Overview

Dataset statistics

Number of variables7
Number of observations86
Missing cells23
Missing cells (%)3.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory59.5 B

Variable types

Categorical2
Text2
Numeric2
DateTime1

Dataset

Description어린이집, 영화관, 학원 등, 경기도 구리시 지역내에 위치한 다중이용시설에서 배출하는 환경오염 현황(자료시설구분, 시설명, 소재지 등)를 제공합니다.
URLhttps://www.data.go.kr/data/15051006/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
구분 is highly overall correlated with 관리기관명High correlation
관리기관명 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
위도 is highly overall correlated with 관리기관명High correlation
경도 is highly overall correlated with 관리기관명High correlation
소재지 has 1 (1.2%) missing valuesMissing
위도 has 11 (12.8%) missing valuesMissing
경도 has 11 (12.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 12:46:31.055556
Analysis finished2023-12-12 12:46:32.484808
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
실내주차장
32 
의료기관
15 
어린이집
10 
인터넷컴퓨터 게임시설제공업
대규모점포
Other values (7)
15 

Length

Max length14
Median length6
Mean length5.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실내주차장 32
37.2%
의료기관 15
17.4%
어린이집 10
 
11.6%
인터넷컴퓨터 게임시설제공업 9
 
10.5%
대규모점포 5
 
5.8%
노인요양시설 3
 
3.5%
학원 2
 
2.3%
도서관 2
 
2.3%
영화상영관 2
 
2.3%
목욕장 2
 
2.3%
Other values (2) 4
 
4.7%

Length

2023-12-12T21:46:32.565392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
실내주차장 32
33.7%
의료기관 15
15.8%
어린이집 10
 
10.5%
인터넷컴퓨터 9
 
9.5%
게임시설제공업 9
 
9.5%
대규모점포 5
 
5.3%
노인요양시설 3
 
3.2%
학원 2
 
2.1%
도서관 2
 
2.1%
영화상영관 2
 
2.1%
Other values (3) 6
 
6.3%
Distinct81
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-12T21:46:32.828956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length9.255814
Min length3

Characters and Unicode

Total characters796
Distinct characters217
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)88.4%

Sample

1st row구리구주이배수학학원
2nd row씨엔씨학원
3rd row(구리시)인창도서관
4th row(구리시)토평도서관
5th row명성어린이집
ValueCountFrequency (%)
별내역 5
 
4.0%
pc 4
 
3.2%
구리점 4
 
3.2%
노외주차장 4
 
3.2%
다인로얄펠리스 3
 
2.4%
한양대학교구리병원 2
 
1.6%
모다아울렛 2
 
1.6%
3차 2
 
1.6%
메트로망 2
 
1.6%
오피스텔(복합용도 2
 
1.6%
Other values (92) 96
76.2%
2023-12-12T21:46:33.261162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
5.2%
40
 
5.0%
37
 
4.6%
27
 
3.4%
19
 
2.4%
18
 
2.3%
17
 
2.1%
) 15
 
1.9%
( 15
 
1.9%
12
 
1.5%
Other values (207) 555
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 656
82.4%
Uppercase Letter 51
 
6.4%
Space Separator 41
 
5.2%
Close Punctuation 15
 
1.9%
Open Punctuation 15
 
1.9%
Decimal Number 11
 
1.4%
Other Punctuation 4
 
0.5%
Other Symbol 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
40
 
6.1%
37
 
5.6%
27
 
4.1%
19
 
2.9%
18
 
2.7%
17
 
2.6%
12
 
1.8%
11
 
1.7%
11
 
1.7%
10
 
1.5%
Other values (176) 454
69.2%
Uppercase Letter
ValueCountFrequency (%)
C 12
23.5%
P 9
17.6%
A 4
 
7.8%
G 3
 
5.9%
I 3
 
5.9%
T 3
 
5.9%
N 2
 
3.9%
M 2
 
3.9%
E 2
 
3.9%
V 1
 
2.0%
Other values (10) 10
19.6%
Decimal Number
ValueCountFrequency (%)
1 3
27.3%
3 3
27.3%
2 3
27.3%
8 1
 
9.1%
9 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
% 1
 
25.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 659
82.8%
Common 86
 
10.8%
Latin 51
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
40
 
6.1%
37
 
5.6%
27
 
4.1%
19
 
2.9%
18
 
2.7%
17
 
2.6%
12
 
1.8%
11
 
1.7%
11
 
1.7%
10
 
1.5%
Other values (177) 457
69.3%
Latin
ValueCountFrequency (%)
C 12
23.5%
P 9
17.6%
A 4
 
