Overview

Dataset statistics

Number of variables8
Number of observations607
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.2%
Total size in memory39.8 KiB
Average record size in memory67.2 B

Variable types

Categorical3
Text3
Numeric2

Dataset

Description경기도 우리동네 학습공간 지정 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=IIAR361M6C2XDZ6KB3JR30002271&infSeq=1

Alerts

Dataset has 1 (0.2%) duplicate rowsDuplicates
위도 is highly overall correlated with 시군명High correlation
경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 위도 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-10 22:23:00.988622
Analysis finished2023-12-10 22:23:02.443355
Duration1.45 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
오산시
57 
포천시
55 
시흥시
48 
안성시
48 
안산시
47 
Other values (17)
352 

Length

Max length4
Median length3
Mean length3.0560132
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
오산시 57
 
9.4%
포천시 55
 
9.1%
시흥시 48
 
7.9%
안성시 48
 
7.9%
안산시 47
 
7.7%
여주시 44
 
7.2%
양평군 42
 
6.9%
이천시 36
 
5.9%
동두천시 34
 
5.6%
파주시 27
 
4.4%
Other values (12) 169
27.8%

Length

2023-12-11T07:23:02.517761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
오산시 57
 
9.4%
포천시 55
 
9.1%
시흥시 48
 
7.9%
안성시 48
 
7.9%
안산시 47
 
7.7%
여주시 44
 
7.2%
양평군 42
 
6.9%
이천시 36
 
5.9%
동두천시 34
 
5.6%
파주시 27
 
4.4%
Other values (12) 169
27.8%
Distinct598
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2023-12-11T07:23:02.740860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length21
Mean length8.6886326
Min length1

Characters and Unicode

Total characters5274
Distinct characters516
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique590 ?
Unique (%)97.2%

Sample

1st row가평고등학교 석봉도서실
2nd row가평군 건강증진센터
3rd row가평군 여성회관
4th row가평군 장애인복지관
5th row가평군평생교육사업소(한석봉도서관)
ValueCountFrequency (%)
작은도서관 21
 
2.4%
카페 16
 
1.8%
마을회관 9
 
1.0%
공방 5
 
0.6%
도서관 5
 
0.6%
작은 5
 
0.6%
북카페 4
 
0.5%
갤러리 4
 
0.5%
한국승강기안전공단 4
 
0.5%
스튜디오 3
 
0.3%
Other values (766) 805
91.4%
2023-12-11T07:23:03.167065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
275
 
5.2%
174
 
3.3%
141
 
2.7%
109
 
2.1%
92
 
1.7%
88
 
1.7%
78
 
1.5%
76
 
1.4%
76
 
1.4%
69
 
1.3%
Other values (506) 4096
77.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4728
89.6%
Space Separator 275
 
5.2%
Uppercase Letter 70
 
1.3%
Decimal Number 64
 
1.2%
Close Punctuation 49
 
0.9%
Open Punctuation 47
 
0.9%
Other Punctuation 12
 
0.2%
Connector Punctuation 9
 
0.2%
Lowercase Letter 9
 
0.2%
Dash Punctuation 8
 
0.2%
Other values (2) 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
174
 
3.7%
141
 
3.0%
109
 
2.3%
92
 
1.9%
88
 
1.9%
78
 
1.6%
76
 
1.6%
76
 
1.6%
69
 
1.5%
66
 
1.4%
Other values (457) 3759
79.5%
Uppercase Letter
ValueCountFrequency (%)
A 10
14.3%
B 6
 
8.6%
C 5
 
7.1%
D 5
 
7.1%
H 4
 
5.7%
E 4
 
5.7%
M 4
 
5.7%
L 3
 
4.3%
J 3
 
4.3%
R 3
 
4.3%
Other values (10) 23
32.9%
Decimal Number
ValueCountFrequency (%)
1 20
31.2%
2 14
21.9%
0 11
17.2%
3 8
 
