Overview

Dataset statistics

Number of variables7
Number of observations3234
Missing cells1891
Missing cells (%)8.4%
Duplicate rows48
Duplicate rows (%)1.5%
Total size in memory183.3 KiB
Average record size in memory58.0 B

Variable types

Text4
Numeric2
Categorical1

Dataset

Description경기도 아동안전지킴이집 현황
Author경찰청
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=A484FNEWKSWX3IXUSJ1L29703862&infSeq=1

Alerts

Dataset has 48 (1.5%) duplicate rowsDuplicates
위도 is highly overall correlated with 현존주소여부High correlation
경도 is highly overall correlated with 현존주소여부High correlation
현존주소여부 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
안전시설전화번호 has 257 (7.9%) missing valuesMissing
소재지도로명주소 has 810 (25.0%) missing valuesMissing
위도 has 412 (12.7%) missing valuesMissing
경도 has 412 (12.7%) missing valuesMissing

Reproduction

Analysis started2023-12-10 22:35:39.910759
Analysis finished2023-12-10 22:35:41.269253
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

안전시설명
Text

Distinct3006
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
2023-12-11T07:35:41.477855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length8.6558442
Min length1

Characters and Unicode

Total characters27993
Distinct characters677
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2838 ?
Unique (%)87.8%

Sample

1st row경북슈퍼
2nd row우리자동차운전학원
3rd row경희대튼튼체육관
4th row한마음약국
5th row은혜약국
ValueCountFrequency (%)
화성동부 99
 
2.3%
수원서부 77
 
1.8%
성남시수정구 72
 
1.7%
화성서부 72
 
1.7%
광명시 58
 
1.4%
세븐일레븐 51
 
1.2%
일산서구 49
 
1.2%
cu 41
 
1.0%
gs25 30
 
0.7%
태권도 16
 
0.4%
Other values (3140) 3670
86.7%
2023-12-11T07:35:41.823226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 1127
 
4.0%
) 1125
 
4.0%
1023
 
3.7%
시 805
 
2.9%
점 755
 
2.7%
부 594
 
2.1%
동 552
 
2.0%
구 529
 
1.9%
트 489
 
1.7%
마 465
 
1.7%
Other values (667) 20529
73.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22835
81.6%
Open Punctuation 1304
 
4.7%
Close Punctuation 1302
 
4.7%
Space Separator 1023
 
3.7%
Uppercase Letter 770
 
2.8%
Decimal Number 445
 
1.6%
Dash Punctuation 183
 
0.7%
Lowercase Letter 119
 
0.4%
Other Punctuation 10
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 805
 
3.5%
점 755
 
3.3%
부 594
 
2.6%
동 552
 
2.4%
구 529
 
2.3%
트 489
 
2.1%
마 465
 
2.0%
성 447
 
2.0%
문 407
 
1.8%
국 405
 
1.8%
Other values (606) 17387
76.1%
Uppercase Letter
ValueCountFrequency (%)
C 179
23.2%
U 171
22.2%
S 151
19.6%
G 150
19.5%
A 19
 
2.5%
M 16
 
2.1%
T 11
 
1.4%
K 11
 
1.4%
I 11
 
1.4%
L 8
 
1.0%
Other values (12) 43
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
u 21
17.6%
s 18
15.1%
c 17
14.3%
g 11
9.2%
e 10
8.4%
i 7
 
5.9%
p 7
 
5.9%
m 7
 
5.9%
t 4
 
3.4%
a 4
 
3.4%
Other values (7) 13
10.9%
Decimal Number
ValueCountFrequency (%)
2 179
40.2%
5 152
34.2%
1 46
 
10.3%
3 15
 
3.4%
4 13
 
2.9%
0 11
 
2.5%
6 10
 
2.2%
8 9
 
2.0%
9 8
 
1.8%
7 2
 
0.4%
Other Punctuation
ValueCountFrequency (%)
; 3
30.0%
& 3
30.0%
, 2
20.0%
. 2
20.0%
Open Punctuation
ValueCountFrequency (%)
( 1127
86.4%
[ 177
 
