Overview

Dataset statistics

Number of variables13
Number of observations722
Missing cells15
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory75.6 KiB
Average record size in memory107.2 B

Variable types

Numeric3
Categorical5
Text4
DateTime1

Dataset

Description시흥시 복지시설현황입니다.(복지대상, 시설종류, 시설명, 주소, 연락처, 위도,경도가 포함되어 있습니다)
Author경기도 시흥시
URLhttps://www.data.go.kr/data/15117069/fileData.do

Alerts

광역시도명 has constant value ""Constant
시군구 has constant value ""Constant
데이터 기준일 has constant value ""Constant
위도 is highly overall correlated with 행정동명 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 행정동명 and 1 other fieldsHigh correlation
행정동명 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
법정동명 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
연락처 has 11 (1.5%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:10:50.865255
Analysis finished2023-12-12 00:10:53.170865
Duration2.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct722
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean361.5
Minimum1
Maximum722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-12T09:10:53.250999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile37.05
Q1181.25
median361.5
Q3541.75
95-th percentile685.95
Maximum722
Range721
Interquartile range (IQR)360.5

Descriptive statistics

Standard deviation208.56773
Coefficient of variation (CV)0.57695086
Kurtosis-1.2
Mean361.5
Median Absolute Deviation (MAD)180.5
Skewness0
Sum261003
Variance43500.5
MonotonicityStrictly increasing
2023-12-12T09:10:53.405753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
476 1
 
0.1%
478 1
 
0.1%
479 1
 
0.1%
480 1
 
0.1%
481 1
 
0.1%
482 1
 
0.1%
483 1
 
0.1%
484 1
 
0.1%
485 1
 
0.1%
Other values (712) 712
98.6%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
722 1
0.1%
721 1
0.1%
720 1
0.1%
719 1
0.1%
718 1
0.1%
717 1
0.1%
716 1
0.1%
715 1
0.1%
714 1
0.1%
713 1
0.1%

광역시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
경기도
722 

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 722
100.0%

Length

2023-12-12T09:10:53.577461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:10:53.694355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 722
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
시흥시
722 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시흥시 722
100.0%

Length

2023-12-12T09:10:53.818463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:10:53.912615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시흥시 722
100.0%

행정동명
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
대야동
149 
신천동
65 
연성동
59 
목감동
51 
정왕1동
48 
Other values (14)
350 

Length

Max length4
Median length3
Mean length3.2590028
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row군자동
2nd row정왕4동
3rd row월곶동
4th row은행동
5th row정왕1동

Common Values

ValueCountFrequency (%)
대야동 149
20.6%
신천동 65
9.0%
연성동 59
 
8.2%
목감동 51
 
7.1%
정왕1동 48
 
6.6%
은행동 47
 
6.5%
능곡동 37
 
5.1%
월곶동 36
 
5.0%
군자동 35
 
4.8%
정왕본동 33
 
4.6%
Other values (9) 162
22.4%

Length

2023-12-12T09:10:54.284089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대야동 149
20.6%
신천동 65
9.0%
연성동 59
 
8.2%
목감동 51
 
7.1%
정왕1동 48
 
6.6%
은행동 47
 
6.5%
능곡동 37
 
5.1%
월곶동 36
 
5.0%
군자동 35
 
4.8%
정왕본동 33
 
4.6%
Other values (9) 162
22.4%

법정동명
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
대야동
148 
정왕동
143 
신천동
65 
은행동
45 
배곧동
41 
Other values (22)
280 

Length

Max length3
Median length3
Mean length2.9875346
Min length2

Unique

Unique3 ?
Unique (%)0.4%

Sample

1st row거모동
2nd row정왕동
3rd row월곶동
4th row은행동
5th row정왕동

Common Values

ValueCountFrequency (%)
대야동 148
20.5%
정왕동 143
19.8%
신천동 65
9.0%
은행동 45
 
6.2%
배곧동 41
 
5.7%
능곡동 37
 
5.1%
월곶동 36
 
5.0%
거모동 31
 
4.3%
하중동 31
 
4.3%
조남동 27
 
3.7%
Other values (17) 118
16.3%

Length

2023-12-12T09:10:54.408785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대야동 148
20.5%
정왕동 143
19.8%
신천동 65
9.0%
은행동 45
 
