Overview

Dataset statistics

Number of variables15
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory126.3 B

Variable types

Text4
Categorical9
Numeric2

Dataset

Description대구광역시_중구_무료와이파이_20190620
Author대구광역시 중구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15009203&dataSetDetailId=1500920318efb7af13083_201910021342&provdMethod=FILE

Alerts

설치시도명 has constant value ""Constant
설치시군구명 has constant value ""Constant
와이파이SSID has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
설치장소명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-04-21 08:33:48.287621
Analysis finished2024-04-21 08:33:50.919543
Duration2.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치장소명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-04-21T17:33:51.407141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.5333333
Min length4

Characters and Unicode

Total characters226
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

Unique30 ?
Unique (%)100.0%

Sample

1st row서문시장 제4지구
2nd row서문시장 제5지구
3rd row남문시장
4th row교동시장
5th row서문시장 명품프라자 상가
ValueCountFrequency (%)
서문시장 4
 
10.8%
경상감영공원 1
 
2.7%
삼덕동주민센터 1
 
2.7%
남산2동주민센터 1
 
2.7%
염매시장 1
 
2.7%
중부노인복지센터 1
 
2.7%
봉산문화회관 1
 
2.7%
대구청소년지원재단 1
 
2.7%
대구중구노인상담소 1
 
2.7%
제4지구 1
 
2.7%
Other values (24) 24
64.9%
2024-04-21T17:33:52.333438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 12
 
5.3%
장 10
 
4.4%
구 10
 
4.4%
동 9
 
4.0%
터 9
 
4.0%
센 8
 
3.5%
문 7
 
3.1%
7
 
3.1%
지 7
 
3.1%
민 6
 
2.7%
Other values (77) 141
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 210
92.9%
Decimal Number 8
 
3.5%
Space Separator 7
 
3.1%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 12
 
5.7%
장 10
 
4.8%
구 10
 
4.8%
동 9
 
4.3%
터 9
 
4.3%
센 8
 
3.8%
문 7
 
3.3%
지 7
 
3.3%
민 6
 
2.9%
중 6
 
2.9%
Other values (70) 126
60.0%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
2 2
25.0%
5 1
 
12.5%
4 1
 
12.5%
3 1
 
12.5%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 210
92.9%
Common 16
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 12
 
5.7%
장 10
 
4.8%
구 10
 
4.8%
동 9
 
4.3%
터 9
 
4.3%
센 8
 
3.8%
문 7
 
3.3%
지 7
 
3.3%
민 6
 
2.9%
중 6
 
2.9%
Other values (70) 126
60.0%
Common
ValueCountFrequency (%)
7
43.8%
1 3
18.8%
2 2
 
12.5%
5 1
 
6.2%
4 1
 
6.2%
3 1
 
6.2%
. 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 210
92.9%
ASCII 16
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 12
 
5.7%
장 10
 
4.8%
구 10
 
4.8%
동 9
 
4.3%
터 9
 
4.3%
센 8
 
3.8%
문 7
 
3.3%
지 7
 
3.3%
민 6
 
2.9%
중 6
 
2.9%
Other values (70) 126
60.0%
ASCII
ValueCountFrequency (%)
7
43.8%
1 3
18.8%
2 2
 
12.5%
5 1
 
6.2%
4 1
 
6.2%
3 1
 
6.2%
. 1
 
6.2%

설치장소상세
Text

Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-04-21T17:33:53.006947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length8.3
Min length3

Characters and Unicode

Total characters249
Distinct characters64
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

Unique17 ?
Unique (%)56.7%

Sample

1st row상가통로
2nd row상가통로
3rd row상가통로 및 옥상
4th row상가통로 및 옥상
5th row상가 통로
ValueCountFrequency (%)
내 8
 
10.7%
민원실 8
 
10.7%
상가통로 5
 
6.7%
주민센터 4
 
5.3%
및 4
 
5.3%
옥상 3
 
4.0%
로비 3
 
4.0%
통로 2
 
2.7%
복도 2
 
2.7%
앞 2
 
2.7%
Other values (30) 34
45.3%
2024-04-21T17:33:53.930904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47
18.9%
로 12
 
