Overview

Dataset statistics

Number of variables11
Number of observations3248
Missing cells6
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory295.1 KiB
Average record size in memory93.0 B

Variable types

Numeric5
Text4
Categorical2

Dataset

Description대구광역시_시내버스 정류소 위치정보_20210630
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15050946&dataSetDetailId=1505094619d9334b5e6c9_202002261504&provdMethod=FILE

Alerts

시도 has constant value ""Constant
정류소아이디 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 정류소아이디 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 정류소아이디High correlation
구군 is highly overall correlated with 경도High correlation
정류소아이디 is highly skewed (γ1 = -46.51953794)Skewed
정류소아이디 has unique valuesUnique
정류소명 has unique valuesUnique

Reproduction

Analysis started2024-04-20 17:08:37.112149
Analysis finished2024-04-20 17:08:44.179119
Duration7.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

정류소아이디
Real number (ℝ)

HIGH CORRELATION  SKEWED  UNIQUE 

Distinct3248
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0462354 × 109
Minimum1.5700001 × 109
Maximum7.1810748 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.7 KiB
2024-04-21T02:08:44.304325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.5700001 × 109
5-th percentile7.0110043 × 109
Q17.0210132 × 109
median7.0410188 × 109
Q37.0610289 × 109
95-th percentile7.1110646 × 109
Maximum7.1810748 × 109
Range5.6110747 × 109
Interquartile range (IQR)40015750

Descriptive statistics

Standard deviation1.0281887 × 108
Coefficient of variation (CV)0.014592029
Kurtosis2479.9245
Mean7.0462354 × 109
Median Absolute Deviation (MAD)20007850
Skewness-46.519538
Sum2.2886173 × 1013
Variance1.0571721 × 1016
MonotonicityStrictly increasing
2024-04-21T02:08:44.544539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1570000140 1
 
< 0.1%
7061001700 1
 
< 0.1%
7061000700 1
 
< 0.1%
7061000800 1
 
< 0.1%
7061000900 1
 
< 0.1%
7061001000 1
 
< 0.1%
7061001100 1
 
< 0.1%
7061001200 1
 
< 0.1%
7061001300 1
 
< 0.1%
7061001400 1
 
< 0.1%
Other values (3238) 3238
99.7%
ValueCountFrequency (%)
1570000140 1
< 0.1%
7001000100 1
< 0.1%
7001000200 1
< 0.1%
7001000300 1
< 0.1%
7001000400 1
< 0.1%
7001000500 1
< 0.1%
7001000600 1
< 0.1%
7001000700 1
< 0.1%
7001000800 1
< 0.1%
7001000900 1
< 0.1%
ValueCountFrequency (%)
7181074800 1
< 0.1%
7111081301 1
< 0.1%
7111081300 1
< 0.1%
7111081200 1
< 0.1%
7111081100 1
< 0.1%
7111081000 1
< 0.1%
7111080900 1
< 0.1%
7111080800 1
< 0.1%
7111080700 1
< 0.1%
7111080600 1
< 0.1%

모바일아이디
Real number (ℝ)

Distinct3247
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3026.449
Minimum1
Maximum9397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.7 KiB
2024-04-21T02:08:44.793164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile244.3
Q11220.5
median2288
Q34118.5
95-th percentile9158.7
Maximum9397
Range9396
Interquartile range (IQR)2898

Descriptive statistics

Standard deviation2520.5044
Coefficient of variation (CV)0.83282566
Kurtosis0.83780139
Mean3026.449
Median Absolute Deviation (MAD)1411
Skewness1.2494672
Sum9826880
Variance6352942.6
MonotonicityNot monotonic
2024-04-21T02:08:45.036643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5191 1
 
< 0.1%
2007 1
 
< 0.1%
2065 1
 
< 0.1%
670 1
 
< 0.1%
5290 1
 
< 0.1%
5299 1
 
< 0.1%
5077 1
 
< 0.1%
459 1
 
< 0.1%
5291 1
 
< 0.1%
5298 1
 
< 0.1%
Other values (3237) 3237
99.7%
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%
12 1
< 0.1%
13 1
< 0.1%
ValueCountFrequency (%)
9397 1
< 0.1%
9396 1
< 0.1%
9350 1
< 0.1%
9349 1
< 0.1%
9348 1
< 0.1%
9347 1
< 0.1%
9346 1
< 0.1%
9345 1
< 0.1%
9344 1
< 0.1%
9343 1
< 0.1%