6.2%
배곧동 41
 
5.7%
능곡동 37
 
5.1%
월곶동 36
 
5.0%
거모동 31
 
4.3%
하중동 31
 
4.3%
조남동 27
 
3.7%
Other values (17) 118
16.3%

대상
Categorical

Distinct15
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
노인
424 
아동
123 
장애인
60 
전체
46 
여성
 
23
Other values (10)
46 

Length

Max length11
Median length2
Mean length2.2368421
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
노인 424
58.7%
아동 123
 
17.0%
장애인 60
 
8.3%
전체 46
 
6.4%
여성 23
 
3.2%
아동+장애인 18
 
2.5%
청소년 10
 
1.4%
보육 5
 
0.7%
공통 3
 
0.4%
아동+정신건강 2
 
0.3%
Other values (5) 8
 
1.1%

Length

2023-12-12T09:10:54.520168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
노인 424
58.7%
아동 123
 
17.0%
장애인 60
 
8.3%
전체 46
 
6.4%
여성 23
 
3.2%
아동+장애인 18
 
2.5%
청소년 10
 
1.4%
보육 5
 
0.7%
공통 3
 
0.4%
아동+정신건강 2
 
0.3%
Other values (5) 8
 
1.1%

시설종류
Text

Distinct52
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2023-12-12T09:10:54.697312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length42
Mean length8.9473684
Min length4

Characters and Unicode

Total characters6460
Distinct characters115
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

Unique10 ?
Unique (%)1.4%

Sample

1st row지역아동센터
2nd row지역아동센터
3rd row지역아동센터
4th row지역아동센터
5th row지역아동센터
ValueCountFrequency (%)
노인요양시설 172
17.3%
방문요양+방문목욕 93
 
9.4%
제공기관 88
 
8.9%
지역사회서비스 60
 
6.0%
투자사업 60
 
6.0%
지역아동센터 37
 
3.7%
주야간보호센터 32
 
3.2%
노인요양공동생활가정 31
 
3.1%
방문요양 28
 
2.8%
공동육아나눔터 24
 
2.4%
Other values (57) 369
37.1%
2023-12-12T09:10:55.044486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
요 338
 
5.2%
양 338
 
5.2%
274
 
4.2%
방 251
 
3.9%
문 245
 
3.8%
시 237
 
3.7%
설 237
 
3.7%
인 228
 
3.5%
노 212
 
3.3%
공 189
 
2.9%
Other values (105) 3911
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5992
92.8%
Space Separator 274
 
4.2%
Math Symbol 168
 
2.6%
Open Punctuation 11
 
0.2%
Close Punctuation 11
 
0.2%
Other Punctuation 3
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
요 338
 
5.6%
양 338
 
5.6%
방 251
 
4.2%
문 245
 
4.1%
시 237
 
4.0%
설 237
 
4.0%
인 228
 
3.8%
노 212
 
3.5%
공 189
 
3.2%
지 173
 
2.9%
Other values (99) 3544
59.1%
Space Separator
ValueCountFrequency (%)
274
100.0%
Math Symbol
ValueCountFrequency (%)
+ 168
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5992
92.8%
Common 468
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
요 338
 
5.6%
양 338
 
5.6%
방 251
 
4.2%
문 245
 
4.1%
시 237
 
4.0%
설 237
 
4.0%
인 228
 
3.8%
노 212
 
3.5%
공 189
 
3.2%
지 173
 
2.9%
Other values (99) 3544
59.1%
Common
ValueCountFrequency (%)
274
58.5%
+ 168
35.9%
( 11
 
2.4%
) 11
 
2.4%
, 3
 
0.6%
1 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5992
92.8%
ASCII 468
 
7.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
요 338
 
5.6%
양 338
 
5.6%
방 251
 
4.2%
문 245
 
4.1%
시 237
 
4.0%
설 237
 
4.0%
인 228
 
3.8%
노 212
 
3.5%
공 189
 
3.2%
지 173
 
2.9%
Other values (99) 3544
59.1%
ASCII
ValueCountFrequency (%)
274
58.5%
+ 168
35.9%
( 11
 
