Overview

Dataset statistics

Number of variables11
Number of observations199
Missing cells16
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.0 KiB
Average record size in memory92.7 B

Variable types

Numeric4
Categorical3
Text4

Dataset

Description경기도 의정부시 다중이용시설 실내공기질 관리대상업체 현황 데이터로 번호, 시군명, 시설구분, 시설명, 소재지도로명주소, 소재지지번주소, 전화번호, 연면적(제곱미터), 위도, 경도, 데이터기준일 등으로 구성되어 있습니다.
Author경기도 의정부시
URLhttps://www.data.go.kr/data/15039879/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일 has constant value ""Constant
번호 is highly overall correlated with 시설구분High correlation
시설구분 is highly overall correlated with 번호High correlation
전화번호 has 15 (7.5%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:40:28.856968
Analysis finished2023-12-12 16:40:31.098408
Duration2.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100
Minimum1
Maximum199
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:40:31.168068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.9
Q150.5
median100
Q3149.5
95-th percentile189.1
Maximum199
Range198
Interquartile range (IQR)99

Descriptive statistics

Standard deviation57.590508
Coefficient of variation (CV)0.57590508
Kurtosis-1.2
Mean100
Median Absolute Deviation (MAD)50
Skewness0
Sum19900
Variance3316.6667
MonotonicityStrictly increasing
2023-12-13T01:40:31.307158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
138 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
Other values (189) 189
95.0%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
199 1
0.5%
198 1
0.5%
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
의정부시
199 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의정부시 199
100.0%

Length

2023-12-13T01:40:31.439734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:40:31.539648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의정부시 199
100.0%

시설구분
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
실내주차장
48 
어린이집
35 
의료기관
31 
노인요양시설
30 
목욕장
12 
Other values (10)
43 

Length

Max length9
Median length8
Mean length4.7889447
Min length3

Unique

Unique3 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
실내주차장 48
24.1%
어린이집 35
17.6%
의료기관 31
15.6%
노인요양시설 30
15.1%
목욕장 12
 
6.0%
PC영업시설 10
 
5.0%
대규모점포 7
 
3.5%
산후조리원 7
 
3.5%
장례식장 5
 
2.5%
영화상영관 4
 
2.0%
Other values (5) 10
 
5.0%

Length

2023-12-13T01:40:31.656776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
실내주차장 48
24.0%
어린이집 35
17.5%
의료기관 31
15.5%
노인요양시설 30
15.0%
목욕장 12
 
6.0%
pc영업시설 10
 
5.0%
대규모점포 7
 
3.5%
산후조리원 7
 
3.5%
장례식장 5
 
2.5%
영화상영관 4
 
2.0%
Other values (6) 11
 
5.5%

시설명
Text

Distinct194
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T01:40:31.902825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length8.3567839
Min length3

Characters and Unicode

Total characters1663
Distinct characters294
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

Unique190 ?
Unique (%)95.5%

Sample

1st row24시신세계불가마사우나
2nd row가능사우나
3rd row금오아쿠아월드사우나
4th row도봉산불가마사우나
5th row동경사우나
ValueCountFrequency (%)
의정부점 9
 
3.4%
학교법인 3
 
1.1%
을지학원 3
 
1.1%
의정부을지대학교병원 3
 
1.1%
롯데마트 3
 
1.1%
의정부사옥 2
 
0.8%
실내주차장 2
 
0.8%
요양원 2
 
0.8%
pc 2
 
0.8%
신여성병원 2
 
0.8%
Other values (223) 230
88.1%
2023-12-13T01:40:32.369267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 73
 
4.4%
62
 
3.7%
의 58
 
3.5%
이 51
 
3.1%
부 50
 
3.0%
정 48
 
2.9%
어 46
 
2.8%
집 37
 
2.2%
린 36
 
2.2%
병 35
 
2.1%
Other values (284) 1167
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1520
91.4%
Space Separator 62
 
3.7%
Uppercase Letter 29
 
1.7%
Decimal Number 20
 
1.2%
Open Punctuation 9
 
0.5%
Close Punctuation 9
 
0.5%
Other Symbol 4
 
0.2%
Lowercase Letter 4
 
0.2%
Dash Punctuation 3
 
0.2%
Letter Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 73
 
4.8%
의 58
 
3.8%
이 51
 
3.4%
부 50
 
3.3%
정 48
 
3.2%
어 46
 
3.0%
집 37
 
2.4%
린 36
 
2.4%
병 35
 
2.3%
양 32
 
2.1%
Other values (258) 1054
69.3%
Uppercase Letter
ValueCountFrequency (%)
P 8
27.6%
C 7
24.1%
V 3
 
