Overview

Dataset statistics

Number of variables10
Number of observations576
Missing cells447
Missing cells (%)7.8%
Duplicate rows3
Duplicate rows (%)0.5%
Total size in memory46.3 KiB
Average record size in memory82.2 B

Variable types

Text3
Categorical3
DateTime2
Numeric2

Dataset

Description화성시 관내 결식아동에 대한 복지 시설의 정보를 확인할 수 있습니다. 시설의 명칭과 음식의 종류, 주소와 연락처를 제공하고 있습니다.
Author경기도 화성시
URLhttps://www.data.go.kr/data/15076282/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 3 (0.5%) duplicate rowsDuplicates
관리기관 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
업태 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
구분 is highly overall correlated with 업태 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 관리기관High correlation
경도 is highly overall correlated with 관리기관High correlation
관리기관 is highly imbalanced (67.6%)Imbalance
시설명 has 34 (5.9%) missing valuesMissing
가입일 has 34 (5.9%) missing valuesMissing
도로명 주소 has 34 (5.9%) missing valuesMissing
위도 has 110 (19.1%) missing valuesMissing
경도 has 110 (19.1%) missing valuesMissing
전화번호 has 91 (15.8%) missing valuesMissing
데이터기준일자 has 34 (5.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 04:02:24.546607
Analysis finished2023-12-12 04:02:26.901558
Duration2.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

MISSING 

Distinct502
Distinct (%)92.6%
Missing34
Missing (%)5.9%
Memory size4.6 KiB
2023-12-12T13:02:27.144856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length9.3560886
Min length1

Characters and Unicode

Total characters5071
Distinct characters330
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique479 ?
Unique (%)88.4%

Sample

1st row세븐일레븐
2nd row아딸(봉담점)
3rd row김밥나라
4th row김밥촌
5th row짜장나라
ValueCountFrequency (%)
gs25 199
 
21.4%
씨유(cu 67
 
7.2%
세븐일레븐 52
 
5.6%
위드미 27
 
2.9%
김밥천국 10
 
1.1%
김밥나라 7
 
0.8%
봉구스밥버거 6
 
0.6%
수원대점 5
 
0.5%
파리바게트 5
 
0.5%
파리바게뜨 4
 
0.4%
Other values (475) 547
58.9%
2023-12-12T13:02:27.703935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 421
 
8.3%
387
 
7.6%
2 206
 
4.1%
5 204
 
4.0%
S 202
 
4.0%
G 199
 
3.9%
성 148
 
2.9%
화 131
 
2.6%
동 120
 
2.4%
븐 104
 
2.1%
Other values (320) 2949
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3560
70.2%
Uppercase Letter 548
 
10.8%
Decimal Number 429
 
8.5%
Space Separator 387
 
7.6%
Open Punctuation 73
 
1.4%
Close Punctuation 73
 
1.4%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 421
 
11.8%
성 148
 
4.2%
화 131
 
3.7%
동 120
 
3.4%
븐 104
 
2.9%
탄 104
 
2.9%
남 85
 
2.4%
유 73
 
2.1%
씨 67
 
1.9%
일 64
 
1.8%
Other values (300) 2243
63.0%
Uppercase Letter
ValueCountFrequency (%)
S 202
36.9%
G 199
36.3%
C 70
 
12.8%
U 67
 
12.2%
I 5
 
0.9%
K 1
 
0.2%
N 1
 
0.2%
R 1
 
0.2%
D 1
 
0.2%
T 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 206
48.0%
5 204
47.6%
1 12
 
2.8%
0 5
 
1.2%
7 1
 
0.2%
4 1
 
0.2%
Space Separator
ValueCountFrequency (%)
387
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3560
70.2%
Common 963
 
19.0%
Latin 548
 
10.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 421
 
11.8%
성 148
 
4.2%
화 131
 
3.7%
동 120
 
3.4%
븐 104
 
2.9%
탄 104
 
2.9%
남 85
 
2.4%
유 73
 
2.1%
씨 67
 
1.9%
일 64
 
1.8%
Other values (300) 2243
63.0%
Common
ValueCountFrequency (%)
387
40.2%
2 206
21.4%
5 204
21.2%
( 73
 
7.6%
) 73
 
7.6%
1 12
 
1.2%
0 5
 
0.5%
7 1
 
0.1%
4 1
 
0.1%
. 1
 
0.1%
Latin
ValueCountFrequency (%)
S 202
36.9%
G 199
36.3%
C 70
 
12.8%
U 67
 
12.2%
I 5
 
0.9%
K 1
 
0.2%
N 1
 
0.2%
R 1
 
0.2%
D 1
 
0.2%
T 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3560
70.2%
ASCII 1511
29.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 421
 