12.5%
5 2
 
3.1%
6 2
 
3.1%
4 2
 
3.1%
9 2
 
3.1%
8 2
 
3.1%
7 1
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
e 3
33.3%
h 1
 
11.1%
a 1
 
11.1%
c 1
 
11.1%
f 1
 
11.1%
g 1
 
11.1%
o 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 4
33.3%
/ 3
25.0%
, 2
16.7%
' 2
16.7%
& 1
 
8.3%
Space Separator
ValueCountFrequency (%)
275
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4729
89.7%
Common 465
 
8.8%
Latin 79
 
1.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
174
 
3.7%
141
 
3.0%
109
 
2.3%
92
 
1.9%
88
 
1.9%
78
 
1.6%
76
 
1.6%
76
 
1.6%
69
 
1.5%
66
 
1.4%
Other values (457) 3760
79.5%
Latin
ValueCountFrequency (%)
A 10
 
12.7%
B 6
 
7.6%
C 5
 
6.3%
D 5
 
6.3%
H 4
 
5.1%
E 4
 
5.1%
M 4
 
5.1%
L 3
 
3.8%
e 3
 
3.8%
J 3
 
3.8%
Other values (17) 32
40.5%
Common
ValueCountFrequency (%)
275
59.1%
) 49
 
10.5%
( 47
 
10.1%
1 20
 
4.3%
2 14
 
3.0%
0 11
 
2.4%
_ 9
 
1.9%
3 8
 
1.7%
- 8
 
1.7%
. 4
 
0.9%
Other values (11) 20
 
4.3%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4727
89.6%
ASCII 544
 
10.3%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
275
50.6%
) 49
 
9.0%
( 47
 
8.6%
1 20
 
3.7%
2 14
 
2.6%
0 11
 
2.0%
A 10
 
1.8%
_ 9
 
1.7%
3 8
 
1.5%
- 8
 
1.5%
Other values (38) 93
 
17.1%
Hangul
ValueCountFrequency (%)
174
 
3.7%
141
 
3.0%
109
 
2.3%
92
 
1.9%
88
 
1.9%
78
 
1.7%
76
 
1.6%
76
 
1.6%
69
 
1.5%
66
 
1.4%
Other values (456) 3758
79.5%
None
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
1
100.0%

시설유형
Categorical

Distinct9
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
교육시설
123 
기타
99 
도서관
97 
공방
88 
카페
83 
Other values (4)
117 

Length

Max length6
Median length4
Mean length3.2240527
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교육시설 123
20.3%
기타 99
16.3%
도서관 97
16.0%
공방 88
14.5%
카페 83
13.7%
문화예술공간 45
 
7.4%
주민자치시설 39
 
6.4%
복지시설 31
 
5.1%
연습실 2
 
0.3%

Length

2023-12-11T07:23:03.344859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:03.482740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교육시설 123
20.3%
기타 99
16.3%
도서관 97
16.0%
공방 88
14.5%
카페 83
13.7%
문화예술공간 45
 
7.4%
주민자치시설 39
 
6.4%
복지시설 31
 
5.1%
연습실 2
 
0.3%
Distinct595
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2023-12-11T07:23:03.804004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length49
Mean length30.863262
Min length17

Characters and Unicode

Total characters18734
Distinct characters470
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

Unique588 ?
Unique (%)96.9%

Sample

1st row경기도 가평군 가평읍 호반로 2607-7 가평고등학교 석봉도서실
2nd row경기도 가평군 가평읍 가화로 155-18 가평군 건강증진센터
3rd row경기도 가평군 가평읍 문화로 131 가평군 여성회관
4th row경기도 가평군 가평읍 석봉로191번길 65-19 가평군 장애인복지관
5th row경기도 가평군 가평읍 문화로 187 3층
ValueCountFrequency (%)
경기도 608
 
15.3%
2층 80
 
2.0%
오산시 57
 
1.4%
포천시 56
 
1.4%
시흥시 48
 
1.2%
안성시 48
 
1.2%
안산시 47
 
1.2%
여주시 44
 
1.1%
양평군 42
 
1.1%
1층 41
 
1.0%
Other values (1643) 2891
73.0%
2023-12-11T07:23:04.266392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3764
 