2.4%
) 11
 
2.4%
, 3
 
0.6%
1 1
 
0.2%

시설명
Text

Distinct583
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2023-12-12T09:10:55.290091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length9.1772853
Min length2

Characters and Unicode

Total characters6626
Distinct characters390
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique451 ?
Unique (%)62.5%

Sample

1st row거모지역아동센터
2nd row고운지역아동센터
3rd row나드림지역아동센터
4th row늘사랑지역아동센터
5th row늘새롬지역아동센터
ValueCountFrequency (%)
시흥시 7
 
0.8%
재가복지센터 5
 
0.6%
요양원 5
 
0.6%
방과후아카데미 5
 
0.6%
시흥장애인종합복지관 4
 
0.5%
인애요양원 4
 
0.5%
집 4
 
0.5%
함현상생종합사회복지관 4
 
0.5%
아리아케어 3
 
0.3%
홈 3
 
0.3%
Other values (653) 819
94.9%
2023-12-12T09:10:55.639387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 314
 
4.7%
센 287
 
4.3%
양 223
 
3.4%
요 220
 
3.3%
지 200
 
3.0%
원 196
 
3.0%
복 156
 
2.4%
시 153
 
2.3%
153
 
2.3%
인 147
 
2.2%
Other values (380) 4577
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6300
95.1%
Space Separator 153
 
2.3%
Open Punctuation 43
 
0.6%
Close Punctuation 43
 
0.6%
Decimal Number 38
 
0.6%
Uppercase Letter 26
 
0.4%
Other Symbol 12
 
0.2%
Other Punctuation 7
 
0.1%
Math Symbol 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 314
 
5.0%
센 287
 
4.6%
양 223
 
3.5%
요 220
 
3.5%
지 200
 
3.2%
원 196
 
3.1%
복 156
 
2.5%
시 153
 
2.4%
인 147
 
2.3%
아 127
 
2.0%
Other values (355) 4277
67.9%
Uppercase Letter
ValueCountFrequency (%)
A 10
38.5%
S 7
26.9%
K 2
 
7.7%
J 2
 
7.7%
H 1
 
3.8%
O 1
 
3.8%
M 1
 
3.8%
E 1
 
3.8%
Y 1
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 17
44.7%
2 15
39.5%
3 2
 
5.3%
6 2
 
5.3%
5 1
 
2.6%
9 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
& 3
42.9%
, 2
28.6%
· 1
 
14.3%
% 1
 
14.3%
Space Separator
ValueCountFrequency (%)
153
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6311
95.2%
Common 288
 
4.3%
Latin 26
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 314
 
5.0%
센 287
 
4.5%
양 223
 
3.5%
요 220
 
3.5%
지 200
 
3.2%
원 196
 
3.1%
복 156
 
2.5%
시 153
 
2.4%
인 147
 
2.3%
아 127
 
2.0%
Other values (355) 4288
67.9%
Common
ValueCountFrequency (%)
153
53.1%
( 43
 
14.9%
) 43
 
14.9%
1 17
 
5.9%
2 15
 
5.2%
+ 3
 
1.0%
& 3
 
1.0%
3 2
 
0.7%
, 2
 
0.7%
6 2
 
0.7%
Other values (5) 5
 
1.7%
Latin
ValueCountFrequency (%)
A 10
38.5%
S 7
26.9%
K 2
 
7.7%
J 2
 
7.7%
H 1
 
3.8%
O 1
 
3.8%
M 1
 
3.8%
E 1
 
3.8%
Y 1
 
3.8%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6299
95.1%
ASCII 313
 
4.7%
None 13
 
0.2%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 314
 
5.0%
센 287
 
4.6%
양 223
 
3.5%
요 220
 
3.5%
지 200
 
3.2%
원 196
 
3.1%
복 156
 
2.5%
시 153
 
2.4%
인 147
 
2.3%
아 127
 
2.0%
Other values (354) 4276
67.9%
ASCII
ValueCountFrequency (%)
153
48.9%
( 43
 
13.7%
) 43
 
13.7%
1 17
 
5.4%
2 15
 
4.8%
A 10
 
3.2%
S 7
 
2.2%
+ 3
 
1.0%
& 3
 
1.0%
K 2
 
0.6%
Other values (13) 17
 
5.4%
None
ValueCountFrequency (%)
㈜ 12
92.3%
· 1
 
7.7%
CJK
ValueCountFrequency (%)
愛 1
100.0%

주 소
Text

Distinct590
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2023-12-12T09:10:55.895679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length44
Mean length29.976454
Min length5

