Overview

Dataset statistics

Number of variables15
Number of observations347
Missing cells29
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.5 KiB
Average record size in memory122.4 B

Variable types

Text4
Categorical7
DateTime2
Numeric2

Alerts

설치시도명 has constant value ""Constant
와이파이SSID has constant value ""Constant
데이터기준일자 has constant value ""Constant
설치시군구명 is highly overall correlated with 관리기관명 and 1 other fieldsHigh correlation
관리기관전화번호 is highly overall correlated with 설치시군구명 and 2 other fieldsHigh correlation
관리기관명 is highly overall correlated with 설치시군구명 and 1 other fieldsHigh correlation
서비스제공사명 is highly overall correlated with 관리기관전화번호High correlation
소재지지번주소 has 29 (8.4%) missing valuesMissing

Reproduction

Analysis started2024-04-19 05:21:43.022780
Analysis finished2024-04-19 05:21:44.482513
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치장소명
Text

Distinct330
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-19T14:21:44.641497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length11
Mean length7.204611
Min length3

Characters and Unicode

Total characters2500
Distinct characters247
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique322 ?
Unique (%)92.8%

Sample

1st row서문시장 제4지구
2nd row서문시장 제5지구
3rd row남문시장
4th row교동시장
5th row서문시장 명품프라자 상가
ValueCountFrequency (%)
행정복지센터 22
 
5.4%
주민센터 17
 
4.1%
동대구로 7
 
1.7%
동촌유원지 5
 
1.2%
서문시장 4
 
1.0%
칠성시장 4
 
1.0%
터미널먹거리촌 3
 
0.7%
보건소 3
 
0.7%
서부도서관 2
 
0.5%
수성구청 2
 
0.5%
Other values (336) 342
83.2%
2024-04-19T14:21:44.998293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 141
 
5.6%
터 129
 
5.2%
센 122
 
4.9%
지 99
 
4.0%
장 90
 
3.6%
시 76
 
3.0%
복 75
 
3.0%
구 65
 
2.6%
64
 
2.6%
민 60
 
2.4%
Other values (237) 1579
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2317
92.7%
Decimal Number 87
 
3.5%
Space Separator 64
 
2.6%
Open Punctuation 10
 
0.4%
Close Punctuation 10
 
0.4%
Uppercase Letter 6
 
0.2%
Other Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 141
 
6.1%
터 129
 
5.6%
센 122
 
5.3%
지 99
 
4.3%
장 90
 
3.9%
시 76
 
3.3%
복 75
 
3.2%
구 65
 
2.8%
민 60
 
2.6%
주 59
 
2.5%
Other values (220) 1401
60.5%
Decimal Number
ValueCountFrequency (%)
1 27
31.0%
2 24
27.6%
3 16
18.4%
4 9
 
10.3%
5 6
 
6.9%
6 2
 
2.3%
9 1
 
1.1%
7 1
 
1.1%
0 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
· 3
50.0%
, 2
33.3%
. 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
S 4
66.7%
O 2
33.3%
Space Separator
ValueCountFrequency (%)
64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2317
92.7%
Common 177
 
7.1%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 141
 
6.1%
터 129
 
5.6%
센 122
 
5.3%
지 99
 
4.3%
장 90
 
3.9%
시 76
 
3.3%
복 75
 
3.2%
구 65
 
2.8%
민 60
 
2.6%
주 59
 
2.5%
Other values (220) 1401
60.5%
Common
ValueCountFrequency (%)
64
36.2%
1 27
15.3%
2 24
 
13.6%
3 16
 
9.0%
( 10
 
5.6%
) 10
 
5.6%
4 9
 
5.1%
5 6
 
3.4%
· 3
 
1.7%
, 2
 
1.1%
Other values (5) 6
 
3.4%
Latin
ValueCountFrequency (%)
S 4
66.7%
O 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2317
92.7%
ASCII 180
 
7.2%
None 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 141
 
6.1%
터 129
 
5.6%
센 122
 
5.3%
지 99
 
4.3%
장 90
 
3.9%
시 76
 
3.3%
복 75
 
3.2%
구 65
 
2.8%
민 60
 
2.6%
주 59
 
2.5%
Other values (220) 1401
60.5%
ASCII
ValueCountFrequency (%)
64
35.6%
1 27
15.0%
2 24
 