정류소명
Text

UNIQUE 

Distinct3248
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size25.5 KiB
2024-04-21T02:08:46.039675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length16
Mean length7.5554187
Min length2

Characters and Unicode

Total characters24540
Distinct characters494
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3248 ?
Unique (%)100.0%

Sample

1st row감문리
2nd row대명시장앞
3rd row대명시장건너
4th row계명대학교대명캠퍼스앞
5th row계명대학교대명캠퍼스건너
ValueCountFrequency (%)
북구 2
 
0.1%
흥사단 2
 
0.1%
칠곡ic 2
 
0.1%
건너 2
 
0.1%
경북대학교 2
 
0.1%
감문리 1
 
< 0.1%
범어4동행정복지센터앞 1
 
< 0.1%
범어역(2번출구 1
 
< 0.1%
범어역(1번출구 1
 
< 0.1%
수성구청앞 1
 
< 0.1%
Other values (3244) 3244
99.5%
2024-04-21T02:08:47.264722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
앞 1109
 
4.5%
건 1095
 
4.5%
너 1064
 
4.3%
구 615
 
2.5%
교 574
 
2.3%
대 566
 
2.3%
리 517
 
2.1%
동 484
 
2.0%
1 450
 
1.8%
2 436
 
1.8%
Other values (484) 17630
71.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22573
92.0%
Decimal Number 1140
 
4.6%
Close Punctuation 301
 
1.2%
Open Punctuation 299
 
1.2%
Uppercase Letter 171
 
0.7%
Other Punctuation 24
 
0.1%
Space Separator 11
 
< 0.1%
Dash Punctuation 11
 
< 0.1%
Lowercase Letter 8
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 1109
 
4.9%
건 1095
 
4.9%
너 1064
 
4.7%
구 615
 
2.7%
교 574
 
2.5%
대 566
 
2.5%
리 517
 
2.3%
동 484
 
2.1%
학 435
 
1.9%
지 411
 
1.8%
Other values (449) 15703
69.6%
Uppercase Letter
ValueCountFrequency (%)
T 26
15.2%
L 22
12.9%
H 20
11.7%
K 19
11.1%
G 12
7.0%
C 12
7.0%
P 10
 
5.8%
S 9
 
5.3%
B 9
 
5.3%
I 9
 
5.3%
Other values (6) 23
13.5%
Decimal Number
ValueCountFrequency (%)
1 450
39.5%
2 436
38.2%
3 103
 
9.0%
4 59
 
5.2%
5 32
 
2.8%
9 18
 
1.6%
6 14
 
1.2%
8 11
 
1.0%
7 9
 
0.8%
0 8
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 17
70.8%
· 5
 
20.8%
/ 2
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 301
100.0%
Open Punctuation
ValueCountFrequency (%)
( 299
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 8
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22575
92.0%
Common 1786
 
7.3%
Latin 179
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 1109
 
4.9%
건 1095
 
4.9%
너 1064
 
4.7%
구 615
 
2.7%
교 574
 
2.5%
대 566
 
2.5%
리 517
 
2.3%
동 484
 
2.1%
학 435
 
1.9%
지 411
 
1.8%
Other values (450) 15705
69.6%
Common
ValueCountFrequency (%)
1 450
25.2%
2 436
24.4%
) 301
16.9%
( 299
16.7%
3 103
 
5.8%
4 59
 
3.3%
5 32
 
1.8%
9 18
 
1.0%
. 17
 
1.0%
6 14
 
0.8%
Other values (7) 57
 
3.2%
Latin
ValueCountFrequency (%)
T 26
14.5%
L 22
12.3%
H 20
11.2%
K 19
10.6%
G 12
 
6.7%
C 12
 
6.7%
P 10
 
5.6%
S 9
 
5.0%
B 9
 
5.0%
I 9
 
5.0%
Other values (7) 31
17.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22573
92.0%
ASCII 1960
 
8.0%
None 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
앞 1109
 
4.9%
건 1095
 
4.9%
너 1064
 
4.7%
구 615
 
2.7%
교 574
 
2.5%
대 566
 
2.5%
리 517
 
2.3%
동 484
 
2.1%
학 435
 
1.9%
지 411
 
1.8%
Other values (449) 15703
69.6%
ASCII
ValueCountFrequency (%)
1 450
23.0%
2 436
22.2%
) 301
15.4%
( 299
15.3%
3 103
 
