Overview

Dataset statistics

Number of variables5
Number of observations887
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.4 KiB
Average record size in memory43.1 B

Variable types

Numeric3
Text2

Dataset

Description전라남도 무안군 버스정류장 현황으로 버스정류장명, 정류장 소재지주소, 경도, 위도 등의 항목들을 표시한 데이터입니다.
URLhttps://www.data.go.kr/data/15033908/fileData.do

Alerts

연번 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 위도High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:27:07.001188
Analysis finished2023-12-12 19:27:08.845125
Duration1.84 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct887
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean444
Minimum1
Maximum887
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2023-12-13T04:27:08.926017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile45.3
Q1222.5
median444
Q3665.5
95-th percentile842.7
Maximum887
Range886
Interquartile range (IQR)443

Descriptive statistics

Standard deviation256.19914
Coefficient of variation (CV)0.57702509
Kurtosis-1.2
Mean444
Median Absolute Deviation (MAD)222
Skewness0
Sum393828
Variance65638
MonotonicityStrictly increasing
2023-12-13T04:27:09.092304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
597 1
 
0.1%
586 1
 
0.1%
587 1
 
0.1%
588 1
 
0.1%
589 1
 
0.1%
590 1
 
0.1%
591 1
 
0.1%
592 1
 
0.1%
593 1
 
0.1%
Other values (877) 877
98.9%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
887 1
0.1%
886 1
0.1%
885 1
0.1%
884 1
0.1%
883 1
0.1%
882 1
0.1%
881 1
0.1%
880 1
0.1%
879 1
0.1%
878 1
0.1%

정류장 명
Text

Distinct511
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
2023-12-13T04:27:09.419431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length3.8534386
Min length2

Characters and Unicode

Total characters3418
Distinct characters280
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique196 ?
Unique (%)22.1%

Sample

1st row중등포(전남예술고입구)
2nd row중등포(전남예술고입구)
3rd row남경공업사 앞(삼성물류센터)
4th row남경공업사 앞(삼성물류센터)
5th row동뫼(왕산)
ValueCountFrequency (%)
용동 8
 
0.9%
신기 5
 
0.6%
도산 5
 
0.6%
도대리 5
 
0.6%
신촌 5
 
0.6%
산두 4
 
0.4%
화설당 4
 
0.4%
감돈 4
 
0.4%
석북 4
 
0.4%
복용 4
 
0.4%
Other values (503) 843
94.6%
2023-12-13T04:27:09.979861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 122
 
3.6%
리 120
 
3.5%
산 96
 
2.8%
남 72
 
2.1%
마 68
 
2.0%
교 64
 
1.9%
정 59
 
1.7%
학 58
 
1.7%
용 50
 
1.5%
장 47
 
1.4%
Other values (270) 2662
77.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3242
94.9%
Decimal Number 68
 
2.0%
Close Punctuation 31
 
0.9%
Open Punctuation 31
 
0.9%
Other Punctuation 26
 
0.8%
Other Symbol 7
 
0.2%
Uppercase Letter 6
 
0.2%
Space Separator 4
 
0.1%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 122
 
3.8%
리 120
 
3.7%
산 96
 
3.0%
남 72
 
2.2%
마 68
 
2.1%
교 64
 
2.0%
정 59
 
1.8%
학 58
 
1.8%
용 50
 
1.5%
장 47
 
1.4%
Other values (251) 2486
76.7%
Decimal Number
ValueCountFrequency (%)
2 24
35.3%
1 23
33.8%
3 12
17.6%
4 3
 
4.4%
5 3
 
4.4%
0 2
 
2.9%
6 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 19
73.1%
/ 3
 
11.5%
· 2
 
7.7%
@ 2
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
T 2
33.3%
P 2
33.3%
A 2
33.3%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Other Symbol
ValueCountFrequency (%)
ⓐ 7
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3242
94.9%
Common 170
 
5.0%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 122
 
3.8%
리 120
 
3.7%
산 96
 
3.0%
남 72
 
2.2%
마 68
 
2.1%
교 64
 
2.0%
정 59
 
1.8%
학 58
 
1.8%
용 50
 
1.5%
장 47
 
1.4%
Other values (251) 2486
76.7%
Common
ValueCountFrequency (%)
) 31
18.2%
( 31
18.2%
2 24
14.1%
1 23
13.5%
. 19
11.2%
3 12
 
7.1%
ⓐ 7
 
4.1%
4
 
2.4%
/ 3
 
1.8%
- 3
 
1.8%
Other values (6) 13
7.6%
Latin
ValueCountFrequency (%)
T 2
33.3%
P 2
33.3%
A 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3242
94.9%
ASCII 167
 
4.9%
Enclosed Alphanum 7
 
0.2%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 122
 
3.8%
리 120
 
3.7%
산 96
 
3.0%
남 72
 
2.2%
마 68
 
2.1%
교 64
 
2.0%
정 59
 
1.8%
학 58
 
1.8%
용 50
 
1.5%
장 47
 
1.4%
Other values (251) 2486
76.7%
ASCII
ValueCountFrequency (%)
) 31
18.6%
( 31
18.6%
2 24
14.4%
1 23
13.8%
. 19
11.4%
3 12
 
