Overview

Dataset statistics

Number of variables4
Number of observations1147
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.1 KiB
Average record size in memory33.1 B

Variable types

Numeric1
Text3

Dataset

Description경상남도 창원시 관내 버스정보안내기의 설치현황(정류장명, 주소, ID, 모바일ID) 자료를 올려드리니, 참고하시기 바랍니다.
Author경상남도 창원시
URLhttps://www.data.go.kr/data/15035291/fileData.do

Alerts

ID has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:59:47.058638
Analysis finished2023-12-12 17:59:47.812501
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

ID
Real number (ℝ)

UNIQUE 

Distinct1147
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1952.3967
Minimum1001
Maximum9996
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-13T02:59:47.936752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1001
5-th percentile1058.3
Q11287.5
median2065
Q32351.5
95-th percentile3144.7
Maximum9996
Range8995
Interquartile range (IQR)1064

Descriptive statistics

Standard deviation739.66542
Coefficient of variation (CV)0.37884997
Kurtosis10.764972
Mean1952.3967
Median Absolute Deviation (MAD)693
Skewness1.3945609
Sum2239399
Variance547104.93
MonotonicityStrictly increasing
2023-12-13T02:59:48.116005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1001 1
 
0.1%
2255 1
 
0.1%
2261 1
 
0.1%
2260 1
 
0.1%
2259 1
 
0.1%
2258 1
 
0.1%
2257 1
 
0.1%
2256 1
 
0.1%
2254 1
 
0.1%
2263 1
 
0.1%
Other values (1137) 1137
99.1%
ValueCountFrequency (%)
1001 1
0.1%
1002 1
0.1%
1003 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%
ValueCountFrequency (%)
9996 1
0.1%
3202 1
0.1%
3201 1
0.1%
3200 1
0.1%
3199 1
0.1%
3198 1
0.1%
3197 1
0.1%
3196 1
0.1%
3195 1
0.1%
3194 1
0.1%

모바일ID
Text

Distinct1139
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2023-12-13T02:59:48.531405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length6
Mean length6.016565
Min length1

Characters and Unicode

Total characters6901
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1131 ?
Unique (%)98.6%

Sample

1st row115302
2nd row114202
3rd row114201
4th row115316
5th row114210
ValueCountFrequency (%)
630020 3
 
0.3%
120505 2
 
0.2%
118815 2
 
0.2%
115316 2
 
0.2%
400112 2
 
0.2%
630021 2
 
0.2%
118816 2
 
0.2%
400111 2
 
0.2%
114225 2
 
0.2%
218824 2
 
0.2%
Other values (1126) 1129
98.2%
2023-12-13T02:59:49.117509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1652
23.9%
0 1505
21.8%
2 863
12.5%
3 635
 
9.2%
4 506
 
7.3%
5 434
 
6.3%
6 376
 
5.4%
8 362
 
5.2%
9 315
 
4.6%
7 246
 
3.6%
Other values (3) 7
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6894
99.9%
Other Punctuation 3
 
< 0.1%
Space Separator 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1652
24.0%
0 1505
21.8%
2 863
12.5%
3 635
 
9.2%
4 506
 
7.3%
5 434
 
6.3%
6 376
 
5.5%
8 362
 
5.3%
9 315
 
4.6%
7 246
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6901
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1652
23.9%
0 1505
21.8%
2 863
12.5%
3 635
 
9.2%
4 506
 
7.3%
5 434
 
6.3%
6 376
 
5.4%
8 362
 
5.2%
9 315
 
4.6%
7 246
 
3.6%
Other values (3) 7
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6901
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1652
23.9%
0 1505
21.8%
2 863
12.5%
3 635
 
9.2%
4 506
 
7.3%
5 434
 
6.3%
6 376
 
5.4%
8 362
 
5.2%
9 315
 
4.6%
7 246
 
3.6%
Other values (3) 7
 
0.1%

설치정류소명
Text

Distinct1111
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2023-12-13T02:59:49.466226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length8.8195292
Min length2

Characters and Unicode

Total characters10116
Distinct characters418
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

Unique1075 ?
Unique (%)93.7%

Sample

1st row창원역(맞은편)
2nd row도계동.의창스포츠센터
3rd row도계동.의창스포츠센터(창원씨엘여성병원)
4th row도계동만남의광장(매점 내부, 김해방면)
5th row명서다리.명곡교회(맞은편)
ValueCountFrequency (%)
방면 5
 
