Overview

Dataset statistics

Number of variables10
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory89.4 B

Variable types

Categorical2
Text1
DateTime3
Numeric4

Dataset

Description용인에서 관리하는 대중교통 소외지역 행복택시 연간 운영현황입니다.(행복택시 이용마을, 이용가능시간, 월 평균 이용횟수 , 이용요금(월 평균), 이용자부담금(월 평균), 지원금(월 평균))
Author경기도 용인시
URLhttps://www.data.go.kr/data/15126380/fileData.do

Alerts

기준연도 has constant value ""Constant
이용가능 시작시간 has constant value ""Constant
이용가능 종료시간 has constant value ""Constant
비고 has constant value ""Constant
데이터기준일자 has constant value ""Constant
월 평균 이용횟수 is highly overall correlated with 이용요금(월 평균) and 2 other fieldsHigh correlation
이용요금(월 평균) is highly overall correlated with 월 평균 이용횟수 and 2 other fieldsHigh correlation
이용자부담금(월 평균) is highly overall correlated with 월 평균 이용횟수 and 2 other fieldsHigh correlation
지원금(월 평균) is highly overall correlated with 월 평균 이용횟수 and 2 other fieldsHigh correlation
마을명(출발지) has unique valuesUnique
이용요금(월 평균) has unique valuesUnique
이용자부담금(월 평균) has unique valuesUnique
지원금(월 평균) has unique valuesUnique
월 평균 이용횟수 has 1 (3.4%) zerosZeros

Reproduction

Analysis started2024-03-14 19:36:27.448088
Analysis finished2024-03-14 19:36:32.445461
Duration5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준연도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size360.0 B
2023
29 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 29
100.0%

Length

2024-03-15T04:36:32.651321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:36:33.013320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 29
100.0%

마을명(출발지)
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size360.0 B
2024-03-15T04:36:33.838401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.8965517
Min length7

Characters and Unicode

Total characters229
Distinct characters38
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row백암면 가좌1리
2nd row백암면 가창4리
3rd row백암면 근곡1리
4th row백암면 근곡2리
5th row백암면 근곡3리
ValueCountFrequency (%)
백암면 13
22.4%
원삼면 13
22.4%
이동읍 2
 
3.4%
가창4리 1
 
1.7%
두창1리 1
 
1.7%
덕성3리 1
 
1.7%
좌항4리 1
 
1.7%
사암7리 1
 
1.7%
미평2리 1
 
1.7%
미평1리 1
 
1.7%
Other values (23) 23
39.7%
2024-03-15T04:36:34.831600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
12.7%
리 29
12.7%
면 27
 
11.8%
삼 15
 
6.6%
백 14
 
6.1%
암 14
 
6.1%
원 13
 
5.7%
창 7
 
3.1%
곡 6
 
2.6%
3 6
 
2.6%
Other values (28) 69
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 172
75.1%
Space Separator 29
 
12.7%
Decimal Number 28
 
12.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 29
16.9%
면 27
15.7%
삼 15
8.7%
백 14
 
8.1%
암 14
 
8.1%
원 13
 
7.6%
창 7
 
4.1%
곡 6
 
3.5%
근 5
 
2.9%
두 5
 
2.9%
Other values (20) 37
21.5%
Decimal Number
ValueCountFrequency (%)
3 6
21.4%
2 6
21.4%
4 6
21.4%
1 6
21.4%
7 2
 
7.1%
6 1
 
3.6%
5 1
 
3.6%
Space Separator
ValueCountFrequency (%)
29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 172
75.1%
Common 57
 
24.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 29
16.9%
면 27
15.7%
삼 15
8.7%
백 14
 
8.1%
암 14
 
8.1%
원 13
 
7.6%
창 7
 
4.1%
곡 6
 
3.5%
근 5
 
2.9%
두 5
 
2.9%
Other values (20) 37
21.5%
Common
ValueCountFrequency (%)
29
50.9%
3 6
 
10.5%
2 6
 
10.5%
4 6
 
10.5%
1 6
 
10.5%
7 2
 
3.5%
6 1
 
1.8%
5 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 172
75.1%
ASCII 57
 
24.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
50.9%
3 6
 
10.5%
2 6
 
10.5%
4 6
 
10.5%
1 6
 
10.5%
7 2
 
3.5%
6 1
 
1.8%
5 1
 
1.8%
Hangul
ValueCountFrequency (%)
리 29
16.9%
면 27
15.7%
삼 15
8.7%
백 14
 
8.1%
암 14
 
8.1%
원 13
 
7.6%
창 7
 
4.1%
곡 6
 
3.5%
근 5
 
2.9%
두 5
 
2.9%
Other values (20) 37
21.5%

이용가능 시작시간
Date

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size360.0 B
Minimum2024-03-15 00:00:00
Maximum2024-03-15 00:00:00
2024-03-15T04:36:35.117229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:36:35.386775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