13.6%
Close Punctuation
ValueCountFrequency (%)
) 1125
86.4%
] 177
 
13.6%
Space Separator
ValueCountFrequency (%)
1023
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 183
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22835
81.6%
Common 4268
 
15.2%
Latin 889
 
3.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 805
 
3.5%
점 755
 
3.3%
부 594
 
2.6%
동 552
 
2.4%
구 529
 
2.3%
트 489
 
2.1%
마 465
 
2.0%
성 447
 
2.0%
문 407
 
1.8%
국 405
 
1.8%
Other values (606) 17387
76.1%
Latin
ValueCountFrequency (%)
C 179
20.1%
U 171
19.2%
S 151
17.0%
G 150
16.9%
u 21
 
2.4%
A 19
 
2.1%
s 18
 
2.0%
c 17
 
1.9%
M 16
 
1.8%
T 11
 
1.2%
Other values (29) 136
15.3%
Common
ValueCountFrequency (%)
( 1127
26.4%
) 1125
26.4%
1023
24.0%
- 183
 
4.3%
2 179
 
4.2%
] 177
 
4.1%
[ 177
 
4.1%
5 152
 
3.6%
1 46
 
1.1%
3 15
 
0.4%
Other values (11) 64
 
1.5%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22834
81.6%
ASCII 5157
 
18.4%
None 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 1127
21.9%
) 1125
21.8%
1023
19.8%
- 183
 
3.5%
2 179
 
3.5%
C 179
 
3.5%
] 177
 
3.4%
[ 177
 
3.4%
U 171
 
3.3%
5 152
 
2.9%
Other values (50) 664
12.9%
Hangul
ValueCountFrequency (%)
시 805
 
3.5%
점 755
 
3.3%
부 594
 
2.6%
동 552
 
2.4%
구 529
 
2.3%
트 489
 
2.1%
마 465
 
2.0%
성 447
 
2.0%
문 407
 
1.8%
국 405
 
1.8%
Other values (605) 17386
76.1%
None
ValueCountFrequency (%)
㈜ 1
100.0%
CJK
ValueCountFrequency (%)
家 1
100.0%

안전시설전화번호
Text

MISSING 

Distinct2854
Distinct (%)95.9%
Missing257
Missing (%)7.9%
Memory size25.4 KiB
2023-12-11T07:35:42.088927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.005039
Min length11

Characters and Unicode

Total characters35739
Distinct characters11
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

Unique2734 ?
Unique (%)91.8%

Sample

1st row031-582-3224
2nd row031-582-0769
3rd row031-582-6943
4th row031-582-2173
5th row031-581-7227
ValueCountFrequency (%)
031-571-1178 3
 
0.1%
031-543-3980 3
 
0.1%
031-573-4883 3
 
0.1%
031-591-7080 2
 
0.1%
031-576-5575 2
 
0.1%
031-516-2525 2
 
0.1%
031-591-9353 2
 
0.1%
031-559-8849 2
 
0.1%
031-558-4200 2
 
0.1%
031-557-8110 2
 
0.1%
Other values (2844) 2954
99.2%
2023-12-11T07:35:42.461329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5954
16.7%
3 5115
14.3%
0 4978
13.9%
1 4491
12.6%
2 2484
7.0%
5 2379
 
6.7%
7 2203
 
6.2%
8 2130
 
6.0%
4 2095
 
5.9%
6 2073
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29785
83.3%
Dash Punctuation 5954
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5115
17.2%
0 4978
16.7%
1 4491
15.1%
2 2484
8.3%
5 2379
8.0%
7 2203
7.4%
8 2130
7.2%
4 2095
7.0%
6 2073
7.0%
9 1837
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 5954
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 35739
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 5954
16.7%
3 5115
14.3%
0 4978
13.9%
1 4491
12.6%
2 2484
7.0%
5 2379
 