13.3%
3 16
 
8.9%
( 10
 
5.6%
) 10
 
5.6%
4 9
 
5.0%
5 6
 
3.3%
S 4
 
2.2%
, 2
 
1.1%
Other values (6) 8
 
4.4%
None
ValueCountFrequency (%)
· 3
100.0%

설치장소상세
Text

Distinct68
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-19T14:21:45.240520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length3
Mean length3.6599424
Min length2

Characters and Unicode

Total characters1270
Distinct characters134
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)13.3%

Sample

1st row상가통로
2nd row상가통로
3rd row상가통로 및 옥상
4th row상가통로 및 옥상
5th row상가 통로
ValueCountFrequency (%)
민원실 140
33.0%
전체 70
16.5%
휴게실 20
 
4.7%
시장내 17
 
4.0%
내 14
 
3.3%
사무실 13
 
3.1%
일대 11
 
2.6%
입구 8
 
1.9%
시장 7
 
1.7%
칠성시장 5
 
1.2%
Other values (75) 119
28.1%
2024-04-19T14:21:45.616847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
실 183
14.4%
원 146
 
11.5%
민 145
 
11.4%
79
 
6.2%
체 72
 
5.7%
전 71
 
5.6%
장 50
 
3.9%
시 44
 
3.5%
내 35
 
2.8%
게 20
 
1.6%
Other values (124) 425
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1173
92.4%
Space Separator 79
 
6.2%
Other Punctuation 12
 
0.9%
Decimal Number 4
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 183
15.6%
원 146
 
12.4%
민 145
 
12.4%
체 72
 
6.1%
전 71
 
6.1%
장 50
 
4.3%
시 44
 
3.8%
내 35
 
3.0%
게 20
 
1.7%
휴 20
 
1.7%
Other values (118) 387
33.0%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 2
50.0%
Space Separator
ValueCountFrequency (%)
79
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1167
91.9%
Common 97
 
7.6%
Han 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
실 183
15.7%
원 146
 
12.5%
민 145
 
12.4%
체 72
 
6.2%
전 71
 
6.1%
장 50
 
4.3%
시 44
 
3.8%
내 35
 
3.0%
게 20
 
1.7%
휴 20
 
1.7%
Other values (117) 381
32.6%
Common
ValueCountFrequency (%)
79
81.4%
, 12
 
12.4%
1 2
 
2.1%
2 2
 
2.1%
( 1
 
1.0%
) 1
 
1.0%
Han
ValueCountFrequency (%)
內 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1167
91.9%
ASCII 97
 
7.6%
CJK 6
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
실 183
15.7%
원 146
 
12.5%
민 145
 
12.4%
체 72
 
6.2%
전 71
 
6.1%
장 50
 
4.3%
시 44
 
3.8%
내 35
 
3.0%
게 20
 
1.7%
휴 20
 
1.7%
Other values (117) 381
32.6%
ASCII
ValueCountFrequency (%)
79
81.4%
, 12
 
12.4%
1 2
 
2.1%
2 2
 
2.1%
( 1
 
1.0%
) 1
 
1.0%
CJK
ValueCountFrequency (%)
內 6
100.0%

설치시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
대구광역시
347 

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 347
100.0%

Length

2024-04-19T14:21:45.749008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:21:45.854057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 347
100.0%

설치시군구명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
서구
61 
동구
57 
달서구
57 
북구
43 
남구
38 
Other values (3)
91 

Length

Max length3
Median length2
Mean length2.3400576
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서구 61
17.6%
동구 57
16.4%
달서구 57
16.4%
북구 43
12.4%
남구 38
11.0%
수성구 32
9.2%
중구 30
8.6%
달성군 29
8.4%

Length

2024-04-19T14:21:45.967525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:21:46.080711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 61
17.6%
동구 57
16.4%
달서구 57
16.4%
북구 43
12.4%
남구 38
11.0%
수성구 32
9.2%
중구 30
8.6%
달성군 29
8.4%

설치시설구분
Categorical

Distinct8
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
관공서
142 
서민·복지시설
108 
기타
71 
편의시설
 
12
교통시설
 
6
Other values (3)
 
8

Length

Max length7
Median length6
Mean length4.1383285
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
관공서 142
40.9%
서민·복지시설 108
31.1%
기타 71
20.5%
편의시설 12
 
3.5%
교통시설 6
 
1.7%
지역문화시설 5
 
1.4%
교육시설 2
 
0.6%
관광 1
 
0.3%

Length

2024-04-19T14:21:46.216087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:21:46.332718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관공서 142
40.9%
서민·복지시설 108
31.1%
기타 71
20.5%
편의시설 12
 
