Overview

Dataset statistics

Number of variables15
Number of observations43
Missing cells84
Missing cells (%)13.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory125.1 B

Variable types

Text4
Categorical7
DateTime2
Numeric2

Dataset

Description대구광역시_북구_무료와이파이_20191206
Author대구광역시 북구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15013116&dataSetDetailId=150131161ebc233e310ff_201912061739&provdMethod=FILE

Alerts

설치시도명 has constant value ""Constant
설치시군구명 has constant value ""Constant
와이파이SSID has constant value ""Constant
설치년월 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
관리기관전화번호 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
서비스제공사명 is highly overall correlated with 설치장소상세 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 위도High correlation
설치장소상세 is highly overall correlated with 설치시설구분 and 2 other fieldsHigh correlation
설치시설구분 is highly overall correlated with 설치장소상세High correlation
관리기관전화번호 is highly imbalanced (84.1%)Imbalance
와이파이SSID has 42 (97.7%) missing valuesMissing
설치년월 has 42 (97.7%) missing valuesMissing
설치장소명 has unique valuesUnique

Reproduction

Analysis started2023-09-29 01:24:59.490293
Analysis finished2023-09-29 01:25:06.589947
Duration7.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치장소명
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-09-29T01:25:06.942190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.4418605
Min length4

Characters and Unicode

Total characters320
Distinct characters86
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

Unique43 ?
Unique (%)100.0%

Sample

1st row강북노인복지관
2nd row강북보건지소
3rd row강북장애인주간보호센터
4th row검단동주민센터
5th row고성동 주민센터
ValueCountFrequency (%)
주민센터 7
 
12.7%
칠성시장 4
 
7.3%
분소 1
 
1.8%
북구보건소 1
 
1.8%
산격1동주민센터 1
 
1.8%
산격2동주민센터 1
 
1.8%
산격3동주민센터 1
 
1.8%
산격4동주민센터 1
 
1.8%
성림효사랑 1
 
1.8%
실버타운 1
 
1.8%
Other values (36) 36
65.5%
2023-09-29T01:25:08.627774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 22
 
6.9%
터 21
 
6.6%
센 21
 
6.6%
주 21
 
6.6%
민 19
 
5.9%
장 13
 
4.1%
12
 
3.8%
시 11
 
3.4%
성 9
 
2.8%
관 8
 
2.5%
Other values (76) 163
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 290
90.6%
Space Separator 12
 
3.8%
Decimal Number 10
 
3.1%
Open Punctuation 4
 
1.2%
Close Punctuation 4
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 22
 
7.6%
터 21
 
7.2%
센 21
 
7.2%
주 21
 
7.2%
민 19
 
6.6%
장 13
 
4.5%
시 11
 
3.8%
성 9
 
3.1%
관 8
 
2.8%
산 8
 
2.8%
Other values (69) 137
47.2%
Decimal Number
ValueCountFrequency (%)
2 4
40.0%
1 3
30.0%
3 2
20.0%
4 1
 
10.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 290
90.6%
Common 30
 
9.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 22
 
7.6%
터 21
 
7.2%
센 21
 
7.2%
주 21
 
7.2%
민 19
 
6.6%
장 13
 
4.5%
시 11
 
3.8%
성 9
 
3.1%
관 8
 
2.8%
산 8
 
2.8%
Other values (69) 137
47.2%
Common
ValueCountFrequency (%)
12
40.0%
( 4
 
13.3%
) 4
 
13.3%
2 4
 
13.3%
1 3
 
10.0%
3 2
 
6.7%
4 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 290
90.6%
ASCII 30
 
9.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 22
 
7.6%
터 21
 
7.2%
센 21
 
7.2%
주 21
 
7.2%
민 19
 
6.6%
장 13
 
4.5%
시 11
 
3.8%
성 9
 
3.1%
관 8
 
2.8%
산 8
 
2.8%
Other values (69) 137
47.2%
ASCII
ValueCountFrequency (%)
12
40.0%
( 4
 
13.3%
) 4
 
13.3%
2 4
 
13.3%
1 3
 
10.0%
3 2
 
6.7%
4 1
 
3.3%

설치장소상세
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Memory size476.0 B
민원실
23 
건물 내
5 
칠성시장 일대
5 
복지관내
3 
관음시장 일대
 
