Overview

Dataset statistics

Number of variables15
Number of observations58
Missing cells70
Missing cells (%)8.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 KiB
Average record size in memory125.3 B

Variable types

Text3
Categorical9
Unsupported1
Numeric2

Dataset

Description대구광역시_동구_무료와이파이
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15013116&dataSetDetailId=150131161d1668746ada6&provdMethod=FILE

Alerts

설치시도명 has constant value ""Constant
설치시군구명 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
설치년월 is highly overall correlated with 설치장소상세High correlation
와이파이SSID has 58 (100.0%) missing valuesMissing
소재지지번주소 has 12 (20.7%) missing valuesMissing
소재지도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
와이파이SSID is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-19 06:48:59.281562
Analysis finished2024-04-19 06:49:00.358977
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치장소명
Text

Distinct46
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-04-19T15:49:00.498664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.4482759
Min length4

Characters and Unicode

Total characters432
Distinct characters96
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)74.1%

Sample

1st row아양아트센터
2nd row신암공원관리사무소
3rd row율하체육공원
4th row봉무공원
5th row해오름재가노인복지센터
ValueCountFrequency (%)
행정복지센터 19
23.8%
동대구로 7
 
8.8%
동촌유원지 5
 
6.2%
터미널먹거리촌 3
 
3.8%
광장 1
 
1.2%
도평동 1
 
1.2%
안심1동 1
 
1.2%
아양아트센터 1
 
1.2%
공산동 1
 
1.2%
공항시장 1
 
1.2%
Other values (40) 40
50.0%
2024-04-19T15:49:00.833210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 38
 
8.8%
지 28
 
6.5%
터 25
 
5.8%
22
 
5.1%
센 22
 
5.1%
복 22
 
5.1%
정 20
 
4.6%
행 19
 
4.4%
구 12
 
2.8%
촌 11
 
2.5%
Other values (86) 213
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 393
91.0%
Space Separator 22
 
5.1%
Decimal Number 13
 
3.0%
Uppercase Letter 3
 
0.7%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 38
 
9.7%
지 28
 
7.1%
터 25
 
6.4%
센 22
 
5.6%
복 22
 
5.6%
정 20
 
5.1%
행 19
 
4.8%
구 12
 
3.1%
촌 11
 
2.8%
원 10
 
2.5%
Other values (77) 186
47.3%
Decimal Number
ValueCountFrequency (%)
1 4
30.8%
4 3
23.1%
2 3
23.1%
3 2
15.4%
5 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
S 2
66.7%
O 1
33.3%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 393
91.0%
Common 36
 
8.3%
Latin 3
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 38
 
9.7%
지 28
 
7.1%
터 25
 
6.4%
센 22
 
5.6%
복 22
 
5.6%
정 20
 
5.1%
행 19
 
4.8%
구 12
 
3.1%
촌 11
 
2.8%
원 10
 
2.5%
Other values (77) 186
47.3%
Common
ValueCountFrequency (%)
22
61.1%
1 4
 
11.1%
4 3
 
8.3%
2 3
 
8.3%
3 2
 
5.6%
· 1
 
2.8%
5 1
 
2.8%
Latin
ValueCountFrequency (%)
S 2
66.7%
O 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 393
91.0%
ASCII 38
 
8.8%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 38
 
9.7%
지 28
 
7.1%
터 25
 
6.4%
센 22
 
5.6%
복 22
 
5.6%
정 20
 
5.1%
행 19
 
4.8%
구 12
 
3.1%
촌 11
 
2.8%
원 10
 
2.5%
Other values (77) 186
47.3%
ASCII
ValueCountFrequency (%)
22
57.9%
1 4
 
10.5%
4 3
 
7.9%
2 3
 
7.9%
3 2
 
5.3%
S 2
 
5.3%
5 1
 
2.6%
O 1
 
2.6%
None
ValueCountFrequency (%)
· 1
100.0%

설치장소상세
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
전체
38 
민원실
20 

Length

Max length3
Median length2
Mean length2.3448276
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체 38
65.5%
민원실 20
34.5%

