Overview

Dataset statistics

Number of variables12
Number of observations804
Missing cells769
Missing cells (%)8.0%
Duplicate rows2
Duplicate rows (%)0.2%
Total size in memory77.1 KiB
Average record size in memory98.2 B

Variable types

Categorical7
Text3
Numeric2

Dataset

Description경기도 안산시 소재 공공와이파이 현황입니다.장소명, 와이파이SSID, 소재지 주소등의 데이터를 제공합니다.
Author경기도 안산시
URLhttps://www.data.go.kr/data/15123133/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
와이파이명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 2 (0.2%) duplicate rowsDuplicates
설치장소상세 is highly overall correlated with 설치시설구분High correlation
설치시설구분 is highly overall correlated with 설치장소상세High correlation
소재지도로명주소 has 630 (78.4%) missing valuesMissing
소재지지번주소 has 139 (17.3%) missing valuesMissing
위도 is highly skewed (γ1 = -27.16057953)Skewed

Reproduction

Analysis started2023-12-12 23:30:15.276075
Analysis finished2023-12-12 23:30:16.906800
Duration1.63 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
경기도
804 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 804
100.0%

Length

2023-12-13T08:30:16.984309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:30:17.071164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 804
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
안산시
804 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안산시 804
100.0%

Length

2023-12-13T08:30:17.169346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:30:17.274199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안산시 804
100.0%
Distinct780
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2023-12-13T08:30:17.470750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length8.8258706
Min length2

Characters and Unicode

Total characters7096
Distinct characters379
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique757 ?
Unique (%)94.2%

Sample

1st row선부종합사회복지관
2nd row월피예술도서관
3rd row창말체육관
4th row안산역사박물관
5th row서해아파트 건너편
ValueCountFrequency (%)
어린이공원 10
 
1.2%
주민자치센터 5
 
0.6%
그린빌15단지 3
 
0.4%
옥외1 3
 
0.4%
부대앞 2
 
0.2%
추가 2
 
0.2%
호수공원 2
 
0.2%
노인복지관 2
 
0.2%
중앙동 2
 
0.2%
대부중고등학교 2
 
0.2%
Other values (791) 811
96.1%
2023-12-13T08:30:17.906332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 491
 
6.9%
( 293
 
4.1%
) 293
 
4.1%
244
 
3.4%
8 204
 
2.9%
203
 
2.9%
7 202
 
2.8%
158
 
2.2%
2 154
 
2.2%
136
 
1.9%
Other values (369) 4718
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4864
68.5%
Decimal Number 1543
 
21.7%
Open Punctuation 293
 
4.1%
Close Punctuation 293
 
4.1%
Space Separator 40
 
0.6%
Other Punctuation 25
 
0.4%
Connector Punctuation 22
 
0.3%
Uppercase Letter 14
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
244
 
5.0%
203
 
4.2%
158
 
3.2%
136
 
2.8%
95
 
2.0%
87
 
1.8%
85
 
1.7%
84
 
1.7%
79
 
1.6%
78
 
1.6%
Other values (343) 3615
74.3%
Decimal Number
ValueCountFrequency (%)
1 491
31.8%
8 204
13.2%
7 202
13.1%
2 154
 
10.0%
0 123
 
8.0%
3 120
 
7.8%
5 71
 
4.6%
4 67
 
4.3%
6 59
 
3.8%
9 52
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
T 4
28.6%
U 2
14.3%
W 1
 
7.1%
R 1
 
7.1%
N 1
 
7.1%
S 1
 
7.1%
M 1
 
7.1%
A 1
 
7.1%
V 1
 
7.1%
K 1
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 293
100.0%
Close Punctuation
ValueCountFrequency (%)
) 293
100.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
. 25
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4864
68.5%
Common 2218
31.3%
Latin 14
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
244
 
5.0%
203
 
4.2%
158
 
3.2%
136
 
2.8%
95
 
2.0%
87
 
1.8%
85
 
1.7%
84
 
1.7%
79
 
1.6%
78
 
1.6%
Other values (343) 3615
74.3%
Common
ValueCountFrequency (%)
1 491
22.1%
( 293
13.2%
) 293
13.2%
8 204
9.2%
7 202
9.1%
2 154
 
6.9%
0 123
 
5.5%
3 120
 
5.4%
5 71
 
3.2%
4 67
 
3.0%
Other values (6) 200
9.0%
Latin
ValueCountFrequency (%)
T 4
28.6%
U 2
14.3%
W 1
 
