Overview

Dataset statistics

Number of variables7
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory60.9 B

Variable types

Categorical2
Text2
DateTime2
Numeric1

Dataset

Description제주특별자치도 서귀포시에서 진행하는 도시숲조성 관련 사업구분, 사업명, 사업비, 사업내용 등 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15064359/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
사업명 has unique valuesUnique
사업내용 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:23:32.668398
Analysis finished2023-12-12 17:23:33.882122
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업구분
Categorical

Distinct6
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size404.0 B
녹색쉼터 조성
15 
가로숲길 조성
7 
가로숲길 정비
4 
학교숲 조성
4 
녹지대 복층립 조성
2 

Length

Max length10
Median length7
Mean length7.1764706
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row녹색쉼터 조성
2nd row녹색쉼터 조성
3rd row녹색쉼터 조성
4th row녹색쉼터 조성
5th row녹색쉼터 조성

Common Values

ValueCountFrequency (%)
녹색쉼터 조성 15
44.1%
가로숲길 조성 7
20.6%
가로숲길 정비 4
 
11.8%
학교숲 조성 4
 
11.8%
녹지대 복층립 조성 2
 
5.9%
명상숲 조성사업 2
 
5.9%

Length

2023-12-13T02:23:33.980319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:23:34.128754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조성 28
40.0%
녹색쉼터 15
21.4%
가로숲길 11
 
15.7%
정비 4
 
5.7%
학교숲 4
 
5.7%
녹지대 2
 
2.9%
복층립 2
 
2.9%
명상숲 2
 
2.9%
조성사업 2
 
2.9%

사업명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T02:23:34.449333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length12.882353
Min length5

Characters and Unicode

Total characters438
Distinct characters102
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

Unique34 ?
Unique (%)100.0%

Sample

1st row고성리 마을쉼터조성사업
2nd row생활권주변 도시숲 조성사업
3rd row읍면지역 교통섬
4th row서부지역 도시숲 조성사업
5th row남조로 등 도시숲 조성사업
ValueCountFrequency (%)
조성사업 16
 
16.3%
도시숲 12
 
12.2%
가로수 6
 
6.1%
학교숲 4
 
4.1%
일주동로 3
 
3.1%
가로숲길 2
 
2.0%
복층화사업 2
 
2.0%
쉼터조성 2
 
2.0%
식재사업 2
 
2.0%
보목초등학교 1
 
1.0%
Other values (48) 48
49.0%
2023-12-13T02:23:35.067003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
 
15.1%
사 25
 
5.7%
업 25
 
5.7%
성 24
 
5.5%
조 22
 
5.0%
로 22
 
5.0%
숲 19
 
4.3%
도 15
 
3.4%
시 13
 
3.0%
교 10
 
2.3%
Other values (92) 197
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 368
84.0%
Space Separator 66
 
15.1%
Decimal Number 3
 
0.7%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 25
 
6.8%
업 25
 
6.8%
성 24
 
6.5%
조 22
 
6.0%
로 22
 
6.0%
숲 19
 
5.2%
도 15
 
4.1%
시 13
 
3.5%
교 10
 
2.7%
가 10
 
2.7%
Other values (87) 183
49.7%
Decimal Number
ValueCountFrequency (%)
8 1
33.3%
2 1
33.3%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
66
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 368
84.0%
Common 70
 
16.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 25
 
6.8%
업 25
 
6.8%
성 24
 
6.5%
조 22
 
6.0%
로 22
 
6.0%
숲 19
 
5.2%
도 15
 
4.1%
시 13
 
3.5%
교 10
 
2.7%
가 10
 
2.7%
Other values (87) 183
49.7%
Common
ValueCountFrequency (%)
66
94.3%
, 1
 
1.4%
8 1
 
1.4%
2 1
 
1.4%
4 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 368
84.0%
ASCII 70
 
16.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
94.3%
, 1
 
1.4%
8 1
 
1.4%
2 1
 
1.4%
4 1
 
1.4%
Hangul
ValueCountFrequency (%)
사 25
 
6.8%
업 25
 
6.8%
성 24
 
6.5%
조 22
 
6.0%
로 22
 
6.0%
숲 19
 
5.2%
도 15
 
4.1%
시 13
 
3.5%
교 10
 
2.7%
가 10
 
2.7%
Other values (87) 183
49.7%

사업시작일
Date

Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2019-02-14 00:00:00
Maximum2022-11-09 00:00:00
2023-12-13T02:23:35.280395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:23:35.468108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