0.4%
이마트(맞은편 2
 
0.2%
트리비앙아파트.한국폴리텍대학 2
 
0.2%
중앙동주민센터 2
 
0.2%
메트로시티2단지.삼성버킹궁apt 2
 
0.2%
시티프라디움1차.리젠시빌란트 2
 
0.2%
장애인복지회관입구 2
 
0.2%
차룡사거리 2
 
0.2%
마산시외버스터미널(대신서점앞 2
 
0.2%
해인로즈빌 2
 
0.2%
Other values (1107) 1139
98.0%
2023-12-13T02:59:49.990346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 559
 
5.5%
) 559
 
5.5%
은 334
 
3.3%
맞 302
 
3.0%
편 302
 
3.0%
동 273
 
2.7%
원 237
 
2.3%
트 236
 
2.3%
아 235
 
2.3%
파 222
 
2.2%
Other values (408) 6857
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8667
85.7%
Open Punctuation 559
 
5.5%
Close Punctuation 559
 
5.5%
Decimal Number 119
 
1.2%
Uppercase Letter 116
 
1.1%
Other Punctuation 68
 
0.7%
Space Separator 15
 
0.1%
Lowercase Letter 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
은 334
 
3.9%
맞 302
 
3.5%
편 302
 
3.5%
동 273
 
3.1%
원 237
 
2.7%
트 236
 
2.7%
아 235
 
2.7%
파 222
 
2.6%
마 174
 
2.0%
교 157
 
1.8%
Other values (372) 6195
71.5%
Uppercase Letter
ValueCountFrequency (%)
T 22
19.0%
A 21
18.1%
S 15
12.9%
G 11
9.5%
P 11
9.5%
L 9
7.8%
K 7
 
6.0%
X 6
 
5.2%
H 5
 
4.3%
B 3
 
2.6%
Other values (4) 6
 
5.2%
Decimal Number
ValueCountFrequency (%)
1 40
33.6%
2 35
29.4%
3 18
15.1%
7 6
 
5.0%
9 5
 
4.2%
5 5
 
4.2%
4 4
 
3.4%
6 3
 
2.5%
0 3
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
t 4
30.8%
e 3
23.1%
k 2
15.4%
h 2
15.4%
s 1
 
7.7%
g 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 62
91.2%
, 3
 
4.4%
& 2
 
2.9%
/ 1
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 559
100.0%
Close Punctuation
ValueCountFrequency (%)
) 559
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8667
85.7%
Common 1320
 
13.0%
Latin 129
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
은 334
 
3.9%
맞 302
 
3.5%
편 302
 
3.5%
동 273
 
3.1%
원 237
 
2.7%
트 236
 
2.7%
아 235
 
2.7%
파 222
 
2.6%
마 174
 
2.0%
교 157
 
1.8%
Other values (372) 6195
71.5%
Latin
ValueCountFrequency (%)
T 22
17.1%
A 21
16.3%
S 15
11.6%
G 11
8.5%
P 11
8.5%
L 9
7.0%
K 7
 
5.4%
X 6
 
4.7%
H 5
 
3.9%
t 4
 
3.1%
Other values (10) 18
14.0%
Common
ValueCountFrequency (%)
( 559
42.3%
) 559
42.3%
. 62
 
4.7%
1 40
 
3.0%
2 35
 
2.7%
3 18
 
1.4%
15
 
1.1%
7 6
 
0.5%
9 5
 
0.4%
5 5
 
0.4%
Other values (6) 16
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8667
85.7%
ASCII 1449
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 559
38.6%
) 559
38.6%
. 62
 
4.3%
1 40
 
2.8%
2 35
 
2.4%
T 22
 
1.5%
A 21
 
1.4%
3 18
 
1.2%
S 15
 
1.0%
15
 
1.0%
Other values (26) 103
 
7.1%
Hangul
ValueCountFrequency (%)
은 334
 
3.9%
맞 302
 
3.5%
편 302
 
3.5%
동 273
 
3.1%
원 237
 
2.7%
트 236
 
2.7%
아 235
 
2.7%
파 222
 
2.6%
마 174
 
2.0%
교 157
 
1.8%
Other values (372) 6195
71.5%

주소
Text

Distinct1088
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2023-12-13T02:59:50.373791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length14.374891
Min length9

Characters and Unicode

Total characters16488
Distinct characters141
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1031 ?
Unique (%)89.9%

Sample

1st row의창구 동정동 156-3
2nd row의창구 도계동 465-3
3rd row의창구 도계동 333-4
4th row의창구 도계동 305-7
5th row의창구 명서동 131-4
ValueCountFrequency (%)
의창구 265
 