7.1%
R 1
 
7.1%
N 1
 
7.1%
S 1
 
7.1%
M 1
 
7.1%
A 1
 
7.1%
V 1
 
7.1%
K 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4864
68.5%
ASCII 2232
31.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 491
22.0%
( 293
13.1%
) 293
13.1%
8 204
9.1%
7 202
9.1%
2 154
 
6.9%
0 123
 
5.5%
3 120
 
5.4%
5 71
 
3.2%
4 67
 
3.0%
Other values (16) 214
9.6%
Hangul
ValueCountFrequency (%)
244
 
5.0%
203
 
4.2%
158
 
3.2%
136
 
2.8%
95
 
2.0%
87
 
1.8%
85
 
1.7%
84
 
1.7%
79
 
1.6%
78
 
1.6%
Other values (343) 3615
74.3%

설치장소상세
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
버스정류장
457 
공원
168 
체육시설
48 
민원실
 
29
기타
 
22
Other values (14)
80 

Length

Max length8
Median length5
Mean length4.1753731
Min length2

Unique

Unique4 ?
Unique (%)0.5%

Sample

1st row사회복지관
2nd row도서관
3rd row체육시설
4th row박물관
5th row버스정류장

Common Values

ValueCountFrequency (%)
버스정류장 457
56.8%
공원 168
 
20.9%
체육시설 48
 
6.0%
민원실 29
 
3.6%
기타 22
 
2.7%
주민자치센터 20
 
2.5%
장애인 복지시설 14
 
1.7%
관광지 11
 
1.4%
도서관 10
 
1.2%
노인 복지시설 5
 
0.6%
Other values (9) 20
 
2.5%

Length

2023-12-13T08:30:18.045873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
버스정류장 457
55.5%
공원 168
 
20.4%
체육시설 48
 
5.8%
민원실 29
 
3.5%
기타 22
 
2.7%
주민자치센터 20
 
2.4%
복지시설 20
 
2.4%
장애인 14
 
1.7%
관광지 11
 
1.3%
도서관 10
 
1.2%
Other values (10) 25
 
3.0%

설치시설구분
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
교통시설
457 
편의시설
178 
지역문화시설
63 
관공서
49 
서민·복지시설
 
28
Other values (3)
 
29

Length

Max length7
Median length4
Mean length4.1355721
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교통시설 457
56.8%
편의시설 178
 
22.1%
지역문화시설 63
 
7.8%
관공서 49
 
6.1%
서민·복지시설 28
 
3.5%
기타 22
 
2.7%
관광 4
 
0.5%
교육시설 3
 
0.4%

Length

2023-12-13T08:30:18.160950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:30:18.563224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교통시설 457
56.8%
편의시설 178
 
22.1%
지역문화시설 63
 
7.8%
관공서 49
 
6.1%
서민·복지시설 28
 
3.5%
기타 22
 
2.7%
관광 4
 
0.5%
교육시설 3
 
0.4%

와이파이명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
Public WiFi Free
804 

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 804
100.0%

Length

2023-12-13T08:30:18.683899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:30:18.790212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
public 804
33.3%
wifi 804
33.3%
free 804
33.3%

설치연월
Categorical

Distinct21
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2021-02-01
380 
2021-06-01
157 
2020-06-01
92 
2022-02-01
47 
2019-09-01
 
27
Other values (16)
101 

Length

Max length10
Median length10
Mean length9.9626866
Min length7

Unique

Unique7 ?
Unique (%)0.9%

Sample

1st row2023-02-01
2nd row2023-02-01
3rd row2023-02-01
4th row2023-02-01
5th row2022-02-01

Common Values

ValueCountFrequency (%)
2021-02-01 380
47.3%
2021-06-01 157
19.5%
2020-06-01 92
 
11.4%
2022-02-01 47
 
5.8%
2019-09-01 27
 
3.4%
2015-12-01 23
 
2.9%
2017-12-01 16
 
2.0%
2018-06-01 11
 
1.4%
2016-04-01 11
 
1.4%
2015 이전 9
 
1.1%
Other values (11) 31
 
3.9%

Length

2023-12-13T08:30:18.906260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-02-01 380
46.7%
2021-06-01 157
19.3%
2020-06-01 92
 