사업종료일
Date

Distinct30
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2019-03-25 00:00:00
Maximum2022-12-16 00:00:00
2023-12-13T02:23:35.663039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:23:35.909231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

사업비(백만원)
Real number (ℝ)

Distinct29
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.05882
Minimum23
Maximum325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-13T02:23:36.129380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile34.95
Q155.75
median93.5
Q3172
95-th percentile287.95
Maximum325
Range302
Interquartile range (IQR)116.25

Descriptive statistics

Standard deviation79.716901
Coefficient of variation (CV)0.66955895
Kurtosis0.61595069
Mean119.05882
Median Absolute Deviation (MAD)50.5
Skewness1.0836016
Sum4048
Variance6354.7843
MonotonicityNot monotonic
2023-12-13T02:23:36.321069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
94 2
 
5.9%
42 2
 
5.9%
172 2
 
5.9%
181 2
 
5.9%
178 2
 
5.9%
89 1
 
2.9%
58 1
 
2.9%
55 1
 
2.9%
60 1
 
2.9%
81 1
 
2.9%
Other values (19) 19
55.9%
ValueCountFrequency (%)
23 1
2.9%
33 1
2.9%
36 1
2.9%
42 2
5.9%
44 1
2.9%
50 1
2.9%
54 1
2.9%
55 1
2.9%
58 1
2.9%
60 1
2.9%
ValueCountFrequency (%)
325 1
2.9%
312 1
2.9%
275 1
2.9%
219 1
2.9%
181 2
5.9%
178 2
5.9%
172 2
5.9%
169 1
2.9%
167 1
2.9%
115 1
2.9%

사업내용
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T02:23:36.679639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length40.5
Mean length31.352941
Min length8

Characters and Unicode

Total characters1066
Distinct characters130
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
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 row먼나무외 9종 462본. 초화류 3419본. 정자 1개소. 파고라 2개소 등
2nd row애기동백 800본. 종가시 40본. 산수국 115본
3rd row꽃댕강. 눈향나무. 돈나무 등 7종 405본. 초화류 24543본
4th row후박나무. 왕벚나무. 팽나무 등 16종 16149본. 초화류 6종 9130본
5th row애기동백 812본
ValueCountFrequency (%)
초화류 18
 
7.3%
등 15
 
6.0%
외 13
 
5.2%
1개소 7
 
2.8%
퍼걸러 6
 
2.4%
식재 5
 
2.0%
벤치 5
 
2.0%
4종 4
 
1.6%
애기동백 4
 
1.6%
왕벚나무 4
 
1.6%
Other values (135) 167
67.3%
2023-12-13T02:23:37.219376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
220
20.6%
. 64
 
6.0%
본 50
 
4.7%
1 45
 
4.2%
2 35
 
3.3%
0 32
 
3.0%
3 31
 
2.9%
종 31
 
2.9%
4 23
 
2.2%
6 22
 
2.1%
Other values (120) 513
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 517
48.5%
Decimal Number 254
23.8%
Space Separator 220
20.6%
Other Punctuation 71
 
6.7%
Other Symbol 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
본 50
 
9.7%
종 31
 
6.0%
외 22
 
4.3%
나 21
 
4.1%
무 21
 
4.1%
화 20
 
3.9%
류 19
 
3.7%
초 18
 
3.5%
등 16
 
3.1%
개 13
 
2.5%
Other values (104) 286
55.3%
Decimal Number
ValueCountFrequency (%)
1 45
17.7%
2 35
13.8%
0 32
12.6%
3 31
12.2%
4 23
9.1%
6 22
8.7%
5 22
8.7%
9 20
7.9%
8 12
 
4.7%
7 12
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 64
90.1%
, 7
 
9.9%
Space Separator
ValueCountFrequency (%)
220
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 549
51.5%
Hangul 517
48.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
본 50
 
9.7%
종 31
 
6.0%
외 22
 
4.3%
나 21
 
4.1%
무 21
 
4.1%
화 20
 
3.9%
류 19
 
3.7%
초 18
 
3.5%
등 16
 
3.1%
개 13
 
2.5%
Other values (104) 286
55.3%
Common
ValueCountFrequency (%)
220
40.1%
. 64
 
11.7%
1 45
 
8.2%
2 35
 
6.4%
0 32
 
5.8%
3 31
 
5.6%
4 23
 
4.2%
6 22
 
4.0%
5 22
 
4.0%
9 20
 
3.6%
Other values (6) 35
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 547
51.3%
Hangul 517
48.5%
CJK Compat 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
220
40.2%
. 64
 