7.2%
성산구 246
 
6.7%
마산합포구 229
 
6.2%
마산회원구 206
 
5.6%
진해구 201
 
5.5%
내서읍 68
 
1.9%
북면 42
 
1.1%
팔용동 41
 
1.1%
동읍 37
 
1.0%
상남동 31
 
0.8%
Other values (1144) 2300
62.7%
2023-12-13T02:59:50.883136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3160
19.2%
구 1180
 
7.2%
동 1047
 
6.4%
1 924
 
5.6%
- 847
 
5.1%
산 793
 
4.8%
2 564
 
3.4%
3 467
 
2.8%
마 442
 
2.7%
4 435
 
2.6%
Other values (131) 6629
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8285
50.2%
Decimal Number 4193
25.4%
Space Separator 3160
 
19.2%
Dash Punctuation 847
 
5.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1180
 
14.2%
동 1047
 
12.6%
산 793
 
9.6%
마 442
 
5.3%
성 318
 
3.8%
창 265
 
3.2%
의 265
 
3.2%
원 261
 
3.2%
진 248
 
3.0%
합 247
 
3.0%
Other values (116) 3219
38.9%
Decimal Number
ValueCountFrequency (%)
1 924
22.0%
2 564
13.5%
3 467
11.1%
4 435
10.4%
5 386
9.2%
6 330
 
7.9%
0 293
 
7.0%
7 292
 
7.0%
9 252
 
6.0%
8 250
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
P 1
33.3%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
3160
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 847
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8285
50.2%
Common 8200
49.7%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1180
 
14.2%
동 1047
 
12.6%
산 793
 
9.6%
마 442
 
5.3%
성 318
 
3.8%
창 265
 
3.2%
의 265
 
3.2%
원 261
 
3.2%
진 248
 
3.0%
합 247
 
3.0%
Other values (116) 3219
38.9%
Common
ValueCountFrequency (%)
3160
38.5%
1 924
 
11.3%
- 847
 
10.3%
2 564
 
6.9%
3 467
 
5.7%
4 435
 
5.3%
5 386
 
4.7%
6 330
 
4.0%
0 293
 
3.6%
7 292
 
3.6%
Other values (2) 502
 
6.1%
Latin
ValueCountFrequency (%)
A 1
33.3%
P 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8285
50.2%
ASCII 8203
49.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3160
38.5%
1 924
 
11.3%
- 847
 
10.3%
2 564
 
6.9%
3 467
 
5.7%
4 435
 
5.3%
5 386
 
4.7%
6 330
 
4.0%
0 293
 
3.6%
7 292
 
3.6%
Other values (5) 505
 
6.2%
Hangul
ValueCountFrequency (%)
구 1180
 
14.2%
동 1047
 
12.6%
산 793
 
9.6%
마 442
 
5.3%
성 318
 
3.8%
창 265
 
3.2%
의 265
 
3.2%
원 261
 
3.2%
진 248
 
3.0%
합 247
 
3.0%
Other values (116) 3219
38.9%

Interactions

2023-12-13T02:59:47.485718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T02:59:47.640811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:59:47.763766image/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

ID모바일ID설치정류소명주소
01001115302창원역(맞은편)의창구 동정동 156-3
11002114202도계동.의창스포츠센터의창구 도계동 465-3
21003114201도계동.의창스포츠센터(창원씨엘여성병원)의창구 도계동 333-4
31004115316도계동만남의광장(매점 내부, 김해방면)의창구 도계동 305-7
41005114210명서다리.명곡교회(맞은편)의창구 명서동 131-4
51006114209명서다리.명곡교회의창구 명서동 82-10
61007119303흥한웰가아파트의창구 서상동 272-10
71008119111지귀상가의창구 봉곡동 61-14
81009119112지귀상가(맞은편)의창구 봉곡동 61-4
91010114227은아아파트성산구 신월동 93
ID모바일ID설치정류소명주소
11373194503215진해변전소진해구 자은동 260
11383195630205동진여중(맞은편)진해구 자은동 657-34
11393196630206동진여중진해구 자은동 657-35
11403197522318장천종점진해구 장천동 175-2
11413198630252어은동(부성자동차운전학원앞)진해구 죽곡동 134-4
11423199511102부영2차아파트진해구 청안동 474
11433200511003코아루아파트(부영1차A앞)진해구 청안동 477
11443201511005안골포초등학교(앞)진해구 청안동 475
11453202518142풍호동사거리진해구 풍호동 810
11469996-버스정보센터 BIT성산구 용호동 1