Overview

Dataset statistics

Number of variables8
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory72.5 B

Variable types

Categorical2
Text2
Numeric3
DateTime1

Dataset

Description영천시 도시공원의 위치 및 공원 벤치 개수 현황입니다. 도시공원의 위도와 경도, 주소를 포함하고 있습니다. 공원 벤치는 정자와 파고라를 제외하고 벤치와 앉음벽을 합하여 계산하였습니다. 자료는 공원관리사업소에서 관리하고 있는 도시공원으로 한정하였습니다.
Author경상북도 영천시
URLhttps://www.data.go.kr/data/15099938/fileData.do

Alerts

구분 has constant value ""Constant
담당부서 has constant value ""Constant
기준일자 has constant value ""Constant
명칭 has unique valuesUnique
주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
개수 has 1 (4.2%) zerosZeros

Reproduction

Analysis started2023-12-12 19:03:01.006422
Analysis finished2023-12-12 19:03:03.969612
Duration2.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
도시공원
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도시공원 24
100.0%

Length

2023-12-13T04:03:04.074989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:03:04.266267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도시공원 24
100.0%

명칭
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-13T04:03:04.538920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length5.4166667
Min length4

Characters and Unicode

Total characters130
Distinct characters39
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row마현산공원
2nd row화룡공원
3rd row완산근린공원
4th row채신1공원
5th row채신2공원
ValueCountFrequency (%)
마현산공원 1
 
4.2%
화룡공원 1
 
4.2%
완산2공원 1
 
4.2%
완산1공원 1
 
4.2%
금노2소공원 1
 
4.2%
금노1공원(담안길공원 1
 
4.2%
중앙공원 1
 
4.2%
봉동공원 1
 
4.2%
금노2공원(주남공원 1
 
4.2%
도남공원 1
 
4.2%
Other values (14) 14
58.3%
2023-12-13T04:03:05.088740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 26
20.0%
원 26
20.0%
2 7
 
5.4%
1 6
 
4.6%
문 5
 
3.8%
산 4
 
3.1%
금 3
 
2.3%
화 3
 
2.3%
정 3
 
2.3%
완 3
 
2.3%
Other values (29) 44
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111
85.4%
Decimal Number 15
 
11.5%
Open Punctuation 2
 
1.5%
Close Punctuation 2
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 26
23.4%
원 26
23.4%
문 5
 
4.5%
산 4
 
3.6%
금 3
 
2.7%
화 3
 
2.7%
정 3
 
2.7%
완 3
 
2.7%
노 3
 
2.7%
외 3
 
2.7%
Other values (24) 32
28.8%
Decimal Number
ValueCountFrequency (%)
2 7
46.7%
1 6
40.0%
3 2
 
13.3%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111
85.4%
Common 19
 
14.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 26
23.4%
원 26
23.4%
문 5
 
4.5%
산 4
 
3.6%
금 3
 
2.7%
화 3
 
2.7%
정 3
 
2.7%
완 3
 
2.7%
노 3
 
2.7%
외 3
 
2.7%
Other values (24) 32
28.8%
Common
ValueCountFrequency (%)
2 7
36.8%
1 6
31.6%
3 2
 
10.5%
( 2
 
10.5%
) 2
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111
85.4%
ASCII 19
 
14.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 26
23.4%
원 26
23.4%
문 5
 
4.5%
산 4
 
3.6%
금 3
 
2.7%
화 3
 
2.7%
정 3
 
2.7%
완 3
 
2.7%
노 3
 
2.7%
외 3
 
2.7%
Other values (24) 32
28.8%
ASCII
ValueCountFrequency (%)
2 7
36.8%
1 6
31.6%
3 2
 
10.5%
( 2
 
10.5%
) 2
 
10.5%

주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-13T04:03:05.405531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18.5
Mean length17.625
Min length15

Characters and Unicode

Total characters423
Distinct characters42
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row경상북도 영천시 교촌동 11-36
2nd row경상북도 영천시 화룡동 산 43
3rd row경상북도 영천시 완산동 742-6
4th row경상북도 영천시 채신동 749-6
5th row경상북도 영천시 채신동 765-1
ValueCountFrequency (%)
경상북도 24
24.5%
영천시 24
24.5%
완산동 3
 
3.1%
망정동 3
 
3.1%
금노동 3
 
3.1%
야사동 3
 
3.1%
채신동 3
 
3.1%
문외동 3
 
3.1%
도남동 2
 
2.0%
155-1 1
 
1.0%
Other values (29) 29
29.6%
2023-12-13T04:03:06.050516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
74
17.5%
도 26
 
6.1%
경 24
 
5.7%
북 24
 
5.7%
영 24
 
5.7%
천 24
 
5.7%
시 24
 
5.7%
상 24
 
5.7%
동 24
 
5.7%
1 18
 
4.3%
Other values (32) 137
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 243
57.4%
Decimal Number 89
 