1
Other values (6)
6 

Length

Max length9
Median length3
Mean length4.4186047
Min length3

Unique

Unique7 ?
Unique (%)16.3%

Sample

1st row복지관내
2nd row민원실
3rd row건물 내
4th row민원실
5th row민원실

Common Values

ValueCountFrequency (%)
민원실 23
53.5%
건물 내 5
 
11.6%
칠성시장 일대 5
 
11.6%
복지관내 3
 
7.0%
관음시장 일대 1
 
2.3%
산격종합시장 일대 1
 
2.3%
서변중앙시장 일대 1
 
2.3%
팔달신시장 일대 1
 
2.3%
동대구시장 일대 1
 
2.3%
태전중앙시장 일대 1
 
2.3%

Length

2023-09-29T01:25:09.190966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
민원실 23
38.3%
일대 11
18.3%
내 6
 
10.0%
건물 5
 
8.3%
칠성시장 5
 
8.3%
복지관내 3
 
5.0%
관음시장 1
 
1.7%
산격종합시장 1
 
1.7%
서변중앙시장 1
 
1.7%
팔달신시장 1
 
1.7%
Other values (3) 3
 
5.0%

설치시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
대구광역시
43 

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 43
100.0%

Length

2023-09-29T01:25:09.907478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:25:10.510571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 43
100.0%

설치시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
북구
43 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북구 43
100.0%

Length

2023-09-29T01:25:11.181687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:25:11.742984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 43
100.0%

설치시설구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
관공서
23 
편의시설
11 
서민·복지시설
9 

Length

Max length7
Median length3
Mean length4.0930233
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관공서 23
53.5%
편의시설 11
25.6%
서민·복지시설 9
 
20.9%

Length

2023-09-29T01:25:12.434119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:25:13.078012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관공서 23
53.5%
편의시설 11
25.6%
서민·복지시설 9
 
20.9%

서비스제공사명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
KT
28 
SKT
11 
LGU+
3 
KT(구청 자체 설치)
 
1

Length

Max length12
Median length2
Mean length2.627907
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
KT 28
65.1%
SKT 11
 
25.6%
LGU+ 3
 
7.0%
KT(구청 자체 설치) 1
 
2.3%

Length

2023-09-29T01:25:13.925876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:25:14.911480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kt 28
62.2%
skt 11
 
24.4%
lgu 3
 
6.7%
kt(구청 1
 
2.2%
자체 1
 
2.2%
설치 1
 
2.2%

와이파이SSID
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing42
Missing (%)97.7%
Memory size476.0 B
2023-09-29T01:25:15.577210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row행복북구
ValueCountFrequency (%)
행복북구 1
100.0%
2023-09-29T01:25:17.382924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
행 1
25.0%
복 1
25.0%
북 1
25.0%
구 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
행 1
25.0%
복 1
25.0%
북 1
25.0%
구 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
행 1
25.0%
복 1
25.0%
북 1
25.0%
구 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
행 1
25.0%
복 1
25.0%
북 1
25.0%
구 1
25.0%

설치년월
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing42
Missing (%)97.7%
Memory size476.0 B
Minimum2017-04-01 00:00:00
Maximum2017-04-01 00:00:00
2023-09-29T01:25:18.714892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-29T01:25:19.764081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

소재지도로명주소
Text

Distinct39
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-09-29T01:25:20.557039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length18.790698
Min length15

Characters and Unicode

Total characters808
Distinct characters65
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

Unique37 ?
Unique (%)86.0%

Sample

1st row대구광역시 북구 칠곡중앙대로 91길 21
2nd row대구광역시 북구 대천로 81
3rd row대구광역시 북구 구암로42길 7
4th row대구광역시 북구 검단동로4길 16-2
5th row대구광역시 북구 고성로31길 21
ValueCountFrequency (%)
대구광역시 43
23.8%
북구 43
23.8%
34 6
 