4.8%
민 12
 
4.8%
, 10
 
4.0%
실 10
 
4.0%
상 10
 
4.0%
내 9
 
3.6%
원 9
 
3.6%
통 9
 
3.6%
터 7
 
2.8%
Other values (54) 114
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 189
75.9%
Space Separator 47
 
18.9%
Other Punctuation 10
 
4.0%
Decimal Number 3
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 12
 
6.3%
민 12
 
6.3%
실 10
 
5.3%
상 10
 
5.3%
내 9
 
4.8%
원 9
 
4.8%
통 9
 
4.8%
터 7
 
3.7%
장 6
 
3.2%
센 6
 
3.2%
Other values (50) 99
52.4%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
47
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 189
75.9%
Common 60
 
24.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 12
 
6.3%
민 12
 
6.3%
실 10
 
5.3%
상 10
 
5.3%
내 9
 
4.8%
원 9
 
4.8%
통 9
 
4.8%
터 7
 
3.7%
장 6
 
3.2%
센 6
 
3.2%
Other values (50) 99
52.4%
Common
ValueCountFrequency (%)
47
78.3%
, 10
 
16.7%
2 2
 
3.3%
1 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 189
75.9%
ASCII 60
 
24.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47
78.3%
, 10
 
16.7%
2 2
 
3.3%
1 1
 
1.7%
Hangul
ValueCountFrequency (%)
로 12
 
6.3%
민 12
 
6.3%
실 10
 
5.3%
상 10
 
5.3%
내 9
 
4.8%
원 9
 
4.8%
통 9
 
4.8%
터 7
 
3.7%
장 6
 
3.2%
센 6
 
3.2%
Other values (50) 99
52.4%

설치시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
대구광역시
30 

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 30
100.0%

Length

2024-04-21T17:33:54.147680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:33:54.307094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 30
100.0%

설치시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
중구
30 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 30
100.0%

Length

2024-04-21T17:33:54.476956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:33:54.637548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 30
100.0%

설치시설구분
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
기타
11 
관공서
9 
서민·복지시설
9 
관광
 
1

Length

Max length7
Median length3
Mean length3.8
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
기타 11
36.7%
관공서 9
30.0%
서민·복지시설 9
30.0%
관광 1
 
3.3%

Length

2024-04-21T17:33:54.803260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:33:54.983417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 11
36.7%
관공서 9
30.0%
서민·복지시설 9
30.0%
관광 1
 
3.3%

서비스제공사명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
LG U+
18 
KT
10 
SKT
2 

Length

Max length5
Median length5
Mean length3.8666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLG U+
2nd rowSKT
3rd rowSKT
4th rowLG U+
5th rowKT

Common Values

ValueCountFrequency (%)
LG U+ 18
60.0%
KT 10
33.3%
SKT 2
 
6.7%

Length

2024-04-21T17:33:55.189483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:33:55.379329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
lg 18
37.5%
u 18
37.5%
kt 10
20.8%
skt 2
 
4.2%

와이파이SSID
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
Public WiFi Free
30 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPublic WiFi Free
2nd rowPublic WiFi Free
3rd rowPublic WiFi Free
4th rowPublic WiFi Free
5th rowPublic WiFi Free

Common Values

ValueCountFrequency (%)
Public WiFi Free 30
100.0%

Length

2024-04-21T17:33:55.560381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:33:55.722178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
public 30
33.3%
wifi 30
33.3%
free 30
33.3%

설치년월
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size368.0 B
2016-11
17 
2016-10
13 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2016-10
2nd row2016-10
3rd row2016-10
4th row2016-10
5th row2016-10

Common Values

ValueCountFrequency (%)
2016-11 17
56.7%
2016-10 13
43.3%

Length

2024-04-21T17:33:55.888197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:33:56.057298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2016-11 17
56.7%
2016-10 13
43.3%

소재지도로명주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-04-21T17:33:56.690993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length18.166667
Min length13

Characters and Unicode

Total characters545
Distinct characters53
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