Length

2024-04-19T15:49:00.964878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:49:01.107629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체 38
65.5%
민원실 20
34.5%

설치시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 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

2024-04-19T15:49:01.226762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:49:01.305985image/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 size596.0 B
동구
58 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동구 58
100.0%

Length

2024-04-19T15:49:01.404673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:49:01.495696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동구 58
100.0%

설치시설구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
관공서
20 
기타
20 
서민·복지시설
6 
편의시설
5 
관광
5 

Length

Max length7
Median length6
Mean length3.1724138
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관공서 20
34.5%
기타 20
34.5%
서민·복지시설 6
 
10.3%
편의시설 5
 
8.6%
관광 5
 
8.6%
지역문화시설 2
 
3.4%

Length

2024-04-19T15:49:01.584587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:49:01.697441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관공서 20
34.5%
기타 20
34.5%
서민·복지시설 6
 
10.3%
편의시설 5
 
8.6%
관광 5
 
8.6%
지역문화시설 2
 
3.4%

서비스제공사명
Categorical

Distinct5
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size596.0 B
KT
33 
LGU+
12 
동구청
9 
SKT
 
3
KT, LGU+
 
1

Length

Max length8
Median length2
Mean length2.7241379
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st rowKT, LGU+
2nd rowKT
3rd rowKT
4th rowKT
5th rowKT

Common Values

ValueCountFrequency (%)
KT 33
56.9%
LGU+ 12
 
20.7%
동구청 9
 
15.5%
SKT 3
 
5.2%
KT, LGU+ 1
 
1.7%

Length

2024-04-19T15:49:01.821958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:49:01.938383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kt 34
57.6%
lgu 13
 
22.0%
동구청 9
 
15.3%
skt 3
 
5.1%

와이파이SSID
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

설치년월
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
2018-11
24 
2019-05
17 
2018-06
6 
2018-01
6 
2018-03
4 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row2018-03
2nd row2018-03
3rd row2018-03
4th row2018-03
5th row2018-06

Common Values

ValueCountFrequency (%)
2018-11 24
41.4%
2019-05 17
29.3%
2018-06 6
 
10.3%
2018-01 6
 
10.3%
2018-03 4
 
6.9%
2019-06 1
 
1.7%

Length

2024-04-19T15:49:02.061256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:49:02.162010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-11 24
41.4%
2019-05 17
29.3%
2018-06 6
 
10.3%
2018-01 6
 
10.3%
2018-03 4
 
6.9%
2019-06 1
 
1.7%

소재지도로명주소
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-04-19T15:49:02.405022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length20.672414
Min length15

Characters and Unicode

Total characters1199
Distinct characters70
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

Unique58 ?
Unique (%)100.0%

Sample

1st row대구광역시 동구 효동로2길 24 (효목동)
2nd row대구광역시 동구 신암북로11길 78-30
3rd row대구광역시 동구 금호강변로 278 (율하동)
4th row대구광역시 동구 팔공로 424
5th row대구광역시 동구 큰고개로 23 (신암동)
ValueCountFrequency (%)
대구광역시 58
23.6%
동구 58
23.6%
동대구로 8
 
3.3%
신암동 6
 
2.4%
동부로30길 4
 
1.6%
효동로2길 3
 
1.2%
효동로6길 3
 
1.2%
불로동 3
 
1.2%
해동로3길 2
 
0.8%
신암남로 2
 
0.8%
Other values (90) 99
40.2%
2024-04-19T15:49:02.760677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
15.7%
구 124
 
10.3%
동 124
 
10.3%
대 66
 
5.5%
로 60
 
5.0%
시 58
 
4.8%
역 58
 
4.8%
광 58
 
4.8%
( 36
 
3.0%
) 36
 
3.0%
Other values (60) 391
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 739
61.6%
Decimal Number 194
 