3.3%
칠성시장로 4
 
2.2%
칠곡중앙대로 3
 
1.7%
관음동 2
 
1.1%
산격동 2
 
1.1%
성북로 2
 
1.1%
25 2
 
1.1%
30 2
 
1.1%
Other values (68) 72
39.8%
2023-09-29T01:25:22.382673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138
17.1%
구 89
 
11.0%
대 54
 
6.7%
북 47
 
5.8%
시 47
 
5.8%
로 43
 
5.3%
역 43
 
5.3%
광 43
 
5.3%
1 29
 
3.6%
길 20
 
2.5%
Other values (55) 255
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 507
62.7%
Decimal Number 139
 
17.2%
Space Separator 138
 
17.1%
Open Punctuation 8
 
1.0%
Close Punctuation 8
 
1.0%
Dash Punctuation 8
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 89
17.6%
대 54
10.7%
북 47
9.3%
시 47
9.3%
로 43
8.5%
역 43
8.5%
광 43
8.5%
길 20
 
3.9%
동 16
 
3.2%
칠 8
 
1.6%
Other values (41) 97
19.1%
Decimal Number
ValueCountFrequency (%)
1 29
20.9%
3 18
12.9%
2 18
12.9%
4 15
10.8%
5 14
10.1%
8 12
8.6%
0 9
 
6.5%
7 8
 
5.8%
9 8
 
5.8%
6 8
 
5.8%
Space Separator
ValueCountFrequency (%)
138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 507
62.7%
Common 301
37.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 89
17.6%
대 54
10.7%
북 47
9.3%
시 47
9.3%
로 43
8.5%
역 43
8.5%
광 43
8.5%
길 20
 
3.9%
동 16
 
3.2%
칠 8
 
1.6%
Other values (41) 97
19.1%
Common
ValueCountFrequency (%)
138
45.8%
1 29
 
9.6%
3 18
 
6.0%
2 18
 
6.0%
4 15
 
5.0%
5 14
 
4.7%
8 12
 
4.0%
0 9
 
3.0%
7 8
 
2.7%
( 8
 
2.7%
Other values (4) 32
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 507
62.7%
ASCII 301
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
138
45.8%
1 29
 
9.6%
3 18
 
6.0%
2 18
 
6.0%
4 15
 
5.0%
5 14
 
4.7%
8 12
 
4.0%
0 9
 
3.0%
7 8
 
2.7%
( 8
 
2.7%
Other values (4) 32
 
10.6%
Hangul
ValueCountFrequency (%)
구 89
17.6%
대 54
10.7%
북 47
9.3%
시 47
9.3%
로 43
8.5%
역 43
8.5%
광 43
8.5%
길 20
 
3.9%
동 16
 
3.2%
칠 8
 
1.6%
Other values (41) 97
19.1%

소재지지번주소
Text

Distinct39
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-09-29T01:25:23.781600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length18.27907
Min length16

Characters and Unicode

Total characters786
Distinct characters48
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

Unique37 ?
Unique (%)86.0%

Sample

1st row대구광역시 북구 관음동 1372
2nd row대구광역시 북구 동천동 930-2
3rd row대구광역시 북구 구암동 450-1
4th row대구광역시 북구 검단동 1266-1
5th row대구광역시 북구 고성동3가 6-270
ValueCountFrequency (%)
대구광역시 43
25.0%
북구 43
25.0%
산격동 6
 
3.5%
침산동 5
 
2.9%
칠성동1가 4
 
2.3%
276-102 4
 
2.3%
태전동 4
 
2.3%
관음동 4
 
2.3%
대현동 3
 
1.7%
복현동 3
 
1.7%
Other values (50) 53
30.8%
2023-09-29T01:25:26.135190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
129
16.4%
구 88
 
11.2%
대 46
 
5.9%
동 45
 
5.7%
1 44
 
5.6%
광 43
 
5.5%
역 43
 
5.5%
시 43
 
5.5%
북 43
 
5.5%
- 30
 
3.8%
Other values (38) 232
29.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 438
55.7%
Decimal Number 189
24.0%
Space Separator 129
 
16.4%
Dash Punctuation 30
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 88
20.1%
대 46
10.5%
동 45
10.3%
광 43
9.8%
역 43
9.8%
시 43
9.8%
북 43
9.8%
산 12
 
