Overview

Dataset statistics

Number of variables15
Number of observations58
Missing cells4
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory124.2 B

Variable types

Text3
Categorical10
Numeric2

Dataset

Description대구광역시_남구_무료와이파이_20200320
Author대구광역시 남구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15013116&dataSetDetailId=150131161ec94ee53e4af_202003232126&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
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
설치장소상세 is highly overall correlated with 설치시설구분 and 1 other fieldsHigh correlation
설치시설구분 is highly overall correlated with 설치장소상세High correlation
서비스제공사명 is highly overall correlated with 설치장소상세High correlation
소재지도로명주소 has 4 (6.9%) missing valuesMissing

Reproduction

Analysis started2024-04-20 16:59:23.196330
Analysis finished2024-04-20 16:59:25.954037
Duration2.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치장소명
Text

Distinct57
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size592.0 B
2024-04-21T01:59:26.596221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.1034483
Min length3

Characters and Unicode

Total characters470
Distinct characters128
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)96.6%

Sample

1st row남구 다문화가족지원센터
2nd row남구 보건소
3rd row남구청
4th row대구여성의전화부설성(가정)폭력상담소
5th row대덕문화전당
ValueCountFrequency (%)
롯데리아 3
 
4.2%
대구도시철도3호선 2
 
2.8%
남구 2
 
2.8%
대덕문화전당 2
 
2.8%
남대구우체국 1
 
1.4%
앞산공원 1
 
1.4%
대명역 1
 
1.4%
공중전화3 1
 
1.4%
대명10동행정복지센터 1
 
1.4%
대명11동행정복지센터 1
 
1.4%
Other values (56) 56
78.9%
2024-04-21T01:59:27.893938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 35
 
7.4%
터 21
 
4.5%
지 19
 
4.0%
센 19
 
4.0%
구 16
 
3.4%
명 15
 
3.2%
동 14
 
3.0%
정 14
 
3.0%
복 14
 
3.0%
시 14
 
3.0%
Other values (118) 289
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 433
92.1%
Decimal Number 18
 
3.8%
Space Separator 13
 
2.8%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%
Lowercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 35
 
8.1%
터 21
 
4.8%
지 19
 
4.4%
센 19
 
4.4%
구 16
 
3.7%
명 15
 
3.5%
동 14
 
3.2%
정 14
 
3.2%
복 14
 
3.2%
시 14
 
3.2%
Other values (105) 252
58.2%
Decimal Number
ValueCountFrequency (%)
1 5
27.8%
3 5
27.8%
2 3
16.7%
6 1
 
5.6%
4 1
 
5.6%
9 1
 
5.6%
5 1
 
5.6%
0 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
m 1
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 433
92.1%
Common 35
 
7.4%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 35
 
8.1%
터 21
 
4.8%
지 19
 
4.4%
센 19
 
4.4%
구 16
 
3.7%
명 15
 
3.5%
동 14
 
3.2%
정 14
 
3.2%
복 14
 
3.2%
시 14
 
3.2%
Other values (105) 252
58.2%
Common
ValueCountFrequency (%)
13
37.1%
1 5
 
14.3%
3 5
 
14.3%
2 3
 
8.6%
( 2
 
5.7%
) 2
 
5.7%
6 1
 
2.9%
4 1
 
2.9%
9 1
 
2.9%
5 1
 
2.9%
Latin
ValueCountFrequency (%)
s 1
50.0%
m 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 433
92.1%
ASCII 37
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 35
 
8.1%
터 21
 
4.8%
지 19
 
4.4%
센 19
 
4.4%
구 16
 
3.7%
명 15
 
3.5%
동 14
 
3.2%
정 14
 
3.2%
복 14
 
3.2%
시 14
 
3.2%
Other values (105) 252
58.2%
ASCII
ValueCountFrequency (%)
13
35.1%
1 5
 
13.5%
3 5
 
13.5%
2 3
 
8.1%
( 2
 
5.4%
) 2
 
5.4%
s 1
 
2.7%
m 1
 
2.7%
6 1
 
2.7%
4 1
 
2.7%
Other values (3) 3
 
8.1%

설치장소상세
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size592.0 B
대합실
18 
민원실
15 
휴게실
10 
시장내
8 
건물내
4 
Other values (2)
3 