16.2%
Space Separator 188
 
15.7%
Open Punctuation 36
 
3.0%
Close Punctuation 36
 
3.0%
Dash Punctuation 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 124
16.8%
동 124
16.8%
대 66
8.9%
로 60
8.1%
시 58
7.8%
역 58
7.8%
광 58
7.8%
길 32
 
4.3%
신 22
 
3.0%
암 15
 
2.0%
Other values (46) 122
16.5%
Decimal Number
ValueCountFrequency (%)
1 35
18.0%
4 24
12.4%
5 22
11.3%
2 22
11.3%
3 20
10.3%
7 17
8.8%
6 16
8.2%
9 16
8.2%
0 14
 
7.2%
8 8
 
4.1%
Space Separator
ValueCountFrequency (%)
188
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 739
61.6%
Common 460
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 124
16.8%
동 124
16.8%
대 66
8.9%
로 60
8.1%
시 58
7.8%
역 58
7.8%
광 58
7.8%
길 32
 
4.3%
신 22
 
3.0%
암 15
 
2.0%
Other values (46) 122
16.5%
Common
ValueCountFrequency (%)
188
40.9%
( 36
 
7.8%
) 36
 
7.8%
1 35
 
7.6%
4 24
 
5.2%
5 22
 
4.8%
2 22
 
4.8%
3 20
 
4.3%
7 17
 
3.7%
6 16
 
3.5%
Other values (4) 44
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 739
61.6%
ASCII 460
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
40.9%
( 36
 
7.8%
) 36
 
7.8%
1 35
 
7.6%
4 24
 
5.2%
5 22
 
4.8%
2 22
 
4.8%
3 20
 
4.3%
7 17
 
3.7%
6 16
 
3.5%
Other values (4) 44
 
9.6%
Hangul
ValueCountFrequency (%)
구 124
16.8%
동 124
16.8%
대 66
8.9%
로 60
8.1%
시 58
7.8%
역 58
7.8%
광 58
7.8%
길 32
 
4.3%
신 22
 
3.0%
암 15
 
2.0%
Other values (46) 122
16.5%

소재지지번주소
Text

MISSING 

Distinct46
Distinct (%)100.0%
Missing12
Missing (%)20.7%
Memory size596.0 B
2024-04-19T15:49:02.973391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length17.695652
Min length15

Characters and Unicode

Total characters814
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

Unique46 ?
Unique (%)100.0%

Sample

1st row대구광역시 동구 율하동 1626
2nd row대구광역시 동구 불로동 434
3rd row대구광역시 동구 지저동 779-5
4th row대구광역시 동구 검사동 1005-8
5th row대구광역시 동구 불로동 948
ValueCountFrequency (%)
대구광역시 46
25.0%
동구 46
25.0%
신천동 14
 
7.6%
효목동 8
 
4.3%
신암동 7
 
3.8%
불로동 3
 
1.6%
방촌동 3
 
1.6%
지저동 2
 
1.1%
신기동 2
 
1.1%
율하동 2
 
1.1%
Other values (51) 51
27.7%
2024-04-19T15:49:03.298337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138
17.0%
구 92
11.3%
동 92
11.3%
대 46
 
5.7%
광 46
 
5.7%
역 46
 
5.7%
시 46
 
5.7%
1 34
 
4.2%
- 33
 
4.1%
신 24
 
2.9%
Other values (29) 217
26.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 459
56.4%
Decimal Number 184
22.6%
Space Separator 138
 
17.0%
Dash Punctuation 33
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 92
20.0%
동 92
20.0%
대 46
10.0%
광 46
10.0%
역 46
10.0%
시 46
10.0%
신 24
 
5.2%
천 14
 
3.1%
효 8
 
1.7%
목 8
 
1.7%
Other values (17) 37
8.1%
Decimal Number
ValueCountFrequency (%)
1 34
18.5%
2 20
10.9%
4 19
10.3%
0 18
9.8%
9 18
9.8%
3 17
9.2%
8 16
8.7%
7 15
8.2%
5 14
7.6%
6 13
 
