Overview

Dataset statistics

Number of variables8
Number of observations222
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.2 KiB
Average record size in memory65.6 B

Variable types

Text3
Categorical4
Numeric1

Dataset

Description경기도 구리시 지역내에 위치한 모든 정류장에 대해 버스도착정보 안내를 위한 전광판 설치와 관련된 현황정보(정류소명, 번호, 도로명, 설치연도) 등을 제공합니다.
Author경기도 구리시
URLhttps://www.data.go.kr/data/3038667/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 23:43:52.586020
Analysis finished2023-12-12 23:43:53.127206
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

정류소명
Text

Distinct194
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T08:43:53.227395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length9.8513514
Min length3

Characters and Unicode

Total characters2187
Distinct characters212
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

Unique166 ?
Unique (%)74.8%

Sample

1st row동창마을/한진,금호아파트
2nd row구리문화원
3rd row동구릉
4th row건영/성원아파트
5th row최촌마을
ValueCountFrequency (%)
후문 9
 
3.6%
정문 4
 
1.6%
한라비발디 3
 
1.2%
인창 3
 
1.2%
삼보아파트 3
 
1.2%
세무서사거리 2
 
0.8%
세무서.교문초교 2
 
0.8%
토평정수장 2
 
0.8%
벌말.돌섬 2
 
0.8%
구리시장입구 2
 
0.8%
Other values (192) 219
87.3%
2023-12-13T08:43:53.515553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 118
 
5.4%
구 113
 
5.2%
( 109
 
5.0%
) 109
 
5.0%
/ 85
 
3.9%
트 56
 
2.6%
아 55
 
2.5%
서 55
 
2.5%
파 51
 
2.3%
갈 42
 
1.9%
Other values (202) 1394
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1794
82.0%
Open Punctuation 110
 
5.0%
Close Punctuation 110
 
5.0%
Other Punctuation 97
 
4.4%
Space Separator 29
 
1.3%
Decimal Number 27
 
1.2%
Uppercase Letter 18
 
0.8%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 118
 
6.6%
구 113
 
6.3%
트 56
 
3.1%
아 55
 
3.1%
서 55
 
3.1%
파 51
 
2.8%
갈 42
 
2.3%
울 42
 
2.3%
매 42
 
2.3%
문 39
 
2.2%
Other values (180) 1181
65.8%
Uppercase Letter
ValueCountFrequency (%)
L 4
22.2%
S 3
16.7%
K 3
16.7%
H 2
11.1%
I 2
11.1%
G 2
11.1%
C 2
11.1%
Decimal Number
ValueCountFrequency (%)
1 12
44.4%
2 7
25.9%
4 3
 
11.1%
6 3
 
11.1%
3 1
 
3.7%
5 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
/ 85
87.6%
. 8
 
8.2%
, 4
 
4.1%
Open Punctuation
ValueCountFrequency (%)
( 109
99.1%
[ 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 109
99.1%
] 1
 
0.9%
Space Separator
ValueCountFrequency (%)
29
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1794
82.0%
Common 373
 
17.1%
Latin 20
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 118
 
6.6%
구 113
 
6.3%
트 56
 
3.1%
아 55
 
3.1%
서 55
 
3.1%
파 51
 
2.8%
갈 42
 
2.3%
울 42
 
2.3%
매 42
 
2.3%
문 39
 
2.2%
Other values (180) 1181
65.8%
Common
ValueCountFrequency (%)
( 109
29.2%
) 109
29.2%
/ 85
22.8%
29
 
7.8%
1 12
 
3.2%
. 8
 
2.1%
2 7
 
1.9%
, 4
 
1.1%
4 3
 
0.8%
6 3
 
0.8%
Other values (4) 4
 
1.1%
Latin
ValueCountFrequency (%)
L 4
20.0%
S 3
15.0%
K 3
15.0%
H 2
10.0%
I 2
10.0%
G 2
10.0%
C 2
10.0%
e 2
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1794
82.0%
ASCII 393
 
18.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 118
 
6.6%
구 113
 
6.3%
트 56
 
3.1%
아 55
 
3.1%
서 55
 
3.1%
파 51
 
2.8%
갈 42
 
2.3%
울 42
 
2.3%
매 42
 
2.3%
문 39
 
2.2%
Other values (180) 1181
65.8%
ASCII
ValueCountFrequency (%)
( 109
27.7%
) 109
27.7%
/ 85
21.6%
29
 
