Overview

Dataset statistics

Number of variables15
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory126.1 B

Variable types

Text3
Categorical10
Numeric2

Dataset

Description대구광역시_수성구_무료와이파이_20190814
Author대구광역시 수성구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15013116&dataSetDetailId=150131161c1f10926a7fd&provdMethod=FILE

Alerts

설치시도명 has constant value ""Constant
설치시군구명 has constant value ""Constant
와이파이SSID has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
관리기관전화번호 is highly overall correlated with 설치장소상세 and 1 other fieldsHigh correlation
설치년월 is highly overall correlated with 설치장소상세 and 1 other fieldsHigh correlation
설치시설구분 is highly overall correlated with 설치장소상세High correlation
설치장소상세 is highly overall correlated with 설치시설구분 and 2 other fieldsHigh correlation
관리기관전화번호 is highly imbalanced (79.9%)Imbalance
설치장소명 has unique valuesUnique

Reproduction

Analysis started2023-09-29 01:11:26.620434
Analysis finished2023-09-29 01:11:34.871343
Duration8.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치장소명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-09-29T01:11:35.098214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length6.34375
Min length3

Characters and Unicode

Total characters203
Distinct characters65
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

Unique32 ?
Unique (%)100.0%

Sample

1st row대구장애인종합복지관
2nd row애활원
3rd row황금시장
4th row노인종합복지회관
5th rowSOS아동보호센터
ValueCountFrequency (%)
수성구청 2
 
5.9%
대구장애인종합복지관 1
 
2.9%
동성시장 1
 
2.9%
수성23가동주민센터 1
 
2.9%
황금2동주민센터 1
 
2.9%
중동주민센터 1
 
2.9%
파동주민센터 1
 
2.9%
두산동주민센터 1
 
2.9%
만촌시장 1
 
2.9%
신천시장 1
 
2.9%
Other values (23) 23
67.6%
2023-09-29T01:11:36.630840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
6.9%
13
 
6.4%
13
 
6.4%
11
 
5.4%
11
 
5.4%
9
 
4.4%
8
 
3.9%
7
 
3.4%
7
 
3.4%
6
 
3.0%
Other values (55) 104
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 190
93.6%
Decimal Number 8
 
3.9%
Uppercase Letter 3
 
1.5%
Space Separator 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
7.4%
13
 
6.8%
13
 
6.8%
11
 
5.8%
11
 
5.8%
9
 
4.7%
8
 
4.2%
7
 
3.7%
7
 
3.7%
6
 
3.2%
Other values (49) 91
47.9%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
2 3
37.5%
3 2
25.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
66.7%
O 1
33.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 190
93.6%
Common 10
 
4.9%
Latin 3
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
7.4%
13
 
6.8%
13
 
6.8%
11
 
5.8%
11
 
5.8%
9
 
4.7%
8
 
4.2%
7
 
3.7%
7
 
3.7%
6
 
3.2%
Other values (49) 91
47.9%
Common
ValueCountFrequency (%)
1 3
30.0%
2 3
30.0%
3 2
20.0%
2
20.0%
Latin
ValueCountFrequency (%)
S 2
66.7%
O 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 190
93.6%
ASCII 13
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
14
 
7.4%
13
 
6.8%
13
 
6.8%
11
 
5.8%
11
 
5.8%
9
 
4.7%
8
 
4.2%
7
 
3.7%
7
 
3.7%
6
 
3.2%
Other values (49) 91
47.9%
ASCII
ValueCountFrequency (%)
1 3
23.1%
2 3
23.1%
3 2
15.4%
2
15.4%
S 2
15.4%
O 1
 
7.7%

설치장소상세
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
민원실
15 
휴게실
시장 입구
지역문화시설
 
1

Length

Max length6
Median length3
Mean length3.53125
Min length3

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
민원실 15
46.9%
휴게실 9
28.1%
시장 입구 7
21.9%
지역문화시설 1
 