11.3%
2022-02-01 47
 
5.8%
2019-09-01 27
 
3.3%
2015-12-01 23
 
2.8%
2017-12-01 16
 
2.0%
2018-06-01 11
 
1.4%
2016-04-01 11
 
1.4%
2015 9
 
1.1%
Other values (12) 40
 
4.9%
Distinct155
Distinct (%)89.1%
Missing630
Missing (%)78.4%
Memory size6.4 KiB
2023-12-13T08:30:19.234890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length20.804598
Min length15

Characters and Unicode

Total characters3620
Distinct characters125
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)84.5%

Sample

1st row경기도 안산시 단원구 화정로 9
2nd row경기도 안산시 상록구 광덕산안길 32
3rd row경기도 안산시 상록구 건건7길26
4th row경기도 안산시 단원구 화랑로 259
5th row경기도 안산시 상록구 석호로 226(사동)
ValueCountFrequency (%)
경기도 174
20.0%
안산시 174
20.0%
단원구 87
 
10.0%
상록구 87
 
10.0%
성호로 11
 
1.3%
해안로 10
 
1.1%
화랑로 10
 
1.1%
동산로 7
 
0.8%
268 7
 
0.8%
석호로 5
 
0.6%
Other values (229) 300
34.4%
2023-12-13T08:30:19.711498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
698
19.3%
195
 
5.4%
189
 
5.2%
181
 
5.0%
179
 
4.9%
178
 
4.9%
175
 
4.8%
174
 
4.8%
153
 
4.2%
111
 
3.1%
Other values (115) 1387
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2343
64.7%
Space Separator 698
 
19.3%
Decimal Number 474
 
13.1%
Open Punctuation 44
 
1.2%
Close Punctuation 44
 
1.2%
Dash Punctuation 16
 
0.4%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
195
 
8.3%
189
 
8.1%
181
 
7.7%
179
 
7.6%
178
 
7.6%
175
 
7.5%
174
 
7.4%
153
 
6.5%
111
 
4.7%
89
 
3.8%
Other values (100) 719
30.7%
Decimal Number
ValueCountFrequency (%)
1 97
20.5%
2 62
13.1%
5 57
12.0%
3 53
11.2%
6 43
9.1%
4 38
 
8.0%
0 38
 
8.0%
8 35
 
7.4%
7 29
 
6.1%
9 22
 
4.6%
Space Separator
ValueCountFrequency (%)
698
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2343
64.7%
Common 1277
35.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
195
 
8.3%
189
 
8.1%
181
 
7.7%
179
 
7.6%
178
 
7.6%
175
 
7.5%
174
 
7.4%
153
 
6.5%
111
 
4.7%
89
 
3.8%
Other values (100) 719
30.7%
Common
ValueCountFrequency (%)
698
54.7%
1 97
 
7.6%
2 62
 
4.9%
5 57
 
4.5%
3 53
 
4.2%
( 44
 
3.4%
) 44
 
3.4%
6 43
 
3.4%
4 38
 
3.0%
0 38
 
3.0%
Other values (5) 103
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2343
64.7%
ASCII 1277
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
698
54.7%
1 97
 
7.6%
2 62
 
4.9%
5 57
 
4.5%
3 53
 
4.2%
( 44
 
3.4%
) 44
 
3.4%
6 43
 
3.4%
4 38
 
3.0%
0 38
 
3.0%
Other values (5) 103
 
8.1%
Hangul
ValueCountFrequency (%)
195
 
8.3%
189
 
8.1%
181
 
7.7%
179
 
7.6%
178
 
7.6%
175
 
7.5%
174
 
7.4%
153
 
6.5%
111
 
4.7%
89
 
3.8%
Other values (100) 719
30.7%

소재지지번주소
Text

MISSING 

Distinct634
Distinct (%)95.3%
Missing139
Missing (%)17.3%
Memory size6.4 KiB
2023-12-13T08:30:20.032633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length41
Mean length22.111278
Min length14

Characters and Unicode

Total characters14704
Distinct characters171
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique608 ?
Unique (%)91.4%

Sample

1st row경기도 안산시 상록구 건건동 624-7
2nd row경기도 안산시 단원구 원시동 804
3rd row경기도 안산시 상록구 사동 1509
4th row경기도 안산시 단원구 초지동 617
5th row경기도 안산시 단원구 호수동 684-3
ValueCountFrequency (%)
안산시 670
18.7%
경기도 669
18.7%
상록구 342
 