20.1%
690
 
3.7%
641
 
3.4%
631
 
3.4%
622
 
3.3%
1 550
 
2.9%
521
 
2.8%
514
 
2.7%
2 454
 
2.4%
) 397
 
2.1%
Other values (460) 9950
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11229
59.9%
Space Separator 3764
 
20.1%
Decimal Number 2679
 
14.3%
Close Punctuation 397
 
2.1%
Open Punctuation 396
 
2.1%
Dash Punctuation 165
 
0.9%
Other Punctuation 75
 
0.4%
Uppercase Letter 27
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
690
 
6.1%
641
 
5.7%
631
 
5.6%
622
 
5.5%
521
 
4.6%
514
 
4.6%
255
 
2.3%
225
 
2.0%
206
 
1.8%
187
 
1.7%
Other values (426) 6737
60.0%
Uppercase Letter
ValueCountFrequency (%)
B 5
18.5%
C 5
18.5%
A 2
 
7.4%
D 2
 
7.4%
F 2
 
7.4%
I 2
 
7.4%
H 2
 
7.4%
L 2
 
7.4%
R 1
 
3.7%
K 1
 
3.7%
Other values (3) 3
11.1%
Decimal Number
ValueCountFrequency (%)
1 550
20.5%
2 454
16.9%
3 307
11.5%
4 265
9.9%
0 233
8.7%
5 218
 
8.1%
6 205
 
7.7%
7 167
 
6.2%
9 144
 
5.4%
8 136
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 71
94.7%
. 1
 
1.3%
/ 1
 
1.3%
@ 1
 
1.3%
& 1
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
m 1
50.0%
Space Separator
ValueCountFrequency (%)
3764
100.0%
Close Punctuation
ValueCountFrequency (%)
) 397
100.0%
Open Punctuation
ValueCountFrequency (%)
( 396
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 165
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11229
59.9%
Common 7476
39.9%
Latin 29
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
690
 
6.1%
641
 
5.7%
631
 
5.6%
622
 
5.5%
521
 
4.6%
514
 
4.6%
255
 
2.3%
225
 
2.0%
206
 
1.8%
187
 
1.7%
Other values (426) 6737
60.0%
Common
ValueCountFrequency (%)
3764
50.3%
1 550
 
7.4%
2 454
 
6.1%
) 397
 
5.3%
( 396
 
5.3%
3 307
 
4.1%
4 265
 
3.5%
0 233
 
3.1%
5 218
 
2.9%
6 205
 
2.7%
Other values (9) 687
 
9.2%
Latin
ValueCountFrequency (%)
B 5
17.2%
C 5
17.2%
A 2
 
6.9%
D 2
 
6.9%
F 2
 
6.9%
I 2
 
6.9%
H 2
 
6.9%
L 2
 
6.9%
R 1
 
3.4%
K 1
 
3.4%
Other values (5) 5
17.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11229
59.9%
ASCII 7505
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3764
50.2%
1 550
 
7.3%
2 454
 
6.0%
) 397
 
5.3%
( 396
 
5.3%
3 307
 
4.1%
4 265
 
3.5%
0 233
 
3.1%
5 218
 
2.9%
6 205
 
2.7%
Other values (24) 716
 
9.5%
Hangul
ValueCountFrequency (%)
690
 
6.1%
641
 
5.7%
631
 
5.6%
622
 
5.5%
521
 
4.6%
514
 
4.6%
255
 
2.3%
225
 
2.0%
206
 
1.8%
187
 
1.7%
Other values (426) 6737
60.0%
Distinct564
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2023-12-11T07:23:04.552963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length26
Mean length18.672158
Min length13

Characters and Unicode

Total characters11334
Distinct characters225
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

Unique537 ?
Unique (%)88.5%

Sample

1st row경기도 가평군 가평읍 대곡리 113
2nd row경기도 가평군 가평읍 읍내리 624-1
3rd row경기도 가평군 가평읍 대곡리 316
4th row경기도 가평군 가평읍 읍내리 861
5th row경기도 가평군 가평읍 읍내리 579-15
ValueCountFrequency (%)
경기도 607
 