11.7%
1 45
 
8.2%
2 35
 
6.4%
0 32
 
5.9%
3 31
 
5.7%
4 23
 
4.2%
6 22
 
4.0%
5 22
 
4.0%
9 20
 
3.7%
Other values (5) 33
 
6.0%
Hangul
ValueCountFrequency (%)
본 50
 
9.7%
종 31
 
6.0%
외 22
 
4.3%
나 21
 
4.1%
무 21
 
4.1%
화 20
 
3.9%
류 19
 
3.7%
초 18
 
3.5%
등 16
 
3.1%
개 13
 
2.5%
Other values (104) 286
55.3%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2022-12-31
34 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-31
2nd row2022-12-31
3rd row2022-12-31
4th row2022-12-31
5th row2022-12-31

Common Values

ValueCountFrequency (%)
2022-12-31 34
100.0%

Length

2023-12-13T02:23:37.397281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:23:37.529673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-31 34
100.0%

Interactions

2023-12-13T02:23:33.468574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:23:37.610635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업구분사업명사업시작일사업종료일사업비(백만원)사업내용
사업구분1.0001.0001.0000.9660.4461.000
사업명1.0001.0001.0001.0001.0001.000
사업시작일1.0001.0001.0000.9211.0001.000
사업종료일0.9661.0000.9211.0000.8231.000
사업비(백만원)0.4461.0001.0000.8231.0001.000
사업내용1.0001.0001.0001.0001.0001.000
2023-12-13T02:23:37.735634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업비(백만원)사업구분
사업비(백만원)1.0000.208
사업구분0.2081.000

Missing values

2023-12-13T02:23:33.647024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:23:33.831942image/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

사업구분사업명사업시작일사업종료일사업비(백만원)사업내용데이터기준일자
0녹색쉼터 조성고성리 마을쉼터조성사업2019-02-142019-03-2585먼나무외 9종 462본. 초화류 3419본. 정자 1개소. 파고라 2개소 등2022-12-31
1녹색쉼터 조성생활권주변 도시숲 조성사업2019-03-202019-04-1836애기동백 800본. 종가시 40본. 산수국 115본2022-12-31
2녹색쉼터 조성읍면지역 교통섬2019-05-022019-06-10111꽃댕강. 눈향나무. 돈나무 등 7종 405본. 초화류 24543본2022-12-31
3녹색쉼터 조성서부지역 도시숲 조성사업2019-05-012019-06-28312후박나무. 왕벚나무. 팽나무 등 16종 16149본. 초화류 6종 9130본2022-12-31
4녹색쉼터 조성남조로 등 도시숲 조성사업2019-05-202019-06-1842애기동백 812본2022-12-31
5녹지대 복층립 조성가로수 복층화 및 식수대보완사업2019-06-272019-10-07115박태기. 남천. 수수꽃다리. 참꽃 등 10종 579본. 초화류 33945본2022-12-31
6녹지대 복층립 조성신시가지 일주동로 가로수 복층화사업2019-11-272019-12-1642미니배롱외 3종 1035본2022-12-31
7가로숲길 조성일주동로 가로숲길 조성사업2019-11-212019-12-21172먼나무. 꽝꽝나무 등 5종 419본. 초화류 30종 22747본2022-12-31
8가로숲길 조성상예2동 존제로 가로수 식재사업2019-10-232019-11-1823왕벚나무 80본2022-12-31
9가로숲길 조성번영로 도시숲 보완사업2019-10-302019-12-08167팽나무외 4종. 213본2022-12-31
사업구분사업명사업시작일사업종료일사업비(백만원)사업내용데이터기준일자
24학교숲 조성성산중학교 학교숲 조성사업2020-04-072020-05-2683꽃복숭아외 29종 262본. 초화류 9종 3300본 퍼걸러. 목재그네. 벤치. 앉음벽. 수목표찰. 안내판2022-12-31
25녹색쉼터 조성무릉리 도시숲 조성사업2021-04-082021-06-18172팽나무외 1종 35본. 영산홍 외 4종 2109본. 야자매트. 퍼걸러 등2022-12-31
26녹색쉼터 조성동홍신도 도시숲 조성사업2021-04-122021-06-18181후피향나무 외 6종 165본. 유카 외 8종 2289본 야자매트. 퍼걸러 등2022-12-31
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