9.5%
단원구 325
 
9.1%
150
 
4.2%
사동 82
 
2.3%
고잔동 66
 
1.8%
본오동 48
 
1.3%
선부동 47
 
1.3%
초지동 39
 
1.1%
Other values (739) 1149
32.0%
2023-12-13T08:30:20.451251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2927
19.9%
719
 
4.9%
696
 
4.7%
683
 
4.6%
676
 
4.6%
675
 
4.6%
673
 
4.6%
671
 
4.6%
671
 
4.6%
1 535
 
3.6%
Other values (161) 5778
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8625
58.7%
Space Separator 2928
 
19.9%
Decimal Number 2729
 
18.6%
Dash Punctuation 384
 
2.6%
Open Punctuation 12
 
0.1%
Close Punctuation 12
 
0.1%
Uppercase Letter 10
 
0.1%
Lowercase Letter 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
719
 
8.3%
696
 
8.1%
683
 
7.9%
676
 
7.8%
675
 
7.8%
673
 
7.8%
671
 
7.8%
671
 
7.8%
391
 
4.5%
365
 
4.2%
Other values (136) 2405
27.9%
Decimal Number
ValueCountFrequency (%)
1 535
19.6%
7 330
12.1%
6 288
10.6%
5 259
9.5%
2 242
8.9%
3 242
8.9%
4 223
8.2%
8 219
8.0%
9 201
 
7.4%
0 190
 
7.0%
Uppercase Letter
ValueCountFrequency (%)
T 3
30.0%
K 1
 
10.0%
R 1
 
10.0%
N 1
 
10.0%
W 1
 
10.0%
M 1
 
10.0%
A 1
 
10.0%
P 1
 
10.0%
Space Separator
ValueCountFrequency (%)
2927
> 99.9%
  1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 384
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8625
58.7%
Common 6067
41.3%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
719
 
8.3%
696
 
8.1%
683
 
7.9%
676
 
7.8%
675
 
7.8%
673
 
7.8%
671
 
7.8%
671
 
7.8%
391
 
4.5%
365
 
4.2%
Other values (136) 2405
27.9%
Common
ValueCountFrequency (%)
2927
48.2%
1 535
 
8.8%
- 384
 
6.3%
7 330
 
5.4%
6 288
 
4.7%
5 259
 
4.3%
2 242
 
4.0%
3 242
 
4.0%
4 223
 
3.7%
8 219
 
3.6%
Other values (6) 418
 
6.9%
Latin
ValueCountFrequency (%)
T 3
25.0%
e 2
16.7%
K 1
 
8.3%
R 1
 
8.3%
N 1
 
8.3%
W 1
 
8.3%
M 1
 
8.3%
A 1
 
8.3%
P 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8625
58.7%
ASCII 6078
41.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2927
48.2%
1 535
 
8.8%
- 384
 
6.3%
7 330
 
5.4%
6 288
 
4.7%
5 259
 
4.3%
2 242
 
4.0%
3 242
 
4.0%
4 223
 
3.7%
8 219
 
3.6%
Other values (14) 429
 
7.1%
Hangul
ValueCountFrequency (%)
719
 
8.3%
696
 
8.1%
683
 
7.9%
676
 
7.8%
675
 
7.8%
673
 
7.8%
671
 
7.8%
671
 
7.8%
391
 
4.5%
365
 
4.2%
Other values (136) 2405
27.9%
None
ValueCountFrequency (%)
  1
100.0%

위도
Real number (ℝ)

SKEWED 

Distinct782
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.307789
Minimum32.52202
Maximum37.369003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-13T08:30:20.605937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32.52202
5-th percentile37.282887
Q137.300834
median37.315997
Q337.332372
95-th percentile37.346217
Maximum37.369003
Range4.8469826
Interquartile range (IQR)0.0315382

Descriptive statistics

Standard deviation0.17145807
Coefficient of variation (CV)0.0045957714
Kurtosis758.56552
Mean37.307789
Median Absolute Deviation (MAD)0.01601
Skewness-27.16058
Sum29995.462
Variance0.029397869
MonotonicityNot monotonic
2023-12-13T08:30:20.777519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3312 8
 
