Overview

Dataset statistics

Number of variables15
Number of observations46
Missing cells2
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory124.8 B

Variable types

Text3
Categorical8
DateTime2
Numeric2

Dataset

Description대구광역시_수성구_무료와이파이_20200218
Author대구광역시 수성구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15010041&dataSetDetailId=150100411b8169ea256f7&provdMethod=FILE

Alerts

설치시도명 has constant value ""Constant
설치시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
설치장소상세 is highly overall correlated with 설치시설구분 and 2 other fieldsHigh correlation
설치시설구분 is highly overall correlated with 설치장소상세 and 4 other fieldsHigh correlation
관리기관전화번호 is highly overall correlated with 설치시설구분 and 3 other fieldsHigh correlation
서비스제공사명 is highly overall correlated with 설치시설구분 and 3 other fieldsHigh correlation
관리기관명 is highly overall correlated with 설치장소상세 and 4 other fieldsHigh correlation
와이파이SSID is highly overall correlated with 설치장소상세 and 4 other fieldsHigh correlation
관리기관명 is highly imbalanced (52.9%)Imbalance
소재지도로명주소 has 2 (4.3%) missing valuesMissing
설치장소명 has unique valuesUnique

Reproduction

Analysis started2024-04-20 14:42:13.393761
Analysis finished2024-04-20 14:42:16.306552
Duration2.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치장소명
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size496.0 B
2024-04-20T23:42:16.952543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.9782609
Min length3

Characters and Unicode

Total characters321
Distinct characters79
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row대구장애인종합복지관
2nd row애활원
3rd row황금시장
4th row노인종합복지회관
5th rowSOS아동보호센터
ValueCountFrequency (%)
행정복지센터 8
 
14.3%
수성구청 2
 
3.6%
대구장애인종합복지관 1
 
1.8%
범어3동 1
 
1.8%
지산공원 1
 
1.8%
신천시장 1
 
1.8%
수성시장 1
 
1.8%
태백시장 1
 
1.8%
목련모자원 1
 
1.8%
고산권보건복지센터 1
 
1.8%
Other values (38) 38
67.9%
2024-04-20T23:42:18.021811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 23
 
7.2%
센 21
 
6.5%
터 21
 
6.5%
지 13
 
4.0%
민 12
 
3.7%
복 11
 
3.4%
성 11
 
3.4%
주 11
 
3.4%
장 10
 
3.1%
원 10
 
3.1%
Other values (69) 178
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 292
91.0%
Decimal Number 16
 
5.0%
Space Separator 10
 
3.1%
Uppercase Letter 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 23
 
7.9%
센 21
 
7.2%
터 21
 
7.2%
지 13
 
4.5%
민 12
 
4.1%
복 11
 
3.8%
성 11
 
3.8%
주 11
 
3.8%
장 10
 
3.4%
원 10
 
3.4%
Other values (62) 149
51.0%
Decimal Number
ValueCountFrequency (%)
2 6
37.5%
3 4
25.0%
1 4
25.0%
4 2
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
S 2
66.7%
O 1
33.3%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 292
91.0%
Common 26
 
8.1%
Latin 3
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 23
 
7.9%
센 21
 
7.2%
터 21
 
7.2%
지 13
 
4.5%
민 12
 
4.1%
복 11
 
3.8%
성 11
 
3.8%
주 11
 
3.8%
장 10
 
3.4%
원 10
 
3.4%
Other values (62) 149
51.0%
Common
ValueCountFrequency (%)
10
38.5%
2 6
23.1%
3 4
 
15.4%
1 4
 
15.4%
4 2
 
7.7%
Latin
ValueCountFrequency (%)
S 2
66.7%
O 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 292
91.0%
ASCII 29
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 23
 
7.9%
센 21
 
7.2%
터 21
 
7.2%
지 13
 
4.5%
민 12
 
4.1%
복 11
 
3.8%
성 11
 
3.8%
주 11
 
3.8%
장 10
 
3.4%
원 10
 
3.4%
Other values (62) 149
51.0%
ASCII
ValueCountFrequency (%)
10
34.5%
2 6
20.7%
3 4
 
13.8%
1 4
 
13.8%
4 2
 
6.9%
S 2
 
6.9%
O 1
 
3.4%

설치장소상세
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size496.0 B
민원실
23 
휴게실
9 
시장 입구
7 
공원 내
3 
지역문화시설
 