10.3%
S 2
 
6.9%
G 2
 
6.9%
O 1
 
3.4%
E 1
 
3.4%
H 1
 
3.4%
T 1
 
3.4%
Y 1
 
3.4%
Other values (2) 2
 
6.9%
Decimal Number
ValueCountFrequency (%)
2 7
35.0%
1 6
30.0%
3 4
20.0%
4 3
15.0%
Lowercase Letter
ValueCountFrequency (%)
p 2
50.0%
c 2
50.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1524
91.6%
Common 104
 
6.3%
Latin 35
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 73
 
4.8%
의 58
 
3.8%
이 51
 
3.3%
부 50
 
3.3%
정 48
 
3.1%
어 46
 
3.0%
집 37
 
2.4%
린 36
 
2.4%
병 35
 
2.3%
양 32
 
2.1%
Other values (259) 1058
69.4%
Latin
ValueCountFrequency (%)
P 8
22.9%
C 7
20.0%
V 3
 
8.6%
S 2
 
5.7%
p 2
 
5.7%
c 2
 
5.7%
G 2
 
5.7%
O 1
 
2.9%
E 1
 
2.9%
H 1
 
2.9%
Other values (6) 6
17.1%
Common
ValueCountFrequency (%)
62
59.6%
( 9
 
8.7%
) 9
 
8.7%
2 7
 
6.7%
1 6
 
5.8%
3 4
 
3.8%
- 3
 
2.9%
4 3
 
2.9%
, 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1520
91.4%
ASCII 137
 
8.2%
None 4
 
0.2%
Number Forms 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 73
 
4.8%
의 58
 
3.8%
이 51
 
3.4%
부 50
 
3.3%
정 48
 
3.2%
어 46
 
3.0%
집 37
 
2.4%
린 36
 
2.4%
병 35
 
2.3%
양 32
 
2.1%
Other values (258) 1054
69.3%
ASCII
ValueCountFrequency (%)
62
45.3%
( 9
 
6.6%
) 9
 
6.6%
P 8
 
5.8%
C 7
 
5.1%
2 7
 
5.1%
1 6
 
4.4%
3 4
 
2.9%
- 3
 
2.2%
4 3
 
2.2%
Other values (13) 19
 
13.9%
None
ValueCountFrequency (%)
㈜ 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅱ 1
50.0%

소재지도로명주소
Text

Distinct183
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T01:40:32.690585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length19.758794
Min length13

Characters and Unicode

Total characters3932
Distinct characters132
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

Unique172 ?
Unique (%)86.4%

Sample

1st row경기도 의정부시 시민로80, 지하 1층 B101호
2nd row경기도 의정부시 신촌로29번길 24
3rd row경기도 의정부시 장곡로620
4th row경기도 의정부시 평화로252
5th row경기도 의정부시 청사로47번길 18
ValueCountFrequency (%)
경기도 200
26.7%
의정부시 199
26.5%
오목로225번길 8
 
1.1%
오목로205번길 5
 
0.7%
용민로226 5
 
0.7%
시민로80 4
 
0.5%
평화로525 4
 
0.5%
100 4
 
0.5%
천보로68 3
 
0.4%
지하1층 3
 
0.4%
Other values (250) 315
42.0%
2023-12-13T01:40:33.185491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
686
17.4%
시 218
 
5.5%
부 211
 
5.4%
의 209
 
5.3%
정 207
 
5.3%
경 201
 
5.1%
기 200
 
5.1%
도 200
 
5.1%
로 198
 
5.0%
1 172
 
4.4%
Other values (122) 1430
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2336
59.4%
Decimal Number 808
 
20.5%
Space Separator 686
 
17.4%
Other Punctuation 49
 
1.2%
Dash Punctuation 28
 
0.7%
Uppercase Letter 14
 
0.4%
Math Symbol 11
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 218
 
9.3%
부 211
 
9.0%
의 209
 
8.9%
정 207
 
8.9%
경 201
 
8.6%
기 200
 
8.6%
도 200
 
8.6%
로 198
 
8.5%
번 73
 
3.1%
길 72
 
3.1%
Other values (99) 547
23.4%
Decimal Number
ValueCountFrequency (%)
1 172
21.3%
2 132
16.3%
5 95
11.8%
6 72
8.9%
4 68
 