Unique30 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 큰장로28길 28(대신동)
2nd row대구광역시 중구 큰장로26길6
3rd row대구광역시 중구 명륜로 70
4th row대구광역시 중구 교동길 40
5th row대구광역시 중구 큰장로28길 27
ValueCountFrequency (%)
대구광역시 30
25.6%
중구 30
25.6%
명륜로 3
 
2.6%
40 3
 
2.6%
큰장로28길 3
 
2.6%
27 2
 
1.7%
태평로 2
 
1.7%
봉산문화길 2
 
1.7%
중앙대로81길 1
 
0.9%
66-5 1
 
0.9%
Other values (40) 40
34.2%
2024-04-21T17:33:57.599367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
16.0%
구 64
 
11.7%
대 39
 
7.2%
중 32
 
5.9%
광 30
 
5.5%
역 30
 
5.5%
시 30
 
5.5%
로 24
 
4.4%
길 22
 
4.0%
7 18
 
3.3%
Other values (43) 169
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 344
63.1%
Decimal Number 103
 
18.9%
Space Separator 87
 
16.0%
Dash Punctuation 7
 
1.3%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 64
18.6%
대 39
11.3%
중 32
9.3%
광 30
8.7%
역 30
8.7%
시 30
8.7%
로 24
 
7.0%
길 22
 
6.4%
달 5
 
1.5%
륜 4
 
1.2%
Other values (29) 64
18.6%
Decimal Number
ValueCountFrequency (%)
7 18
17.5%
4 16
15.5%
2 14
13.6%
1 13
12.6%
8 9
8.7%
0 9
8.7%
6 8
7.8%
9 6
 
5.8%
3 5
 
4.9%
5 5
 
4.9%
Space Separator
ValueCountFrequency (%)
87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 344
63.1%
Common 201
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 64
18.6%
대 39
11.3%
중 32
9.3%
광 30
8.7%
역 30
8.7%
시 30
8.7%
로 24
 
7.0%
길 22
 
6.4%
달 5
 
1.5%
륜 4
 
1.2%
Other values (29) 64
18.6%
Common
ValueCountFrequency (%)
87
43.3%
7 18
 
9.0%
4 16
 
8.0%
2 14
 
7.0%
1 13
 
6.5%
8 9
 
4.5%
0 9
 
4.5%
6 8
 
4.0%
- 7
 
3.5%
9 6
 
3.0%
Other values (4) 14
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 344
63.1%
ASCII 201
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
43.3%
7 18
 
9.0%
4 16
 
8.0%
2 14
 
7.0%
1 13
 
6.5%
8 9
 
4.5%
0 9
 
4.5%
6 8
 
4.0%
- 7
 
3.5%
9 6
 
3.0%
Other values (4) 14
 
7.0%
Hangul
ValueCountFrequency (%)
구 64
18.6%
대 39
11.3%
중 32
9.3%
광 30
8.7%
역 30
8.7%
시 30
8.7%
로 24
 
7.0%
길 22
 
6.4%
달 5
 
1.5%
륜 4
 
1.2%
Other values (29) 64
18.6%

소재지지번주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-04-21T17:33:58.249384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.366667
Min length15

Characters and Unicode

Total characters551
Distinct characters37
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

Unique30 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 대신동115-377
2nd row대구광역시 중구 대신동 115-400
3rd row대구광역시 중구 남산동 698-22
4th row대구광역시 중구 교동 67-12
5th row대구광역시 중구 대신동 115-112
ValueCountFrequency (%)
대구광역시 30
25.2%
중구 30
25.2%
남산동 5
 
4.2%
대신동 4
 
3.4%
대봉동 4
 
3.4%
봉산동 2
 
1.7%
21 1
 
0.8%
계산동2가 1
 
0.8%
255-1 1
 
0.8%
618-24 1
 
0.8%
Other values (40) 40
33.6%
2024-04-21T17:33:59.121862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
16.2%
구 60
 
10.9%
대 40
 
7.3%
1 38
 
6.9%
역 30
 
5.4%
시 30
 
5.4%
광 30
 
5.4%
중 30
 
5.4%
동 29
 
5.3%
- 24
 
4.4%
Other values (27) 151
27.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 306
55.5%
Decimal Number 132
24.0%
Space Separator 89
 