1
Other values (3)
3 

Length

Max length6
Median length3
Mean length3.5217391
Min length3

Unique

Unique4 ?
Unique (%)8.7%

Sample

1st row휴게실
2nd row휴게실
3rd row시장 입구
4th row휴게실
5th row휴게실

Common Values

ValueCountFrequency (%)
민원실 23
50.0%
휴게실 9
 
19.6%
시장 입구 7
 
15.2%
공원 내 3
 
6.5%
지역문화시설 1
 
2.2%
열람실 1
 
2.2%
운동장 외부 1
 
2.2%
광장 내 1
 
2.2%

Length

2024-04-20T23:42:18.316671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:42:18.523357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민원실 23
39.7%
휴게실 9
 
15.5%
시장 7
 
12.1%
입구 7
 
12.1%
내 4
 
6.9%
공원 3
 
5.2%
지역문화시설 1
 
1.7%
열람실 1
 
1.7%
운동장 1
 
1.7%
외부 1
 
1.7%

설치시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size496.0 B
대구광역시
46 

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 46
100.0%

Length

2024-04-20T23:42:18.859938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:42:19.147895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 46
100.0%

설치시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size496.0 B
수성구
46 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수성구 46
100.0%

Length

2024-04-20T23:42:19.448109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:42:19.738241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수성구 46
100.0%

설치시설구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size496.0 B
관공서
23 
서민·복지시설
18 
기타
4 
지역문화시설
 
1

Length

Max length7
Median length6.5
Mean length4.5434783
Min length2

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row서민·복지시설
2nd row서민·복지시설
3rd row서민·복지시설
4th row서민·복지시설
5th row서민·복지시설

Common Values

ValueCountFrequency (%)
관공서 23
50.0%
서민·복지시설 18
39.1%
기타 4
 
8.7%
지역문화시설 1
 
2.2%

Length

2024-04-20T23:42:20.078850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:42:20.417832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관공서 23
50.0%
서민·복지시설 18
39.1%
기타 4
 
8.7%
지역문화시설 1
 
2.2%

서비스제공사명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size496.0 B
KT
16 
LGU+
13 
SKT
12 
KT, LGU+
5 

Length

Max length8
Median length4
Mean length3.4782609
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLGU+
2nd rowLGU+
3rd rowLGU+
4th rowLGU+
5th rowKT

Common Values

ValueCountFrequency (%)
KT 16
34.8%
LGU+ 13
28.3%
SKT 12
26.1%
KT, LGU+ 5
 
10.9%

Length

2024-04-20T23:42:20.793465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:42:21.156588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kt 21
41.2%
lgu 18
35.3%
skt 12
23.5%

와이파이SSID
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size496.0 B
Public WiFi Free
34 
Public lguplus
7 
에코 프리존
5 

Length

Max length16
Median length16
Mean length14.608696
Min length6

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 34
73.9%
Public lguplus 7
 
15.2%
에코 프리존 5
 
10.9%

Length

2024-04-20T23:42:21.398239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:42:21.566523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
public 41
32.5%
wifi 34
27.0%
free 34
27.0%
lguplus 7
 
5.6%
에코 5
 
4.0%
프리존 5
 
4.0%

설치년월
Date

Distinct6
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size496.0 B
Minimum2013-12-01 00:00:00
Maximum2020-12-01 00:00:00
2024-04-20T23:42:21.728018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:42:21.943646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

소재지도로명주소
Text

MISSING 

Distinct43
Distinct (%)97.7%
Missing2
Missing (%)4.3%
Memory size496.0 B
2024-04-20T23:42:22.782842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length21.454545
Min length16

Characters and Unicode

Total characters944
Distinct characters62
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

Unique42 ?
Unique (%)95.5%

Sample

1st row대구광역시 수성구 파동로51길 26-17(파동)
2nd row대구광역시 수성구 파동로51길 74(파동)
3rd row대구광역시 수성구 희망로 201(황금동)
4th row대구광역시 수성구 청수로35길 47(황금동)
5th row대구광역시 수성구 무열로 171(만촌동)
ValueCountFrequency (%)
대구광역시 44
24.2%
수성구 44
24.2%
달구벌대로 4
 
2.2%
들안로 4
 
2.2%
파동로51길 3
 
1.6%
무열로 2
 
1.1%
성동로 2
 
1.1%
45 2
 
1.1%
범안로 2
 
1.1%
수성로 2
 
1.1%
Other values (72) 73
40.1%
2024-04-20T23:42:24.115447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138
 
