Overview

Dataset statistics

Number of variables8
Number of observations671
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.0 KiB
Average record size in memory67.2 B

Variable types

Numeric2
Categorical4
Text2

Dataset

Description춘천시 및 춘천도시공사 각 부서에서 관리중인 벤치에 대한 위도, 경도, 구분, 명칭, 주소, 설치개수, 담당부서 및 기준일자에 대한 자료
Author강원특별자치도 춘천시
URLhttps://www.data.go.kr/data/15099953/fileData.do

Alerts

구분 has constant value ""Constant
담당부서 has constant value ""Constant
기준일자 has constant value ""Constant
개수 is highly imbalanced (88.5%)Imbalance

Reproduction

Analysis started2024-04-29 22:57:11.228168
Analysis finished2024-04-29 22:57:13.656960
Duration2.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위도
Real number (ℝ)

Distinct660
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.872888
Minimum37.67885
Maximum38.05404
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-30T07:57:13.734418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.67885
5-th percentile37.748325
Q137.85057
median37.87282
Q337.903725
95-th percentile37.985745
Maximum38.05404
Range0.37519
Interquartile range (IQR)0.053155

Descriptive statistics

Standard deviation0.063698897
Coefficient of variation (CV)0.0016819128
Kurtosis0.86290852
Mean37.872888
Median Absolute Deviation (MAD)0.02559
Skewness0.024445317
Sum25412.708
Variance0.0040575495
MonotonicityNot monotonic
2024-04-30T07:57:13.881726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.87624 3
 
0.4%
37.86672 2
 
0.3%
37.8817 2
 
0.3%
37.85983 2
 
0.3%
37.85578 2
 
0.3%
37.87749 2
 
0.3%
37.87721 2
 
0.3%
37.8691 2
 
0.3%
37.86609 2
 
0.3%
37.86041 2
 
0.3%
Other values (650) 650
96.9%
ValueCountFrequency (%)
37.67885 1
0.1%
37.68338 1
0.1%
37.68636 1
0.1%
37.72263 1
0.1%
37.72604 1
0.1%
37.73001 1
0.1%
37.73123 1
0.1%
37.73167 1
0.1%
37.73177 1
0.1%
37.73274 1
0.1%
ValueCountFrequency (%)
38.05404 1
0.1%
38.05092 1
0.1%
38.05061 1
0.1%
38.05049 1
0.1%
38.04686 1
0.1%
38.0452 1
0.1%
38.04268 1
0.1%
38.04171 1
0.1%
38.03878 1
0.1%
38.03586 1
0.1%

경도
Real number (ℝ)

Distinct654
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.72065
Minimum127.53288
Maximum127.89647
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-30T07:57:14.023627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.53288
5-th percentile127.61571
Q1127.70181
median127.73044
Q3127.75147
95-th percentile127.78511
Maximum127.89647
Range0.36359
Interquartile range (IQR)0.04967

Descriptive statistics

Standard deviation0.054707158
Coefficient of variation (CV)0.00042833446
Kurtosis1.3657146
Mean127.72065
Median Absolute Deviation (MAD)0.0223
Skewness-0.50775901
Sum85700.559
Variance0.0029928731
MonotonicityNot monotonic
2024-04-30T07:57:14.190153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.74413 3
 
0.4%
127.73914 2
 
0.3%
127.76532 2
 
0.3%
127.75154 2
 
0.3%
127.7511 2
 
0.3%
127.75584 2
 
0.3%
127.72187 2
 
0.3%
127.72328 2
 
0.3%
127.74292 2
 
0.3%
127.71821 2
 
0.3%
Other values (644) 650
96.9%
ValueCountFrequency (%)
127.53288 1
0.1%
127.55202 1
0.1%
127.55271 1
0.1%
127.56272 1
0.1%
127.56749 1
0.1%
127.56753 1
0.1%
127.5721 1
0.1%
127.57241 1
0.1%
127.57312 1
0.1%
127.5732 1
0.1%
ValueCountFrequency (%)
127.89647 1
0.1%
127.89261 1
0.1%
127.88815 1
0.1%
127.88333 1
0.1%
127.88309 1
0.1%
127.88297 1
0.1%
127.88144 1
0.1%
127.88095 1
0.1%
127.87726 1
0.1%
127.86793 1
0.1%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
정류장
671 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정류장 671
100.0%

Length

2024-04-30T07:57:14.311009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:57:14.397286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정류장 671
100.0%

명칭
Text

Distinct518
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-04-30T07:57:14.736033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.0611028
Min length2

