Overview

Dataset statistics

Number of variables8
Number of observations5723
Missing cells0
Missing cells (%)0.0%
Duplicate rows3
Duplicate rows (%)0.1%
Total size in memory369.0 KiB
Average record size in memory66.0 B

Variable types

Numeric2
Categorical3
Text3

Dataset

Description통신비 부담 경감 및 무선인터넷 접근성 향상 을 위한 인천광역시 공공시설 공공와이파이 설치 현황으로 와이파이 설치 지역을 인천시민에게 공개합니다.
URLhttps://www.data.go.kr/data/15104461/fileData.do

Alerts

Dataset has 3 (0.1%) duplicate rowsDuplicates
설치년도 is highly overall correlated with 데이터기준일자High correlation
위도 is highly overall correlated with 설치군구명High correlation
설치군구명 is highly overall correlated with 위도High correlation
설치시설구분 is highly overall correlated with 데이터기준일자High correlation
데이터기준일자 is highly overall correlated with 설치년도 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 12:47:14.258328
Analysis finished2023-12-12 12:47:16.223776
Duration1.97 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치년도
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.0456
Minimum2010
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.4 KiB
2023-12-12T21:47:16.298789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2010
5-th percentile2013
Q12018
median2020
Q32021
95-th percentile2022
Maximum2022
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.6768486
Coefficient of variation (CV)0.001325799
Kurtosis0.99896857
Mean2019.0456
Median Absolute Deviation (MAD)1
Skewness-1.3543513
Sum11554998
Variance7.1655185
MonotonicityNot monotonic
2023-12-12T21:47:16.459643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2020 2063
36.0%
2021 1141
19.9%
2022 573
 
10.0%
2019 502
 
8.8%
2016 393
 
6.9%
2013 201
 
3.5%
2014 177
 
3.1%
2017 168
 
2.9%
2018 160
 
2.8%
2015 160
 
2.8%
Other values (3) 185
 
3.2%
ValueCountFrequency (%)
2010 22
 
0.4%
2011 58
 
1.0%
2012 105
 
1.8%
2013 201
3.5%
2014 177
 
3.1%
2015 160
 
2.8%
2016 393
6.9%
2017 168
 
2.9%
2018 160
 
2.8%
2019 502
8.8%
ValueCountFrequency (%)
2022 573
 
10.0%
2021 1141
19.9%
2020 2063
36.0%
2019 502
 
8.8%
2018 160
 
2.8%
2017 168
 
2.9%
2016 393
 
6.9%
2015 160
 
2.8%
2014 177
 
3.1%
2013 201
 
3.5%

설치군구명
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size44.8 KiB
서구
1037 
연수구
895 
남동구
723 
강화군
613 
계양구
511 
Other values (5)
1944 

Length

Max length4
Median length3
Mean length2.7712738
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서구 1037
18.1%
연수구 895
15.6%
남동구 723
12.6%
강화군 613
10.7%
계양구 511
8.9%
미추홀구 470
8.2%
부평구 459
8.0%
중구 380
 
6.6%
동구 362
 
6.3%
옹진군 273
 
4.8%

Length

2023-12-12T21:47:16.612236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:47:16.766468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 1037
18.1%
연수구 895
15.6%
남동구 723
12.6%
강화군 613
10.7%
계양구 511
8.9%
미추홀구 470
8.2%
부평구 459
8.0%
중구 380
 
6.6%
동구 362
 
6.3%
옹진군 273
 
4.8%

설치시설구분
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size44.8 KiB
교통시설
1644 
복지시설
1429 
편의시설
648 
기타
623 
관공서
438 
Other values (26)
941 

Length

Max length7
Median length4
Mean length3.7087192
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row청소년수련원
2nd row청소년수련원
3rd row청소년수련원
4th row청소년수련원
5th row관공서민원실

