Overview

Dataset statistics

Number of variables7
Number of observations368
Missing cells104
Missing cells (%)4.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.6 KiB
Average record size in memory57.4 B

Variable types

Categorical2
Text4
Numeric1

Dataset

Description경기도 부천시 실내공기질 관리법 적용대상 다중이용시설에 대한 데이터로 광역동, 시설구분, 시설명, 소재지(도로명,지번), 전화번호, 연면적 등의 정보를 제공합니다.
Author경기도 부천시
URLhttps://www.data.go.kr/data/3080297/fileData.do

Alerts

소재지지번주소 has 7 (1.9%) missing valuesMissing
전화번호 has 80 (21.7%) missing valuesMissing
연면적 has 17 (4.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 22:24:21.261995
Analysis finished2023-12-12 22:24:22.057482
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

광역동
Categorical

Distinct11
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
신중동
118 
부천동
49 
상동
38 
범안동
35 
심곡동
34 
Other values (6)
94 

Length

Max length4
Median length3
Mean length2.9048913
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상동
2nd row신중동
3rd row신중동
4th row부천동
5th row부천동

Common Values

ValueCountFrequency (%)
신중동 118
32.1%
부천동 49
13.3%
상동 38
 
10.3%
범안동 35
 
9.5%
심곡동 34
 
9.2%
오정동 30
 
8.2%
성곡동 19
 
5.2%
중동 16
 
4.3%
소사본동 11
 
3.0%
대산동 10
 
2.7%

Length

2023-12-13T07:24:22.116753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
신중동 118
32.1%
부천동 49
13.3%
상동 38
 
10.3%
범안동 35
 
9.5%
심곡동 34
 
9.2%
오정동 30
 
8.2%
성곡동 19
 
5.2%
중동 16
 
4.3%
소사본동 11
 
3.0%
대산동 10
 
2.7%

시설구분
Categorical

Distinct22
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
실내주차장
124 
의료기관
47 
인터넷컴퓨터게임시설제공업
36 
노인요양시설
26 
어린이집(민)
25 
Other values (17)
110 

Length

Max length13
Median length10
Mean length5.9429348
Min length2

Unique

Unique3 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
실내주차장 124
33.7%
의료기관 47
 
12.8%
인터넷컴퓨터게임시설제공업 36
 
9.8%
노인요양시설 26
 
7.1%
어린이집(민) 25
 
6.8%
목욕장업 18
 
4.9%
대규모점포 17
 
4.6%
실내 영화상영관 10
 
2.7%
지하역사내 8
 
2.2%
어린이집(국) 7
 
1.9%
Other values (12) 50
13.6%

Length

2023-12-13T07:24:22.246384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
실내주차장 124
32.3%
의료기관 52
13.5%
인터넷컴퓨터게임시설제공업 36
 
9.4%
노인요양시설 26
 
6.8%
어린이집(민 25
 
6.5%
목욕장업 18
 
4.7%
대규모점포 17
 
4.4%
실내 10
 
2.6%
영화상영관 10
 
2.6%
지하역사내 8
 
2.1%
Other values (13) 58
15.1%

시설명
Text

Distinct363
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-13T07:24:22.504509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length8.8369565
Min length2

Characters and Unicode

Total characters3252
Distinct characters374
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

Unique361 ?
Unique (%)98.1%

Sample

1st row상동역
2nd row신중동역
3rd row부천시청역
4th row춘의역
5th row부천종합운동장역
ValueCountFrequency (%)
pc 8
 
1.6%
오피스텔 6
 
1.2%
cafe 5
 
1.0%
주차장 5
 
1.0%
디아뜨갤러리 5
 
1.0%
부천점 5
 
1.0%
db 4
 
0.8%
부천시립 4
 
0.8%
요양원 4
 
0.8%
산후조리원 4
 
0.8%
Other values (415) 455
90.1%
2023-12-13T07:24:23.253371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
148
 
