Overview

Dataset statistics

Number of variables5
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory47.7 B

Variable types

Numeric2
Categorical3

Dataset

Description한국지역난방공사의 연간 장애인 생산품 구매 실적입니다.(연도, 구분, 품목, 구매금액(백만원)에 대한 데이터 입니다)
Author한국지역난방공사
URLhttps://www.data.go.kr/data/15071146/fileData.do

Alerts

구매금액 단위 has constant value ""Constant
구매금액 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 구매금액 and 1 other fieldsHigh correlation
품목 is highly overall correlated with 구분High correlation
구매금액 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:53:16.012391
Analysis finished2024-04-06 08:53:17.255205
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct8
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.6522
Minimum2016
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-04-06T17:53:17.344125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2016
5-th percentile2016.1
Q12018
median2020
Q32021.5
95-th percentile2023
Maximum2023
Range7
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.2685337
Coefficient of variation (CV)0.0011232299
Kurtosis-1.1898971
Mean2019.6522
Median Absolute Deviation (MAD)2
Skewness-0.037919431
Sum46452
Variance5.1462451
MonotonicityDecreasing
2024-04-06T17:53:17.559687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2023 3
13.0%
2022 3
13.0%
2021 3
13.0%
2020 3
13.0%
2019 3
13.0%
2018 3
13.0%
2017 3
13.0%
2016 2
8.7%
ValueCountFrequency (%)
2016 2
8.7%
2017 3
13.0%
2018 3
13.0%
2019 3
13.0%
2020 3
13.0%
2021 3
13.0%
2022 3
13.0%
2023 3
13.0%
ValueCountFrequency (%)
2023 3
13.0%
2022 3
13.0%
2021 3
13.0%
2020 3
13.0%
2019 3
13.0%
2018 3
13.0%
2017 3
13.0%
2016 2
8.7%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
장애인기업 생산품
8 
중증장애인 생산품
8 
장애인표준사업장 생산품
7 

Length

Max length12
Median length9
Mean length9.9130435
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row장애인기업 생산품
2nd row장애인표준사업장 생산품
3rd row중증장애인 생산품
4th row장애인기업 생산품
5th row장애인표준사업장 생산품

Common Values

ValueCountFrequency (%)
장애인기업 생산품 8
34.8%
중증장애인 생산품 8
34.8%
장애인표준사업장 생산품 7
30.4%

Length

2024-04-06T17:53:17.825704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:18.018305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생산품 23
50.0%
장애인기업 8
 
17.4%
중증장애인 8
 
17.4%
장애인표준사업장 7
 
15.2%

품목
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)47.8%
Missing0
Missing (%)0.0%
Memory size316.0 B
안전용품, 인쇄물 등
5 
전산소모품, 인쇄물 등
4 
토너, 인쇄물 등
3 
사무실 비품 등
3 
사무용품 등
2 
Other values (6)
6 

Length

Max length12
Median length10
Mean length9.6956522
Min length6

Unique

Unique6 ?
Unique (%)26.1%

Sample

1st row사무용품 등
2nd rowCCTV, 기념품 등
3rd row토너, 인쇄물 등
4th row사무용품 등
5th row정보기기 등

Common Values

ValueCountFrequency (%)
안전용품, 인쇄물 등 5
21.7%
전산소모품, 인쇄물 등 4
17.4%
토너, 인쇄물 등 3
13.0%
사무실 비품 등 3
13.0%
사무용품 등 2
 
8.7%
CCTV, 기념품 등 1
 
4.3%
정보기기 등 1
 
4.3%
사무용품, PE관 1
 
4.3%
정보기기, 조명기구 1
 
4.3%
CCTV, 인쇄물 등 1
 
4.3%

Length

2024-04-06T17:53:18.648507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
등 21
32.8%
인쇄물 13
20.3%
안전용품 5
 
