Mean length2.1395349
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반
2nd row이사
3rd row일반/이사
4th row이사
5th row이사

Common Values

ValueCountFrequency (%)
이사 23
53.5%
일반 18
41.9%
일반/이사 2
 
4.7%

Length

2023-12-12T21:27:48.892582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:27:49.035407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이사 23
53.5%
일반 18
41.9%
일반/이사 2
 
4.7%

허가일자
Date

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum1977-01-25 00:00:00
Maximum2008-12-11 00:00:00
2023-12-12T21:27:49.231889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:27:49.486616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

주사무소 우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct34
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5023.093
Minimum4903
Maximum5117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T21:27:49.699717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4903
5-th percentile4904.3
Q14939
median5026
Q35092.5
95-th percentile5116
Maximum5117
Range214
Interquartile range (IQR)153.5

Descriptive statistics

Standard deviation77.373188
Coefficient of variation (CV)0.015403495
Kurtosis-1.5020444
Mean5023.093
Median Absolute Deviation (MAD)70
Skewness-0.23216666
Sum215993
Variance5986.6102
MonotonicityNot monotonic
2023-12-12T21:27:49.893936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
5116 5
 
11.6%
4903 3
 
7.0%
5088 2
 
4.7%
5093 2
 
4.7%
5115 2
 
4.7%
4996 1
 
2.3%
5003 1
 
2.3%
4934 1
 
2.3%
4917 1
 
2.3%
5012 1
 
2.3%
Other values (24) 24
55.8%
ValueCountFrequency (%)
4903 3
7.0%
4916 1
 
2.3%
4917 1
 
2.3%
4919 1
 
2.3%
4922 1
 
2.3%
4926 1
 
2.3%
4934 1
 
2.3%
4937 1
 
2.3%
4938 1
 
2.3%
4940 1
 
2.3%
ValueCountFrequency (%)
5117 1
 
2.3%
5116 5
11.6%
5115 2
 
4.7%
5113 1
 
2.3%
5093 2
 
4.7%
5092 1
 
2.3%
5088 2
 
4.7%
5087 1
 
2.3%
5082 1
 
2.3%
5075 1
 
2.3%

주사무소 주소
Text

Distinct32
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-12T21:27:50.203897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length17.767442
Min length13

Characters and Unicode

Total characters764
Distinct characters53
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

Unique26 ?
Unique (%)60.5%

Sample

1st row서울특별시 광진구 구의강변로 11
2nd row서울특별시 광진구 뚝섬로 714
3rd row서울특별시 광진구 자양동
4th row서울특별시 광진구 동일로34길 7
5th row서울특별시 광진구 중곡동
ValueCountFrequency (%)
서울특별시 43
26.2%
광진구 43
26.2%
34 5
 
3.0%
자양동 3
 
1.8%
자양번영로1길 3
 
1.8%
천호대로 3
 
1.8%
540 3
 
1.8%
강변역로4길 3
 
1.8%
68 3
 
1.8%
중곡동 3
 
1.8%
Other values (47) 52
31.7%
2023-12-12T21:27:50.702642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
15.8%
광 47
 
6.2%
구 45
 
5.9%
서 43
 
5.6%
특 43
 
5.6%
별 43
 
5.6%
시 43
 
5.6%
진 43
 
5.6%
울 43
 
5.6%
로 35
 
4.6%
Other values (43) 258
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 523
68.5%
Space Separator 121
 
15.8%
Decimal Number 118
 
15.4%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 47
9.0%
구 45
 
8.6%
서 43
 
8.2%
특 43
 
8.2%
별 43
 
8.2%
시 43
 
8.2%
진 43
 
8.2%
울 43
 
8.2%
로 35
 
6.7%
길 24
 
4.6%
Other values (32) 114
21.8%
Decimal Number
ValueCountFrequency (%)
3 21
17.8%
4 19
16.1%
1 17
14.4%
6 13
11.0%
5 13
11.0%
2 11
9.3%
8 10
8.5%
0 9
7.6%
7 5
 
4.2%
Space Separator
ValueCountFrequency (%)
121
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 523
68.5%
Common 241
31.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 47
9.0%
구 45
 
8.6%
서 43
 
8.2%
특 43
 
8.2%
별 43
 
8.2%
시 43
 
8.2%
진 43
 
8.2%
울 43
 
8.2%
로 35
 
6.7%
길 24
 
4.6%
Other values (32) 114
21.8%
Common
ValueCountFrequency (%)
121
50.2%
3 21
 
8.7%
4 19
 
7.9%
1 17
 
7.1%
6 13
 
5.4%
5 13
 
5.4%
2 11
 
4.6%
8 10
 
4.1%
0 9
 
3.7%
7 5
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 523
68.5%
ASCII 241
31.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
121
50.2%
3 21
 