Common Values

ValueCountFrequency (%)
교통시설 1644
28.7%
복지시설 1429
25.0%
편의시설 648
 
11.3%
기타 623
 
10.9%
관공서 438
 
7.7%
문화시설 357
 
6.2%
공원 127
 
2.2%
버스정류장 111
 
1.9%
관광 65
 
1.1%
공공기관민원실 56
 
1.0%
Other values (21) 225
 
3.9%

Length

2023-12-12T21:47:16.931075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
교통시설 1644
28.7%
복지시설 1429
25.0%
편의시설 648
 
11.3%
기타 623
 
10.9%
관공서 438
 
7.7%
문화시설 357
 
6.2%
공원 127
 
2.2%
버스정류장 111
 
1.9%
관광 65
 
1.1%
공공기관민원실 56
 
1.0%
Other values (21) 225
 
3.9%

설치장소명
Text

Distinct5623
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size44.8 KiB
2023-12-12T21:47:17.219142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length35
Mean length13.90477
Min length2

Characters and Unicode

Total characters79577
Distinct characters616
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5535 ?
Unique (%)96.7%

Sample

1st row중구 청소년수련관 1 (옥내1)
2nd row중구 청소년수련관 2 (옥내1)
3rd row중구 청소년수련관 3 (옥내1)
4th row중구 청소년수련관 4 (옥내1)
5th row중구청 제1청 홍보체육실 민원실 (옥내1)
ValueCountFrequency (%)
옥외1 1064
 
9.9%
옥내1 552
 
5.1%
경제청 395
 
3.7%
송도 350
 
3.3%
1 340
 
3.2%
2 326
 
3.0%
3 153
 
1.4%
앞 56
 
0.5%
마을회관 46
 
0.4%
4 45
 
0.4%
Other values (5235) 7420
69.0%
2023-12-12T21:47:17.767932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5078
 
6.4%
) 3799
 
4.8%
( 3795
 
4.8%
1 3608
 
4.5%
2 2006
 
2.5%
3 1843
 
2.3%
옥 1756
 
2.2%
장 1661
 
2.1%
경 1546
 
1.9%
정 1477
 
1.9%
Other values (606) 53008
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50892
64.0%
Decimal Number 13372
 
16.8%
Space Separator 5078
 
6.4%
Close Punctuation 3801
 
4.8%
Open Punctuation 3797
 
4.8%
Other Punctuation 1865
 
2.3%
Uppercase Letter 485
 
0.6%
Connector Punctuation 108
 
0.1%
Dash Punctuation 106
 
0.1%
Lowercase Letter 71
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
옥 1756
 
3.5%
장 1661
 
3.3%
경 1546
 
3.0%
정 1477
 
2.9%
동 1147
 
2.3%
호 1146
 
2.3%
번 1126
 
2.2%
외 1115
 
2.2%
로 1084
 
2.1%
아 1078
 
2.1%
Other values (556) 37756
74.2%
Uppercase Letter
ValueCountFrequency (%)
C 143
29.5%
T 70
14.4%
V 69
14.2%
A 38
 
7.8%
L 34
 
7.0%
B 26
 
5.4%
H 26
 
5.4%
G 16
 
3.3%
S 8
 
1.6%
M 8
 
1.6%
Other values (11) 47
 
9.7%
Decimal Number
ValueCountFrequency (%)
1 3608
27.0%
2 2006
15.0%
3 1843
13.8%
4 1476
11.0%
0 964
 
7.2%
5 742
 
5.5%
7 735
 
5.5%
9 689
 
5.2%
8 687
 
5.1%
6 622
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
c 27
38.0%
t 14
19.7%
v 13
18.3%
e 12
16.9%
a 3
 
4.2%
b 2
 
2.8%
Other Punctuation
ValueCountFrequency (%)
: 1003
53.8%
# 811
43.5%
. 27
 
1.4%
, 16
 
0.9%
· 8
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 3799
99.9%
] 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 3795
99.9%
[ 2
 
0.1%
Space Separator
ValueCountFrequency (%)
5078
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50894
64.0%
Common 28127
35.3%
Latin 556
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
옥 1756
 