1.0%
37.32464 4
 
0.5%
37.320699 2
 
0.2%
37.339182 2
 
0.2%
37.28248 2
 
0.2%
37.3064969 2
 
0.2%
37.3032163 2
 
0.2%
37.307873 2
 
0.2%
37.317 2
 
0.2%
37.3253517 2
 
0.2%
Other values (772) 776
96.5%
ValueCountFrequency (%)
32.5220203 1
0.1%
37.097522 1
0.1%
37.098417 1
0.1%
37.111583 1
0.1%
37.112694 1
0.1%
37.112819 1
0.1%
37.113137 1
0.1%
37.191156 1
0.1%
37.194442 1
0.1%
37.2061786 1
0.1%
ValueCountFrequency (%)
37.3690029 1
0.1%
37.3645956 1
0.1%
37.3640101 1
0.1%
37.364002 1
0.1%
37.363853 1
0.1%
37.363705 1
0.1%
37.36313 1
0.1%
37.36228 1
0.1%
37.361942 1
0.1%
37.361893 1
0.1%

경도
Real number (ℝ)

Distinct778
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.81895
Minimum123.74177
Maximum126.9321
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-13T08:30:20.906169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum123.74177
5-th percentile126.75473
Q1126.81096
median126.83686
Q3126.85814
95-th percentile126.87348
Maximum126.9321
Range3.190326
Interquartile range (IQR)0.0471815

Descriptive statistics

Standard deviation0.12709507
Coefficient of variation (CV)0.0010021773
Kurtosis429.37883
Mean126.81895
Median Absolute Deviation (MAD)0.023279
Skewness-18.170975
Sum101962.43
Variance0.016153158
MonotonicityNot monotonic
2023-12-13T08:30:21.050231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.772 7
 
0.9%
126.8086 4
 
0.5%
126.8309 2
 
0.2%
126.866282 2
 
0.2%
126.811961 2
 
0.2%
126.8608 2
 
0.2%
126.8463 2
 
0.2%
126.831879 2
 
0.2%
126.810615 2
 
0.2%
126.81143 2
 
0.2%
Other values (768) 777
96.6%
ValueCountFrequency (%)
123.741774 1
0.1%
126.391557 1
0.1%
126.392486 1
0.1%
126.393033 1
0.1%
126.394682 1
0.1%
126.450523 1
0.1%
126.453355 1
0.1%
126.53321 1
0.1%
126.547492 1
0.1%
126.569208 1
0.1%
ValueCountFrequency (%)
126.9321 1
0.1%
126.932027 1
0.1%
126.924733 1
0.1%
126.924511 1
0.1%
126.919552 1
0.1%
126.919486 1
0.1%
126.906466 1
0.1%
126.90636 1
0.1%
126.905187 1
0.1%
126.905011 1
0.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2023-09-15
804 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-15
2nd row2023-09-15
3rd row2023-09-15
4th row2023-09-15
5th row2023-09-15

Common Values

ValueCountFrequency (%)
2023-09-15 804
100.0%

Length

2023-12-13T08:30:21.192843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:30:21.287137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-15 804
100.0%

Interactions

2023-12-13T08:30:16.244792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:15.990154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:16.355913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:30:16.111380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:30:21.342215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치장소상세설치시설구분설치연월위도경도
설치장소상세1.0000.9880.8570.0000.582
설치시설구분0.9881.0000.8070.0000.267
설치연월0.8570.8071.0000.0000.422
위도0.0000.0000.0001.0001.000
경도0.5820.2670.4221.0001.000
2023-12-13T08:30:21.423837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치장소상세설치시설구분설치연월
설치장소상세1.0000.9450.444
설치시설구분0.9451.0000.497
설치연월0.4440.4971.000
2023-12-13T08:30:21.513002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치장소상세설치시설구분설치연월
위도1.000-0.2070.0000.0000.000
경도-0.2071.0000.3750.1750.213
설치장소상세0.0000.3751.0000.9450.444
설치시설구분0.0000.1750.9451.0000.497
설치연월0.0000.2130.4440.4971.000

