Overview

Dataset statistics

Number of variables4
Number of observations382
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.4 KiB
Average record size in memory33.3 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description2021. 4. 23일 기준 인천광역시 군구별 이사화물 주선업체 현황자료로 군구명, 업체명, 주소 등의 자료를 제공합니다.
Author인천광역시
URLhttps://www.data.go.kr/data/15080925/fileData.do

Alerts

연번 is highly overall correlated with 군구명High correlation
군구명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:25:35.692606
Analysis finished2023-12-12 06:25:36.324195
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct382
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean191.5
Minimum1
Maximum382
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-12T15:25:36.419600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.05
Q196.25
median191.5
Q3286.75
95-th percentile362.95
Maximum382
Range381
Interquartile range (IQR)190.5

Descriptive statistics

Standard deviation110.41814
Coefficient of variation (CV)0.57659606
Kurtosis-1.2
Mean191.5
Median Absolute Deviation (MAD)95.5
Skewness0
Sum73153
Variance12192.167
MonotonicityStrictly increasing
2023-12-12T15:25:36.591211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
253 1
 
0.3%
262 1
 
0.3%
261 1
 
0.3%
260 1
 
0.3%
259 1
 
0.3%
258 1
 
0.3%
257 1
 
0.3%
256 1
 
0.3%
255 1
 
0.3%
Other values (372) 372
97.4%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
382 1
0.3%
381 1
0.3%
380 1
0.3%
379 1
0.3%
378 1
0.3%
377 1
0.3%
376 1
0.3%
375 1
0.3%
374 1
0.3%
373 1
0.3%

군구명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
남동구
119 
미추홀구
94 
부평구
52 
계양구
37 
서구
28 
Other values (4)
52 

Length

Max length4
Median length3
Mean length3.1099476
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남동구 119
31.2%
미추홀구 94
24.6%
부평구 52
13.6%
계양구 37
 
9.7%
서구 28
 
7.3%
연수구 25
 
6.5%
중구 15
 
3.9%
동구 9
 
2.4%
강화군 3
 
0.8%

Length

2023-12-12T15:25:36.780651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:25:36.924175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남동구 119
31.2%
미추홀구 94
24.6%
부평구 52
13.6%
계양구 37
 
9.7%
서구 28
 
7.3%
연수구 25
 
6.5%
중구 15
 
3.9%
동구 9
 
2.4%
강화군 3
 
0.8%

업체명
Text

Distinct369
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T15:25:37.234122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length6.5445026
Min length2

Characters and Unicode

Total characters2500
Distinct characters291
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique357 ?
Unique (%)93.5%

Sample

1st row동인익스프레스
2nd row행복한이사
3rd row왕대박익스프레스
4th row영종공항익스프레스
5th row㈜씨에이치엘로지스
ValueCountFrequency (%)
삼호익스프레스 3
 
0.8%
이사몰 3
 
0.8%
새인천익스프레스 2
 
0.5%
이사친구 2
 
0.5%
통인익스프레스 2
 
0.5%
한솔이사 2
 
0.5%
대신익스프레스 2
 
0.5%
sk익스프레스 2
 
0.5%
kgb 2
 
0.5%
동부익스프레스 2
 
0.5%
Other values (371) 376
94.5%
2023-12-12T15:25:37.707293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 356
 
14.2%
프 138
 
5.5%
레 137
 
5.5%
익 135
 
5.4%
이 108
 
4.3%
사 83
 
3.3%
물 78
 
3.1%
㈜ 58
 
2.3%
류 45
 
1.8%
로 44
 
1.8%
Other values (281) 1318
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2285
91.4%
Other Symbol 58
 
2.3%
Uppercase Letter 44
 
1.8%
Decimal Number 43
 
1.7%
Space Separator 28
 
1.1%
Open Punctuation 15
 
0.6%
Close Punctuation 15
 
0.6%
Other Punctuation 7
 
0.3%
Lowercase Letter 4
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 356
 
15.6%
프 138
 
6.0%
레 137
 
6.0%
익 135
 
5.9%
이 108
 
4.7%
사 83
 
3.6%
물 78
 
3.4%
류 45
 
2.0%
로 44
 
1.9%
지 39
 
1.7%
Other values (250) 1122
49.1%
Uppercase Letter
ValueCountFrequency (%)
K 11
25.0%
G 7
15.9%
B 6
13.6%
S 5
11.4%
L 4
 