Length

Max length3
Median length3
Mean length2.9655172
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row휴게실
2nd row민원실
3rd row민원실
4th row휴게실
5th row로비

Common Values

ValueCountFrequency (%)
대합실 18
31.0%
민원실 15
25.9%
휴게실 10
17.2%
시장내 8
13.8%
건물내 4
 
6.9%
로비 2
 
3.4%
부스내 1
 
1.7%

Length

2024-04-21T01:59:28.304664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:59:28.639739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대합실 18
31.0%
민원실 15
25.9%
휴게실 10
17.2%
시장내 8
13.8%
건물내 4
 
6.9%
로비 2
 
3.4%
부스내 1
 
1.7%

설치시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
대구광역시
58 

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 58
100.0%

Length

2024-04-21T01:59:29.022475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:59:29.313448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 58
100.0%

설치시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
남구
58 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남구 58
100.0%

Length

2024-04-21T01:59:29.622536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:59:29.871383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남구 58
100.0%

설치시설구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size592.0 B
관공서
19 
서민·복지시설
18 
교통시설
10 
기타
7 
지역문화시설
2 

Length

Max length7
Median length6
Mean length4.362069
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관공서 19
32.8%
서민·복지시설 18
31.0%
교통시설 10
17.2%
기타 7
 
12.1%
지역문화시설 2
 
3.4%
관광 2
 
3.4%

Length

2024-04-21T01:59:30.043586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:59:30.252403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관공서 19
32.8%
서민·복지시설 18
31.0%
교통시설 10
17.2%
기타 7
 
12.1%
지역문화시설 2
 
3.4%
관광 2
 
3.4%

서비스제공사명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size592.0 B
LGU+
27 
SKT
23 
KT
8 

Length

Max length4
Median length3
Mean length3.3275862
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
LGU+ 27
46.6%
SKT 23
39.7%
KT 8
 
13.8%

Length

2024-04-21T01:59:30.481515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:59:30.670347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
lgu 27
46.6%
skt 23
39.7%
kt 8
 
13.8%

와이파이SSID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
Public WiFi Free
58 

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 58
100.0%

Length

2024-04-21T01:59:30.852344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:59:31.009776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
public 58
33.3%
wifi 58
33.3%
free 58
33.3%

설치년월
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
2019-01
58 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-01
2nd row2019-01
3rd row2019-01
4th row2019-01
5th row2019-01

Common Values

ValueCountFrequency (%)
2019-01 58
100.0%

Length

2024-04-21T01:59:31.176063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:59:31.336563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-01 58
100.0%

소재지도로명주소
Text

MISSING 

Distinct49
Distinct (%)90.7%
Missing4
Missing (%)6.9%
Memory size592.0 B
2024-04-21T01:59:32.106581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length18.018519
Min length15

Characters and Unicode

Total characters973
Distinct characters54
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

Unique45 ?
Unique (%)83.3%

Sample

1st row대구광역시 남구 이천로 10
2nd row대구광역시 남구 대명로58길 11
3rd row대구광역시 남구 이천로 51
4th row대구광역시 남구 이천로 31
5th row대구광역시 남구 앞산순환로 478
ValueCountFrequency (%)
대구광역시 54
24.1%
남구 53
23.7%
명덕로 4
 
1.8%
이천로 4
 
1.8%
중앙대로 4
 
1.8%
대명동 3
 
1.3%
큰골길 3
 
1.3%
53 3
 
1.3%
현충로 3
 
1.3%
대명로 3
 
1.3%
Other values (74) 90
40.2%
2024-04-21T01:59:33.196831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
170
17.5%
구 108
 
11.1%
대 75
 
7.7%
시 56
 
5.8%
남 55
 
5.7%
광 54
 
5.5%
역 54
 
5.5%
로 46
 
4.7%
1 32
 
3.3%
길 26
 
2.7%
Other values (44) 297
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 601
61.8%
Decimal Number 183
 
