Overview

Dataset statistics

Number of variables5
Number of observations52
Missing cells32
Missing cells (%)12.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory42.5 B

Variable types

Text4
Categorical1

Dataset

Description포항시 체육시설 현황에 관한 데이터로 포항시 체육시설 시설명, 소재지, 전화번호, 관리기관 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15030307/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 32 (61.5%) missing valuesMissing
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:22:19.595133
Analysis finished2023-12-12 07:22:19.968602
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T16:22:20.079938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length13
Mean length7.3846154
Min length3

Characters and Unicode

Total characters384
Distinct characters116
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

Unique52 ?
Unique (%)100.0%

Sample

1st row포항종합운동장
2nd row포항체육관
3rd row흥해체육관
4th row포항수영장
5th row시민볼링장
ValueCountFrequency (%)
포항종합운동장 1
 
1.8%
포항체육관 1
 
1.8%
연일읍민운동장 1
 
1.8%
연일읍민실내체육관 1
 
1.8%
우복리풋살구장 1
 
1.8%
연일테니스장 1
 
1.8%
연일게이트볼장 1
 
1.8%
연일족구장 1
 
1.8%
동해면민운동장(족구장 1
 
1.8%
동해면게이트볼장 1
 
1.8%
Other values (46) 46
82.1%
2023-12-12T16:22:20.387524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 44
 
11.5%
구 18
 
4.7%
체 12
 
3.1%
육 12
 
3.1%
포 10
 
2.6%
동 9
 
2.3%
스 8
 
2.1%
운 8
 
2.1%
해 8
 
2.1%
민 7
 
1.8%
Other values (106) 248
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 369
96.1%
Open Punctuation 5
 
1.3%
Close Punctuation 5
 
1.3%
Space Separator 4
 
1.0%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 44
 
11.9%
구 18
 
4.9%
체 12
 
3.3%
육 12
 
3.3%
포 10
 
2.7%
동 9
 
2.4%
스 8
 
2.2%
운 8
 
2.2%
해 8
 
2.2%
민 7
 
1.9%
Other values (102) 233
63.1%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 369
96.1%
Common 15
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 44
 
11.9%
구 18
 
4.9%
체 12
 
3.3%
육 12
 
3.3%
포 10
 
2.7%
동 9
 
2.4%
스 8
 
2.2%
운 8
 
2.2%
해 8
 
2.2%
민 7
 
1.9%
Other values (102) 233
63.1%
Common
ValueCountFrequency (%)
( 5
33.3%
) 5
33.3%
4
26.7%
, 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 369
96.1%
ASCII 15
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 44
 
11.9%
구 18
 
4.9%
체 12
 
3.3%
육 12
 
3.3%
포 10
 
2.7%
동 9
 
2.4%
스 8
 
2.2%
운 8
 
2.2%
해 8
 
2.2%
민 7
 
1.9%
Other values (102) 233
63.1%
ASCII
ValueCountFrequency (%)
( 5
33.3%
) 5
33.3%
4
26.7%
, 1
 
6.7%

소재지 도로명주소
Text

Distinct43
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T16:22:20.657689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length22.384615
Min length18

Characters and Unicode

Total characters1164
Distinct characters87
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

Unique38 ?
Unique (%)73.1%

Sample

1st row경상북도 포항시 남구 희망대로 810
2nd row경상북도 포항시 남구 희망대로 810
3rd row경상북도 포항시 북구 흥해읍 동해대로 1513
4th row경상북도 포항시 남구 희망대로 810
5th row경상북도 포항시 남구 희망대로 770
ValueCountFrequency (%)
경상북도 52
18.2%
포항시 52
18.2%
남구 32
 
11.2%
북구 20
 
7.0%
희망대로 9
 
3.1%
연일읍 6
 
2.1%
흥해읍 6
 
2.1%
810 5
 
1.7%
양덕동 5
 
1.7%
우복리 3
 
1.0%
Other values (81) 96
33.6%
2023-12-12T16:22:21.044483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
234
20.1%
북 72
 
6.2%
도 59
 
5.1%
구 56
 
4.8%
상 55
 
4.7%
포 54
 
4.6%
경 52
 
4.5%
항 52
 
4.5%
시 52
 
4.5%
1 46
 
4.0%
Other values (77) 432
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 734
63.1%
Space Separator 234
 
20.1%
Decimal Number 176
 
15.1%
Dash Punctuation 20
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 72
 