6.7%
7 2203
 
6.2%
8 2130
 
6.0%
4 2095
 
5.9%
6 2073
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35739
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 5954
16.7%
3 5115
14.3%
0 4978
13.9%
1 4491
12.6%
2 2484
7.0%
5 2379
 
6.7%
7 2203
 
6.2%
8 2130
 
6.0%
4 2095
 
5.9%
6 2073
 
5.8%

소재지도로명주소
Text

MISSING 

Distinct2275
Distinct (%)93.9%
Missing810
Missing (%)25.0%
Memory size25.4 KiB
2023-12-11T07:35:42.798550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length19.386551
Min length13

Characters and Unicode

Total characters46993
Distinct characters344
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

Unique2135 ?
Unique (%)88.1%

Sample

1st row경기도 가평군 가평읍 각담말길 29
2nd row경기도 가평군 가평읍 태봉두밀로 34-71
3rd row경기도 가평군 가평읍 석봉로 146
4th row경기도 가평군 가평읍 연인1길 1
5th row경기도 가평군 가평읍 연인길 3
ValueCountFrequency (%)
경기도 2424
 
21.7%
성남시 238
 
2.1%
수원시 215
 
1.9%
남양주시 204
 
1.8%
부천시 182
 
1.6%
안산시 133
 
1.2%
화성시 111
 
1.0%
시흥시 108
 
1.0%
고양시 107
 
1.0%
분당구 102
 
0.9%
Other values (2557) 7341
65.8%
2023-12-11T07:35:43.461856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8741
18.6%
도 2524
 
5.4%
경 2505
 
5.3%
기 2475
 
5.3%
시 2464
 
5.2%
로 2221
 
4.7%
1 1755
 
3.7%
2 1129
 
2.4%
길 1113
 
2.4%
3 992
 
2.1%
Other values (334) 21074
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29416
62.6%
Space Separator 8741
 
18.6%
Decimal Number 8395
 
17.9%
Dash Punctuation 441
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 2524
 
8.6%
경 2505
 
8.5%
기 2475
 
8.4%
시 2464
 
8.4%
로 2221
 
7.6%
길 1113
 
3.8%
구 917
 
3.1%
번 865
 
2.9%
양 647
 
2.2%
남 620
 
2.1%
Other values (322) 13065
44.4%
Decimal Number
ValueCountFrequency (%)
1 1755
20.9%
2 1129
13.4%
3 992
11.8%
4 820
9.8%
5 765
9.1%
6 667
 
7.9%
7 628
 
7.5%
8 559
 
6.7%
9 550
 
6.6%
0 530
 
6.3%
Space Separator
ValueCountFrequency (%)
8741
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 441
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29416
62.6%
Common 17577
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 2524
 
8.6%
경 2505
 
8.5%
기 2475
 
8.4%
시 2464
 
8.4%
로 2221
 
7.6%
길 1113
 
3.8%
구 917
 
3.1%
번 865
 
2.9%
양 647
 
2.2%
남 620
 
2.1%
Other values (322) 13065
44.4%
Common
ValueCountFrequency (%)
8741
49.7%
1 1755
 
10.0%
2 1129
 
6.4%
3 992
 
5.6%
4 820
 
4.7%
5 765
 
4.4%
6 667
 
3.8%
7 628
 
3.6%
8 559
 
3.2%
9 550
 
3.1%
Other values (2) 971
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29416
62.6%
ASCII 17577
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8741
49.7%
1 1755
 
10.0%
2 1129
 
6.4%
3 992
 
5.6%
4 820
 
4.7%
5 765
 
4.4%
6 667
 
3.8%
7 628
 
3.6%
8 559
 
3.2%
9 550
 
3.1%
Other values (2) 971
 
5.5%
Hangul
ValueCountFrequency (%)
도 2524
 
8.6%
경 2505
 
8.5%
기 2475
 
8.4%
시 2464
 
8.4%
로 2221
 
7.6%
길 1113
 
3.8%
구 917
 
3.1%
번 865
 
2.9%
양 647
 
2.2%
남 620
 
2.1%
Other values (322) 13065
44.4%

소재지지번주소
Text

Distinct2939
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
2023-12-11T07:35:43.755072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length50
Mean length21.137291
Min length10