8.4%
0 67
 
8.3%
9 54
 
6.7%
8 52
 
6.4%
3 48
 
5.9%
7 48
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
B 5
35.7%
A 2
 
14.3%
O 1
 
7.1%
C 1
 
7.1%
Y 1
 
7.1%
T 1
 
7.1%
E 1
 
7.1%
W 1
 
7.1%
R 1
 
7.1%
Space Separator
ValueCountFrequency (%)
686
100.0%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2336
59.4%
Common 1582
40.2%
Latin 14
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 218
 
9.3%
부 211
 
9.0%
의 209
 
8.9%
정 207
 
8.9%
경 201
 
8.6%
기 200
 
8.6%
도 200
 
8.6%
로 198
 
8.5%
번 73
 
3.1%
길 72
 
3.1%
Other values (99) 547
23.4%
Common
ValueCountFrequency (%)
686
43.4%
1 172
 
10.9%
2 132
 
8.3%
5 95
 
6.0%
6 72
 
4.6%
4 68
 
4.3%
0 67
 
4.2%
9 54
 
3.4%
8 52
 
3.3%
, 49
 
3.1%
Other values (4) 135
 
8.5%
Latin
ValueCountFrequency (%)
B 5
35.7%
A 2
 
14.3%
O 1
 
7.1%
C 1
 
7.1%
Y 1
 
7.1%
T 1
 
7.1%
E 1
 
7.1%
W 1
 
7.1%
R 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2336
59.4%
ASCII 1596
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
686
43.0%
1 172
 
10.8%
2 132
 
8.3%
5 95
 
6.0%
6 72
 
4.5%
4 68
 
4.3%
0 67
 
4.2%
9 54
 
3.4%
8 52
 
3.3%
, 49
 
3.1%
Other values (13) 149
 
9.3%
Hangul
ValueCountFrequency (%)
시 218
 
9.3%
부 211
 
9.0%
의 209
 
8.9%
정 207
 
8.9%
경 201
 
8.6%
기 200
 
8.6%
도 200
 
8.6%
로 198
 
8.5%
번 73
 
3.1%
길 72
 
3.1%
Other values (99) 547
23.4%

소재지지번주소
Text

Distinct159
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T01:40:33.580260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length17.733668
Min length16

Characters and Unicode

Total characters3529
Distinct characters38
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

Unique134 ?
Unique (%)67.3%

Sample

1st row경기도 의정부시 의정부동 494
2nd row경기도 의정부시 가능동 619
3rd row경기도 의정부시 신곡동 763-1
4th row경기도 의정부시 호원동 450
5th row경기도 의정부시 금오동 470-2
ValueCountFrequency (%)
경기도 199
25.0%
의정부시 199
25.0%
의정부동 51
 
6.4%
민락동 39
 
4.9%
금오동 26
 
3.3%
신곡동 20
 
2.5%
용현동 17
 
2.1%
호원동 15
 
1.9%
녹양동 10
 
1.3%
낙양동 9
 
1.1%
Other values (161) 211
26.5%
2023-12-13T01:40:34.138680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
597
16.9%
의 250
 
7.1%
정 250
 
7.1%
부 250
 
7.1%
경 199
 
5.6%
도 199
 
5.6%
시 199
 
5.6%
기 199
 
5.6%
동 199
 
5.6%
- 140
 
4.0%
Other values (28) 1047
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2041
57.8%
Decimal Number 751
 
21.3%
Space Separator 597
 
16.9%
Dash Punctuation 140
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 250
12.2%
정 250
12.2%
부 250
12.2%
경 199
9.8%
도 199
9.8%
시 199
9.8%
기 199
9.8%
동 199
9.8%
민 39
 
1.9%
락 39
 
1.9%
Other values (16) 218
10.7%
Decimal Number
ValueCountFrequency (%)
1 127
16.9%
4 97
12.9%
3 86
11.5%
2 77
10.3%
5 76
10.1%
8 69
9.2%
7 66
8.8%
9 55
7.3%
6 52
6.9%
0 46
 
6.1%
Space Separator
ValueCountFrequency (%)
597
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2041
57.8%
Common 1488
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 250
12.2%
정 250
12.2%
부 250
12.2%
경 199
9.8%
도 199
9.8%
시 199
9.8%
기 199
9.8%
동 199
9.8%
민 39
 