7.8%
G 3
 
5.9%
I 3
 
5.9%
T 3
 
5.9%
N 2
 
3.9%
M 2
 
3.9%
E 2
 
3.9%
V 1
 
2.0%
Other values (10) 10
19.6%
Common
ValueCountFrequency (%)
41
47.7%
) 15
 
17.4%
( 15
 
17.4%
1 3
 
3.5%
. 3
 
3.5%
3 3
 
3.5%
2 3
 
3.5%
8 1
 
1.2%
% 1
 
1.2%
9 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 656
82.4%
ASCII 137
 
17.2%
None 3
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
29.9%
) 15
 
10.9%
( 15
 
10.9%
C 12
 
8.8%
P 9
 
6.6%
A 4
 
2.9%
1 3
 
2.2%
. 3
 
2.2%
3 3
 
2.2%
G 3
 
2.2%
Other values (20) 29
21.2%
Hangul
ValueCountFrequency (%)
40
 
6.1%
37
 
5.6%
27
 
4.1%
19
 
2.9%
18
 
2.7%
17
 
2.6%
12
 
1.8%
11
 
1.7%
11
 
1.7%
10
 
1.5%
Other values (176) 454
69.2%
None
ValueCountFrequency (%)
3
100.0%

소재지
Text

MISSING 

Distinct81
Distinct (%)95.3%
Missing1
Missing (%)1.2%
Memory size820.0 B
2023-12-12T21:46:33.531957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length30
Mean length22.164706
Min length10

Characters and Unicode

Total characters1884
Distinct characters100
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

Unique77 ?
Unique (%)90.6%

Sample

1st row경기도 구리시 건원대로99번길 132
2nd row경기도 구리시 벌말로129번길 50 (토평동)
3rd row경기도 구리시 인창2로43번길 50
4th row경기도 구리시 갈매순환로 28 1층 (갈매동)
5th row경기도 구리시 동구릉로 217-9 (인창동)
ValueCountFrequency (%)
구리시 79
19.3%
경기도 76
18.5%
인창동 27
 
6.6%
수택동 14
 
3.4%
경춘로 13
 
3.2%
갈매동 10
 
2.4%
교문동 9
 
2.2%
건원대로 7
 
1.7%
동구릉로136번길 6
 
1.5%
동구릉로 6
 
1.5%
Other values (123) 163
39.8%
2023-12-12T21:46:33.962788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
326
 
17.3%
97
 
5.1%
93
 
4.9%
88
 
4.7%
83
 
4.4%
80
 
4.2%
76
 
4.0%
76
 
4.0%
69
 
3.7%
1 62
 
3.3%
Other values (90) 834
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1077
57.2%
Space Separator 326
 
17.3%
Decimal Number 323
 
17.1%
Close Punctuation 54
 
2.9%
Open Punctuation 54
 
2.9%
Other Punctuation 30
 
1.6%
Dash Punctuation 12
 
0.6%
Math Symbol 6
 
0.3%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
97
 
9.0%
93
 
8.6%
88
 
8.2%
83
 
7.7%
80
 
7.4%
76
 
7.1%
76
 
7.1%
69
 
6.4%
32
 
3.0%
31
 
2.9%
Other values (72) 352
32.7%
Decimal Number
ValueCountFrequency (%)
1 62
19.2%
5 42
13.0%
3 39
12.1%
2 39
12.1%
4 35
10.8%
6 31
9.6%
9 26
8.0%
7 20
 
6.2%
8 15
 
4.6%
0 14
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
326
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1077
57.2%
Common 805
42.7%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
97
 
9.0%
93
 
8.6%
88
 
8.2%
83
 
7.7%
80
 
7.4%
76
 
7.1%
76
 
7.1%
69
 
6.4%
32
 
3.0%
31
 
2.9%
Other values (72) 352
32.7%
Common
ValueCountFrequency (%)
326
40.5%
1 62
 
7.7%
) 54
 
6.7%
( 54
 
6.7%
5 42
 
5.2%
3 39
 
4.8%
2 39
 
4.8%
4 35
 
4.3%
6 31
 
3.9%
, 30
 
3.7%
Other values (6) 93
 
11.6%
Latin
ValueCountFrequency (%)
D 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1077
57.2%
ASCII 807
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
326
40.4%
1 62
 