16.2%
Dash Punctuation 24
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 60
19.6%
대 40
13.1%
역 30
9.8%
시 30
9.8%
광 30
9.8%
중 30
9.8%
동 29
9.5%
가 9
 
2.9%
산 9
 
2.9%
봉 6
 
2.0%
Other values (15) 33
10.8%
Decimal Number
ValueCountFrequency (%)
1 38
28.8%
2 22
16.7%
4 14
 
10.6%
7 13
 
9.8%
3 11
 
8.3%
5 10
 
7.6%
0 7
 
5.3%
6 6
 
4.5%
9 6
 
4.5%
8 5
 
3.8%
Space Separator
ValueCountFrequency (%)
89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 306
55.5%
Common 245
44.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 60
19.6%
대 40
13.1%
역 30
9.8%
시 30
9.8%
광 30
9.8%
중 30
9.8%
동 29
9.5%
가 9
 
2.9%
산 9
 
2.9%
봉 6
 
2.0%
Other values (15) 33
10.8%
Common
ValueCountFrequency (%)
89
36.3%
1 38
15.5%
- 24
 
9.8%
2 22
 
9.0%
4 14
 
5.7%
7 13
 
5.3%
3 11
 
4.5%
5 10
 
4.1%
0 7
 
2.9%
6 6
 
2.4%
Other values (2) 11
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 306
55.5%
ASCII 245
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
36.3%
1 38
15.5%
- 24
 
9.8%
2 22
 
9.0%
4 14
 
5.7%
7 13
 
5.3%
3 11
 
4.5%
5 10
 
4.1%
0 7
 
2.9%
6 6
 
2.4%
Other values (2) 11
 
4.5%
Hangul
ValueCountFrequency (%)
구 60
19.6%
대 40
13.1%
역 30
9.8%
시 30
9.8%
광 30
9.8%
중 30
9.8%
동 29
9.5%
가 9
 
2.9%
산 9
 
2.9%
봉 6
 
2.0%
Other values (15) 33
10.8%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
대구광역시 중구청
30 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 중구청 30
100.0%

Length

2024-04-21T17:33:59.534622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:33:59.694483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 30
50.0%
중구청 30
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
053-661-2473
30 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-661-2473
2nd row053-661-2473
3rd row053-661-2473
4th row053-661-2473
5th row053-661-2473

Common Values

ValueCountFrequency (%)
053-661-2473 30
100.0%

Length

2024-04-21T17:33:59.863336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:34:00.045147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-661-2473 30
100.0%

위도
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.866823
Minimum35.85676
Maximum35.877904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-04-21T17:34:00.348758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.85676
5-th percentile35.859118
Q135.86311
median35.867344
Q335.869811
95-th percentile35.874326
Maximum35.877904
Range0.021144555
Interquartile range (IQR)0.0067008424

Descriptive statistics

Standard deviation0.0050644192
Coefficient of variation (CV)0.00014120066
Kurtosis-0.36995008
Mean35.866823
Median Absolute Deviation (MAD)0.0030513288
Skewness0.045132541
Sum1076.0047
Variance2.5648342 × 10-5
MonotonicityNot monotonic
2024-04-21T17:34:00.714828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
35.869447 1
 
3.3%
35.8693932334 1
 
3.3%
35.8648922998 1
 
3.3%
35.8567598 1
 
3.3%
35.8692709 1
 
3.3%
35.868832252 1
 
3.3%
35.865572 1
 
3.3%
35.858149 1
 
3.3%
35.8615449078 1
 
3.3%
35.872915 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
35.8567598 1
3.3%
35.858149 1
3.3%
35.8603028791 1
3.3%
35.861048 1
3.3%
35.8615449078 1
3.3%
35.861837 1
3.3%
35.8619317 1
3.3%
35.8630140705 1
3.3%
35.8633974189 1
3.3%
35.864077 1
3.3%
ValueCountFrequency (%)
35.8779043552 1
3.3%
35.875203 1
3.3%
35.8732546 1
3.3%
35.872915 1
3.3%
35.8726754822 1
3.3%
35.8701796577 1
3.3%
35.8699364 1
3.3%
35.869932 1
3.3%
35.869447 1
3.3%
35.8693932334 1
3.3%