Characters and Unicode

Total characters68358
Distinct characters438
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2765 ?
Unique (%)85.5%

Sample

1st row경기도 가평군 가평읍 마장리 322-6
2nd row경기도 가평군 가평읍 상색리 171-1
3rd row경기도 가평군 가평읍 읍내리 329-21
4th row경기도 가평군 가평읍 읍내리 476-7
5th row경기도 가평군 가평읍 읍내리 478-23
ValueCountFrequency (%)
경기도 3234
 
20.6%
성남시 276
 
1.8%
남양주시 273
 
1.7%
수원시 272
 
1.7%
부천시 224
 
1.4%
고양시 169
 
1.1%
안산시 154
 
1.0%
평택시 154
 
1.0%
화성시 146
 
0.9%
시흥시 138
 
0.9%
Other values (4118) 10642
67.9%
2023-12-11T07:35:44.185051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12451
 
18.2%
도 3368
 
4.9%
시 3290
 
4.8%
기 3289
 
4.8%
경 3263
 
4.8%
동 2757
 
4.0%
1 2565
 
3.8%
- 2031
 
3.0%
2 1485
 
2.2%
3 1362
 
2.0%
Other values (428) 32497
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41174
60.2%
Decimal Number 12550
 
18.4%
Space Separator 12451
 
18.2%
Dash Punctuation 2031
 
3.0%
Other Punctuation 47
 
0.1%
Uppercase Letter 35
 
0.1%
Open Punctuation 27
 
< 0.1%
Close Punctuation 27
 
< 0.1%
Lowercase Letter 14
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 3368
 
8.2%
시 3290
 
8.0%
기 3289
 
8.0%
경 3263
 
7.9%
동 2757
 
6.7%
지 1225
 
3.0%
구 1219
 
3.0%
번 964
 
2.3%
양 954
 
2.3%
리 906
 
2.2%
Other values (384) 19939
48.4%
Uppercase Letter
ValueCountFrequency (%)
G 5
14.3%
K 4
11.4%
L 4
11.4%
C 4
11.4%
B 3
8.6%
A 3
8.6%
S 3
8.6%
U 1
 
2.9%
T 1
 
2.9%
H 1
 
2.9%
Other values (6) 6
17.1%
Decimal Number
ValueCountFrequency (%)
1 2565
20.4%
2 1485
11.8%
3 1362
10.9%
4 1220
9.7%
5 1133
9.0%
7 1023
 
8.2%
0 1016
 
8.1%
6 1009
 
8.0%
9 869
 
6.9%
8 868
 
6.9%
Lowercase Letter
ValueCountFrequency (%)
e 4
28.6%
s 3
21.4%
g 1
 
7.1%
u 1
 
7.1%
c 1
 
7.1%
r 1
 
7.1%
j 1
 
7.1%
i 1
 
7.1%
k 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 26
55.3%
@ 19
40.4%
/ 1
 
2.1%
? 1
 
2.1%
Space Separator
ValueCountFrequency (%)
12451
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2031
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41174
60.2%
Common 27135
39.7%
Latin 49
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 3368
 
8.2%
시 3290
 
8.0%
기 3289
 
8.0%
경 3263
 
7.9%
동 2757
 
6.7%
지 1225
 
3.0%
구 1219
 
3.0%
번 964
 
2.3%
양 954
 
2.3%
리 906
 
2.2%
Other values (384) 19939
48.4%
Latin
ValueCountFrequency (%)
G 5
 
10.2%
K 4
 
8.2%
L 4
 
8.2%
C 4
 
8.2%
e 4
 
8.2%
s 3
 
6.1%
B 3
 
6.1%
A 3
 
6.1%
S 3
 
6.1%
U 1
 
2.0%
Other values (15) 15
30.6%
Common
ValueCountFrequency (%)
12451
45.9%
1 2565
 