3.5%
교통시설 6
 
1.7%
지역문화시설 5
 
1.4%
교육시설 2
 
0.6%
관광 1
 
0.3%

서비스제공사명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
KT
131 
SKT
92 
LGU+
92 
LG U+
18 
자가망
 
10
Other values (3)
 
4

Length

Max length12
Median length8
Mean length3.037464
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
KT 131
37.8%
SKT 92
26.5%
LGU+ 92
26.5%
LG U+ 18
 
5.2%
자가망 10
 
2.9%
자체설치 2
 
0.6%
KT, LGU+ 1
 
0.3%
KT(구청 자체 설치) 1
 
0.3%

Length

2024-04-19T14:21:46.459720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:21:46.565942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kt 132
35.9%
lgu 93
25.3%
skt 92
25.0%
lg 18
 
4.9%
u 18
 
4.9%
자가망 10
 
2.7%
자체설치 2
 
0.5%
kt(구청 1
 
0.3%
자체 1
 
0.3%
설치 1
 
0.3%

와이파이SSID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Public WiFi Free
347 

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 347
100.0%

Length

2024-04-19T14:21:46.689481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:21:46.787005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
public 347
33.3%
wifi 347
33.3%
free 347
33.3%

설치년월
Date

Distinct8
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2020-01-01 00:00:00
Maximum2020-12-01 00:00:00
2024-04-19T14:21:46.864807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:21:46.954181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

소재지도로명주소
Text

Distinct318
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-19T14:21:47.285914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length20.293948
Min length13

Characters and Unicode

Total characters7042
Distinct characters174
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

Unique297 ?
Unique (%)85.6%

Sample

1st row대구광역시 중구 큰장로28길 28
2nd row대구광역시 중구 큰장로26길6
3rd row대구광역시 중구 명륜로 70
4th row대구광역시 중구 교동길 40
5th row대구광역시 중구 큰장로28길 27
ValueCountFrequency (%)
대구광역시 347
23.9%
서구 61
 
4.2%
동구 57
 
3.9%
달서구 57
 
3.9%
북구 43
 
3.0%
남구 38
 
2.6%
수성구 32
 
2.2%
중구 30
 
2.1%
달성군 29
 
2.0%
용산동 10
 
0.7%
Other values (494) 747
51.5%
2024-04-19T14:21:47.799058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1104
 
15.7%
구 706
 
10.0%
대 415
 
5.9%
시 355
 
5.0%
역 348
 
4.9%
광 347
 
4.9%
로 331
 
4.7%
동 247
 
3.5%
1 205
 
2.9%
길 184
 
2.6%
Other values (164) 2800
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4455
63.3%
Decimal Number 1175
 
16.7%
Space Separator 1104
 
15.7%
Close Punctuation 131
 
1.9%
Open Punctuation 131
 
1.9%
Dash Punctuation 46
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 706
15.8%
대 415
 
9.3%
시 355
 
8.0%
역 348
 
7.8%
광 347
 
7.8%
로 331
 
7.4%
동 247
 
5.5%
길 184
 
4.1%
서 143
 
3.2%
달 117
 
2.6%
Other values (150) 1262
28.3%
Decimal Number
ValueCountFrequency (%)
1 205
17.4%
2 161
13.7%
3 133
11.3%
4 130
11.1%
5 116
9.9%
7 104
8.9%
9 87
7.4%
6 86
7.3%
0 81
 
6.9%
8 72
 
6.1%
Space Separator
ValueCountFrequency (%)
1104
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4455
63.3%
Common 2587
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 706
15.8%
대 415
 
9.3%
시 355
 
8.0%
역 348
 
7.8%
광 347
 
7.8%
로 331
 
7.4%
동 247
 
5.5%
길 184
 
4.1%
서 143
 
3.2%
달 117
 
2.6%
Other values (150) 1262
28.3%
Common
ValueCountFrequency (%)
1104
42.7%
1 205
 
7.9%
2 161
 
6.2%
3 133
 
5.1%
) 131
 
5.1%
( 131
 
5.1%
4 130
 
5.0%
5 116
 
4.5%
7 104
 
4.0%
9 87
 
3.4%
Other values (4) 285
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4455
63.3%
ASCII 2587
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1104
42.7%
1 205
 