경도
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.59287
Minimum128.57635
Maximum128.61228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-04-21T17:34:01.077093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.57635
5-th percentile128.5788
Q1128.58489
median128.59222
Q3128.59803
95-th percentile128.6077
Maximum128.61228
Range0.035930895
Interquartile range (IQR)0.0131404

Descriptive statistics

Standard deviation0.009687708
Coefficient of variation (CV)7.533628 × 10-5
Kurtosis-0.73423231
Mean128.59287
Median Absolute Deviation (MAD)0.0066817
Skewness0.055937201
Sum3857.786
Variance9.3851687 × 10-5
MonotonicityNot monotonic
2024-04-21T17:34:01.486577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
128.580766 1
 
3.3%
128.5798557 1
 
3.3%
128.601258 1
 
3.3%
128.597924811 1
 
3.3%
128.5980362 1
 
3.3%
128.6122807469 1
 
3.3%
128.5763498523 1
 
3.3%
128.599763 1
 
3.3%
128.6043643 1
 
3.3%
128.5927427 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
128.5763498523 1
3.3%
128.5784309 1
3.3%
128.5792519402 1
3.3%
128.5798557 1
3.3%
128.580766 1
3.3%
128.5809040076 1
3.3%
128.5825213939 1
3.3%
128.583335 1
3.3%
128.589538 1
3.3%
128.5901125 1
3.3%
ValueCountFrequency (%)
128.6122807469 1
3.3%
128.6089583 1
3.3%
128.6061572239 1
3.3%
128.6060079 1
3.3%
128.6043643 1
3.3%
128.601258 1
3.3%
128.599763 1
3.3%
128.5980362 1
3.3%
128.597996 1
3.3%
128.597924811 1
3.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
2019-06-20
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-06-20
2nd row2019-06-20
3rd row2019-06-20
4th row2019-06-20
5th row2019-06-20

Common Values

ValueCountFrequency (%)
2019-06-20 30
100.0%

Length

2024-04-21T17:34:01.896194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:34:02.196972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-06-20 30
100.0%

Interactions

2024-04-21T17:33:49.440080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T17:33:48.969476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T17:33:49.678878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T17:33:49.186430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T17:34:02.381946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치장소명설치장소상세설치시설구분서비스제공사명설치년월소재지도로명주소소재지지번주소위도경도
설치장소명1.0001.0001.0001.0001.0001.0001.0001.0001.000
설치장소상세1.0001.0001.0000.0000.9511.0001.0000.7370.228
설치시설구분1.0001.0001.0000.1240.5591.0001.0000.0000.211
서비스제공사명1.0000.0000.1241.0000.2051.0001.0000.0000.000
설치년월1.0000.9510.5590.2051.0001.0001.0000.3880.343
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
위도1.0000.7370.0000.0000.3881.0001.0001.0000.549
경도1.0000.2280.2110.0000.3431.0001.0000.5491.000
2024-04-21T17:34:02.678193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치시설구분서비스제공사명설치년월
설치시설구분1.0000.0970.365
서비스제공사명0.0971.0000.327
설치년월0.3650.3271.000
2024-04-21T17:34:02.929792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치시설구분서비스제공사명설치년월
위도1.000-0.2340.0000.0000.231
경도-0.2341.0000.0000.0000.242
설치시설구분0.0000.0001.0000.0970.365
서비스제공사명0.0000.0000.0971.0000.327
설치년월0.2310.2420.3650.3271.000

Missing values

2024-04-21T17:33:50.068372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T17:33:50.674838image/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

