Overview

Dataset statistics

Number of variables5
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory45.3 B

Variable types

Categorical1
Text4

Dataset

Description대전광역시 3대 하천 및 주요 지천 위치 현황 입니다. 위치 현황은 조사지점, 조사지점 위치, 위치좌표(위도, 경도)가 포함되어 있습니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15073522/fileData.do

Alerts

조사지점 has unique valuesUnique
조사지점 위치 has unique valuesUnique
위도(X) has unique valuesUnique
경도(Y) has unique valuesUnique

Reproduction

Analysis started2024-03-30 01:49:42.548367
Analysis finished2024-03-30 01:49:43.506681
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
3대하천 지점
17 
대전 주요 지천 지점
8 

Length

Max length11
Median length7
Mean length8.28
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3대하천 지점
2nd row3대하천 지점
3rd row3대하천 지점
4th row3대하천 지점
5th row3대하천 지점

Common Values

ValueCountFrequency (%)
3대하천 지점 17
68.0%
대전 주요 지천 지점 8
32.0%

Length

2024-03-30T01:49:43.763811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T01:49:44.229249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지점 25
37.9%
3대하천 17
25.8%
대전 8
 
12.1%
주요 8
 
12.1%
지천 8
 
12.1%

조사지점
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-03-30T01:49:44.837448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.4
Min length3

Characters and Unicode

Total characters85
Distinct characters28
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row갑천1
2nd row갑천2
3rd row갑천3
4th row갑천4
5th row갑천5
ValueCountFrequency (%)
갑천1 1
 
4.0%
대전천2 1
 
4.0%
용호천 1
 
4.0%
대동천 1
 
4.0%
정생천 1
 
4.0%
탄동천 1
 
4.0%
유성천 1
 
4.0%
진잠천 1
 
4.0%
두계천 1
 
4.0%
주원천 1
 
4.0%
Other values (15) 15
60.0%
2024-03-30T01:49:45.986122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
천 25
29.4%
유 7
 
8.2%
갑 6
 
7.1%
등 6
 
7.1%
대 5
 
5.9%
전 4
 
4.7%
3 3
 
3.5%
4 3
 
3.5%
2 3
 
3.5%
5 2
 
2.4%
Other values (18) 21
24.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69
81.2%
Decimal Number 16
 
18.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 25
36.2%
유 7
 
10.1%
갑 6
 
8.7%
등 6
 
8.7%
대 5
 
7.2%
전 4
 
5.8%
동 2
 
2.9%
탄 1
 
1.4%
관 1
 
1.4%
호 1
 
1.4%
Other values (11) 11
15.9%
Decimal Number
ValueCountFrequency (%)
3 3
18.8%
4 3
18.8%
2 3
18.8%
5 2
12.5%
6 2
12.5%
1 2
12.5%
7 1
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69
81.2%
Common 16
 
18.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 25
36.2%
유 7
 
10.1%
갑 6
 
8.7%
등 6
 
8.7%
대 5
 
7.2%
전 4
 
5.8%
동 2
 
2.9%
탄 1
 
1.4%
관 1
 
1.4%
호 1
 
1.4%
Other values (11) 11
15.9%
Common
ValueCountFrequency (%)
3 3
18.8%
4 3
18.8%
2 3
18.8%
5 2
12.5%
6 2
12.5%
1 2
12.5%
7 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69
81.2%
ASCII 16
 
18.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
천 25
36.2%
유 7
 
10.1%
갑 6
 
8.7%
등 6
 
8.7%
대 5
 
7.2%
전 4
 
5.8%
동 2
 
2.9%
탄 1
 
1.4%
관 1
 
1.4%
호 1
 
1.4%
Other values (11) 11
15.9%
ASCII
ValueCountFrequency (%)
3 3
18.8%
4 3
18.8%
2 3
18.8%
5 2
12.5%
6 2
12.5%
1 2
12.5%
7 1
 
6.2%

조사지점 위치
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-03-30T01:49:46.584715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length18.52
Min length16

Characters and Unicode

Total characters463
Distinct characters65
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

Unique25 ?
Unique (%)100.0%

Sample

1st row대전광역시 서구 용촌동 (봉곡2교)
2nd row대전광역시 서구 정림동 (가수원교)
3rd row대전광역시 서구 월평동 (만년교)
4th row대전광역시 서구 삼천동 (대덕대교)
5th row대전광역시 유성구 전민동 (갑천교)
ValueCountFrequency (%)
대전광역시 25
25.3%
서구 7
 
7.1%
중구 7
 
7.1%
유성구 6
 
6.1%
동구 3
 
3.0%
삼천동 2
 
2.0%
대덕구 2
 
2.0%
삼성동 2
 
2.0%
용호교 1
 
1.0%
원정교 1
 
1.0%
Other values (43) 43
43.4%
2024-03-30T01:49:47.667695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
16.2%
대 30
 