Characters and Unicode

Total characters21643
Distinct characters300
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique473 ?
Unique (%)65.5%

Sample

1st row경기도 시흥시 군자로466번길 37 (거모동)
2nd row경기도 시흥시 정왕신길로49번길 59 (정왕동,덕경빌딩 4층)
3rd row경기도 시흥시 월곶동 1010-4 진주마을풍림1차아이원상가동 303호
4th row경기도 시흥시 검바위1로 66-7 (은행동) 1층
5th row경기도 시흥시 정왕천로375번길 41 (정왕동)
ValueCountFrequency (%)
경기도 720
 
16.2%
시흥시 718
 
16.2%
대야동 119
 
2.7%
정왕동 94
 
2.1%
2층 84
 
1.9%
4층 64
 
1.4%
3층 52
 
1.2%
1층 46
 
1.0%
5층 45
 
1.0%
신천동 43
 
1.0%
Other values (921) 2454
55.3%
2023-12-12T09:10:56.279622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3734
 
17.3%
시 1507
 
7.0%
1 844
 
3.9%
, 787
 
3.6%
기 773
 
3.6%
도 754
 
3.5%
흥 748
 
3.5%
경 729
 
3.4%
동 675
 
3.1%
로 604
 
2.8%
Other values (290) 10488
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11729
54.2%
Decimal Number 4022
 
18.6%
Space Separator 3734
 
17.3%
Other Punctuation 796
 
3.7%
Close Punctuation 579
 
2.7%
Open Punctuation 579
 
2.7%
Dash Punctuation 157
 
0.7%
Uppercase Letter 33
 
0.2%
Math Symbol 7
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1507
 
12.8%
기 773
 
6.6%
도 754
 
6.4%
흥 748
 
6.4%
경 729
 
6.2%
동 675
 
5.8%
로 604
 
5.1%
층 386
 
3.3%
길 385
 
3.3%
호 325
 
2.8%
Other values (252) 4843
41.3%
Uppercase Letter
ValueCountFrequency (%)
A 8
24.2%
L 7
21.2%
H 6
18.2%
S 3
 
9.1%
B 2
 
6.1%
T 2
 
6.1%
Z 1
 
3.0%
M 1
 
3.0%
E 1
 
3.0%
K 1
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 844
21.0%
2 554
13.8%
3 496
12.3%
0 489
12.2%
4 471
11.7%
5 318
 
7.9%
7 276
 
6.9%
6 250
 
6.2%
9 179
 
4.5%
8 145
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 787
98.9%
/ 2
 
0.3%
: 2
 
0.3%
. 2
 
0.3%
· 2
 
0.3%
@ 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
f 1
16.7%
i 1
16.7%
s 1
16.7%
a 1
16.7%
Space Separator
ValueCountFrequency (%)
3734
100.0%
Close Punctuation
ValueCountFrequency (%)
) 579
100.0%
Open Punctuation
ValueCountFrequency (%)
( 579
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 157
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11729
54.2%
Common 9874
45.6%
Latin 40
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1507
 
12.8%
기 773
 
6.6%
도 754
 
6.4%
흥 748
 
6.4%
경 729
 
6.2%
동 675
 
5.8%
로 604
 
5.1%
층 386
 
3.3%
길 385
 
3.3%
호 325
 
2.8%
Other values (252) 4843
41.3%
Common
ValueCountFrequency (%)
3734
37.8%
1 844
 
8.5%
, 787
 
8.0%
) 579
 
5.9%
( 579
 
5.9%
2 554
 
5.6%
3 496
 
5.0%
0 489
 
5.0%
4 471
 
4.8%
5 318
 
3.2%
Other values (11) 1023
 
10.4%
Latin
ValueCountFrequency (%)
A 8
20.0%
L 7
17.5%
H 6
15.0%
S 3
 
7.5%
e 2
 
5.0%
B 2
 
5.0%
T 2
 
5.0%
Ⅱ 1
 
2.5%
Z 1
 
2.5%
M 1
 
2.5%
Other values (7) 7
17.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11729
54.2%
ASCII 9911
45.8%
None 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3734
37.7%
1 844
 