7.9%
2 161
 
6.2%
3 133
 
5.1%
) 131
 
5.1%
( 131
 
5.1%
4 130
 
5.0%
5 116
 
4.5%
7 104
 
4.0%
9 87
 
3.4%
Other values (4) 285
 
11.0%
Hangul
ValueCountFrequency (%)
구 706
15.8%
대 415
 
9.3%
시 355
 
8.0%
역 348
 
7.8%
광 347
 
7.8%
로 331
 
7.4%
동 247
 
5.5%
길 184
 
4.1%
서 143
 
3.2%
달 117
 
2.6%
Other values (150) 1262
28.3%

소재지지번주소
Text

MISSING 

Distinct296
Distinct (%)93.1%
Missing29
Missing (%)8.4%
Memory size2.8 KiB
2024-04-19T14:21:48.036471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length18.540881
Min length15

Characters and Unicode

Total characters5896
Distinct characters109
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

Unique281 ?
Unique (%)88.4%

Sample

1st row대구광역시 중구 대신동115-377
2nd row대구광역시 중구 대신동 115-400
3rd row대구광역시 중구 남산1동 698-22
4th row대구광역시 중구 교동 67-12
5th row대구광역시 중구 대신동 115-112
ValueCountFrequency (%)
대구광역시 318
25.2%
서구 61
 
4.8%
동구 57
 
4.5%
달서구 57
 
4.5%
북구 43
 
3.4%
남구 38
 
3.0%
수성구 32
 
2.5%
중구 30
 
2.4%
대명동 25
 
2.0%
평리동 19
 
1.5%
Other values (406) 580
46.0%
2024-04-19T14:21:48.681977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
942
16.0%
구 638
 
10.8%
동 376
 
6.4%
대 366
 
6.2%
시 319
 
5.4%
광 318
 
5.4%
역 318
 
5.4%
1 315
 
5.3%
- 251
 
4.3%
2 180
 
3.1%
Other values (99) 1873
31.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3311
56.2%
Decimal Number 1392
23.6%
Space Separator 942
 
16.0%
Dash Punctuation 251
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 638
19.3%
동 376
11.4%
대 366
11.1%
시 319
9.6%
광 318
9.6%
역 318
9.6%
서 121
 
3.7%
달 57
 
1.7%
산 52
 
1.6%
성 51
 
1.5%
Other values (87) 695
21.0%
Decimal Number
ValueCountFrequency (%)
1 315
22.6%
2 180
12.9%
3 163
11.7%
4 146
10.5%
0 111
 
8.0%
5 105
 
7.5%
7 96
 
6.9%
6 96
 
6.9%
9 93
 
6.7%
8 87
 
6.2%
Space Separator
ValueCountFrequency (%)
942
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 251
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3311
56.2%
Common 2585
43.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 638
19.3%
동 376
11.4%
대 366
11.1%
시 319
9.6%
광 318
9.6%
역 318
9.6%
서 121
 
3.7%
달 57
 
1.7%
산 52
 
1.6%
성 51
 
1.5%
Other values (87) 695
21.0%
Common
ValueCountFrequency (%)
942
36.4%
1 315
 
12.2%
- 251
 
9.7%
2 180
 
7.0%
3 163
 
6.3%
4 146
 
5.6%
0 111
 
4.3%
5 105
 
4.1%
7 96
 
3.7%
6 96
 
3.7%
Other values (2) 180
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3311
56.2%
ASCII 2585
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
942
36.4%
1 315
 
12.2%
- 251
 
9.7%
2 180
 
7.0%
3 163
 
6.3%
4 146
 
5.6%
0 111
 
4.3%
5 105
 
4.1%
7 96
 
3.7%
6 96
 
3.7%
Other values (2) 180
 
7.0%
Hangul
ValueCountFrequency (%)
구 638
19.3%
동 376
11.4%
대 366
11.1%
시 319
9.6%
광 318
9.6%
역 318
9.6%
서 121
 
3.7%
달 57
 
1.7%
산 52
 
1.6%
성 51
 
1.5%
Other values (87) 695
21.0%

관리기관명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
대구광역시 서구청
61 
대구광역시 동구청
57 
대구광역시 달서구청
57 
대구광역시 북구청
43 
대구광역시 남구청
38 
Other values (3)
91 

Length

Max length10
Median length9
Mean length9.2478386
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 서구청 61
17.6%
대구광역시 동구청 57
16.4%
대구광역시 달서구청 57
16.4%
대구광역시 북구청 43
12.4%
대구광역시 남구청 38
11.0%
한국통신사업자협회 32
9.2%
대구광역시 중구청 30
8.6%
대구광역시 달성군청 29
8.4%

