Overview

Dataset statistics

Number of variables6
Number of observations306
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.8 KiB
Average record size in memory49.4 B

Variable types

Text2
Numeric1
Categorical1
DateTime2

Dataset

Description파주시 발열의자 설치현황 데이터로, 월롱역, 금릉역, 운정역 등 설치된 버스정류장명, 버스정류장번호ID, 지역, 설치일자, 도로명 주소 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15043179/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
버스정류장(ID) has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:54:49.512289
Analysis finished2023-12-12 02:54:50.334531
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

버스정류장명
Text

Distinct235
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-12T11:54:50.583737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length6.3464052
Min length3

Characters and Unicode

Total characters1942
Distinct characters252
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)53.9%

Sample

1st row금촌로타리,평생학습관
2nd row장안아파트
3rd row파주역
4th row주공아파트입구
5th row법원리우체국
ValueCountFrequency (%)
산내마을 4
 
1.2%
문산역 4
 
1.2%
동문아파트 3
 
0.9%
야당역 3
 
0.9%
한빛마을 3
 
0.9%
3,6단지 3
 
0.9%
운정행복센터 3
 
0.9%
낚시터 2
 
0.6%
선유3리 2
 
0.6%
한진1차 2
 
0.6%
Other values (248) 318
91.6%
2023-12-12T11:54:51.161931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 85
 
4.4%
리 77
 
4.0%
단 71
 
3.7%
마 68
 
3.5%
을 63
 
3.2%
산 44
 
2.3%
1 41
 
2.1%
41
 
2.1%
파 40
 
2.1%
, 35
 
1.8%
Other values (242) 1377
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1670
86.0%
Decimal Number 161
 
8.3%
Other Punctuation 57
 
2.9%
Space Separator 41
 
2.1%
Lowercase Letter 8
 
0.4%
Uppercase Letter 3
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 85
 
5.1%
리 77
 
4.6%
단 71
 
4.3%
마 68
 
4.1%
을 63
 
3.8%
산 44
 
2.6%
파 40
 
2.4%
교 34
 
2.0%
주 28
 
1.7%
트 27
 
1.6%
Other values (219) 1133
67.8%
Decimal Number
ValueCountFrequency (%)
1 41
25.5%
2 30
18.6%
3 29
18.0%
5 14
 
8.7%
6 12
 
7.5%
4 12
 
7.5%
8 9
 
5.6%
9 6
 
3.7%
7 6
 
3.7%
0 2
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
t 2
25.0%
k 2
25.0%
p 2
25.0%
x 2
25.0%
Other Punctuation
ValueCountFrequency (%)
, 35
61.4%
. 20
35.1%
· 2
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
A 1
33.3%
P 1
33.3%
Space Separator
ValueCountFrequency (%)
41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1670
86.0%
Common 261
 
13.4%
Latin 11
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 85
 
5.1%
리 77
 
4.6%
단 71
 
4.3%
마 68
 
4.1%
을 63
 
3.8%
산 44
 
2.6%
파 40
 
2.4%
교 34
 
2.0%
주 28
 
1.7%
트 27
 
1.6%
Other values (219) 1133
67.8%
Common
ValueCountFrequency (%)
1 41
15.7%
41
15.7%
, 35
13.4%
2 30
11.5%
3 29
11.1%
. 20
7.7%
5 14
 
5.4%
6 12
 
4.6%
4 12
 
4.6%
8 9
 
3.4%
Other values (6) 18
6.9%
Latin
ValueCountFrequency (%)
t 2
18.2%
k 2
18.2%
p 2
18.2%
x 2
18.2%
T 1
9.1%
A 1
9.1%
P 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1670
86.0%
ASCII 270
 
13.9%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 85
 
5.1%
리 77
 
4.6%
단 71
 
4.3%
마 68
 
4.1%
을 63
 
3.8%
산 44
 
2.6%
파 40
 
2.4%
교 34
 
2.0%
주 28
 
1.7%
트 27
 
1.6%
Other values (219) 1133
67.8%
ASCII
ValueCountFrequency (%)
1 41
15.2%
41
15.2%
, 35
13.0%
2 30
11.1%
3 29
10.7%
. 20
7.4%
5 14
 
5.2%
6 12
 
4.4%
4 12
 
4.4%
8 9
 
3.3%
Other values (12) 27
10.0%
None
ValueCountFrequency (%)
· 2
100.0%

버스정류장(ID)
Real number (ℝ)