4.6%
원 103
 
3.2%
부 88
 
2.7%
천 86
 
2.6%
이 83
 
2.6%
스 79
 
2.4%
) 58
 
1.8%
( 58
 
1.8%
병 55
 
1.7%
어 47
 
1.4%
Other values (364) 2447
75.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2725
83.8%
Uppercase Letter 164
 
5.0%
Space Separator 148
 
4.6%
Decimal Number 59
 
1.8%
Close Punctuation 58
 
1.8%
Open Punctuation 58
 
1.8%
Lowercase Letter 26
 
0.8%
Dash Punctuation 6
 
0.2%
Other Symbol 5
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 103
 
3.8%
부 88
 
3.2%
천 86
 
3.2%
이 83
 
3.0%
스 79
 
2.9%
병 55
 
2.0%
어 47
 
1.7%
동 46
 
1.7%
린 44
 
1.6%
집 43
 
1.6%
Other values (312) 2051
75.3%
Uppercase Letter
ValueCountFrequency (%)
C 45
27.4%
P 38
23.2%
A 12
 
7.3%
B 11
 
6.7%
E 10
 
6.1%
F 8
 
4.9%
D 7
 
4.3%
V 6
 
3.7%
G 6
 
3.7%
S 5
 
3.0%
Other values (7) 16
 
9.8%
Lowercase Letter
ValueCountFrequency (%)
p 5
19.2%
c 4
15.4%
e 2
 
7.7%
s 2
 
7.7%
y 1
 
3.8%
f 1
 
3.8%
x 1
 
3.8%
l 1
 
3.8%
a 1
 
3.8%
d 1
 
3.8%
Other values (7) 7
26.9%
Decimal Number
ValueCountFrequency (%)
1 16
27.1%
2 15
25.4%
3 9
15.3%
4 7
11.9%
8 3
 
5.1%
6 3
 
5.1%
9 2
 
3.4%
0 2
 
3.4%
5 1
 
1.7%
7 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
148
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2730
83.9%
Common 331
 
10.2%
Latin 191
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 103
 
3.8%
부 88
 
3.2%
천 86
 
3.2%
이 83
 
3.0%
스 79
 
2.9%
병 55
 
2.0%
어 47
 
1.7%
동 46
 
1.7%
린 44
 
1.6%
집 43
 
1.6%
Other values (313) 2056
75.3%
Latin
ValueCountFrequency (%)
C 45
23.6%
P 38
19.9%
A 12
 
6.3%
B 11
 
5.8%
E 10
 
5.2%
F 8
 
4.2%
D 7
 
3.7%
V 6
 
3.1%
G 6
 
3.1%
S 5
 
2.6%
Other values (25) 43
22.5%
Common
ValueCountFrequency (%)
148
44.7%
) 58
 
17.5%
( 58
 
17.5%
1 16
 
4.8%
2 15
 
4.5%
3 9
 
2.7%
4 7
 
2.1%
- 6
 
1.8%
8 3
 
0.9%
6 3
 
0.9%
Other values (6) 8
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2725
83.8%
ASCII 521
 
16.0%
None 5
 
0.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
148
28.4%
) 58
 
11.1%
( 58
 
11.1%
C 45
 
8.6%
P 38
 
7.3%
1 16
 
3.1%
2 15
 
2.9%
A 12
 
2.3%
B 11
 
2.1%
E 10
 
1.9%
Other values (40) 110
21.1%
Hangul
ValueCountFrequency (%)
원 103
 
3.8%
부 88
 
3.2%
천 86
 
3.2%
이 83
 
3.0%
스 79
 
2.9%
병 55
 
2.0%
어 47
 
1.7%
동 46
 
1.7%
린 44
 
1.6%
집 43
 
1.6%
Other values (312) 2051
75.3%
None
ValueCountFrequency (%)
㈜ 5
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

소재지도로명주소
Text

Distinct344
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-13T07:24:23.580722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length44
Mean length24.17663
Min length12

Characters and Unicode

Total characters8897
Distinct characters202
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

