Overview

Dataset statistics

Number of variables6
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory54.7 B

Variable types

Text3
Numeric1
Categorical2

Dataset

Description경상남도 양산시에 존재하는 민방위 비상급수시설에 대한 정보(관리번호, 명칭, 시설 위치, 규모, 수질 등)를 제공합니다.
Author경상남도 양산시
URLhttps://www.data.go.kr/data/15104057/fileData.do

Alerts

관리번호 has unique valuesUnique
시설 위치 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:09:16.349851
Analysis finished2023-12-12 17:09:16.965606
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T02:09:17.101655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.73913
Min length10

Characters and Unicode

Total characters247
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st rowE199700005
2nd rowE199700003
3rd rowE199700001
4th rowE199900002
5th rowE200400001
ValueCountFrequency (%)
e199700005 1
 
4.3%
e201000009 1
 
4.3%
e201000016 1
 
4.3%
e201000015 1
 
4.3%
e201000014 1
 
4.3%
e201900002 1
 
4.3%
e201900001 1
 
4.3%
e201000011 1
 
4.3%
e201000002 1
 
4.3%
e200500001 1
 
4.3%
Other values (13) 13
56.5%
2023-12-13T02:09:17.433740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 112
45.3%
1 32
 
13.0%
E 23
 
9.3%
9 22
 
8.9%
17
 
6.9%
2 17
 
6.9%
7 6
 
2.4%
4 6
 
2.4%
5 4
 
1.6%
6 3
 
1.2%
Other values (2) 5
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 207
83.8%
Uppercase Letter 23
 
9.3%
Space Separator 17
 
6.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 112
54.1%
1 32
 
15.5%
9 22
 
10.6%
2 17
 
8.2%
7 6
 
2.9%
4 6
 
2.9%
5 4
 
1.9%
6 3
 
1.4%
8 3
 
1.4%
3 2
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
E 23
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 224
90.7%
Latin 23
 
9.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 112
50.0%
1 32
 
14.3%
9 22
 
9.8%
17
 
7.6%
2 17
 
7.6%
7 6
 
2.7%
4 6
 
2.7%
5 4
 
1.8%
6 3
 
1.3%
8 3
 
1.3%
Latin
ValueCountFrequency (%)
E 23
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 247
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 112
45.3%
1 32
 
13.0%
E 23
 
9.3%
9 22
 
8.9%
17
 
6.9%
2 17
 
6.9%
7 6
 
2.4%
4 6
 
2.4%
5 4
 
1.6%
6 3
 
1.2%
Other values (2) 5
 
2.0%

명칭
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T02:09:17.679757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length7.2173913
Min length4

Characters and Unicode

Total characters166
Distinct characters76
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)91.3%

Sample

1st row물금읍 서남체육공원
2nd row하북면사무소
3rd row동면 계석마을회관 뒤
4th row양산시청
5th row원동초등학교 뒤
ValueCountFrequency (%)
양산서창대동아파트 2
 
7.1%
뒤 2
 
7.1%
북정 1
 
3.6%
하북면사무소 1
 
3.6%
명곡힐링온천 1
 
3.6%
효암학원 1
 
3.6%
용당마을 1
 
3.6%
경보그린1차아파트 1
 
3.6%
태원아파트 1
 
3.6%
평산초등학교 1
 
3.6%
Other values (16) 16
57.1%
2023-12-13T02:09:18.092075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
11.4%
원 8
 
4.8%
아 8
 
4.8%
파 8
 
4.8%
트 8
 
4.8%
동 7
 
4.2%
양 5
 
3.0%
학 5
 
3.0%
을 4
 
2.4%
산 4
 
2.4%
Other values (66) 90
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
86.7%
Space Separator 19
 
11.4%
Decimal Number 3
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 8
 
5.6%
아 8
 
5.6%
파 8
 
5.6%
트 8
 
5.6%
동 7
 
4.9%
양 5
 
3.5%
학 5
 
3.5%
을 4
 
2.8%
산 4
 
2.8%
마 4
 
2.8%
Other values (62) 83
57.6%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
3 1
33.3%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
86.7%
Common 22
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 8
 