9.1%
H 3
 
6.8%
C 2
 
4.5%
T 1
 
2.3%
J 1
 
2.3%
O 1
 
2.3%
Other values (3) 3
 
6.8%
Decimal Number
ValueCountFrequency (%)
4 17
39.5%
2 15
34.9%
1 3
 
7.0%
3 2
 
4.7%
7 2
 
4.7%
0 2
 
4.7%
5 1
 
2.3%
9 1
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
l 2
50.0%
m 1
25.0%
a 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 6
85.7%
/ 1
 
14.3%
Other Symbol
ValueCountFrequency (%)
㈜ 58
100.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2343
93.7%
Common 109
 
4.4%
Latin 48
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 356
 
15.2%
프 138
 
5.9%
레 137
 
5.8%
익 135
 
5.8%
이 108
 
4.6%
사 83
 
3.5%
물 78
 
3.3%
㈜ 58
 
2.5%
류 45
 
1.9%
로 44
 
1.9%
Other values (251) 1161
49.6%
Latin
ValueCountFrequency (%)
K 11
22.9%
G 7
14.6%
B 6
12.5%
S 5
10.4%
L 4
 
8.3%
H 3
 
6.2%
l 2
 
4.2%
C 2
 
4.2%
T 1
 
2.1%
m 1
 
2.1%
Other values (6) 6
12.5%
Common
ValueCountFrequency (%)
28
25.7%
4 17
15.6%
2 15
13.8%
( 15
13.8%
) 15
13.8%
. 6
 
5.5%
1 3
 
2.8%
3 2
 
1.8%
7 2
 
1.8%
0 2
 
1.8%
Other values (4) 4
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2285
91.4%
ASCII 157
 
6.3%
None 58
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 356
 
15.6%
프 138
 
6.0%
레 137
 
6.0%
익 135
 
5.9%
이 108
 
4.7%
사 83
 
3.6%
물 78
 
3.4%
류 45
 
2.0%
로 44
 
1.9%
지 39
 
1.7%
Other values (250) 1122
49.1%
None
ValueCountFrequency (%)
㈜ 58
100.0%
ASCII
ValueCountFrequency (%)
28
17.8%
4 17
10.8%
2 15
9.6%
( 15
9.6%
) 15
9.6%
K 11
 
7.0%
G 7
 
4.5%
. 6
 
3.8%
B 6
 
3.8%
S 5
 
3.2%
Other values (20) 32
20.4%

주소
Text

Distinct375
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T15:25:37.979424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length45
Mean length29.921466
Min length15

Characters and Unicode

Total characters11430
Distinct characters293
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

Unique368 ?
Unique (%)96.3%

Sample

1st row인천광역시 중구 송월동1가 9-23
2nd row인천광역시 중구 월미로 262(북성동1가)
3rd row인천광역시 중구 서해대로418번길 5(신흥동3가)
4th row인천광역시 중구 운남로82번길 22-2(운남동)
5th row인천광역시 중구 공항동로296번길 98-114, 인천국제물류센터 비1블럭 비동 208-4호 (운서동)
ValueCountFrequency (%)
인천광역시 381
 
19.2%
남동구 119
 
6.0%
미추홀구 88
 
4.4%
부평구 51
 
2.6%
계양구 37
 
1.9%
연수구 25
 
1.3%
중구 15
 
0.8%
1층 13
 
0.7%
2층 12
 
0.6%
16 9
 
0.5%
Other values (903) 1233
62.2%
2023-12-12T15:25:38.383983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1616
 
14.1%
동 502
 
4.4%
1 485
 
4.2%
인 415
 
3.6%
천 412
 
3.6%
광 391
 
3.4%
시 384
 
3.4%
역 384
 
3.4%
구 382
 
3.3%
로 345
 
3.0%
Other values (283) 6114
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6648
58.2%
Decimal Number 2170
 
19.0%
Space Separator 1616
 
14.1%
Other Punctuation 311
 
2.7%
Open Punctuation 271
 
2.4%
Close Punctuation 271
 
2.4%
Dash Punctuation 123
 
1.1%
Uppercase Letter 20
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 502
 
7.6%
인 415
 
6.2%
천 412
 
6.2%
광 391
 
5.9%
시 384
 
5.8%
역 384
 
5.8%
구 382
 
5.7%
로 345
 
5.2%
길 203
 
3.1%
번 194
 
2.9%
Other values (260) 3036
45.7%
Decimal Number
ValueCountFrequency (%)
1 485
22.4%
2 322
14.8%
3 242
11.2%
0 235
10.8%
4 184
 
