Overview

Dataset statistics

Number of variables8
Number of observations495
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.5 KiB
Average record size in memory67.3 B

Variable types

Numeric3
Categorical2
Text1
Boolean1
DateTime1

Dataset

Description관내 버스정보시스템 현황에 관련한 데이터로서 버스정류장, 버스정류장 외국어 음성안내 정보시스템 설치여부 등의 내용을 포함하고 있습니다.
URLhttps://www.data.go.kr/data/3077039/fileData.do

Alerts

관리기관 has constant value ""Constant
버스정류장 외국어 음성안내 정보시스템 설치여부 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:55:39.143053
Analysis finished2023-12-12 21:55:40.633036
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

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
2023-12-13T06:55:40.711085image/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
2023-12-13T06:55:40.890866image/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%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
경기도 양주시
495 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 양주시 495
100.0%

Length

2023-12-13T06:55:41.047602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:55:41.139643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 495
50.0%
양주시 495
50.0%
Distinct309
Distinct (%)62.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-13T06:55:41.384567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.3414141
Min length2

Characters and Unicode

Total characters3634
Distinct characters312
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

Unique136 ?
Unique (%)27.5%

Sample

1st rowe편한세상11단지.옥정중심상가
2nd rowe편한세상11단지.푸르지오9단지
3rd rowe편한세상15단지
4th rowe편한세상15단지
5th rowe편한세상15단지정문
ValueCountFrequency (%)
세창아파트 5
 
1.0%
가납사거리 4
 
0.8%
덕정사거리 4
 
0.8%
푸르지오아파트 4
 
0.8%
유승한내들9단지.한양수자인2단지 3
 
0.6%
삼숭교차로 3
 
0.6%
덕정주공7단지 3
 
0.6%
옥정중앙공원 3
 
0.6%
양주변전소 2
 
0.4%
세영리첼14단지 2
 
0.4%
Other values (299) 462
93.3%
2023-12-13T06:55:41.850445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
149
 
4.1%
. 132
 
3.6%
107
 
2.9%
92
 
2.5%
87
 
2.4%
83
 
2.3%
78
 
2.1%
76
 
2.1%
74
 
2.0%
71
 
2.0%
Other values (302) 2685
73.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3262
89.8%
Decimal Number 190
 
5.2%
Other Punctuation 132
 
3.6%
Uppercase Letter 30
 
0.8%
Lowercase Letter 18
 
0.5%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
149
 
4.6%
107
 
3.3%
92
 
2.8%
87
 
2.7%
83
 
2.5%
78
 
2.4%
76
 
2.3%
74
 
2.3%
71
 
2.2%
68
 
2.1%
Other values (281) 2377
72.9%
Decimal Number
ValueCountFrequency (%)
1 68
35.8%
2 37
19.5%
3 20
 
10.5%
4 13
 
6.8%
5 13
 
6.8%
9 12
 
6.3%
8 10
 
5.3%
6 9
 
4.7%
7 8
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
S 11
36.7%
G 5
16.7%
B 4
 
13.3%
T 4
 
13.3%
K 2
 
6.7%
M 2
 
6.7%
C 2
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
e 16
88.9%
s 2
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 132
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3262
89.8%
Common 324
 
8.9%
Latin 48
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
149
 
4.6%
107
 
3.3%
92
 
2.8%
87
 
2.7%
83
 
2.5%
78
 
2.4%
76
 
2.3%
74
 
2.3%
71
 
2.2%
68
 
2.1%
Other values (281) 2377
72.9%
Common
ValueCountFrequency (%)
. 132
40.7%
1 68
21.0%
2 37
 
11.4%
3 20
 
6.2%
4 13
 
4.0%
5 13
 
4.0%
9 12
 
3.7%
8 10
 
3.1%
6 9
 
2.8%
7 8
 
2.5%
Other values (2) 2
 
0.6%
Latin
ValueCountFrequency (%)
e 16
33.3%
S 11
22.9%
G 5
 
10.4%
B 4
 
8.3%
T 4
 
8.3%
s 2
 
4.2%
K 2
 
4.2%
M 2
 
4.2%
C 2
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3262
89.8%
ASCII 372
 