Characters and Unicode

Total characters3396
Distinct characters331
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique382 ?
Unique (%)56.9%

Sample

1st row산림조합강원본부
2nd row산림조합강원본부
3rd row금광터
4th row운전면허시험장
5th row소양강댐주차장
ValueCountFrequency (%)
신촌1리 4
 
0.6%
시외버스터미널 4
 
0.6%
방동1리 4
 
0.6%
명동입구 4
 
0.6%
방동2리 3
 
0.4%
군자3리 3
 
0.4%
방곡1리 3
 
0.4%
발산1리 3
 
0.4%
광판2리 3
 
0.4%
지암리 3
 
0.4%
Other values (508) 637
94.9%
2024-04-30T07:57:15.147808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
220
 
6.5%
A 74
 
2.2%
1 74
 
2.2%
72
 
2.1%
72
 
2.1%
68
 
2.0%
2 65
 
1.9%
61
 
1.8%
56
 
1.6%
55
 
1.6%
Other values (321) 2579
75.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3083
90.8%
Decimal Number 210
 
6.2%
Uppercase Letter 82
 
2.4%
Other Punctuation 8
 
0.2%
Open Punctuation 6
 
0.2%
Close Punctuation 6
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
220
 
7.1%
72
 
2.3%
72
 
2.3%
68
 
2.2%
61
 
2.0%
56
 
1.8%
55
 
1.8%
52
 
1.7%
47
 
1.5%
44
 
1.4%
Other values (300) 2336
75.8%
Decimal Number
ValueCountFrequency (%)
1 74
35.2%
2 65
31.0%
3 39
18.6%
4 14
 
6.7%
6 7
 
3.3%
5 5
 
2.4%
7 3
 
1.4%
8 1
 
0.5%
0 1
 
0.5%
9 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
A 74
90.2%
S 2
 
2.4%
B 2
 
2.4%
K 2
 
2.4%
H 1
 
1.2%
L 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
/ 6
75.0%
. 2
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3083
90.8%
Common 230
 
6.8%
Latin 83
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
220
 
7.1%
72
 
2.3%
72
 
2.3%
68
 
2.2%
61
 
2.0%
56
 
1.8%
55
 
1.8%
52
 
1.7%
47
 
1.5%
44
 
1.4%
Other values (300) 2336
75.8%
Common
ValueCountFrequency (%)
1 74
32.2%
2 65
28.3%
3 39
17.0%
4 14
 
6.1%
6 7
 
3.0%
/ 6
 
2.6%
( 6
 
2.6%
) 6
 
2.6%
5 5
 
2.2%
7 3
 
1.3%
Other values (4) 5
 
2.2%
Latin
ValueCountFrequency (%)
A 74
89.2%
S 2
 
2.4%
B 2
 
2.4%
K 2
 
2.4%
e 1
 
1.2%
H 1
 
1.2%
L 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3083
90.8%
ASCII 313
 
9.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
220
 
7.1%
72
 
2.3%
72
 
2.3%
68
 
2.2%
61
 
2.0%
56
 
1.8%
55
 
1.8%
52
 
1.7%
47
 
1.5%
44
 
1.4%
Other values (300) 2336
75.8%
ASCII
ValueCountFrequency (%)
A 74
23.6%
1 74
23.6%
2 65
20.8%
3 39
12.5%
4 14
 
4.5%
6 7
 
2.2%
/ 6
 
1.9%
( 6
 
1.9%
) 6
 
1.9%
5 5
 
1.6%
Other values (11) 17
 
5.4%

주소
Text

Distinct627
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-04-30T07:57:15.387814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length29
Mean length20.997019
Min length17

Characters and Unicode

Total characters14089
Distinct characters130
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique591 ?
Unique (%)88.1%

Sample

1st row강원특별자치도 춘천시 후평1동 740-19
2nd row강원특별자치도 춘천시 후평1동 739
3rd row강원특별자치도 춘천시 산천리 320-8
4th row강원특별자치도 춘천시 산천리 344-2
5th row강원특별자치도 춘천시 천전리 15-3
ValueCountFrequency (%)
강원특별자치도 671
24.6%
춘천시 671
24.6%
퇴계동 42
 
1.5%
석사동 39
 
1.4%
29
 
1.1%
우두동 25
 
0.9%
온의동 23
 
0.8%
후평1동 22
 
0.8%
사농동 18
 
0.7%
후평3동 17
 
0.6%
Other values (689) 1174
43.0%
2024-04-30T07:57:15.752906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2078
 