7.8%
전산소모품 4
 
6.2%
토너 3
 
4.7%
사무실 3
 
4.7%
비품 3
 
4.7%
사무용품 3
 
4.7%
cctv 3
 
4.7%
정보기기 2
 
3.1%
Other values (4) 4
 
6.2%

구매금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2907.913
Minimum246
Maximum9977
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-04-06T17:53:18.919046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum246
5-th percentile644.8
Q1964
median1181
Q34839.5
95-th percentile8018.3
Maximum9977
Range9731
Interquartile range (IQR)3875.5

Descriptive statistics

Standard deviation2983.2469
Coefficient of variation (CV)1.0259065
Kurtosis0.011889452
Mean2907.913
Median Absolute Deviation (MAD)520
Skewness1.2080376
Sum66882
Variance8899761.9
MonotonicityNot monotonic
2024-04-06T17:53:19.171911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
7994 1
 
4.3%
1595 1
 
4.3%
661 1
 
4.3%
6000 1
 
4.3%
1736 1
 
4.3%
246 1
 
4.3%
7148 1
 
4.3%
1117 1
 
4.3%
1025 1
 
4.3%
3679 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
246 1
4.3%
643 1
4.3%
661 1
4.3%
813 1
4.3%
849 1
4.3%
929 1
4.3%
999 1
4.3%
1025 1
4.3%
1092 1
4.3%
1117 1
4.3%
ValueCountFrequency (%)
9977 1
4.3%
8021 1
4.3%
7994 1
4.3%
7148 1
4.3%
6078 1
4.3%
6000 1
4.3%
3679 1
4.3%
2752 1
4.3%
1736 1
4.3%
1595 1
4.3%

구매금액 단위
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
백만원
23 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
백만원 23
100.0%

Length

2024-04-06T17:53:19.437563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:53:19.652067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
백만원 23
100.0%

Interactions

2024-04-06T17:53:16.650994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:53:16.304774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:53:16.818214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:53:16.484836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:53:19.772814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도구분품목구매금액
연도1.0000.0000.0000.000
구분0.0001.0001.0000.686
품목0.0001.0001.0000.432
구매금액0.0000.6860.4321.000
2024-04-06T17:53:19.941606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
품목구분
품목1.0000.775
구분0.7751.000
2024-04-06T17:53:20.132259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도구매금액구분품목
연도1.0000.1240.0000.000
구매금액0.1241.0000.5220.202
구분0.0000.5221.0000.775
품목0.0000.2020.7751.000

Missing values

2024-04-06T17:53:17.004491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:53:17.190031image/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

연도구분품목구매금액구매금액 단위
02023장애인기업 생산품사무용품 등7994백만원
12023장애인표준사업장 생산품CCTV, 기념품 등1595백만원
22023중증장애인 생산품토너, 인쇄물 등1123백만원
32022장애인기업 생산품사무용품 등6078백만원
42022장애인표준사업장 생산품정보기기 등1224백만원
52022중증장애인 생산품토너, 인쇄물 등643백만원
62021장애인기업 생산품사무용품, PE관9977백만원
72021장애인표준사업장 생산품정보기기, 조명기구813백만원
82021중증장애인 생산품토너, 인쇄물 등1092백만원
92020장애인기업 생산품안전용품, 인쇄물 등8021백만원
연도구분품목구매금액구매금액 단위
132019장애인표준사업장 생산품전산소모품, 인쇄물 등929백만원
142019중증장애인 생산품CCTV, 가구 등1181백만원
152018장애인기업 생산품안전용품, 인쇄물 등3679백만원
162018장애인표준사업장 생산품전산소모품, 인쇄물 등1025백만원
172018중증장애인 생산품사무실 비품 등1117백만원
182017장애인기업 생산품안전용품, 인쇄물 등7148백만원
192017장애인표준사업장 생산품전산소모품, 인쇄물 등246백만원
202017중증장애인 생산품사무실 비품 등1736백만원
212016장애인기업 생산품안전용품, 인쇄물 등6000백만원
222016중증장애인 생산품사무실 비품 등661백만원