Unique325 ?
Unique (%)88.3%

Sample

1st row경기도 부천시 길주로 지하 104(상2동)
2nd row경기도 부천시 길주로 지하 314(중1동)
3rd row경기도 부천시 길주로 지하 202(중1동)
4th row경기도 부천시 길주로 지하 406(춘의동)
5th row경기도 부천시 길주로 지하 502(춘의동)
ValueCountFrequency (%)
부천시 368
20.9%
경기도 347
19.7%
길주로 46
 
2.6%
소사로 25
 
1.4%
부천로 22
 
1.2%
부일로 22
 
1.2%
신흥로 20
 
1.1%
소향로 20
 
1.1%
경인로 16
 
0.9%
중동로 15
 
0.9%
Other values (571) 862
48.9%
2023-12-13T07:24:24.127911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1429
 
16.1%
부 450
 
5.1%
천 417
 
4.7%
도 375
 
4.2%
로 372
 
4.2%
동 372
 
4.2%
시 371
 
4.2%
경 367
 
4.1%
1 366
 
4.1%
기 348
 
3.9%
Other values (192) 4030
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4947
55.6%
Decimal Number 1633
 
18.4%
Space Separator 1429
 
16.1%
Open Punctuation 340
 
3.8%
Close Punctuation 338
 
3.8%
Other Punctuation 162
 
1.8%
Dash Punctuation 23
 
0.3%
Math Symbol 13
 
0.1%
Uppercase Letter 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 450
 
9.1%
천 417
 
8.4%
도 375
 
7.6%
로 372
 
7.5%
동 372
 
7.5%
시 371
 
7.5%
경 367
 
7.4%
기 348
 
7.0%
길 164
 
3.3%
중 132
 
2.7%
Other values (170) 1579
31.9%
Decimal Number
ValueCountFrequency (%)
1 366
22.4%
2 271
16.6%
3 201
12.3%
0 154
9.4%
7 138
 
8.5%
4 130
 
8.0%
5 109
 
6.7%
8 96
 
5.9%
6 89
 
5.5%
9 79
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 7
58.3%
T 1
 
8.3%
K 1
 
8.3%
D 1
 
8.3%
I 1
 
8.3%
C 1
 
8.3%
Space Separator
ValueCountFrequency (%)
1429
100.0%
Open Punctuation
ValueCountFrequency (%)
( 340
100.0%
Close Punctuation
ValueCountFrequency (%)
) 338
100.0%
Other Punctuation
ValueCountFrequency (%)
. 162
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4947
55.6%
Common 3938
44.3%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 450
 
9.1%
천 417
 
8.4%
도 375
 
7.6%
로 372
 
7.5%
동 372
 
7.5%
시 371
 
7.5%
경 367
 
7.4%
기 348
 
7.0%
길 164
 
3.3%
중 132
 
2.7%
Other values (170) 1579
31.9%
Common
ValueCountFrequency (%)
1429
36.3%
1 366
 
9.3%
( 340
 
8.6%
) 338
 
8.6%
2 271
 
6.9%
3 201
 
5.1%
. 162
 
4.1%
0 154
 
3.9%
7 138
 
3.5%
4 130
 
3.3%
Other values (6) 409
 
10.4%
Latin
ValueCountFrequency (%)
B 7
58.3%
T 1
 
8.3%
K 1
 
8.3%
D 1
 
8.3%
I 1
 
8.3%
C 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4947
55.6%
ASCII 3950
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1429
36.2%
1 366
 
9.3%
( 340
 
8.6%
) 338
 
8.6%
2 271
 
6.9%
3 201
 
5.1%
. 162
 
4.1%
0 154
 
3.9%
7 138
 
3.5%
4 130
 
3.3%
Other values (12) 421
 
10.7%
Hangul
ValueCountFrequency (%)
부 450
 
9.1%
천 417
 
8.4%
도 375
 
7.6%
로 372
 
7.5%
동 372
 
7.5%
시 371
 
7.5%
경 367
 
7.4%
기 348
 
7.0%
길 164
 
3.3%
중 132
 
2.7%
Other values (170) 1579
31.9%

소재지지번주소
Text

MISSING 

Distinct351
Distinct (%)97.2%
Missing7
Missing (%)1.9%
Memory size3.0 KiB
2023-12-13T07:24:24.513033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length45
Mean length19.950139
Min length13

