Overview

Dataset statistics

Number of variables7
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory62.7 B

Variable types

Numeric2
Text2
Categorical3

Dataset

Description경기도 양주시 도시숲 및 학교숲 조성현황에 관한 데이터로 조성년도, 공원명, 주소, 면적 등의 내용을 포함하고 있습니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/3077194/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
공원명 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:56:23.028172
Analysis finished2024-04-21 01:56:24.581393
Duration1.55 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

조성년도
Real number (ℝ)

Distinct10
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.8889
Minimum2014
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-04-21T10:56:24.707496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2014
5-th percentile2014.3
Q12017
median2019
Q32021
95-th percentile2022.7
Maximum2023
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.6650636
Coefficient of variation (CV)0.0013200645
Kurtosis-0.78621121
Mean2018.8889
Median Absolute Deviation (MAD)2
Skewness-0.25325694
Sum54510
Variance7.1025641
MonotonicityIncreasing
2024-04-21T10:56:25.099024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2019 5
18.5%
2022 4
14.8%
2017 3
11.1%
2018 3
11.1%
2020 3
11.1%
2014 2
 
7.4%
2015 2
 
7.4%
2021 2
 
7.4%
2023 2
 
7.4%
2016 1
 
3.7%
ValueCountFrequency (%)
2014 2
 
7.4%
2015 2
 
7.4%
2016 1
 
3.7%
2017 3
11.1%
2018 3
11.1%
2019 5
18.5%
2020 3
11.1%
2021 2
 
7.4%
2022 4
14.8%
2023 2
 
7.4%
ValueCountFrequency (%)
2023 2
 
7.4%
2022 4
14.8%
2021 2
 
7.4%
2020 3
11.1%
2019 5
18.5%
2018 3
11.1%
2017 3
11.1%
2016 1
 
3.7%
2015 2
 
7.4%
2014 2
 
7.4%

공원명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-04-21T10:56:25.624204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length8.8148148
Min length7

Characters and Unicode

Total characters238
Distinct characters64
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row봉암리 쌈지공원
2nd row남방동 쌈지공원
3rd row장흥관광지 쌈지공원
4th row봉양동 도로변 쌈지공원
5th row덕정동 쌈지공원
ValueCountFrequency (%)
쌈지공원 20
35.1%
도시숲 6
 
10.5%
부곡리 1
 
1.8%
일영2교 1
 
1.8%
선암 1
 
1.8%
울대 1
 
1.8%
장거리 1
 
1.8%
벚꽃 1
 
1.8%
봉암리 1
 
1.8%
봉양교차로 1
 
1.8%
Other values (23) 23
40.4%
2024-04-21T10:56:26.411486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
12.6%
지 23
 
9.7%
쌈 20
 
8.4%
공 20
 
8.4%
원 20
 
8.4%
동 8
 
3.4%
리 7
 
2.9%
숲 7
 
2.9%
도 7
 
2.9%
시 6
 
2.5%
Other values (54) 90
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 198
83.2%
Space Separator 30
 
12.6%
Decimal Number 8
 
3.4%
Uppercase Letter 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 23
 
11.6%
쌈 20
 
10.1%
공 20
 
10.1%
원 20
 
10.1%
동 8
 
4.0%
리 7
 
3.5%
숲 7
 
3.5%
도 7
 
3.5%
시 6
 
3.0%
교 5
 
2.5%
Other values (47) 75
37.9%
Decimal Number
ValueCountFrequency (%)
3 3
37.5%
0 2
25.0%
2 2
25.0%
1 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 198
83.2%
Common 38
 
16.0%
Latin 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 23
 
11.6%
쌈 20
 
10.1%
공 20
 
10.1%
원 20
 
10.1%
동 8
 
4.0%
리 7
 
3.5%
숲 7
 
3.5%
도 7
 
3.5%
시 6
 
3.0%
교 5
 
2.5%
Other values (47) 75
37.9%
Common
ValueCountFrequency (%)
30
78.9%
3 3
 
7.9%
0 2
 
5.3%
2 2
 
5.3%
1 1
 
2.6%
Latin
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 198
83.2%
ASCII 40
 
16.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30
75.0%
3 3
 
7.5%
0 2
 
5.0%
2 2
 
5.0%
I 1
 
2.5%
1 1
 
2.5%
C 1
 
2.5%
Hangul
ValueCountFrequency (%)
지 23
 
11.6%
쌈 20
 
10.1%
공 20
 
10.1%
원 20
 
10.1%
동 8
 
4.0%
리 7
 
3.5%
숲 7
 
3.5%
도 7
 
3.5%
시 6
 
3.0%
교 5
 
2.5%
Other values (47) 75
37.9%

주소
Text

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-04-21T10:56:27.080733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length21.037037
Min length15