10.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
149
 
4.6%
107
 
3.3%
92
 
2.8%
87
 
2.7%
83
 
2.5%
78
 
2.4%
76
 
2.3%
74
 
2.3%
71
 
2.2%
68
 
2.1%
Other values (281) 2377
72.9%
ASCII
ValueCountFrequency (%)
. 132
35.5%
1 68
18.3%
2 37
 
9.9%
3 20
 
5.4%
e 16
 
4.3%
4 13
 
3.5%
5 13
 
3.5%
9 12
 
3.2%
S 11
 
3.0%
8 10
 
2.7%
Other values (11) 40
 
10.8%

경도
Real number (ℝ)

Distinct494
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.03954
Minimum126.91634
Maximum127.97795
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T06:55:42.013884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.91634
5-th percentile126.94023
Q1126.9876
median127.0471
Q3127.08164
95-th percentile127.10064
Maximum127.97795
Range1.0616143
Interquartile range (IQR)0.09404375

Descriptive statistics

Standard deviation0.089584616
Coefficient of variation (CV)0.00070517114
Kurtosis71.024832
Mean127.03954
Median Absolute Deviation (MAD)0.0424731
Skewness6.855559
Sum62884.571
Variance0.0080254034
MonotonicityNot monotonic
2023-12-13T06:55:42.155325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.091469 2
 
0.4%
126.9312772 1
 
0.2%
126.9301134 1
 
0.2%
126.9298638 1
 
0.2%
126.9270659 1
 
0.2%
126.9328132 1
 
0.2%
126.9329835 1
 
0.2%
126.937513 1
 
0.2%
126.9374717 1
 
0.2%
126.9404261 1
 
0.2%
Other values (484) 484
97.8%
ValueCountFrequency (%)
126.9163377 1
0.2%
126.918642 1
0.2%
126.9192839 1
0.2%
126.920879 1
0.2%
126.922779 1
0.2%
126.9228181 1
0.2%
126.922881 1
0.2%
126.9232489 1
0.2%
126.9257209 1
0.2%
126.9270449 1
0.2%
ValueCountFrequency (%)
127.977952 1
0.2%
127.977018 1
0.2%
127.976878 1
0.2%
127.1080914 1
0.2%
127.105728 1
0.2%
127.1055141 1
0.2%
127.105481 1
0.2%
127.1041569 1
0.2%
127.104116 1
0.2%
127.1039544 1
0.2%

위도
Real number (ℝ)

Distinct494
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.811999
Minimum37.673478
Maximum37.910878
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T06:55:42.318013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.673478
5-th percentile37.714074
Q137.792884
median37.817532
Q337.835366
95-th percentile37.888078
Maximum37.910878
Range0.2374
Interquartile range (IQR)0.04248205

Descriptive statistics

Standard deviation0.045065864
Coefficient of variation (CV)0.0011918403
Kurtosis1.2200809
Mean37.811999
Median Absolute Deviation (MAD)0.02088039
Skewness-0.73457284
Sum18716.939
Variance0.0020309321
MonotonicityNot monotonic
2023-12-13T06:55:42.452448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.816548 2
 