이용가능 종료시간
Date

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size360.0 B
Minimum2024-03-15 23:59:00
Maximum2024-03-15 23:59:00
2024-03-15T04:36:35.787303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:36:36.094743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

월 평균 이용횟수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.413793
Minimum0
Maximum374
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T04:36:36.426170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.4
Q124
median43
Q377
95-th percentile184.4
Maximum374
Range374
Interquartile range (IQR)53

Descriptive statistics

Standard deviation76.442096
Coefficient of variation (CV)1.1867349
Kurtosis9.296834
Mean64.413793
Median Absolute Deviation (MAD)30
Skewness2.7483037
Sum1868
Variance5843.3941
MonotonicityNot monotonic
2024-03-15T04:36:36.821891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
47 2
 
6.9%
37 2
 
6.9%
34 2
 
6.9%
86 1
 
3.4%
6 1
 
3.4%
2 1
 
3.4%
0 1
 
3.4%
5 1
 
3.4%
1 1
 
3.4%
33 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
0 1
3.4%
1 1
3.4%
2 1
3.4%
5 1
3.4%
6 1
3.4%
9 1
3.4%
22 1
3.4%
24 1
3.4%
33 1
3.4%
34 2
6.9%
ValueCountFrequency (%)
374 1
3.4%
202 1
3.4%
158 1
3.4%
145 1
3.4%
92 1
3.4%
86 1
3.4%
80 1
3.4%
77 1
3.4%
73 1
3.4%
57 1
3.4%

이용요금(월 평균)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean837871.38
Minimum3940
Maximum6160690
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T04:36:37.092112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3940
5-th percentile21270
Q1296750
median561150
Q3757450
95-th percentile2250088
Maximum6160690
Range6156750
Interquartile range (IQR)460700

Descriptive statistics

Standard deviation1196831.7
Coefficient of variation (CV)1.4284194
Kurtosis14.270255
Mean837871.38
Median Absolute Deviation (MAD)255850
Skewness3.4688123
Sum24298270
Variance1.4324061 × 1012
MonotonicityNot monotonic
2024-03-15T04:36:37.496789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
851180 1
 
3.4%
2277080 1
 
3.4%
92020 1
 
3.4%
36810 1
 
3.4%
486720 1
 
3.4%
3940 1
 
3.4%
707660 1
 
3.4%
72110 1
 
3.4%
10910 1
 
3.4%
498590 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
3940 1
3.4%
10910 1
3.4%
36810 1
3.4%
72110 1
3.4%
92020 1
3.4%
119140 1
3.4%
174400 1
3.4%
296750 1
3.4%
305300 1
3.4%
308010 1
3.4%
ValueCountFrequency (%)
6160690 1
3.4%
2277080 1
3.4%
2209600 1
3.4%
2198810 1
3.4%
1222900 1
3.4%
851180 1
3.4%
781100 1
3.4%
757450 1
3.4%
746070 1
3.4%
707660 1
3.4%

이용자부담금(월 평균)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74007.931
Minimum330
Maximum376340
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T04:36:37.900062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330
5-th percentile4056
Q124150
median45010
Q380610
95-th percentile219480
Maximum376340
Range376010
Interquartile range (IQR)56460

Descriptive statistics

Standard deviation80232.484
Coefficient of variation (CV)1.0841066
Kurtosis6.7032376
Mean74007.931
Median Absolute Deviation (MAD)33690
Skewness2.3698552
Sum2146230
Variance6.4372514 × 109
MonotonicityNot monotonic
2024-03-15T04:36:38.284515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
78700 1
 