Characters and Unicode

Total characters7202
Distinct characters163
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

Unique342 ?
Unique (%)94.7%

Sample

1st row경기도 부천시 상2동 633
2nd row경기도 부천시 중1동 1140-6
3rd row경기도 부천시 중1동 1243
4th row경기도 부천시 춘의동 145
5th row경기도 부천시 춘의동 151
ValueCountFrequency (%)
부천시 361
22.8%
경기도 359
22.7%
중동 84
 
5.3%
상동 27
 
1.7%
중1동 19
 
1.2%
도당동 19
 
1.2%
옥길동 16
 
1.0%
춘의동 15
 
0.9%
괴안동 14
 
0.9%
심곡동 14
 
0.9%
Other values (473) 652
41.3%
2023-12-13T07:24:25.055217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1264
17.6%
1 515
 
7.2%
도 378
 
5.2%
부 370
 
5.1%
천 364
 
5.1%
동 364
 
5.1%
시 363
 
5.0%
경 359
 
5.0%
기 359
 
5.0%
- 258
 
3.6%
Other values (153) 2608
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3854
53.5%
Decimal Number 1729
24.0%
Space Separator 1264
 
17.6%
Dash Punctuation 258
 
3.6%
Other Punctuation 58
 
0.8%
Close Punctuation 11
 
0.2%
Open Punctuation 11
 
0.2%
Math Symbol 10
 
0.1%
Uppercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 378
9.8%
부 370
9.6%
천 364
9.4%
동 364
9.4%
시 363
9.4%
경 359
9.3%
기 359
9.3%
지 180
 
4.7%
번 168
 
4.4%
중 115
 
3.0%
Other values (133) 834
21.6%
Decimal Number
ValueCountFrequency (%)
1 515
29.8%
2 214
12.4%
3 211
12.2%
4 178
 
10.3%
5 149
 
8.6%
6 109
 
6.3%
0 103
 
6.0%
7 102
 
5.9%
8 80
 
4.6%
9 68
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
B 3
42.9%
C 2
28.6%
I 1
 
14.3%
F 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1264
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 258
100.0%
Other Punctuation
ValueCountFrequency (%)
. 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3854
53.5%
Common 3341
46.4%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 378
9.8%
부 370
9.6%
천 364
9.4%
동 364
9.4%
시 363
9.4%
경 359
9.3%
기 359
9.3%
지 180
 
4.7%
번 168
 
4.4%
중 115
 
3.0%
Other values (133) 834
21.6%
Common
ValueCountFrequency (%)
1264
37.8%
1 515
15.4%
- 258
 
7.7%
2 214
 
6.4%
3 211
 
6.3%
4 178
 
5.3%
5 149
 
4.5%
6 109
 
3.3%
0 103
 
3.1%
7 102
 
3.1%
Other values (6) 238
 
7.1%
Latin
ValueCountFrequency (%)
B 3
42.9%
C 2
28.6%
I 1
 
14.3%
F 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3854
53.5%
ASCII 3348
46.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1264
37.8%
1 515
15.4%
- 258
 
7.7%
2 214
 
6.4%
3 211
 
6.3%
4 178
 
5.3%
5 149
 
4.5%
6 109
 
3.3%
0 103
 
3.1%
7 102
 
3.0%
Other values (10) 245
 
7.3%
Hangul
ValueCountFrequency (%)
도 378
9.8%
부 370
9.6%
천 364
9.4%
동 364
9.4%
시 363
9.4%
경 359
9.3%
기 359
9.3%
지 180
 
4.7%
번 168
 
4.4%
중 115
 
3.0%
Other values (133) 834
21.6%

전화번호
Text

MISSING 

Distinct260
Distinct (%)90.3%
Missing80
Missing (%)21.7%
Memory size3.0 KiB
2023-12-13T07:24:25.364362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.003472
Min length9

