Overview

Dataset statistics

Number of variables8
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory70.4 B

Variable types

Text2
Categorical3
Numeric2
DateTime1

Dataset

Description울산시설공단 시설 내에서 운영되는 음용수 시설의 정보를 주소, 상세위치, 운영시간, 연락처, 위도,경도 등의 항목으로 제공합니다.
URLhttps://www.data.go.kr/data/15085197/fileData.do

Alerts

기준일자 has constant value ""Constant
연락처 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
운영시간 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
주소 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
위도 is highly overall correlated with 주소 and 2 other fieldsHigh correlation
경도 is highly overall correlated with 주소 and 2 other fieldsHigh correlation
시설명 has unique valuesUnique
상세위치 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:11:17.758279
Analysis finished2023-12-12 01:11:18.918758
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T10:11:19.130628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length11.9
Min length8

Characters and Unicode

Total characters357
Distinct characters87
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

Unique30 ?
Unique (%)100.0%

Sample

1st row울산체육공원(호반광장)
2nd row울산체육공원(호반화장실)
3rd row울산체육공원(북측매표소)
4th row울산체육공원(산책로)
5th row울산체육공원(보조경기장)
ValueCountFrequency (%)
울산체육공원(호반광장 1
 
3.3%
울산체육공원(호반화장실 1
 
3.3%
동천체육관(다목적구장 1
 
3.3%
동천체육관(분수대 1
 
3.3%
종합운동장(청소년공연장 1
 
3.3%
종합운동장(보조경기장 1
 
3.3%
울산대공원(동문농구장 1
 
3.3%
울산대공원(동물원원숭이전시장 1
 
3.3%
울산대공원(동물원중앙 1
 
3.3%
울산대공원(동물원 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T10:11:19.612611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
 
8.7%
( 29
 
8.1%
) 29
 
8.1%
27
 
7.6%
27
 
7.6%
24
 
6.7%
20
 
5.6%
18
 
5.0%
12
 
3.4%
9
 
2.5%
Other values (77) 131
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 299
83.8%
Open Punctuation 29
 
8.1%
Close Punctuation 29
 
8.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
31
 
10.4%
27
 
9.0%
27
 
9.0%
24
 
8.0%
20
 
6.7%
18
 
6.0%
12
 
4.0%
9
 
3.0%
9
 
3.0%
6
 
2.0%
Other values (75) 116
38.8%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 299
83.8%
Common 58
 
16.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
31
 
10.4%
27
 
9.0%
27
 
9.0%
24
 
8.0%
20
 
6.7%
18
 
6.0%
12
 
4.0%
9
 
3.0%
9
 
3.0%
6
 
2.0%
Other values (75) 116
38.8%
Common
ValueCountFrequency (%)
( 29
50.0%
) 29
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 299
83.8%
ASCII 58
 
16.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
31
 
10.4%
27
 
9.0%
27
 
9.0%
24
 
8.0%
20
 
6.7%
18
 
6.0%
12
 
4.0%
9
 
3.0%
9
 
3.0%
6
 
2.0%
Other values (75) 116
38.8%
ASCII
ValueCountFrequency (%)
( 29
50.0%
) 29
50.0%

주소
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
울산광역시 남구 대공원로 94
18 
울산광역시 남구 문수로 44
울산광역시 중구 염포로 55
울산광역시 중구 염포로 85
울산광역시 동구 등대로 100
 
1

Length

Max length17
Median length16
Mean length15.7
Min length15

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row울산광역시 남구 문수로 44
2nd row울산광역시 남구 문수로 44
3rd row울산광역시 남구 문수로 44
4th row울산광역시 남구 문수로 44
5th row울산광역시 남구 문수로 44

Common Values

ValueCountFrequency (%)
울산광역시 남구 대공원로 94 18
60.0%
울산광역시 남구 문수로 44 6
 
20.0%
울산광역시 중구 염포로 55 2
 
6.7%
울산광역시 중구 염포로 85 2
 
6.7%
울산광역시 동구 등대로 100 1
 
3.3%
울산광역시 중구 염포로 85-1 1
 
3.3%

Length

2023-12-12T10:11:19.829317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:11:19.995389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 30
25.0%
남구 24
20.0%
대공원로 18
15.0%
94 18
15.0%
문수로 6
 