22.2%
오산시 57
 
2.1%
포천시 55
 
2.0%
시흥시 48
 
1.8%
안성시 48
 
1.8%
안산시 47
 
1.7%
여주시 44
 
1.6%
양평군 42
 
1.5%
이천시 36
 
1.3%
동두천시 34
 
1.2%
Other values (964) 1719
62.8%
2023-12-11T07:23:04.958519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2130
18.8%
631
 
5.6%
621
 
5.5%
608
 
5.4%
588
 
5.2%
451
 
4.0%
- 449
 
4.0%
1 411
 
3.6%
2 307
 
2.7%
3 264
 
2.3%
Other values (215) 4874
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6420
56.6%
Decimal Number 2333
 
20.6%
Space Separator 2130
 
18.8%
Dash Punctuation 449
 
4.0%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
631
 
9.8%
621
 
9.7%
608
 
9.5%
588
 
9.2%
451
 
7.0%
238
 
3.7%
161
 
2.5%
157
 
2.4%
152
 
2.4%
144
 
2.2%
Other values (201) 2669
41.6%
Decimal Number
ValueCountFrequency (%)
1 411
17.6%
2 307
13.2%
3 264
11.3%
5 250
10.7%
4 206
8.8%
8 199
8.5%
6 198
8.5%
7 189
8.1%
0 157
 
6.7%
9 152
 
6.5%
Space Separator
ValueCountFrequency (%)
2130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 449
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6420
56.6%
Common 4914
43.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
631
 
9.8%
621
 
9.7%
608
 
9.5%
588
 
9.2%
451
 
7.0%
238
 
3.7%
161
 
2.5%
157
 
2.4%
152
 
2.4%
144
 
2.2%
Other values (201) 2669
41.6%
Common
ValueCountFrequency (%)
2130
43.3%
- 449
 
9.1%
1 411
 
8.4%
2 307
 
6.2%
3 264
 
5.4%
5 250
 
5.1%
4 206
 
4.2%
8 199
 
4.0%
6 198
 
4.0%
7 189
 
3.8%
Other values (4) 311
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6420
56.6%
ASCII 4914
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2130
43.3%
- 449
 
9.1%
1 411
 
8.4%
2 307
 
6.2%
3 264
 
5.4%
5 250
 
5.1%
4 206
 
4.2%
8 199
 
4.0%
6 198
 
4.0%
7 189
 
3.8%
Other values (4) 311
 
6.3%
Hangul
ValueCountFrequency (%)
631
 
9.8%
621
 
9.7%
608
 
9.5%
588
 
9.2%
451
 
7.0%
238
 
3.7%
161
 
2.5%
157
 
2.4%
152
 
2.4%
144
 
2.2%
Other values (201) 2669
41.6%

지정년도
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2023
351 
2021
240 
2022
 
16

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2023 351
57.8%
2021 240
39.5%
2022 16
 
2.6%

Length

2023-12-11T07:23:05.076421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:05.181182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 351
57.8%
2021 240
39.5%
2022 16
 
2.6%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct565
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.435909
Minimum36.947115
Maximum38.157677
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2023-12-11T07:23:05.289681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.947115
5-th percentile37.009962
Q137.22498
median37.363678
Q337.607586
95-th percentile37.914105
Maximum38.157677
Range1.210562
Interquartile range (IQR)0.38260652

Descriptive statistics

Standard deviation0.28868004
Coefficient of variation (CV)0.0077113138
Kurtosis-0.73245771
Mean37.435909
Median Absolute Deviation (MAD)0.17989577
Skewness0.50382569
Sum22723.597
Variance0.083336166
MonotonicityNot monotonic
2023-12-11T07:23:05.443557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.1547093944 8
 