7.4%
1 12
 
3.1%
. 8
 
2.0%
2 7
 
1.8%
, 4
 
1.0%
L 4
 
1.0%
S 3
 
0.8%
Other values (12) 23
 
5.9%

정류소 번호
Text

Distinct219
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T08:43:53.796676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.9774775
Min length1

Characters and Unicode

Total characters1327
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

Unique216 ?
Unique (%)97.3%

Sample

1st row22-091
2nd row22-080
3rd row22-072
4th row22-073
5th row22-067
ValueCountFrequency (%)
22-226 2
 
0.9%
22-198 2
 
0.9%
22-010 2
 
0.9%
22-006 1
 
0.5%
22-087 1
 
0.5%
22-221 1
 
0.5%
22-275 1
 
0.5%
22-091 1
 
0.5%
22-284 1
 
0.5%
22-270 1
 
0.5%
Other values (209) 209
94.1%
2023-12-13T08:43:54.394935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 543
40.9%
- 221
16.7%
0 131
 
9.9%
1 124
 
9.3%
3 61
 
4.6%
4 46
 
3.5%
8 43
 
3.2%
6 41
 
3.1%
9 39
 
2.9%
5 39
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1106
83.3%
Dash Punctuation 221
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 543
49.1%
0 131
 
11.8%
1 124
 
11.2%
3 61
 
5.5%
4 46
 
4.2%
8 43
 
3.9%
6 41
 
3.7%
9 39
 
3.5%
5 39
 
3.5%
7 39
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 221
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1327
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 543
40.9%
- 221
16.7%
0 131
 
9.9%
1 124
 
9.3%
3 61
 
4.6%
4 46
 
3.5%
8 43
 
3.2%
6 41
 
3.1%
9 39
 
2.9%
5 39
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1327
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 543
40.9%
- 221
16.7%
0 131
 
9.9%
1 124
 
9.3%
3 61
 
4.6%
4 46
 
3.5%
8 43
 
3.2%
6 41
 
3.1%
9 39
 
2.9%
5 39
 
2.9%

도로명
Text

Distinct75
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T08:43:54.636044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length6.4684685
Min length5

Characters and Unicode

Total characters1436
Distinct characters77
Distinct categories7 ?
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 (%)15.3%

Sample

1st row동구릉로-W
2nd row동구릉로-W
3rd row동구릉로-W
4th row동구릉로-W
5th row동구릉로-W
ValueCountFrequency (%)
동구릉로-w 13
 
5.3%
동구릉로-e 12
 
4.9%
10
 
4.1%
아차산로-e 9
 
3.7%
아차산로-w 8
 
3.3%
경춘로-n 8
 
3.3%
갈매중앙로-w 8
 
3.3%
갈매순환로-e 7
 
2.9%
이문안로-n 7
 
2.9%
경춘로-s 7
 
2.9%
Other values (68) 156
63.7%
2023-12-13T08:43:55.040983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 220
 
15.3%
로 211
 
14.7%
W 67
 
4.7%
E 65
 
4.5%
N 45
 
3.1%
S 42
 
2.9%
대 36
 
2.5%
구 34
 
2.4%
동 34
 
2.4%
릉 34
 
2.4%
Other values (67) 648
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 909
63.3%
Dash Punctuation 220
 
15.3%
Uppercase Letter 219
 
15.3%
Decimal Number 61
 
4.2%
Space Separator 23
 
1.6%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 211
23.2%
대 36
 
4.0%
구 34
 
3.7%
동 34
 
3.7%
릉 34
 
3.7%
길 30
 
3.3%
갈 28
 
3.1%
매 28
 
3.1%
경 27
 
3.0%
춘 27
 
3.0%
Other values (50) 420
46.2%
Decimal Number
ValueCountFrequency (%)
3 19
31.1%
4 10
16.4%
6 9
14.8%
7 8
13.1%
1 7
 
11.5%
2 4
 
6.6%
5 2
 
3.3%
8 1
 
1.6%
9 1
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
W 67
30.6%
E 65
29.7%
N 45
20.5%
S 42
19.2%
Dash Punctuation
ValueCountFrequency (%)
- 220
100.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 909
63.3%
Common 308
 
21.4%
Latin 219
 
15.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 211
23.2%
대 36
 
4.0%
구 34
 
3.7%
동 34
 
3.7%
릉 34
 
3.7%
길 30
 
3.3%
갈 28
 
3.1%
매 28
 
3.1%
경 27
 
3.0%
춘 27
 
3.0%
Other values (50) 420
46.2%
Common
ValueCountFrequency (%)
- 220
71.4%
23
 
7.5%
3 19
 
6.2%
4 10
 
3.2%
6 9
 
2.9%
7 8
 
2.6%
1 7
 
2.3%
2 4
 
1.3%
5 2
 
0.6%
) 2
 
0.6%
Other values (3) 4
 
1.3%
Latin
ValueCountFrequency (%)
W 67
30.6%
E 65
29.7%
N 45
20.5%
S 42
19.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 909
63.3%
ASCII 527
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 220
41.7%
W 67
 