9.5%
- 2031
 
7.5%
2 1485
 
5.5%
3 1362
 
5.0%
4 1220
 
4.5%
5 1133
 
4.2%
7 1023
 
3.8%
0 1016
 
3.7%
6 1009
 
3.7%
Other values (9) 1840
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41174
60.2%
ASCII 27184
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12451
45.8%
1 2565
 
9.4%
- 2031
 
7.5%
2 1485
 
5.5%
3 1362
 
5.0%
4 1220
 
4.5%
5 1133
 
4.2%
7 1023
 
3.8%
0 1016
 
3.7%
6 1009
 
3.7%
Other values (34) 1889
 
6.9%
Hangul
ValueCountFrequency (%)
도 3368
 
8.2%
시 3290
 
8.0%
기 3289
 
8.0%
경 3263
 
7.9%
동 2757
 
6.7%
지 1225
 
3.0%
구 1219
 
3.0%
번 964
 
2.3%
양 954
 
2.3%
리 906
 
2.2%
Other values (384) 19939
48.4%

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2621
Distinct (%)92.9%
Missing412
Missing (%)12.7%
Infinite0
Infinite (%)0.0%
Mean37.453719
Minimum36.95703
Maximum38.182041
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2023-12-11T07:35:44.319190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.95703
5-th percentile37.128616
Q137.304124
median37.426138
Q337.622843
95-th percentile37.83486
Maximum38.182041
Range1.2250106
Interquartile range (IQR)0.31871969

Descriptive statistics

Standard deviation0.21510666
Coefficient of variation (CV)0.0057432659
Kurtosis-0.094399878
Mean37.453719
Median Absolute Deviation (MAD)0.14357616
Skewness0.34127248
Sum105694.39
Variance0.046270877
MonotonicityNot monotonic
2023-12-11T07:35:44.436110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6115918052 7
 
0.2%
37.7391286413 4
 
0.1%
37.3063384138 4
 
0.1%
37.7086023748 4
 
0.1%
37.8114246869 3
 
0.1%
37.6444440403 3
 
0.1%
37.6458630414 3
 
0.1%
37.6469763824 3
 
0.1%
37.2000273297 3
 
0.1%
37.2194697825 3
 
0.1%
Other values (2611) 2785
86.1%
(Missing) 412
 
12.7%
ValueCountFrequency (%)
36.9570298984 1
< 0.1%
36.9607785596 1
< 0.1%
36.9628877422 1
< 0.1%
36.9643588725 1
< 0.1%
36.9667721387 1
< 0.1%
36.9745279202 1
< 0.1%
36.9796682458 1
< 0.1%
36.9809342926 1
< 0.1%
36.9829090388 1
< 0.1%
36.9835472702 1
< 0.1%
ValueCountFrequency (%)
38.1820405454 1
< 0.1%
38.1659422204 1
< 0.1%
38.1580242805 1
< 0.1%
38.1564350882 1
< 0.1%
38.1417497986 1
< 0.1%
38.105613257 1
< 0.1%
38.1018028329 1
< 0.1%
38.1011963719 1
< 0.1%
38.0999470282 1
< 0.1%
38.0908925168 1
< 0.1%

경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2621
Distinct (%)92.9%
Missing412
Missing (%)12.7%
Infinite0
Infinite (%)0.0%
Mean127.03585
Minimum126.55462
Maximum127.75393
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2023-12-11T07:35:44.560167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55462
5-th percentile126.74748
Q1126.84501
median127.03707
Q3127.16146
95-th percentile127.47765
Maximum127.75393
Range1.1993126
Interquartile range (IQR)0.31645088

