Overview

Dataset statistics

Number of variables9
Number of observations1466
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory104.6 KiB
Average record size in memory73.1 B

Variable types

Categorical6
Text2
Numeric1

Dataset

Description김해시 관내 시내버스정류소 현황에 대한 데이터로 행정동, 정류소명, 코드번호, 소재지, 관리기관명, 연락처가 포함되어 있습니다.
Author경상남도 김해시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15105200

Alerts

연번 has constant value ""Constant
시군명 has constant value ""Constant
관리부서 has constant value ""Constant
연락처 has constant value ""Constant
데이터기준일자 has constant value ""Constant
코드번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:19:10.272976
Analysis finished2023-12-11 00:19:11.022233
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
경상남도
1466 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 1466
100.0%

Length

2023-12-11T09:19:11.082036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:19:11.212026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 1466
100.0%

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
김해시
1466 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
김해시 1466
100.0%

Length

2023-12-11T09:19:11.326822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:19:11.415175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
김해시 1466
100.0%

행정동
Categorical

Distinct19
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
진영읍
173 
주촌면
128 
한림면
118 
대동면
99 
장유3동
99 
Other values (14)
849 

Length

Max length5
Median length3
Mean length3.3015007
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
진영읍 173
11.8%
주촌면 128
 
8.7%
한림면 118
 
8.0%
대동면 99
 
6.8%
장유3동 99
 
6.8%
북부동 95
 
6.5%
칠산서부동 94
 
6.4%
장유1동 93
 
6.3%
상동면 88
 
6.0%
내외동 87
 
5.9%
Other values (9) 392
26.7%

Length

2023-12-11T09:19:11.518701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
진영읍 173
11.8%
주촌면 128
 
8.7%
한림면 118
 
8.0%
대동면 99
 
6.8%
장유3동 99
 
6.8%
북부동 95
 
6.5%
칠산서부동 94
 
6.4%
장유1동 93
 
6.3%
상동면 88
 
6.0%
내외동 87
 
5.9%
Other values (9) 392
26.7%

정류소명
Text

Distinct759
Distinct (%)51.8%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
2023-12-11T09:19:11.800781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length4.6207367
Min length2

Characters and Unicode

Total characters6774
Distinct characters356
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)8.7%

Sample

1st row가야고
2nd row건영아파트
3rd row건영아파트
4th row김해문화의전당
5th row김해문화의전당
ValueCountFrequency (%)
신안마을 6
 
0.4%
경남은행 5
 
0.3%
부곡 5
 
0.3%
시례 4
 
0.3%
화목2통 4
 
0.3%
입구 4
 
0.3%
일동한신아파트 4
 
0.3%
신안 4
 
0.3%
화목1통 4
 
0.3%
신전 4
 
0.3%
Other values (751) 1432
97.0%
2023-12-11T09:19:12.216064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 200
 
3.0%
동 190
 
2.8%
을 183
 
2.7%
지 145
 
2.1%
교 142
 
2.1%
아 136
 
2.0%
구 123
 
1.8%
학 121
 
1.8%
원 116
 
1.7%
파 108
 
1.6%
Other values (346) 5310
78.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6555
96.8%
Decimal Number 155
 
2.3%
Uppercase Letter 14
 
0.2%
Space Separator 13
 
0.2%
Open Punctuation 12
 
0.2%
Close Punctuation 12
 
0.2%
Lowercase Letter 6
 
0.1%
Dash Punctuation 6
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 200
 
3.1%
동 190
 
2.9%
을 183
 
2.8%
지 145
 
2.2%
교 142
 
2.2%
아 136
 
2.1%
구 123
 
1.9%
학 121
 
1.8%
원 116
 
1.8%
파 108
 
1.6%
Other values (327) 5091
77.7%
Decimal Number
ValueCountFrequency (%)
2 48
31.0%
1 45
29.0%
3 25
16.1%
4 15
 
9.7%
6 10
 
6.5%
8 6
 
3.9%
7 3
 
1.9%
9 3
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
S 4
28.6%
H 4
28.6%
K 2
14.3%
L 2
14.3%
I 2
14.3%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6555
96.8%
Common 199
 