1.9%
락 39
 
1.9%
Other values (16) 218
10.7%
Common
ValueCountFrequency (%)
597
40.1%
- 140
 
9.4%
1 127
 
8.5%
4 97
 
6.5%
3 86
 
5.8%
2 77
 
5.2%
5 76
 
5.1%
8 69
 
4.6%
7 66
 
4.4%
9 55
 
3.7%
Other values (2) 98
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2041
57.8%
ASCII 1488
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
597
40.1%
- 140
 
9.4%
1 127
 
8.5%
4 97
 
6.5%
3 86
 
5.8%
2 77
 
5.2%
5 76
 
5.1%
8 69
 
4.6%
7 66
 
4.4%
9 55
 
3.7%
Other values (2) 98
 
6.6%
Hangul
ValueCountFrequency (%)
의 250
12.2%
정 250
12.2%
부 250
12.2%
경 199
9.8%
도 199
9.8%
시 199
9.8%
기 199
9.8%
동 199
9.8%
민 39
 
1.9%
락 39
 
1.9%
Other values (16) 218
10.7%

전화번호
Text

MISSING 

Distinct178
Distinct (%)96.7%
Missing15
Missing (%)7.5%
Memory size1.7 KiB
2023-12-13T01:40:34.429957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.048913
Min length12

Characters and Unicode

Total characters2217
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

Unique174 ?
Unique (%)94.6%

Sample

1st row031-870-1888
2nd row031-875-2429
3rd row031-851-1600
4th row031-874-3904
5th row031-853-6688
ValueCountFrequency (%)
031-828-6842 4
 
2.2%
02-3404-3404 2
 
1.1%
031-951-3099 2
 
1.1%
031-894-0357 2
 
1.1%
031-8030-5254 1
 
0.5%
031-841-7900 1
 
0.5%
031-844-9890 1
 
0.5%
031-877-6081 1
 
0.5%
031-875-7878 1
 
0.5%
031-830-8712 1
 
0.5%
Other values (168) 168
91.3%
2023-12-13T01:40:34.927265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 368
16.6%
0 366
16.5%
1 284
12.8%
3 274
12.4%
8 272
12.3%
2 138
 
6.2%
4 133
 
6.0%
5 121
 
5.5%
7 107
 
4.8%
9 86
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1849
83.4%
Dash Punctuation 368
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 366
19.8%
1 284
15.4%
3 274
14.8%
8 272
14.7%
2 138
 
7.5%
4 133
 
7.2%
5 121
 
6.5%
7 107
 
5.8%
9 86
 
4.7%
6 68
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 368
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2217
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 368
16.6%
0 366
16.5%
1 284
12.8%
3 274
12.4%
8 272
12.3%
2 138
 
6.2%
4 133
 
6.0%
5 121
 
5.5%
7 107
 
4.8%
9 86
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2217
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 368
16.6%
0 366
16.5%
1 284
12.8%
3 274
12.4%
8 272
12.3%
2 138
 
6.2%
4 133
 
6.0%
5 121
 
5.5%
7 107
 
4.8%
9 86
 
3.9%

연면적(제곱미터)
Real number (ℝ)

Distinct194
Distinct (%)98.0%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean6708.0606
Minimum304
Maximum174717
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:40:35.122067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum304
5-th percentile514
Q11101.75
median2367
Q34161.5
95-th percentile32026
Maximum174717
Range174413
Interquartile range (IQR)3059.75

Descriptive statistics

Standard deviation18573.968
Coefficient of variation (CV)2.7689029
Kurtosis52.034384
Mean6708.0606
Median Absolute Deviation (MAD)1312.5
Skewness6.6738
Sum1328196
Variance3.449923 × 108
MonotonicityNot monotonic
2023-12-13T01:40:35.302166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2327 4
 
2.0%
3404 2
 
1.0%
2019 1
 
0.5%
5309 1
 
0.5%
1027 1
 
0.5%
592 1
 
0.5%
1454 1
 
0.5%
683 1
 
0.5%
470 1
 
0.5%
724 1
 
0.5%
Other values (184) 184
92.5%
ValueCountFrequency (%)
304 1
0.5%
319 1
0.5%
341 1
0.5%
342 1
0.5%
346 1
0.5%
365 1
0.5%
368 1
0.5%
470 1
0.5%
472 1
0.5%
497 1
0.5%
ValueCountFrequency (%)
174717 1
0.5%
150260 1
0.5%
65118 1
0.5%
59566 1
0.5%
56807 1
0.5%
41701 1
0.5%
38603 1
0.5%
37500 1
0.5%
33967 1
0.5%
33267 1
0.5%

위도
Real number (ℝ)