UNIQUE 

Distinct306
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31567.118
Minimum30041
Maximum50097
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T11:54:51.368108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30041
5-th percentile30181.25
Q130377.25
median30753.5
Q331553.75
95-th percentile31869.75
Maximum50097
Range20056
Interquartile range (IQR)1176.5

Descriptive statistics

Standard deviation3614.9725
Coefficient of variation (CV)0.11451703
Kurtosis22.032416
Mean31567.118
Median Absolute Deviation (MAD)455
Skewness4.821615
Sum9659538
Variance13068026
MonotonicityNot monotonic
2023-12-12T11:54:51.612247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30262 1
 
0.3%
31644 1
 
0.3%
31695 1
 
0.3%
31693 1
 
0.3%
31690 1
 
0.3%
31682 1
 
0.3%
31680 1
 
0.3%
31673 1
 
0.3%
31663 1
 
0.3%
31634 1
 
0.3%
Other values (296) 296
96.7%
ValueCountFrequency (%)
30041 1
0.3%
30061 1
0.3%
30088 1
0.3%
30103 1
0.3%
30104 1
0.3%
30111 1
0.3%
30124 1
0.3%
30132 1
0.3%
30148 1
0.3%
30152 1
0.3%
ValueCountFrequency (%)
50097 1
0.3%
50049 1
0.3%
50046 1
0.3%
50045 1
0.3%
50042 1
0.3%
50041 1
0.3%
50032 1
0.3%
50012 1
0.3%
50011 1
0.3%
50010 1
0.3%

지역
Categorical

Distinct18
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
문산읍
31 
금촌1동
29 
조리읍
26 
운정2동
24 
파주읍
21 
Other values (13)
175 

Length

Max length5
Median length3
Mean length3.4215686
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row금촌1동
2nd row금촌1동
3rd row파주읍
4th row문산읍
5th row법원읍

Common Values

ValueCountFrequency (%)
문산읍 31
 
10.1%
금촌1동 29
 
9.5%
조리읍 26
 
8.5%
운정2동 24
 
7.8%
파주읍 21
 
6.9%
금촌2동 20
 
6.5%
운정1동 19
 
6.2%
운정3동 18
 
5.9%
교하동 17
 
5.6%
법원읍 17
 
5.6%
Other values (8) 84
27.5%

Length

2023-12-12T11:54:51.902602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
문산읍 31
 
10.1%
금촌1동 29
 
9.5%
조리읍 26
 
8.5%
운정2동 24
 
7.8%
파주읍 21
 
6.9%
금촌2동 20
 
6.5%
운정1동 19
 
6.2%
운정3동 18
 
5.9%
법원읍 17
 
5.6%
교하동 17
 
5.6%
Other values (8) 84
27.5%

설치일자
Date

Distinct10
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2018-12-15 00:00:00
Maximum2023-02-01 00:00:00
2023-12-12T11:54:52.086905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:54:52.254852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

도로명주소
Text

Distinct239
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-12T11:54:52.758310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length16.228758
Min length11

Characters and Unicode

Total characters4966
Distinct characters141
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

Unique213 ?
Unique (%)69.6%

Sample

1st row경기도 파주시 시청로 2
2nd row경기도 파주시 금촌1동 768-17
3rd row경기도 파주시 파주읍 봉암리 산 108-2
4th row경기도 파주시 사임당로 111
5th row경기도 파주시 사임당로 845
ValueCountFrequency (%)
파주시 322
25.9%
경기도 306
24.6%
문산읍 29
 
2.3%
금촌동 22
 
1.8%
목동동 16
 
1.3%
파주읍 15
 
1.2%
조리읍 13
 
1.0%
동패동 13
 
1.0%
법원읍 12
 
1.0%
광탄면 11
 
0.9%
Other values (284) 483
38.9%
2023-12-12T11:54:53.342187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
937
18.9%
파 352
 
7.1%
주 338
 
6.8%
시 324
 
6.5%
기 311
 
6.3%
도 307
 
6.2%
경 306
 
6.2%
동 175
 
3.5%
1 159
 
3.2%
리 123
 
2.5%
Other values (131) 1634
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3162
63.7%
Space Separator 937
 
18.9%
Decimal Number 770
 
15.5%
Dash Punctuation 97
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 352
11.1%
주 338
10.7%
시 324
10.2%
기 311
 
9.8%
도 307
 
9.7%
경 306
 
9.7%
동 175
 
5.5%
리 123
 
3.9%
읍 70
 
2.2%
로 64
 
2.0%
Other values (119) 792
25.0%
Decimal Number
ValueCountFrequency (%)
1 159
20.6%
2 97
12.6%
4 78
10.1%
9 78
10.1%
3 76
9.9%
5 72
9.4%
7 66
8.6%
6 52
 