9.8%
도 59
 
8.0%
구 56
 
7.6%
상 55
 
7.5%
포 54
 
7.4%
경 52
 
7.1%
항 52
 
7.1%
시 52
 
7.1%
남 33
 
4.5%
리 19
 
2.6%
Other values (65) 230
31.3%
Decimal Number
ValueCountFrequency (%)
1 46
26.1%
8 23
13.1%
0 17
 
9.7%
5 16
 
9.1%
3 15
 
8.5%
2 15
 
8.5%
6 13
 
7.4%
4 12
 
6.8%
7 10
 
5.7%
9 9
 
5.1%
Space Separator
ValueCountFrequency (%)
234
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 734
63.1%
Common 430
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 72
 
9.8%
도 59
 
8.0%
구 56
 
7.6%
상 55
 
7.5%
포 54
 
7.4%
경 52
 
7.1%
항 52
 
7.1%
시 52
 
7.1%
남 33
 
4.5%
리 19
 
2.6%
Other values (65) 230
31.3%
Common
ValueCountFrequency (%)
234
54.4%
1 46
 
10.7%
8 23
 
5.3%
- 20
 
4.7%
0 17
 
4.0%
5 16
 
3.7%
3 15
 
3.5%
2 15
 
3.5%
6 13
 
3.0%
4 12
 
2.8%
Other values (2) 19
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 734
63.1%
ASCII 430
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
234
54.4%
1 46
 
10.7%
8 23
 
5.3%
- 20
 
4.7%
0 17
 
4.0%
5 16
 
3.7%
3 15
 
3.5%
2 15
 
3.5%
6 13
 
3.0%
4 12
 
2.8%
Other values (2) 19
 
4.4%
Hangul
ValueCountFrequency (%)
북 72
 
9.8%
도 59
 
8.0%
구 56
 
7.6%
상 55
 
7.5%
포 54
 
7.4%
경 52
 
7.1%
항 52
 
7.1%
시 52
 
7.1%
남 33
 
4.5%
리 19
 
2.6%
Other values (65) 230
31.3%

전화번호
Text

MISSING 

Distinct17
Distinct (%)85.0%
Missing32
Missing (%)61.5%
Memory size548.0 B
2023-12-12T16:22:21.208851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters240
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)80.0%

Sample

1st row054-280-9503
2nd row054-280-9506
3rd row054-280-9575
4th row054-280-9535
5th row054-280-9541
ValueCountFrequency (%)
054-280-9561 4
20.0%
054-280-9515 1
 
5.0%
054-280-9594 1
 
5.0%
054-244-7330 1
 
5.0%
054-242-8276 1
 
5.0%
054-273-7330 1
 
5.0%
054-243-7330 1
 
5.0%
054-280-9525 1
 
5.0%
054-280-9503 1
 
5.0%
054-280-9575 1
 
5.0%
Other values (7) 7
35.0%
2023-12-12T16:22:21.485191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 42
17.5%
- 40
16.7%
5 38
15.8%
4 29
12.1%
2 23
9.6%
9 18
7.5%
8 16
 
6.7%
7 11
 
4.6%
3 11
 
4.6%
6 6
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 200
83.3%
Dash Punctuation 40
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 42
21.0%
5 38
19.0%
4 29
14.5%
2 23
11.5%
9 18
9.0%
8 16
 
8.0%
7 11
 
5.5%
3 11
 
5.5%
6 6
 
3.0%
1 6
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 240
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 42
17.5%
- 40
16.7%
5 38
15.8%
4 29
12.1%
2 23
9.6%
9 18
7.5%
8 16
 
6.7%
7 11
 
4.6%
3 11
 
4.6%
6 6
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 42
17.5%
- 40
16.7%
5 38
15.8%
4 29
12.1%
2 23
9.6%
9 18
7.5%
8 16
 
6.7%
7 11
 
4.6%
3 11
 
4.6%
6 6
 
2.5%

관리기관
Text

Distinct30
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T16:22:21.670800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length8.4615385
Min length6

Characters and Unicode

Total characters440
Distinct characters81
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

Unique27 ?
Unique (%)51.9%

Sample

1st row포항시시설관리공단
2nd row포항시시설관리공단
3rd row포항시시설관리공단
4th row포항시시설관리공단
5th row포항시시설관리공단
ValueCountFrequency (%)
포항시시설관리공단 17
32.1%
연일읍체육회 6
 