2.9%
Latin 20
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 200
 
3.1%
동 190
 
2.9%
을 183
 
2.8%
지 145
 
2.2%
교 142
 
2.2%
아 136
 
2.1%
구 123
 
1.9%
학 121
 
1.8%
원 116
 
1.8%
파 108
 
1.6%
Other values (327) 5091
77.7%
Common
ValueCountFrequency (%)
2 48
24.1%
1 45
22.6%
3 25
12.6%
4 15
 
7.5%
13
 
6.5%
( 12
 
6.0%
) 12
 
6.0%
6 10
 
5.0%
- 6
 
3.0%
8 6
 
3.0%
Other values (3) 7
 
3.5%
Latin
ValueCountFrequency (%)
e 6
30.0%
S 4
20.0%
H 4
20.0%
K 2
 
10.0%
L 2
 
10.0%
I 2
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6555
96.8%
ASCII 219
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 200
 
3.1%
동 190
 
2.9%
을 183
 
2.8%
지 145
 
2.2%
교 142
 
2.2%
아 136
 
2.1%
구 123
 
1.9%
학 121
 
1.8%
원 116
 
1.8%
파 108
 
1.6%
Other values (327) 5091
77.7%
ASCII
ValueCountFrequency (%)
2 48
21.9%
1 45
20.5%
3 25
11.4%
4 15
 
6.8%
13
 
5.9%
( 12
 
5.5%
) 12
 
5.5%
6 10
 
4.6%
e 6
 
2.7%
- 6
 
2.7%
Other values (9) 27
12.3%

코드번호
Real number (ℝ)

UNIQUE 

Distinct1466
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2191.9454
Minimum1002
Maximum3525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-12-11T09:19:12.379221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1002
5-th percentile1078.25
Q11448.25
median2096.5
Q32958.75
95-th percentile3325.75
Maximum3525
Range2523
Interquartile range (IQR)1510.5

Descriptive statistics

Standard deviation777.82368
Coefficient of variation (CV)0.3548554
Kurtosis-1.4198399
Mean2191.9454
Median Absolute Deviation (MAD)755
Skewness0.049434003
Sum3213392
Variance605009.68
MonotonicityNot monotonic
2023-12-11T09:19:12.506040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1525 1
 
0.1%
1394 1
 
0.1%
3187 1
 
0.1%
1469 1
 
0.1%
1462 1
 
0.1%
1467 1
 
0.1%
1464 1
 
0.1%
1422 1
 
0.1%
1391 1
 
0.1%
1428 1
 
0.1%
Other values (1456) 1456
99.3%
ValueCountFrequency (%)
1002 1
0.1%
1004 1
0.1%
1005 1
0.1%
1006 1
0.1%
1007 1
0.1%
1008 1
0.1%
1009 1
0.1%
1010 1
0.1%
1011 1
0.1%
1012 1
0.1%
ValueCountFrequency (%)
3525 1
0.1%
3521 1
0.1%
3520 1
0.1%
3513 1
0.1%
3512 1
0.1%
3505 1
0.1%
3504 1
0.1%
3416 1
0.1%
3415 1
0.1%
3414 1
0.1%

소재지
Text

Distinct1299
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
2023-12-11T09:19:12.777876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length44
Mean length21.703274
Min length15

Characters and Unicode

Total characters31817
Distinct characters174
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

Unique1176 ?
Unique (%)80.2%

Sample

1st row경상남도 김해시 내동 1146-3번지 인근
2nd row경상남도 김해시 내동 1125-1번지 인근
3rd row경상남도 김해시 내동 1086-12번지 인근
4th row경상남도 김해시 내동 1068번지 인근
5th row경상남도 김해시 내동 1131번지 인근
ValueCountFrequency (%)
경상남도 1466
20.6%
김해시 1466
20.6%
인근 479
 
6.7%
진영읍 187
 
2.6%
주촌면 142
 
2.0%
한림면 125
 
1.8%
진례면 100
 
1.4%
생림면 89
 
1.3%
진영리 58
 
0.8%
맞은편 51
 
0.7%
Other values (1358) 2948
41.5%
2023-12-11T09:19:13.183858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5728
18.0%
상 1496
 
4.7%
시 1484
 
4.7%
도 1473
 
4.6%
김 1467
 
4.6%
해 1467
 
4.6%
경 1466
 
4.6%
남 1466
 
4.6%
1 1300
 
4.1%
- 1095
 
3.4%
Other values (164) 13375
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18853
59.3%
Decimal Number 6058
 