18.8%
Space Separator 170
 
17.5%
Dash Punctuation 7
 
0.7%
Close Punctuation 6
 
0.6%
Open Punctuation 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 108
18.0%
대 75
12.5%
시 56
9.3%
남 55
9.2%
광 54
9.0%
역 54
9.0%
로 46
7.7%
길 26
 
4.3%
명 23
 
3.8%
덕 12
 
2.0%
Other values (30) 92
15.3%
Decimal Number
ValueCountFrequency (%)
1 32
17.5%
4 24
13.1%
2 23
12.6%
0 21
11.5%
3 20
10.9%
6 18
9.8%
5 15
8.2%
7 11
 
6.0%
9 10
 
5.5%
8 9
 
4.9%
Space Separator
ValueCountFrequency (%)
170
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 601
61.8%
Common 372
38.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 108
18.0%
대 75
12.5%
시 56
9.3%
남 55
9.2%
광 54
9.0%
역 54
9.0%
로 46
7.7%
길 26
 
4.3%
명 23
 
3.8%
덕 12
 
2.0%
Other values (30) 92
15.3%
Common
ValueCountFrequency (%)
170
45.7%
1 32
 
8.6%
4 24
 
6.5%
2 23
 
6.2%
0 21
 
5.6%
3 20
 
5.4%
6 18
 
4.8%
5 15
 
4.0%
7 11
 
3.0%
9 10
 
2.7%
Other values (4) 28
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 601
61.8%
ASCII 372
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
170
45.7%
1 32
 
8.6%
4 24
 
6.5%
2 23
 
6.2%
0 21
 
5.6%
3 20
 
5.4%
6 18
 
4.8%
5 15
 
4.0%
7 11
 
3.0%
9 10
 
2.7%
Other values (4) 28
 
7.5%
Hangul
ValueCountFrequency (%)
구 108
18.0%
대 75
12.5%
시 56
9.3%
남 55
9.2%
광 54
9.0%
역 54
9.0%
로 46
7.7%
길 26
 
4.3%
명 23
 
3.8%
덕 12
 
2.0%
Other values (30) 92
15.3%

소재지지번주소
Text

Distinct56
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size592.0 B
2024-04-21T01:59:34.002403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.586207
Min length16

Characters and Unicode

Total characters1078
Distinct characters25
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

Unique55 ?
Unique (%)94.8%

Sample

1st row대구광역시 남구 봉덕동 624-14
2nd row대구광역시 남구 대명동 2003
3rd row대구광역시 남구 봉덕동 565
4th row대구광역시 남구 봉덕동 650-8
5th row대구광역시 남구 대명9동 201-4
ValueCountFrequency (%)
대구광역시 58
24.9%
남구 58
24.9%
대명동 36
15.5%
봉덕동 9
 
3.9%
이천동 4
 
1.7%
대명6동 3
 
1.3%
1135-1 3
 
1.3%
대명2동 2
 
0.9%
대명5동 2
 
0.9%
2010-1 1
 
0.4%
Other values (57) 57
24.5%
2024-04-21T01:59:35.057734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
175
16.2%
구 116
10.8%
대 103
 
9.6%
1 66
 
6.1%
광 58
 
5.4%
역 58
 
5.4%
시 58
 
5.4%
남 58
 
5.4%
동 58
 
5.4%
- 47
 
4.4%
Other values (15) 281
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 581
53.9%
Decimal Number 275
25.5%
Space Separator 175
 
16.2%
Dash Punctuation 47
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 116
20.0%
대 103
17.7%
광 58
10.0%
역 58
10.0%
시 58
10.0%
남 58
10.0%
동 58
10.0%
명 45
 
7.7%
봉 9
 
1.5%
덕 9
 
1.5%
Other values (3) 9
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 66
24.0%
2 43
15.6%
3 30
10.9%
4 23
 
8.4%
0 23
 
8.4%
5 22
 
8.0%
6 19
 
6.9%
7 17
 
6.2%
9 17
 
6.2%
8 15
 
5.5%
Space Separator
ValueCountFrequency (%)
175
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 581
53.9%
Common 497
46.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 116
20.0%
대 103
17.7%
광 58
10.0%
역 58
10.0%
시 58
10.0%
남 58
10.0%
동 58
10.0%
명 45
 