11.3%
동해문화체육회 2
 
3.8%
상대동체육회 1
 
1.9%
대송면체육회 1
 
1.9%
포항시파크골프협회 1
 
1.9%
포항시시설관리공단(송학정궁도회 1
 
1.9%
환여동체육회 1
 
1.9%
장성테니스클럽 1
 
1.9%
장량동체육회 1
 
1.9%
Other values (21) 21
39.6%
2023-12-12T16:22:22.022467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 44
 
10.0%
포 31
 
7.0%
회 31
 
7.0%
항 28
 
6.4%
공 22
 
5.0%
설 18
 
4.1%
리 18
 
4.1%
단 18
 
4.1%
관 18
 
4.1%
육 16
 
3.6%
Other values (71) 196
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 431
98.0%
Close Punctuation 4
 
0.9%
Open Punctuation 4
 
0.9%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 44
 
10.2%
포 31
 
7.2%
회 31
 
7.2%
항 28
 
6.5%
공 22
 
5.1%
설 18
 
4.2%
리 18
 
4.2%
단 18
 
4.2%
관 18
 
4.2%
육 16
 
3.7%
Other values (68) 187
43.4%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 431
98.0%
Common 9
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 44
 
10.2%
포 31
 
7.2%
회 31
 
7.2%
항 28
 
6.5%
공 22
 
5.1%
설 18
 
4.2%
리 18
 
4.2%
단 18
 
4.2%
관 18
 
4.2%
육 16
 
3.7%
Other values (68) 187
43.4%
Common
ValueCountFrequency (%)
) 4
44.4%
( 4
44.4%
1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 431
98.0%
ASCII 9
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 44
 
10.2%
포 31
 
7.2%
회 31
 
7.2%
항 28
 
6.5%
공 22
 
5.1%
설 18
 
4.2%
리 18
 
4.2%
단 18
 
4.2%
관 18
 
4.2%
육 16
 
3.7%
Other values (68) 187
43.4%
ASCII
ValueCountFrequency (%)
) 4
44.4%
( 4
44.4%
1
 
11.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-07-26
52 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-26
2nd row2023-07-26
3rd row2023-07-26
4th row2023-07-26
5th row2023-07-26

Common Values

ValueCountFrequency (%)
2023-07-26 52
100.0%

Length

2023-12-12T16:22:22.503556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:22:22.599386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-26 52
100.0%

Correlations

2023-12-12T16:22:22.660824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명소재지 도로명주소전화번호관리기관
시설명1.0001.0001.0001.000
소재지 도로명주소1.0001.0000.8980.972
전화번호1.0000.8981.0001.000
관리기관1.0000.9721.0001.000

Missing values

2023-12-12T16:22:19.863140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:22:19.937888image/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

시설명소재지 도로명주소전화번호관리기관데이터기준일자
0포항종합운동장경상북도 포항시 남구 희망대로 810054-280-9503포항시시설관리공단2023-07-26
1포항체육관경상북도 포항시 남구 희망대로 810054-280-9506포항시시설관리공단2023-07-26
2흥해체육관경상북도 포항시 북구 흥해읍 동해대로 1513054-280-9575포항시시설관리공단2023-07-26
3포항수영장경상북도 포항시 남구 희망대로 810054-280-9535포항시시설관리공단2023-07-26
4시민볼링장경상북도 포항시 남구 희망대로 770054-280-9541포항시시설관리공단2023-07-26
5(양학)국민체육센터경상북도 포항시 북구 양학로 166054-280-9570포항시시설관리공단2023-07-26
6장애인형국민체육센터경상북도 포항시 북구 여남동 267-1054-280-9473포항시시설관리공단2023-07-26
7청림운동장경상북도 포항시 남구 일월동 713054-280-9504포항시시설관리공단2023-07-26
8포항야구장경상북도 포항시 남구 희망대로 790054-280-9561포항시시설관리공단2023-07-26
9인라인롤러장경상북도 포항시 남구 섬안로 180<NA>포항시시설관리공단2023-07-26
시설명소재지 도로명주소전화번호관리기관데이터기준일자
42흥해옥성테니스장경상북도 포항시 북구 흥해읍 초곡리 998<NA>흥해테니스회(흥해마스터즈테니스클럽)2023-07-26
43새마을발상지운동장(기계면농어촌복합체육시설 포함)경상북도 포항시 북구 기계면 새마을발상지길 46<NA>기계면청년회2023-07-26
44송라풋살구장경상북도 포항시 북구 송라면 광천리 189-35<NA>송라면체육회2023-07-26
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