7.1%
Space Separator
ValueCountFrequency (%)
138
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 459
56.4%
Common 355
43.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 92
20.0%
동 92
20.0%
대 46
10.0%
광 46
10.0%
역 46
10.0%
시 46
10.0%
신 24
 
5.2%
천 14
 
3.1%
효 8
 
1.7%
목 8
 
1.7%
Other values (17) 37
8.1%
Common
ValueCountFrequency (%)
138
38.9%
1 34
 
9.6%
- 33
 
9.3%
2 20
 
5.6%
4 19
 
5.4%
0 18
 
5.1%
9 18
 
5.1%
3 17
 
4.8%
8 16
 
4.5%
7 15
 
4.2%
Other values (2) 27
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 459
56.4%
ASCII 355
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
138
38.9%
1 34
 
9.6%
- 33
 
9.3%
2 20
 
5.6%
4 19
 
5.4%
0 18
 
5.1%
9 18
 
5.1%
3 17
 
4.8%
8 16
 
4.5%
7 15
 
4.2%
Other values (2) 27
 
7.6%
Hangul
ValueCountFrequency (%)
구 92
20.0%
동 92
20.0%
대 46
10.0%
광 46
10.0%
역 46
10.0%
시 46
10.0%
신 24
 
5.2%
천 14
 
3.1%
효 8
 
1.7%
목 8
 
1.7%
Other values (17) 37
8.1%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
대구광역시 동구청
58 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 동구청 58
100.0%

Length

2024-04-19T15:49:03.675142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:49:03.754174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 58
50.0%
동구청 58
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
053-662-2472
58 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-662-2472
2nd row053-662-2472
3rd row053-662-2472
4th row053-662-2472
5th row053-662-2472

Common Values

ValueCountFrequency (%)
053-662-2472 58
100.0%

Length

2024-04-19T15:49:03.847668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:49:03.939677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-662-2472 58
100.0%

위도
Real number (ℝ)

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.88345
Minimum35.859922
Maximum35.94023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-04-19T15:49:04.044217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.859922
5-th percentile35.870328
Q135.874472
median35.881006
Q335.886497
95-th percentile35.910381
Maximum35.94023
Range0.08030797
Interquartile range (IQR)0.012025195

Descriptive statistics

Standard deviation0.014689168
Coefficient of variation (CV)0.00040935774
Kurtosis5.5064159
Mean35.88345
Median Absolute Deviation (MAD)0.00649914
Skewness2.0393484
Sum2081.2401
Variance0.00021577165
MonotonicityNot monotonic
2024-04-19T15:49:04.179195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.87965562 1
 
1.7%
35.87421194 1
 
1.7%
35.90997677 1
 
1.7%
35.94022976 1
 
1.7%
35.88276134 1
 
1.7%
35.88291417 1
 
1.7%
35.8724032 1
 
1.7%
35.88207943 1
 
1.7%
35.87174589 1
 
1.7%
35.88115644 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
35.85992179 1
1.7%
35.86255724 1
1.7%
35.86994655 1
1.7%
35.87039525 1
1.7%
35.87052409 1
1.7%
35.87110171 1
1.7%
35.87174589 1
1.7%
35.87231498 1
1.7%
35.87231913 1
1.7%
35.8724032 1
1.7%
ValueCountFrequency (%)
35.94022976 1
1.7%
35.93635501 1
1.7%
35.91039945 1
1.7%
35.91037762 1
1.7%
35.90997677 1
1.7%
35.90198112 1
1.7%
35.89633821 1
1.7%
35.89625857 1
1.7%
35.89115588 1
1.7%
35.89015506 1
1.7%

경도
Real number (ℝ)

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.64314
Minimum128.61271
Maximum128.73412
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-04-19T15:49:04.326737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.61271
5-th percentile128.61531
Q1128.6249
median128.63725
Q3128.65088
95-th percentile128.70216
Maximum128.73412
Range0.1214129
Interquartile range (IQR)0.0259831