14.6%
구 93
 
9.9%
수 54
 
5.7%
성 53
 
5.6%
대 49
 
5.2%
시 45
 
4.8%
광 44
 
4.7%
역 44
 
4.7%
로 44
 
4.7%
동 35
 
3.7%
Other values (52) 345
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 591
62.6%
Decimal Number 157
 
16.6%
Space Separator 138
 
14.6%
Open Punctuation 26
 
2.8%
Close Punctuation 26
 
2.8%
Dash Punctuation 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 93
15.7%
수 54
9.1%
성 53
9.0%
대 49
8.3%
시 45
 
7.6%
광 44
 
7.4%
역 44
 
7.4%
로 44
 
7.4%
동 35
 
5.9%
길 17
 
2.9%
Other values (38) 113
19.1%
Decimal Number
ValueCountFrequency (%)
2 31
19.7%
1 26
16.6%
5 19
12.1%
4 17
10.8%
7 14
8.9%
6 14
8.9%
3 12
 
7.6%
0 9
 
5.7%
9 8
 
5.1%
8 7
 
4.5%
Space Separator
ValueCountFrequency (%)
138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 591
62.6%
Common 353
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 93
15.7%
수 54
9.1%
성 53
9.0%
대 49
8.3%
시 45
 
7.6%
광 44
 
7.4%
역 44
 
7.4%
로 44
 
7.4%
동 35
 
5.9%
길 17
 
2.9%
Other values (38) 113
19.1%
Common
ValueCountFrequency (%)
138
39.1%
2 31
 
8.8%
( 26
 
7.4%
1 26
 
7.4%
) 26
 
7.4%
5 19
 
5.4%
4 17
 
4.8%
7 14
 
4.0%
6 14
 
4.0%
3 12
 
3.4%
Other values (4) 30
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 591
62.6%
ASCII 353
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
138
39.1%
2 31
 
8.8%
( 26
 
7.4%
1 26
 
7.4%
) 26
 
7.4%
5 19
 
5.4%
4 17
 
4.8%
7 14
 
4.0%
6 14
 
4.0%
3 12
 
3.4%
Other values (4) 30
 
8.5%
Hangul
ValueCountFrequency (%)
구 93
15.7%
수 54
9.1%
성 53
9.0%
대 49
8.3%
시 45
 
7.6%
광 44
 
7.4%
역 44
 
7.4%
로 44
 
7.4%
동 35
 
5.9%
길 17
 
2.9%
Other values (38) 113
19.1%

소재지지번주소
Text

Distinct44
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size496.0 B
2024-04-20T23:42:24.979506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length18.847826
Min length15

Characters and Unicode

Total characters867
Distinct characters39
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

Unique42 ?
Unique (%)91.3%

Sample

1st row대구광역시 수성구 파동 1-1
2nd row대구광역시 수성구 파동 13-5
3rd row대구광역시 수성구 황금동 764-1
4th row대구광역시 수성구 황금동 478-4
5th row대구광역시 수성구 만촌동 636-4
ValueCountFrequency (%)
대구광역시 46
25.0%
수성구 46
25.0%
범어동 7
 
3.8%
파동 5
 
2.7%
만촌동 5
 
2.7%
황금동 4
 
2.2%
신매동 3
 
1.6%
범물동 3
 
1.6%
중동 3
 
1.6%
수성동2가 3
 
1.6%
Other values (53) 59
32.1%
2024-04-20T23:42:26.279627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138
15.9%
구 92
 
10.6%
수 53
 
6.1%
성 53
 
6.1%
시 47
 
5.4%
대 46
 
5.3%
동 46
 
5.3%
광 46
 
5.3%
역 46
 
5.3%
1 39
 
4.5%
Other values (29) 261
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 504
58.1%
Decimal Number 187
 
21.6%
Space Separator 138
 
15.9%
Dash Punctuation 38
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 92
18.3%
수 53
10.5%
성 53
10.5%
시 47
9.3%
대 46
9.1%
동 46
9.1%
광 46
9.1%
역 46
9.1%
범 10
 
2.0%
어 7
 
1.4%
Other values (17) 58
11.5%
Decimal Number
ValueCountFrequency (%)
1 39
20.9%
2 28
15.0%
3 26
13.9%
4 24
12.8%
6 17
9.1%
9 13
 
