Overview

Dataset statistics

Number of variables7
Number of observations95
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory58.4 B

Variable types

Categorical2
Text3
Numeric1
DateTime1

Dataset

Description어린이집, 영화관,학원 도서관 등 경기도 구리시 지역 내에 위치한 실내공기질 관리법 적용대상 다중이용시설 현황(시설구분, 시설명, 소재지도로명주소, 전화번호 등)을 제공합니다.
Author경기도 구리시
URLhttps://www.data.go.kr/data/15051006/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연면적 has unique valuesUnique

Reproduction

Analysis started2024-04-29 22:31:46.078734
Analysis finished2024-04-29 22:31:49.010212
Duration2.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
구리시
95 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구리시 95
100.0%

Length

2024-04-30T07:31:49.078172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:31:49.183176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구리시 95
100.0%

시설구분
Categorical

Distinct13
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size892.0 B
실내주차장
43 
의료기관
14 
어린이집
인터넷컴퓨터게임시설제공업
복합유통게임제공업
Other values (8)
19 

Length

Max length13
Median length5
Mean length5.3052632
Min length2

Unique

Unique2 ?
Unique (%)2.1%

Sample

1st row학원
2nd row도서관
3rd row도서관
4th row어린이집
5th row어린이집

Common Values

ValueCountFrequency (%)
실내주차장 43
45.3%
의료기관 14
 
14.7%
어린이집 9
 
9.5%
인터넷컴퓨터게임시설제공업 5
 
5.3%
복합유통게임제공업 5
 
5.3%
대규모점포 5
 
5.3%
영화상영관 3
 
3.2%
노인요양시설 3
 
3.2%
도서관 2
 
2.1%
산후조리원 2
 
2.1%
Other values (3) 4
 
4.2%

Length

2024-04-30T07:31:49.276867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
실내주차장 43
45.3%
의료기관 14
 
14.7%
어린이집 9
 
9.5%
인터넷컴퓨터게임시설제공업 5
 
5.3%
복합유통게임제공업 5
 
5.3%
대규모점포 5
 
5.3%
영화상영관 3
 
3.2%
노인요양시설 3
 
3.2%
도서관 2
 
2.1%
산후조리원 2
 
2.1%
Other values (3) 4
 
4.2%
Distinct90
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-04-30T07:31:49.501930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length10.294737
Min length3

Characters and Unicode

Total characters978
Distinct characters246
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)89.5%

Sample

1st row씨엔씨학원
2nd row(구리시)인창도서관
3rd row(구리시)토평도서관
4th row시립갈매어린이집
5th row명성어린이집
ValueCountFrequency (%)
별내역 7
 
4.6%
노외주차장 4
 
2.6%
구리갈매 4
 
2.6%
다인로얄펠리스 3
 
2.0%
모다아울렛 2
 
1.3%
cgv 2
 
1.3%
스칸센 2
 
1.3%
갈매역 2
 
1.3%
현대클러스터 2
 
1.3%
지웰에스테이트 2
 
1.3%
Other values (112) 123
80.4%
2024-04-30T07:31:49.881910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59
 
6.0%
42
 
4.3%
40
 
4.1%
26
 
2.7%
) 23
 
2.4%
( 23
 
2.4%
22
 
2.2%
20
 
2.0%
19
 
1.9%
18
 
1.8%
Other values (236) 686
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 778
79.6%
Space Separator 59
 
6.0%
Uppercase Letter 58
 
5.9%
Close Punctuation 23
 
2.4%
Open Punctuation 23
 
2.4%
Decimal Number 17
 
1.7%
Other Punctuation 11
 
1.1%
Lowercase Letter 5
 
0.5%
Other Symbol 3
 
0.3%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
42
 
5.4%
40
 
5.1%
26
 
3.3%
22
 
2.8%
20
 
2.6%
19
 
2.4%
18
 
2.3%
13
 
1.7%
11
 
1.4%
11
 
1.4%
Other values (197) 556
71.5%
Uppercase Letter
ValueCountFrequency (%)
C 14
24.1%
P 10
17.2%
A 5
 
8.6%
G 4
 
6.9%
T 3
 
5.2%
I 3
 
5.2%
B 2
 
3.4%
M 2
 
3.4%
V 2
 
3.4%
E 2
 
3.4%
Other values (10) 11
19.0%
Decimal Number
ValueCountFrequency (%)
1 5
29.4%
2 5
29.4%
3 4
23.5%
0 1
 