3.4%
220000 1
 
3.4%
17560 1
 
3.4%
15560 1
 
3.4%
36420 1
 
3.4%
330 1
 
3.4%
94170 1
 
3.4%
6840 1
 
3.4%
2200 1
 
3.4%
45010 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
330 1
3.4%
2200 1
3.4%
6840 1
3.4%
8970 1
3.4%
15560 1
3.4%
17560 1
3.4%
23350 1
3.4%
24150 1
3.4%
35690 1
3.4%
36420 1
3.4%
ValueCountFrequency (%)
376340 1
3.4%
220000 1
3.4%
218700 1
3.4%
144500 1
3.4%
102900 1
3.4%
100900 1
3.4%
94170 1
3.4%
80610 1
3.4%
80230 1
3.4%
79830 1
3.4%

지원금(월 평균)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean763857.93
Minimum3600
Maximum5784350
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size389.0 B
2024-03-15T04:36:38.936959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3600
5-th percentile13720
Q1261050
median497750
Q3677210
95-th percentile2061888
Maximum5784350
Range5780750
Interquartile range (IQR)416160

Descriptive statistics

Standard deviation1119972.3
Coefficient of variation (CV)1.466205
Kurtosis14.799664
Mean763857.93
Median Absolute Deviation (MAD)227480
Skewness3.5417423
Sum22151880
Variance1.254338 × 1012
MonotonicityNot monotonic
2024-03-15T04:36:39.365773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
772480 1
 
3.4%
2057070 1
 
3.4%
74450 1
 
3.4%
21250 1
 
3.4%
450300 1
 
3.4%
3600 1
 
3.4%
613490 1
 
3.4%
65270 1
 
3.4%
8700 1
 
3.4%
453570 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
3600 1
3.4%
8700 1
3.4%
21250 1
3.4%
65270 1
3.4%
74450 1
3.4%
110160 1
3.4%
151050 1
3.4%
261050 1
3.4%
270270 1
3.4%
281150 1
3.4%
ValueCountFrequency (%)
5784350 1
3.4%
2065100 1
3.4%
2057070 1
3.4%
1980100 1
3.4%
1121990 1
3.4%
772480 1
3.4%
678190 1
3.4%
677210 1
3.4%
666240 1
3.4%
613490 1
3.4%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size360.0 B
1인당 월 50회 이용 가능
29 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1인당 월 50회 이용 가능
2nd row1인당 월 50회 이용 가능
3rd row1인당 월 50회 이용 가능
4th row1인당 월 50회 이용 가능
5th row1인당 월 50회 이용 가능

Common Values

ValueCountFrequency (%)
1인당 월 50회 이용 가능 29
100.0%

Length

2024-03-15T04:36:39.773348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:36:40.046577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1인당 29
20.0%
월 29
20.0%
50회 29
20.0%
이용 29
20.0%
가능 29
20.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size360.0 B
Minimum2023-12-31 00:00:00
Maximum2023-12-31 00:00:00
2024-03-15T04:36:40.208331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:36:40.449250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T04:36:30.452657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:36:27.741345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:36:28.594819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:36:29.275770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:36:30.796489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:36:27.982188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:36:28.752397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:36:29.513470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:36:31.065890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:36:28.156461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:36:28.940793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:36:29.885922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:36:31.340024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:36:28.435936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:36:29.119649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:36:30.182287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:36:40.574418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
마을명(출발지)월 평균 이용횟수이용요금(월 평균)이용자부담금(월 평균)지원금(월 평균)
마을명(출발지)1.0001.0001.0001.0001.000
월 평균 이용횟수1.0001.0000.9140.9450.914
이용요금(월 평균)1.0000.9141.0000.9911.000
이용자부담금(월 평균)1.0000.9450.9911.0000.991
지원금(월 평균)1.0000.9141.0000.9911.000
2024-03-15T04:36:40.749968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월 평균 이용횟수이용요금(월 평균)이용자부담금(월 평균)지원금(월 평균)
월 평균 이용횟수1.0000.9560.9610.948
이용요금(월 평균)0.9561.0000.9630.997
이용자부담금(월 평균)0.9610.9631.0000.951
지원금(월 평균)0.9480.9970.9511.000

Missing values

2024-03-15T04:36:31.710282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:36:32.229534image/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

기준연도마을명(출발지)이용가능 시작시간이용가능 종료시간월 평균 이용횟수이용요금(월 평균)이용자부담금(월 평균)지원금(월 평균)비고데이터기준일자
02023백암면 가좌1리00:0023:5977851180787007724801인당 월 50회 이용 가능2023-12-31
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