설치장소명설치장소상세설치시도명설치시군구명설치시설구분서비스제공사명와이파이SSID설치년월소재지도로명주소소재지지번주소관리기관명관리기관전화번호위도경도데이터기준일자
0서문시장 제4지구상가통로대구광역시중구기타LG U+Public WiFi Free2016-10대구광역시 중구 큰장로28길 28(대신동)대구광역시 중구 대신동115-377대구광역시 중구청053-661-247335.869447128.5807662019-06-20
1서문시장 제5지구상가통로대구광역시중구기타SKTPublic WiFi Free2016-10대구광역시 중구 큰장로26길6대구광역시 중구 대신동 115-400대구광역시 중구청053-661-247335.868052128.5784312019-06-20
2남문시장상가통로 및 옥상대구광역시중구기타SKTPublic WiFi Free2016-10대구광역시 중구 명륜로 70대구광역시 중구 남산동 698-22대구광역시 중구청053-661-247335.861048128.5919672019-06-20
3교동시장상가통로 및 옥상대구광역시중구기타LG U+Public WiFi Free2016-10대구광역시 중구 교동길 40대구광역시 중구 교동 67-12대구광역시 중구청053-661-247335.873255128.5967892019-06-20
4서문시장 명품프라자 상가상가 통로대구광역시중구기타KTPublic WiFi Free2016-10대구광역시 중구 큰장로28길 27대구광역시 중구 대신동 115-112대구광역시 중구청053-661-247335.869936128.5809042019-06-20
5중구보건소로비, 민원실대구광역시중구관공서KTPublic WiFi Free2016-10대구광역시 중구 태평로 45대구광역시 중구 태평로3가 174-1대구광역시 중구청053-661-247335.877904128.5833352019-06-20
6남산기독교종합사회복지관사무실 및 강당대구광역시중구서민·복지시설LG U+Public WiFi Free2016-10대구광역시 중구 관덕정길16대구광역시 중구 남산동 941-1대구광역시 중구청053-661-247335.86504128.5905652019-06-20
7남산종합사회복지관대강당, 복도, 공부방 앞대구광역시중구서민·복지시설LG U+Public WiFi Free2016-10대구광역시 중구 남산로7길 80대구광역시 중구 남산동 2482-1대구광역시 중구청053-661-247335.860303128.5792522019-06-20
8가톨릭근로자회관노숙인쉼터쉼터출입구 천정대구광역시중구서민·복지시설LG U+Public WiFi Free2016-10대구광역시 중구 중앙대로77길 40대구광역시 중구 종로2가 35대구광역시 중구청053-661-247335.868614128.5914922019-06-20
9중구 청소년문화의 집출입구, 복도, 대강당대구광역시중구서민·복지시설LG U+Public WiFi Free2016-10대구광역시 중구 봉산문화길 40대구광역시 중구 봉산동 223-20대구광역시 중구청053-661-247335.861932128.5979962019-06-20
설치장소명설치장소상세설치시도명설치시군구명설치시설구분서비스제공사명와이파이SSID설치년월소재지도로명주소소재지지번주소관리기관명관리기관전화번호위도경도데이터기준일자
20대구청소년지원재단재단내대구광역시중구서민·복지시설KTPublic WiFi Free2016-11대구광역시 중구 중앙대로81길 66-5대구광역시 중구 종로1가 83-1대구광역시 중구청053-661-247335.869932128.5901132019-06-20
21경상감영공원공원 주차장 출입계단대구광역시중구기타LG U+Public WiFi Free2016-11대구광역시 중구 경상감영길 99대구광역시 중구 포정동 21대구광역시 중구청053-661-247335.872675128.5916852019-06-20
22대구중구노인상담소상담소 내대구광역시중구서민·복지시설LG U+Public WiFi Free2016-11대구광역시 중구 경상감영1길 43(대안동)대구광역시 중구 대안동 10-4대구광역시 중구청053-661-247335.872915128.5927432019-06-20
23대봉1동주민센터주민센터 내 민원실대구광역시중구관공서LG U+Public WiFi Free2016-11대구광역시 중구 달구벌대로440길 27대구광역시 중구 대봉동 19-17대구광역시 중구청053-661-247335.861545128.6043642019-06-20
24대봉2동주민센터주민센터 내 민원실대구광역시중구관공서LG U+Public WiFi Free2016-11대구광역시 중구 대봉로45길 29대구광역시 중구 대봉동 152-7대구광역시 중구청053-661-247335.858149128.5997632019-06-20
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