6.5%
구 27
 
5.8%
동 27
 
5.8%
전 26
 
5.6%
) 25
 
5.4%
( 25
 
5.4%
시 25
 
5.4%
역 25
 
5.4%
광 25
 
5.4%
Other values (55) 153
33.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 337
72.8%
Space Separator 75
 
16.2%
Close Punctuation 25
 
5.4%
Open Punctuation 25
 
5.4%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 30
 
8.9%
구 27
 
8.0%
동 27
 
8.0%
전 26
 
7.7%
시 25
 
7.4%
역 25
 
7.4%
광 25
 
7.4%
교 23
 
6.8%
성 10
 
3.0%
유 8
 
2.4%
Other values (51) 111
32.9%
Space Separator
ValueCountFrequency (%)
75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 337
72.8%
Common 126
 
27.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 30
 
8.9%
구 27
 
8.0%
동 27
 
8.0%
전 26
 
7.7%
시 25
 
7.4%
역 25
 
7.4%
광 25
 
7.4%
교 23
 
6.8%
성 10
 
3.0%
유 8
 
2.4%
Other values (51) 111
32.9%
Common
ValueCountFrequency (%)
75
59.5%
) 25
 
19.8%
( 25
 
19.8%
2 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 337
72.8%
ASCII 126
 
27.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75
59.5%
) 25
 
19.8%
( 25
 
19.8%
2 1
 
0.8%
Hangul
ValueCountFrequency (%)
대 30
 
8.9%
구 27
 
8.0%
동 27
 
8.0%
전 26
 
7.7%
시 25
 
7.4%
역 25
 
7.4%
광 25
 
7.4%
교 23
 
6.8%
성 10
 
3.0%
유 8
 
2.4%
Other values (51) 111
32.9%

위도(X)
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-03-30T01:49:48.139459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.68
Min length11

Characters and Unicode

Total characters292
Distinct characters14
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row36˚15'11.73"
2nd row36˚18'22.15"
3rd row36˚21'05.93"
4th row36˚22'25.34"
5th row36˚24'17.23"
ValueCountFrequency (%)
36˚15'11.73 1
 
4.0%
36˚18'54.17 1
 
4.0%
36˚26'55.3 1
 
4.0%
36˚20'14.7 1
 
4.0%
36˚15'59.1 1
 
4.0%
36˚22'27.0 1
 
4.0%
36˚21'40.9 1
 
4.0%
36˚20'38.8 1
 
4.0%
36˚15'20.4 1
 
4.0%
36˚20'31.70 1
 
4.0%
Other values (15) 15
60.0%
2024-03-30T01:49:48.999454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 35
12.0%
6 33
11.3%
1 26
8.9%
2 26
8.9%
˚ 25
8.6%
' 25
8.6%
. 25
8.6%
" 25
8.6%
5 20
6.8%
0 18
6.2%
Other values (4) 34
11.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 192
65.8%
Other Punctuation 75
 
25.7%
Modifier Symbol 25
 
8.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 35
18.2%
6 33
17.2%
1 26
13.5%
2 26
13.5%
5 20
10.4%
0 18
9.4%
7 11
 
5.7%
4 9
 
4.7%
8 8
 
4.2%
9 6
 
3.1%
Other Punctuation
ValueCountFrequency (%)
' 25
33.3%
. 25
33.3%
" 25
33.3%
Modifier Symbol
ValueCountFrequency (%)
˚ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 292
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 35
12.0%
6 33
11.3%
1 26
8.9%
2 26
8.9%
˚ 25
8.6%
' 25
8.6%
. 25
8.6%
" 25
8.6%
5 20
6.8%
0 18
6.2%
Other values (4) 34
11.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 267
91.4%
Modifier Letters 25
 
8.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 35
13.1%
6 33
12.4%
1 26
9.7%
2 26
9.7%
' 25
9.4%
. 25
9.4%
" 25
9.4%
5 20
7.5%
0 18
6.7%
7 11
 
4.1%
Other values (3) 23
8.6%
Modifier Letters
ValueCountFrequency (%)
˚ 25
100.0%

경도(Y)
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-03-30T01:49:49.494502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.68
Min length13

Characters and Unicode

Total characters342
Distinct characters15
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row 127˚19'30.76"
2nd row 127˚21'29.25"
3rd row 127˚20'56.97"
4th row 127˚22'45.96"
5th row 127˚24'43.98"
ValueCountFrequency (%)
127˚19'30.76 1
 
4.0%
127˚26'21.95 1
 
4.0%
127˚27'06.6 1
 
4.0%
127˚25'29.7 1
 
4.0%
127˚23'50.6 1
 
4.0%
127˚22'42.3 1
 
4.0%
127˚21'29.3 1
 
4.0%
127˚20'39.1 1
 
4.0%
127˚18'18.2 1
 
4.0%
127˚29'33.30 1
 
4.0%
Other values (15) 15
60.0%
2024-03-30T01:49:50.513959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 61
17.8%
1 38
11.1%
7 33
9.6%
25
7.3%
˚ 25
7.3%
' 25
7.3%
. 25
7.3%
" 25
7.3%
3 18
 