Distinct167
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.741662
Minimum37.705847
Maximum37.762408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:40:35.480282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.705847
5-th percentile37.714438
Q137.737319
median37.744061
Q337.748547
95-th percentile37.757421
Maximum37.762408
Range0.056561
Interquartile range (IQR)0.0112285

Descriptive statistics

Standard deviation0.0112849
Coefficient of variation (CV)0.0002990038
Kurtosis1.2474782
Mean37.741662
Median Absolute Deviation (MAD)0.00608524
Skewness-1.0007144
Sum7510.5907
Variance0.00012734898
MonotonicityNot monotonic
2023-12-13T01:40:35.663717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.7480121 5
 
2.5%
37.737976 3
 
1.5%
37.739351 3
 
1.5%
37.75163 3
 
1.5%
37.73799 3
 
1.5%
37.74545315 3
 
1.5%
37.714272 3
 
1.5%
37.751297 2
 
1.0%
37.744316 2
 
1.0%
37.730952 2
 
1.0%
Other values (157) 170
85.4%
ValueCountFrequency (%)
37.705847 1
 
0.5%
37.7059883 1
 
0.5%
37.707028 2
1.0%
37.712211 1
 
0.5%
37.712365 1
 
0.5%
37.71377 1
 
0.5%
37.714272 3
1.5%
37.714457 1
 
0.5%
37.720762 1
 
0.5%
37.722294 1
 
0.5%
ValueCountFrequency (%)
37.762408 1
0.5%
37.760972 1
0.5%
37.760778 1
0.5%
37.759488 1
0.5%
37.759071 1
0.5%
37.75902 1
0.5%
37.758743 1
0.5%
37.758151 1
0.5%
37.75764616 1
0.5%
37.757421 2
1.0%

경도
Real number (ℝ)

Distinct168
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.06586
Minimum127.01941
Maximum127.11809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:40:35.821369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.01941
5-th percentile127.03387
Q1127.04588
median127.06396
Q3127.08966
95-th percentile127.09934
Maximum127.11809
Range0.0986723
Interquartile range (IQR)0.04378

Descriptive statistics

Standard deviation0.023663078
Coefficient of variation (CV)0.00018622686
Kurtosis-1.2352685
Mean127.06586
Median Absolute Deviation (MAD)0.019863
Skewness0.15148242
Sum25286.107
Variance0.00055994124
MonotonicityNot monotonic
2023-12-13T01:40:35.961684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0957007 5
 
2.5%
127.044097 3
 
1.5%
127.073069 3
 
1.5%
127.047759 3
 
1.5%
127.05092 3
 
1.5%
127.045878 3
 
1.5%
127.094117 3
 
1.5%
127.053239 2
 
1.0%
127.022228 2
 
1.0%
127.0958168 2
 
1.0%
Other values (158) 170
85.4%
ValueCountFrequency (%)
127.0194137 1
0.5%
127.021625 1
0.5%
127.022228 2
1.0%
127.027191 1
0.5%
127.027926 1
0.5%
127.032047 1
0.5%
127.032592 1
0.5%
127.033293 1
0.5%
127.03384 1
0.5%
127.03387 1
0.5%
ValueCountFrequency (%)
127.118086 1
0.5%
127.1137733 1
0.5%
127.108432 1
0.5%
127.107221 1
0.5%
127.106129 1
0.5%
127.1023641 1
0.5%
127.102363 1
0.5%
127.101022 1
0.5%
127.10059 1
0.5%
127.0997219 1
0.5%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-01-01
199 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-01
2nd row2023-01-01
3rd row2023-01-01
4th row2023-01-01
5th row2023-01-01

Common Values

ValueCountFrequency (%)
2023-01-01 199
100.0%

Length

2023-12-13T01:40:36.083577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:40:36.176533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-01 199
100.0%

Interactions

2023-12-13T01:40:30.320572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:40:29.275518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:40:29.638330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:40:30.002975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:40:30.417435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:40:29.363536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:40:29.729465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:40:30.082284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:40:30.507336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:40:29.450882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:40:29.819144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:40:30.168405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:40:30.583116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:40:29.540358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:40:29.906947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:40:30.241397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:40:36.236868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호시설구분연면적(제곱미터)위도경도
번호1.0000.9370.1760.2970.284
시설구분0.9371.0000.5930.0840.209
연면적(제곱미터)0.1760.5931.0000.0000.000
위도0.2970.0840.0001.0000.758
경도0.2840.2090.0000.7581.000
2023-12-13T01:40:36.675322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호연면적(제곱미터)위도경도시설구분
번호1.000-0.2660.0020.0100.692
연면적(제곱미터)-0.2661.000-0.0120.0750.318
위도0.002-0.0121.0000.1380.024
경도0.0100.0750.1381.0000.076
시설구분0.6920.3180.0240.0761.000