8.7%
4 19
 
7.9%
1 17
 
7.1%
6 13
 
5.4%
5 13
 
5.4%
2 11
 
4.6%
8 10
 
4.1%
0 9
 
3.7%
7 5
 
2.1%
Hangul
ValueCountFrequency (%)
광 47
9.0%
구 45
 
8.6%
서 43
 
8.2%
특 43
 
8.2%
별 43
 
8.2%
시 43
 
8.2%
진 43
 
8.2%
울 43
 
8.2%
로 35
 
6.7%
길 24
 
4.6%
Other values (32) 114
21.8%

주사무소 상세주소
Text

Distinct38
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-12T21:27:50.984458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length9.4186047
Min length3

Characters and Unicode

Total characters405
Distinct characters58
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)79.1%

Sample

1st row2층 (중곡동)
2nd row102호 (자양동)
3rd row695 한양상가 208-3호
4th row(자양동)
5th row540-5
ValueCountFrequency (%)
자양동 10
 
13.0%
중곡동 7
 
9.1%
1층 5
 
6.5%
구의동 5
 
6.5%
군자동 5
 
6.5%
2층 4
 
5.2%
102호 2
 
2.6%
지층 2
 
2.6%
301호 1
 
1.3%
553-482 1
 
1.3%
Other values (35) 35
45.5%
2023-12-12T21:27:51.402014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 38
 
9.4%
36
 
8.9%
( 34
 
8.4%
) 34
 
8.4%
1 23
 
5.7%
2 17
 
4.2%
자 16
 
4.0%
층 16
 
4.0%
호 15
 
3.7%
양 15
 
3.7%
Other values (48) 161
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 189
46.7%
Decimal Number 96
23.7%
Space Separator 36
 
8.9%
Open Punctuation 34
 
8.4%
Close Punctuation 34
 
8.4%
Dash Punctuation 9
 
2.2%
Other Punctuation 6
 
1.5%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 38
20.1%
자 16
 
8.5%
층 16
 
8.5%
호 15
 
7.9%
양 15
 
7.9%
의 10
 
5.3%
곡 9
 
4.8%
중 9
 
4.8%
구 9
 
4.8%
군 5
 
2.6%
Other values (32) 47
24.9%
Decimal Number
ValueCountFrequency (%)
1 23
24.0%
2 17
17.7%
0 10
10.4%
4 10
10.4%
3 10
10.4%
6 9
 
9.4%
5 9
 
9.4%
8 4
 
4.2%
9 3
 
3.1%
7 1
 
1.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 215
53.1%
Hangul 189
46.7%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 38
20.1%
자 16
 
8.5%
층 16
 
8.5%
호 15
 
7.9%
양 15
 
7.9%
의 10
 
5.3%
곡 9
 
4.8%
중 9
 
4.8%
구 9
 
4.8%
군 5
 
2.6%
Other values (32) 47
24.9%
Common
ValueCountFrequency (%)
36
16.7%
( 34
15.8%
) 34
15.8%
1 23
10.7%
2 17
7.9%
0 10
 
4.7%
4 10
 
4.7%
3 10
 
4.7%
- 9
 
4.2%
6 9
 
4.2%
Other values (5) 23
10.7%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 216
53.3%
Hangul 189
46.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 38
20.1%
자 16
 
8.5%
층 16
 
8.5%
호 15
 
7.9%
양 15
 
7.9%
의 10
 
5.3%
곡 9
 
4.8%
중 9
 
4.8%
구 9
 
4.8%
군 5
 
2.6%
Other values (32) 47
24.9%
ASCII
ValueCountFrequency (%)
36
16.7%
( 34
15.7%
) 34
15.7%
1 23
10.6%
2 17
7.9%
0 10
 
4.6%
4 10
 
4.6%
3 10
 
4.6%
- 9
 
4.2%
6 9
 
4.2%
Other values (6) 24
11.1%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.546318
Minimum37.530884
Maximum37.570831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T21:27:51.587866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.530884
5-th percentile37.530902
Q137.534002
median37.545996
Q337.559631
95-th percentile37.568887
Maximum37.570831
Range0.0399469
Interquartile range (IQR)0.02562835