2.7%
가 7
 
1.6%
현 6
 
1.4%
Other values (26) 62
14.2%
Decimal Number
ValueCountFrequency (%)
1 44
23.3%
2 29
15.3%
0 19
10.1%
5 18
9.5%
3 17
 
9.0%
7 16
 
8.5%
6 16
 
8.5%
4 13
 
6.9%
8 10
 
5.3%
9 7
 
3.7%
Space Separator
ValueCountFrequency (%)
129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 438
55.7%
Common 348
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 88
20.1%
대 46
10.5%
동 45
10.3%
광 43
9.8%
역 43
9.8%
시 43
9.8%
북 43
9.8%
산 12
 
2.7%
가 7
 
1.6%
현 6
 
1.4%
Other values (26) 62
14.2%
Common
ValueCountFrequency (%)
129
37.1%
1 44
 
12.6%
- 30
 
8.6%
2 29
 
8.3%
0 19
 
5.5%
5 18
 
5.2%
3 17
 
4.9%
7 16
 
4.6%
6 16
 
4.6%
4 13
 
3.7%
Other values (2) 17
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 438
55.7%
ASCII 348
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
129
37.1%
1 44
 
12.6%
- 30
 
8.6%
2 29
 
8.3%
0 19
 
5.5%
5 18
 
5.2%
3 17
 
4.9%
7 16
 
4.6%
6 16
 
4.6%
4 13
 
3.7%
Other values (2) 17
 
4.9%
Hangul
ValueCountFrequency (%)
구 88
20.1%
대 46
10.5%
동 45
10.3%
광 43
9.8%
역 43
9.8%
시 43
9.8%
북 43
9.8%
산 12
 
2.7%
가 7
 
1.6%
현 6
 
1.4%
Other values (26) 62
14.2%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
대구광역시 북구청
43 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 북구청 43
100.0%

Length

2023-09-29T01:25:28.184855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:25:28.945387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 43
50.0%
북구청 43
50.0%

관리기관전화번호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
053-665-2477
42 
000-0000-0000
 
1

Length

Max length13
Median length12
Mean length12.023256
Min length12

Unique

Unique1 ?
Unique (%)2.3%

Sample

1st row053-665-2477
2nd row053-665-2477
3rd row053-665-2477
4th row053-665-2477
5th row053-665-2477

Common Values

ValueCountFrequency (%)
053-665-2477 42
97.7%
000-0000-0000 1
 
2.3%

Length

2023-09-29T01:25:29.600306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:25:30.471294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-665-2477 42
97.7%
000-0000-0000 1
 
2.3%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.906839
Minimum35.87724
Maximum35.948016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-09-29T01:25:31.171373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.87724
5-th percentile35.87724
Q135.890233
median35.898667
Q335.92746
95-th percentile35.944105
Maximum35.948016
Range0.070776
Interquartile range (IQR)0.037227

Descriptive statistics

Standard deviation0.022894963
Coefficient of variation (CV)0.00063762123
Kurtosis-1.2388264
Mean35.906839
Median Absolute Deviation (MAD)0.016758
Skewness0.44162962
Sum1543.9941
Variance0.00052417931
MonotonicityNot monotonic
2023-09-29T01:25:31.931071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
35.87724 4
 
9.3%
35.937318 2
 
4.7%
35.895354 1
 
2.3%
35.89187 1
 
2.3%
35.892619 1
 
2.3%
35.901732 1
 
2.3%
35.893546 1
 
2.3%
35.892233 1
 
2.3%
35.88564 1
 
2.3%
35.893048 1
 
2.3%
Other values (29) 29
67.4%
ValueCountFrequency (%)
35.87724 4
9.3%
35.881182 1
 