12.7%
E 65
 
12.3%
N 45
 
8.5%
S 42
 
8.0%
23
 
4.4%
3 19
 
3.6%
4 10
 
1.9%
6 9
 
1.7%
7 8
 
1.5%
Other values (7) 19
 
3.6%
Hangul
ValueCountFrequency (%)
로 211
23.2%
대 36
 
4.0%
구 34
 
3.7%
동 34
 
3.7%
릉 34
 
3.7%
길 30
 
3.3%
갈 28
 
3.1%
매 28
 
3.1%
경 27
 
3.0%
춘 27
 
3.0%
Other values (50) 420
46.2%

버스모델
Categorical

Distinct10
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
LED-거치형(3단12열)
96 
LCD 32"-일체형
49 
LCD 32"-독립형
43 
LED-독립형(3단6열)
17 
LCD 46"+LED-일체형
 
7
Other values (5)
10 

Length

Max length18
Median length15
Mean length12.657658
Min length10

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st rowLCD 32"-일체형
2nd rowLCD 32"-일체형
3rd rowLCD 32"-독립형
4th rowLCD 32"-일체형
5th rowLCD 32"-독립형

Common Values

ValueCountFrequency (%)
LED-거치형(3단12열) 96
43.2%
LCD 32"-일체형 49
22.1%
LCD 32"-독립형 43
19.4%
LED-독립형(3단6열) 17
 
7.7%
LCD 46"+LED-일체형 7
 
3.2%
LCD 32"+LED-거치형 3
 
1.4%
LCD 46"-일체형 3
 
1.4%
LCD 32"-거치형 2
 
0.9%
LCD 46"일체형 1
 
0.5%
LCD 55" 독립형(KIOSK) 1
 
0.5%

Length

2023-12-13T08:43:55.188190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:43:55.315842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
lcd 109
32.8%
led-거치형(3단12열 96
28.9%
32"-일체형 49
14.8%
32"-독립형 43
 
13.0%
led-독립형(3단6열 17
 
5.1%
46"+led-일체형 7
 
2.1%
32"+led-거치형 3
 
0.9%
46"-일체형 3
 
0.9%
32"-거치형 2
 
0.6%
46"일체형 1
 
0.3%
Other values (2) 2
 
0.6%

설치연도
Real number (ℝ)

Distinct13
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015
Minimum2008
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-13T08:43:55.453358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2008
5-th percentile2010
Q12010
median2015.5
Q32018
95-th percentile2020.95
Maximum2021
Range13
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.0033922
Coefficient of variation (CV)0.0019867951
Kurtosis-1.4752997
Mean2015
Median Absolute Deviation (MAD)3.5
Skewness-0.046967509
Sum447330
Variance16.027149
MonotonicityNot monotonic
2023-12-13T08:43:55.574996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2010 54
24.3%
2018 38
17.1%
2020 33
14.9%
2013 30
13.5%
2016 16
 
7.2%
2021 12
 
5.4%
2014 7
 
3.2%
2012 6
 
2.7%
2017 6
 
2.7%
2019 6
 
2.7%
Other values (3) 14
 
6.3%
ValueCountFrequency (%)
2008 4
 
1.8%
2010 54
24.3%
2011 5
 
2.3%
2012 6
 
2.7%
2013 30
13.5%
2014 7
 
3.2%
2015 5
 
2.3%
2016 16
 
7.2%
2017 6
 
2.7%
2018 38
17.1%
ValueCountFrequency (%)
2021 12
 
5.4%
2020 33
14.9%
2019 6
 
2.7%
2018 38
17.1%
2017 6
 
2.7%
2016 16
7.2%
2015 5
 
2.3%
2014 7
 
3.2%
2013 30
13.5%
2012 6
 
2.7%

읍명동
Categorical

Distinct9
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
갈매동
49 
동구동
39 
수택3동
31 
인창동
25 
교문1동
25 
Other values (4)
53 

Length

Max length4
Median length3
Mean length3.481982
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
갈매동 49
22.1%
동구동 39
17.6%
수택3동 31
14.0%
인창동 25
11.3%
교문1동 25
11.3%
교문2동 23
10.4%
수택1동 17
 