3.1%

Length

2023-09-29T01:11:37.555239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:11:38.363009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민원실 15
38.5%
휴게실 9
23.1%
시장 7
17.9%
입구 7
17.9%
지역문화시설 1
 
2.6%

설치시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
대구광역시
32 

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 32
100.0%

Length

2023-09-29T01:11:38.952796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:11:39.647085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 32
100.0%

설치시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
수성구
32 

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 32
100.0%

Length

2023-09-29T01:11:40.410146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:11:41.119654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수성구 32
100.0%

설치시설구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
서민·복지시설
18 
관공서
14 

Length

Max length7
Median length7
Mean length5.25
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서민·복지시설 18
56.2%
관공서 14
43.8%

Length

2023-09-29T01:11:41.883589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:11:42.711626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서민·복지시설 18
56.2%
관공서 14
43.8%
Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
KT
14 
SKT
12 
LGU+

Length

Max length4
Median length3
Mean length2.75
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
KT 14
43.8%
SKT 12
37.5%
LGU+ 6
18.8%

Length

2023-09-29T01:11:44.133300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:11:44.746324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kt 14
43.8%
skt 12
37.5%
lgu 6
18.8%

와이파이SSID
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
Public WiFi Free
32 

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 32
100.0%

Length

2023-09-29T01:11:45.560998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:11:46.101811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
public 32
33.3%
wifi 32
33.3%
free 32
33.3%

설치년월
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
2015-10
13 
2013-12
11 
2014-12
2018-09
 
1

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row2013-12
2nd row2013-12
3rd row2013-12
4th row2013-12
5th row2013-12

Common Values

ValueCountFrequency (%)
2015-10 13
40.6%
2013-12 11
34.4%
2014-12 7
21.9%
2018-09 1
 
3.1%

Length

2023-09-29T01:11:46.964000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:11:47.684944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015-10 13
40.6%
2013-12 11
34.4%
2014-12 7
21.9%
2018-09 1
 
3.1%
Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-09-29T01:11:48.420267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24.5
Mean length22.59375
Min length17

Characters and Unicode

Total characters723
Distinct characters58
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)93.8%

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 32
23.9%
수성구 32
23.9%
들안로 4
 
3.0%
달구벌대로 4
 
3.0%
파동로51길 3
 
2.2%
2450(범어동 2
 
1.5%
성동로 2
 
1.5%
10(황금동 1
 
0.7%
무열로29길 1
 
0.7%
수성로50길 1
 
0.7%
Other values (52) 52
38.8%
2023-09-29T01:11:50.312310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
 
14.2%
68
 
9.4%
40
 
5.5%
39
 
5.4%
36
 
5.0%
33
 
4.6%
33
 
4.6%
32
 
4.4%
32
 
4.4%
32
 
4.4%
Other values (48) 275
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 446
61.7%
Decimal Number 120
 
16.6%
Space Separator 103
 
14.2%
Open Punctuation 24
 
3.3%
Close Punctuation 24
 
3.3%
Dash Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
68
15.2%
40
9.0%
39
8.7%
36
8.1%
33
 
7.4%
33
 
7.4%
32
 
7.2%
32
 
7.2%
32
 
7.2%
12
 
2.7%
Other values (34) 89
20.0%
Decimal Number
ValueCountFrequency (%)
1 24
20.0%
2 20
16.7%
5 15
12.5%
4 12
10.0%
3 10
8.3%
6 10
8.3%
7 9
 
7.5%
0 8
 
6.7%
8 6
 
5.0%
9 6
 
5.0%
Space Separator
ValueCountFrequency (%)
103
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 446
61.7%
Common 277
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
68
15.2%
40
9.0%
39
8.7%
36
8.1%
33
 