2.3%
35.881629 1
 
2.3%
35.881909 1
 
2.3%
35.88564 1
 
2.3%
35.885724 1
 
2.3%
35.887264 1
 
2.3%
35.890138 1
 
2.3%
35.890328 1
 
2.3%
35.890704 1
 
2.3%
ValueCountFrequency (%)
35.948016 1
2.3%
35.944911 1
2.3%
35.944241 1
2.3%
35.942882 1
2.3%
35.942375 1
2.3%
35.937826 1
2.3%
35.937318 2
4.7%
35.936239 1
2.3%
35.931636 1
2.3%
35.930827 1
2.3%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.5826
Minimum128.54304
Maximum128.63011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-09-29T01:25:32.665073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.54304
5-th percentile128.54496
Q1128.55819
median128.58359
Q3128.60396
95-th percentile128.62464
Maximum128.63011
Range0.087065
Interquartile range (IQR)0.045779

Descriptive statistics

Standard deviation0.026746364
Coefficient of variation (CV)0.0002080092
Kurtosis-1.2768796
Mean128.5826
Median Absolute Deviation (MAD)0.020815
Skewness-0.071701642
Sum5529.0518
Variance0.00071536799
MonotonicityNot monotonic
2023-09-29T01:25:33.193095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
128.603964 4
 
9.3%
128.558185 2
 
4.7%
128.625494 1
 
2.3%
128.588902 1
 
2.3%
128.594664 1
 
2.3%
128.609253 1
 
2.3%
128.608312 1
 
2.3%
128.604311 1
 
2.3%
128.60259 1
 
2.3%
128.630107 1
 
2.3%
Other values (29) 29
67.4%
ValueCountFrequency (%)
128.543042 1
2.3%
128.543332 1
2.3%
128.544899 1
2.3%
128.545502 1
2.3%
128.546161 1
2.3%
128.546699 1
2.3%
128.547226 1
2.3%
128.547333 1
2.3%
128.548768 1
2.3%
128.551112 1
2.3%
ValueCountFrequency (%)
128.630107 1
2.3%
128.627305 1
2.3%
128.625494 1
2.3%
128.61692 1
2.3%
128.610528 1
2.3%
128.609253 1
2.3%
128.608952 1
2.3%
128.608312 1
2.3%
128.605229 1
2.3%
128.604311 1
2.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum2019-12-06 00:00:00
Maximum2019-12-06 00:00:00
2023-09-29T01:25:33.924013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-29T01:25:34.627032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-09-29T01:25:02.492485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-29T01:25:01.379897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-29T01:25:03.202691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-29T01:25:01.976698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-09-29T01:25:34.977855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치장소명설치장소상세설치시설구분서비스제공사명소재지도로명주소소재지지번주소관리기관전화번호위도경도
설치장소명1.0001.0001.0001.0001.0001.0001.0001.0001.000
설치장소상세1.0001.0001.0000.8751.0001.0001.0000.3850.000
설치시설구분1.0001.0001.0000.4091.0001.0000.1290.4850.432
서비스제공사명1.0000.8750.4091.0001.0001.0001.0000.5320.246
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
관리기관전화번호1.0001.0000.1291.0001.0001.0001.0000.7550.000
위도1.0000.3850.4850.5321.0001.0000.7551.0000.856
경도1.0000.0000.4320.2461.0001.0000.0000.8561.000
2023-09-29T01:25:35.877859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치시설구분관리기관전화번호설치장소상세서비스제공사명
설치시설구분1.0000.2080.8940.394
관리기관전화번호0.2081.0000.8830.975
설치장소상세0.8940.8831.0000.677
서비스제공사명0.3940.9750.6771.000
2023-09-29T01:25:36.267817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치장소상세설치시설구분서비스제공사명관리기관전화번호
위도1.000-0.5980.1510.2950.3120.530
경도-0.5981.0000.0000.2360.0620.000
설치장소상세0.1510.0001.0000.8940.6770.883
설치시설구분0.2950.2360.8941.0000.3940.208
서비스제공사명0.3120.0620.6770.3941.0000.975
관리기관전화번호0.5300.0000.8830.2080.9751.000

Missing values

2023-09-29T01:25:04.052986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-29T01:25:05.636990image/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.
2023-09-29T01:25:06.200225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