11.8%
성 148
 
4.2%
화 131
 
3.7%
동 120
 
3.4%
븐 104
 
2.9%
탄 104
 
2.9%
남 85
 
2.4%
유 73
 
2.1%
씨 67
 
1.9%
일 64
 
1.8%
Other values (300) 2243
63.0%
ASCII
ValueCountFrequency (%)
387
25.6%
2 206
13.6%
5 204
13.5%
S 202
13.4%
G 199
13.2%
( 73
 
4.8%
) 73
 
4.8%
C 70
 
4.6%
U 67
 
4.4%
1 12
 
0.8%
Other values (10) 18
 
1.2%

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
일반가맹점(편의점)
344 
일반가맹점
157 
주부식가맹점
40 
<NA>
 
34
대표가맹점(편의점)
 
1

Length

Max length10
Median length10
Mean length8.0052083
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row대표가맹점(편의점)
2nd row일반가맹점
3rd row일반가맹점
4th row일반가맹점
5th row일반가맹점

Common Values

ValueCountFrequency (%)
일반가맹점(편의점) 344
59.7%
일반가맹점 157
27.3%
주부식가맹점 40
 
6.9%
<NA> 34
 
5.9%
대표가맹점(편의점) 1
 
0.2%

Length

2023-12-12T13:02:27.923063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:28.100177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반가맹점(편의점 344
59.7%
일반가맹점 157
27.3%
주부식가맹점 40
 
6.9%
na 34
 
5.9%
대표가맹점(편의점 1
 
0.2%

업태
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
체인화편의점
345 
<NA>
59 
한식점
50 
기타일반음식점
 
34
슈퍼마켓
 
34
Other values (7)
54 

Length

Max length7
Median length6
Mean length5.296875
Min length3

Unique

Unique3 ?
Unique (%)0.5%

Sample

1st row체인화편의점
2nd row한식점
3rd row한식점
4th row한식점
5th row중국음식점

Common Values

ValueCountFrequency (%)
체인화편의점 345
59.9%
<NA> 59
 
10.2%
한식점 50
 
8.7%
기타일반음식점 34
 
5.9%
슈퍼마켓 34
 
5.9%
제과점 27
 
4.7%
중국음식점 15
 
2.6%
대형종합소매 5
 
0.9%
서양음식점 4
 
0.7%
곡물소매 1
 
0.2%
Other values (2) 2
 
0.3%

Length

2023-12-12T13:02:28.296612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
체인화편의점 345
59.9%
na 59
 
10.2%
한식점 50
 
8.7%
기타일반음식점 34
 
5.9%
슈퍼마켓 34
 
5.9%
제과점 27
 
4.7%
중국음식점 15
 
2.6%
대형종합소매 5
 
0.9%
서양음식점 4
 
0.7%
곡물소매 1
 
0.2%
Other values (2) 2
 
0.3%

가입일
Date

MISSING 

Distinct129
Distinct (%)23.8%
Missing34
Missing (%)5.9%
Memory size4.6 KiB
Minimum2011-03-04 00:00:00
Maximum2020-03-03 00:00:00
2023-12-12T13:02:28.500066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:02:28.706977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

도로명 주소
Text

MISSING 

Distinct502
Distinct (%)92.6%
Missing34
Missing (%)5.9%
Memory size4.6 KiB
2023-12-12T13:02:29.073426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length21.54059
Min length11

Characters and Unicode

Total characters11675
Distinct characters271
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

Unique479 ?
Unique (%)88.4%

Sample

1st row경기 화성시 매송면 천천리 210-8
2nd row경기 화성시 봉담읍 동화리 봉담택지지구B-5 상도프라자 102호
3rd row경기 화성시 봉담읍 동화리 599-3 주공프라자 102호
4th row경기 화성시 반월동 869 현대프라자 111호 25-6
5th row경기 화성시 병점동 842-5
ValueCountFrequency (%)
화성시 542
 
19.8%
경기 403
 
14.7%
경기도 139
 
5.1%
향남읍 69
 
2.5%
봉담읍 62
 
2.3%
반송동 32
 
1.2%
1층 31
 
1.1%
병점동 22
 
0.8%
팔탄면 20
 
0.7%
남양읍 18
 
0.7%
Other values (807) 1395
51.0%
2023-12-12T13:02:29.715357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2191
18.8%
1 658
 