7.7%
봉 9
 
1.5%
덕 9
 
1.5%
Other values (3) 9
 
1.5%
Common
ValueCountFrequency (%)
175
35.2%
1 66
 
13.3%
- 47
 
9.5%
2 43
 
8.7%
3 30
 
6.0%
4 23
 
4.6%
0 23
 
4.6%
5 22
 
4.4%
6 19
 
3.8%
7 17
 
3.4%
Other values (2) 32
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 581
53.9%
ASCII 497
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
175
35.2%
1 66
 
13.3%
- 47
 
9.5%
2 43
 
8.7%
3 30
 
6.0%
4 23
 
4.6%
0 23
 
4.6%
5 22
 
4.4%
6 19
 
3.8%
7 17
 
3.4%
Other values (2) 32
 
6.4%
Hangul
ValueCountFrequency (%)
구 116
20.0%
대 103
17.7%
광 58
10.0%
역 58
10.0%
시 58
10.0%
남 58
10.0%
동 58
10.0%
명 45
 
7.7%
봉 9
 
1.5%
덕 9
 
1.5%
Other values (3) 9
 
1.5%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
대구광역시 남구청
58 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 남구청 58
100.0%

Length

2024-04-21T01:59:35.276195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:59:35.437716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 58
50.0%
남구청 58
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
053-664-2472
58 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-664-2472
2nd row053-664-2472
3rd row053-664-2472
4th row053-664-2472
5th row053-664-2472

Common Values

ValueCountFrequency (%)
053-664-2472 58
100.0%

Length

2024-04-21T01:59:35.602983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:59:35.761587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-664-2472 58
100.0%

위도
Real number (ℝ)

Distinct57
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.844659
Minimum35.831316
Maximum35.859179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size650.0 B
2024-04-21T01:59:35.948813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.831316
5-th percentile35.834911
Q135.839195
median35.84391
Q335.851768
95-th percentile35.855437
Maximum35.859179
Range0.0278631
Interquartile range (IQR)0.012572905

Descriptive statistics

Standard deviation0.007351984
Coefficient of variation (CV)0.00020510682
Kurtosis-0.96256713
Mean35.844659
Median Absolute Deviation (MAD)0.006682525
Skewness0.22013232
Sum2078.9902
Variance5.4051669 × 10-5
MonotonicityNot monotonic
2024-04-21T01:59:36.202433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.83682489 2
 
3.4%
35.84170799 1
 
1.7%
35.8547012 1
 
1.7%
35.83624038 1
 
1.7%
35.8417305 1
 
1.7%
35.8552846 1
 
1.7%
35.8523781 1
 
1.7%
35.8432344 1
 
1.7%
35.85371369 1
 
1.7%
35.8542803 1
 
1.7%
Other values (47) 47
81.0%
ValueCountFrequency (%)
35.8313155 1
1.7%
35.8313777 1
1.7%
35.8348151 1
1.7%
35.8349281 1
1.7%
35.83511327 1
1.7%
35.835545 1
1.7%
35.8361234 1
1.7%
35.83624038 1
1.7%
35.8365522 1
1.7%
35.8367855 1
1.7%
ValueCountFrequency (%)
35.8591786 1
1.7%
35.8583423 1
1.7%
35.8559167 1
1.7%
35.8553522 1
1.7%
35.8552846 1
1.7%
35.85497291 1
1.7%
35.854911 1
1.7%
35.8547012 1
1.7%
35.8542803 1
1.7%
35.8539085 1
1.7%

경도
Real number (ℝ)

Distinct57
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.58241
Minimum128.55731
Maximum128.60651
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size650.0 B
2024-04-21T01:59:36.463156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.55731
5-th percentile128.55781
Q1128.57387
median128.58362
Q3128.5914
95-th percentile128.60334
Maximum128.60651
Range0.0491977
Interquartile range (IQR)0.0175277

Descriptive statistics

Standard deviation0.01339421
Coefficient of variation (CV)0.00010416829
Kurtosis-0.81615461
Mean128.58241
Median Absolute Deviation (MAD)0.00875705
Skewness-0.13971281
Sum7457.7799
Variance0.00017940487
MonotonicityNot monotonic
2024-04-21T01:59:36.714364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5578125 2
 