7.7%
수택2동 11
 
5.0%
교문동 2
 
0.9%

Length

2023-12-13T08:43:55.694662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:43:55.810376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
갈매동 49
22.1%
동구동 39
17.6%
수택3동 31
14.0%
인창동 25
11.3%
교문1동 25
11.3%
교문2동 23
10.4%
수택1동 17
 
7.7%
수택2동 11
 
5.0%
교문동 2
 
0.9%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
경기도 구리시
222 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 구리시
2nd row경기도 구리시
3rd row경기도 구리시
4th row경기도 구리시
5th row경기도 구리시

Common Values

ValueCountFrequency (%)
경기도 구리시 222
100.0%

Length

2023-12-13T08:43:55.958774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:43:56.072114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 222
50.0%
구리시 222
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2022-06-15
222 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-06-15
2nd row2022-06-15
3rd row2022-06-15
4th row2022-06-15
5th row2022-06-15

Common Values

ValueCountFrequency (%)
2022-06-15 222
100.0%

Length

2023-12-13T08:43:56.173739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:43:56.264658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-06-15 222
100.0%

Interactions

2023-12-13T08:43:52.895909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:43:56.325364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로명버스모델설치연도읍명동
도로명1.0000.9010.9180.939
버스모델0.9011.0000.8180.521
설치연도0.9180.8181.0000.799
읍명동0.9390.5210.7991.000
2023-12-13T08:43:56.424008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍명동버스모델
읍명동1.0000.267
버스모델0.2671.000
2023-12-13T08:43:56.539593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치연도버스모델읍명동
설치연도1.0000.4650.375
버스모델0.4651.0000.267
읍명동0.3750.2671.000

Missing values

2023-12-13T08:43:52.992881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:43:53.087355image/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

정류소명정류소 번호도로명버스모델설치연도읍명동관리기관명데이터기준일자
0동창마을/한진,금호아파트22-091동구릉로-WLCD 32"-일체형2010동구동경기도 구리시2022-06-15
1구리문화원22-080동구릉로-WLCD 32"-일체형2010동구동경기도 구리시2022-06-15
2동구릉22-072동구릉로-WLCD 32"-독립형2010동구동경기도 구리시2022-06-15
3건영/성원아파트22-073동구릉로-WLCD 32"-일체형2010동구동경기도 구리시2022-06-15
4최촌마을22-067동구릉로-WLCD 32"-독립형2010동구동경기도 구리시2022-06-15
5배탈고개/일신건영아파트22-062동구릉로-WLCD 32"-일체형2010인창동경기도 구리시2022-06-15
6인창동주민센터/문화센터22-055동구릉로-WLCD 32"-일체형2010인창동경기도 구리시2022-06-15
7교문사거리/인창초교22-049동구릉로-WLCD 32"-일체형2010인창동경기도 구리시2022-06-15
8교문사거리(서울)22-035아차산로-WLED-거치형(3단12열)2008교문1동경기도 구리시2022-06-15
9남양주세무서입구/금호아파트22-039아차산로-WLCD 32"-일체형2010교문1동경기도 구리시2022-06-15
정류소명정류소 번호도로명버스모델설치연도읍명동관리기관명데이터기준일자
212샘말.성신양회22-114동구릉로 - NLED-거치형(3단12열)2021동구동경기도 구리시2022-06-15
213사노리나들목22-104동구릉로 - SLED-거치형(3단12열)2021동구동경기도 구리시2022-06-15
214사노리나들목22-105동구릉로 - NLED-거치형(3단12열)2021동구동경기도 구리시2022-06-15
215챔피언스파크.동사골22-014아차산로 - SLED-거치형(3단12열)2021교문1동경기도 구리시2022-06-15
216아름마을.LG성원아파트뒤22-011인창1로 - NLED-거치형(3단12열)2021인창동경기도 구리시2022-06-15
217동원아파트입구22-226동구릉로85번길 - SLED-독립형(3단6열)2021인창동경기도 구리시2022-06-15
218인창지구대앞22-193장미1길 - SLED-독립형(3단6열)2021인창동경기도 구리시2022-06-15
219담터농협22-006담터길 - ELED-독립형(3단6열)2021갈매동경기도 구리시2022-06-15
220담터술막길22-262담터길 - ELED-독립형(3단6열)2021갈매동경기도 구리시2022-06-15
221토평중고교후문22-036장자대로 - NLED-독립형(3단6열)2021수택3동경기도 구리시2022-06-15