5.0%
44 6
 
5.0%
중구 5
 
4.2%
염포로 5
 
4.2%
55 2
 
1.7%
85 2
 
1.7%
Other values (4) 4
 
3.3%

상세위치
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T10:11:20.251038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length8.0666667
Min length4

Characters and Unicode

Total characters242
Distinct characters96
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row호반광장 입구 옆
2nd row구호반화장실 입구
3rd row북측매표소 옆
4th row산책로 입구
5th row보조경기장 내
ValueCountFrequency (%)
입구 8
 
12.5%
4
 
6.2%
3
 
4.7%
3
 
4.7%
동물원 3
 
4.7%
동문 3
 
4.7%
다목적구장 2
 
3.1%
장미원 2
 
3.1%
보조경기장 2
 
3.1%
호반광장 1
 
1.6%
Other values (33) 33
51.6%
2023-12-12T10:11:20.724919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
14.5%
16
 
6.6%
12
 
5.0%
10
 
4.1%
8
 
3.3%
7
 
2.9%
5
 
2.1%
4
 
1.7%
4
 
1.7%
4
 
1.7%
Other values (86) 137
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 200
82.6%
Space Separator 35
 
14.5%
Close Punctuation 3
 
1.2%
Open Punctuation 3
 
1.2%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
16
 
8.0%
12
 
6.0%
10
 
5.0%
8
 
4.0%
7
 
3.5%
5
 
2.5%
4
 
2.0%
4
 
2.0%
4
 
2.0%
3
 
1.5%
Other values (82) 127
63.5%
Space Separator
ValueCountFrequency (%)
35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 200
82.6%
Common 42
 
17.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
16
 
8.0%
12
 
6.0%
10
 
5.0%
8
 
4.0%
7
 
3.5%
5
 
2.5%
4
 
2.0%
4
 
2.0%
4
 
2.0%
3
 
1.5%
Other values (82) 127
63.5%
Common
ValueCountFrequency (%)
35
83.3%
) 3
 
7.1%
( 3
 
7.1%
3 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 200
82.6%
ASCII 42
 
17.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
83.3%
) 3
 
7.1%
( 3
 
7.1%
3 1
 
2.4%
Hangul
ValueCountFrequency (%)
16
 
8.0%
12
 
6.0%
10
 
5.0%
8
 
4.0%
7
 
3.5%
5
 
2.5%
4
 
2.0%
4
 
2.0%
4
 
2.0%
3
 
1.5%
Other values (82) 127
63.5%

운영시간
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
09:00 ~ 18:00
18 
00:00 ~ 24:00
11 
10:00 ~ 18:00
 
1

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row00:00 ~ 24:00
2nd row00:00 ~ 24:00
3rd row00:00 ~ 24:00
4th row00:00 ~ 24:00
5th row00:00 ~ 24:00

Common Values

ValueCountFrequency (%)
09:00 ~ 18:00 18
60.0%
00:00 ~ 24:00 11
36.7%
10:00 ~ 18:00 1
 
3.3%

Length

2023-12-12T10:11:20.923744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:11:21.065231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30
33.3%
18:00 19
21.1%
09:00 18
20.0%
00:00 11
 
12.2%
24:00 11
 
12.2%
10:00 1
 
1.1%

연락처
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
052-271-8818
18 
052-220-2213
052-290-7200
052-232-0300
 
1

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row052-220-2213
2nd row052-220-2213
3rd row052-220-2213
4th row052-220-2213
5th row052-220-2213

Common Values

ValueCountFrequency (%)
052-271-8818 18
60.0%
052-220-2213 6
 
20.0%
052-290-7200 5
 
16.7%
052-232-0300 1
 
3.3%

Length

2023-12-12T10:11:21.218793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:11:21.359013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
052-271-8818 18
60.0%
052-220-2213 6
 