Length

2024-04-19T14:21:48.813556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:21:48.925048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 315
47.6%
서구청 61
 
9.2%
동구청 57
 
8.6%
달서구청 57
 
8.6%
북구청 43
 
6.5%
남구청 38
 
5.7%
한국통신사업자협회 32
 
4.8%
중구청 30
 
4.5%
달성군청 29
 
4.4%

관리기관전화번호
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
053-663-2473
61 
053-662-2472
57 
053-667-2471
57 
053-665-2477
42 
053-664-2474
38 
Other values (5)
92 

Length

Max length13
Median length12
Mean length11.726225
Min length9

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row053-661-2474
2nd row053-661-2474
3rd row053-661-2474
4th row053-661-2474
5th row053-661-2474

Common Values

ValueCountFrequency (%)
053-663-2473 61
17.6%
053-662-2472 57
16.4%
053-667-2471 57
16.4%
053-665-2477 42
12.1%
053-664-2474 38
11.0%
1899-4876 31
8.9%
053-661-2474 30
8.6%
053-668-2473 29
8.4%
000-0000-0000 1
 
0.3%
1899-4877 1
 
0.3%

Length

2024-04-19T14:21:49.072638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:21:49.209693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-663-2473 61
17.6%
053-662-2472 57
16.4%
053-667-2471 57
16.4%
053-665-2477 42
12.1%
053-664-2474 38
11.0%
1899-4876 31
8.9%
053-661-2474 30
8.6%
053-668-2473 29
8.4%
000-0000-0000 1
 
0.3%
1899-4877 1
 
0.3%

위도
Real number (ℝ)

Distinct316
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.856626
Minimum35.657787
Maximum35.948015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-19T14:21:49.354191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.657787
5-th percentile35.778848
Q135.842405
median35.86504
Q335.879877
95-th percentile35.910373
Maximum35.948015
Range0.29022843
Interquartile range (IQR)0.03747155

Descriptive statistics

Standard deviation0.043877893
Coefficient of variation (CV)0.0012237039
Kurtosis5.10296
Mean35.856626
Median Absolute Deviation (MAD)0.017883
Skewness-1.7151082
Sum12442.249
Variance0.0019252695
MonotonicityNot monotonic
2024-04-19T14:21:49.503606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.8718022 4
 
1.2%
35.8534129 4
 
1.2%
35.8772404 4
 
1.2%
35.8367855 3
 
0.9%
35.803907 3
 
0.9%
35.8580437 2
 
0.6%
35.8722732 2
 
0.6%
35.8122214 2
 
0.6%
35.8432344 2
 
0.6%
35.7233173 2
 
0.6%
Other values (306) 319
91.9%
ValueCountFrequency (%)
35.65778707 1
0.3%
35.6587707 1
0.3%
35.6938854 1
0.3%
35.6948119 1
0.3%
35.6973681 1
0.3%
35.69757655 1
0.3%
35.6988635 1
0.3%
35.70013059 1
0.3%
35.70169037 1
0.3%
35.7226391 1
0.3%
ValueCountFrequency (%)
35.9480155 1
0.3%
35.9449107 1
0.3%
35.9442414 1
0.3%
35.9428816 1
0.3%
35.9423746 1
0.3%
35.9400873 1
0.3%
35.9378261 1
0.3%
35.937318 2
0.6%
35.93623885 1
0.3%
35.9316356 1
0.3%

경도
Real number (ℝ)

Distinct316
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.57663
Minimum128.4127
Maximum128.73412
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-19T14:21:49.639543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.4127
5-th percentile128.46165
Q1128.54696
median128.57635
Q3128.61507
95-th percentile128.65179
Maximum128.73412
Range0.3214199
Interquartile range (IQR)0.0681033

Descriptive statistics

Standard deviation0.05572945
Coefficient of variation (CV)0.00043343373
Kurtosis0.80038297
Mean128.57663
Median Absolute Deviation (MAD)0.0320176
Skewness-0.29273473
Sum44616.092
Variance0.0031057716
MonotonicityNot monotonic
2024-04-19T14:21:49.783117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5592204 4
 