Characters and Unicode

Total characters3457
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

Unique239 ?
Unique (%)83.0%

Sample

1st row02-6311-7560
2nd row02-6311-7540
3rd row02-6311-7550
4th row02-6311-7530
5th row02-6311-7520
ValueCountFrequency (%)
032-625-4741 5
 
1.7%
032-620-3535 5
 
1.7%
032-321-3432 3
 
1.0%
070-4453-5253 2
 
0.7%
032-670-0185 2
 
0.7%
032-656-4114 2
 
0.7%
032-611-9001 2
 
0.7%
032-621-5977 2
 
0.7%
032-655-9980 2
 
0.7%
032-216-3534 2
 
0.7%
Other values (250) 261
90.6%
2023-12-13T07:24:25.850027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 574
16.6%
0 547
15.8%
2 544
15.7%
3 541
15.6%
6 251
7.3%
1 241
7.0%
5 189
 
5.5%
7 179
 
5.2%
4 154
 
4.5%
8 133
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2883
83.4%
Dash Punctuation 574
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 547
19.0%
2 544
18.9%
3 541
18.8%
6 251
8.7%
1 241
8.4%
5 189
 
6.6%
7 179
 
6.2%
4 154
 
5.3%
8 133
 
4.6%
9 104
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 574
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3457
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 574
16.6%
0 547
15.8%
2 544
15.7%
3 541
15.6%
6 251
7.3%
1 241
7.0%
5 189
 
5.5%
7 179
 
5.2%
4 154
 
4.5%
8 133
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3457
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 574
16.6%
0 547
15.8%
2 544
15.7%
3 541
15.6%
6 251
7.3%
1 241
7.0%
5 189
 
5.5%
7 179
 
5.2%
4 154
 
4.5%
8 133
 
3.8%

연면적
Real number (ℝ)

MISSING 

Distinct342
Distinct (%)97.4%
Missing17
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean6420.2144
Minimum218
Maximum90077
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-13T07:24:26.018031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum218
5-th percentile372.015
Q11096
median2783
Q35038.455
95-th percentile28686.285
Maximum90077
Range89859
Interquartile range (IQR)3942.455

Descriptive statistics

Standard deviation11527.631
Coefficient of variation (CV)1.7955212
Kurtosis15.742352
Mean6420.2144
Median Absolute Deviation (MAD)1860
Skewness3.6934124
Sum2253495.3
Variance1.3288628 × 108
MonotonicityNot monotonic
2023-12-13T07:24:26.164756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8342.0 2
 
0.5%
434.0 2
 
0.5%
3825.46 2
 
0.5%
2695.0 2
 
0.5%
10954.0 2
 
0.5%
47990.0 2
 
0.5%
590.0 2
 
0.5%
16500.0 2
 
0.5%
3929.0 2
 
0.5%
5816.0 1
 
0.3%
Other values (332) 332
90.2%
(Missing) 17
 
4.6%
ValueCountFrequency (%)
218.0 1
0.3%
312.0 1
0.3%
314.0 1
0.3%
315.79 1
0.3%
319.0 1
0.3%
327.0 1
0.3%
329.0 1
0.3%
331.0 1
0.3%
333.2 1
0.3%
334.0 1
0.3%
ValueCountFrequency (%)
90077.0 1
0.3%
67923.0 1
0.3%
60556.23 1
0.3%
58043.0 1
0.3%
57483.0 1
0.3%
51417.0 1
0.3%
50642.78 1
0.3%
47990.0 2
0.5%
47606.0 1
0.3%
45276.0 1
0.3%

Interactions

2023-12-13T07:24:21.727632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:24:26.255246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
광역동시설구분연면적
광역동1.0000.6820.000
시설구분0.6821.0000.168
연면적0.0000.1681.000
2023-12-13T07:24:26.335356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
광역동시설구분
광역동1.0000.268
시설구분0.2681.000
2023-12-13T07:24:26.415933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적광역동시설구분
연면적1.0000.0000.064
광역동0.0001.0000.268
시설구분0.0640.2681.000