20.0%
052-290-7200 5
 
16.7%
052-232-0300 1
 
3.3%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.534684
Minimum35.488712
Maximum35.563116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:11:21.528289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.488712
5-th percentile35.527878
Q135.52926
median35.530153
Q335.534058
95-th percentile35.563025
Maximum35.563116
Range0.074404
Interquartile range (IQR)0.0047975

Descriptive statistics

Standard deviation0.0149194
Coefficient of variation (CV)0.00041985459
Kurtosis3.0265393
Mean35.534684
Median Absolute Deviation (MAD)0.0017915
Skewness0.071302161
Sum1066.0405
Variance0.0002225885
MonotonicityNot monotonic
2023-12-12T10:11:21.703993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
35.533951 1
 
3.3%
35.529317 1
 
3.3%
35.563116 1
 
3.3%
35.563063 1
 
3.3%
35.561425 1
 
3.3%
35.561225 1
 
3.3%
35.562979 1
 
3.3%
35.52907 1
 
3.3%
35.530125 1
 
3.3%
35.529769 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
35.488712 1
3.3%
35.52767 1
3.3%
35.528132 1
3.3%
35.528244 1
3.3%
35.52848 1
3.3%
35.528786 1
3.3%
35.52907 1
3.3%
35.529241 1
3.3%
35.529317 1
3.3%
35.529378 1
3.3%
ValueCountFrequency (%)
35.563116 1
3.3%
35.563063 1
3.3%
35.562979 1
3.3%
35.561425 1
3.3%
35.561225 1
3.3%
35.537346 1
3.3%
35.535631 1
3.3%
35.534093 1
3.3%
35.533951 1
3.3%
35.533926 1
3.3%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.299
Minimum129.25734
Maximum129.43776
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:11:21.885105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.25734
5-th percentile129.25869
Q1129.27751
median129.28713
Q3129.30766
95-th percentile129.3507
Maximum129.43776
Range0.180426
Interquartile range (IQR)0.03015

Descriptive statistics

Standard deviation0.039017918
Coefficient of variation (CV)0.00030176503
Kurtosis4.2837432
Mean129.299
Median Absolute Deviation (MAD)0.018862
Skewness1.7837468
Sum3878.9701
Variance0.0015223979
MonotonicityNot monotonic
2023-12-12T10:11:22.075936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
129.262135 1
 
3.3%
129.28671 1
 
3.3%
129.349786 1
 
3.3%
129.351441 1
 
3.3%
129.349401 1
 
3.3%
129.346153 1
 
3.3%
129.345846 1
 
3.3%
129.308137 1
 
3.3%
129.276192 1
 
3.3%
129.277284 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
129.257337 1
3.3%
129.257748 1
3.3%
129.259851 1
3.3%
129.261019 1
3.3%
129.261617 1
3.3%
129.262135 1
3.3%
129.276192 1
3.3%
129.277284 1
3.3%
129.278207 1
3.3%
129.280009 1
3.3%
ValueCountFrequency (%)
129.437763 1
3.3%
129.351441 1
3.3%
129.349786 1
3.3%
129.349401 1
3.3%
129.346153 1
3.3%
129.345846 1
3.3%
129.308137 1
3.3%
129.307943 1
3.3%
129.30683 1
3.3%
129.305162 1
3.3%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2023-07-04 00:00:00
Maximum2023-07-04 00:00:00
2023-12-12T10:11:22.235937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:11:22.339937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T10:11:18.417291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:11:18.185046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:11:18.566553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:11:18.296858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:11:22.421193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명주소상세위치운영시간연락처위도경도
시설명1.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0000.993
상세위치1.0001.0001.0001.0001.0001.0001.000
운영시간1.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.000
위도1.0001.0001.0001.0001.0001.0001.000
경도1.0000.9931.0001.0001.0001.0001.000
2023-12-12T10:11:22.827439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연락처운영시간주소
연락처1.0000.9810.961
운영시간0.9811.0000.943
주소0.9610.9431.000
2023-12-12T10:11:22.922849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도주소운영시간연락처
위도1.000-0.0110.9610.9811.000
경도-0.0111.0000.8710.9430.961
주소0.9610.8711.0000.9430.961
운영시간0.9810.9430.9431.0000.981
연락처1.0000.9610.9610.9811.000