21.0%
Space Separator 74
 
17.5%
Dash Punctuation 17
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 26
10.7%
경 24
9.9%
북 24
9.9%
영 24
9.9%
천 24
9.9%
시 24
9.9%
상 24
9.9%
동 24
9.9%
산 4
 
1.6%
문 4
 
1.6%
Other values (20) 41
16.9%
Decimal Number
ValueCountFrequency (%)
1 18
20.2%
4 13
14.6%
6 12
13.5%
5 11
12.4%
7 11
12.4%
3 9
10.1%
2 6
 
6.7%
9 4
 
4.5%
8 3
 
3.4%
0 2
 
2.2%
Space Separator
ValueCountFrequency (%)
74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 243
57.4%
Common 180
42.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 26
10.7%
경 24
9.9%
북 24
9.9%
영 24
9.9%
천 24
9.9%
시 24
9.9%
상 24
9.9%
동 24
9.9%
산 4
 
1.6%
문 4
 
1.6%
Other values (20) 41
16.9%
Common
ValueCountFrequency (%)
74
41.1%
1 18
 
10.0%
- 17
 
9.4%
4 13
 
7.2%
6 12
 
6.7%
5 11
 
6.1%
7 11
 
6.1%
3 9
 
5.0%
2 6
 
3.3%
9 4
 
2.2%
Other values (2) 5
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 243
57.4%
ASCII 180
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
74
41.1%
1 18
 
10.0%
- 17
 
9.4%
4 13
 
7.2%
6 12
 
6.7%
5 11
 
6.1%
7 11
 
6.1%
3 9
 
5.0%
2 6
 
3.3%
9 4
 
2.2%
Other values (2) 5
 
2.8%
Hangul
ValueCountFrequency (%)
도 26
10.7%
경 24
9.9%
북 24
9.9%
영 24
9.9%
천 24
9.9%
시 24
9.9%
상 24
9.9%
동 24
9.9%
산 4
 
1.6%
문 4
 
1.6%
Other values (20) 41
16.9%

위도
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.461415
Minimum35.906884
Maximum95.962202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T04:03:06.297546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.906884
5-th percentile35.91183
Q135.960708
median35.971525
Q335.97417
95-th percentile35.989712
Maximum95.962202
Range60.055318
Interquartile range (IQR)0.0134617

Descriptive statistics

Standard deviation12.247639
Coefficient of variation (CV)0.31843965
Kurtosis23.999794
Mean38.461415
Median Absolute Deviation (MAD)0.00755015
Skewness4.8989492
Sum923.07395
Variance150.00467
MonotonicityNot monotonic
2023-12-13T04:03:06.559325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
35.9723852 1
 
4.2%
35.9742867 1
 
4.2%
35.967435 1
 
4.2%
35.9671561 1
 
4.2%
35.9670407 1
 
4.2%
95.9622016 1
 
4.2%
35.9611227 1
 
4.2%
35.9706653 1
 
4.2%
35.932942 1
 
4.2%
35.9594648 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
35.9068841 1
4.2%
35.9110048 1
4.2%
35.9165039 1
4.2%
35.9300822 1
4.2%
35.932942 1
4.2%
35.9594648 1
4.2%
35.9611227 1
4.2%
35.9627578 1
4.2%
35.9670407 1
4.2%
35.9671561 1
4.2%
ValueCountFrequency (%)
95.9622016 1
4.2%
35.9900279 1
4.2%
35.9879243 1
4.2%
35.9875102 1
4.2%
35.9778581 1
4.2%
35.9742867 1
4.2%
35.974131 1
4.2%
35.9741119 1
4.2%
35.9740904 1
4.2%
35.9735855 1
4.2%

경도
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.94104
Minimum128.92226
Maximum128.95645
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T04:03:06.806305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.92226
5-th percentile128.92659
Q1128.93257
median128.94135
Q3128.94812
95-th percentile128.95614
Maximum128.95645
Range0.034192
Interquartile range (IQR)0.01554975

Descriptive statistics

Standard deviation0.010336219
Coefficient of variation (CV)8.0162368 × 10-5
Kurtosis-1.0713196
Mean128.94104
Median Absolute Deviation (MAD)0.0089865
Skewness0.039665945
Sum3094.5849
Variance0.00010683742
MonotonicityNot monotonic
2023-12-13T04:03:07.083200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
128.926406 1
 
4.2%
128.931441 1
 
4.2%
128.932781 1
 
4.2%
128.941561 1
 
4.2%
128.946029 1
 
4.2%
128.927622 1
 
4.2%
128.930278 1
 
4.2%
128.935299 1
 
4.2%
128.941149 1
 
4.2%
128.931956 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
128.92226 1
4.2%
128.926406 1
4.2%
128.927622 1
4.2%
128.930278 1
4.2%
128.931441 1
4.2%
128.931956 1
4.2%
128.932781 1
4.2%
128.934996 1
4.2%
128.935299 1
4.2%
128.93719 1
4.2%
ValueCountFrequency (%)
128.956452 1
4.2%
128.956177 1
4.2%
128.955951 1
4.2%
128.954966 1
4.2%
128.95353 1
4.2%
128.952329 1
4.2%
128.946723 1
4.2%
128.9464 1
4.2%
128.946029 1
4.2%
128.943042 1
4.2%