7.4%
33
 
7.4%
32
 
7.2%
32
 
7.2%
32
 
7.2%
12
 
2.7%
Other values (34) 89
20.0%
Common
ValueCountFrequency (%)
103
37.2%
( 24
 
8.7%
1 24
 
8.7%
) 24
 
8.7%
2 20
 
7.2%
5 15
 
5.4%
4 12
 
4.3%
3 10
 
3.6%
6 10
 
3.6%
7 9
 
3.2%
Other values (4) 26
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 446
61.7%
ASCII 277
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
37.2%
( 24
 
8.7%
1 24
 
8.7%
) 24
 
8.7%
2 20
 
7.2%
5 15
 
5.4%
4 12
 
4.3%
3 10
 
3.6%
6 10
 
3.6%
7 9
 
3.2%
Other values (4) 26
 
9.4%
Hangul
ValueCountFrequency (%)
68
15.2%
40
9.0%
39
8.7%
36
8.1%
33
 
7.4%
33
 
7.4%
32
 
7.2%
32
 
7.2%
32
 
7.2%
12
 
2.7%
Other values (34) 89
20.0%
Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-09-29T01:11:50.924995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20.5
Mean length18.6875
Min length15

Characters and Unicode

Total characters598
Distinct characters38
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

Unique28 ?
Unique (%)87.5%

Sample

1st row대구광역시 수성구 파동 1-1
2nd row대구광역시 수성구 파동 13-5
3rd row대구광역시 수성구 황금2동 764
4th row대구광역시 수성구 황금동 478-4
5th row대구광역시 수성구 만촌1동 636-4
ValueCountFrequency (%)
대구광역시 32
25.0%
수성구 32
25.0%
파동 5
 
3.9%
황금동 3
 
2.3%
수성동2가 3
 
2.3%
범어동 3
 
2.3%
9 2
 
1.6%
사월동 2
 
1.6%
신매동 2
 
1.6%
만촌1동 2
 
1.6%
Other values (40) 42
32.8%
2023-09-29T01:11:52.452721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
16.1%
64
 
10.7%
38
 
6.4%
38
 
6.4%
33
 
5.5%
32
 
5.4%
32
 
5.4%
32
 
5.4%
32
 
5.4%
1 26
 
4.3%
Other values (28) 175
29.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 350
58.5%
Decimal Number 127
 
21.2%
Space Separator 96
 
16.1%
Dash Punctuation 25
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
64
18.3%
38
10.9%
38
10.9%
33
9.4%
32
9.1%
32
9.1%
32
9.1%
32
9.1%
6
 
1.7%
5
 
1.4%
Other values (16) 38
10.9%
Decimal Number
ValueCountFrequency (%)
1 26
20.5%
4 18
14.2%
2 17
13.4%
3 17
13.4%
9 11
8.7%
6 11
8.7%
5 8
 
6.3%
0 8
 
6.3%
8 6
 
4.7%
7 5
 
3.9%
Space Separator
ValueCountFrequency (%)
96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 350
58.5%
Common 248
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
64
18.3%
38
10.9%
38
10.9%
33
9.4%
32
9.1%
32
9.1%
32
9.1%
32
9.1%
6
 
1.7%
5
 
1.4%
Other values (16) 38
10.9%
Common
ValueCountFrequency (%)
96
38.7%
1 26
 
10.5%
- 25
 
10.1%
4 18
 
7.3%
2 17
 
6.9%
3 17
 
6.9%
9 11
 
4.4%
6 11
 
4.4%
5 8
 
3.2%
0 8
 
3.2%
Other values (2) 11
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 350
58.5%
ASCII 248
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
38.7%
1 26
 
10.5%
- 25
 
10.1%
4 18
 
7.3%
2 17
 
6.9%
3 17
 
6.9%
9 11
 
4.4%
6 11
 
4.4%
5 8
 
3.2%
0 8
 
3.2%
Other values (2) 11
 
4.4%
Hangul
ValueCountFrequency (%)
64
18.3%
38
10.9%
38
10.9%
33
9.4%
32
9.1%
32
9.1%
32
9.1%
32
9.1%
6
 