7.2%
4
 
2.4%
/ 3
 
1.8%
- 3
 
1.8%
4 3
 
1.8%
Other values (7) 14
8.4%
Enclosed Alphanum
ValueCountFrequency (%)
ⓐ 7
100.0%
None
ValueCountFrequency (%)
· 2
100.0%

지번주소
Text

Distinct783
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
2023-12-13T04:27:10.355915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length21.728298
Min length16

Characters and Unicode

Total characters19273
Distinct characters113
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

Unique690 ?
Unique (%)77.8%

Sample

1st row전라남도 무안군 삼향읍 유교리 1087-10
2nd row전라남도 무안군 삼향읍 유교리 1087-10
3rd row전라남도 무안군 삼향읍 왕산리 182
4th row전라남도 무안군 삼향읍 왕산리 181
5th row전라남도 무안군 삼향읍 왕산리 222-5
ValueCountFrequency (%)
무안군 887
19.7%
전라남도 881
19.6%
삼향읍 164
 
3.6%
일로읍 147
 
3.3%
현경면 112
 
2.5%
몽탄면 101
 
2.2%
청계면 97
 
2.2%
해제면 89
 
2.0%
무안읍 78
 
1.7%
남악리 69
 
1.5%
Other values (864) 1872
41.6%
2023-12-13T04:27:10.926744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3610
18.7%
남 1045
 
5.4%
안 967
 
5.0%
무 965
 
5.0%
도 898
 
4.7%
군 887
 
4.6%
전 884
 
4.6%
라 881
 
4.6%
리 881
 
4.6%
1 686
 
3.6%
Other values (103) 7569
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11553
59.9%
Space Separator 3610
 
18.7%
Decimal Number 3484
 
18.1%
Dash Punctuation 626
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 1045
 
9.0%
안 967
 
8.4%
무 965
 
8.4%
도 898
 
7.8%
군 887
 
7.7%
전 884
 
7.7%
라 881
 
7.6%
리 881
 
7.6%
면 498
 
4.3%
읍 389
 
3.4%
Other values (91) 3258
28.2%
Decimal Number
ValueCountFrequency (%)
1 686
19.7%
2 505
14.5%
3 367
10.5%
4 322
9.2%
5 317
9.1%
6 298
8.6%
8 265
 
7.6%
7 258
 
7.4%
0 236
 
6.8%
9 230
 
6.6%
Space Separator
ValueCountFrequency (%)
3610
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 626
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11553
59.9%
Common 7720
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 1045
 
9.0%
안 967
 
8.4%
무 965
 
8.4%
도 898
 
7.8%
군 887
 
7.7%
전 884
 
7.7%
라 881
 
7.6%
리 881
 
7.6%
면 498
 
4.3%
읍 389
 
3.4%
Other values (91) 3258
28.2%
Common
ValueCountFrequency (%)
3610
46.8%
1 686
 
8.9%
- 626
 
8.1%
2 505
 
6.5%
3 367
 
4.8%
4 322
 
4.2%
5 317
 
4.1%
6 298
 
3.9%
8 265
 
3.4%
7 258
 
3.3%
Other values (2) 466
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11553
59.9%
ASCII 7720
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3610
46.8%
1 686
 
8.9%
- 626
 
8.1%
2 505
 
6.5%
3 367
 
4.8%
4 322
 
4.2%
5 317
 
4.1%
6 298
 
3.9%
8 265
 
3.4%
7 258
 
3.3%
Other values (2) 466
 
6.0%
Hangul
ValueCountFrequency (%)
남 1045
 
9.0%
안 967
 
8.4%
무 965
 
8.4%
도 898
 
7.8%
군 887
 
7.7%
전 884
 
7.7%
라 881
 
7.6%
리 881
 
7.6%
면 498
 
4.3%
읍 389
 
3.4%
Other values (91) 3258
28.2%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct884
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.938002
Minimum34.783614
Maximum35.156723
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2023-12-13T04:27:11.124408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.783614
5-th percentile34.807975
Q134.854299
median34.940036
Q335.003804
95-th percentile35.107718
Maximum35.156723
Range0.3731099
Interquartile range (IQR)0.14950529

Descriptive statistics

Standard deviation0.093095273
Coefficient of variation (CV)0.0026645849
Kurtosis-0.90885499
Mean34.938002
Median Absolute Deviation (MAD)0.07461481
Skewness0.27110466
Sum30990.008
Variance0.0086667299
MonotonicityNot monotonic
2023-12-13T04:27:11.323400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.8511412 3
 