Descriptive statistics

Standard deviation0.22038278
Coefficient of variation (CV)0.0017348078
Kurtosis0.11972483
Mean127.03585
Median Absolute Deviation (MAD)0.16071019
Skewness0.57907255
Sum358495.16
Variance0.048568568
MonotonicityNot monotonic
2023-12-11T07:35:44.693196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1602068429 7
 
0.2%
127.1988339848 4
 
0.1%
126.823692169 4
 
0.1%
127.1183387372 4
 
0.1%
127.1909393214 3
 
0.1%
127.2394999581 3
 
0.1%
127.2417479676 3
 
0.1%
127.239190722 3
 
0.1%
127.0662751988 3
 
0.1%
126.9884830235 3
 
0.1%
Other values (2611) 2785
86.1%
(Missing) 412
 
12.7%
ValueCountFrequency (%)
126.554616169 1
< 0.1%
126.554902061 1
< 0.1%
126.5550101008 1
< 0.1%
126.5557854886 1
< 0.1%
126.5724748595 1
< 0.1%
126.5775757778 1
< 0.1%
126.5831471946 1
< 0.1%
126.583615615 1
< 0.1%
126.5840227341 1
< 0.1%
126.5889555641 1
< 0.1%
ValueCountFrequency (%)
127.753928764 1
< 0.1%
127.7534786417 1
< 0.1%
127.7467910088 1
< 0.1%
127.7158296453 1
< 0.1%
127.7090128468 1
< 0.1%
127.7084254268 1
< 0.1%
127.6971305318 1
< 0.1%
127.6811869297 1
< 0.1%
127.6808775349 1
< 0.1%
127.673288597 1
< 0.1%

현존주소여부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
S
2822 
F
412 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
S 2822
87.3%
F 412
 
12.7%

Length

2023-12-11T07:35:44.799624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:35:44.877256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
s 2822
87.3%
f 412
 
12.7%

Interactions

2023-12-11T07:35:40.828342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:35:40.647068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:35:40.915609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:35:40.739523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:35:44.927436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도현존주소여부
위도1.0000.586NaN
경도0.5861.000NaN
현존주소여부NaNNaN1.000
2023-12-11T07:35:45.005860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도현존주소여부
위도1.000-0.0461.000
경도-0.0461.0001.000
현존주소여부1.0001.0001.000

Missing values

2023-12-11T07:35:41.030242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:35:41.129804image/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.
2023-12-11T07:35:41.215340image/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

