Overview

Dataset statistics

Number of variables6
Number of observations189
Missing cells44
Missing cells (%)3.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.2 KiB
Average record size in memory49.7 B

Variable types

Categorical1
Text3
Numeric1
DateTime1

Dataset

Description경기도 평택시 실내공기질 관리법 적용 대상 다중이용시설 현황에 대한 정보로 시설구분, 시설명, 도로명주소, 전화번호, 연면적 등의 데이터를 제공합니다.※ 문의 : 평택시청 환경정책과(031-8024-3738)
Author경기도 평택시
URLhttps://www.data.go.kr/data/15039673/fileData.do

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 44 (23.3%) missing valuesMissing

Reproduction

Analysis started2024-03-14 16:16:14.071513
Analysis finished2024-03-14 16:16:15.362541
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설구분
Categorical

Distinct14
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
어린이집
53 
인터넷컴퓨터게임시설제공업
29 
의료기관
29 
노인요양시설
25 
실내주차장
22 
Other values (9)
31 

Length

Max length13
Median length9
Mean length5.8835979
Min length2

Unique

Unique4 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
어린이집 53
28.0%
인터넷컴퓨터게임시설제공업 29
15.3%
의료기관 29
15.3%
노인요양시설 25
13.2%
실내주차장 22
11.6%
대규모점포 8
 
4.2%
목욕장업 7
 
3.7%
영화상영관 5
 
2.6%
산후조리원 5
 
2.6%
도서관 2
 
1.1%
Other values (4) 4
 
2.1%

Length

2024-03-15T01:16:15.581741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어린이집 53
27.9%
인터넷컴퓨터게임시설제공업 29
15.3%
의료기관 29
15.3%
노인요양시설 25
13.2%
실내주차장 22
11.6%
대규모점포 8
 
4.2%
목욕장업 7
 
3.7%
영화상영관 5
 
2.6%
산후조리원 5
 
2.6%
도서관 2
 
1.1%
Other values (5) 5
 
2.6%

시설명
Text

Distinct187
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-15T01:16:16.380318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length8.6455026
Min length4

Characters and Unicode

Total characters1634
Distinct characters295
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique185 ?
Unique (%)97.9%

Sample

1st row이마트 평택점
2nd row롯데마트 평택점
3rd row홈플러스 송탄점
4th row홈플러스 안중점
5th rowAK PLAZA 평택점
ValueCountFrequency (%)
pc 9
 
3.4%
의료법인 7
 
2.7%
평택점 5
 
1.9%
어린이집 4
 
1.5%
홈플러스 3
 
1.1%
2호점 3
 
1.1%
안중점 3
 
1.1%
노리터 2
 
0.8%
양진의료재단 2
 
0.8%
센트리마 2
 
0.8%
Other values (219) 222
84.7%
2024-03-15T01:16:17.988445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
 
4.6%
이 68
 
4.2%
원 65
 
4.0%
어 55
 
3.4%
린 54
 
3.3%
집 53
 
3.2%
평 38
 
2.3%
택 37
 
2.3%
양 32
 
2.0%
P 29
 
1.8%
Other values (285) 1128
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1393
85.3%
Uppercase Letter 115
 
7.0%
Space Separator 75
 
4.6%
Lowercase Letter 20
 
1.2%
Decimal Number 10
 
0.6%
Close Punctuation 9
 
0.6%
Open Punctuation 9
 
0.6%
Dash Punctuation 2
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 68
 
4.9%
원 65
 
4.7%
어 55
 
3.9%
린 54
 
3.9%
집 53
 
3.8%
평 38
 
2.7%
택 37
 
2.7%
양 32
 
2.3%
요 29
 
2.1%
병 28
 
2.0%
Other values (246) 934
67.0%
Uppercase Letter
ValueCountFrequency (%)
P 29
25.2%
C 29
25.2%
A 10
 
8.7%
E 5
 
4.3%
M 4
 
3.5%
S 4
 
3.5%
L 4
 
3.5%
O 3
 
2.6%
T 3
 
2.6%
G 3
 
2.6%
Other values (10) 21
18.3%
Lowercase Letter
ValueCountFrequency (%)
c 6
30.0%
u 3
15.0%
p 3
15.0%
n 2
 