8.5%
5 161
 
7.4%
6 144
 
6.6%
7 143
 
6.6%
8 128
 
5.9%
9 126
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 8
40.0%
A 6
30.0%
K 2
 
10.0%
T 2
 
10.0%
C 1
 
5.0%
D 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 302
97.1%
. 8
 
2.6%
/ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1616
100.0%
Open Punctuation
ValueCountFrequency (%)
( 271
100.0%
Close Punctuation
ValueCountFrequency (%)
) 271
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6648
58.2%
Common 4762
41.7%
Latin 20
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 502
 
7.6%
인 415
 
6.2%
천 412
 
6.2%
광 391
 
5.9%
시 384
 
5.8%
역 384
 
5.8%
구 382
 
5.7%
로 345
 
5.2%
길 203
 
3.1%
번 194
 
2.9%
Other values (260) 3036
45.7%
Common
ValueCountFrequency (%)
1616
33.9%
1 485
 
10.2%
2 322
 
6.8%
, 302
 
6.3%
( 271
 
5.7%
) 271
 
5.7%
3 242
 
5.1%
0 235
 
4.9%
4 184
 
3.9%
5 161
 
3.4%
Other values (7) 673
14.1%
Latin
ValueCountFrequency (%)
B 8
40.0%
A 6
30.0%
K 2
 
10.0%
T 2
 
10.0%
C 1
 
5.0%
D 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6648
58.2%
ASCII 4782
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1616
33.8%
1 485
 
10.1%
2 322
 
6.7%
, 302
 
6.3%
( 271
 
5.7%
) 271
 
5.7%
3 242
 
5.1%
0 235
 
4.9%
4 184
 
3.8%
5 161
 
3.4%
Other values (13) 693
14.5%
Hangul
ValueCountFrequency (%)
동 502
 
7.6%
인 415
 
6.2%
천 412
 
6.2%
광 391
 
5.9%
시 384
 
5.8%
역 384
 
5.8%
구 382
 
5.7%
로 345
 
5.2%
길 203
 
3.1%
번 194
 
2.9%
Other values (260) 3036
45.7%

Interactions

2023-12-12T15:25:36.023752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:25:38.465040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번군구명
연번1.0000.910
군구명0.9101.000
2023-12-12T15:25:38.543991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번군구명
연번1.0000.722
군구명0.7221.000

Missing values

2023-12-12T15:25:36.173756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:25:36.287257image/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

연번군구명업체명주소
01중구동인익스프레스인천광역시 중구 송월동1가 9-23
12중구행복한이사인천광역시 중구 월미로 262(북성동1가)
23중구왕대박익스프레스인천광역시 중구 서해대로418번길 5(신흥동3가)
34중구영종공항익스프레스인천광역시 중구 운남로82번길 22-2(운남동)
45중구㈜씨에이치엘로지스인천광역시 중구 공항동로296번길 98-114, 인천국제물류센터 비1블럭 비동 208-4호 (운서동)
56중구㈜와스인천광역시 중구 자유무역로107번길 7(운서동)
67중구강추이사몰인천광역시 중구 운중로 137-9, 1층(중산동)
78중구현대화물인천광역시 중구 용유서로480번길 34(을왕동)
89중구대한상운인천광역시 중구 서해대로 130, 301호 (신흥동3가)
910중구㈜에스엠종합물류인천광역시 중구 공항동로296번길 98-114, 씨라인 204호(운서동, 국제물류센타)
연번군구명업체명주소
372373서구굴렁쇠로지스인천광역시 청중로478번길 16, 5층(가정동)
373374서구007트랜스인천광역시 원적로47번길 6, 풍림아파트 103동 상가112호(가좌동)
374375서구연합화물익스프레스인천광역시 장고개로 372, 3층(가좌동)
375376서구대현종합화물운송인천광역시 청라에메랄드로102번길 8-12, 507호(청라동, 아이케이비즈센터)
376377서구연희화물익스프레스인천광역시 승학로 286, 2층(연희동)
377378서구(주)준성익스프레스인천광역시 율도로 65번길 37,101(신현동)
378379서구(주)홈케어2424인천광역시 경명대로 694번길1,2층202호
379380강화군가람익스프레스인천광역시 강화군 강화읍 갑룡길 81-5, 2층
380381강화군제이엘로지스인천광역시 강화군 강화읍 강화대로471번길 1
381382강화군젊은익스프레스인천광역시 강화군 강화읍 갑룡길 206번길 22-84