5.9%
8 1
 
5.9%
9 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 8
72.7%
% 1
 
9.1%
& 1
 
9.1%
? 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
c 2
40.0%
p 1
20.0%
a 1
20.0%
f 1
20.0%
Space Separator
ValueCountFrequency (%)
59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 781
79.9%
Common 133
 
13.6%
Latin 64
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
42
 
5.4%
40
 
5.1%
26
 
3.3%
22
 
2.8%
20
 
2.6%
19
 
2.4%
18
 
2.3%
13
 
1.7%
11
 
1.4%
11
 
1.4%
Other values (198) 559
71.6%
Latin
ValueCountFrequency (%)
C 14
21.9%
P 10
15.6%
A 5
 
7.8%
G 4
 
6.2%
T 3
 
4.7%
I 3
 
4.7%
B 2
 
3.1%
M 2
 
3.1%
V 2
 
3.1%
E 2
 
3.1%
Other values (15) 17
26.6%
Common
ValueCountFrequency (%)
59
44.4%
) 23
 
17.3%
( 23
 
17.3%
. 8
 
6.0%
1 5
 
3.8%
2 5
 
3.8%
3 4
 
3.0%
0 1
 
0.8%
% 1
 
0.8%
8 1
 
0.8%
Other values (3) 3
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 778
79.6%
ASCII 196
 
20.0%
None 3
 
0.3%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59
30.1%
) 23
 
11.7%
( 23
 
11.7%
C 14
 
7.1%
P 10
 
5.1%
. 8
 
4.1%
1 5
 
2.6%
2 5
 
2.6%
A 5
 
2.6%
3 4
 
2.0%
Other values (27) 40
20.4%
Hangul
ValueCountFrequency (%)
42
 
5.4%
40
 
5.1%
26
 
3.3%
22
 
2.8%
20
 
2.6%
19
 
2.4%
18
 
2.3%
13
 
1.7%
11
 
1.4%
11
 
1.4%
Other values (197) 556
71.5%
None
ValueCountFrequency (%)
3
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
Distinct87
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-04-30T07:31:50.172704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length25.368421
Min length20

Characters and Unicode

Total characters2410
Distinct characters103
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

Unique80 ?
Unique (%)84.2%

Sample

1st row경기도 구리시 체육관로80번길 9, 씨엔씨빌딩 4~8층 (수택동)
2nd row경기도 구리시 건원대로34번길 90 (인창동)
3rd row경기도 구리시 장자대로 140 (토평동)
4th row경기도 구리시 갈매중앙로 80 (갈매동)
5th row경기도 구리시 검배로72번길 11-5 (수택동)
ValueCountFrequency (%)
경기도 95
18.6%
구리시 95
18.6%
인창동 30
 
5.9%
갈매동 24
 
4.7%
수택동 19
 
3.7%
경춘로 15
 
2.9%
교문동 13
 
2.5%
갈매중앙로 9
 
1.8%
건원대로 7
 
1.4%
토평동 7
 
1.4%
Other values (143) 197
38.6%
2024-04-30T07:31:50.609660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
417
 
17.3%
117
 
4.9%
114
 
4.7%
111
 
4.6%
96
 
4.0%
( 95
 
3.9%
95
 
3.9%
95
 
3.9%
95
 
3.9%
) 95
 
3.9%
Other values (93) 1080
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1389
57.6%
Space Separator 417
 
17.3%
Decimal Number 359
 
14.9%
Open Punctuation 95
 
3.9%
Close Punctuation 95
 
3.9%
Other Punctuation 31
 
1.3%
Dash Punctuation 11
 
0.5%
Math Symbol 8
 
0.3%
Uppercase Letter 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
117
 
8.4%
114
 
8.2%
111
 
8.0%
96
 
6.9%
95
 
6.8%
95
 
6.8%
95
 
6.8%
93
 
6.7%
43
 
3.1%
43
 
3.1%
Other values (74) 487
35.1%
Decimal Number
ValueCountFrequency (%)
1 69
19.2%
2 41
11.4%
6 39
10.9%
3 39
10.9%
4 38
10.6%
5 35
9.7%
8 26
 
7.2%
9 25
 
7.0%
0 24
 
6.7%
7 23
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
D 1
 
20.0%
A 1
 
20.0%
Space Separator
ValueCountFrequency (%)
417
100.0%
Open Punctuation
ValueCountFrequency (%)
( 95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 95
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1389
57.6%
Common 1016
42.2%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
117
 