Descriptive statistics

Standard deviation0.013356257
Coefficient of variation (CV)0.00035572748
Kurtosis-1.3965106
Mean37.546318
Median Absolute Deviation (MAD)0.0125835
Skewness0.34897605
Sum1614.4917
Variance0.0001783896
MonotonicityNot monotonic
2023-12-12T21:27:51.782126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
37.5345528 4
 
9.3%
37.53259727 3
 
7.0%
37.56204615 2
 
4.7%
37.53089512 2
 
4.7%
37.532545 1
 
2.3%
37.53626349 1
 
2.3%
37.563613 1
 
2.3%
37.56108315 1
 
2.3%
37.54186168 1
 
2.3%
37.54599558 1
 
2.3%
Other values (26) 26
60.5%
ValueCountFrequency (%)
37.530884 1
 
2.3%
37.53089512 2
4.7%
37.53096764 1
 
2.3%
37.53226032 1
 
2.3%
37.532545 1
 
2.3%
37.53259727 3
7.0%
37.53341208 1
 
2.3%
37.5334517 1
 
2.3%
37.5345528 4
9.3%
37.53474322 1
 
2.3%
ValueCountFrequency (%)
37.5708309 1
2.3%
37.570489 1
2.3%
37.56947306 1
2.3%
37.563613 1
2.3%
37.56344856 1
2.3%
37.56204615 2
4.7%
37.56173055 1
2.3%
37.56108315 1
2.3%
37.56076701 1
2.3%
37.55964922 1
2.3%

경도
Real number (ℝ)

Distinct36
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.75522
Minimum127.06048
Maximum1274.0851
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T21:27:51.962074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.06048
5-th percentile127.06352
Q1127.07325
median127.08313
Q3127.09091
95-th percentile127.09566
Maximum1274.0851
Range1147.0246
Interquartile range (IQR)0.01766215

Descriptive statistics

Standard deviation174.91654
Coefficient of variation (CV)1.1376299
Kurtosis43
Mean153.75522
Median Absolute Deviation (MAD)0.0094714
Skewness6.5574385
Sum6611.4742
Variance30595.794
MonotonicityNot monotonic
2023-12-12T21:27:52.139810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
127.0740327 4
 
9.3%
127.0926014 3
 
7.0%
127.0847404 2
 
4.7%
127.0729578 2
 
4.7%
127.090864 1
 
2.3%
127.0612934 1
 
2.3%
127.08313 1
 
2.3%
127.0779269 1
 
2.3%
127.0928062 1
 
2.3%
127.0682218 1
 
2.3%
Other values (26) 26
60.5%
ValueCountFrequency (%)
127.0604752 1
2.3%
127.0612934 1
2.3%
127.0633902 1
2.3%
127.0646438 1
2.3%
127.0682218 1
2.3%
127.0691204 1
2.3%
127.069343 1
2.3%
127.0723514 1
2.3%
127.0729 1
2.3%
127.0729578 2
4.7%
ValueCountFrequency (%)
1274.085119 1
 
2.3%
127.1045038 1
 
2.3%
127.0956979 1
 
2.3%
127.0952932 1
 
2.3%
127.0944119 1
 
2.3%
127.094392 1
 
2.3%
127.0928062 1
 
2.3%
127.0926014 3
7.0%
127.0909649 1
 
2.3%
127.090864 1
 
2.3%

관할관청
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
서울특별시 광진구
43 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 광진구
2nd row서울특별시 광진구
3rd row서울특별시 광진구
4th row서울특별시 광진구
5th row서울특별시 광진구

Common Values

ValueCountFrequency (%)
서울특별시 광진구 43
100.0%

Length

2023-12-12T21:27:52.298012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:27:52.408457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 43
50.0%
광진구 43
50.0%

Interactions

2023-12-12T21:27:46.666696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:27:45.313630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:27:45.716506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:27:46.137864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:27:46.778924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:27:45.390793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:27:45.798901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:27:46.266443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:27:46.877352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:27:45.492143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:27:45.892031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:27:46.407146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:27:47.010832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:27:45.610749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:27:46.029621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:27:46.543201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:27:52.507472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명주선업유형허가일자주사무소 우편번호주사무소 주소주사무소 상세주소위도경도
연번1.0001.0000.3601.0000.3700.5540.8920.0000.000
업체명1.0001.0001.0000.9950.9630.9860.9900.8421.000
주선업유형0.3601.0001.0001.0000.6700.0000.9170.0000.000
허가일자1.0000.9951.0001.0001.0000.9860.9920.9281.000
주사무소 우편번호0.3700.9630.6701.0001.0000.7940.9420.8980.741
주사무소 주소0.5540.9860.0000.9860.7941.0000.9110.0000.000
주사무소 상세주소0.8920.9900.9170.9920.9420.9111.0000.9481.000
위도0.0000.8420.0000.9280.8980.0000.9481.0000.481
경도0.0001.0000.0001.0000.7410.0001.0000.4811.000
2023-12-12T21:27:52.670443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주사무소 우편번호위도경도주선업유형
연번1.000-0.0410.092-0.0350.197
주사무소 우편번호-0.0411.000-0.790-0.0100.476
위도0.092-0.7901.0000.1600.000
경도-0.035-0.0100.1601.0000.000
주선업유형0.1970.4760.0000.0001.000