19.0%
Space Separator 5728
 
18.0%
Dash Punctuation 1095
 
3.4%
Open Punctuation 33
 
0.1%
Close Punctuation 33
 
0.1%
Other Punctuation 14
 
< 0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1496
 
7.9%
시 1484
 
7.9%
도 1473
 
7.8%
김 1467
 
7.8%
해 1467
 
7.8%
경 1466
 
7.8%
남 1466
 
7.8%
동 799
 
4.2%
리 777
 
4.1%
지 523
 
2.8%
Other values (144) 6435
34.1%
Decimal Number
ValueCountFrequency (%)
1 1300
21.5%
2 782
12.9%
3 665
11.0%
4 572
9.4%
6 528
8.7%
5 521
8.6%
0 443
 
7.3%
8 430
 
7.1%
7 422
 
7.0%
9 395
 
6.5%
Other Punctuation
ValueCountFrequency (%)
: 7
50.0%
. 6
42.9%
, 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
F 1
33.3%
P 1
33.3%
Space Separator
ValueCountFrequency (%)
5728
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1095
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18853
59.3%
Common 12961
40.7%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1496
 
7.9%
시 1484
 
7.9%
도 1473
 
7.8%
김 1467
 
7.8%
해 1467
 
7.8%
경 1466
 
7.8%
남 1466
 
7.8%
동 799
 
4.2%
리 777
 
4.1%
지 523
 
2.8%
Other values (144) 6435
34.1%
Common
ValueCountFrequency (%)
5728
44.2%
1 1300
 
10.0%
- 1095
 
8.4%
2 782
 
6.0%
3 665
 
5.1%
4 572
 
4.4%
6 528
 
4.1%
5 521
 
4.0%
0 443
 
3.4%
8 430
 
3.3%
Other values (7) 897
 
6.9%
Latin
ValueCountFrequency (%)
R 1
33.3%
F 1
33.3%
P 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18853
59.3%
ASCII 12964
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5728
44.2%
1 1300
 
10.0%
- 1095
 
8.4%
2 782
 
6.0%
3 665
 
5.1%
4 572
 
4.4%
6 528
 
4.1%
5 521
 
4.0%
0 443
 
3.4%
8 430
 
3.3%
Other values (10) 900
 
6.9%
Hangul
ValueCountFrequency (%)
상 1496
 
7.9%
시 1484
 
7.9%
도 1473
 
7.8%
김 1467
 
7.8%
해 1467
 
7.8%
경 1466
 
7.8%
남 1466
 
7.8%
동 799
 
4.2%
리 777
 
4.1%
지 523
 
2.8%
Other values (144) 6435
34.1%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
김해시청 대중교통과
1466 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
김해시청 대중교통과 1466
100.0%

Length

2023-12-11T09:19:13.312062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:19:13.407054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
김해시청 1466
50.0%
대중교통과 1466
50.0%

연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
055-330-2894
1466 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row055-330-2894
2nd row055-330-2894
3rd row055-330-2894
4th row055-330-2894
5th row055-330-2894

Common Values

ValueCountFrequency (%)
055-330-2894 1466
100.0%

Length

2023-12-11T09:19:13.495871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:19:13.604421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
055-330-2894 1466
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
2022-08-25
1466 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-08-25
2nd row2022-08-25
3rd row2022-08-25
4th row2022-08-25
5th row2022-08-25

Common Values

ValueCountFrequency (%)
2022-08-25 1466
100.0%

Length

2023-12-11T09:19:13.716747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:19:13.810236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-25 1466
100.0%

Interactions

2023-12-11T09:19:10.687380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:19:13.866499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동코드번호
행정동1.0000.728
코드번호0.7281.000
2023-12-11T09:19:13.952946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
코드번호행정동
코드번호1.0000.374
행정동0.3741.000

Missing values

2023-12-11T09:19:10.813269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:19:10.960281image/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

연번시군명행정동정류소명코드번호소재지관리부서연락처데이터기준일자
0경상남도김해시내외동가야고1525경상남도 김해시 내동 1146-3번지 인근김해시청 대중교통과055-330-28942022-08-25
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