1.7%
5
 
1.4%
Other values (16) 38
10.9%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
한국통신사업자협회
32 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국통신사업자협회 32
100.0%

Length

2023-09-29T01:11:53.729543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:11:54.397964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국통신사업자협회 32
100.0%

관리기관전화번호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
1899-4876
31 
1899-4877
 
1

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row1899-4876
2nd row1899-4876
3rd row1899-4876
4th row1899-4876
5th row1899-4876

Common Values

ValueCountFrequency (%)
1899-4876 31
96.9%
1899-4877 1
 
3.1%

Length

2023-09-29T01:11:55.343020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:11:55.924147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1899-4876 31
96.9%
1899-4877 1
 
3.1%

위도
Real number (ℝ)

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.844882
Minimum35.815527
Maximum35.873272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-09-29T01:11:56.773829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.815527
5-th percentile35.820651
Q135.835782
median35.844018
Q335.855701
95-th percentile35.87202
Maximum35.873272
Range0.0577453
Interquartile range (IQR)0.019918563

Descriptive statistics

Standard deviation0.015689407
Coefficient of variation (CV)0.00043770285
Kurtosis-0.61604691
Mean35.844882
Median Absolute Deviation (MAD)0.01171065
Skewness-0.007990739
Sum1147.0362
Variance0.00024615749
MonotonicityNot monotonic
2023-09-29T01:11:57.657081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
35.8580437 2
 
6.2%
35.8265788 1
 
3.1%
35.854781 1
 
3.1%
35.8721894 1
 
3.1%
35.842384 1
 
3.1%
35.8369895827 1
 
3.1%
35.8179961 1
 
3.1%
35.855141 1
 
3.1%
35.8556725 1
 
3.1%
35.8650802 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
35.8155269 1
3.1%
35.8179961 1
3.1%
35.8228231 1
3.1%
35.8235825 1
3.1%
35.8247805 1
3.1%
35.8265788 1
3.1%
35.8292435 1
3.1%
35.8321593 1
3.1%
35.8369895827 1
3.1%
35.837132 1
3.1%
ValueCountFrequency (%)
35.8732722 1
3.1%
35.8721894 1
3.1%
35.871882 1
3.1%
35.8650802 1
3.1%
35.8619736 1
3.1%
35.8580437 2
6.2%
35.8557848 1
3.1%
35.8556725 1
3.1%
35.855141 1
3.1%
35.854781 1
3.1%

경도
Real number (ℝ)

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.63901
Minimum128.60706
Maximum128.72436
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-09-29T01:11:58.675298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.60706
5-th percentile128.60862
Q1128.61542
median128.62095
Q3128.64111
95-th percentile128.71804
Maximum128.72436
Range0.1173007
Interquartile range (IQR)0.02569925

Descriptive statistics

Standard deviation0.037709764
Coefficient of variation (CV)0.00029314408
Kurtosis0.61728752
Mean128.63901
Median Absolute Deviation (MAD)0.0095859
Skewness1.4476034
Sum4116.4483
Variance0.0014220263
MonotonicityNot monotonic
2023-09-29T01:11:59.614773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
128.630511 2
 
6.2%
128.6070623 1
 
3.1%
128.619027 1
 
3.1%
128.6393415 1
 
3.1%
128.724363 1
 
3.1%
128.712875 1
 
3.1%
128.615633 1
 
3.1%
128.616753 1
 
3.1%
128.616974 1
 
3.1%
128.618422 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
128.6070623 1
3.1%
128.6083675 1
3.1%
128.608831 1
3.1%
128.609412 1
3.1%
128.6113392 1
3.1%
128.6122124 1
3.1%
128.615104 1
3.1%
128.615212 1
3.1%
128.6154835 1
3.1%
128.615633 1
3.1%
ValueCountFrequency (%)
128.724363 1
3.1%
128.7243619 1
3.1%
128.712875 1
3.1%
128.712423 1
3.1%
128.706613 1
3.1%
128.6951977 1
3.1%
128.646511 1
3.1%
128.646435 1
3.1%
128.6393415 1
3.1%
128.6381642 1
3.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2019-08-14
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-08-14
2nd row2019-08-14
3rd row2019-08-14
4th row2019-08-14
5th row2019-08-14