1.3%
37.1535710263 4
 
0.7%
37.1092168937 3
 
0.5%
37.8091293373 3
 
0.5%
37.1460818581 3
 
0.5%
37.8665429798 3
 
0.5%
37.1595998625 2
 
0.3%
37.003519586 2
 
0.3%
37.308971888 2
 
0.3%
37.7261192972 2
 
0.3%
Other values (555) 575
94.7%
ValueCountFrequency (%)
36.947115459 1
0.2%
36.9555638558 1
0.2%
36.9785064949 1
0.2%
36.9816877946 1
0.2%
36.9845971074 1
0.2%
36.9876645521 1
0.2%
36.9891129057 1
0.2%
36.9910646238 1
0.2%
36.9943422483 1
0.2%
36.994598679 1
0.2%
ValueCountFrequency (%)
38.157677414 1
0.2%
38.1484833789 1
0.2%
38.1070162478 1
0.2%
38.0912991505 1
0.2%
38.0894151692 1
0.2%
38.0889911776 1
0.2%
38.0847846783 1
0.2%
38.072089833 1
0.2%
38.0685095061 1
0.2%
38.0653698014 1
0.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct565
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.15286
Minimum126.5793
Maximum127.76995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2023-12-11T07:23:05.560126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.5793
5-th percentile126.77485
Q1126.93945
median127.1335
Q3127.34511
95-th percentile127.63656
Maximum127.76995
Range1.1906563
Interquartile range (IQR)0.40566165

Descriptive statistics

Standard deviation0.26586242
Coefficient of variation (CV)0.0020908883
Kurtosis-0.79941149
Mean127.15286
Median Absolute Deviation (MAD)0.19923385
Skewness0.24994706
Sum77181.784
Variance0.070682828
MonotonicityNot monotonic
2023-12-11T07:23:05.902702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0639091323 8
 
1.3%
127.0632061907 4
 
0.7%
127.2354154988 3
 
0.5%
127.1338067286 3
 
0.5%
127.076052416 3
 
0.5%
126.8010769147 3
 
0.5%
127.0726545083 2
 
0.3%
127.2030529311 2
 
0.3%
127.1319468811 2
 
0.3%
126.7177913261 2
 
0.3%
Other values (555) 575
94.7%
ValueCountFrequency (%)
126.579296804 1
0.2%
126.5813364568 1
0.2%
126.6863760017 1
0.2%
126.6913363791 1
0.2%
126.6962087067 1
0.2%
126.6982957908 1
0.2%
126.6993722197 1
0.2%
126.7085365853 1
0.2%
126.7088669426 1
0.2%
126.7099227341 1
0.2%
ValueCountFrequency (%)
127.7699530776 1
0.2%
127.7502525869 1
0.2%
127.7122988962 1
0.2%
127.7118264909 1
0.2%
127.7083286196 1
0.2%
127.6881568938 1
0.2%
127.6834120046 1
0.2%
127.6830203209 1
0.2%
127.6811835378 1
0.2%
127.6732794058 1
0.2%

Interactions

2023-12-11T07:23:02.009357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:01.791827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:02.103972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:01.913603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:23:05.981151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명시설유형지정년도위도경도
시군명1.0000.4480.6910.9320.895
시설유형0.4481.0000.3760.2890.185
지정년도0.6910.3761.0000.4940.378
위도0.9320.2890.4941.0000.753
경도0.8950.1850.3780.7531.000
2023-12-11T07:23:06.061977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정년도시설유형시군명
지정년도1.0000.1780.472
시설유형0.1781.0000.189
시군명0.4720.1891.000
2023-12-11T07:23:06.134834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도시군명시설유형지정년도
위도1.000-0.0120.6970.1350.340
경도-0.0121.0000.6050.0850.244
시군명0.6970.6051.0000.1890.472
시설유형0.1350.0850.1891.0000.178
지정년도0.3400.2440.4720.1781.000

Missing values

2023-12-11T07:23:02.246994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:23:02.392949image/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