7.7%
) 54
 
6.7%
( 54
 
6.7%
5 42
 
5.2%
3 39
 
4.8%
2 39
 
4.8%
4 35
 
4.3%
6 31
 
3.8%
, 30
 
3.7%
Other values (8) 95
 
11.8%
Hangul
ValueCountFrequency (%)
97
 
9.0%
93
 
8.6%
88
 
8.2%
83
 
7.7%
80
 
7.4%
76
 
7.1%
76
 
7.1%
69
 
6.4%
32
 
3.0%
31
 
2.9%
Other values (72) 352
32.7%

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct70
Distinct (%)93.3%
Missing11
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean37.536028
Minimum33.490733
Maximum37.639909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-12T21:46:34.083962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.490733
5-th percentile37.510042
Q137.592869
median37.60045
Q337.608072
95-th percentile37.638498
Maximum37.639909
Range4.1491762
Interquartile range (IQR)0.015202635

Descriptive statistics

Standard deviation0.47821562
Coefficient of variation (CV)0.012740176
Kurtosis71.921861
Mean37.536028
Median Absolute Deviation (MAD)0.00771952
Skewness-8.4096748
Sum2815.2021
Variance0.22869018
MonotonicityNot monotonic
2023-12-12T21:46:34.194355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.60130498 3
 
3.5%
37.51004233 2
 
2.3%
37.61187676 2
 
2.3%
37.61270028 2
 
2.3%
37.60519255 1
 
1.2%
37.60597774 1
 
1.2%
37.59592262 1
 
1.2%
37.59134103 1
 
1.2%
37.60422877 1
 
1.2%
37.6323203 1
 
1.2%
Other values (60) 60
69.8%
(Missing) 11
 
12.8%
ValueCountFrequency (%)
33.49073303 1
1.2%
37.17462975 1
1.2%
37.24862602 1
1.2%
37.51004233 2
2.3%
37.53586467 1
1.2%
37.55877964 1
1.2%
37.58013577 1
1.2%
37.58211137 1
1.2%
37.58624265 1
1.2%
37.58911047 1
1.2%
ValueCountFrequency (%)
37.63990919 1
1.2%
37.63914365 1
1.2%
37.63883305 1
1.2%
37.63865559 1
1.2%
37.63843019 1
1.2%
37.6384253 1
1.2%
37.63814819 1
1.2%
37.63605457 1
1.2%
37.63328783 1
1.2%
37.6323203 1
1.2%

경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct70
Distinct (%)93.3%
Missing11
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean127.10785
Minimum126.45086
Maximum127.15561
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-12T21:46:34.299703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.45086
5-th percentile126.9544
Q1127.12792
median127.13804
Q3127.14158
95-th percentile127.1472
Maximum127.15561
Range0.7047503
Interquartile range (IQR)0.01365975

Descriptive statistics

Standard deviation0.11453227
Coefficient of variation (CV)0.0009010637
Kurtosis20.506585
Mean127.10785
Median Absolute Deviation (MAD)0.0056545
Skewness-4.4827311
Sum9533.0889
Variance0.013117641
MonotonicityNot monotonic
2023-12-12T21:46:34.416854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1323808 3
 
3.5%
126.6477075 2
 
2.3%
127.1405451 2
 
2.3%
127.1412806 2
 
2.3%
127.1395903 1
 
1.2%
127.1337752 1
 
1.2%
127.140814 1
 
1.2%
127.1416082 1
 
1.2%
127.1378218 1
 
1.2%
127.1154967 1
 
1.2%
Other values (60) 60
69.8%
(Missing) 11
 
12.8%
ValueCountFrequency (%)
126.4508646 1
1.2%
126.6477075 2
2.3%
126.9289971 1
1.2%
126.9652848 1
1.2%
127.0675015 1
1.2%
127.0962288 1
1.2%
127.1016757 1
1.2%
127.1154967 1
1.2%
127.1174445 1
1.2%
127.1197795 1
1.2%
ValueCountFrequency (%)
127.1556149 1
1.2%
127.1520336 1
1.2%
127.1487787 1
1.2%
127.1487594 1
1.2%
127.1465349 1
1.2%
127.1461896 1
1.2%
127.1458318 1
1.2%
127.1457729 1
1.2%
127.1452144 1
1.2%
127.1451457 1
1.2%