Missing values

2023-12-13T08:30:16.501825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:30:16.715137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-13T08:30:16.851128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시도명시군구명설치장소명설치장소상세설치시설구분와이파이명설치연월소재지도로명주소소재지지번주소위도경도데이터기준일자
0경기도안산시선부종합사회복지관사회복지관서민·복지시설Public WiFi Free2023-02-01경기도 안산시 단원구 화정로 9<NA>37.3329126.81342023-09-15
1경기도안산시월피예술도서관도서관지역문화시설Public WiFi Free2023-02-01경기도 안산시 상록구 광덕산안길 32<NA>37.3362126.84542023-09-15
2경기도안산시창말체육관체육시설지역문화시설Public WiFi Free2023-02-01경기도 안산시 상록구 건건7길26<NA>37.3087126.906362023-09-15
3경기도안산시안산역사박물관박물관지역문화시설Public WiFi Free2023-02-01경기도 안산시 단원구 화랑로 259<NA>37.320829126.8438942023-09-15
4경기도안산시서해아파트 건너편버스정류장교통시설Public WiFi Free2022-02-01<NA>경기도 안산시 상록구 건건동 624-732.52202123.7417742023-09-15
5경기도안산시감골운동장 (옥외1)체육시설지역문화시설Public WiFi Free2021-02-01경기도 안산시 상록구 석호로 226(사동)<NA>37.293354126.8557962023-09-15
6경기도안산시각골운동장 (옥외1)체육시설지역문화시설Public WiFi Free2021-02-01경기도 안산시 상록구 석호로 384(본오동)<NA>37.292908126.8731492023-09-15
7경기도안산시시우역 공단본부앞버스정류장교통시설Public WiFi Free2022-02-01<NA>경기도 안산시 단원구 원시동 80437.313281126.7962792023-09-15
8경기도안산시호수공원 추가 (옥외1)공원편의시설Public WiFi Free2019-09-01<NA>경기도 안산시 상록구 사동 150937.30047126.82322023-09-15
9경기도안산시초지역버스정류장교통시설Public WiFi Free2022-02-01<NA>경기도 안산시 단원구 초지동 61737.32464126.80862023-09-15
시도명시군구명설치장소명설치장소상세설치시설구분와이파이명설치연월소재지도로명주소소재지지번주소위도경도데이터기준일자
794경기도안산시본오1동행정복지센터민원실관공서Public WiFi Free2015-12-01경기도 안산시 상록구 오목로7길 15(본오동)<NA>37.285104126.8643092023-09-15
795경기도안산시사이동행정복지센터민원실관공서Public WiFi Free2021-02-01경기도 안산시 상록구 감골1로 52(사동)<NA>37.289811126.8518752023-09-15
796경기도안산시사동행정복지센터민원실관공서Public WiFi Free2015-12-01경기도 안산시 상록구 석호로 171(사동)<NA>37.29708126.8510932023-09-15
797경기도안산시이동행정복지센터민원실관공서Public WiFi Free2015-12-01경기도 안산시 상록구 이동로 46(이동)<NA>37.30542126.860892023-09-15
798경기도안산시일동행정복지센터민원실관공서Public WiFi Free2015-12-01경기도 안산시 상록구 성호로 53(일동)<NA>37.31034126.8661732023-09-15
799경기도안산시차량등록사업소민원실관공서Public WiFi Free2016-04-01경기도 안산시 단원구 선부광장1로 6(선부2동)<NA>37.334898126.8072092023-09-15
800경기도안산시단원구청민원실관공서Public WiFi Free2015-12-01경기도 안산시 단원구 화랑로 250(초지동)<NA>37.32104126.81522023-09-15
801경기도안산시상록구청민원실관공서Public WiFi Free2015-12-01경기도 안산시 상록구 석호로 110<NA>37.3013126.84642023-09-15
802경기도안산시안산시의회민원실관공서Public WiFi Free2015-12-01경기도 안산시 단원구 화랑로 387(고잔동)<NA>37.321803126.8314672023-09-15
803경기도안산시시청민원실관공서Public WiFi Free2015-12-01경기도 안산시 단원구 화랑로 387(고잔동)<NA>37.32178126.8302952023-09-15

Duplicate rows

Most frequently occurring

시도명시군구명설치장소명설치장소상세설치시설구분와이파이명설치연월소재지도로명주소소재지지번주소위도경도데이터기준일자# duplicates
0경기도안산시갈대습지공원공원편의시설Public WiFi Free2016-04-01경기도 안산시 상록구 해안로 820-116(사동)<NA>37.275773126.8397432023-09-152
1경기도안산시단원보건소보건소서민·복지시설Public WiFi Free2016-04-01경기도 안산시 단원구 화랑로 250(초지동)<NA>37.320699126.8148152023-09-152