7.0%
5 13
 
7.0%
7 9
 
4.8%
8 9
 
4.8%
0 9
 
4.8%
Space Separator
ValueCountFrequency (%)
138
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 504
58.1%
Common 363
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 92
18.3%
수 53
10.5%
성 53
10.5%
시 47
9.3%
대 46
9.1%
동 46
9.1%
광 46
9.1%
역 46
9.1%
범 10
 
2.0%
어 7
 
1.4%
Other values (17) 58
11.5%
Common
ValueCountFrequency (%)
138
38.0%
1 39
 
10.7%
- 38
 
10.5%
2 28
 
7.7%
3 26
 
7.2%
4 24
 
6.6%
6 17
 
4.7%
9 13
 
3.6%
5 13
 
3.6%
7 9
 
2.5%
Other values (2) 18
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 504
58.1%
ASCII 363
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
138
38.0%
1 39
 
10.7%
- 38
 
10.5%
2 28
 
7.7%
3 26
 
7.2%
4 24
 
6.6%
6 17
 
4.7%
9 13
 
3.6%
5 13
 
3.6%
7 9
 
2.5%
Other values (2) 18
 
5.0%
Hangul
ValueCountFrequency (%)
구 92
18.3%
수 53
10.5%
성 53
10.5%
시 47
9.3%
대 46
9.1%
동 46
9.1%
광 46
9.1%
역 46
9.1%
범 10
 
2.0%
어 7
 
1.4%
Other values (17) 58
11.5%

관리기관명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size496.0 B
한국정보화진흥원
39 
대구시청
5 
수성구청
 
2

Length

Max length8
Median length8
Mean length7.3913043
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국정보화진흥원 39
84.8%
대구시청 5
 
10.9%
수성구청 2
 
4.3%

Length

2024-04-20T23:42:26.519662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:42:26.703667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국정보화진흥원 39
84.8%
대구시청 5
 
10.9%
수성구청 2
 
4.3%

관리기관전화번호
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size496.0 B
1588-9010
14 
1544-8585
13 
080-011-6000
12 
053-803-0114
5 
053-666-2000
2 

Length

Max length12
Median length9
Mean length10.23913
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1544-8585
2nd row1544-8585
3rd row1544-8585
4th row1544-8585
5th row1588-9010

Common Values

ValueCountFrequency (%)
1588-9010 14
30.4%
1544-8585 13
28.3%
080-011-6000 12
26.1%
053-803-0114 5
 
10.9%
053-666-2000 2
 
4.3%

Length

2024-04-20T23:42:26.908559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T23:42:27.400731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1588-9010 14
30.4%
1544-8585 13
28.3%
080-011-6000 12
26.1%
053-803-0114 5
 
10.9%
053-666-2000 2
 
4.3%

위도
Real number (ℝ)

Distinct44
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.8446
Minimum35.815454
Maximum35.873272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 B
2024-04-20T23:42:27.759227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.815454
5-th percentile35.817778
Q135.833367
median35.844639
Q335.857111
95-th percentile35.870028
Maximum35.873272
Range0.057818634
Interquartile range (IQR)0.023744224

Descriptive statistics

Standard deviation0.016259454
Coefficient of variation (CV)0.00045360958
Kurtosis-0.87073247
Mean35.8446
Median Absolute Deviation (MAD)0.012696946
Skewness-0.21739655
Sum1648.8516
Variance0.00026436985
MonotonicityNot monotonic
2024-04-20T23:42:28.188895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
35.8575531916 2
 
4.3%
35.8425618609 2
 
4.3%
35.8269572326 1
 
2.2%
35.8177491996 1
 
2.2%
35.855141 1
 
2.2%
35.8178648076 1
 
2.2%
35.83698958 1
 
2.2%
35.8721894 1
 
2.2%
35.8623066345 1
 
2.2%
35.8632400247 1
 
2.2%
Other values (34) 34
73.9%
ValueCountFrequency (%)
35.8154535661 1
2.2%
35.8175026975 1
2.2%
35.8177491996 1
2.2%
35.8178648076 1
2.2%
35.8184049784 1
2.2%
35.8209345237 1
2.2%
35.822682458 1
2.2%
35.8236194763 1
2.2%
35.8249150577 1
2.2%
35.8269572326 1
2.2%
ValueCountFrequency (%)
35.8732722 1
2.2%
35.8721894 1
2.2%
35.8716768959 1
2.2%
35.8650802 1
2.2%
35.8632400247 1
2.2%
35.862699 1
2.2%
35.8623171086 1
2.2%
35.8623066345 1
2.2%
35.859858546 1
2.2%
35.8581128736 1
2.2%