1.2%
128.5251887 4
 
1.2%
128.6039645 4
 
1.2%
128.5577515 3
 
0.9%
128.500813 3
 
0.9%
128.630552 2
 
0.6%
128.5455773 2
 
0.6%
128.5228091 2
 
0.6%
128.5878291 2
 
0.6%
128.4545652 2
 
0.6%
Other values (306) 319
91.9%
ValueCountFrequency (%)
128.4127038 1
0.3%
128.4135612 1
0.3%
128.4201906 1
0.3%
128.4217832 1
0.3%
128.4313244 2
0.6%
128.4403309 1
0.3%
128.4418193 1
0.3%
128.4448339 1
0.3%
128.4476609 1
0.3%
128.4519198 1
0.3%
ValueCountFrequency (%)
128.7341237 1
0.3%
128.7243619 2
0.6%
128.7128214 1
0.3%
128.7124229 1
0.3%
128.7108358 1
0.3%
128.7066132 1
0.3%
128.7024201 1
0.3%
128.7021131 1
0.3%
128.6951977 1
0.3%
128.692827529 1
0.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2020-06-30 00:00:00
Maximum2020-06-30 00:00:00
2024-04-19T14:21:49.897913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:21:49.999678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-19T14:21:43.991174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:21:43.806556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:21:44.087694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:21:43.896910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-19T14:21:50.111476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치장소상세설치시군구명설치시설구분서비스제공사명설치년월관리기관명관리기관전화번호위도경도
설치장소상세1.0000.8810.9840.8810.6790.8810.9430.0000.000
설치시군구명0.8811.0000.6520.8110.8931.0001.0000.6150.699
설치시설구분0.9840.6521.0000.6140.5370.6520.4950.2230.239
서비스제공사명0.8810.8110.6141.0000.7530.8110.7970.1490.294
설치년월0.6790.8930.5370.7531.0000.8930.8530.3460.555
관리기관명0.8811.0000.6520.8110.8931.0001.0000.6150.699
관리기관전화번호0.9431.0000.4950.7970.8531.0001.0000.6100.810
위도0.0000.6150.2230.1490.3460.6150.6101.0000.661
경도0.0000.6990.2390.2940.5550.6990.8100.6611.000
2024-04-19T14:21:50.234821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치시설구분설치시군구명관리기관전화번호서비스제공사명관리기관명
설치시설구분1.0000.2680.2620.2460.268
설치시군구명0.2681.0000.9970.3971.000
관리기관전화번호0.2620.9971.0000.5440.997
서비스제공사명0.2460.3970.5441.0000.397
관리기관명0.2681.0000.9970.3971.000
2024-04-19T14:21:50.332244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치시군구명설치시설구분서비스제공사명관리기관명관리기관전화번호
위도1.0000.4120.3590.1100.0720.3590.332
경도0.4121.0000.4280.1130.1450.4280.375
설치시군구명0.3590.4281.0000.2680.3971.0000.997
설치시설구분0.1100.1130.2681.0000.2460.2680.262
서비스제공사명0.0720.1450.3970.2461.0000.3970.544
관리기관명0.3590.4281.0000.2680.3971.0000.997
관리기관전화번호0.3320.3750.9970.2620.5440.9971.000

Missing values

2024-04-19T14:21:44.223963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-19T14:21:44.411076image/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
0서문시장 제4지구상가통로대구광역시중구기타LG U+Public WiFi Free2020-12대구광역시 중구 큰장로28길 28대구광역시 중구 대신동115-377대구광역시 중구청053-661-247435.869465128.5807672020-06-30
1서문시장 제5지구상가통로대구광역시중구기타SKTPublic WiFi Free2020-12대구광역시 중구 큰장로26길6대구광역시 중구 대신동 115-400대구광역시 중구청053-661-247435.868088128.5784312020-06-30
2남문시장상가통로 및 옥상대구광역시중구기타SKTPublic WiFi Free2020-12대구광역시 중구 명륜로 70대구광역시 중구 남산1동 698-22대구광역시 중구청053-661-247435.861071128.5919892020-06-30
3교동시장상가통로 및 옥상대구광역시중구기타LG U+Public WiFi Free2020-12대구광역시 중구 교동길 40대구광역시 중구 교동 67-12대구광역시 중구청053-661-247435.873255128.5967892020-06-30
4서문시장 명품프라자 상가상가 통로대구광역시중구기타KTPublic WiFi Free2020-12대구광역시 중구 큰장로28길 27대구광역시 중구 대신동 115-112대구광역시 중구청053-661-247435.869936128.5808982020-06-30
5중구보건소로비, 민원실대구광역시중구관공서KTPublic WiFi Free2020-12대구광역시 중구 태평로 45대구광역시 중구 태평로3가 174-1대구광역시 중구청053-661-247435.87787128.5833872020-06-30
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