Missing values

2023-12-13T01:40:30.766112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:40:30.940633image/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.
2023-12-13T01:40:31.047460image/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

번호시군명시설구분시설명소재지도로명주소소재지지번주소전화번호연면적(제곱미터)위도경도데이터기준일
01의정부시목욕장24시신세계불가마사우나경기도 의정부시 시민로80, 지하 1층 B101호경기도 의정부시 의정부동 494031-870-1888201937.737976127.0440972023-01-01
12의정부시목욕장가능사우나경기도 의정부시 신촌로29번길 24경기도 의정부시 가능동 619031-875-2429148537.75145127.0379782023-01-01
23의정부시목욕장금오아쿠아월드사우나경기도 의정부시 장곡로620경기도 의정부시 신곡동 763-1031-851-1600248237.75036127.0716722023-01-01
34의정부시목욕장도봉산불가마사우나경기도 의정부시 평화로252경기도 의정부시 호원동 450031-874-3904354837.714272127.0477592023-01-01
45의정부시목욕장동경사우나경기도 의정부시 청사로47번길 18경기도 의정부시 금오동 470-2031-853-6688252537.752525127.068662023-01-01
56의정부시목욕장미즘아쿠아랜드경기도 의정부시 태평로76경기도 의정부시 의정부동 125-5031-848-4900396037.73931127.0520342023-01-01
67의정부시목욕장석천불한증막사우나경기도 의정부시 의정로40번길 21경기도 의정부시 의정부동 523-8031-871-8416244237.736597127.0363212023-01-01
78의정부시목욕장세심청사우나경기도 의정부시 평화로244번길 25경기도 의정부시 호원동 450-2031-844-4545120037.71377127.0480152023-01-01
89의정부시목욕장아남24시사우나경기도 의정부시 호국로1385경기도 의정부시 금오동 374-1031-843-3334107537.747318127.05632023-01-01
910의정부시목욕장아일랜드캐슬 찜질방경기도 의정부시 장곡로22, 아일랜드캐슬 A동 B1~B2층경기도 의정부시 장암동 135031-894-0357340437.707028127.0532952023-01-01
번호시군명시설구분시설명소재지도로명주소소재지지번주소전화번호연면적(제곱미터)위도경도데이터기준일
189190의정부시PC영업시설파브PC방경기도 의정부시 청사로47번길 7-28경기도 의정부시 금오동 472-4<NA>36537.752164127.0710012023-01-01
190191의정부시영화상영관CGV의정부(신세계)경기도 의정부시 평화로525 10층경기도 의정부시 의정부동 168-54031-8082-0930630837.744061127.0991762023-01-01
191192의정부시영화상영관CGV의정부(태흥)경기도 의정부시 시민로80경기도 의정부시 의정부동 494031-870-2001360037.737976127.0440972023-01-01
192193의정부시영화상영관롯데시네마경기도 의정부시 천보로44 해동본타워 8층경기도 의정부시 민락동 804-6<NA>251937.744316127.0963242023-01-01
193194의정부시영화상영관메가박스 민락점경기도 의정부시 오목로205번길 55, 5~8층경기도 의정부시 민락동 813-3070-4880-2066423237.745764127.0959322023-01-01
194195의정부시철도역사 대합실의정부역경기도 의정부시 평화로525경기도 의정부시 의정부동 168-54031-872-7788272237.73799127.0458782023-01-01
195196의정부시실내어린이놀이시설스카즈카경기도 의정부시 천보로68, 월드타워2타워 401호경기도 의정부시 민락동 805031-851-232256237.740541127.0476852023-01-01
196197의정부시실내어린이놀이시설아이사랑놀이터경기도 의정부시 오목로225번길 100경기도 의정부시 민락동 815-1031-928-589251937.745453127.0941172023-01-01
197198의정부시실내어린이놀이시설챔피언 홈플러스 의정부점경기도 의정부시 청사로38경기도 의정부시 금오동 475-1031-853-097870637.752164127.0710012023-01-01
198199의정부시실내어린이놀이시설히어로 키즈파크 의정부점경기도 의정부시 오목로196, 105동 2층 38호경기도 의정부시 민락동 803031-823-1161103437.744061127.0991762023-01-01