Overview

Dataset statistics

Number of variables8
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory70.9 B

Variable types

Numeric3
Text2
Categorical3

Dataset

Description울산광역시 중구 관내 교통과에서 관리하는 공영주차장 명칭 및 위치안내, 관리부서, 관리부서 연락번호를 제공하는 데이터입니다.
Author울산광역시 중구
URLhttps://www.data.go.kr/data/15106756/fileData.do

Alerts

관리기관 소속 has constant value ""Constant
관리기관 전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
주차면수 is highly overall correlated with 면적High correlation
면적 is highly overall correlated with 주차면수High correlation
연번 has unique valuesUnique
주차장명 has unique valuesUnique
주차장 설립장소 has unique valuesUnique
면적 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:42:41.841175
Analysis finished2023-12-12 15:42:43.507856
Duration1.67 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.5
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-13T00:42:43.618987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median17.5
Q325.75
95-th percentile32.35
Maximum34
Range33
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.9582462
Coefficient of variation (CV)0.56904264
Kurtosis-1.2
Mean17.5
Median Absolute Deviation (MAD)8.5
Skewness0
Sum595
Variance99.166667
MonotonicityStrictly increasing
2023-12-13T00:42:43.859995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
27 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
28 1
 
2.9%
19 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%

주차장명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T00:42:44.139992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10.5
Mean length5.5294118
Min length2

Characters and Unicode

Total characters188
Distinct characters68
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

Unique34 ?
Unique (%)100.0%

Sample

1st row옥교
2nd row학성새벽시장(노외)
3rd row구역전시장
4th row우정1
5th row문화의거리
ValueCountFrequency (%)
하부 2
 
5.3%
옥교 1
 
2.6%
학성가구거리 1
 
2.6%
울산시장 1
 
2.6%
교동교 1
 
2.6%
희망 1
 
2.6%
백양교 1
 
2.6%
학성새벽시장(노외 1
 
2.6%
학성공원 1
 
2.6%
학성새벽시장 1
 
2.6%
Other values (27) 27
71.1%
2023-12-13T00:42:44.641650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
화 11
 
5.9%
원 10
 
5.3%
정 9
 
4.8%
태 9
 
4.8%
강 8
 
4.3%
가 8
 
4.3%
성 7
 
3.7%
장 7
 
3.7%
국 7
 
3.7%
시 7
 
3.7%
Other values (58) 105
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 167
88.8%
Decimal Number 9
 
4.8%
Close Punctuation 4
 
2.1%
Open Punctuation 4
 
2.1%
Space Separator 4
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 11
 
6.6%
원 10
 
6.0%
정 9
 
5.4%
태 9
 
5.4%
강 8
 
4.8%
가 8
 
4.8%
성 7
 
4.2%
장 7
 
4.2%
국 7
 
4.2%
시 7
 
4.2%
Other values (50) 84
50.3%
Decimal Number
ValueCountFrequency (%)
2 3
33.3%
1 3
33.3%
4 1
 
11.1%
3 1
 
11.1%
5 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 167
88.8%
Common 21
 
11.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 11
 
6.6%
원 10
 
6.0%
정 9
 
5.4%
태 9
 
5.4%
강 8
 
4.8%
가 8
 
4.8%
성 7
 
4.2%
장 7
 
4.2%
국 7
 
4.2%
시 7
 
4.2%
Other values (50) 84
50.3%
Common
ValueCountFrequency (%)
) 4
19.0%
( 4
19.0%
4
19.0%
2 3
14.3%
1 3
14.3%
4 1
 
4.8%
3 1
 
4.8%
5 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 167
88.8%
ASCII 21
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
화 11
 
6.6%
원 10
 
6.0%
정 9
 
5.4%
태 9
 
5.4%
강 8
 
4.8%
가 8
 
4.8%
성 7
 
4.2%
장 7
 
4.2%
국 7
 
4.2%
시 7
 
4.2%
Other values (50) 84
50.3%
ASCII
ValueCountFrequency (%)
) 4
19.0%
( 4
19.0%
4
19.0%
2 3
14.3%
1 3
14.3%
4 1
 
4.8%
3 1
 
4.8%
5 1
 
4.8%

주차장 설립장소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T00:42:44.975661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length15
Mean length12.058824
Min length6

Characters and Unicode

Total characters410
Distinct characters51
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

Unique34 ?
Unique (%)100.0%

Sample

1st row옥교동 94-2
2nd row학성동 364-1 일원
3rd row학성동 435-13
4th row우정동 277-4
5th row옥교동 234
ValueCountFrequency (%)
일원 7
 