Missing values

2023-12-13T07:24:21.819136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:24:21.914195image/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.
2023-12-13T07:24:22.006978image/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

광역동시설구분시설명소재지도로명주소소재지지번주소전화번호연면적
0상동지하역사내상동역경기도 부천시 길주로 지하 104(상2동)경기도 부천시 상2동 63302-6311-75609957.0
1신중동지하역사내신중동역경기도 부천시 길주로 지하 314(중1동)경기도 부천시 중1동 1140-602-6311-754011039.0
2신중동지하역사내부천시청역경기도 부천시 길주로 지하 202(중1동)경기도 부천시 중1동 124302-6311-75508662.0
3부천동지하역사내춘의역경기도 부천시 길주로 지하 406(춘의동)경기도 부천시 춘의동 14502-6311-75309350.0
4부천동지하역사내부천종합운동장역경기도 부천시 길주로 지하 502(춘의동)경기도 부천시 춘의동 15102-6311-75209237.0
5부천동지하역사내까치울역경기도 부천시 길주로 지하 626(춘의동)경기도 부천시 춘의동 3102-6311-75107026.0
6소사본동지하역사내소사역경기도 부천시 소사로 지하 284경기도 부천시 소사동 43-51031-5183-270013869.0
7소사본동지하역사내소새울역경기도 부천시 소사로 지하 120경기도 부천시 소사본동 420-1031-5183-27107151.0
8심곡동지하도상가부천지하도상가경기도 부천시 부천로 3(심곡동)경기도 부천시 심곡본동 529-3. 심곡동 498032-662-86804376.0
9심곡동철도대합실부천역사(역장)경기도 부천시 부천로 1(심곡본동)경기도 부천시 심곡본동 594-1032-665-77754911.0
광역동시설구분시설명소재지도로명주소소재지지번주소전화번호연면적
358오정동목욕장업백두산 대중목욕탕경기도 부천시 원종로 64(원종1동)경기도 부천시 원종1동 313-10032-682-28131403.0
359부천동목욕장업은성프라자사우나경기도 부천시 수도로 202(도당동)경기도 부천시 도당동 43-3032-683-30301409.0
360부천동목욕장업건강스파랜드불한증막사우나경기도 부천시 부일로 754(역곡1동)경기도 부천시 역곡1동 112-1032-345-60381756.0
361범안동목욕장업벽계수스파 부천옥길점경기도 부천시 옥길로 116. 문영퀸즈파크 9.10층 B301. 811.901.902.903.1001호경기도 부천시 옥길동 745-1. 문영퀸즈파크 9.10층 B301. 811.901.902.903.1001호<NA>2867.35
362상동실내어린이 놀이시설챔피언 상동 홈플러스점경기도 부천시 길주로 118 (상동)홈플러스 상동점 2층 챔피언<NA>032-321-32821061.0
363범안동실내어린이 놀이시설팜핑스쿨 부천점 실내놀이시설경기도 부천시 범안로 117(범박동. 현대리치모아)지하1층<NA>032-348-9501661.0
364상동실내어린이 놀이시설(주)이키즈랜드 코코몽키즈랜드 부천점경기도 부천시 송내대로 239 (상동)소풍뉴코아부천점 4층<NA>032-624-80511221.0
365상동실내어린이 놀이시설볼베어파크 내 어린이놀이시설경기도 부천시 조마루로 2 (상동)웅진플레이도시 2층. 볼베어파크<NA>032-322-77605598.0
366범안동실내어린이 놀이시설SF시티 부천점 -챔피언(4층)경기도 부천시 옥길로 1 (옥길동)스타필드 부천점 4층<NA>02-6386-1422542.32
367상동실내어린이 놀이시설국제키즈판타지아경기도 부천시 송내대로 239 (상동)소풍 지하 2층<NA>032-624-78001685.02