안전시설명안전시설전화번호소재지도로명주소소재지지번주소위도경도현존주소여부
0경북슈퍼031-582-3224경기도 가평군 가평읍 각담말길 29경기도 가평군 가평읍 마장리 322-637.860701127.514189S
1우리자동차운전학원031-582-0769경기도 가평군 가평읍 태봉두밀로 34-71경기도 가평군 가평읍 상색리 171-137.804791127.486086S
2경희대튼튼체육관031-582-6943경기도 가평군 가평읍 석봉로 146경기도 가평군 가평읍 읍내리 329-2137.828072127.511579S
3한마음약국031-582-2173경기도 가평군 가평읍 연인1길 1경기도 가평군 가평읍 읍내리 476-737.829288127.513609S
4은혜약국031-581-7227경기도 가평군 가평읍 연인길 3경기도 가평군 가평읍 읍내리 478-2337.82835127.513966S
5가평충효체육관031-582-9466경기도 가평군 가평읍 석봉로 168경기도 가평군 가평읍 읍내리 493-637.830039127.510911S
6한성슈퍼<NA>경기도 가평군 가평읍 석봉로 163경기도 가평군 가평읍 읍내리 495-3237.829653127.510556S
7가평우체국031-582-2009경기도 가평군 가평읍 보납로 2경기도 가평군 가평읍 읍내리 495-637.830958127.510747S
8제일분식<NA>경기도 가평군 가평읍 향교로 34-1경기도 가평군 가평읍 읍내리 530-137.830405127.50963S
9짬뽕늬우스031-582-5552경기도 가평군 가평읍 향교로 4경기도 가평군 가평읍 읍내리 53537.829564127.510192S
안전시설명안전시설전화번호소재지도로명주소소재지지번주소위도경도현존주소여부
3224화성남부지역아동센타070-8854-6639경기도 화성시 향남읍 행정서로3길 50경기도 화성시 향남읍 행정리 437-3번지 2층37.130409126.919459S
3225(화성서부) GS25 향남 주공점031-352-4928<NA>경기도 화성시 향남읍 행정리 468 한우물 상가 102호37.122533126.918601S
3226(화성서부) 모닝글로리 향남점031-8059-2929경기도 화성시 향남읍 행정동로 95경기도 화성시 향남읍 행정리 477-237.132802126.927042S
3227(화성서부) 마루한 태권도031-353-1729경기도 화성시 향남읍 행정동로 91경기도 화성시 향남읍 행정리 477-3 행운빌딩 301호37.132451126.926986S
3228(화성서부) 경희대 향남태권도031-366-6456<NA>경기도 화성시 향남읍 행정리 480번지 향남시범살구꽃마을풍림아이원아파트 485 대방@상가 205~207호37.129243126.927394S
3229(화성서부) 좋은이웃 지역아동센타031-8059-2723<NA>경기도 화성시 향남읍 행정리 480번지 향남풍림아이원아파트 2층37.129243126.927394S
3230(화성서부) 한국체대 인성태권도<NA>경기도 화성시 향남읍 행정중앙1로 63경기도 화성시 향남읍 행정리 492번지 신영지웰아파트 상가 2층37.126906126.921838S
3231(화성서부) 베라체마트031-8059-6689<NA>경기도 화성시 향남읍 행정리 49437.127557126.925415S
3232(화성서부) 색연필문구점031-353-3162경기도 화성시 향남읍 행정중앙1로 14경기도 화성시 향남읍 행정리 65-2 js프라자 10437.125838126.916021S
3233(화성서부) 파리바게트 향남도이점031-352-1424<NA>경기도 화성시 향남읍 행정리 77-437.123921126.931743S

Duplicate rows

Most frequently occurring

안전시설명안전시설전화번호소재지도로명주소소재지지번주소위도경도현존주소여부# duplicates
0119안전센터031-577-0119경기도 남양주시 와부읍 덕소로97번길 34-2경기도 남양주시 와부읍 덕소리 110-637.5857127.216138S2
1CU편의점(금곡대로점)031-593-0488경기도 남양주시 홍유릉로 324경기도 남양주시 금곡동 664-637.630257127.203668S2
2CU편의점(남양주호평점)031-594-3199경기도 남양주시 호평로60번길 9경기도 남양주시 호평동 649-937.655025127.246775S2
3GS25(가곡점)031-591-7002<NA>경기도 남양주시 화도읍 가곡리 279-237.684939127.307774S2
4GS25(별내아이파크점)031-571-1178경기도 남양주시 덕송2로6번길 2-32경기도 남양주시 별내동 850-5번지37.665161127.115347S2
5강남정육식당031-591-7848경기도 남양주시 홍유릉로248번길 64-37경기도 남양주시 금곡동 454-2137.629284127.203892S2
6글셈종합학원031-572-0138경기도 남양주시 퇴계원읍 퇴계원로78번길 9경기도 남양주시 퇴계원읍 퇴계원리 109-537.653147127.144192S2
7김밥천국031-527-0248<NA>경기도 남양주시 진접읍 부평리 76437.739129127.198834S2
8다나약국031-577-8339경기도 남양주시 와부읍 덕소로 226경기도 남양주시 와부읍 도곡리 996-637.579429127.221147S2
9다보약국031-573-9028경기도 남양주시 진건읍 사릉로 431경기도 남양주시 진건읍 용정리 794-13537.657023127.176622S2