10.0%
v 1
 
5.0%
g 1
 
5.0%
j 1
 
5.0%
b 1
 
5.0%
l 1
 
5.0%
a 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
2 5
50.0%
1 3
30.0%
3 1
 
10.0%
5 1
 
10.0%
Space Separator
ValueCountFrequency (%)
75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1394
85.3%
Latin 135
 
8.3%
Common 105
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 68
 
4.9%
원 65
 
4.7%
어 55
 
3.9%
린 54
 
3.9%
집 53
 
3.8%
평 38
 
2.7%
택 37
 
2.7%
양 32
 
2.3%
요 29
 
2.1%
병 28
 
2.0%
Other values (247) 935
67.1%
Latin
ValueCountFrequency (%)
P 29
21.5%
C 29
21.5%
A 10
 
7.4%
c 6
 
4.4%
E 5
 
3.7%
M 4
 
3.0%
S 4
 
3.0%
L 4
 
3.0%
O 3
 
2.2%
T 3
 
2.2%
Other values (20) 38
28.1%
Common
ValueCountFrequency (%)
75
71.4%
) 9
 
8.6%
( 9
 
8.6%
2 5
 
4.8%
1 3
 
2.9%
- 2
 
1.9%
3 1
 
1.0%
5 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1393
85.3%
ASCII 240
 
14.7%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75
31.2%
P 29
 
12.1%
C 29
 
12.1%
A 10
 
4.2%
) 9
 
3.8%
( 9
 
3.8%
c 6
 
2.5%
E 5
 
2.1%
2 5
 
2.1%
M 4
 
1.7%
Other values (28) 59
24.6%
Hangul
ValueCountFrequency (%)
이 68
 
4.9%
원 65
 
4.7%
어 55
 
3.9%
린 54
 
3.9%
집 53
 
3.8%
평 38
 
2.7%
택 37
 
2.7%
양 32
 
2.3%
요 29
 
2.1%
병 28
 
2.0%
Other values (246) 934
67.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지도로명주소
Text

Distinct184
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-03-15T01:16:19.404446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length43
Mean length23.068783
Min length14

Characters and Unicode

Total characters4360
Distinct characters181
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

Unique179 ?
Unique (%)94.7%

Sample

1st row경기도 평택시 영신로 29(지제동)
2nd row경기도 평택시 평택5로 30(합정동)
3rd row경기도 평택시 경기대로 1103(장당동)
4th row경기도 평택시 안중읍 서동대로 1489
5th row경기도 평택시 평택로 51(평택동)
ValueCountFrequency (%)
경기도 189
 
19.6%
평택시 189
 
19.6%
안중읍 22
 
2.3%
비전동 15
 
1.6%
경기대로 11
 
1.1%
서동대로 10
 
1.0%
포승읍 10
 
1.0%
팽성읍 8
 
0.8%
비전5로 7
 
0.7%
평택동 7
 
0.7%
Other values (353) 498
51.6%
2024-03-15T01:16:20.921435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
778
17.8%
평 227
 
5.2%
택 222
 
5.1%
기 201
 
4.6%
경 200
 
4.6%
시 193
 
4.4%
도 191
 
4.4%
1 153
 
3.5%
로 145
 
3.3%
2 117
 
2.7%
Other values (171) 1933
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2480
56.9%
Decimal Number 784
 
18.0%
Space Separator 778
 
17.8%
Close Punctuation 85
 
1.9%
Open Punctuation 85
 
1.9%
Other Punctuation 71
 
1.6%
Dash Punctuation 60
 
1.4%
Uppercase Letter 9
 
0.2%
Math Symbol 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 227
 
9.2%
택 222
 
9.0%
기 201
 
8.1%
경 200
 
8.1%
시 193
 
7.8%
도 191
 
7.7%
로 145
 
5.8%
동 106
 
4.3%
길 66
 
2.7%
층 46
 
1.9%
Other values (152) 883
35.6%
Decimal Number
ValueCountFrequency (%)
1 153
19.5%
2 117
14.9%
4 86
11.0%
5 83
10.6%
0 80
10.2%
3 74
9.4%
6 57
 
7.3%
9 52
 
6.6%
7 44
 
5.6%
8 38
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 7
77.8%
S 1
 
11.1%
M 1
 
11.1%
Space Separator
ValueCountFrequency (%)
778
100.0%
Close Punctuation
ValueCountFrequency (%)
) 85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 85
100.0%
Other Punctuation
ValueCountFrequency (%)
, 71
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2480
56.9%
Common 1871
42.9%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 227
 