3.5%
장 1661
 
3.3%
경 1546
 
3.0%
정 1477
 
2.9%
동 1147
 
2.3%
호 1146
 
2.3%
번 1126
 
2.2%
외 1115
 
2.2%
로 1084
 
2.1%
아 1078
 
2.1%
Other values (557) 37758
74.2%
Latin
ValueCountFrequency (%)
C 143
25.7%
T 70
12.6%
V 69
12.4%
A 38
 
6.8%
L 34
 
6.1%
c 27
 
4.9%
B 26
 
4.7%
H 26
 
4.7%
G 16
 
2.9%
t 14
 
2.5%
Other values (17) 93
16.7%
Common
ValueCountFrequency (%)
5078
18.1%
) 3799
13.5%
( 3795
13.5%
1 3608
12.8%
2 2006
 
7.1%
3 1843
 
6.6%
4 1476
 
5.2%
: 1003
 
3.6%
0 964
 
3.4%
# 811
 
2.9%
Other values (12) 3744
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50892
64.0%
ASCII 28675
36.0%
None 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5078
17.7%
) 3799
13.2%
( 3795
13.2%
1 3608
12.6%
2 2006
 
7.0%
3 1843
 
6.4%
4 1476
 
5.1%
: 1003
 
3.5%
0 964
 
3.4%
# 811
 
2.8%
Other values (38) 4292
15.0%
Hangul
ValueCountFrequency (%)
옥 1756
 
3.5%
장 1661
 
3.3%
경 1546
 
3.0%
정 1477
 
2.9%
동 1147
 
2.3%
호 1146
 
2.3%
번 1126
 
2.2%
외 1115
 
2.2%
로 1084
 
2.1%
아 1078
 
2.1%
Other values (556) 37756
74.2%
None
ValueCountFrequency (%)
· 8
80.0%
㈜ 2
 
20.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct5382
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.506903
Minimum37.024513
Maximum37.979983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.4 KiB
2023-12-12T21:47:17.953988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.024513
5-th percentile37.381074
Q137.444191
median37.483743
Q337.543386
95-th percentile37.746786
Maximum37.979983
Range0.95547012
Interquartile range (IQR)0.09919527

Descriptive statistics

Standard deviation0.11389912
Coefficient of variation (CV)0.0030367509
Kurtosis2.6053086
Mean37.506903
Median Absolute Deviation (MAD)0.05113901
Skewness1.0505947
Sum214652
Variance0.01297301
MonotonicityNot monotonic
2023-12-12T21:47:18.151735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.5076 9
 
0.2%
37.4343967 8
 
0.1%
37.5362667 7
 
0.1%
37.78308 7
 
0.1%
37.4630013 7
 
0.1%
37.448367 7
 
0.1%
37.4798434 6
 
0.1%
37.780975 6
 
0.1%
37.5945176 5
 
0.1%
37.48469618 5
 
0.1%
Other values (5372) 5656
98.8%
ValueCountFrequency (%)
37.0245128 1
< 0.1%
37.025811 1
< 0.1%
37.085374 1
< 0.1%
37.16018999 1
< 0.1%
37.165157 1
< 0.1%
37.1654 1
< 0.1%
37.1655 1
< 0.1%
37.167778 1
< 0.1%
37.1679262 1
< 0.1%
37.1694062 1
< 0.1%
ValueCountFrequency (%)
37.97998292 1
< 0.1%
37.97963966 1
< 0.1%
37.977134 1
< 0.1%
37.9749302 1
< 0.1%
37.974346 1
< 0.1%
37.974268 1
< 0.1%
37.97413424 1
< 0.1%
37.974064 1
< 0.1%
37.973814 1
< 0.1%
37.973811 1
< 0.1%

경도
Text

Distinct5356
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size44.8 KiB
2023-12-12T21:47:18.503837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.480168
Min length7

Characters and Unicode

Total characters59978
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5111 ?
Unique (%)89.3%

