Overview

Dataset statistics

Number of variables6
Number of observations495
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.3 KiB
Average record size in memory50.3 B

Variable types

Numeric2
Text2
Categorical2

Dataset

Description인천광역시에 등록되어 있는 국제물류주선업 등록업체 현황 정보를 제공합니다. (등록번호, 업체명, 주소, 군구명 등 항목 제공)
Author인천광역시
URLhttps://www.data.go.kr/data/15101497/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 등록번호High correlation
등록번호 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
등록번호 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:23:42.194049
Analysis finished2023-12-12 15:23:43.424018
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct495
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean248
Minimum1
Maximum495
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T00:23:43.534520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile25.7
Q1124.5
median248
Q3371.5
95-th percentile470.3
Maximum495
Range494
Interquartile range (IQR)247

Descriptive statistics

Standard deviation143.03846
Coefficient of variation (CV)0.57676797
Kurtosis-1.2
Mean248
Median Absolute Deviation (MAD)124
Skewness0
Sum122760
Variance20460
MonotonicityStrictly increasing
2023-12-13T00:23:43.782355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
327 1
 
0.2%
340 1
 
0.2%
339 1
 
0.2%
338 1
 
0.2%
337 1
 
0.2%
336 1
 
0.2%
335 1
 
0.2%
334 1
 
0.2%
333 1
 
0.2%
Other values (485) 485
98.0%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
495 1
0.2%
494 1
0.2%
493 1
0.2%
492 1
0.2%
491 1
0.2%
490 1
0.2%
489 1
0.2%
488 1
0.2%
487 1
0.2%
486 1
0.2%

등록번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct495
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean578.49697
Minimum1
Maximum937
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T00:23:44.027030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile96.8
Q1372.5
median641
Q3807.5
95-th percentile912.3
Maximum937
Range936
Interquartile range (IQR)435

Descriptive statistics

Standard deviation264.83706
Coefficient of variation (CV)0.45780198
Kurtosis-0.94902735
Mean578.49697
Median Absolute Deviation (MAD)198
Skewness-0.50588243
Sum286356
Variance70138.668
MonotonicityStrictly increasing
2023-12-13T00:23:44.208899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
753 1
 
0.2%
770 1
 
0.2%
769 1
 
0.2%
768 1
 
0.2%
767 1
 
0.2%
766 1
 
0.2%
765 1
 
0.2%
764 1
 
0.2%
763 1
 
0.2%
Other values (485) 485
98.0%
ValueCountFrequency (%)
1 1
0.2%
4 1
0.2%
10 1
0.2%
14 1
0.2%
16 1
0.2%
22 1
0.2%
29 1
0.2%
32 1
0.2%
40 1
0.2%
50 1
0.2%
ValueCountFrequency (%)
937 1
0.2%
936 1
0.2%
935 1
0.2%
934 1
0.2%
933 1
0.2%
932 1
0.2%
931 1
0.2%
930 1
0.2%
929 1
0.2%
928 1
0.2%

업체명
Text

UNIQUE 

Distinct495
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-13T00:23:44.592551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length40
Mean length11.258586
Min length3

Characters and Unicode

Total characters5573
Distinct characters316
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique495 ?
Unique (%)100.0%

Sample

1st row㈜선광
2nd row동화실업㈜
3rd row㈜디티씨
4th row삼영물류㈜
5th row㈜대영국제운송
ValueCountFrequency (%)
주식회사 172
 
21.0%
co 33
 
4.0%
ltd 32
 
3.9%
logistics 12
 
1.5%
co.,ltd 10
 
1.2%
logis 4
 
0.5%
korea 3
 
0.4%
3
 
0.4%
inc 3
 
0.4%
logistic 3
 
0.4%
Other values (536) 543
66.4%
2023-12-13T00:23:45.594790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 391
 
7.0%
333
 
6.0%
㈜ 310
 
5.6%
로 228
 
4.1%
지 204
 
3.7%
사 181
 
3.2%
주 180
 
3.2%
회 178
 
3.2%
식 175
 
3.1%
이 161
 
2.9%
Other values (306) 3232
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3910
70.2%
Uppercase Letter 439
 
7.9%
Lowercase Letter 336
 
6.0%
Space Separator 333
 
6.0%
Other Symbol 310
 
5.6%
Other Punctuation 138
 
2.5%
Open Punctuation 53
 
1.0%
Close Punctuation 52
 
0.9%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 391
 
10.0%
로 228
 
5.8%
지 204
 
5.2%
사 181
 
4.6%
주 180
 
4.6%
회 178
 
4.6%
식 175
 
4.5%
이 161
 
4.1%
틱 115
 
2.9%
에 112
 
2.9%
Other values (254) 1985
50.8%
Uppercase Letter
ValueCountFrequency (%)
L 76
17.3%
C 54
12.3%
S 38
8.7%
I 33
 