Common Values

ValueCountFrequency (%)
2019-08-14 32
100.0%

Length

2023-09-29T01:12:00.427840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-29T01:12:00.963147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-08-14 32
100.0%

Interactions

2023-09-29T01:11:30.015052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-29T01:11:28.596210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-29T01:11:30.562574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-29T01:11:29.217587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-09-29T01:12:01.513937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치장소명설치장소상세설치시설구분서비스제공사명설치년월소재지도로명주소소재지지번주소관리기관전화번호위도경도
설치장소명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설치장소상세1.0001.0000.9940.0000.9291.0001.0001.0000.5630.354
설치시설구분1.0000.9941.0000.1000.6381.0001.0000.0000.5940.397
서비스제공사명1.0000.0000.1001.0000.2151.0000.9450.0000.0000.295
설치년월1.0000.9290.6380.2151.0001.0000.9571.0000.4300.533
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0000.9450.9571.0001.0001.0001.0001.000
관리기관전화번호1.0001.0000.0000.0001.0001.0001.0001.0000.2690.357
위도1.0000.5630.5940.0000.4301.0001.0000.2691.0000.491
경도1.0000.3540.3970.2950.5331.0001.0000.3570.4911.000
2023-09-29T01:12:02.158484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관전화번호설치년월설치시설구분서비스제공사명설치장소상세
관리기관전화번호1.0000.9660.0000.0000.966
설치년월0.9661.0000.4270.1930.645
설치시설구분0.0000.4271.0000.1570.900
서비스제공사명0.0000.1930.1571.0000.000
설치장소상세0.9660.6450.9000.0001.000
2023-09-29T01:12:02.756198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치장소상세설치시설구분서비스제공사명설치년월관리기관전화번호
위도1.0000.1930.3170.3840.0000.2200.149
경도0.1931.0000.2300.4020.1770.3680.350
설치장소상세0.3170.2301.0000.9000.0000.6450.966
설치시설구분0.3840.4020.9001.0000.1570.4270.000
서비스제공사명0.0000.1770.0000.1571.0000.1930.000
설치년월0.2200.3680.6450.4270.1931.0000.966
관리기관전화번호0.1490.3500.9660.0000.0000.9661.000

