Overview

Dataset statistics

Number of variables5
Number of observations87
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory42.5 B

Variable types

Numeric1
Text2
Categorical2

Dataset

Description인천광역시 중구 자동차 공회전 제한구역에 대한 정보입니다. 파일명 인천광역시 중구_자동차 공회전 제한구역 내용 명칭, 위치, 대상지 등
URLhttps://www.data.go.kr/data/15075005/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
연변 is highly overall correlated with 대상지High correlation
대상지 is highly overall correlated with 연변High correlation
연변 has unique valuesUnique
명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:50:13.862553
Analysis finished2023-12-12 12:50:14.417075
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연변
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44
Minimum1
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:50:14.498665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.3
Q122.5
median44
Q365.5
95-th percentile82.7
Maximum87
Range86
Interquartile range (IQR)43

Descriptive statistics

Standard deviation25.258662
Coefficient of variation (CV)0.5740605
Kurtosis-1.2
Mean44
Median Absolute Deviation (MAD)22
Skewness0
Sum3828
Variance638
MonotonicityStrictly increasing
2023-12-12T21:50:14.675302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
2 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
58 1
 
1.1%
Other values (77) 77
88.5%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%
79 1
1.1%
78 1
1.1%

명칭
Text

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2023-12-12T21:50:15.043681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.4252874
Min length2

Characters and Unicode

Total characters646
Distinct characters154
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

Unique87 ?
Unique (%)100.0%

Sample

1st row화물터미널
2nd row대한통운㈜
3rd row동원로엑스㈜
4th row삼양베이커 탱크터미널(주)
5th row서원기업(자)
ValueCountFrequency (%)
주차장 9
 
8.0%
공영주차장 3
 
2.7%
제2공영주차장 2
 
1.8%
동화마을 2
 
1.8%
율목동 2
 
1.8%
신흥시장 2
 
1.8%
율목로32번길 1
 
0.9%
신포국제시장주차장 1
 
0.9%
이민사박물관 1
 
0.9%
동인천길병원 1
 
0.9%
Other values (89) 89
78.8%
2023-12-12T21:50:15.549921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 37
 
5.7%
주 30
 
4.6%
차 30
 
4.6%
26
 
4.0%
동 21
 
3.3%
인 20
 
3.1%
원 17
 
2.6%
교 16
 
2.5%
학 15
 
2.3%
공 15
 
2.3%
Other values (144) 419
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 571
88.4%
Space Separator 26
 
4.0%
Decimal Number 26
 
4.0%
Other Symbol 7
 
1.1%
Uppercase Letter 6
 
0.9%
Dash Punctuation 3
 
0.5%
Other Punctuation 3
 
0.5%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 37
 
6.5%
주 30
 
5.3%
차 30
 
5.3%
동 21
 
3.7%
인 20
 
3.5%
원 17
 
3.0%
교 16
 
2.8%
학 15
 
2.6%
공 15
 
2.6%
천 14
 
2.5%
Other values (126) 356
62.3%
Decimal Number
ValueCountFrequency (%)
2 9
34.6%
1 8
30.8%
3 3
 
11.5%
4 2
 
7.7%
7 2
 
7.7%
8 1
 
3.8%
9 1
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
E 2
33.3%
M 2
33.3%
J 1
16.7%
P 1
16.7%
Other Punctuation
ValueCountFrequency (%)
· 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 578
89.5%
Common 62
 
9.6%
Latin 6
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 37
 
6.4%
주 30
 
5.2%
차 30
 
5.2%
동 21
 
3.6%
인 20
 
3.5%
원 17
 
2.9%
교 16
 
2.8%
학 15
 
2.6%
공 15
 
2.6%
천 14
 
2.4%
Other values (127) 363
62.8%
Common
ValueCountFrequency (%)
26
41.9%
2 9
 
14.5%
1 8
 
12.9%
3 3
 
4.8%
- 3
 
4.8%
· 2
 
3.2%
4 2
 
3.2%
) 2
 
3.2%
7 2
 
3.2%
( 2
 
3.2%
Other values (3) 3
 
4.8%
Latin
ValueCountFrequency (%)
E 2
33.3%
M 2
33.3%
J 1
16.7%
P 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 571
88.4%
ASCII 66
 
10.2%
None 9
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 37
 
6.5%
주 30
 
5.3%
차 30
 
5.3%
동 21
 
3.7%
인 20
 
3.5%
원 17
 
3.0%
교 16
 
2.8%
학 15
 
2.6%
공 15
 
2.6%
천 14
 
2.5%
Other values (126) 356
62.3%
ASCII
ValueCountFrequency (%)
26
39.4%
2 9
 
13.6%
1 8
 
12.1%
3 3
 
4.5%
- 3
 
4.5%
E 2
 
3.0%
4 2
 
3.0%
) 2
 
3.0%
M 2
 
3.0%
7 2
 
3.0%
Other values (6) 7
 
10.6%
None
ValueCountFrequency (%)
㈜ 7
77.8%
· 2
 
22.2%

위치
Text

Distinct86
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size828.0 B
2023-12-12T21:50:15.933769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length9.5747126
Min length5

Characters and Unicode

Total characters833
Distinct characters67
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)97.7%

Sample

1st row신흥동3가 70
2nd row항동3가 1
3rd row항동7가 95
4th row북성동1가 83-3
5th row항동7가 53-4
ValueCountFrequency (%)
항동7가 9
 
4.6%
신흥동3가 8
 
4.1%
율목동 6
 
3.1%
일원 4
 
2.1%
참외전로 4
 
2.1%
북성동1가 4
 
2.1%
1-1 3
 
1.5%
용동 3
 
1.5%
내동 3
 
1.5%
인중로 3
 
1.5%
Other values (128) 147
75.8%
2023-12-12T21:50:16.484601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
107
 
