Overview

Dataset statistics

Number of variables7
Number of observations98
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory59.3 B

Variable types

Categorical2
Text2
Numeric2
DateTime1

Dataset

Description부산광역시_동래구_실내공기질관리현황_20221212
Author부산광역시 동래구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15025970

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-10 17:45:23.323865
Analysis finished2023-12-10 17:45:25.728446
Duration2.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
부산광역시 동래구청
98 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 동래구청
2nd row부산광역시 동래구청
3rd row부산광역시 동래구청
4th row부산광역시 동래구청
5th row부산광역시 동래구청

Common Values

ValueCountFrequency (%)
부산광역시 동래구청 98
100.0%

Length

2023-12-11T02:45:25.900151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:45:26.111100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 98
50.0%
동래구청 98
50.0%

대상시설구분
Categorical

Distinct13
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size916.0 B
의료기관
34 
실내주차장
14 
어린이집
13 
대규모점포
9 
지하역사
8 
Other values (8)
20 

Length

Max length13
Median length4
Mean length4.9081633
Min length3

Unique

Unique3 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
의료기관 34
34.7%
실내주차장 14
14.3%
어린이집 13
 
13.3%
대규모점포 9
 
9.2%
지하역사 8
 
8.2%
인터넷컴퓨터게임시설제공업 6
 
6.1%
노인요양시설 5
 
5.1%
영화관 2
 
2.0%
박물관 2
 
2.0%
목욕장업 2
 
2.0%
Other values (3) 3
 
3.1%

Length

2023-12-11T02:45:26.344620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의료기관 34
34.7%
실내주차장 14
14.3%
어린이집 13
 
13.3%
대규모점포 9
 
9.2%
지하역사 8
 
8.2%
인터넷컴퓨터게임시설제공업 6
 
6.1%
노인요양시설 5
 
5.1%
영화관 2
 
2.0%
박물관 2
 
2.0%
목욕장업 2
 
2.0%
Other values (3) 3
 
3.1%

시설명
Text

Distinct91
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-11T02:45:26.904469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length8.6938776
Min length3

Characters and Unicode

Total characters852
Distinct characters207
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)85.7%

Sample

1st row(사)부산의료선교회세계로병원
2nd row(사)한국건강관리협회건강증진의원
3rd row(의)광혜의료재단광혜병원
4th row(의)동영의료재단 상록병원
5th row(의)상원의료재단부산힘찬병원
ValueCountFrequency (%)
동래점 6
 
4.6%
pc방 3
 
2.3%
홈플러스(주 2
 
1.5%
좋은날에 2
 
1.5%
대동병원 2
 
1.5%
동래 2
 
1.5%
사회복지법인 2
 
1.5%
허심청 2
 
1.5%
의)상원의료재단부산힘찬병원 2
 
1.5%
도매상가 2
 
1.5%
Other values (100) 105
80.8%
2023-12-11T02:45:27.849627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 45
 
5.3%
병 35
 
4.1%
33
 
3.9%
의 30
 
3.5%
동 28
 
3.3%
래 22
 
2.6%
양 21
 
2.5%
( 20
 
2.3%
) 20
 
2.3%
이 19
 
2.2%
Other values (197) 579
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 745
87.4%
Space Separator 33
 
3.9%
Uppercase Letter 26
 
3.1%
Open Punctuation 20
 
2.3%
Close Punctuation 20
 
2.3%
Other Symbol 4
 
0.5%
Decimal Number 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 45
 
6.0%
병 35
 
4.7%
의 30
 
4.0%
동 28
 
3.8%
래 22
 
3.0%
양 21
 
2.8%
이 19
 
2.6%
요 19
 
2.6%
료 16
 
2.1%
재 15
 
2.0%
Other values (178) 495
66.4%
Uppercase Letter
ValueCountFrequency (%)
C 7
26.9%
P 6
23.1%
B 2
 
7.7%
O 2
 
7.7%
Z 1
 
3.8%
E 1
 
3.8%
N 1
 
3.8%
K 1
 
3.8%
S 1
 
3.8%
X 1
 
3.8%
Other values (3) 3
11.5%
Decimal Number
ValueCountFrequency (%)
4 2
50.0%
3 2
50.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 749
87.9%
Common 77
 
9.0%
Latin 26
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 45
 
6.0%
병 35
 
4.7%
의 30
 
4.0%
동 28
 
3.7%
래 22
 
2.9%
양 21
 
2.8%
이 19
 
2.5%
요 19
 
2.5%
료 16
 
2.1%
재 15
 
2.0%
Other values (179) 499
66.6%
Latin
ValueCountFrequency (%)
C 7
26.9%
P 6
23.1%
B 2
 