14.7%
715
 
5.1%
713
 
5.1%
695
 
4.9%
673
 
4.8%
673
 
4.8%
672
 
4.8%
671
 
4.8%
671
 
4.8%
671
 
4.8%
Other values (120) 5857
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8830
62.7%
Decimal Number 2695
 
19.1%
Space Separator 2078
 
14.7%
Dash Punctuation 472
 
3.4%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
715
 
8.1%
713
 
8.1%
695
 
7.9%
673
 
7.6%
673
 
7.6%
672
 
7.6%
671
 
7.6%
671
 
7.6%
671
 
7.6%
671
 
7.6%
Other values (106) 2005
22.7%
Decimal Number
ValueCountFrequency (%)
1 551
20.4%
2 373
13.8%
3 295
10.9%
7 236
8.8%
8 221
8.2%
6 217
 
8.1%
4 215
 
8.0%
5 203
 
7.5%
0 195
 
7.2%
9 189
 
7.0%
Space Separator
ValueCountFrequency (%)
2078
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 472
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8830
62.7%
Common 5259
37.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
715
 
8.1%
713
 
8.1%
695
 
7.9%
673
 
7.6%
673
 
7.6%
672
 
7.6%
671
 
7.6%
671
 
7.6%
671
 
7.6%
671
 
7.6%
Other values (106) 2005
22.7%
Common
ValueCountFrequency (%)
2078
39.5%
1 551
 
10.5%
- 472
 
9.0%
2 373
 
7.1%
3 295
 
5.6%
7 236
 
4.5%
8 221
 
4.2%
6 217
 
4.1%
4 215
 
4.1%
5 203
 
3.9%
Other values (4) 398
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8830
62.7%
ASCII 5259
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2078
39.5%
1 551
 
10.5%
- 472
 
9.0%
2 373
 
7.1%
3 295
 
5.6%
7 236
 
4.5%
8 221
 
4.2%
6 217
 
4.1%
4 215
 
4.1%
5 203
 
3.9%
Other values (4) 398
 
7.6%
Hangul
ValueCountFrequency (%)
715
 
8.1%
713
 
8.1%
695
 
7.9%
673
 
7.6%
673
 
7.6%
672
 
7.6%
671
 
7.6%
671
 
7.6%
671
 
7.6%
671
 
7.6%
Other values (106) 2005
22.7%

개수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
1
655 
3
 
12
2
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 655
97.6%
3 12
 
1.8%
2 4
 
0.6%

Length

2024-04-30T07:57:15.877899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:57:15.969186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 655
97.6%
3 12
 
1.8%
2 4
 
0.6%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
교통과
671 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교통과 671
100.0%

Length

2024-04-30T07:57:16.068315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:57:16.162710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교통과 671
100.0%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-04-15
671 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-15
2nd row2024-04-15
3rd row2024-04-15
4th row2024-04-15
5th row2024-04-15

Common Values

ValueCountFrequency (%)
2024-04-15 671
100.0%

Length

2024-04-30T07:57:16.257720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:57:16.343125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-15 671
100.0%

Interactions

2024-04-30T07:57:13.226212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:57:12.959566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:57:13.339832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:57:13.118894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T07:57:16.396329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도개수
위도1.0000.6990.000
경도0.6991.0000.000
개수0.0000.0001.000
2024-04-30T07:57:16.482528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도개수
위도1.0000.1380.000
경도0.1381.0000.000
개수0.0000.0001.000

Missing values

2024-04-30T07:57:13.494916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:57:13.605421image/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

위도경도구분명칭주소개수담당부서기준일자
037.88724127.75365정류장산림조합강원본부강원특별자치도 춘천시 후평1동 740-191교통과2024-04-15
137.88699127.75322정류장산림조합강원본부강원특별자치도 춘천시 후평1동 7391교통과2024-04-15
237.95331127.7463정류장금광터강원특별자치도 춘천시 산천리 320-81교통과2024-04-15
337.94753127.75073정류장운전면허시험장강원특별자치도 춘천시 산천리 344-21교통과2024-04-15
437.93833127.80195정류장소양강댐주차장강원특별자치도 춘천시 천전리 15-31교통과2024-04-15
537.87707127.72308정류장중앙시장환승센터강원특별자치도 춘천시 낙원동 118-83교통과2024-04-15
637.87244127.75268정류장후평3동우체국강원특별자치도 춘천시 후평1동 891-71교통과2024-04-15
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