Overview

Dataset statistics

Number of variables14
Number of observations24
Missing cells247
Missing cells (%)73.5%
Duplicate rows2
Duplicate rows (%)8.3%
Total size in memory2.8 KiB
Average record size in memory117.3 B

Variable types

Text1
Unsupported13

Dataset

Description등록된 파일 데이터에 대한 정보는 아래와 같습니다.-국립세종수목원 내에 설치된 각 건물의 옥상 면적-국립세종수목원 주차장 면적-국립세종수목원 연구동, 고객주차장 태양광 발전량(2022~2023)-국립세종수목원 지역난방 월별 사용량(2022~2023)
Author한국수목원정원관리원
URLhttps://www.data.go.kr/data/15126906/fileData.do

Alerts

Dataset has 2 (8.3%) duplicate rowsDuplicates
1. 국립세종수목원 내 설치된 각 건물의 옥상 면적(옥상 없는 건축물 제외) has 13 (54.2%) missing valuesMissing
Unnamed: 1 has 16 (66.7%) missing valuesMissing
Unnamed: 2 has 14 (58.3%) missing valuesMissing
Unnamed: 3 has 16 (66.7%) missing valuesMissing
Unnamed: 4 has 18 (75.0%) missing valuesMissing
Unnamed: 5 has 19 (79.2%) missing valuesMissing
Unnamed: 6 has 19 (79.2%) missing valuesMissing
Unnamed: 7 has 19 (79.2%) missing valuesMissing
Unnamed: 8 has 18 (75.0%) missing valuesMissing
Unnamed: 9 has 19 (79.2%) missing valuesMissing
Unnamed: 10 has 19 (79.2%) missing valuesMissing
Unnamed: 11 has 19 (79.2%) missing valuesMissing
Unnamed: 12 has 19 (79.2%) missing valuesMissing
Unnamed: 13 has 19 (79.2%) missing valuesMissing
Unnamed: 1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 13 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 13:44:20.144652
Analysis finished2024-03-14 13:44:21.876249
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

1. 국립세종수목원 내 설치된 각 건물의 옥상 면적(옥상 없는 건축물 제외)
Text

MISSING 

Distinct9
Distinct (%)81.8%
Missing13
Missing (%)54.2%
Memory size320.0 B
2024-03-14T22:44:22.425370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length11
Mean length10.727273
Min length2

Characters and Unicode

Total characters118
Distinct characters46
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)72.7%

Sample

1st row구 분
2nd row옥상면적(㎡)
3rd row2. 국립세종수목원 주차장 면적
4th row구분
5th row면적(㎡)
ValueCountFrequency (%)
구 3
 
12.0%
국립세종수목원 3
 
12.0%
분 3
 
12.0%
발전량(2022~2023 1
 
4.0%
열사용량 1
 
4.0%
사용량(2022~2023 1
 
4.0%
지역난방 1
 
4.0%
4 1
 
4.0%
kw 1
 
4.0%
발전량 1
 
4.0%
Other values (9) 9
36.0%
2024-03-14T22:44:23.590605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
10.2%
2 11
 
9.3%
( 6
 
5.1%
) 6
 
5.1%
구 4
 
3.4%
분 4
 
3.4%
0 4
 
3.4%
량 4
 
3.4%
세 3
 
2.5%
3 3
 
2.5%
Other values (36) 61
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60
50.8%
Decimal Number 19
 
16.1%
Space Separator 12
 
10.2%
Open Punctuation 6
 
5.1%
Close Punctuation 6
 
5.1%
Lowercase Letter 4
 
3.4%
Other Punctuation 3
 
2.5%
Control 2
 
1.7%
Math Symbol 2
 
1.7%
Other Symbol 2
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4
 
6.7%
분 4
 
6.7%
량 4
 
6.7%
세 3
 
5.0%
원 3
 
5.0%
수 3
 
5.0%
종 3
 
5.0%
목 3
 
5.0%
립 3
 
5.0%
면 3
 
5.0%
Other values (19) 27
45.0%
Decimal Number
ValueCountFrequency (%)
2 11
57.9%
0 4
 
21.1%
3 3
 
15.8%
4 1
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
c 1
25.0%
a 1
25.0%
k 1
25.0%
l 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
W 1
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Control
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60
50.8%
Common 52
44.1%
Latin 6
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4
 