Characters and Unicode

Total characters568
Distinct characters57
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

Unique25 ?
Unique (%)92.6%

Sample

1st row경기도 양주시 은현면 봉암리 196-8, 일원
2nd row경기도 양주시 남방동 10-1, 일원
3rd row경기도 양주시 장흥면 석현리 389-6, 일원
4th row경기도 양주시 봉양동 850-1, 일원
5th row경기도 양주시 덕정동 286-48
ValueCountFrequency (%)
경기도 27
19.6%
양주시 27
19.6%
일원 19
13.8%
장흥면 7
 
5.1%
삼숭동 5
 
3.6%
봉양동 3
 
2.2%
석현리 3
 
2.2%
마전동 2
 
1.4%
산 2
 
1.4%
백석읍 2
 
1.4%
Other values (40) 41
29.7%
2024-04-21T10:56:28.170792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
19.5%
양 30
 
5.3%
경 27
 
4.8%
도 27
 
4.8%
주 27
 
4.8%
시 27
 
4.8%
기 27
 
4.8%
1 22
 
3.9%
- 22
 
3.9%
일 20
 
3.5%
Other values (47) 228
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 311
54.8%
Space Separator 111
 
19.5%
Decimal Number 110
 
19.4%
Dash Punctuation 22
 
3.9%
Other Punctuation 14
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 30
 
9.6%
경 27
 
8.7%
도 27
 
8.7%
주 27
 
8.7%
시 27
 
8.7%
기 27
 
8.7%
일 20
 
6.4%
원 19
 
6.1%
동 16
 
5.1%
리 10
 
3.2%
Other values (34) 81
26.0%
Decimal Number
ValueCountFrequency (%)
1 22
20.0%
8 13
11.8%
2 11
10.0%
0 11
10.0%
4 11
10.0%
3 11
10.0%
6 10
9.1%
5 9
8.2%
9 8
 
7.3%
7 4
 
3.6%
Space Separator
ValueCountFrequency (%)
111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 311
54.8%
Common 257
45.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 30
 
9.6%
경 27
 
8.7%
도 27
 
8.7%
주 27
 
8.7%
시 27
 
8.7%
기 27
 
8.7%
일 20
 
6.4%
원 19
 
6.1%
동 16
 
5.1%
리 10
 
3.2%
Other values (34) 81
26.0%
Common
ValueCountFrequency (%)
111
43.2%
1 22
 
8.6%
- 22
 
8.6%
, 14
 
5.4%
8 13
 
5.1%
2 11
 
4.3%
0 11
 
4.3%
4 11
 
4.3%
3 11
 
4.3%
6 10
 
3.9%
Other values (3) 21
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 311
54.8%
ASCII 257
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
43.2%
1 22
 
8.6%
- 22
 
8.6%
, 14
 
5.4%
8 13
 
5.1%
2 11
 
4.3%
0 11
 
4.3%
4 11
 
4.3%
3 11
 
4.3%
6 10
 
3.9%
Other values (3) 21
 
8.2%
Hangul
ValueCountFrequency (%)
양 30
 
9.6%
경 27
 
8.7%
도 27
 
8.7%
주 27
 
8.7%
시 27
 
8.7%
기 27
 
8.7%
일 20
 
6.4%
원 19
 
6.1%
동 16
 
5.1%
리 10
 
3.2%
Other values (34) 81
26.0%

면적(제곱미터)
Real number (ℝ)

Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2420.1037
Minimum83
Maximum11103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-04-21T10:56:28.548160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83
5-th percentile311.4
Q1840
median1400
Q32780
95-th percentile8137.24
Maximum11103
Range11020
Interquartile range (IQR)1940

Descriptive statistics

Standard deviation2756.0238
Coefficient of variation (CV)1.138804
Kurtosis3.2295653
Mean2420.1037
Median Absolute Deviation (MAD)760
Skewness1.9116503
Sum65342.8
Variance7595667.3
MonotonicityNot monotonic
2024-04-21T10:56:28.926907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1400.0 2
 