Missing values

2023-09-29T01:11:32.025113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-29T01:11:34.317340image/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 1-1한국통신사업자협회1899-487635.826579128.6070622019-08-14
1애활원휴게실대구광역시수성구서민·복지시설LGU+Public WiFi Free2013-12대구광역시 수성구 파동로51길 74(파동)대구광역시 수성구 파동 13-5한국통신사업자협회1899-487635.822823128.6088312019-08-14
2황금시장시장 입구대구광역시수성구서민·복지시설LGU+Public WiFi Free2013-12대구광역시 수성구 희망로 201(황금동)대구광역시 수성구 황금2동 764한국통신사업자협회1899-487635.846844128.6209662019-08-14
3노인종합복지회관휴게실대구광역시수성구서민·복지시설LGU+Public WiFi Free2013-12대구광역시 수성구 청수로35길 47(황금동)대구광역시 수성구 황금동 478-4한국통신사업자협회1899-487635.841141128.6299012019-08-14
4SOS아동보호센터휴게실대구광역시수성구서민·복지시설KTPublic WiFi Free2013-12대구광역시 수성구 무열로 171(만촌동)대구광역시 수성구 만촌1동 636-4한국통신사업자협회1899-487635.873272128.6465112019-08-14
5수성구청 별관민원실대구광역시수성구관공서KTPublic WiFi Free2013-12대구광역시 수성구 달구벌대로 2450(범어동)대구광역시 수성구 범어동 238-3한국통신사업자협회1899-487635.858044128.6305112019-08-14
6수성구청 본관민원실대구광역시수성구관공서KTPublic WiFi Free2013-12대구광역시 수성구 달구벌대로 2450(범어동)대구광역시 수성구 범어동 238-3한국통신사업자협회1899-487635.858044128.6305112019-08-14
7성림아동원휴게실대구광역시수성구서민·복지시설KTPublic WiFi Free2013-12대구광역시 수성구 성동로 74-16(사월동)대구광역시 수성구 사월동 9한국통신사업자협회1899-487635.842375128.7243622019-08-14
8인제요양원휴게실대구광역시수성구서민·복지시설KTPublic WiFi Free2013-12대구광역시 수성구 신천동로84길 21(수성동4가)대구광역시 수성구 수성동4가 1225-2한국통신사업자협회1899-487635.861974128.6113392019-08-14
9애망요양원휴게실대구광역시수성구서민·복지시설KTPublic WiFi Free2013-12대구광역시 수성구 파동로51길 56(파동)대구광역시 수성구 파동 18한국통신사업자협회1899-487635.823583128.6083682019-08-14
설치장소명설치장소상세설치시도명설치시군구명설치시설구분서비스제공사명와이파이SSID설치년월소재지도로명주소소재지지번주소관리기관명관리기관전화번호위도경도데이터기준일자
22두산동주민센터민원실대구광역시수성구관공서KTPublic WiFi Free2015-10대구광역시 수성구 무학로 112 (두산동) 외대구광역시 수성구 두산동 499-4한국통신사업자협회1899-487635.829243128.6209282019-08-14
23만촌시장시장 입구대구광역시수성구서민·복지시설KTPublic WiFi Free2015-10대구광역시 수성구 무열로29길 24(만촌동)대구광역시 수성구 만촌동 640-1한국통신사업자협회1899-487635.871882128.6464352019-08-14
24동성시장시장 입구대구광역시수성구서민·복지시설KTPublic WiFi Free2015-10대구광역시 수성구 들안로 287외대구광역시 수성구 수성동2가 39-91한국통신사업자협회1899-487635.855785128.6170542019-08-14
25신천시장시장 입구대구광역시수성구서민·복지시설SKTPublic WiFi Free2015-10대구광역시 수성구 들안로 392외대구광역시 수성구 범어동 1430한국통신사업자협회1899-487635.86508128.6184222019-08-14
26수성시장시장 입구대구광역시수성구서민·복지시설SKTPublic WiFi Free2015-10대구광역시 수성구 들안로 285-57대구광역시 수성구 수성동2가 39-16한국통신사업자협회1899-487635.855672128.6169742019-08-14
27태백시장시장 입구대구광역시수성구서민·복지시설SKTPublic WiFi Free2015-10대구광역시 수성구 들안로 281대구광역시 수성구 수성동2가 39-4한국통신사업자협회1899-487635.855141128.6167532019-08-14
28목련모자원휴게실대구광역시수성구서민·복지시설SKTPublic WiFi Free2015-10대구광역시 수성구 파동로26길 6대구광역시 수성구 파동 133-11한국통신사업자협회1899-487635.817996128.6156332019-08-14
29고산권보건복지센터민원실대구광역시수성구관공서LGU+Public WiFi Free2015-10대구광역시 수성구 욱수천로 99대구광역시 수성구 신매동 170-2한국통신사업자협회1899-487635.83699128.7128752019-08-14
30성림노인요양원휴게실대구광역시수성구서민·복지시설SKTPublic WiFi Free2015-10대구광역시 수성구 성동로 74-16대구광역시 수성구 사월동 9한국통신사업자협회1899-487635.842384128.7243632019-08-14
31화랑공원지역문화시설대구광역시수성구서민·복지시설SKTPublic WiFi Free2018-09대구광역시 수성구 만촌로 151대구광역시 수성구 만촌1동 1417한국통신사업자협회1899-487735.872189128.6393422019-08-14