0.4%
37.806314 1
 
0.2%
37.69595265 1
 
0.2%
37.6960516 1
 
0.2%
37.69337399 1
 
0.2%
37.70687398 1
 
0.2%
37.70670289 1
 
0.2%
37.71434563 1
 
0.2%
37.71472488 1
 
0.2%
37.71630227 1
 
0.2%
Other values (484) 484
97.8%
ValueCountFrequency (%)
37.673478 1
0.2%
37.677436 1
0.2%
37.6787668 1
0.2%
37.67897157 1
0.2%
37.67950274 1
0.2%
37.6839551 1
0.2%
37.683978 1
0.2%
37.68853046 1
0.2%
37.69305857 1
0.2%
37.69337399 1
0.2%
ValueCountFrequency (%)
37.910878 1
0.2%
37.910836 1
0.2%
37.91042532 1
0.2%
37.91027532 1
0.2%
37.90998635 1
0.2%
37.907815 1
0.2%
37.905523 1
0.2%
37.90376345 1
0.2%
37.90364 1
0.2%
37.901306 1
0.2%
Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size627.0 B
False
495 
ValueCountFrequency (%)
False 495
100.0%
2023-12-13T06:55:42.552313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
양주시 대중교통과
495 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row양주시 대중교통과
2nd row양주시 대중교통과
3rd row양주시 대중교통과
4th row양주시 대중교통과
5th row양주시 대중교통과

Common Values

ValueCountFrequency (%)
양주시 대중교통과 495
100.0%

Length

2023-12-13T06:55:42.648681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:55:42.732995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양주시 495
50.0%
대중교통과 495
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2023-08-23 00:00:00
Maximum2023-08-23 00:00:00
2023-12-13T06:55:42.801654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:42.898206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T06:55:40.078448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:39.472623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:39.810024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:40.177378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:39.576487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:39.898965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:40.283974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:39.689490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:55:39.980740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:55:42.970695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호경도위도
번호1.0000.3830.490
경도0.3831.0000.519
위도0.4900.5191.000
2023-12-13T06:55:43.059134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호경도위도
번호1.000-0.2150.016
경도-0.2151.0000.108
위도0.0160.1081.000

Missing values

2023-12-13T06:55:40.422749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:55:40.573868image/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

번호관리기관버스정류장명경도위도버스정류장 외국어 음성안내 정보시스템 설치여부관리기관명데이터기준일자
01경기도 양주시e편한세상11단지.옥정중심상가127.09186937.820082N양주시 대중교통과2023-08-23
12경기도 양주시e편한세상11단지.푸르지오9단지127.09146937.821339N양주시 대중교통과2023-08-23
23경기도 양주시e편한세상15단지127.08573337.817549N양주시 대중교통과2023-08-23
34경기도 양주시e편한세상15단지127.08444537.817071N양주시 대중교통과2023-08-23
45경기도 양주시e편한세상15단지정문127.08313737.812691N양주시 대중교통과2023-08-23
56경기도 양주시e편한세상15단지정문127.08311637.814065N양주시 대중교통과2023-08-23
67경기도 양주시e편한세상15단지후문127.08312137.816454N양주시 대중교통과2023-08-23
78경기도 양주시e편한세상15단지후문127.08348637.817785N양주시 대중교통과2023-08-23
89경기도 양주시e편한세상18단지127.09271437.81802N양주시 대중교통과2023-08-23
910경기도 양주시e편한세상18단지127.09340937.818242N양주시 대중교통과2023-08-23
번호관리기관버스정류장명경도위도버스정류장 외국어 음성안내 정보시스템 설치여부관리기관명데이터기준일자
485486경기도 양주시가래비시장126.98434337.82392N양주시 대중교통과2023-08-23
486487경기도 양주시광적119안전센터126.98215637.823558N양주시 대중교통과2023-08-23
487488경기도 양주시가납사거리126.98475737.819751N양주시 대중교통과2023-08-23
488489경기도 양주시광적119안전센터126.98208137.823425N양주시 대중교통과2023-08-23
489490경기도 양주시승마장입구127.04765537.793409N양주시 대중교통과2023-08-23
490491경기도 양주시유승한내들9단지.한양수자인2단지127.08203137.795485N양주시 대중교통과2023-08-23
491492경기도 양주시부곡2리.청담에비뉴126.97640537.723651N양주시 대중교통과2023-08-23
492493경기도 양주시제일풍경채127.0917837.810874N양주시 대중교통과2023-08-23
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