6.8%
0 49
 
6.4%
8 43
 
5.6%
Space Separator
ValueCountFrequency (%)
937
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3162
63.7%
Common 1804
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 352
11.1%
주 338
10.7%
시 324
10.2%
기 311
 
9.8%
도 307
 
9.7%
경 306
 
9.7%
동 175
 
5.5%
리 123
 
3.9%
읍 70
 
2.2%
로 64
 
2.0%
Other values (119) 792
25.0%
Common
ValueCountFrequency (%)
937
51.9%
1 159
 
8.8%
2 97
 
5.4%
- 97
 
5.4%
4 78
 
4.3%
9 78
 
4.3%
3 76
 
4.2%
5 72
 
4.0%
7 66
 
3.7%
6 52
 
2.9%
Other values (2) 92
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3162
63.7%
ASCII 1804
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
937
51.9%
1 159
 
8.8%
2 97
 
5.4%
- 97
 
5.4%
4 78
 
4.3%
9 78
 
4.3%
3 76
 
4.2%
5 72
 
4.0%
7 66
 
3.7%
6 52
 
2.9%
Other values (2) 92
 
5.1%
Hangul
ValueCountFrequency (%)
파 352
11.1%
주 338
10.7%
시 324
10.2%
기 311
 
9.8%
도 307
 
9.7%
경 306
 
9.7%
동 175
 
5.5%
리 123
 
3.9%
읍 70
 
2.2%
로 64
 
2.0%
Other values (119) 792
25.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2023-05-12 00:00:00
Maximum2023-05-12 00:00:00
2023-12-12T11:54:53.491475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:54:53.610808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T11:54:49.905978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:54:53.715496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
버스정류장(ID)지역설치일자
버스정류장(ID)1.0000.2500.210
지역0.2501.0000.561
설치일자0.2100.5611.000
2023-12-12T11:54:53.851730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
버스정류장(ID)지역
버스정류장(ID)1.0000.191
지역0.1911.000

Missing values

2023-12-12T11:54:50.096213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:54:50.266296image/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

버스정류장명버스정류장(ID)지역설치일자도로명주소데이터기준일자
0금촌로타리,평생학습관30262금촌1동2018-12-15경기도 파주시 시청로 22023-05-12
1장안아파트30294금촌1동2018-12-15경기도 파주시 금촌1동 768-172023-05-12
2파주역30378파주읍2018-12-15경기도 파주시 파주읍 봉암리 산 108-22023-05-12
3주공아파트입구30413문산읍2018-12-15경기도 파주시 사임당로 1112023-05-12
4법원리우체국30587법원읍2018-12-15경기도 파주시 사임당로 8452023-05-12
5적성터미널30750적성면2018-12-15경기도 파주시 적성면 마지리 63-62023-05-12
6월롱역31173월롱면2018-12-15경기도 파주시 통일로 9822023-05-12
7금릉역31681금촌2동2018-12-15경기도 파주시 금릉역로 732023-05-12
8힐스테이트1차.홈플러스31716문산읍2018-12-15경기도 파주시 문산읍 당동리 9342023-05-12
9금촌통일시장50011금촌1동2018-12-15경기도 파주시 금촌동 44-252023-05-12
버스정류장명버스정류장(ID)지역설치일자도로명주소데이터기준일자
296율곡수목원31195파평면2023-02-01경기도 파주시 율곡리 107-292023-05-12
297삼광중고등학교31313적성면2023-02-01경기도 파주시 식현리 271-12023-05-12
298한울마을3.5단지31545운정3동2023-02-01경기도 파주시 동패동 17642023-05-12
299산내마을1.6단지31593운정2동2023-02-01경기도 파주시 목동동 9142023-05-12
300산내마을1.6단지31610운정2동2023-02-01경기도 파주시 목동동 9142023-05-12
301해솔마을2.5단지31667운정2동2023-02-01경기도 파주시 목동동6782023-05-12
302가람마을4단지31704운정1동2023-02-01경기도 파주시 와동동 15542023-05-12
303교하차고지31891교하동2023-02-01경기도 파주시 교하동 539-62023-05-12
304산내마을3단지50041운정2동2023-02-01경기도 파주시 목동동 9142023-05-12
305산내마을3단지50042운정2동2023-02-01경기도 파주시 목동동 9142023-05-12