9.0%
태화동 6
 
7.7%
학성동 5
 
6.4%
맞은편 4
 
5.1%
800번지 4
 
5.1%
성남동 3
 
3.8%
옥교동 3
 
3.8%
남외동 3
 
3.8%
우정동 2
 
2.6%
태화동338일원(구삼호교~명정천 1
 
1.3%
Other values (40) 40
51.3%
2023-12-13T00:42:45.465214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45
 
11.0%
동 35
 
8.5%
- 26
 
6.3%
1 23
 
5.6%
3 17
 
4.1%
번 17
 
4.1%
4 16
 
3.9%
2 16
 
3.9%
지 16
 
3.9%
0 14
 
3.4%
Other values (41) 185
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 189
46.1%
Decimal Number 139
33.9%
Space Separator 45
 
11.0%
Dash Punctuation 26
 
6.3%
Open Punctuation 5
 
1.2%
Close Punctuation 5
 
1.2%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 35
18.5%
번 17
 
9.0%
지 16
 
8.5%
원 13
 
6.9%
일 13
 
6.9%
화 11
 
5.8%
태 11
 
5.8%
성 8
 
4.2%
남 7
 
3.7%
학 6
 
3.2%
Other values (26) 52
27.5%
Decimal Number
ValueCountFrequency (%)
1 23
16.5%
3 17
12.2%
4 16
11.5%
2 16
11.5%
0 14
10.1%
7 14
10.1%
8 11
7.9%
6 11
7.9%
9 9
 
6.5%
5 8
 
5.8%
Space Separator
ValueCountFrequency (%)
45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 221
53.9%
Hangul 189
46.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 35
18.5%
번 17
 
9.0%
지 16
 
8.5%
원 13
 
6.9%
일 13
 
6.9%
화 11
 
5.8%
태 11
 
5.8%
성 8
 
4.2%
남 7
 
3.7%
학 6
 
3.2%
Other values (26) 52
27.5%
Common
ValueCountFrequency (%)
45
20.4%
- 26
11.8%
1 23
10.4%
3 17
 
7.7%
4 16
 
7.2%
2 16
 
7.2%
0 14
 
6.3%
7 14
 
6.3%
8 11
 
5.0%
6 11
 
5.0%
Other values (5) 28
12.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 221
53.9%
Hangul 189
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45
20.4%
- 26
11.8%
1 23
10.4%
3 17
 
7.7%
4 16
 
7.2%
2 16
 
7.2%
0 14
 
6.3%
7 14
 
6.3%
8 11
 
5.0%
6 11
 
5.0%
Other values (5) 28
12.7%
Hangul
ValueCountFrequency (%)
동 35
18.5%
번 17
 
9.0%
지 16
 
8.5%
원 13
 
6.9%
일 13
 
6.9%
화 11
 
5.8%
태 11
 
5.8%
성 8
 
4.2%
남 7
 
3.7%
학 6
 
3.2%
Other values (26) 52
27.5%

주차면수
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.91176
Minimum14
Maximum586
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-13T00:42:45.668843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile20.6
Q139.5
median67
Q3115.75
95-th percentile377.6
Maximum586
Range572
Interquartile range (IQR)76.25

Descriptive statistics

Standard deviation135.47836
Coefficient of variation (CV)1.1688059
Kurtosis5.8836032
Mean115.91176
Median Absolute Deviation (MAD)28.5
Skewness2.4097151
Sum3941
Variance18354.386
MonotonicityNot monotonic
2023-12-13T00:42:45.848613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
47 2
 
5.9%
25 2
 
5.9%
39 2
 
5.9%
586 1
 
2.9%
79 1
 
2.9%
75 1
 
2.9%
194 1
 
2.9%
288 1
 
2.9%
24 1
 
2.9%
93 1
 
2.9%
Other values (21) 21
61.8%
ValueCountFrequency (%)
14 1
2.9%
18 1
2.9%
22 1
2.9%
24 1
2.9%
25 2
5.9%
38 1
2.9%
39 2
5.9%
41 1
2.9%
47 2
5.9%
50 1
2.9%
ValueCountFrequency (%)
586 1
2.9%
544 1
2.9%
288 1
2.9%
268 1
2.9%
238 1
2.9%
237 1
2.9%
194 1
2.9%
127 1
2.9%
119 1
2.9%
106 1
2.9%

면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2898.1176
Minimum228
Maximum22336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-13T00:42:46.072097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum228
5-th percentile557.3
Q1844.5
median1900.5
Q32781
95-th percentile7799.15
Maximum22336
Range22108
Interquartile range (IQR)1936.5