7.7%
O 2
 
7.7%
Z 1
 
3.8%
E 1
 
3.8%
N 1
 
3.8%
K 1
 
3.8%
S 1
 
3.8%
X 1
 
3.8%
Other values (3) 3
11.5%
Common
ValueCountFrequency (%)
33
42.9%
( 20
26.0%
) 20
26.0%
4 2
 
2.6%
3 2
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 745
87.4%
ASCII 103
 
12.1%
None 4
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 45
 
6.0%
병 35
 
4.7%
의 30
 
4.0%
동 28
 
3.8%
래 22
 
3.0%
양 21
 
2.8%
이 19
 
2.6%
요 19
 
2.6%
료 16
 
2.1%
재 15
 
2.0%
Other values (178) 495
66.4%
ASCII
ValueCountFrequency (%)
33
32.0%
( 20
19.4%
) 20
19.4%
C 7
 
6.8%
P 6
 
5.8%
4 2
 
1.9%
3 2
 
1.9%
B 2
 
1.9%
O 2
 
1.9%
Z 1
 
1.0%
Other values (8) 8
 
7.8%
None
ValueCountFrequency (%)
㈜ 4
100.0%

소재지
Text

Distinct83
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-11T02:45:28.552131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length25.316327
Min length20

Characters and Unicode

Total characters2481
Distinct characters94
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)75.5%

Sample

1st row부산광역시 동래구 종합운동장로 42 (사직동)
2nd row부산광역시 동래구 충렬대로 145 (온천동)
3rd row부산광역시 동래구 충렬대로 96 (온천동)
4th row부산광역시 동래구 충렬대로 426 (안락동)
5th row부산광역시 동래구 충렬대로 255 (수안동)
ValueCountFrequency (%)
부산광역시 98
19.4%
동래구 98
19.4%
온천동 36
 
7.1%
충렬대로 26
 
5.2%
중앙대로 14
 
2.8%
안락동 13
 
2.6%
명륜동 12
 
2.4%
1523 8
 
1.6%
사직동 8
 
1.6%
지하 8
 
1.6%
Other values (125) 183
36.3%
2023-12-11T02:45:29.539176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
407
 
16.4%
동 191
 
7.7%
시 108
 
4.4%
래 101
 
4.1%
부 99
 
4.0%
구 99
 
4.0%
광 98
 
4.0%
역 98
 
4.0%
산 98
 
4.0%
로 97
 
3.9%
Other values (84) 1085
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1532
61.7%
Space Separator 407
 
16.4%
Decimal Number 335
 
13.5%
Open Punctuation 89
 
3.6%
Close Punctuation 89
 
3.6%
Other Punctuation 13
 
0.5%
Uppercase Letter 10
 
0.4%
Math Symbol 2
 
0.1%
Dash Punctuation 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 191
 
12.5%
시 108
 
7.0%
래 101
 
6.6%
부 99
 
6.5%
구 99
 
6.5%
광 98
 
6.4%
역 98
 
6.4%
산 98
 
6.4%
로 97
 
6.3%
대 53
 
3.5%
Other values (60) 490
32.0%
Decimal Number
ValueCountFrequency (%)
1 69
20.6%
2 57
17.0%
3 43
12.8%
5 32
9.6%
4 27
 
8.1%
9 25
 
7.5%
7 25
 
7.5%
8 23
 
6.9%
0 18
 
5.4%
6 16
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
S 3
30.0%
K 3
30.0%
Y 1
 
10.0%
B 1
 
10.0%
U 1
 
10.0%
H 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
407
100.0%
Open Punctuation
ValueCountFrequency (%)
( 89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 89
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1532
61.7%
Common 937
37.8%
Latin 12
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 191
 
12.5%
시 108
 
7.0%
래 101
 
6.6%
부 99
 
6.5%
구 99
 
6.5%
광 98
 
6.4%
역 98
 
6.4%
산 98
 
6.4%
로 97
 
6.3%
대 53
 
3.5%
Other values (60) 490
32.0%
Common
ValueCountFrequency (%)
407
43.4%
( 89
 
9.5%
) 89
 
9.5%
1 69
 
7.4%
2 57
 
6.1%
3 43
 
4.6%
5 32
 
3.4%
4 27
 
2.9%
9 25
 
2.7%
7 25
 
2.7%
Other values (6) 74
 
7.9%
Latin
ValueCountFrequency (%)
S 3
25.0%
K 3
25.0%
s 1
 
8.3%
k 1
 
8.3%
Y 1
 
8.3%
B 1
 
8.3%
U 1
 
8.3%
H 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1532
61.7%
ASCII 949
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
407
42.9%
( 89
 