5.3%
4 59
 
3.0%
5 32
 
1.6%
T 26
 
1.3%
L 22
 
1.1%
H 20
 
1.0%
Other values (23) 212
10.8%
None
ValueCountFrequency (%)
· 5
71.4%
㈜ 2
 
28.6%

영문명
Text

Distinct1828
Distinct (%)56.3%
Missing3
Missing (%)0.1%
Memory size25.5 KiB
2024-04-21T02:08:48.372958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length20.718644
Min length3

Characters and Unicode

Total characters67232
Distinct characters70
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique623 ?
Unique (%)19.2%

Sample

1st rowDaemyeong Market
2nd rowDaemyeong Market
3rd rowKeimyung University Daemyeong Campus
4th rowKeimyung University Daemyeong Campus
5th rowJungbu Fire Station
ValueCountFrequency (%)
school 369
 
4.0%
apts 274
 
3.0%
center 225
 
2.4%
station 209
 
2.3%
elementary 185
 
2.0%
daegu 175
 
1.9%
junction 159
 
1.7%
town 153
 
1.7%
market 126
 
1.4%
high 112
 
1.2%
Other values (1543) 7209
78.4%
2024-04-21T02:08:50.169493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5988
 
8.9%
n 5863
 
8.7%
o 5679
 
8.4%
e 5555
 
8.3%
a 4649
 
6.9%
g 3301
 
4.9%
i 3277
 
4.9%
t 2846
 
4.2%
r 2426
 
3.6%
l 2359
 
3.5%
Other values (60) 25289
37.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 50515
75.1%
Uppercase Letter 8951
 
13.3%
Space Separator 5988
 
8.9%
Dash Punctuation 626
 
0.9%
Decimal Number 589
 
0.9%
Close Punctuation 240
 
0.4%
Open Punctuation 240
 
0.4%
Other Punctuation 83
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 5863
11.6%
o 5679
11.2%
e 5555
11.0%
a 4649
 
9.2%
g 3301
 
6.5%
i 3277
 
6.5%
t 2846
 
5.6%
r 2426
 
4.8%
l 2359
 
4.7%
u 2205
 
4.4%
Other values (16) 12355
24.5%
Uppercase Letter
ValueCountFrequency (%)
S 1443
16.1%
C 896
 
10.0%
D 820
 
9.2%
M 647
 
7.2%
H 575
 
6.4%
A 499
 
5.6%
B 484
 
5.4%
G 443
 
4.9%
P 391
 
4.4%
J 385
 
4.3%
Other values (15) 2368
26.5%
Decimal Number
ValueCountFrequency (%)
1 158
26.8%
2 133
22.6%
4 126
21.4%
3 91
15.4%
5 33
 
5.6%
9 18
 
3.1%
6 11
 
1.9%
8 7
 
1.2%
7 6
 
1.0%
0 6
 
1.0%
Other Punctuation
ValueCountFrequency (%)
' 46
55.4%
. 27
32.5%
& 5
 
6.0%
· 4
 
4.8%
/ 1
 
1.2%
Space Separator
ValueCountFrequency (%)
5988
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 626
100.0%
Close Punctuation
ValueCountFrequency (%)
) 240
100.0%
Open Punctuation
ValueCountFrequency (%)
( 240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 59466
88.4%
Common 7766
 
11.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 5863
 
9.9%
o 5679
 
9.5%
e 5555
 
9.3%
a 4649
 
7.8%
g 3301
 
5.6%
i 3277
 
5.5%
t 2846
 
4.8%
r 2426
 
4.1%
l 2359
 
4.0%
u 2205
 
3.7%
Other values (41) 21306
35.8%
Common
ValueCountFrequency (%)
5988
77.1%
- 626
 
8.1%
) 240
 
3.1%
( 240
 
3.1%
1 158
 
2.0%
2 133
 
1.7%
4 126
 
1.6%
3 91
 
1.2%
' 46
 
0.6%
5 33
 
0.4%
Other values (9) 85
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67228
> 99.9%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5988
 
8.9%
n 5863
 
8.7%
o 5679
 
8.4%
e 5555
 
8.3%
a 4649
 
6.9%
g 3301
 
4.9%
i 3277
 
4.9%
t 2846
 
4.2%
r 2426
 
3.6%
l 2359
 
3.5%
Other values (59) 25285
37.6%
None
ValueCountFrequency (%)
· 4
100.0%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.5 KiB
대구광역시
3248 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 3248
100.0%