Descriptive statistics

Standard deviation0.025750948
Coefficient of variation (CV)0.0002001735
Kurtosis2.7691772
Mean128.64314
Median Absolute Deviation (MAD)0.0124313
Skewness1.6707105
Sum7461.3024
Variance0.00066311133
MonotonicityNot monotonic
2024-04-19T15:49:04.530058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.651954 1
 
1.7%
128.6248218 1
 
1.7%
128.6501314 1
 
1.7%
128.6442061 1
 
1.7%
128.6657683 1
 
1.7%
128.6427217 1
 
1.7%
128.7024469 1
 
1.7%
128.6716768 1
 
1.7%
128.6293094 1
 
1.7%
128.6152743 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
128.6127068 1
1.7%
128.6147777 1
1.7%
128.6152743 1
1.7%
128.6153112 1
1.7%
128.6163508 1
1.7%
128.6215214 1
1.7%
128.6215911 1
1.7%
128.6231474 1
1.7%
128.6237128 1
1.7%
128.623806 1
1.7%
ValueCountFrequency (%)
128.7341197 1
1.7%
128.7108352 1
1.7%
128.7024469 1
1.7%
128.702108 1
1.7%
128.6953288 1
1.7%
128.6928366 1
1.7%
128.6716768 1
1.7%
128.6657683 1
1.7%
128.6652582 1
1.7%
128.6533591 1
1.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
2020-07-10
58 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-07-10
2nd row2020-07-10
3rd row2020-07-10
4th row2020-07-10
5th row2020-07-10

Common Values

ValueCountFrequency (%)
2020-07-10 58
100.0%

Length

2024-04-19T15:49:04.690275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:49:04.778924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-07-10 58
100.0%

Interactions

2024-04-19T15:48:59.890799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:48:59.701421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:48:59.982797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:48:59.799326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-19T15:49:04.843434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치장소명설치장소상세설치시설구분서비스제공사명설치년월소재지도로명주소소재지지번주소위도경도
설치장소명1.0001.0001.0001.0001.0001.0001.0001.0000.998
설치장소상세1.0001.0000.9910.2220.7421.0001.0000.2110.226
설치시설구분1.0000.9911.0000.6050.8511.0001.0000.5860.640
서비스제공사명1.0000.2220.6051.0000.5341.0001.0000.1130.300
설치년월1.0000.7420.8510.5341.0001.0001.0000.5910.597
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
위도1.0000.2110.5860.1130.5911.0001.0001.0000.690
경도0.9980.2260.6400.3000.5971.0001.0000.6901.000
2024-04-19T15:49:04.951370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서비스제공사명설치시설구분설치장소상세설치년월
서비스제공사명1.0000.4590.2620.392
설치시설구분0.4591.0000.8840.471
설치장소상세0.2620.8841.0000.530
설치년월0.3920.4710.5301.000
2024-04-19T15:49:05.039830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치장소상세설치시설구분서비스제공사명설치년월
위도1.0000.0680.1420.3650.0480.370
경도0.0681.0000.1940.3680.1560.340
설치장소상세0.1420.1941.0000.8840.2620.530
설치시설구분0.3650.3680.8841.0000.4590.471
서비스제공사명0.0480.1560.2620.4591.0000.392
설치년월0.3700.3400.5300.4710.3921.000