9.4%
) 89
 
9.4%
1 69
 
7.3%
2 57
 
6.0%
3 43
 
4.5%
5 32
 
3.4%
4 27
 
2.8%
9 25
 
2.6%
7 25
 
2.6%
Other values (14) 86
 
9.1%
Hangul
ValueCountFrequency (%)
동 191
 
12.5%
시 108
 
7.0%
래 101
 
6.6%
부 99
 
6.5%
구 99
 
6.5%
광 98
 
6.4%
역 98
 
6.4%
산 98
 
6.4%
로 97
 
6.3%
대 53
 
3.5%
Other values (60) 490
32.0%

위도
Real number (ℝ)

Distinct74
Distinct (%)75.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.206571
Minimum35.192716
Maximum35.221956
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1014.0 B
2023-12-11T02:45:29.915457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.192716
5-th percentile35.19532
Q135.200736
median35.204725
Q335.212303
95-th percentile35.22129
Maximum35.221956
Range0.02923987
Interquartile range (IQR)0.011566825

Descriptive statistics

Standard deviation0.0083814344
Coefficient of variation (CV)0.00023806449
Kurtosis-0.88108174
Mean35.206571
Median Absolute Deviation (MAD)0.00698363
Skewness0.43090145
Sum3450.2439
Variance7.0248443 × 10-5
MonotonicityNot monotonic
2023-12-11T02:45:30.246336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.20367126 8
 
8.2%
35.22128992 7
 
7.1%
35.21170859 5
 
5.1%
35.21397883 2
 
2.0%
35.20148126 2
 
2.0%
35.22115359 2
 
2.0%
35.20472496 2
 
2.0%
35.20326558 2
 
2.0%
35.20454596 2
 
2.0%
35.19606805 2
 
2.0%
Other values (64) 64
65.3%
ValueCountFrequency (%)
35.19271571 1
1.0%
35.19449667 1
1.0%
35.19464285 1
1.0%
35.19467137 1
1.0%
35.19512145 1
1.0%
35.19535482 1
1.0%
35.19553239 1
1.0%
35.19585742 1
1.0%
35.19606805 2
2.0%
35.19622865 1
1.0%
ValueCountFrequency (%)
35.22195558 1
 
1.0%
35.22130804 1
 
1.0%
35.22129139 1
 
1.0%
35.22128992 7
7.1%
35.22115359 2
 
2.0%
35.21917573 1
 
1.0%
35.21911149 1
 
1.0%
35.21906324 1
 
1.0%
35.21741464 1
 
1.0%
35.21726317 1
 
1.0%

경도
Real number (ℝ)

Distinct75
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.08332
Minimum129.05347
Maximum129.1133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1014.0 B
2023-12-11T02:45:30.607163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.05347
5-th percentile129.06283
Q1129.07748
median129.08293
Q3129.08721
95-th percentile129.10373
Maximum129.1133
Range0.0598237
Interquartile range (IQR)0.0097336

Descriptive statistics

Standard deviation0.012094636
Coefficient of variation (CV)9.3696351 × 10-5
Kurtosis0.17394213
Mean129.08332
Median Absolute Deviation (MAD)0.00455645
Skewness0.0090480739
Sum12650.166
Variance0.00014628023
MonotonicityNot monotonic
2023-12-11T02:45:30.947289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0872104 8
 