9.2%
택 222
 
9.0%
기 201
 
8.1%
경 200
 
8.1%
시 193
 
7.8%
도 191
 
7.7%
로 145
 
5.8%
동 106
 
4.3%
길 66
 
2.7%
층 46
 
1.9%
Other values (152) 883
35.6%
Common
ValueCountFrequency (%)
778
41.6%
1 153
 
8.2%
2 117
 
6.3%
4 86
 
4.6%
) 85
 
4.5%
( 85
 
4.5%
5 83
 
4.4%
0 80
 
4.3%
3 74
 
4.0%
, 71
 
3.8%
Other values (6) 259
 
13.8%
Latin
ValueCountFrequency (%)
B 7
77.8%
S 1
 
11.1%
M 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2480
56.9%
ASCII 1880
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
778
41.4%
1 153
 
8.1%
2 117
 
6.2%
4 86
 
4.6%
) 85
 
4.5%
( 85
 
4.5%
5 83
 
4.4%
0 80
 
4.3%
3 74
 
3.9%
, 71
 
3.8%
Other values (9) 268
 
14.3%
Hangul
ValueCountFrequency (%)
평 227
 
9.2%
택 222
 
9.0%
기 201
 
8.1%
경 200
 
8.1%
시 193
 
7.8%
도 191
 
7.7%
로 145
 
5.8%
동 106
 
4.3%
길 66
 
2.7%
층 46
 
1.9%
Other values (152) 883
35.6%

전화번호
Text

MISSING 

Distinct141
Distinct (%)97.2%
Missing44
Missing (%)23.3%
Memory size1.6 KiB
2024-03-15T01:16:21.897030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length12.096552
Min length9

Characters and Unicode

Total characters1754
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

Unique137 ?
Unique (%)94.5%

Sample

1st row031-371-1234
2nd row031-8053-2521
3rd row031-8053-8000
4th row031-8046-8200
5th row031-615-1296
ValueCountFrequency (%)
031-652-6644 2
 
1.4%
031-8046-8200 2
 
1.4%
031-1800-8800 2
 
1.4%
031-8053-8842 2
 
1.4%
031-615-7500 1
 
0.7%
1800-7050 1
 
0.7%
031-651-8279 1
 
0.7%
031-612-7000 1
 
0.7%
031-666-2600 1
 
0.7%
031-669-9988 1
 
0.7%
Other values (131) 131
90.3%
2024-03-15T01:16:23.490014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 290
16.5%
- 285
16.2%
1 233
13.3%
6 208
11.9%
3 198
11.3%
8 122
7.0%
5 116
 
6.6%
2 84
 
4.8%
7 83
 
4.7%
4 72
 
4.1%
Other values (4) 63
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1466
83.6%
Dash Punctuation 285
 
16.2%
Math Symbol 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 290
19.8%
1 233
15.9%
6 208
14.2%
3 198
13.5%
8 122
8.3%
5 116
 
7.9%
2 84
 
5.7%
7 83
 
5.7%
4 72
 
4.9%
9 60
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 285
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1754
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 290
16.5%
- 285
16.2%
1 233
13.3%
6 208
11.9%
3 198
11.3%
8 122
7.0%
5 116
 
6.6%
2 84
 
4.8%
7 83
 
4.7%
4 72
 
4.1%
Other values (4) 63
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1754
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 290
16.5%
- 285
16.2%
1 233
13.3%
6 208
11.9%
3 198
11.3%
8 122
7.0%
5 116
 
6.6%
2 84
 
4.8%
7 83
 
4.7%
4 72
 
4.1%
Other values (4) 63
 
3.6%

연면적(제곱미터)
Real number (ℝ)

Distinct186
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3933.8254
Minimum301.53
Maximum43735
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-15T01:16:23.750125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum301.53
5-th percentile334.94
Q1569
median1392.41
Q33734.41
95-th percentile16891.484
Maximum43735
Range43433.47
Interquartile range (IQR)3165.41

Descriptive statistics

Standard deviation6959.0383
Coefficient of variation (CV)1.7690257
Kurtosis13.873997
Mean3933.8254
Median Absolute Deviation (MAD)964.91
Skewness3.5519628
Sum743493.01
Variance48428214
MonotonicityNot monotonic
2024-03-15T01:16:24.047427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
440.0 2
 