3.4%
128.5982425 1
 
1.7%
128.5833579 1
 
1.7%
128.5606341 1
 
1.7%
128.5735803 1
 
1.7%
128.5864555 1
 
1.7%
128.5791382 1
 
1.7%
128.5878291 1
 
1.7%
128.5901816 1
 
1.7%
128.5805659 1
 
1.7%
Other values (47) 47
81.0%
ValueCountFrequency (%)
128.5573077 1
1.7%
128.5577515 1
1.7%
128.5578125 2
3.4%
128.5606341 1
1.7%
128.5630533 1
1.7%
128.5637896 1
1.7%
128.5660878 1
1.7%
128.567205 1
1.7%
128.5688897 1
1.7%
128.5689557 1
1.7%
ValueCountFrequency (%)
128.6065054 1
1.7%
128.604038 1
1.7%
128.6036027 1
1.7%
128.6032952 1
1.7%
128.6011101 1
1.7%
128.5997077 1
1.7%
128.599599 1
1.7%
128.599404 1
1.7%
128.5982425 1
1.7%
128.5979379 1
1.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
2020-03-20
58 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-03-20
2nd row2020-03-20
3rd row2020-03-20
4th row2020-03-20
5th row2020-03-20

Common Values

ValueCountFrequency (%)
2020-03-20 58
100.0%

Length

2024-04-21T01:59:36.938367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:59:37.339714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-03-20 58
100.0%

Interactions

2024-04-21T01:59:24.506130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:59:24.009950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:59:24.751747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:59:24.262455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T01:59:37.517977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치장소명설치장소상세설치시설구분서비스제공사명소재지도로명주소소재지지번주소위도경도
설치장소명1.0001.0001.0000.8721.0000.9921.0001.000
설치장소상세1.0001.0000.8200.6691.0001.0000.5700.000
설치시설구분1.0000.8201.0000.7901.0001.0000.0000.000
서비스제공사명0.8720.6690.7901.0000.6430.8840.4000.000
소재지도로명주소1.0001.0001.0000.6431.0001.0000.9951.000
소재지지번주소0.9921.0001.0000.8841.0001.0001.0001.000
위도1.0000.5700.0000.4000.9951.0001.0000.567
경도1.0000.0000.0000.0001.0001.0000.5671.000
2024-04-21T01:59:37.807498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치시설구분설치장소상세서비스제공사명
설치시설구분1.0000.6560.456
설치장소상세0.6561.0000.553
서비스제공사명0.4560.5531.000
2024-04-21T01:59:38.059215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치장소상세설치시설구분서비스제공사명
위도1.0000.4530.3190.0000.240
경도0.4531.0000.0000.0000.000
설치장소상세0.3190.0001.0000.6560.553
설치시설구분0.0000.0000.6561.0000.456
서비스제공사명0.2400.0000.5530.4561.000