5.6%
화 589
 
5.0%
성 574
 
4.9%
시 558
 
4.8%
기 553
 
4.7%
경 545
 
4.7%
2 281
 
2.4%
동 273
 
2.3%
0 272
 
2.3%
Other values (261) 5181
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6769
58.0%
Decimal Number 2373
 
20.3%
Space Separator 2191
 
18.8%
Dash Punctuation 262
 
2.2%
Uppercase Letter 28
 
0.2%
Other Punctuation 17
 
0.1%
Close Punctuation 16
 
0.1%
Open Punctuation 16
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 589
 
8.7%
성 574
 
8.5%
시 558
 
8.2%
기 553
 
8.2%
경 545
 
8.1%
동 273
 
4.0%
로 259
 
3.8%
읍 161
 
2.4%
도 155
 
2.3%
남 147
 
2.2%
Other values (232) 2955
43.7%
Decimal Number
ValueCountFrequency (%)
1 658
27.7%
2 281
11.8%
0 272
11.5%
3 231
 
9.7%
8 177
 
7.5%
4 177
 
7.5%
5 175
 
7.4%
6 153
 
6.4%
7 134
 
5.6%
9 115
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 13
46.4%
S 3
 
10.7%
A 3
 
10.7%
L 2
 
7.1%
E 2
 
7.1%
T 1
 
3.6%
P 1
 
3.6%
M 1
 
3.6%
C 1
 
3.6%
J 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 12
70.6%
. 2
 
11.8%
@ 2
 
11.8%
/ 1
 
5.9%
Space Separator
ValueCountFrequency (%)
2191
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 262
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6769
58.0%
Common 4878
41.8%
Latin 28
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 589
 
8.7%
성 574
 
8.5%
시 558
 
8.2%
기 553
 
8.2%
경 545
 
8.1%
동 273
 
4.0%
로 259
 
3.8%
읍 161
 
2.4%
도 155
 
2.3%
남 147
 
2.2%
Other values (232) 2955
43.7%
Common
ValueCountFrequency (%)
2191
44.9%
1 658
 
13.5%
2 281
 
5.8%
0 272
 
5.6%
- 262
 
5.4%
3 231
 
4.7%
8 177
 
3.6%
4 177
 
3.6%
5 175
 
3.6%
6 153
 
3.1%
Other values (9) 301
 
6.2%
Latin
ValueCountFrequency (%)
B 13
46.4%
S 3
 
10.7%
A 3
 
10.7%
L 2
 
7.1%
E 2
 
7.1%
T 1
 
3.6%
P 1
 
3.6%
M 1
 
3.6%
C 1
 
3.6%
J 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6769
58.0%
ASCII 4906
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2191
44.7%
1 658
 
13.4%
2 281
 
5.7%
0 272
 
5.5%
- 262
 
5.3%
3 231
 
4.7%
8 177
 
3.6%
4 177
 
3.6%
5 175
 
3.6%
6 153
 
3.1%
Other values (19) 329
 
6.7%
Hangul
ValueCountFrequency (%)
화 589
 
8.7%
성 574
 
8.5%
시 558
 
8.2%
기 553
 
8.2%
경 545
 
8.1%
동 273
 
4.0%
로 259
 
3.8%
읍 161
 
2.4%
도 155
 
2.3%
남 147
 
2.2%
Other values (232) 2955
43.7%

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct402
Distinct (%)86.3%
Missing110
Missing (%)19.1%
Infinite0
Infinite (%)0.0%
Mean37.187434
Minimum37.044891
Maximum37.286604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-12T13:02:29.935272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.044891
5-th percentile37.087015
Q137.168127
median37.205965
Q337.21463
95-th percentile37.235722
Maximum37.286604
Range0.24171325
Interquartile range (IQR)0.04650373

Descriptive statistics

Standard deviation0.043967071
Coefficient of variation (CV)0.0011823099
Kurtosis0.57732745
Mean37.187434
Median Absolute Deviation (MAD)0.01137599
Skewness-1.1206274
Sum17329.344
Variance0.0019331034
MonotonicityNot monotonic
2023-12-12T13:02:30.153290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.19397655 9
 
1.6%
37.2167157 8
 
1.4%
37.21013911 6
 
1.0%
37.20983881 4
 
0.7%
37.20608148 4
 
0.7%
37.21694872 4
 
0.7%
37.20006805 4
 
0.7%
37.21629453 4
 
0.7%
37.26615161 3
 
0.5%
37.21093248 3
 
0.5%
Other values (392) 417
72.4%
(Missing) 110
 
19.1%
ValueCountFrequency (%)
37.04489084 1
0.2%
37.05018194 1
0.2%
37.05063022 1
0.2%
37.06432023 1
0.2%
37.07115806 1
0.2%
37.07232224 1
0.2%
37.07485804 1
0.2%
37.07492651 1
0.2%
37.07715827 1
0.2%
37.08011619 1
0.2%
ValueCountFrequency (%)
37.28660409 1
 