설치장소명설치장소상세설치시도명설치시군구명설치시설구분서비스제공사명와이파이SSID설치년월소재지도로명주소소재지지번주소관리기관명관리기관전화번호위도경도데이터기준일자
0강북노인복지관복지관내대구광역시북구서민·복지시설LGU+<NA><NA>대구광역시 북구 칠곡중앙대로 91길 21대구광역시 북구 관음동 1372대구광역시 북구청053-665-247735.936239128.5466992019-12-06
1강북보건지소민원실대구광역시북구관공서KT<NA><NA>대구광역시 북구 대천로 81대구광역시 북구 동천동 930-2대구광역시 북구청053-665-247735.937318128.5581852019-12-06
2강북장애인주간보호센터건물 내대구광역시북구서민·복지시설SKT<NA><NA>대구광역시 북구 구암로42길 7대구광역시 북구 구암동 450-1대구광역시 북구청053-665-247735.930827128.5628642019-12-06
3검단동주민센터민원실대구광역시북구관공서KT<NA><NA>대구광역시 북구 검단동로4길 16-2대구광역시 북구 검단동 1266-1대구광역시 북구청053-665-247735.913604128.6273052019-12-06
4고성동 주민센터민원실대구광역시북구관공서KT<NA><NA>대구광역시 북구 고성로31길 21대구광역시 북구 고성동3가 6-270대구광역시 북구청053-665-247735.881909128.5835862019-12-06
5관문동 주민센터민원실대구광역시북구관공서KT<NA><NA>대구광역시 북구 매천로18길 34대구광역시 북구 매천동 527-3대구광역시 북구청053-665-247735.902817128.5430422019-12-06
6관문동주민센터(노곡분소)민원실대구광역시북구관공서SKT<NA><NA>대구광역시 북구 노곡로 25 (노곡동)대구광역시 북구 노곡동 318대구광역시 북구청053-665-247735.906434128.5627712019-12-06
7관음동 주민센터민원실대구광역시북구관공서KT<NA><NA>대구광역시 북구 관음동로 125대구광역시 북구 관음동 1284-10대구광역시 북구청053-665-247735.944241128.5473332019-12-06
8관음시장관음시장 일대대구광역시북구편의시설SKT<NA><NA>대구광역시 북구 관음중앙로28길 1 (관음동)대구광역시 북구 관음동 1284대구광역시 북구청053-665-247735.944911128.5472262019-12-06
9국우동 주민센터민원실대구광역시북구관공서KT<NA><NA>대구광역시 북구 구리로 188대구광역시 북구 국우동 1109-5대구광역시 북구청053-665-247735.948016128.5754052019-12-06
설치장소명설치장소상세설치시도명설치시군구명설치시설구분서비스제공사명와이파이SSID설치년월소재지도로명주소소재지지번주소관리기관명관리기관전화번호위도경도데이터기준일자
33칠성시장 (청과)칠성시장 일대대구광역시북구편의시설KT<NA><NA>대구광역시 북구 칠성시장로 34대구광역시 북구 칠성동1가 276-102대구광역시 북구청053-665-247735.87724128.6039642019-12-06
34칠성시장 (경명)칠성시장 일대대구광역시북구편의시설KT<NA><NA>대구광역시 북구 칠성시장로 34대구광역시 북구 칠성동1가 276-102대구광역시 북구청053-665-247735.87724128.6039642019-12-06
35침산1동주민센터민원실대구광역시북구관공서KT<NA><NA>대구광역시 북구 침산남로13길 16대구광역시 북구 침산동 1660-4대구광역시 북구청053-665-247735.890328128.5812792019-12-06
36침산2동 주민센터민원실대구광역시북구관공서KT<NA><NA>대구광역시 북구 침산남로 195대구광역시 북구 침산동 5-1대구광역시 북구청053-665-247735.887264128.5969932019-12-06
37침산3동주민센터민원실대구광역시북구관공서KT<NA><NA>대구광역시 북구 성북로 55대구광역시 북구 침산동 521-5대구광역시 북구청053-665-247735.89203128.5893492019-12-06
38태전1동주민센터민원실대구광역시북구관공서KT<NA><NA>대구광역시 북구 태전로7길 10-24대구광역시 북구 태전동 255-28대구광역시 북구청053-665-247735.924093128.5433322019-12-06
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