Sample

1st row126.544948
2nd row126.544948
3rd row126.544948
4th row126.544948
5th row126.621293
ValueCountFrequency (%)
126.737632 9
 
0.2%
126.6957697 8
 
0.1%
126.6690107 7
 
0.1%
126.7362472 7
 
0.1%
126.6472531 7
 
0.1%
126.291561 7
 
0.1%
126.6664814 6
 
0.1%
126.294079 6
 
0.1%
126.726676 5
 
0.1%
126.7277038 5
 
0.1%
Other values (5346) 5656
98.8%
2023-12-12T21:47:18.943142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 11821
19.7%
2 9094
15.2%
1 8784
14.6%
. 5723
9.5%
7 5070
8.5%
4 3817
 
6.4%
3 3632
 
6.1%
5 3363
 
5.6%
8 3318
 
5.5%
9 3004
 
5.0%
Other values (2) 2352
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54254
90.5%
Other Punctuation 5724
 
9.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 11821
21.8%
2 9094
16.8%
1 8784
16.2%
7 5070
9.3%
4 3817
 
7.0%
3 3632
 
6.7%
5 3363
 
6.2%
8 3318
 
6.1%
9 3004
 
5.5%
0 2351
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 5723
> 99.9%
/ 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 59978
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 11821
19.7%
2 9094
15.2%
1 8784
14.6%
. 5723
9.5%
7 5070
8.5%
4 3817
 
6.4%
3 3632
 
6.1%
5 3363
 
5.6%
8 3318
 
5.5%
9 3004
 
5.0%
Other values (2) 2352
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 59978
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 11821
19.7%
2 9094
15.2%
1 8784
14.6%
. 5723
9.5%
7 5070
8.5%
4 3817
 
6.4%
3 3632
 
6.1%
5 3363
 
5.6%
8 3318
 
5.5%
9 3004
 
5.0%
Other values (2) 2352
 
3.9%

소재지도로명주소
Text

Distinct4429
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Memory size44.8 KiB
2023-12-12T21:47:19.348757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length37
Mean length14.317141
Min length4

Characters and Unicode

Total characters81937
Distinct characters472
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3771 ?
Unique (%)65.9%

Sample

1st row인천광역시 중구 송산로 52
2nd row인천광역시 중구 송산로 52
3rd row인천광역시 중구 송산로 52
4th row인천광역시 중구 송산로 52
5th row인천광역시 중구 신포로 27번길 80
ValueCountFrequency (%)
인천광역시 1705
 
9.8%
송도동 322
 
1.9%
서구 292
 
1.7%
남동구 276
 
1.6%
부평구 205
 
1.2%
강화읍 203
 
1.2%
강화군 176
 
1.0%
중구 163
 
0.9%
연수구 144
 
0.8%
계양구 144
 
0.8%
Other values (4506) 13732
79.1%
2023-12-12T21:47:20.284541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11864
 
14.5%
로 4443
 
5.4%
1 4078
 
5.0%
2 2813
 
3.4%
동 2704
 
3.3%
3 2258
 
2.8%
인 2066
 
2.5%
4 1906
 
2.3%
천 1822
 
2.2%
시 1813
 
2.2%
Other values (462) 46170
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45432
55.4%
Decimal Number 20564
25.1%
Space Separator 11864
 
14.5%
Dash Punctuation 1696
 
2.1%
Open Punctuation 838
 
1.0%
Close Punctuation 836
 
1.0%
Other Punctuation 546
 
0.7%
Uppercase Letter 158
 
0.2%
Math Symbol 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 4443
 
9.8%
동 2704
 
6.0%
인 2066
 
4.5%
천 1822
 
4.0%
시 1813
 
4.0%
길 1772
 
3.9%
역 1723
 
3.8%
광 1714
 
3.8%
구 1713
 
3.8%
번 1553
 
3.4%
Other values (418) 24109
53.1%
Uppercase Letter
ValueCountFrequency (%)
C 25
15.8%
T 15
9.5%
B 13
8.2%
L 13
8.2%
V 12
 