Length

2024-04-21T02:08:50.394280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:08:50.554806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 3248
100.0%

구군
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.5 KiB
달성군
678 
북구
575 
동구
558 
달서구
556 
수성구
418 
Other values (3)
463 

Length

Max length3
Median length3
Mean length2.5086207
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row달성군
2nd row남구
3rd row중구
4th row남구
5th row중구

Common Values

ValueCountFrequency (%)
달성군 678
20.9%
북구 575
17.7%
동구 558
17.2%
달서구 556
17.1%
수성구 418
12.9%
서구 185
 
5.7%
남구 160
 
4.9%
중구 118
 
3.6%

Length

2024-04-21T02:08:50.732025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:08:50.943750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
달성군 678
20.9%
북구 575
17.7%
동구 558
17.2%
달서구 556
17.1%
수성구 418
12.9%
서구 185
 
5.7%
남구 160
 
4.9%
중구 118
 
3.6%

동
Text

Distinct143
Distinct (%)4.4%
Missing2
Missing (%)0.1%
Memory size25.5 KiB
2024-04-21T02:08:52.174823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length3.663586
Min length2

Characters and Unicode

Total characters11892
Distinct characters97
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

Unique0 ?
Unique (%)0.0%

Sample

1st row하빈면
2nd row대명3동
3rd row남산4동
4th row대명3동
5th row남산4동
ValueCountFrequency (%)
공산동 140
 
4.3%
안심3.4동 112
 
3.5%
다사읍 104
 
3.2%
가창면 91
 
2.8%
논공읍 83
 
2.6%
하빈면 79
 
2.4%
화원읍 77
 
2.4%
동천동 74
 
2.3%
현풍면 62
 
1.9%
옥포면 61
 
1.9%
Other values (133) 2363
72.8%
2024-04-21T02:08:53.882577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 2678
22.5%
2 565
 
4.8%
산 515
 
4.3%
1 504
 
4.2%
면 412
 
3.5%
3 360
 
3.0%
읍 298
 
2.5%
성 247
 
2.1%
4 227
 
1.9%
공 223
 
1.9%
Other values (87) 5863
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9921
83.4%
Decimal Number 1760
 
14.8%
Other Punctuation 211
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2678
27.0%
산 515
 
5.2%
면 412
 
4.2%
읍 298
 
3.0%
성 247
 
2.5%
공 223
 
2.2%
가 204
 
2.1%
안 203
 
2.0%
심 184
 
1.9%
천 183
 
1.8%
Other values (77) 4774
48.1%
Decimal Number
ValueCountFrequency (%)
2 565
32.1%
1 504
28.6%
3 360
20.5%
4 227
12.9%
6 30
 
1.7%
5 25
 
1.4%
9 25
 
1.4%
7 15
 
0.9%
0 9
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 211
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9921
83.4%
Common 1971
 
16.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2678
27.0%
산 515
 
5.2%
면 412
 
4.2%
읍 298
 
3.0%
성 247
 
2.5%
공 223
 
2.2%
가 204
 
2.1%
안 203
 
2.0%
심 184
 
1.9%
천 183
 
1.8%
Other values (77) 4774
48.1%
Common
ValueCountFrequency (%)
2 565
28.7%
1 504
25.6%
3 360
18.3%
4 227
11.5%
. 211
 
10.7%
6 30
 
1.5%
5 25
 
1.3%
9 25
 
1.3%
7 15
 
0.8%
0 9
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9921
83.4%
ASCII 1971
 
16.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 2678
27.0%
산 515
 
5.2%
면 412
 
4.2%
읍 298
 
3.0%
성 247
 
2.5%
공 223
 
2.2%
가 204
 
2.1%
안 203
 
2.0%
심 184
 
1.9%
천 183
 
1.8%
Other values (77) 4774
48.1%
ASCII
ValueCountFrequency (%)
2 565
28.7%
1 504
25.6%
3 360
18.3%
4 227
11.5%
. 211
 