5.3%
0 15
 
4.4%
Other values (5) 52
15.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 217
63.5%
Other Punctuation 75
 
21.9%
Space Separator 25
 
7.3%
Modifier Symbol 25
 
7.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 61
28.1%
1 38
17.5%
7 33
15.2%
3 18
 
8.3%
0 15
 
6.9%
5 14
 
6.5%
9 12
 
5.5%
4 11
 
5.1%
6 9
 
4.1%
8 6
 
2.8%
Other Punctuation
ValueCountFrequency (%)
' 25
33.3%
. 25
33.3%
" 25
33.3%
Space Separator
ValueCountFrequency (%)
25
100.0%
Modifier Symbol
ValueCountFrequency (%)
˚ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 342
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 61
17.8%
1 38
11.1%
7 33
9.6%
25
7.3%
˚ 25
7.3%
' 25
7.3%
. 25
7.3%
" 25
7.3%
3 18
 
5.3%
0 15
 
4.4%
Other values (5) 52
15.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 317
92.7%
Modifier Letters 25
 
7.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 61
19.2%
1 38
12.0%
7 33
10.4%
25
7.9%
' 25
7.9%
. 25
7.9%
" 25
7.9%
3 18
 
5.7%
0 15
 
4.7%
5 14
 
4.4%
Other values (4) 38
12.0%
Modifier Letters
ValueCountFrequency (%)
˚ 25
100.0%

Correlations

2024-03-30T01:49:50.843532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분조사지점조사지점 위치위도(X)경도(Y)
구분1.0001.0001.0001.0001.000
조사지점1.0001.0001.0001.0001.000
조사지점 위치1.0001.0001.0001.0001.000
위도(X)1.0001.0001.0001.0001.000
경도(Y)1.0001.0001.0001.0001.000

Missing values

2024-03-30T01:49:43.032248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-30T01:49:43.368997image/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

구분조사지점조사지점 위치위도(X)경도(Y)
03대하천 지점갑천1대전광역시 서구 용촌동 (봉곡2교)36˚15'11.73"127˚19'30.76"
13대하천 지점갑천2대전광역시 서구 정림동 (가수원교)36˚18'22.15"127˚21'29.25"
23대하천 지점갑천3대전광역시 서구 월평동 (만년교)36˚21'05.93"127˚20'56.97"
33대하천 지점갑천4대전광역시 서구 삼천동 (대덕대교)36˚22'25.34"127˚22'45.96"
43대하천 지점갑천5대전광역시 유성구 전민동 (갑천교)36˚24'17.23"127˚24'43.98"
53대하천 지점갑천6대전광역시 유성구 (신구교)36˚26'10.67"127˚23'31.00"
63대하천 지점유등천2대전광역시 중구 침산동 (침산교)36˚16'38.48"127˚23'52.45"
73대하천 지점유등천3대전광역시 중구 산성동 (버드내다리)36˚18'15.23"127˚22'53.76"
83대하천 지점유등천4대전광역시 중구 유천동 (유등교)36˚18'55.37"127˚23'11.28"
93대하천 지점유등천5대전광역시 서구 용문동 (수침교)36˚20'06.70"127˚23'51.41"
구분조사지점조사지점 위치위도(X)경도(Y)
153대하천 지점대전천4대전광역시 동구 삼성동 (현암교)36˚20'20.66"127˚25'05.95"
163대하천 지점주원천대전광역시 동구 세천동 (세천교)36˚20'31.70"127˚29'33.30"
17대전 주요 지천 지점두계천대전광역시 서구 원정동 (원정교)36˚15'20.4"127˚18'18.2"
18대전 주요 지천 지점진잠천대전광역시 유성구 원신흥동 (원신흥교)36˚20'38.8"127˚20'39.1"
19대전 주요 지천 지점유성천대전광역시 유성구 어은동 (어은교)36˚21'40.9"127˚21'29.3"
20대전 주요 지천 지점탄동천대전광역시 유성구 구성동 (매봉교)36˚22'27.0"127˚22'42.3"
21대전 주요 지천 지점정생천대전광역시 중구 정생동 (정생보)36˚15'59.1"127˚23'50.6"
22대전 주요 지천 지점대동천대전광역시 동구 삼성동 (북부교)36˚20'14.7"127˚25'29.7"
23대전 주요 지천 지점용호천대전광역시 대덕구 용호동 (용호교)36˚26'55.3"127˚27'06.6"
24대전 주요 지천 지점관평천대전광역시 유성구 관평동 (관평교)36˚25'45.1"127˚24'00.4"