5.6%
아 8
 
5.6%
파 8
 
5.6%
트 8
 
5.6%
동 7
 
4.9%
양 5
 
3.5%
학 5
 
3.5%
을 4
 
2.8%
산 4
 
2.8%
마 4
 
2.8%
Other values (62) 83
57.6%
Common
ValueCountFrequency (%)
19
86.4%
1 1
 
4.5%
3 1
 
4.5%
2 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
86.7%
ASCII 22
 
13.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
86.4%
1 1
 
4.5%
3 1
 
4.5%
2 1
 
4.5%
Hangul
ValueCountFrequency (%)
원 8
 
5.6%
아 8
 
5.6%
파 8
 
5.6%
트 8
 
5.6%
동 7
 
4.9%
양 5
 
3.5%
학 5
 
3.5%
을 4
 
2.8%
산 4
 
2.8%
마 4
 
2.8%
Other values (62) 83
57.6%

시설 위치
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T02:09:18.738288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length25.826087
Min length16

Characters and Unicode

Total characters594
Distinct characters107
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row경상남도 양산시 물금읍 동중7길 34-1
2nd row경상남도 양산시 하북면 신평강변5길 12
3rd row경상남도 양산시 동면 계석3길 1-16
4th row경상남도 양산시 중앙로 39(남부동)
5th row경상남도 양산시 원동면 원동로 1506-72
ValueCountFrequency (%)
경상남도 23
20.7%
양산시 23
20.7%
물금읍 5
 
4.5%
동중1길 3
 
2.7%
명곡로 2
 
1.8%
소주로 2
 
1.8%
182 2
 
1.8%
경남외국어고등학교 1
 
0.9%
평산중앙5길 1
 
0.9%
11(평산동 1
 
0.9%
Other values (48) 48
43.2%
2023-12-13T02:09:19.207461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
 
16.8%
산 28
 
4.7%
경 25
 
4.2%
남 25
 
4.2%
양 25
 
4.2%
도 23
 
3.9%
시 23
 
3.9%
상 23
 
3.9%
1 21
 
3.5%
동 20
 
3.4%
Other values (97) 281
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 380
64.0%
Space Separator 100
 
16.8%
Decimal Number 73
 
12.3%
Open Punctuation 15
 
2.5%
Close Punctuation 15
 
2.5%
Other Punctuation 8
 
1.3%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 28
 
7.4%
경 25
 
6.6%
남 25
 
6.6%
양 25
 
6.6%
도 23
 
6.1%
시 23
 
6.1%
상 23
 
6.1%
동 20
 
5.3%
로 13
 
3.4%
길 9
 
2.4%
Other values (82) 166
43.7%
Decimal Number
ValueCountFrequency (%)
1 21
28.8%
2 12
16.4%
3 8
 
11.0%
7 7
 
9.6%
0 5
 
6.8%
5 5
 
6.8%
4 5
 
6.8%
8 4
 
5.5%
6 4
 
5.5%
9 2
 
2.7%
Space Separator
ValueCountFrequency (%)
100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 380
64.0%
Common 214
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 28
 
7.4%
경 25
 
6.6%
남 25
 
6.6%
양 25
 
6.6%
도 23
 
6.1%
시 23
 
6.1%
상 23
 
6.1%
동 20
 
5.3%
로 13
 
3.4%
길 9
 
2.4%
Other values (82) 166
43.7%
Common
ValueCountFrequency (%)
100
46.7%
1 21
 
9.8%
( 15
 
7.0%
) 15
 
7.0%
2 12
 
5.6%
3 8
 
3.7%
, 8
 
3.7%
7 7
 
3.3%
0 5
 
2.3%
5 5
 
2.3%
Other values (5) 18
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 380
64.0%
ASCII 214
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
46.7%
1 21
 
9.8%
( 15
 
7.0%
) 15
 
7.0%
2 12
 
5.6%
3 8
 
3.7%
, 8
 
3.7%
7 7
 
3.3%
0 5
 
2.3%
5 5
 
2.3%
Other values (5) 18
 
8.4%
Hangul
ValueCountFrequency (%)
산 28
 
7.4%
경 25
 
6.6%
남 25
 
6.6%
양 25
 
6.6%
도 23
 
6.1%
시 23
 
6.1%
상 23
 
6.1%
동 20
 
5.3%
로 13
 
3.4%
길 9
 
2.4%
Other values (82) 166
43.7%

규모(톤_일)
Real number (ℝ)

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean387.65217
Minimum60
Maximum2100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T02:09:19.361563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile73
Q1135
median250
Q3375
95-th percentile1892.7
Maximum2100
Range2040
Interquartile range (IQR)240