8.4%
114
 
8.2%
111
 
8.0%
96
 
6.9%
95
 
6.8%
95
 
6.8%
95
 
6.8%
93
 
6.7%
43
 
3.1%
43
 
3.1%
Other values (74) 487
35.1%
Common
ValueCountFrequency (%)
417
41.0%
( 95
 
9.4%
) 95
 
9.4%
1 69
 
6.8%
2 41
 
4.0%
6 39
 
3.8%
3 39
 
3.8%
4 38
 
3.7%
5 35
 
3.4%
, 31
 
3.1%
Other values (6) 117
 
11.5%
Latin
ValueCountFrequency (%)
B 3
60.0%
D 1
 
20.0%
A 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1389
57.6%
ASCII 1021
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
417
40.8%
( 95
 
9.3%
) 95
 
9.3%
1 69
 
6.8%
2 41
 
4.0%
6 39
 
3.8%
3 39
 
3.8%
4 38
 
3.7%
5 35
 
3.4%
, 31
 
3.0%
Other values (9) 122
 
11.9%
Hangul
ValueCountFrequency (%)
117
 
8.4%
114
 
8.2%
111
 
8.0%
96
 
6.9%
95
 
6.8%
95
 
6.8%
95
 
6.8%
93
 
6.7%
43
 
3.1%
43
 
3.1%
Other values (74) 487
35.1%
Distinct67
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-04-30T07:31:50.830941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length12.221053
Min length9

Characters and Unicode

Total characters1161
Distinct characters16
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)60.0%

Sample

1st row031-566-6646
2nd row031-550-8683
3rd row031-550-8701
4th row031-571-0880
5th row031-567-2285
ValueCountFrequency (%)
000-0000-0000 16
 
16.7%
031-550-3769 4
 
4.2%
031-571-8820 3
 
3.1%
031-554-1114 3
 
3.1%
031-529-5343 2
 
2.1%
031-514-9000 2
 
2.1%
031-512-6200 2
 
2.1%
031-550-8064 2
 
2.1%
031-8034-2045 2
 
2.1%
02-2055-0000 2
 
2.1%
Other values (58) 58
60.4%
2024-04-30T07:31:51.149834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 348
30.0%
- 188
16.2%
5 128
 
11.0%
1 122
 
10.5%
3 112
 
9.6%
4 56
 
4.8%
6 55
 
4.7%
2 50
 
4.3%
7 35
 
3.0%
9 31
 
2.7%
Other values (6) 36
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 967
83.3%
Dash Punctuation 188
 
16.2%
Space Separator 2
 
0.2%
Other Letter 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 348
36.0%
5 128
 
13.2%
1 122
 
12.6%
3 112
 
11.6%
4 56
 
5.8%
6 55
 
5.7%
2 50
 
5.2%
7 35
 
3.6%
9 31
 
3.2%
8 30
 
3.1%
Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 188
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1159
99.8%
Hangul 2
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 348
30.0%
- 188
16.2%
5 128
 
11.0%
1 122
 
10.5%
3 112
 
9.7%
4 56
 
4.8%
6 55
 
4.7%
2 50
 
4.3%
7 35
 
3.0%
9 31
 
2.7%
Other values (4) 34
 
2.9%
Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1159
99.8%
Hangul 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 348
30.0%
- 188
16.2%
5 128
 
11.0%
1 122
 
10.5%
3 112
 
9.7%
4 56
 
4.8%
6 55
 
4.7%
2 50
 
4.3%
7 35
 
3.0%
9 31
 
2.7%
Other values (4) 34
 
2.9%
Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

연면적
Real number (ℝ)

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10215.747
Minimum324.86
Maximum79270
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-04-30T07:31:51.284850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324.86
5-th percentile385.943
Q11226.195
median3963
Q312702.97
95-th percentile40469.872
Maximum79270
Range78945.14
Interquartile range (IQR)11476.775

Descriptive statistics

Standard deviation15456.094
Coefficient of variation (CV)1.5129676
Kurtosis6.5162289
Mean10215.747
Median Absolute Deviation (MAD)3303
Skewness2.507124
Sum970495.97
Variance2.3889084 × 108
MonotonicityNot monotonic
2024-04-30T07:31:51.444168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1268.39 1
 