10.7%
6 30
 
1.5%
5 25
 
1.3%
9 25
 
1.3%
7 15
 
0.8%
0 9
 
0.5%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct3198
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.57283
Minimum128.3581
Maximum128.75908
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.7 KiB
2024-04-21T02:08:54.295881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.3581
5-th percentile128.43777
Q1128.52107
median128.5716
Q3128.6261
95-th percentile128.70818
Maximum128.75908
Range0.4009818
Interquartile range (IQR)0.1050322

Descriptive statistics

Standard deviation0.078864305
Coefficient of variation (CV)0.00061338237
Kurtosis-0.51595309
Mean128.57283
Median Absolute Deviation (MAD)0.0535825
Skewness-0.065787519
Sum417604.54
Variance0.0062195785
MonotonicityNot monotonic
2024-04-21T02:08:54.703515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.4779817 3
 
0.1%
128.4999033 3
 
0.1%
128.49998 3
 
0.1%
128.62556 2
 
0.1%
128.5071517 2
 
0.1%
128.5074317 2
 
0.1%
128.4356383 2
 
0.1%
128.507405 2
 
0.1%
128.5157983 2
 
0.1%
128.515925 2
 
0.1%
Other values (3188) 3225
99.3%
ValueCountFrequency (%)
128.3580983 1
< 0.1%
128.3647367 1
< 0.1%
128.3722133 1
< 0.1%
128.382105 1
< 0.1%
128.392065 1
< 0.1%
128.3925317 1
< 0.1%
128.3938983 1
< 0.1%
128.393925 1
< 0.1%
128.3950433 1
< 0.1%
128.3951 1
< 0.1%
ValueCountFrequency (%)
128.7590801 1
< 0.1%
128.7536401 1
< 0.1%
128.7535856 1
< 0.1%
128.7525233 1
< 0.1%
128.7524879 1
< 0.1%
128.7524566 1
< 0.1%
128.7523802 1
< 0.1%
128.752316 1
< 0.1%
128.7522839 1
< 0.1%
128.7520217 1
< 0.1%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct3224
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.853179
Minimum35.617375
Maximum35.995313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.7 KiB
2024-04-21T02:08:54.969952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.617375
5-th percentile35.698749
Q135.830719
median35.860892
Q335.887399
95-th percentile35.947535
Maximum35.995313
Range0.37793825
Interquartile range (IQR)0.05667958

Descriptive statistics

Standard deviation0.065798379
Coefficient of variation (CV)0.0018352175
Kurtosis1.6923511
Mean35.853179
Median Absolute Deviation (MAD)0.028295175
Skewness-1.0050496
Sum116451.12
Variance0.0043294267
MonotonicityNot monotonic
2024-04-21T02:08:55.240415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.858955 3
 
0.1%
35.87566167 2
 
0.1%
35.862305 2
 
0.1%
35.867115 2
 
0.1%
35.87933167 2
 
0.1%
35.89015167 2
 
0.1%
35.90923333 2
 
0.1%
35.84187167 2
 
0.1%
35.83917 2
 
0.1%
35.86268 2
 
0.1%
Other values (3214) 3227
99.4%
ValueCountFrequency (%)
35.617375 1
< 0.1%
35.61774833 1
< 0.1%
35.618055 1
< 0.1%
35.62304833 1
< 0.1%
35.623665 1
< 0.1%
35.62498167 1
< 0.1%
35.63367167 1
< 0.1%
35.63370167 1
< 0.1%
35.633795 1
< 0.1%
35.63382333 1
< 0.1%
ValueCountFrequency (%)
35.99531325 1
< 0.1%
35.99521 1
< 0.1%
35.99274333 1
< 0.1%
35.99271167 1
< 0.1%
35.99265667 1
< 0.1%
35.992592 1
< 0.1%
35.992535 1
< 0.1%
35.99241 1
< 0.1%
35.991243 1
< 0.1%
35.99035833 1
< 0.1%

경유노선수
Real number (ℝ)

Distinct19
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6456281
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.7 KiB
2024-04-21T02:08:55.499255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile10
Maximum20
Range19
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.0828373
Coefficient of variation (CV)0.84562585
Kurtosis3.6207006
Mean3.6456281
Median Absolute Deviation (MAD)2
Skewness1.7342756
Sum11841
Variance9.503886
MonotonicityNot monotonic
2024-04-21T02:08:55.747878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 959
29.5%
2 603
18.6%
3 439
13.5%
4 300
 