Descriptive statistics

Standard deviation545.19918
Coefficient of variation (CV)1.4064133
Kurtosis7.5962494
Mean387.65217
Median Absolute Deviation (MAD)130
Skewness2.8953674
Sum8916
Variance297242.15
MonotonicityNot monotonic
2023-12-13T02:09:19.514444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
400 3
 
13.0%
150 2
 
8.7%
200 1
 
4.3%
160 1
 
4.3%
2100 1
 
4.3%
70 1
 
4.3%
350 1
 
4.3%
275 1
 
4.3%
262 1
 
4.3%
180 1
 
4.3%
Other values (10) 10
43.5%
ValueCountFrequency (%)
60 1
4.3%
70 1
4.3%
100 1
4.3%
110 1
4.3%
116 1
4.3%
120 1
4.3%
150 2
8.7%
160 1
4.3%
180 1
4.3%
200 1
4.3%
ValueCountFrequency (%)
2100 1
 
4.3%
2053 1
 
4.3%
450 1
 
4.3%
400 3
13.0%
350 1
 
4.3%
300 1
 
4.3%
275 1
 
4.3%
262 1
 
4.3%
260 1
 
4.3%
250 1
 
4.3%

수질
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
음용수
15 
생활용수
8 

Length

Max length4
Median length3
Mean length3.3478261
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
음용수 15
65.2%
생활용수 8
34.8%

Length

2023-12-13T02:09:19.697052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:09:19.843899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음용수 15
65.2%
생활용수 8
34.8%

비고
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
공공시설
18 
정부지원시설
5 

Length

Max length6
Median length4
Mean length4.4347826
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공시설 18
78.3%
정부지원시설 5
 
21.7%

Length

2023-12-13T02:09:19.988972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:09:20.149169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공시설 18
78.3%
정부지원시설 5
 
21.7%

Interactions

2023-12-13T02:09:16.637256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:09:20.234804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호명칭시설 위치규모(톤_일)수질비고
관리번호1.0001.0001.0001.0001.0001.000
명칭1.0001.0001.0000.8061.0001.000
시설 위치1.0001.0001.0001.0001.0001.000
규모(톤_일)1.0000.8061.0001.0000.2330.193
수질1.0001.0001.0000.2331.0000.282
비고1.0001.0001.0000.1930.2821.000
2023-12-13T02:09:20.354193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수질비고
수질1.0000.177
비고0.1771.000
2023-12-13T02:09:20.486271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
규모(톤_일)수질비고
규모(톤_일)1.0000.3670.303
수질0.3671.0000.177
비고0.3030.1771.000

Missing values

2023-12-13T02:09:16.773858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:09:16.918033image/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

관리번호명칭시설 위치규모(톤_일)수질비고
0E199700005물금읍 서남체육공원경상남도 양산시 물금읍 동중7길 34-1200음용수정부지원시설
1E199700003하북면사무소경상남도 양산시 하북면 신평강변5길 12110음용수정부지원시설
2E199700001동면 계석마을회관 뒤경상남도 양산시 동면 계석3길 1-16250음용수정부지원시설
3E199900002양산시청경상남도 양산시 중앙로 39(남부동)120음용수정부지원시설
4E200400001원동초등학교 뒤경상남도 양산시 원동면 원동로 1506-72116음용수정부지원시설
5E199400007주공3차아파트경상남도 양산시 물금읍 동중1길 7(주공3차아파트)450음용수공공시설
6E199400006주공2차아파트경상남도 양산시 물금읍 동중1길 21(주공2차아파트)300음용수공공시설
7E199600003동중마을경상남도 양산시 물금읍 동중1길 20400생활용수공공시설
8E201800001성원아파트경상남도 양산시 물금읍 오봉로 179(성원아파트)60음용수공공시설
9E200700001동원과학기술대학교경상남도 양산시 명곡로 321(명곡동)100음용수공공시설
관리번호명칭시설 위치규모(톤_일)수질비고
13E201000008경남외고경상남도 양산시 어실로 388(어곡동, 경남외국어고등학교)400생활용수공공시설
14E200500001평산초등학교경상남도 양산시 평산중앙5길 11(평산동, 평산초등학교)150음용수공공시설
15E201000002태원아파트경상남도 양산시 신명로 73(평산동, 태원아파트)180음용수공공시설
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