0.2%
37.27912812 1
 
0.2%
37.27548463 1
 
0.2%
37.26615161 3
0.5%
37.24999954 1
 
0.2%
37.24988371 1
 
0.2%
37.24942952 1
 
0.2%
37.24917108 1
 
0.2%
37.2490911 1
 
0.2%
37.24809997 1
 
0.2%

경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct402
Distinct (%)86.3%
Missing110
Missing (%)19.1%
Infinite0
Infinite (%)0.0%
Mean126.96658
Minimum126.61792
Maximum127.12444
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-12T13:02:30.355203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.61792
5-th percentile126.79519
Q1126.90127
median126.97889
Q3127.05577
95-th percentile127.08846
Maximum127.12444
Range0.5065158
Interquartile range (IQR)0.154502

Descriptive statistics

Standard deviation0.1019121
Coefficient of variation (CV)0.00080266875
Kurtosis-0.31668427
Mean126.96658
Median Absolute Deviation (MAD)0.0771519
Skewness-0.65195543
Sum59166.425
Variance0.010386077
MonotonicityNot monotonic
2023-12-12T13:02:30.567084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0743087 9
 
1.6%
126.9586764 8
 
1.4%
127.059612 6
 
1.0%
126.8190583 4
 
0.7%
127.0402861 4
 
0.7%
126.9583817 4
 
0.7%
127.037697 4
 
0.7%
126.9592204 4
 
0.7%
126.8791865 3
 
0.5%
127.0383408 3
 
0.5%
Other values (392) 417
72.4%
(Missing) 110
 
19.1%
ValueCountFrequency (%)
126.6179217 1
0.2%
126.6184236 1
0.2%
126.6883435 1
0.2%
126.6998443 1
0.2%
126.7057868 1
0.2%
126.7276096 1
0.2%
126.7295166 1
0.2%
126.730125 1
0.2%
126.7359746 1
0.2%
126.7361754 1
0.2%
ValueCountFrequency (%)
127.1244375 1
0.2%
127.1241302 1
0.2%
127.1196647 1
0.2%
127.1192135 1
0.2%
127.1189631 1
0.2%
127.1172379 1
0.2%
127.1141955 1
0.2%
127.1140074 1
0.2%
127.1127452 1
0.2%
127.1115873 1
0.2%

전화번호
Text

MISSING 

Distinct430
Distinct (%)88.7%
Missing91
Missing (%)15.8%
Memory size4.6 KiB
2023-12-12T13:02:30.908122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length9
Mean length9.4597938
Min length9

Characters and Unicode

Total characters4588
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique398 ?
Unique (%)82.1%

Sample

1st row312945276
2nd row312976618
3rd row(031) 8170-3329
4th row312477828
5th row312323288
ValueCountFrequency (%)
031 16
 
3.2%
316132904 9
 
1.8%
312945276 9
 
1.8%
312324110 4
 
0.8%
8170-3329 4
 
0.8%
8003-4885 4
 
0.8%
3181703329 3
 
0.6%
312942282 3
 
0.6%
808555525 3
 
0.6%
070 3
 
0.6%
Other values (422) 446
88.5%
2023-12-12T13:02:31.419343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 993
21.6%
1 745
16.2%
2 504
11.0%
5 456
9.9%
0 375
 
8.2%
8 305
 
6.6%
6 296
 
6.5%
4 287
 
6.3%
7 268
 
5.8%
9 257
 
5.6%
Other values (4) 102
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4486
97.8%
Dash Punctuation 44
 
1.0%
Close Punctuation 20
 
0.4%
Open Punctuation 19
 
0.4%
Space Separator 19
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 993
22.1%
1 745
16.6%
2 504
11.2%
5 456
10.2%
0 375
 
8.4%
8 305
 
6.8%
6 296
 
6.6%
4 287
 
6.4%
7 268
 
6.0%
9 257
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4588
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 993
21.6%
1 745
16.2%
2 504
11.0%
5 456
9.9%
0 375
 
8.2%
8 305
 
6.6%
6 296
 
6.5%
4 287
 
6.3%
7 268
 
5.8%
9 257
 
5.6%
Other values (4) 102
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4588
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 993
21.6%
1 745
16.2%
2 504
11.0%
5 456
9.9%
0 375
 