8.5%
, 787
 
7.9%
) 579
 
5.8%
( 579
 
5.8%
2 554
 
5.6%
3 496
 
5.0%
0 489
 
4.9%
4 471
 
4.8%
5 318
 
3.2%
Other values (26) 1060
 
10.7%
Hangul
ValueCountFrequency (%)
시 1507
 
12.8%
기 773
 
6.6%
도 754
 
6.4%
흥 748
 
6.4%
경 729
 
6.2%
동 675
 
5.8%
로 604
 
5.1%
층 386
 
3.3%
길 385
 
3.3%
호 325
 
2.8%
Other values (252) 4843
41.3%
None
ValueCountFrequency (%)
· 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

연락처
Text

MISSING 

Distinct533
Distinct (%)75.0%
Missing11
Missing (%)1.5%
Memory size5.8 KiB
2023-12-12T09:10:56.551100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.105485
Min length9

Characters and Unicode

Total characters8607
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique390 ?
Unique (%)54.9%

Sample

1st row031-493-6340
2nd row031-431-5915
3rd row031-318-9171
4th row031-312-0084
5th row031-431-0191
ValueCountFrequency (%)
031-314-3357 4
 
0.6%
031-504-5551 4
 
0.6%
031-506-2700 4
 
0.6%
031-434-8040 4
 
0.6%
031-404-0013 4
 
0.6%
031-315-1112 4
 
0.6%
031-410-0107 4
 
0.6%
031-312-0911 4
 
0.6%
031-311-0343 4
 
0.6%
031-435-0688 3
 
0.4%
Other values (523) 672
94.5%
2023-12-12T09:10:56.976358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1473
17.1%
- 1420
16.5%
0 1406
16.3%
1 1390
16.1%
4 603
7.0%
5 438
 
5.1%
7 431
 
5.0%
8 388
 
4.5%
2 375
 
4.4%
9 374
 
4.3%
Other values (2) 309
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7184
83.5%
Dash Punctuation 1420
 
16.5%
Space Separator 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1473
20.5%
0 1406
19.6%
1 1390
19.3%
4 603
8.4%
5 438
 
6.1%
7 431
 
6.0%
8 388
 
5.4%
2 375
 
5.2%
9 374
 
5.2%
6 306
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 1420
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8607
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1473
17.1%
- 1420
16.5%
0 1406
16.3%
1 1390
16.1%
4 603
7.0%
5 438
 
5.1%
7 431
 
5.0%
8 388
 
4.5%
2 375
 
4.4%
9 374
 
4.3%
Other values (2) 309
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8607
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1473
17.1%
- 1420
16.5%
0 1406
16.3%
1 1390
16.1%
4 603
7.0%
5 438
 
5.1%
7 431
 
5.0%
8 388
 
4.5%
2 375
 
4.4%
9 374
 
4.3%
Other values (2) 309
 
3.6%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct411
Distinct (%)57.1%
Missing2
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean37.396429
Minimum37.321743
Maximum37.45837
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-12T09:10:57.131307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.321743
5-th percentile37.343446
Q137.36426
median37.388264
Q337.441453
95-th percentile37.445796
Maximum37.45837
Range0.13662711
Interquartile range (IQR)0.07719342

Descriptive statistics

Standard deviation0.038515521
Coefficient of variation (CV)0.0010299251
Kurtosis-1.5108471
Mean37.396429
Median Absolute Deviation (MAD)0.040839145
Skewness0.075076958
Sum26925.429
Variance0.0014834453
MonotonicityNot monotonic
2023-12-12T09:10:57.315328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.44219842 11
 
1.5%
37.4448361 8
 
1.1%
37.36960484 8
 
1.1%
37.445679 8
 
1.1%
37.36425972 8
 
1.1%
37.44405976 8
 
1.1%
37.44301089 7
 
1.0%
37.44423859 7
 
1.0%
37.34486002 6
 
0.8%
37.44224122 6
 
0.8%
Other values (401) 643
89.1%
ValueCountFrequency (%)
37.3217432 1
0.1%
37.32830044 1
0.1%
37.33162695 1
0.1%
37.33532892 1
0.1%
37.33600999 2
0.3%
37.3368467 1
0.1%
37.33751807 2
0.3%
37.33771252 1
0.1%
37.33838258 1
0.1%
37.33944973 1
0.1%
ValueCountFrequency (%)
37.45837031 1
 