관리기관명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
경기도 구리시청
72 
<NA>
14 

Length

Max length8
Median length8
Mean length7.3488372
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 구리시청
2nd row경기도 구리시청
3rd row경기도 구리시청
4th row경기도 구리시청
5th row경기도 구리시청

Common Values

ValueCountFrequency (%)
경기도 구리시청 72
83.7%
<NA> 14
 
16.3%

Length

2023-12-12T21:46:34.558123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:46:34.652336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 72
45.6%
구리시청 72
45.6%
na 14
 
8.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
Minimum2022-06-03 00:00:00
Maximum2022-06-03 00:00:00
2023-12-12T21:46:34.756660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:46:34.869483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T21:46:31.756065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:46:31.618757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:46:31.824886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:46:31.685449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:46:34.937243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시설물명소재지위도경도
구분1.0000.9170.9740.4420.537
시설물명0.9171.0000.9581.0001.000
소재지0.9740.9581.0000.0000.000
위도0.4421.0000.0001.0001.000
경도0.5371.0000.0001.0001.000
2023-12-12T21:46:35.024041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분관리기관명
구분1.0001.000
관리기관명1.0001.000
2023-12-12T21:46:35.096908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도구분관리기관명
위도1.000-0.1310.2701.000
경도-0.1311.0000.2961.000
구분0.2700.2961.0001.000
관리기관명1.0001.0001.0001.000

Missing values

2023-12-12T21:46:31.929865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:46:32.339084image/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.
2023-12-12T21:46:32.432100image/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

구분시설물명소재지위도경도관리기관명데이터기준일자
0학원구리구주이배수학학원경기도 구리시 건원대로99번길 13237.592151127.138692경기도 구리시청2022-06-03
1학원씨엔씨학원경기도 구리시 벌말로129번길 50 (토평동)37.55878126.965285경기도 구리시청2022-06-03
2도서관(구리시)인창도서관경기도 구리시 인창2로43번길 5037.604825127.145832경기도 구리시청2022-06-03
3도서관(구리시)토평도서관경기도 구리시 갈매순환로 28 1층 (갈매동)37.586243127.145773경기도 구리시청2022-06-03
4어린이집명성어린이집경기도 구리시 동구릉로 217-9 (인창동)37.595526127.14619경기도 구리시청2022-06-03
5어린이집제자어린이집경기도 구리시 원수택로 8, 2층 (수택동)37.595275127.142448경기도 구리시청2022-06-03
6어린이집노벨어린이집경기도 구리시 검배로48번길 18, 지하1층 (수택동)37.592661127.101676경기도 구리시청2022-06-03
7어린이집시립동구어린이집경기도 구리시 동구릉로 124, 4층 (인창동)37.618594127.138211경기도 구리시청2022-06-03
8어린이집하얀어린이집경기도 구리시 검배로 64, 5층(수택동)37.59034127.145146경기도 구리시청2022-06-03
9어린이집조아어린이집경기도 구리시 동구릉로53번길 79, 2층 (인창동)37.604609127.139186경기도 구리시청2022-06-03
구분시설물명소재지위도경도관리기관명데이터기준일자
76의료기관투재암요양병원경기도 구리시 동구릉로460번길 837.599051127.130116<NA>2022-06-03
77의료기관한양대학교구리병원경기도 구리시 경춘로 15337.601305127.132381<NA>2022-06-03
78의료기관재단법인원진녹색병원경기도 구리시 동구릉로 6537.601305127.132381<NA>2022-06-03
79의료기관리체한방병원경기도 구리시 교문동 213번지37.599368127.132872<NA>2022-06-03
80의료기관율치한방병원<NA>37.599138127.136001<NA>2022-06-03
81장례식장원진녹색병원장례식장경기도 구리시 인창동 527-4437.605978127.133775<NA>2022-06-03
82장례식장윤서병원장례식장경기도 구리시 인창동 344-1937.605193127.13959<NA>2022-06-03
83노인요양시설구리시립노인전문요양원경기도 구리시 갈매동 43-737.636055127.128849<NA>2022-06-03
84노인요양시설구리효심노인요양원경기도 구리시 교문동 216-1137.600161127.133724<NA>2022-06-03
85노인요양시설효사랑요양원경기도 구리시 동구릉로460번길 837.17463126.928997<NA>2022-06-03