Missing values

2023-12-12T21:27:47.172562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:27:47.388783image/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

연번업체명주선업유형허가일자폐업일자주사무소 우편번호주사무소 주소주사무소 상세주소위도경도관할관청
01(주)정은운수일반1999-11-25<NA>4938서울특별시 광진구 구의강변로 112층 (중곡동)37.532545127.090864서울특별시 광진구
12형제익스프레스이사1998-11-20<NA>5088서울특별시 광진구 뚝섬로 714102호 (자양동)37.534743127.060475서울특별시 광진구
23(주)고려통운일반/이사1982-12-29<NA>5115서울특별시 광진구 자양동695 한양상가 208-3호37.530968127.082257서울특별시 광진구
34용달이사드림콜이사1999-06-24<NA>5082서울특별시 광진구 동일로34길 7(자양동)37.535983127.06339서울특별시 광진구
45케이지비광진남부대리점이사1996-05-06<NA>5070서울특별시 광진구 중곡동540-537.5704891274.085119서울특별시 광진구
56통인익스프레스이사1997-11-29<NA>4922서울특별시 광진구 군자동1층 (중곡동)37.559612127.085732서울특별시 광진구
67전진익스프레스이사1999-04-14<NA>4937서울특별시 광진구 자양번영로1길 341층 (중곡동)37.561731127.08471서울특별시 광진구
78종합화물일반1994-12-07<NA>5021서울특별시 광진구 천호대로 540지층 (화양동)37.546459127.075583서울특별시 광진구
89통인익스프레스이사1992-12-30<NA>5117서울특별시 광진구 자양번영로1길 34201호(구의동)37.540187127.095293서울특별시 광진구
910(주)이에스원물류이사1977-01-25<NA>5093서울특별시 광진구 자양동301호 (자양동)37.530895127.072958서울특별시 광진구
연번업체명주선업유형허가일자폐업일자주사무소 우편번호주사무소 주소주사무소 상세주소위도경도관할관청
3335나르미운송이사1999-11-03<NA>5088서울특별시 광진구 용마산로21길 61101호 (자양동)37.536263127.061293서울특별시 광진구
3436(주)비지에프네트웍스일반1999-09-07<NA>5116서울특별시 광진구 아차산로 382사무동 24층 1-13호 (구의동)37.535721127.095698서울특별시 광진구
3537베테랑퀵서비스이사1992-10-23<NA>4934서울특별시 광진구 천호대로 5402층 (중곡동)37.563449127.083161서울특별시 광진구
3638더케이로지스틱일반2002-01-20<NA>5116서울특별시 광진구 자양번영로1길 34B동 206호 (구의동, 구의아크로리버)37.530884127.0729서울특별시 광진구
3740(주)지케이티글로벌이사1999-03-22<NA>5116서울특별시 광진구 아차산로38길 20613호 (구의동)37.532597127.092601서울특별시 광진구
3841세계익스프레스이사2001-12-13<NA>4903서울특별시 광진구 천호대로 540(중곡동)37.569473127.083869서울특별시 광진구
3942(주)로지스톡일반1998-09-19<NA>5003서울특별시 광진구 긴고랑로38길 164층 (군자동)37.548663127.069343서울특별시 광진구
4043오픈마일(주)일반2003-12-12<NA>4996서울특별시 광진구 자양로50길 382층 (군자동)37.552264127.094392서울특별시 광진구
4144전국용달일반2005-06-07<NA>5087서울특별시 광진구 능동로3길 53상가동 102호 (자양동, 극동아파트)37.533452127.064644서울특별시 광진구
42<NA>(주)퀵라인물류일반2002-04-24<NA>4903서울특별시 광진구 면목로 200(중곡동)37.570831127.083523서울특별시 광진구