0.1%
37.45202485 1
 
0.1%
37.45139353 3
0.4%
37.44974652 1
 
0.1%
37.44904669 2
0.3%
37.4487897 1
 
0.1%
37.44853906 1
 
0.1%
37.44850588 2
0.3%
37.44849182 1
 
0.1%
37.44822134 1
 
0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct411
Distinct (%)57.1%
Missing2
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean126.78025
Minimum126.68785
Maximum126.86704
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-12T09:10:57.490727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.68785
5-th percentile126.72647
Q1126.7424
median126.78704
Q3126.7992
95-th percentile126.85477
Maximum126.86704
Range0.1791832
Interquartile range (IQR)0.0567984

Descriptive statistics

Standard deviation0.036401734
Coefficient of variation (CV)0.00028712465
Kurtosis-0.045551913
Mean126.78025
Median Absolute Deviation (MAD)0.01631965
Skewness-0.044902918
Sum91281.78
Variance0.0013250863
MonotonicityNot monotonic
2023-12-12T09:10:57.634243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7864354 11
 
1.5%
126.7967898 8
 
1.1%
126.809913 8
 
1.1%
126.7990479 8
 
1.1%
126.7375225 8
 
1.1%
126.7904624 8
 
1.1%
126.7927507 7
 
1.0%
126.7973983 7
 
1.0%
126.7813884 6
 
0.8%
126.7914974 6
 
0.8%
Other values (401) 643
89.1%
ValueCountFrequency (%)
126.6878545 3
0.4%
126.6889861 1
 
0.1%
126.6901556 1
 
0.1%
126.6902372 2
0.3%
126.690356 1
 
0.1%
126.6906649 3
0.4%
126.6915991 1
 
0.1%
126.70779 1
 
0.1%
126.7085427 1
 
0.1%
126.7125285 2
0.3%
ValueCountFrequency (%)
126.8670377 1
0.1%
126.8634285 1
0.1%
126.8624626 1
0.1%
126.8620242 1
0.1%
126.8619887 2
0.3%
126.86196 1
0.1%
126.8613808 1
0.1%
126.8612954 1
0.1%
126.8610185 1
0.1%
126.8609132 2
0.3%

데이터 기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
Minimum2023-09-18 00:00:00
Maximum2023-09-18 00:00:00
2023-12-12T09:10:57.750956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:10:57.864706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T09:10:52.388192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:10:51.682091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:10:52.032999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:10:52.514831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:10:51.803238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:10:52.146768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:10:52.612766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:10:51.913053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:10:52.270712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:10:57.935513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동명법정동명대상시설종류위도경도
연번1.0000.2410.1970.8120.9720.1790.160
행정동명0.2411.0000.9860.2730.5940.9320.923
법정동명0.1970.9861.0000.0000.2810.9480.938
대상0.8120.2730.0001.0000.9540.1220.104
시설종류0.9720.5940.2810.9541.0000.3980.565
위도0.1790.9320.9480.1220.3981.0000.827
경도0.1600.9230.9380.1040.5650.8271.000
2023-12-12T09:10:58.049864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명대상행정동명
법정동명1.0000.0000.838
대상0.0001.0000.091
행정동명0.8380.0911.000
2023-12-12T09:10:58.134475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도행정동명법정동명대상
연번1.0000.1280.0600.0920.0710.464
위도0.1281.0000.4690.7030.7340.045
경도0.0600.4691.0000.6770.7020.038
행정동명0.0920.7030.6771.0000.8380.091
법정동명0.0710.7340.7020.8381.0000.000
대상0.4640.0450.0380.0910.0001.000

Missing values

2023-12-12T09:10:52.773374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:10:52.971310image/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.
2023-12-12T09:10:53.108974image/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