6.7%
분 4
 
6.7%
량 4
 
6.7%
세 3
 
5.0%
원 3
 
5.0%
수 3
 
5.0%
종 3
 
5.0%
목 3
 
5.0%
립 3
 
5.0%
면 3
 
5.0%
Other values (19) 27
45.0%
Common
ValueCountFrequency (%)
12
23.1%
2 11
21.2%
( 6
11.5%
) 6
11.5%
0 4
 
7.7%
3 3
 
5.8%
. 3
 
5.8%
2
 
3.8%
~ 2
 
3.8%
㎡ 2
 
3.8%
Latin
ValueCountFrequency (%)
G 1
16.7%
c 1
16.7%
a 1
16.7%
W 1
16.7%
k 1
16.7%
l 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60
50.8%
ASCII 56
47.5%
CJK Compat 2
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
21.4%
2 11
19.6%
( 6
10.7%
) 6
10.7%
0 4
 
7.1%
3 3
 
5.4%
. 3
 
5.4%
2
 
3.6%
~ 2
 
3.6%
G 1
 
1.8%
Other values (6) 6
10.7%
Hangul
ValueCountFrequency (%)
구 4
 
6.7%
분 4
 
6.7%
량 4
 
6.7%
세 3
 
5.0%
원 3
 
5.0%
수 3
 
5.0%
종 3
 
5.0%
목 3
 
5.0%
립 3
 
5.0%
면 3
 
5.0%
Other values (19) 27
45.0%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%

Unnamed: 1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing16
Missing (%)66.7%
Memory size320.0 B

Unnamed: 2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing14
Missing (%)58.3%
Memory size320.0 B

Unnamed: 3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing16
Missing (%)66.7%
Memory size320.0 B

Unnamed: 4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing18
Missing (%)75.0%
Memory size320.0 B

Unnamed: 5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing19
Missing (%)79.2%
Memory size320.0 B

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing19
Missing (%)79.2%
Memory size320.0 B

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing19
Missing (%)79.2%
Memory size320.0 B

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing18
Missing (%)75.0%
Memory size320.0 B

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing19
Missing (%)79.2%
Memory size320.0 B

Unnamed: 10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing19
Missing (%)79.2%
Memory size320.0 B

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing19
Missing (%)79.2%
Memory size320.0 B

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing19
Missing (%)79.2%
Memory size320.0 B

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing19
Missing (%)79.2%
Memory size320.0 B

Missing values

2024-03-14T22:44:20.403163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:44:20.998829image/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.
2024-03-14T22:44:21.504178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

1. 국립세종수목원 내 설치된 각 건물의 옥상 면적(옥상 없는 건축물 제외)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13
0<NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1구 분방문자센터사계절\n전시온실연구동분재전시관NaN장비관리동ESS\n보관소옥외화장실NaNNaNNaNNaNNaN
2<NA>NaNNaNNaN분재문화관분재전시관NaNNaNABCDEF
3옥상면적(㎡)2255.331507.053534.59152.28499.861070.4117.23225.53167.8873.6173.6138.2573.61
4<NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
5<NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
62. 국립세종수목원 주차장 면적NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
7<NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
8구분연구동 주차장고객 주차장NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
9면적(㎡)252421000NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1. 국립세종수목원 내 설치된 각 건물의 옥상 면적(옥상 없는 건축물 제외)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13
14구 분NaN연구동고객주차장NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
15발전량 (kW)2022113000.0579112.19NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
16<NA>2023109422.1775405.75NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
17<NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
18<NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
194. 국립세종수목원 지역난방 사용량(2022~2023)NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
20<NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
21구 분NaN1월2월3월4월5월6월7월8월9월10월11월12월
22열사용량 (Gcal)2022536.74391.44224.64104.317.50.50.100.139.6173.62565.11
23<NA>2023461.25297.68148.2549.600.60.20.316.74181.64402.99

Duplicate rows

Most frequently occurring

1. 국립세종수목원 내 설치된 각 건물의 옥상 면적(옥상 없는 건축물 제외)# duplicates
1<NA>13
0구 분3