9.2%
5 233
 
7.2%
6 203
 
6.2%
7 178
 
5.5%
8 100
 
3.1%
9 58
 
1.8%
10 46
 
1.4%
Other values (9) 129
 
4.0%
ValueCountFrequency (%)
1 959
29.5%
2 603
18.6%
3 439
13.5%
4 300
 
9.2%
5 233
 
7.2%
6 203
 
6.2%
7 178
 
5.5%
8 100
 
3.1%
9 58
 
1.8%
10 46
 
1.4%
ValueCountFrequency (%)
20 2
 
0.1%
19 1
 
< 0.1%
18 12
 
0.4%
16 8
 
0.2%
15 13
 
0.4%
14 19
0.6%
13 21
0.6%
12 28
0.9%
11 25
0.8%
10 46
1.4%

경유노선
Text

Distinct1188
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Memory size25.5 KiB
2024-04-21T02:08:56.953431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length82
Mean length16.899323
Min length1

Characters and Unicode

Total characters54889
Distinct characters31
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique599 ?
Unique (%)18.4%

Sample

1st row20
2nd row509, 650, 706, 805, 836, 달서4, 순환2-1
3rd row509, 650, 706, 805, 836, 달서4-1, 순환2
4th row509, 650, 706, 805, 836, 달서4, 순환2-1
5th row509, 650, 706, 805, 836, 달서4-1, 순환2
ValueCountFrequency (%)
600 228
 
1.9%
성서2 201
 
1.7%
655 184
 
1.5%
405 174
 
1.5%
524 173
 
1.5%
623 170
 
1.4%
401 157
 
1.3%
653 154
 
1.3%
503 154
 
1.3%
708 149
 
1.3%
Other values (133) 10133
85.3%
2024-04-21T02:08:58.500844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8629
15.7%
, 8593
15.7%
1 4144
 
7.5%
0 4087
 
7.4%
3 3429
 
6.2%
5 3266
 
6.0%
4 2893
 
5.3%
2 2850
 
5.2%
6 2390
 
4.4%
9 1965
 
3.6%
Other values (21) 12643
23.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28002
51.0%
Space Separator 8629
 
15.7%
Other Punctuation 8593
 
15.7%
Other Letter 8546
 
15.6%
Dash Punctuation 1119
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1142
13.4%
성 1129
13.2%
구 1087
12.7%
달 896
10.5%
급 486
 
5.7%
행 486
 
5.7%
동 484
 
5.7%
북 369
 
4.3%
칠 361
 
4.2%
곡 361
 
4.2%
Other values (8) 1745
20.4%
Decimal Number
ValueCountFrequency (%)
1 4144
14.8%
0 4087
14.6%
3 3429
12.2%
5 3266
11.7%
4 2893
10.3%
2 2850
10.2%
6 2390
8.5%
9 1965
7.0%
8 1594
 
5.7%
7 1384
 
4.9%
Space Separator
ValueCountFrequency (%)
8629
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8593
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1119
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46343
84.4%
Hangul 8546
 
15.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1142
13.4%
성 1129
13.2%
구 1087
12.7%
달 896
10.5%
급 486
 
5.7%
행 486
 
5.7%
동 484
 
5.7%
북 369
 
4.3%
칠 361
 
4.2%
곡 361
 
4.2%
Other values (8) 1745
20.4%
Common
ValueCountFrequency (%)
8629
18.6%
, 8593
18.5%
1 4144
8.9%
0 4087
8.8%
3 3429
 
7.4%
5 3266
 
7.0%
4 2893
 
6.2%
2 2850
 
6.1%
6 2390
 
5.2%
9 1965
 
4.2%
Other values (3) 4097
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46343
84.4%
Hangul 8546
 
15.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8629
18.6%
, 8593
18.5%
1 4144
8.9%
0 4087
8.8%
3 3429
 
7.4%
5 3266
 
7.0%
4 2893
 
6.2%
2 2850
 
6.1%
6 2390
 
5.2%
9 1965
 
4.2%
Other values (3) 4097
8.8%
Hangul
ValueCountFrequency (%)
서 1142
13.4%
성 1129
13.2%
구 1087
12.7%
달 896
10.5%
급 486
 