연번광역시도명시군구행정동명법정동명대상시설종류시설명주 소연락처위도경도데이터 기준일
01경기도시흥시군자동거모동아동지역아동센터거모지역아동센터경기도 시흥시 군자로466번길 37 (거모동)031-493-634037.34486126.7813882023-09-18
12경기도시흥시정왕4동정왕동아동지역아동센터고운지역아동센터경기도 시흥시 정왕신길로49번길 59 (정왕동,덕경빌딩 4층)031-431-591537.362586126.7301232023-09-18
23경기도시흥시월곶동월곶동아동지역아동센터나드림지역아동센터경기도 시흥시 월곶동 1010-4 진주마을풍림1차아이원상가동 303호031-318-917137.39065126.7356692023-09-18
34경기도시흥시은행동은행동아동지역아동센터늘사랑지역아동센터경기도 시흥시 검바위1로 66-7 (은행동) 1층031-312-008437.435122126.7966852023-09-18
45경기도시흥시정왕1동정왕동아동지역아동센터늘새롬지역아동센터경기도 시흥시 정왕천로375번길 41 (정왕동)031-431-019137.343579126.7458592023-09-18
56경기도시흥시능곡동능곡동아동지역아동센터능소화꿈나무지역아동센터경기도 시흥시 능곡중앙로 77 (능곡동, 관리동 1층)031-313-128637.370987126.8129512023-09-18
67경기도시흥시대야동대야동아동지역아동센터대야지역아동센터경기도 시흥시 호현로 92-2 (대야동,2층)070-7521-529137.447558126.7879882023-09-18
78경기도시흥시연성동장현동아동지역아동센터만나지역아동센터경기도 시흥시 시청로 71, 502동 (장현동, 3층 301호)070-4027-056937.38057126.7991832023-09-18
89경기도시흥시목감동조남동아동지역아동센터목감지역아동센터경기도 시흥시 목감초등길 14-22 (조남동, 302호)031-405-512437.385256126.8592842023-09-18
910경기도시흥시신현동미산동아동지역아동센터미산지역아동센터경기도 시흥시 미산로 69, 3층070-4204-585337.422071126.7963632023-09-18
연번광역시도명시군구행정동명법정동명대상시설종류시설명주 소연락처위도경도데이터 기준일
712713경기도시흥시목감동논곡동노인주야간보호시흥행복한주야간보호센터경기도 시흥시 수인로2421번길 101, 2층 (논곡동)031-410-010737.387312126.8595122023-09-18
713714경기도시흥시정왕3동정왕동노인주야간보호아들과딸 주간보호센터 시흥정왕점경기도 시흥시 정왕대로 64, 5층 505,6,7호 (정왕동)031-432-332437.354252126.7235242023-09-18
714715경기도시흥시목감동물왕동노인주야간보호아리아케어 주야간보호 목감센터경기도 시흥시 동서로 865-21, 2층 (물왕동)031-411-997937.382117126.8422922023-09-18
715716경기도시흥시대야동대야동노인주야간보호이화실버주야간보호센터경기도 시흥시 비둘기공원로 8, 4층 (대야동)031-504-555137.44406126.7904622023-09-18
716717경기도시흥시신천동신천동노인주야간보호작은자리 은빛사랑채경기도 시흥시 시흥대로 1087 (신천동)031-313-633737.432938126.7927992023-09-18
717718경기도시흥시신천동신천동노인주야간보호정겨운 주야간보호센터경기도 시흥시 수인로3395번길 2 (신천동)031-314-789037.441346126.7814882023-09-18
718719경기도시흥시정왕본동정왕동노인주야간보호정왕노인주야간보호센터경기도 시흥시 오동마을로6번길 2, 2층 (정왕동)031-498-600437.353089126.7419992023-09-18
719720경기도시흥시은행동은행동노인주야간보호한사랑주야간보호센터경기도 시흥시 은행로 151, 201호 (은행동, 드림빌딩)031-312-091137.444518126.7992022023-09-18
720721경기도시흥시정왕4동정왕동노인주야간보호함현상생은빛사랑채경기도 시흥시 함송로29번길 67 (정왕동)031-432-182637.36426126.7375222023-09-18
721722경기도시흥시목감동조남동노인노인복지시설목감 어르신작은복지관경기도 시흥시 목감우회로 23, 1층031-403-310337.381655126.8587732023-09-18