경도
Real number (ℝ)

Distinct44
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.64086
Minimum128.60695
Maximum128.72443
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size542.0 B
2024-04-20T23:42:28.593737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.60695
5-th percentile128.60897
Q1128.61667
median128.62992
Q3128.64618
95-th percentile128.71276
Maximum128.72443
Range0.11748415
Interquartile range (IQR)0.029504358

Descriptive statistics

Standard deviation0.034869282
Coefficient of variation (CV)0.00027105915
Kurtosis0.62891527
Mean128.64086
Median Absolute Deviation (MAD)0.014360459
Skewness1.3735375
Sum5917.4795
Variance0.0012158668
MonotonicityNot monotonic
2024-04-20T23:42:29.032295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
128.6299364183 2
 
4.3%
128.7244335828 2
 
4.3%
128.6069494376 1
 
2.2%
128.6459750445 1
 
2.2%
128.616753 1
 
2.2%
128.615633 1
 
2.2%
128.712875 1
 
2.2%
128.6390613688 1
 
2.2%
128.63106994 1
 
2.2%
128.624167 1
 
2.2%
Other values (34) 34
73.9%
ValueCountFrequency (%)
128.6069494376 1
2.2%
128.6082896046 1
2.2%
128.608831 1
2.2%
128.6093915003 1
2.2%
128.6110638643 1
2.2%
128.6122124 1
2.2%
128.6123793382 1
2.2%
128.6150908604 1
2.2%
128.615121627 1
2.2%
128.6154835 1
2.2%
ValueCountFrequency (%)
128.7244335828 2
4.3%
128.712875 1
2.2%
128.7123987063 1
2.2%
128.706876 1
2.2%
128.7065779569 1
2.2%
128.7039634541 1
2.2%
128.6951977 1
2.2%
128.6505676674 1
2.2%
128.6472261814 1
2.2%
128.6464542291 1
2.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size496.0 B
Minimum2020-02-18 00:00:00
Maximum2020-02-18 00:00:00
2024-04-20T23:42:29.387387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:42:29.682099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-20T23:42:15.037378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:42:14.480987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:42:15.284614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:42:14.793392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-20T23:42:29.918616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치장소명설치장소상세설치시설구분서비스제공사명와이파이SSID설치년월소재지도로명주소소재지지번주소관리기관명관리기관전화번호위도경도
설치장소명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설치장소상세1.0001.0001.0000.8440.8110.7361.0001.0000.7540.5830.3620.108
설치시설구분1.0001.0001.0000.8780.7050.5491.0001.0000.6690.6140.2150.332
서비스제공사명1.0000.8440.8781.0000.7810.6381.0000.9630.6811.0000.0000.274
와이파이SSID1.0000.8110.7050.7811.0000.9211.0001.0000.9380.8100.0000.462
설치년월1.0000.7360.5490.6380.9211.0001.0000.9750.9720.7540.5520.416
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0000.9631.0000.9751.0001.0001.0000.9671.0001.000
관리기관명1.0000.7540.6690.6810.9380.9721.0001.0001.0001.0000.3890.198
관리기관전화번호1.0000.5830.6141.0000.8100.7541.0000.9671.0001.0000.0000.228
위도1.0000.3620.2150.0000.0000.5521.0001.0000.3890.0001.0000.336
경도1.0000.1080.3320.2740.4620.4161.0001.0000.1980.2280.3361.000
2024-04-20T23:42:30.269149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치장소상세설치시설구분관리기관전화번호서비스제공사명와이파이SSID관리기관명
설치장소상세1.0000.9330.3890.4900.6960.618
설치시설구분0.9331.0000.5350.5460.7330.689
관리기관전화번호0.3890.5351.0000.9880.8140.976
서비스제공사명0.4900.5460.9881.0000.8280.704
와이파이SSID0.6960.7330.8140.8281.0000.694
관리기관명0.6180.6890.9760.7040.6941.000
2024-04-20T23:42:30.458229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치장소상세설치시설구분서비스제공사명와이파이SSID관리기관명관리기관전화번호
위도1.0000.0160.1620.1000.0000.0000.2230.000
경도0.0161.0000.0470.2370.1760.3360.1350.134
설치장소상세0.1620.0471.0000.9330.4900.6960.6180.389
설치시설구분0.1000.2370.9331.0000.5460.7330.6890.535
서비스제공사명0.0000.1760.4900.5461.0000.8280.7040.988
와이파이SSID0.0000.3360.6960.7330.8281.0000.6940.814
관리기관명0.2230.1350.6180.6890.7040.6941.0000.976
관리기관전화번호0.0000.1340.3890.5350.9880.8140.9761.000