Missing values

2023-12-12T10:11:18.700876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:11:18.865503image/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

시설명주소상세위치운영시간연락처위도경도기준일자
0울산체육공원(호반광장)울산광역시 남구 문수로 44호반광장 입구 옆00:00 ~ 24:00052-220-221335.533951129.2621352023-07-04
1울산체육공원(호반화장실)울산광역시 남구 문수로 44구호반화장실 입구00:00 ~ 24:00052-220-221335.535631129.2616172023-07-04
2울산체육공원(북측매표소)울산광역시 남구 문수로 44북측매표소 옆00:00 ~ 24:00052-220-221335.537346129.2598512023-07-04
3울산체육공원(산책로)울산광역시 남구 문수로 44산책로 입구00:00 ~ 24:00052-220-221335.533926129.2573372023-07-04
4울산체육공원(보조경기장)울산광역시 남구 문수로 44보조경기장 내00:00 ~ 24:00052-220-221335.533442129.2577482023-07-04
5울산체육공원(풋살장)울산광역시 남구 문수로 44풋살장 앞00:00 ~ 24:00052-220-221335.534093129.2610192023-07-04
6대왕별아이누리(야외놀이터)울산광역시 동구 등대로 100야외놀이터 내10:00 ~ 18:00052-232-030035.488712129.4377632023-07-04
7울산대공원(호랑이발테라스)울산광역시 남구 대공원로 94호랑이발테라스(하부 풍요의 못)09:00 ~ 18:00052-271-881835.529241129.2957112023-07-04
8울산대공원(잉어연못)울산광역시 남구 대공원로 94잉어연못09:00 ~ 18:00052-271-881835.529903129.3037742023-07-04
9울산대공원(다목적구장)울산광역시 남구 대공원로 94다목적구장 (3개)09:00 ~ 18:00052-271-881835.528244129.3051622023-07-04
시설명주소상세위치운영시간연락처위도경도기준일자
20울산대공원(장미원화장실)울산광역시 남구 대공원로 94장미원 화장실09:00 ~ 18:00052-271-881835.528786129.2800092023-07-04
21울산대공원(동물원)울산광역시 남구 대공원로 94동물원 입구09:00 ~ 18:00052-271-881835.529378129.2782072023-07-04
22울산대공원(동물원중앙)울산광역시 남구 대공원로 94동물원 중앙09:00 ~ 18:00052-271-881835.529769129.2772842023-07-04
23울산대공원(동물원원숭이전시장)울산광역시 남구 대공원로 94동물원 원숭이 전시장 앞09:00 ~ 18:00052-271-881835.530125129.2761922023-07-04
24울산대공원(동문농구장)울산광역시 남구 대공원로 94동문 농구장 내09:00 ~ 18:00052-271-881835.52907129.3081372023-07-04
25종합운동장(보조경기장)울산광역시 중구 염포로 55보조경기장 옥외화장실 서쪽00:00 ~ 24:00052-290-720035.562979129.3458462023-07-04
26종합운동장(청소년공연장)울산광역시 중구 염포로 55청소년공연장 북동쪽00:00 ~ 24:00052-290-720035.561225129.3461532023-07-04
27동천체육관(분수대)울산광역시 중구 염포로 85동천체육관 남서쪽 분수대 옆00:00 ~ 24:00052-290-720035.561425129.3494012023-07-04
28동천체육관(다목적구장)울산광역시 중구 염포로 85다목적구장 입구 앞00:00 ~ 24:00052-290-720035.563063129.3514412023-07-04
29동천국민체육센터울산광역시 중구 염포로 85-1동천국민체육센터 입구 앞00:00 ~ 24:00052-290-720035.563116129.3497862023-07-04