Descriptive statistics

Standard deviation3993.3885
Coefficient of variation (CV)1.3779249
Kurtosis17.58444
Mean2898.1176
Median Absolute Deviation (MAD)1010
Skewness3.8835007
Sum98536
Variance15947152
MonotonicityNot monotonic
2023-12-13T00:42:46.266328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
10093 1
 
2.9%
478 1
 
2.9%
2840 1
 
2.9%
2881 1
 
2.9%
702 1
 
2.9%
2604 1
 
2.9%
600 1
 
2.9%
3072 1
 
2.9%
861 1
 
2.9%
2322 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
228 1
2.9%
478 1
2.9%
600 1
2.9%
662 1
2.9%
691 1
2.9%
702 1
2.9%
800 1
2.9%
804 1
2.9%
839 1
2.9%
861 1
2.9%
ValueCountFrequency (%)
22336 1
2.9%
10093 1
2.9%
6564 1
2.9%
6290 1
2.9%
5077 1
2.9%
3571 1
2.9%
3072 1
2.9%
2881 1
2.9%
2840 1
2.9%
2604 1
2.9%

관리기관 소속
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
교통과
34 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교통과 34
100.0%

Length

2023-12-13T00:42:46.454144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:42:46.595948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교통과 34
100.0%

관리기관 전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
052-290-3963
34 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row052-290-3963
2nd row052-290-3963
3rd row052-290-3963
4th row052-290-3963
5th row052-290-3963

Common Values

ValueCountFrequency (%)
052-290-3963 34
100.0%

Length

2023-12-13T00:42:46.771643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:42:46.908511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
052-290-3963 34
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-09-08
34 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-08
2nd row2023-09-08
3rd row2023-09-08
4th row2023-09-08
5th row2023-09-08

Common Values

ValueCountFrequency (%)
2023-09-08 34
100.0%

Length

2023-12-13T00:42:47.051653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:42:47.158564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-08 34
100.0%

Interactions

2023-12-13T00:42:42.779829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:42:42.083040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:42:42.393380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:42:42.931310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:42:42.189970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:42:42.498549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:42:43.051347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:42:42.289924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:42:42.631840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:42:47.227988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주차장명주차장 설립장소주차면수면적
연번1.0001.0001.0000.0000.384
주차장명1.0001.0001.0001.0001.000
주차장 설립장소1.0001.0001.0001.0001.000
주차면수0.0001.0001.0001.0000.891
면적0.3841.0001.0000.8911.000
2023-12-13T00:42:47.341866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주차면수면적
연번1.000-0.255-0.356
주차면수-0.2551.0000.927
면적-0.3560.9271.000

Missing values

2023-12-13T00:42:43.227057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:42:43.430839image/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

연번주차장명주차장 설립장소주차면수면적관리기관 소속관리기관 전화번호데이터기준일자
01옥교옥교동 94-258610093교통과052-290-39632023-09-08
12학성새벽시장(노외)학성동 364-1 일원411243교통과052-290-39632023-09-08
23구역전시장학성동 435-13632040교통과052-290-39632023-09-08
34우정1우정동 277-4832314교통과052-290-39632023-09-08
45문화의거리옥교동 2342372393교통과052-290-39632023-09-08
56반구반구동 448-91062296교통과052-290-39632023-09-08
67강북옥교동 72-31193571교통과052-290-39632023-09-08
78태화시장1태화동 24-422804교통과052-290-39632023-09-08
89성남성남동 190-2002686564교통과052-290-39632023-09-08
910도화공원복산동 205-1471285교통과052-290-39632023-09-08
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2425학성새벽시장 (노상)학성동 432-5539600교통과052-290-39632023-09-08
2526태화강국가정원(대공원노상)신기길49 일원2883072교통과052-290-39632023-09-08
2627학성공원학성동 196-1번지24478교통과052-290-39632023-09-08
2728백양교 하부교통 223-1번지 일원38861교통과052-290-39632023-09-08
2829희망약사동 762-6번지 일원892340교통과052-290-39632023-09-08
2930교동교 하부교동 156-1번지25800교통과052-290-39632023-09-08
3031울산시장학산동 54-7번지14228교통과052-290-39632023-09-08
3132우정2우정동 252-9번지651761교통과052-290-39632023-09-08
3233학성가구거리학성동 191-13번지 일원60662교통과052-290-39632023-09-08
3334학성로성남동 17-1번지 일원771568교통과052-290-39632023-09-08