7.5%
O 32
 
7.3%
G 28
 
6.4%
T 28
 
6.4%
A 27
 
6.2%
N 22
 
5.0%
D 16
 
3.6%
Other values (13) 85
19.4%
Lowercase Letter
ValueCountFrequency (%)
o 62
18.5%
t 53
15.8%
d 38
11.3%
i 36
10.7%
s 27
8.0%
g 21
 
6.2%
l 17
 
5.1%
e 17
 
5.1%
n 15
 
4.5%
c 15
 
4.5%
Other values (10) 35
10.4%
Other Punctuation
ValueCountFrequency (%)
. 84
60.9%
, 43
31.2%
& 11
 
8.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
333
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 310
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4220
75.7%
Latin 775
 
13.9%
Common 578
 
10.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 391
 
9.3%
㈜ 310
 
7.3%
로 228
 
5.4%
지 204
 
4.8%
사 181
 
4.3%
주 180
 
4.3%
회 178
 
4.2%
식 175
 
4.1%
이 161
 
3.8%
틱 115
 
2.7%
Other values (255) 2097
49.7%
Latin
ValueCountFrequency (%)
L 76
 
9.8%
o 62
 
8.0%
C 54
 
7.0%
t 53
 
6.8%
d 38
 
4.9%
S 38
 
4.9%
i 36
 
4.6%
I 33
 
4.3%
O 32
 
4.1%
G 28
 
3.6%
Other values (33) 325
41.9%
Common
ValueCountFrequency (%)
333
57.6%
. 84
 
14.5%
( 53
 
9.2%
) 52
 
9.0%
, 43
 
7.4%
& 11
 
1.9%
1 1
 
0.2%
2 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3910
70.2%
ASCII 1353
 
24.3%
None 310
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 391
 
10.0%
로 228
 
5.8%
지 204
 
5.2%
사 181
 
4.6%
주 180
 
4.6%
회 178
 
4.6%
식 175
 
4.5%
이 161
 
4.1%
틱 115
 
2.9%
에 112
 
2.9%
Other values (254) 1985
50.8%
ASCII
ValueCountFrequency (%)
333
24.6%
. 84
 
6.2%
L 76
 
5.6%
o 62
 
4.6%
C 54
 
4.0%
( 53
 
3.9%
t 53
 
3.9%
) 52
 
3.8%
, 43
 
3.2%
d 38
 
2.8%
Other values (41) 505
37.3%
None
ValueCountFrequency (%)
㈜ 310
100.0%

주 소
Text

Distinct489
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-13T00:23:45.972681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length49
Mean length38.012121
Min length19

Characters and Unicode

Total characters18816
Distinct characters325
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique483 ?
Unique (%)97.6%

Sample

1st row인천광역시 중구 축항대로 211번길 37 (항동7가)
2nd row인천광역시 중구 내항로 465-110 (북성동1가)
3rd row인천광역시 연수구 인천타워대로 323, 비동 2001호 (송도동, 송도센트로드)
4th row인천광역시 서구 건지로 100 (가좌동)
5th row인천광역시 서구 청라에메랄드로 79, 1층 씨22호(청라동)
ValueCountFrequency (%)
인천광역시 487
 
15.7%
중구 203
 
6.5%
연수구 123
 
4.0%
서구 53
 
1.7%
30 43
 
1.4%
미추홀구 41
 
1.3%
송도미래로 37
 
1.2%
비동 33
 
1.1%
운서동 28
 
0.9%
남동구 27
 
0.9%
Other values (1147) 2034
65.4%
2023-12-13T00:23:46.504193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2694
 
14.3%
동 749
 
4.0%
, 704
 
3.7%
1 601
 
3.2%
인 592
 
3.1%
천 555
 
2.9%
2 518
 
2.8%
구 511
 
2.7%
시 510
 
2.7%
역 509
 
2.7%
Other values (315) 10873
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10951
58.2%
Decimal Number 3353
 
17.8%
Space Separator 2694
 
14.3%
Other Punctuation 704
 
3.7%
Close Punctuation 484
 
2.6%
Open Punctuation 484
 
2.6%
Dash Punctuation 139
 
0.7%
Uppercase Letter 6
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 749
 
6.8%
인 592
 
5.4%
천 555
 
5.1%
구 511
 
4.7%
시 510
 
4.7%
역 509
 
4.6%
광 497
 
4.5%
로 495
 
4.5%
호 345
 
3.2%
송 257
 
2.3%
Other values (295) 5931
54.2%
Decimal Number
ValueCountFrequency (%)
1 601
17.9%
2 518
15.4%
3 460
13.7%
0 459
13.7%
9 250
7.5%
7 249
7.4%
6 237
 