7.6%
D 12
 
7.6%
I 10
 
6.3%
R 10
 
6.3%
H 9
 
5.7%
E 8
 
5.1%
Other values (12) 31
19.6%
Decimal Number
ValueCountFrequency (%)
1 4078
19.8%
2 2813
13.7%
3 2258
11.0%
4 1906
9.3%
5 1731
8.4%
6 1705
8.3%
7 1614
 
7.8%
8 1557
 
7.6%
0 1483
 
7.2%
9 1419
 
6.9%
Other Punctuation
ValueCountFrequency (%)
, 523
95.8%
: 11
 
2.0%
& 7
 
1.3%
/ 2
 
0.4%
＆ 2
 
0.4%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
11864
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1696
100.0%
Open Punctuation
ValueCountFrequency (%)
( 838
100.0%
Close Punctuation
ValueCountFrequency (%)
) 836
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45432
55.4%
Common 36346
44.4%
Latin 159
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 4443
 
9.8%
동 2704
 
6.0%
인 2066
 
4.5%
천 1822
 
4.0%
시 1813
 
4.0%
길 1772
 
3.9%
역 1723
 
3.8%
광 1714
 
3.8%
구 1713
 
3.8%
번 1553
 
3.4%
Other values (418) 24109
53.1%
Latin
ValueCountFrequency (%)
C 25
15.7%
T 15
9.4%
B 13
8.2%
L 13
8.2%
V 12
 
7.5%
D 12
 
7.5%
I 10
 
6.3%
R 10
 
6.3%
H 9
 
5.7%
E 8
 
5.0%
Other values (13) 32
20.1%
Common
ValueCountFrequency (%)
11864
32.6%
1 4078
 
11.2%
2 2813
 
7.7%
3 2258
 
6.2%
4 1906
 
5.2%
5 1731
 
4.8%
6 1705
 
4.7%
- 1696
 
4.7%
7 1614
 
4.4%
8 1557
 
4.3%
Other values (11) 5124
14.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45432
55.4%
ASCII 36503
44.6%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11864
32.5%
1 4078
 
11.2%
2 2813
 
7.7%
3 2258
 
6.2%
4 1906
 
5.2%
5 1731
 
4.7%
6 1705
 
4.7%
- 1696
 
4.6%
7 1614
 
4.4%
8 1557
 
4.3%
Other values (33) 5281
14.5%
Hangul
ValueCountFrequency (%)
로 4443
 
9.8%
동 2704
 
6.0%
인 2066
 
4.5%
천 1822
 
4.0%
시 1813
 
4.0%
길 1772
 
3.9%
역 1723
 
3.8%
광 1714
 
3.8%
구 1713
 
3.8%
번 1553
 
3.4%
Other values (418) 24109
53.1%
None
ValueCountFrequency (%)
＆ 2
100.0%

데이터기준일자
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.8 KiB
2020-10-28
1939 
2021-08-17
1145 
2022-06-02
1141 
2021-08-23
925 
2023-08-18
573 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-18
2nd row2023-08-18
3rd row2023-08-18
4th row2023-08-18
5th row2023-08-18

Common Values

ValueCountFrequency (%)
2020-10-28 1939
33.9%
2021-08-17 1145
20.0%
2022-06-02 1141
19.9%
2021-08-23 925
16.2%
2023-08-18 573
 
10.0%

Length

2023-12-12T21:47:20.454778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:47:20.590140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-10-28 1939
33.9%
2021-08-17 1145
20.0%
2022-06-02 1141
19.9%
2021-08-23 925
16.2%
2023-08-18 573
 