시군명시설명시설유형도로명주소지번주소지정년도위도경도
0가평군가평고등학교 석봉도서실교육시설경기도 가평군 가평읍 호반로 2607-7 가평고등학교 석봉도서실경기도 가평군 가평읍 대곡리 113202137.818675127.514066
1가평군가평군 건강증진센터복지시설경기도 가평군 가평읍 가화로 155-18 가평군 건강증진센터경기도 가평군 가평읍 읍내리 624-1202137.833484127.510603
2가평군가평군 여성회관기타경기도 가평군 가평읍 문화로 131 가평군 여성회관경기도 가평군 가평읍 대곡리 316202137.825526127.504204
3가평군가평군 장애인복지관복지시설경기도 가평군 가평읍 석봉로191번길 65-19 가평군 장애인복지관경기도 가평군 가평읍 읍내리 861202137.831141127.501636
4가평군가평군평생교육사업소(한석봉도서관)기타경기도 가평군 가평읍 문화로 187 3층경기도 가평군 가평읍 읍내리 579-15202137.829681127.506455
5가평군나무그늘카페경기도 가평군 가평읍 가랫골길 1 12경기도 가평군 가평읍 이화리 132-3202337.785002127.509472
6가평군농사꾼 염색이야기기타경기도 가평군 북면 멱골로 255경기도 가평군 북면 목동리 335202137.912406127.575073
7가평군늘푸른 상상력 작은 도서관도서관경기도 가평군 가평읍 광장로 27 늘푸른 상상력 작은 도서관경기도 가평군 가평읍 광장로 27202137.82567127.508829
8가평군달전1리 마을회관주민자치시설경기도 가평군 가평읍 북한강변로 1127-1 달전1리 마을회관경기도 가평군 가평읍 달전리 312-1202137.811211127.520086
9가평군대보2리 마을회관주민자치시설경기도 가평군 조종면 대보간선로611번길 5 대보2리 마을회관경기도 가평군 조종면 대보리 63202137.798869127.391625
시군명시설명시설유형도로명주소지번주소지정년도위도경도
597화성시아름별문화예술원교육시설경기도 화성시 효행로 1075-7 (진안동)202호경기도 화성시 진안동 914-8202337.215704127.043665
598화성시압구정베이커리카페카페경기도 화성시 장안면 사랑길 170-4 압구정 베이커리 카페경기도 화성시 장안면 어은리 660202337.084794126.828212
599화성시예당 롯데캐슬 작은도서관도서관경기도 화성시 동탄반석로 231 (석우동, 동탄예당마을 롯데캐슬) 작은도서관경기도 화성시 석우동 55202337.210981127.072861
600화성시포도나무 작은도서관도서관경기도 화성시 효행로 275-1 (기안동)경기도 화성시 기안동 395-7202337.223624126.973438
601화성시포도나무작은도서관도서관경기도 화성시 효행로 275-1 (기안동)경기도 화성시 기안동 359-7202337.223624126.973438
602화성시한국승강기안전공단 화성오산지사기타경기도 화성시 병점2로 12 창명빌딩 3층 한국승강기안전공단 화성오산지사(병점동)경기도 화성시 병점동 407-4202337.205353127.03842
603화성시해달별역사작은도서관교육시설경기도 화성시 봉담읍 와우로34번길 34 상가동 301호경기도 화성시 봉담읍 와우리 238202337.211758126.970715
604화성시해피멘토협동조합도서관경기도 화성시 동탄반석로 124 (반송동) 6층경기도 화성시 반송동 107-1202337.200006127.071537
605화성시호기심연구소공유공방문화예술공간경기도 화성시 동탄영천로 108-21 (영천동, 화성동탄2 LH 2단지) 224동 1층 사회적기업경기도 화성시 영천동 864202237.21313127.105116
606화성시화성지역사회교육협의회교육시설경기도 화성시 비봉면 화성로 1620 B01호경기도 화성시 비봉면 양노리 631-5202337.226336126.858014

Duplicate rows

Most frequently occurring

시군명시설명시설유형도로명주소지번주소지정년도위도경도# duplicates
0안성시송린체험카페기타경기도 안성시 양성면 안성맞춤대로 2362-34 (난실리)경기도 안성시 양성면 난실리 23202337.109217127.2354152