1.1%
1177.0 2
 
1.1%
313.0 2
 
1.1%
8662.8 1
 
0.5%
2009.24 1
 
0.5%
2701.23 1
 
0.5%
3600.36 1
 
0.5%
2754.36 1
 
0.5%
3734.41 1
 
0.5%
4988.22 1
 
0.5%
Other values (176) 176
93.1%
ValueCountFrequency (%)
301.53 1
0.5%
301.6 1
0.5%
310.85 1
0.5%
313.0 2
1.1%
318.76 1
0.5%
319.02 1
0.5%
326.0 1
0.5%
330.11 1
0.5%
333.0 1
0.5%
337.85 1
0.5%
ValueCountFrequency (%)
43735.0 1
0.5%
37245.74 1
0.5%
37112.0 1
0.5%
36624.83 1
0.5%
31485.0 1
0.5%
23896.0 1
0.5%
22423.46 1
0.5%
21983.0 1
0.5%
18733.65 1
0.5%
17205.0 1
0.5%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2024-02-16 00:00:00
Maximum2024-02-16 00:00:00
2024-03-15T01:16:24.412506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:16:24.666220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T01:16:14.596233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T01:16:24.789557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분연면적(제곱미터)
시설구분1.0000.665
연면적(제곱미터)0.6651.000
2024-03-15T01:16:24.928270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적(제곱미터)시설구분
연면적(제곱미터)1.0000.351
시설구분0.3511.000

Missing values

2024-03-15T01:16:14.926086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:16:15.221013image/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

시설구분시설명소재지도로명주소전화번호연면적(제곱미터)데이터기준일
0대규모점포이마트 평택점경기도 평택시 영신로 29(지제동)031-371-123416421.212024-02-16
1대규모점포롯데마트 평택점경기도 평택시 평택5로 30(합정동)031-8053-252113418.952024-02-16
2대규모점포홈플러스 송탄점경기도 평택시 경기대로 1103(장당동)031-8053-800013608.252024-02-16
3대규모점포홈플러스 안중점경기도 평택시 안중읍 서동대로 1489031-8046-820017205.02024-02-16
4대규모점포AK PLAZA 평택점경기도 평택시 평택로 51(평택동)031-615-129637112.02024-02-16
5대규모점포뉴코아아울렛 평택점경기도 평택시 경기대로 279(비전동)031-650-672036624.832024-02-16
6대규모점포엠프라자경기도 평택시 중앙로 46(평택동)031-652-664418733.652024-02-16
7대규모점포평택프리미엄아울렛경기도 평택시 경기대로 945(장당동)031-660-100031485.02024-02-16
8도서관배다리도서관경기도 평택시 죽백6로 20031-8024-54925132.62024-02-16
9도서관안중도서관경기도 평택시 서동대로 1531 안중도서관031-8024-83434200.02024-02-16
시설구분시설명소재지도로명주소전화번호연면적(제곱미터)데이터기준일
179노인요양시설안중사회복지요양원경기도 평택시 안중읍 현화1길 23031-681-84251821.832024-02-16
180노인요양시설온누리사랑채경기도 평택시 안중읍 서해로 1141-21031-681-86001887.022024-02-16
181노인요양시설이웃사랑너싱홈경기도 평택시 현덕면 포승남로 146031-682-50005627.882024-02-16
182노인요양시설정음요양원경기도 평택시 서정역로 48 (서정동)031-647-67951160.282024-02-16
183노인요양시설참사랑요양원경기도 평택시 평택5로34번길 43-16 (합정동)031-654-77002154.692024-02-16
184노인요양시설평택시노인전문요양원경기도 평택시 청북읍 건의길 4-13031-684-16773551.02024-02-16
185노인요양시설평택에이스요양원경기도 평택시 고덕면 새악길 45-14031-668-11711820.012024-02-16
186노인요양시설평택제일요양원경기도 평택시 목천로 72-19031-667-90013917.62024-02-16
187노인요양시설혜인요양원경기도 평택시 진위면 동천2길 45-29031-667-47731169.932024-02-16
188노인요양시설닥터정요양원경기도 평택시 탄현로1번길 270507-1448-60901691.912024-02-16