Missing values

2024-04-20T23:42:15.652225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-20T23:42:16.176176image/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
0대구장애인종합복지관휴게실대구광역시수성구서민·복지시설LGU+Public WiFi Free2013-12대구광역시 수성구 파동로51길 26-17(파동)대구광역시 수성구 파동 1-1한국정보화진흥원1544-858535.826957128.6069492020-02-18
1애활원휴게실대구광역시수성구서민·복지시설LGU+Public WiFi Free2013-12대구광역시 수성구 파동로51길 74(파동)대구광역시 수성구 파동 13-5한국정보화진흥원1544-858535.822682128.6088312020-02-18
2황금시장시장 입구대구광역시수성구서민·복지시설LGU+Public WiFi Free2013-12대구광역시 수성구 희망로 201(황금동)대구광역시 수성구 황금동 764-1한국정보화진흥원1544-858535.846844128.6208852020-02-18
3노인종합복지회관휴게실대구광역시수성구서민·복지시설LGU+Public WiFi Free2013-12대구광역시 수성구 청수로35길 47(황금동)대구광역시 수성구 황금동 478-4한국정보화진흥원1544-858535.841224128.6299012020-02-18
4SOS아동보호센터휴게실대구광역시수성구서민·복지시설KTPublic WiFi Free2013-12대구광역시 수성구 무열로 171(만촌동)대구광역시 수성구 만촌동 636-4한국정보화진흥원1588-901035.873272128.6464542020-02-18
5수성구청 별관민원실대구광역시수성구관공서KTPublic WiFi Free2013-12대구광역시 수성구 달구벌대로 2450(범어동)대구광역시 수성구 범어동 238-3한국정보화진흥원1588-901035.857553128.6299362020-02-18
6수성구청 본관민원실대구광역시수성구관공서KTPublic WiFi Free2013-12대구광역시 수성구 달구벌대로 2450(범어동)대구광역시 수성구 범어동 238-3한국정보화진흥원1588-901035.857553128.6299362020-02-18
7성림아동원휴게실대구광역시수성구서민·복지시설KTPublic WiFi Free2013-12대구광역시 수성구 성동로 74-16(사월동)대구광역시 수성구 사월동 9한국정보화진흥원1588-901035.842562128.7244342020-02-18
8인제요양원휴게실대구광역시수성구서민·복지시설KTPublic WiFi Free2013-12대구광역시 수성구 신천동로84길 21(수성동4가)대구광역시 수성구 수성동4가 1225-2한국정보화진흥원1588-901035.862317128.6110642020-02-18
9애망요양원휴게실대구광역시수성구서민·복지시설KTPublic WiFi Free2013-12대구광역시 수성구 파동로51길 56(파동)대구광역시 수성구 파동 13한국정보화진흥원1588-901035.823619128.608292020-02-18
설치장소명설치장소상세설치시도명설치시군구명설치시설구분서비스제공사명와이파이SSID설치년월소재지도로명주소소재지지번주소관리기관명관리기관전화번호위도경도데이터기준일자
36범물1동 행정복지센터민원실대구광역시수성구관공서LGU+Public lguplus2020-12대구광역시 수성구 범안로 76대구광역시 수성구 범물동 1321-3한국정보화진흥원1544-858535.817749128.6459752020-02-18
37범물2동 행정복지센터민원실대구광역시수성구관공서LGU+Public lguplus2020-12대구광역시 수성구 범안로 52대구광역시 수성구 범물동 1374-1한국정보화진흥원1544-858535.817503128.6434432020-02-18
38범어4동 행정복지센터민원실대구광역시수성구관공서LGU+Public lguplus2020-12대구광역시 수성구 범어로20길 97대구광역시 수성구 범어동 218-15한국정보화진흥원1544-858535.858113128.6412482020-02-18
39수성4가동 행정복지센터민원실대구광역시수성구관공서LGU+Public lguplus2020-12대구광역시 수성구 들안로67길 64대구광역시 수성구 수성동4가 1027-6한국정보화진흥원1544-858535.862699128.6166462020-02-18
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