Missing values

2024-04-21T01:59:25.109088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T01:59:25.712307image/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
0남구 다문화가족지원센터휴게실대구광역시남구서민·복지시설LGU+Public WiFi Free2019-01대구광역시 남구 이천로 10대구광역시 남구 봉덕동 624-14대구광역시 남구청053-664-247235.841708128.5982422020-03-20
1남구 보건소민원실대구광역시남구관공서LGU+Public WiFi Free2019-01대구광역시 남구 대명로58길 11대구광역시 남구 대명동 2003대구광역시 남구청053-664-247235.853909128.5915312020-03-20
2남구청민원실대구광역시남구관공서LGU+Public WiFi Free2019-01대구광역시 남구 이천로 51대구광역시 남구 봉덕동 565대구광역시 남구청053-664-247235.845792128.5977722020-03-20
3대구여성의전화부설성(가정)폭력상담소휴게실대구광역시남구서민·복지시설LGU+Public WiFi Free2019-01대구광역시 남구 이천로 31대구광역시 남구 봉덕동 650-8대구광역시 남구청053-664-247235.843961128.5979382020-03-20
4대덕문화전당로비대구광역시남구관공서LGU+Public WiFi Free2019-01대구광역시 남구 앞산순환로 478대구광역시 남구 대명9동 201-4대구광역시 남구청053-664-247235.831378128.5769992020-03-20
5대명4동행정복지센터민원실대구광역시남구관공서LGU+Public WiFi Free2019-01대구광역시 남구 두류공원로 20길 19대구광역시 남구 대명동 3043-34대구광역시 남구청053-664-247235.846008128.5695342020-03-20
6대명6동행정복지센터민원실대구광역시남구관공서LGU+Public WiFi Free2019-01대구광역시 남구 대명남로 73대구광역시 남구 대명동 1086-1대구광역시 남구청053-664-247235.835113128.5660882020-03-20
7봉덕1동행정복지센터민원실대구광역시남구관공서LGU+Public WiFi Free2019-01대구광역시 남구 이천로 51대구광역시 남구 봉덕동 565-5대구광역시 남구청053-664-247235.845835128.5977452020-03-20
8봉덕3동행정복지센터민원실대구광역시남구관공서LGU+Public WiFi Free2019-01대구광역시 남구 중앙대로 22길 100대구광역시 남구 봉덕동 702-6대구광역시 남구청053-664-247235.842427128.5959242020-03-20
9서부터미널(관문시장 외)대합실대구광역시남구교통시설LGU+Public WiFi Free2019-01대구광역시 남구 월배로 496대구광역시 남구 대명동 1135-1대구광역시 남구청053-664-247235.836825128.5578132020-03-20
설치장소명설치장소상세설치시도명설치시군구명설치시설구분서비스제공사명와이파이SSID설치년월소재지도로명주소소재지지번주소관리기관명관리기관전화번호위도경도데이터기준일자
48성당못역대합실대구광역시남구교통시설LGU+Public WiFi Free2019-01<NA>대구광역시 남구 대명6동 10442대구광역시 남구청053-664-247235.835545128.5672052020-03-20
49안지랑역대합실대구광역시남구교통시설LGU+Public WiFi Free2019-01<NA>대구광역시 남구 대명1동 64291대구광역시 남구청053-664-247235.842877128.5759252020-03-20
50엔제리너스 대구대덕점건물내대구광역시남구기타LGU+Public WiFi Free2019-01대구광역시 남구 대덕로40길 140대구광역시 남구 봉덕동 1130-2대구광역시 남구청053-664-247235.834928128.6036032020-03-20
51영남대학교의료원대합실대구광역시남구서민·복지시설LGU+Public WiFi Free2019-01<NA>대구광역시 남구 대명5동 317 -1대구광역시 남구청053-664-247235.846959128.5858022020-03-20
52이공대창업보육센터대합실대구광역시남구관공서LGU+Public WiFi Free2019-01대구광역시 남구 현충로 170대구광역시 남구 대명동 317-1대구광역시 남구청053-664-247235.847342128.5854322020-03-20
53현충로역대합실대구광역시남구교통시설LGU+Public WiFi Free2019-01대구광역시 남구 대명서7길 149-6대구광역시 남구 대명6동 1219대구광역시 남구청053-664-247235.845805128.5780382020-03-20
54남대구우체국대합실대구광역시남구관공서KTPublic WiFi Free2019-01대구광역시 남구 중앙대로 200대구광역시 남구 대명2동 2010-1대구광역시 남구청053-664-247235.850641128.5910052020-03-20
55앞산공원 공중전화3부스내대구광역시남구관광KTPublic WiFi Free2019-01대구광역시 남구 앞산순환로 574-116대구광역시 남구 대명동 277-1대구광역시 남구청053-664-247235.840047128.568892020-03-20
56두류공원 스케이트장대합실대구광역시남구관광SKTPublic WiFi Free2019-01대구광역시 남구 성당로 90-2대구광역시 남구 대명동 3054-57대구광역시 남구청053-664-247235.844544128.563792020-03-20
57양계농협대경지점대합실대구광역시남구기타SKTPublic WiFi Free2019-01대구광역시 남구 현충로 124대구광역시 남구 대명동 1679-10대구광역시 남구청053-664-247235.8438128.5802682020-03-20