12.8%
1 70
 
8.4%
3 56
 
6.7%
동 53
 
6.4%
- 51
 
6.1%
2 50
 
6.0%
7 37
 
4.4%
로 35
 
4.2%
가 31
 
3.7%
4 23
 
2.8%
Other values (57) 320
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 352
42.3%
Decimal Number 322
38.7%
Space Separator 107
 
12.8%
Dash Punctuation 51
 
6.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 53
 
15.1%
로 35
 
9.9%
가 31
 
8.8%
번 21
 
6.0%
길 18
 
5.1%
항 15
 
4.3%
신 15
 
4.3%
원 10
 
2.8%
흥 9
 
2.6%
성 7
 
2.0%
Other values (44) 138
39.2%
Decimal Number
ValueCountFrequency (%)
1 70
21.7%
3 56
17.4%
2 50
15.5%
7 37
11.5%
4 23
 
7.1%
0 20
 
6.2%
8 18
 
5.6%
6 18
 
5.6%
5 16
 
5.0%
9 14
 
4.3%
Space Separator
ValueCountFrequency (%)
107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 481
57.7%
Hangul 352
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 53
 
15.1%
로 35
 
9.9%
가 31
 
8.8%
번 21
 
6.0%
길 18
 
5.1%
항 15
 
4.3%
신 15
 
4.3%
원 10
 
2.8%
흥 9
 
2.6%
성 7
 
2.0%
Other values (44) 138
39.2%
Common
ValueCountFrequency (%)
107
22.2%
1 70
14.6%
3 56
11.6%
- 51
10.6%
2 50
10.4%
7 37
 
7.7%
4 23
 
4.8%
0 20
 
4.2%
8 18
 
3.7%
6 18
 
3.7%
Other values (3) 31
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 481
57.7%
Hangul 352
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
107
22.2%
1 70
14.6%
3 56
11.6%
- 51
10.6%
2 50
10.4%
7 37
 
7.7%
4 23
 
4.8%
0 20
 
4.2%
8 18
 
3.7%
6 18
 
3.7%
Other values (3) 31
 
6.4%
Hangul
ValueCountFrequency (%)
동 53
 
15.1%
로 35
 
9.9%
가 31
 
8.8%
번 21
 
6.0%
길 18
 
5.1%
항 15
 
4.3%
신 15
 
4.3%
원 10
 
2.8%
흥 9
 
2.6%
성 7
 
2.0%
Other values (44) 138
39.2%

대상지
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size828.0 B
주차장
45 
교육환경보호구역
19 
차고지
12 
다중이용시설
10 
터미널
 
1

Length

Max length8
Median length3
Mean length4.4367816
Min length3

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row터미널
2nd row차고지
3rd row차고지
4th row차고지
5th row차고지

Common Values

ValueCountFrequency (%)
주차장 45
51.7%
교육환경보호구역 19
21.8%
차고지 12
 
13.8%
다중이용시설 10
 
11.5%
터미널 1
 
1.1%

Length

2023-12-12T21:50:16.629931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:50:16.790678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주차장 45
51.7%
교육환경보호구역 19
21.8%
차고지 12
 
13.8%
다중이용시설 10
 
11.5%
터미널 1
 
1.1%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
2023-07-31
87 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-31
2nd row2023-07-31
3rd row2023-07-31
4th row2023-07-31
5th row2023-07-31

Common Values

ValueCountFrequency (%)
2023-07-31 87
100.0%

Length

2023-12-12T21:50:16.957812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:50:17.069077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-31 87
100.0%

Interactions

2023-12-12T21:50:14.159240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:50:17.131984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연변명칭위치대상지
연변1.0001.0000.9430.967
명칭1.0001.0001.0001.000
위치0.9431.0001.0001.000
대상지0.9671.0001.0001.000
2023-12-12T21:50:17.224162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연변대상지
연변1.0000.725
대상지0.7251.000

Missing values

2023-12-12T21:50:14.252090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:50:14.371877image/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

연변명칭위치대상지데이터 기준일자
01화물터미널신흥동3가 70터미널2023-07-31
12대한통운㈜항동3가 1차고지2023-07-31
23동원로엑스㈜항동7가 95차고지2023-07-31
34삼양베이커 탱크터미널(주)북성동1가 83-3차고지2023-07-31
45서원기업(자)항동7가 53-4차고지2023-07-31
56세방기업㈜항동7가 76-1차고지2023-07-31
67㈜공성운수신흥동3가 33-6차고지2023-07-31
78㈜선광항동7가 34-2차고지2023-07-31
89㈜케이씨티시항동7가 36-1차고지2023-07-31
910㈜한진신흥동3가 7-318차고지2023-07-31
연변명칭위치대상지데이터 기준일자
7778인천연안초등학교연안부두로 33번길 53교육환경보호구역2023-07-31
7879송도중학교제물량로 123교육환경보호구역2023-07-31
7980신흥여자중학교인항로 24번길 37교육환경보호구역2023-07-31
8081신흥중학교인항로 24번길 38교육환경보호구역2023-07-31
8182광성중·고등학교참외전로 244번길 47교육환경보호구역2023-07-31
8283제물포고등학교자유공원로 58-9교육환경보호구역2023-07-31
8384인성여자중·고등학교홍예문로 39교육환경보호구역2023-07-31
8485인일여자고등학교참외전로 72번길 10교육환경보호구역2023-07-31
8586인천여자상업고등학교인중로 146교육환경보호구역2023-07-31
8687인천중앙여자상업고등학교샛골로 31교육환경보호구역2023-07-31