7.1%
4 229
 
6.8%
5 201
 
6.0%
8 149
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
L 1
 
16.7%
F 1
 
16.7%
E 1
 
16.7%
Space Separator
ValueCountFrequency (%)
2694
100.0%
Other Punctuation
ValueCountFrequency (%)
, 704
100.0%
Close Punctuation
ValueCountFrequency (%)
) 484
100.0%
Open Punctuation
ValueCountFrequency (%)
( 484
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10952
58.2%
Common 7858
41.8%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 749
 
6.8%
인 592
 
5.4%
천 555
 
5.1%
구 511
 
4.7%
시 510
 
4.7%
역 509
 
4.6%
광 497
 
4.5%
로 495
 
4.5%
호 345
 
3.2%
송 257
 
2.3%
Other values (296) 5932
54.2%
Common
ValueCountFrequency (%)
2694
34.3%
, 704
 
9.0%
1 601
 
7.6%
2 518
 
6.6%
) 484
 
6.2%
( 484
 
6.2%
3 460
 
5.9%
0 459
 
5.8%
9 250
 
3.2%
7 249
 
3.2%
Other values (5) 955
 
12.2%
Latin
ValueCountFrequency (%)
B 3
50.0%
L 1
 
16.7%
F 1
 
16.7%
E 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10951
58.2%
ASCII 7864
41.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2694
34.3%
, 704
 
9.0%
1 601
 
7.6%
2 518
 
6.6%
) 484
 
6.2%
( 484
 
6.2%
3 460
 
5.8%
0 459
 
5.8%
9 250
 
3.2%
7 249
 
3.2%
Other values (9) 961
 
12.2%
Hangul
ValueCountFrequency (%)
동 749
 
6.8%
인 592
 
5.4%
천 555
 
5.1%
구 511
 
4.7%
시 510
 
4.7%
역 509
 
4.6%
광 497
 
4.5%
로 495
 
4.5%
호 345
 
3.2%
송 257
 
2.3%
Other values (295) 5931
54.2%
None
ValueCountFrequency (%)
㈜ 1
100.0%

군구
Categorical

Distinct10
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
중구
203 
연수구
123 
서구
54 
미추홀구
41 
남동구
28 
Other values (5)
46 

Length

Max length34
Median length2
Mean length2.6040404
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row중구
2nd row중구
3rd row연수구
4th row서구
5th row서구

Common Values

ValueCountFrequency (%)
중구 203
41.0%
연수구 123
24.8%
서구 54
 
10.9%
미추홀구 41
 
8.3%
남동구 28
 
5.7%
부평구 18
 
3.6%
계양구 15
 
3.0%
동구 11
 
2.2%
중구+U193U192:W194U192:W196U192:W198 1
 
0.2%
강화군 1
 
0.2%

Length

2023-12-13T00:23:46.646366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:23:46.766690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 203
41.0%
연수구 123
24.8%
서구 54
 
10.9%
미추홀구 41
 
8.3%
남동구 28
 
5.7%
부평구 18
 
3.6%
계양구 15
 
3.0%
동구 11
 
2.2%
중구+u193u192:w194u192:w196u192:w198 1
 
0.2%
강화군 1
 
0.2%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2022-06-21
495 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-06-21
2nd row2022-06-21
3rd row2022-06-21
4th row2022-06-21
5th row2022-06-21

Common Values

ValueCountFrequency (%)
2022-06-21 495
100.0%

Length

2023-12-13T00:23:46.910423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:23:46.995990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-06-21 495
100.0%

Interactions

2023-12-13T00:23:42.895285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:23:42.678193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:23:43.045180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:23:42.787741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:23:47.055430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번등록번호군구
연번1.0000.9760.176
등록번호0.9761.0000.218
군구0.1760.2181.000
2023-12-13T00:23:47.145293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번등록번호군구
연번1.0001.0000.054
등록번호1.0001.0000.068
군구0.0540.0681.000

Missing values

2023-12-13T00:23:43.192200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:23:43.355376image/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

연번등록번호업체명주 소군구데이터기준일
011㈜선광인천광역시 중구 축항대로 211번길 37 (항동7가)중구2022-06-21
124동화실업㈜인천광역시 중구 내항로 465-110 (북성동1가)중구2022-06-21
2310㈜디티씨인천광역시 연수구 인천타워대로 323, 비동 2001호 (송도동, 송도센트로드)연수구2022-06-21
3414삼영물류㈜인천광역시 서구 건지로 100 (가좌동)서구2022-06-21
4516㈜대영국제운송인천광역시 서구 청라에메랄드로 79, 1층 씨22호(청라동)서구2022-06-21
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