5.7%
행 486
 
5.7%
동 484
 
5.7%
북 369
 
4.3%
칠 361
 
4.2%
곡 361
 
4.2%
Other values (8) 1745
20.4%

Interactions

2024-04-21T02:08:42.692455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:38.435579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:39.786248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:40.835548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:41.792480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:42.860385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:38.692053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:40.058378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:41.044448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:41.966471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:43.016511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:38.951141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:40.226374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:41.226477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:42.127652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:43.204613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:39.235511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:40.428860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:41.416638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:42.322899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:43.389496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:39.507894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:40.637404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:41.609671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:08:42.510998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T02:08:58.701099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정류소아이디모바일아이디구군경도위도경유노선수
정류소아이디1.000NaNNaNNaNNaNNaN
모바일아이디NaN1.0000.4560.3790.3320.272
구군NaN0.4561.0000.7760.7340.295
경도NaN0.3790.7761.0000.7040.397
위도NaN0.3320.7340.7041.0000.309
경유노선수NaN0.2720.2950.3970.3091.000
2024-04-21T02:08:58.918383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정류소아이디모바일아이디경도위도경유노선수구군
정류소아이디1.0000.083-0.517-0.701-0.2550.000
모바일아이디0.0831.000-0.072-0.0470.0550.167
경도-0.517-0.0721.0000.3880.1570.518
위도-0.701-0.0470.3881.0000.0960.466
경유노선수-0.2550.0550.1570.0961.0000.145
구군0.0000.1670.5180.4660.1451.000

Missing values

2024-04-21T02:08:43.626139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T02:08:43.894087image/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.
2024-04-21T02:08:44.084299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

정류소아이디모바일아이디정류소명영문명시도구군동경도위도경유노선수경유노선
01570000140<NA>감문리<NA>대구광역시달성군하빈면128.42400535.890744120
170010001005191대명시장앞Daemyeong Market대구광역시남구대명3동128.5771335.858697509, 650, 706, 805, 836, 달서4, 순환2-1
270010002002164대명시장건너Daemyeong Market대구광역시중구남산4동128.57781535.858647509, 650, 706, 805, 836, 달서4-1, 순환2
370010003002166계명대학교대명캠퍼스앞Keimyung University Daemyeong Campus대구광역시남구대명3동128.58084835.8571127509, 650, 706, 805, 836, 달서4, 순환2-1
470010004002163계명대학교대명캠퍼스건너Keimyung University Daemyeong Campus대구광역시중구남산4동128.58000735.8576757509, 650, 706, 805, 836, 달서4-1, 순환2
570010005002196중부소방서건너Jungbu Fire Station대구광역시중구대신동128.57567235.863124250, 323, 909, 성서2
670010006002198중부소방서앞Jungbu Fire Station대구광역시중구남산4동128.5767635.8630523250, 323-1, 급행6
770010007002195대신센트럴자이Daesin Central Xi대구광역시중구대신동128.57797835.8636955250, 323, 909, 급행6, 성서2
87001000800445청라언덕(신남)역(1번출구)Cheongna Hill(Sinnam) Station대구광역시중구대신동128.58118335.8646924250, 323, 909, 성서2
970010009002199엘디스리젠트호텔건너Eldis Regent Hotel대구광역시중구남산2동128.5867435.8660822405, 609
정류소아이디모바일아이디정류소명영문명시도구군동경도위도경유노선수경유노선
323871110806004227달성우신미가뷰건너Dalseong Migaview대구광역시달성군논공읍128.42727735.7695931623
323971110807004232달성주민건강증진센터Dalseong Community Health Promotion Center대구광역시달성군옥포면128.470935.7892982600, 달성2
324071110808004237육신사입구Yuksinsa Entry대구광역시달성군하빈면128.42026735.903141성서2
324171110809004236묘2리(고려정밀)건너Goreo jeongmil대구광역시달성군하빈면128.42202535.898761성서2
324271110810004235묘2리(전마)건너Myo 2-ri대구광역시달성군하빈면128.4216235.8954221성서2
324371110811004233달서중고등학교앞Dalseo Middle and High School대구광역시달성군하빈면128.42213535.8843381성서2
324471110812004239문양3리(장귀미)Munyang 3-ri대구광역시달성군하빈면128.42365735.8791581성서2
324571110813004243가창초등학교건너2Gachang Elementary School대구광역시달성군가창면128.6479535.7697882405, 가창2
324671110813014244화원유원지Hwawon Resort대구광역시달성군화원읍128.4776335.8097281달서3
324771810748004145연광시니어타운건너Yeongwang Senior Town대구광역시달성군하빈면128.42781335.927761성서2