8.2%
8 305
 
6.6%
6 296
 
6.5%
4 287
 
6.3%
7 268
 
5.8%
9 257
 
5.6%
Other values (4) 102
 
2.2%

관리기관
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
화성시 아동보육과
542 
<NA>
 
34

Length

Max length9
Median length9
Mean length8.7048611
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row화성시 아동보육과
2nd row화성시 아동보육과
3rd row화성시 아동보육과
4th row화성시 아동보육과
5th row화성시 아동보육과

Common Values

ValueCountFrequency (%)
화성시 아동보육과 542
94.1%
<NA> 34
 
5.9%

Length

2023-12-12T13:02:31.598932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:02:31.700634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화성시 542
48.5%
아동보육과 542
48.5%
na 34
 
3.0%

데이터기준일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing34
Missing (%)5.9%
Memory size4.6 KiB
Minimum2020-05-06 00:00:00
Maximum2020-05-06 00:00:00
2023-12-12T13:02:31.803337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:02:31.907833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T13:02:25.609468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:02:25.351000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:02:25.768801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:02:25.473336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:02:31.983351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업태위도경도
구분1.0000.8880.3570.139
업태0.8881.0000.2160.111
위도0.3570.2161.0000.776
경도0.1390.1110.7761.000
2023-12-12T13:02:32.082436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관업태구분
관리기관1.0001.0001.000
업태1.0001.0000.770
구분1.0000.7701.000
2023-12-12T13:02:32.169545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도구분업태관리기관
위도1.0000.2490.2190.1041.000
경도0.2491.0000.0830.0521.000
구분0.2190.0831.0000.7701.000
업태0.1040.0520.7701.0001.000
관리기관1.0001.0001.0001.0001.000

Missing values

2023-12-12T13:02:26.352596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:02:26.539024image/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.
2023-12-12T13:02:26.742086image/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

시설명구분업태가입일도로명 주소위도경도전화번호관리기관데이터기준일자
0세븐일레븐대표가맹점(편의점)체인화편의점2011.11.07경기 화성시 매송면 천천리 210-837.243876126.945279312945276화성시 아동보육과2020-05-06
1아딸(봉담점)일반가맹점한식점2011.10.20경기 화성시 봉담읍 동화리 봉담택지지구B-5 상도프라자 102호<NA><NA>312976618화성시 아동보육과2020-05-06
2김밥나라일반가맹점한식점2011.10.20경기 화성시 봉담읍 동화리 599-3 주공프라자 102호37.216716126.958676(031) 8170-3329화성시 아동보육과2020-05-06
3김밥촌일반가맹점한식점2011.10.20경기 화성시 반월동 869 현대프라자 111호 25-6<NA><NA>312477828화성시 아동보육과2020-05-06
4짜장나라일반가맹점중국음식점2011.10.20경기 화성시 병점동 842-537.208766127.044609312323288화성시 아동보육과2020-05-06
5토담골손칼국수일반가맹점한식점2011.10.20경기 화성시 향남읍 행정리 418-837.130029126.913519313665581화성시 아동보육과2020-05-06
6아딸병점역점일반가맹점기타일반음식점2011.11.07경기 화성시 병점동 348-4외 2필지 그린씨티103호37.207787127.036162312321524화성시 아동보육과2020-05-06
7모박사부대찌개일반가맹점한식점2011.11.07경기 화성시 병점동 348-4 2층37.207787127.036162312240020화성시 아동보육과2020-05-06
8서초골일반가맹점한식점2011.11.07경기 화성시 병점동 832-237.211372127.042339312269396화성시 아동보육과2020-05-06
9김밥천국일반가맹점한식점2011.11.07경기 화성시 반송동 217-1 리첸프라자 10237.193977127.074309316132904화성시 아동보육과2020-05-06
시설명구분업태가입일도로명 주소위도경도전화번호관리기관데이터기준일자
566<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
567<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
568<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
569<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
570<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
571<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
572<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
573<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
574<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
575<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시설명구분업태가입일도로명 주소위도경도전화번호관리기관데이터기준일자# duplicates
2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>34
0김밥천국일반가맹점한식점2011.11.07경기 화성시 반송동 217-1 리첸프라자 10237.193977127.074309316132904화성시 아동보육과2020-05-062
1김밥천국일반가맹점한식점2011.11.11경기 화성시 반송동 217-1 리첸프라자 10237.193977127.074309316132904화성시 아동보육과2020-05-062