0.3%
34.93462293 2
 
0.2%
34.846895 1
 
0.1%
34.9579296 1
 
0.1%
34.9675803 1
 
0.1%
34.9664068 1
 
0.1%
34.9665725 1
 
0.1%
34.96412 1
 
0.1%
34.9641869 1
 
0.1%
34.9626438 1
 
0.1%
Other values (874) 874
98.5%
ValueCountFrequency (%)
34.7836135 1
0.1%
34.7846445 1
0.1%
34.7847547 1
0.1%
34.7890488 1
0.1%
34.7923521 1
0.1%
34.7924749 1
0.1%
34.792561 1
0.1%
34.7944634 1
0.1%
34.7972621 1
0.1%
34.7973608 1
0.1%
ValueCountFrequency (%)
35.1567234 1
0.1%
35.1565605 1
0.1%
35.155792 1
0.1%
35.1477017 1
0.1%
35.1476896 1
0.1%
35.1430919 1
0.1%
35.1430527 1
0.1%
35.1393614 1
0.1%
35.139283 1
0.1%
35.1355476 1
0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct878
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.43355
Minimum126.26115
Maximum126.53767
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2023-12-13T04:27:11.515192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.26115
5-th percentile126.29767
Q1126.39444
median126.45034
Q3126.48543
95-th percentile126.5174
Maximum126.53767
Range0.2765168
Interquartile range (IQR)0.0909914

Descriptive statistics

Standard deviation0.067936165
Coefficient of variation (CV)0.00053732702
Kurtosis-0.37357298
Mean126.43355
Median Absolute Deviation (MAD)0.0423297
Skewness-0.77081006
Sum112146.56
Variance0.0046153225
MonotonicityNot monotonic
2023-12-13T04:27:11.685394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.490784 3
 
0.3%
126.509906 2
 
0.2%
126.471733 2
 
0.2%
126.4347342 2
 
0.2%
126.488923 2
 
0.2%
126.504294 2
 
0.2%
126.483492 2
 
0.2%
126.487079 2
 
0.2%
126.3932745 1
 
0.1%
126.393149 1
 
0.1%
Other values (868) 868
97.9%
ValueCountFrequency (%)
126.2611526 1
0.1%
126.2614721 1
0.1%
126.2616081 1
0.1%
126.2628084 1
0.1%
126.2635373 1
0.1%
126.2648469 1
0.1%
126.2650785 1
0.1%
126.2670824 1
0.1%
126.2689988 1
0.1%
126.2690497 1
0.1%
ValueCountFrequency (%)
126.5376694 1
0.1%
126.5366603 1
0.1%
126.5365851 1
0.1%
126.5316028 1
0.1%
126.5315854 1
0.1%
126.5294752 1
0.1%
126.5294197 1
0.1%
126.5286 1
0.1%
126.5284373 1
0.1%
126.5284306 1
0.1%

Interactions

2023-12-13T04:27:08.217455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:27:07.425881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:27:07.832539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:27:08.341750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:27:07.538110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:27:07.935384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:27:08.519406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:27:07.674483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:27:08.074728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:27:11.805185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.9250.892
위도0.9251.0000.801
경도0.8920.8011.000
2023-12-13T04:27:11.909349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.516-0.206
위도0.5161.000-0.590
경도-0.206-0.5901.000

Missing values

2023-12-13T04:27:08.676399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:27:08.791795image/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

연번정류장 명지번주소위도경도
01중등포(전남예술고입구)전라남도 무안군 삼향읍 유교리 1087-1034.846895126.425628
12중등포(전남예술고입구)전라남도 무안군 삼향읍 유교리 1087-1034.846508126.426498
23남경공업사 앞(삼성물류센터)전라남도 무안군 삼향읍 왕산리 18234.851191126.427531
34남경공업사 앞(삼성물류센터)전라남도 무안군 삼향읍 왕산리 18134.850726126.42708
45동뫼(왕산)전라남도 무안군 삼향읍 왕산리 222-534.85444126.427738
56동뫼(왕산)전라남도 무안군 삼향읍 왕산리 247-334.854692126.42796
67평산전라남도 무안군 삼향읍 왕산리 265-434.856595126.427536
78평산전라남도 무안군 삼향읍 왕산리 263-134.857133126.42745
89덕산전라남도 무안군 삼향읍 왕산리 374-434.866992126.425053
910지산(지산군부대)전라남도 무안군 삼향읍 지산리 876-534.868852126.422827
연번정류장 명지번주소위도경도
877878성암전라남도 무안군 무안읍 성암리 44-134.978043126.504294
878879성암전라남도 무안군 무안읍 성암리 44-134.977908126.504294
879880도덕사전라남도 무안군 무안읍 성암리 135-934.969225126.509906
880881도덕사전라남도 무안군 무안읍 성암리 135-934.969336126.509906
881882무안교통전라남도 무안군 무안읍 성동리 273-134.998545126.487079
882883무안교통전라남도 무안군 무안읍 성동리 273-134.998382126.487079
883884실학실전라남도 무안군 무안읍 성동리 326-135.000408126.488385
884885실학실전라남도 무안군 무안읍 성동리 365-235.000677126.488817
885886승달문예회관전라남도 무안군 무안읍 교촌리 127-2034.990823126.472026
886887양림회관전라남도 무안군 무안읍 매곡리 790-435.010507126.450835