10.0%

Interactions

2023-12-12T21:47:15.700775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:47:15.436145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:47:15.838227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:47:15.558059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:47:20.690843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치년도설치군구명설치시설구분위도데이터기준일자
설치년도1.0000.6030.6590.5230.951
설치군구명0.6031.0000.5910.9180.475
설치시설구분0.6590.5911.0000.5620.866
위도0.5230.9180.5621.0000.445
데이터기준일자0.9510.4750.8660.4451.000
2023-12-12T21:47:20.802706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치군구명설치시설구분데이터기준일자
설치군구명1.0000.2510.216
설치시설구분0.2511.0000.626
데이터기준일자0.2160.6261.000
2023-12-12T21:47:20.897169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치년도위도설치군구명설치시설구분데이터기준일자
설치년도1.0000.0770.2240.2990.697
위도0.0771.0000.5370.2340.200
설치군구명0.2240.5371.0000.2510.216
설치시설구분0.2990.2340.2511.0000.626
데이터기준일자0.6970.2000.2160.6261.000

Missing values

2023-12-12T21:47:15.995706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:47:16.157977image/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

설치년도설치군구명설치시설구분설치장소명위도경도소재지도로명주소데이터기준일자
02022중구청소년수련원중구 청소년수련관 1 (옥내1)37.482065126.544948인천광역시 중구 송산로 522023-08-18
12022중구청소년수련원중구 청소년수련관 2 (옥내1)37.482065126.544948인천광역시 중구 송산로 522023-08-18
22022중구청소년수련원중구 청소년수련관 3 (옥내1)37.482065126.544948인천광역시 중구 송산로 522023-08-18
32022중구청소년수련원중구 청소년수련관 4 (옥내1)37.482065126.544948인천광역시 중구 송산로 522023-08-18
42022중구관공서민원실중구청 제1청 홍보체육실 민원실 (옥내1)37.473884126.621293인천광역시 중구 신포로 27번길 802023-08-18
52022중구공공기관민원실중부소방서 (옥내1)37.470055126.622245인천광역시 중구 인중로 2042023-08-18
62022중구공공기관민원실중앙119안전센터 (옥내1)37.470055126.622245인천광역시 중구 인중로 2042023-08-18
72022중구주민자치센터동인천광역시동 주민자치센터 1층 (옥내1)37.476783126.629106인천광역시 중구 참외전로 72번길 252023-08-18
82022중구공공기관민원실연안119안전센터 (옥내1)37.446571126.6042316인천광역시 중구 축항대로 118번길 1082023-08-18
92022중구관공서민원실영종 일자리센터 드림스타트팀 (옥내1)37.486322126.558733인천광역시 중구 하늘달빛로 782023-08-18
설치년도설치군구명설치시설구분설치장소명위도경도소재지도로명주소데이터기준일자
57132010남동구교통시설인천시청역(인천1호선) #337.457399126.702169예술로 2642020-10-28
57142010남동구교통시설예술회관역 #337.44914126.700979예술로 1722020-10-28
57152010미추홀구교통시설인천터미널역 #37.441905126.699678예술로 852020-10-28
57162010연수구교통시설문학경기장역 #337.435051126.69837예술로 22020-10-28
57172010연수구교통시설선학역 #337.426521126.698881비류대로 555-22020-10-28
57182010연수구교통시설신연수역 #337.417915126.693846경원대로 3682020-10-28
57192010연수구교통시설원인재역(인천1호선) #337.412235126.687759경원대로 2852020-10-28
57202010연수구교통시설동막역 #337.397983126.673532경원대로 802020-10-28
57212010연수구교통시설인천대입구 #337.385895126.639562인천타워대로 1552020-10-28
57222010연수구교통시설센트럴파크역 #337.392869126.634885인천타워대로 2402020-10-28

Duplicate rows

Most frequently occurring

설치년도설치군구명설치시설구분설치장소명위도경도소재지도로명주소데이터기준일자# duplicates
02020서구교통시설가정(루원시티)역(정류장번호:89050)37.524618126.6744131봉오대로 2342021-08-172
12022미추홀구보건소치매안심센터 5층 (옥내1)37.463001126.6472531인천광역시 미추홀구 경인로 34번길 202023-08-182
22022부평구아동복지시설서로사랑지역아동센터 (옥내1)37.515598126.7241274인천광역시 부평구 주부토로 219번길 362023-08-182