개수
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2083333
Minimum0
Maximum32
Zeros1
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T04:03:07.398199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median6.5
Q312.75
95-th percentile21.85
Maximum32
Range32
Interquartile range (IQR)9.75

Descriptive statistics

Standard deviation8.1985108
Coefficient of variation (CV)0.89033602
Kurtosis1.0988522
Mean9.2083333
Median Absolute Deviation (MAD)4.5
Skewness1.238779
Sum221
Variance67.21558
MonotonicityNot monotonic
2023-12-13T04:03:07.626595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 4
16.7%
3 3
12.5%
21 2
8.3%
8 2
8.3%
11 2
8.3%
6 2
8.3%
4 2
8.3%
32 1
 
4.2%
16 1
 
4.2%
7 1
 
4.2%
Other values (4) 4
16.7%
ValueCountFrequency (%)
0 1
 
4.2%
2 4
16.7%
3 3
12.5%
4 2
8.3%
6 2
8.3%
7 1
 
4.2%
8 2
8.3%
11 2
8.3%
12 1
 
4.2%
15 1
 
4.2%
ValueCountFrequency (%)
32 1
4.2%
22 1
4.2%
21 2
8.3%
16 1
4.2%
15 1
4.2%
12 1
4.2%
11 2
8.3%
8 2
8.3%
7 1
4.2%
6 2
8.3%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
공원관리사업소
24 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공원관리사업소 24
100.0%

Length

2023-12-13T04:03:07.928415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:03:08.141854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공원관리사업소 24
100.0%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2022-04-18 00:00:00
Maximum2022-04-18 00:00:00
2023-12-13T04:03:08.331116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:08.503011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T04:03:02.236212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:01.281207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:01.674662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:02.518534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:01.408937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:01.820659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:02.951992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:01.540981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:01.961425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:03:08.632794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
명칭주소위도경도개수
명칭1.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.000
위도1.0001.0001.0000.4450.000
경도1.0001.0000.4451.0000.000
개수1.0001.0000.0000.0001.000
2023-12-13T04:03:09.287944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도개수
위도1.000-0.147-0.439
경도-0.1471.0000.080
개수-0.4390.0801.000

Missing values

2023-12-13T04:03:03.530563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:03:03.896677image/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

구분명칭주소위도경도개수담당부서기준일자
0도시공원마현산공원경상북도 영천시 교촌동 11-3635.972385128.92640621공원관리사업소2022-04-18
1도시공원화룡공원경상북도 영천시 화룡동 산 4335.977858128.922263공원관리사업소2022-04-18
2도시공원완산근린공원경상북도 영천시 완산동 742-635.962758128.9423132공원관리사업소2022-04-18
3도시공원채신1공원경상북도 영천시 채신동 749-635.916504128.9535316공원관리사업소2022-04-18
4도시공원채신2공원경상북도 영천시 채신동 765-135.911005128.9564528공원관리사업소2022-04-18
5도시공원채신3공원경상북도 영천시 채신동 76935.906884128.95496621공원관리사업소2022-04-18
6도시공원문화1공원경상북도 영천시 야사동 186-235.973585128.94643공원관리사업소2022-04-18
7도시공원문화2공원경상북도 영천시 야사동 186-535.974112128.9467232공원관리사업소2022-04-18
8도시공원망정1공원경상북도 영천시 망정동 518-435.987924128.95232911공원관리사업소2022-04-18
9도시공원망정2공원경상북도 영천시 망정동 409-1635.990028128.9559512공원관리사업소2022-04-18
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14도시공원문내외2공원경상북도 영천시 문외동 247-735.972779128.9349964공원관리사업소2022-04-18
15도시공원도남공원경상북도 영천시 도남동 173-235.930082128.938010공원관리사업소2022-04-18
16도시공원금노2공원(주남공원)경상북도 영천시 금노동 604-1735.959465128.93195612공원관리사업소2022-04-18
17도시공원봉동공원경상북도 영천시 도남동 76 일원35.932942128.94114922공원관리사업소2022-04-18
18도시공원중앙공원경상북도 영천시 문외동 155-135.970665128.93529915공원관리사업소2022-04-18
19도시공원금노1공원(담안길공원)경상북도 영천시 금노동 542-1335.961123128.9302782공원관리사업소2022-04-18
20도시공원금노2소공원경상북도 영천시 금노동 55695.962202128.9276222공원관리사업소2022-04-18
21도시공원완산1공원경상북도 영천시 완산동 147135.967041128.9460294공원관리사업소2022-04-18
22도시공원완산2공원경상북도 영천시 완산동 146535.967156128.9415618공원관리사업소2022-04-18
23도시공원조양공원경상북도 영천시 창구동 3235.967435128.9327816공원관리사업소2022-04-18