8.2%
129.0855783 6
 
6.1%
129.0774768 5
 
5.1%
129.081138 2
 
2.0%
129.0796376 2
 
2.0%
129.0871702 2
 
2.0%
129.0826876 2
 
2.0%
129.0802727 2
 
2.0%
129.0801765 2
 
2.0%
129.1075774 2
 
2.0%
Other values (65) 65
66.3%
ValueCountFrequency (%)
129.0534715 1
1.0%
129.0549065 1
1.0%
129.0575569 1
1.0%
129.0613611 1
1.0%
129.0618012 1
1.0%
129.0630115 1
1.0%
129.0631321 1
1.0%
129.0645446 1
1.0%
129.0647531 1
1.0%
129.0674442 1
1.0%
ValueCountFrequency (%)
129.1132952 1
1.0%
129.1075774 2
2.0%
129.1062789 1
1.0%
129.1048014 1
1.0%
129.1035459 1
1.0%
129.1034277 1
1.0%
129.1033911 1
1.0%
129.1025951 1
1.0%
129.1008601 1
1.0%
129.1002114 1
1.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
Minimum2022-12-12 00:00:00
Maximum2022-12-12 00:00:00
2023-12-11T02:45:31.198000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:45:31.426545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T02:45:24.801600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:45:24.358418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:45:25.024670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:45:24.588393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:45:31.616792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대상시설구분시설명소재지위도경도
대상시설구분1.0000.8630.0000.5290.462
시설명0.8631.0001.0001.0001.000
소재지0.0001.0001.0001.0001.000
위도0.5291.0001.0001.0000.779
경도0.4621.0001.0000.7791.000
2023-12-11T02:45:31.869590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도대상시설구분
위도1.000-0.2940.244
경도-0.2941.0000.210
대상시설구분0.2440.2101.000

Missing values

2023-12-11T02:45:25.337923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:45:25.615932image/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

관리기관명대상시설구분시설명소재지위도경도데이터기준일자
0부산광역시 동래구청의료기관(사)부산의료선교회세계로병원부산광역시 동래구 종합운동장로 42 (사직동)35.194497129.0647532022-12-12
1부산광역시 동래구청의료기관(사)한국건강관리협회건강증진의원부산광역시 동래구 충렬대로 145 (온천동)35.20538129.0765692022-12-12
2부산광역시 동래구청의료기관(의)광혜의료재단광혜병원부산광역시 동래구 충렬대로 96 (온천동)35.206996129.0711552022-12-12
3부산광역시 동래구청의료기관(의)동영의료재단 상록병원부산광역시 동래구 충렬대로 426 (안락동)35.196229129.1048012022-12-12
4부산광역시 동래구청의료기관(의)상원의료재단부산힘찬병원부산광역시 동래구 충렬대로 255 (수안동)35.201481129.087172022-12-12
5부산광역시 동래구청실내주차장(의)상원의료재단부산힘찬병원부산광역시 동래구 충렬대로 255 (수안동)35.201481129.087172022-12-12
6부산광역시 동래구청의료기관(의)영신의료재단동래유유요양병원부산광역시 동래구 금강로 64 (온천동)35.214899129.0775412022-12-12
7부산광역시 동래구청의료기관(의)온의료재단신세계요양병원부산광역시 동래구 온천장로 40 (온천동)35.215664129.0797152022-12-12
8부산광역시 동래구청의료기관(의)윤재의료재단금강요양병원부산광역시 동래구 금강공원로 32 (온천동)35.219176129.0811012022-12-12
9부산광역시 동래구청의료기관(의)윤재의료재단금정요양병원부산광역시 동래구 금강로 141 (온천동)35.221308129.0805372022-12-12
관리기관명대상시설구분시설명소재지위도경도데이터기준일자
88부산광역시 동래구청어린이집한독온천어린이집부산광역시 동래구 석사북로95번길 72(온천동)35.207437129.0631322022-12-12
89부산광역시 동래구청어린이집한빛어린이집부산광역시 동래구 명안로 45번길 19 (안락동)35.200748129.1033912022-12-12
90부산광역시 동래구청실내주차장한화생명(주)명륜동사옥부산광역시 동래구 충렬대로 190 (명륜동)35.202928129.0806552022-12-12
91부산광역시 동래구청박물관해양자연사박물관부산광역시 동래구 우장춘로 175 (온천동)35.221956129.0756462022-12-12
92부산광역시 동래구청목욕장업허심청부산광역시 동래구 온천장로 107번길 32 (온천동)35.221154129.0826882022-12-12
93부산광역시 동래구청실내주차장허심청부산광역시 동래구 온천장로 107번길 32 (온천동)35.221154129.0826882022-12-12
94부산광역시 동래구청어린이집현대어린이집부산광역시 동래구 동래로 98 (명륜동)35.207313129.0831732022-12-12
95부산광역시 동래구청어린이집혜화어린이집부산광역시 동래구 명장로99번길 25 (명장동)35.202262129.1132952022-12-12
96부산광역시 동래구청실내주차장홈플러스(주) 동래점부산광역시 동래구 중앙대로 1523 (온천동)35.22129129.0855782022-12-12
97부산광역시 동래구청대규모점포홈플러스(주) 동래점부산광역시 동래구 중앙대로 1523 (온천동)35.22129129.0855782022-12-12