1.1%
7868.0 1
 
1.1%
79270.0 1
 
1.1%
22721.0 1
 
1.1%
55875.57 1
 
1.1%
3566.67 1
 
1.1%
37081.87 1
 
1.1%
3083.6026 1
 
1.1%
5256.072 1
 
1.1%
2350.8794 1
 
1.1%
Other values (85) 85
89.5%
ValueCountFrequency (%)
324.86 1
1.1%
332.77 1
1.1%
352.96 1
1.1%
364.0 1
1.1%
374.12 1
1.1%
391.01 1
1.1%
431.74 1
1.1%
441.0 1
1.1%
458.65 1
1.1%
462.0 1
1.1%
ValueCountFrequency (%)
79270.0 1
1.1%
66777.432 1
1.1%
61280.6591 1
1.1%
55875.57 1
1.1%
42616.24 1
1.1%
39550.0 1
1.1%
38445.8388 1
1.1%
37081.87 1
1.1%
34854.0 1
1.1%
33025.25 1
1.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
Minimum2024-04-01 00:00:00
Maximum2024-04-01 00:00:00
2024-04-30T07:31:51.555795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:31:51.637646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-30T07:31:48.495770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T07:31:51.702826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분시설명소재지도로명주소전화번호연면적
시설구분1.0000.9290.4920.9220.000
시설명0.9291.0001.0000.9990.000
소재지도로명주소0.4921.0001.0000.9910.000
전화번호0.9220.9990.9911.0000.000
연면적0.0000.0000.0000.0001.000
2024-04-30T07:31:51.789428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적시설구분
연면적1.0000.000
시설구분0.0001.000

Missing values

2024-04-30T07:31:48.752971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:31:48.910834image/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.

Sample

시군명시설구분시설명소재지도로명주소전화번호연면적데이터기준일자
0구리시학원씨엔씨학원경기도 구리시 체육관로80번길 9, 씨엔씨빌딩 4~8층 (수택동)031-566-66461268.392024-04-01
1구리시도서관(구리시)인창도서관경기도 구리시 건원대로34번길 90 (인창동)031-550-86837868.02024-04-01
2구리시도서관(구리시)토평도서관경기도 구리시 장자대로 140 (토평동)031-550-87016387.02024-04-01
3구리시어린이집시립갈매어린이집경기도 구리시 갈매중앙로 80 (갈매동)031-571-0880485.02024-04-01
4구리시어린이집명성어린이집경기도 구리시 검배로72번길 11-5 (수택동)031-567-2285953.02024-04-01
5구리시어린이집시립동구어린이집경기도 구리시 동구릉로 217-16 (인창동)031-557-8698630.02024-04-01
6구리시어린이집하얀어린이집경기도 구리시 벌말로129번길 86 (토평동)031-551-3333758.02024-04-01
7구리시어린이집조아어린이집경기도 구리시 건원대로99번길 132 (인창동)031-564-1004660.02024-04-01
8구리시어린이집시립토평마을어린이집경기도 구리시 벌말로129번길 50 (토평동)031-551-7942515.02024-04-01
9구리시어린이집시립인창어린이집경기도 구리시 인창2로43번길 50 (인창동)031-558-6438594.672024-04-01
시군명시설구분시설명소재지도로명주소전화번호연면적데이터기준일자
85구리시의료기관투재암요양병원경기도 구리시 아차산로 493, D동 (교문동, 중앙하이츠티움)031-528-88993962.452024-04-01
86구리시의료기관한양대학교구리병원경기도 구리시 경춘로 153 (교문동)031-560-286942616.242024-04-01
87구리시의료기관재단법인원진녹색병원경기도 구리시 동구릉로 65 (인창동)031-550-10046513.512024-04-01
88구리시의료기관리체한방병원경기도 구리시 경춘로162번길 26 (교문동)1661-11104266.182024-04-01
89구리시의료기관율치한방병원경기도 구리시 체육관로 163 (교문동)1577-73672321.932024-04-01
90구리시장례식장원진녹색병원장례식장경기도 구리시 동구릉로 65 (인창동)031-564-49491184.02024-04-01
91구리시장례식장윤서병원장례식장경기도 구리시 건원대로99번길 123 (인창동)031-564-44441143.02024-04-01
92구리시노인요양시설구리시립노인전문요양원경기도 구리시 동구릉로459번길 211 (갈매동)031-575-90062050.742024-04-01
93구리시노인요양시설구리효심노인요양원경기도 구리시 체육관로 171번길 42 (교문동)031-564-25001164.02024-04-01
94구리시노인요양시설효사랑요양원경기도 구리시 동구릉로460번길 8 (사노동)031-558-30001809.52024-04-01