Missing values

2024-04-19T15:49:00.114766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-19T15:49:00.288402image/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
0아양아트센터전체대구광역시동구지역문화시설KT, LGU+<NA>2018-03대구광역시 동구 효동로2길 24 (효목동)<NA>대구광역시 동구청053-662-247235.879656128.6519542020-07-10
1신암공원관리사무소전체대구광역시동구편의시설KT<NA>2018-03대구광역시 동구 신암북로11길 78-30<NA>대구광역시 동구청053-662-247235.891156128.6215212020-07-10
2율하체육공원전체대구광역시동구편의시설KT<NA>2018-03대구광역시 동구 금호강변로 278 (율하동)대구광역시 동구 율하동 1626대구광역시 동구청053-662-247235.859922128.6928372020-07-10
3봉무공원전체대구광역시동구편의시설KT<NA>2018-03대구광역시 동구 팔공로 424<NA>대구광역시 동구청053-662-247235.936355128.6440422020-07-10
4해오름재가노인복지센터전체대구광역시동구서민·복지시설KT<NA>2018-06대구광역시 동구 큰고개로 23 (신암동)<NA>대구광역시 동구청053-662-247235.885871128.6238062020-07-10
5동부도서관전체대구광역시동구지역문화시설KT<NA>2018-06대구광역시 동구 신암북로11길 54(신암동)<NA>대구광역시 동구청053-662-247235.890155128.6215912020-07-10
6볼로봉무동 행정복지센터민원실대구광역시동구관공서SKT<NA>2018-06대구광역시 동구 팔공로25길 16 (불로동)대구광역시 동구 불로동 434대구광역시 동구청053-662-247235.910378128.6392882020-07-10
7지저동 행정복지센터민원실대구광역시동구관공서KT<NA>2018-06대구광역시 동구 해동로3길 20 (지저동)대구광역시 동구 지저동 779-5대구광역시 동구청053-662-247235.896338128.638712020-07-10
8동구 보건소전체대구광역시동구관공서KT<NA>2018-06대구광역시 동구 동촌로 79 (검사동)대구광역시 동구 검사동 1005-8대구광역시 동구청053-662-247235.888123128.6512152020-07-10
9안심4동 행정복지센터민원실대구광역시동구관공서KT<NA>2018-06대구광역시 동구 안심로49길 98 (서호동)<NA>대구광역시 동구청053-662-247235.870524128.7108352020-07-10
설치장소명설치장소상세설치시도명설치시군구명설치시설구분서비스제공사명와이파이SSID설치년월소재지도로명주소소재지지번주소관리기관명관리기관전화번호위도경도데이터기준일자
48동촌유원지전체대구광역시동구관광동구청<NA>2019-05대구광역시 동구 효동로2길 39대구광역시 동구 효목동 1100-3대구광역시 동구청053-662-247235.880238128.6526012020-07-10
49동촌유원지전체대구광역시동구관광동구청<NA>2019-05대구광역시 동구 효동로6길 80대구광역시 동구 효목동 1010대구광역시 동구청053-662-247235.881895128.6511312020-07-10
50동촌유원지전체대구광역시동구관광동구청<NA>2019-05대구광역시 동구 효동로6길 58대구광역시 동구 효목동 979-2대구광역시 동구청053-662-247235.882906128.6492342020-07-10
51동촌유원지전체대구광역시동구관광동구청<NA>2019-05대구광역시 동구 효동로6길 66대구광역시 동구 효목동 1310대구광역시 동구청053-662-247235.882515128.6498292020-07-10
52터미널먹거리촌전체대구광역시동구기타동구청<NA>2019-05대구광역시 동구 동부로30길 15대구광역시 동구 신천동 379-5대구광역시 동구청053-662-247235.875641128.6290642020-07-10
53터미널먹거리촌전체대구광역시동구기타동구청<NA>2019-05대구광역시 동구 동부로30길 40대구광역시 동구 신천동 337-1대구광역시 동구청053-662-247235.873489128.6285922020-07-10
54터미널먹거리촌전체대구광역시동구기타동구청<NA>2019-05대구광역시 동구 동부로30길 53대구광역시 동구 신천동 368-7대구광역시 동구청053-662-247235.872315128.629072020-07-10
55동대구역 광장전체대구광역시동구기타KT<NA>2019-05대구광역시 동구 동대구로 550대구광역시 동구 신암동 294대구광역시 동구청053-662-247235.879437128.6287722020-07-10
56혁신도시 중앙공원전체대구광역시동구편의시설동구청<NA>2019-05대구광역시 동구 동내로 117대구광역시 동구 신서동 1185대구광역시 동구청053-662-247235.880947128.734122020-07-10
57율하반계공원전체대구광역시동구편의시설LGU+<NA>2019-06대구광역시 동구 율하동 1416대구광역시 동구 율하동 1416대구광역시 동구청053-662-247235.862557128.6953292020-07-10