7.4%
1000.0 2
 
7.4%
1100.0 1
 
3.7%
5447.0 1
 
3.7%
946.0 1
 
3.7%
7290.8 1
 
3.7%
4000.0 1
 
3.7%
1500.0 1
 
3.7%
8500.0 1
 
3.7%
1006.0 1
 
3.7%
Other values (15) 15
55.6%
ValueCountFrequency (%)
83.0 1
3.7%
252.0 1
3.7%
450.0 1
3.7%
510.0 1
3.7%
598.0 1
3.7%
600.0 1
3.7%
775.0 1
3.7%
905.0 1
3.7%
946.0 1
3.7%
1000.0 2
7.4%
ValueCountFrequency (%)
11103.0 1
3.7%
8500.0 1
3.7%
7290.8 1
3.7%
5447.0 1
3.7%
4676.0 1
3.7%
4000.0 1
3.7%
3400.0 1
3.7%
2160.0 1
3.7%
1880.0 1
3.7%
1824.0 1
3.7%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size344.0 B
공원사업과
27 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공원사업과 27
100.0%

Length

2024-04-21T10:56:29.312065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:56:29.602395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공원사업과 27
100.0%

관리기관 전화번호
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size344.0 B
031-8082-7303
20 
031-8082-7304
6 
031-8082-7305
 
1

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row031-8082-7303
2nd row031-8082-7303
3rd row031-8082-7303
4th row031-8082-7303
5th row031-8082-7303

Common Values

ValueCountFrequency (%)
031-8082-7303 20
74.1%
031-8082-7304 6
 
22.2%
031-8082-7305 1
 
3.7%

Length

2024-04-21T10:56:29.903300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:56:30.210679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-8082-7303 20
74.1%
031-8082-7304 6
 
22.2%
031-8082-7305 1
 
3.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size344.0 B
2023-06-21
27 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-21
2nd row2023-06-21
3rd row2023-06-21
4th row2023-06-21
5th row2023-06-21

Common Values

ValueCountFrequency (%)
2023-06-21 27
100.0%

Length

2024-04-21T10:56:30.544857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:56:30.837231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-21 27
100.0%

Interactions

2024-04-21T10:56:23.818097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:56:23.350216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:56:24.026364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:56:23.577750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:56:31.010513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조성년도공원명주소면적(제곱미터)관리기관 전화번호
조성년도1.0001.0000.8830.0000.000
공원명1.0001.0001.0001.0001.000
주소0.8831.0001.0001.0001.000
면적(제곱미터)0.0001.0001.0001.0000.305
관리기관 전화번호0.0001.0001.0000.3051.000
2024-04-21T10:56:31.272191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조성년도면적(제곱미터)관리기관 전화번호
조성년도1.0000.4360.000
면적(제곱미터)0.4361.0000.173
관리기관 전화번호0.0000.1731.000

Missing values

2024-04-21T10:56:24.229428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:56:24.472228image/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

조성년도공원명주소면적(제곱미터)관리기관명관리기관 전화번호데이터기준일자
02014봉암리 쌈지공원경기도 양주시 은현면 봉암리 196-8, 일원1100.0공원사업과031-8082-73032023-06-21
12014남방동 쌈지공원경기도 양주시 남방동 10-1, 일원450.0공원사업과031-8082-73032023-06-21
22015장흥관광지 쌈지공원경기도 양주시 장흥면 석현리 389-6, 일원1400.0공원사업과031-8082-73032023-06-21
32015봉양동 도로변 쌈지공원경기도 양주시 봉양동 850-1, 일원600.0공원사업과031-8082-73032023-06-21
42016덕정동 쌈지공원경기도 양주시 덕정동 286-4883.0공원사업과031-8082-73032023-06-21
52017삼숭310 쌈지공원경기도 양주시 삼숭동 310-19, 일원252.0공원사업과031-8082-73032023-06-21
62017복지303 쌈지공원경기도 양주시 백석읍 복지리 303-151824.0공원사업과031-8082-73032023-06-21
72017장흥관광지2 쌈지공원경기도 양주시 장흥면 석현리 389-6, 일원1400.0공원사업과031-8082-73032023-06-21
82018교현리 쌈지공원경기도 양주시 장흥면 교현리 227, 일원775.0공원사업과031-8082-73032023-06-21
92018옥정하수처리장 앞 쌈지공원경기도 양주시 봉양동 954-109, 일원510.0공원사업과031-8082-73032023-06-21
조성년도공원명주소면적(제곱미터)관리기관명관리기관 전화번호데이터기준일자
172020울대 쌈지공원경기도 양주시 장흥면 울대리 284-6, 일원1537.0공원사업과031-8082-73032023-06-21
182020장거리 벚꽃 도시숲경기도 양주시 삼숭동 678-8, 일원3400.0공원사업과031-8082-73042023-06-21
192021부곡리 쌈지공원경기도 양주시 장흥면 340-26, 일원1006.0공원사업과031-8082-73032023-06-21
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