Overview

Dataset statistics

Number of variables3
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory912.0 B
Average record size in memory30.4 B

Variable types

Numeric2
Categorical1

Dataset

Description경기도 교육재정 재무제표 재정상태(결산) 현황
Author교육부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=B1RZO2G48AJ5FMN8072R23821790&infSeq=2

Alerts

금액(원) is highly overall correlated with 항목구분명High correlation
항목구분명 is highly overall correlated with 금액(원)High correlation
금액(원) has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:41:26.546157
Analysis finished2023-12-10 21:41:27.126739
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회계연도
Real number (ℝ)

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.5
Minimum2013
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T06:41:27.174271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2013
5-th percentile2013
Q12015
median2017.5
Q32020
95-th percentile2022
Maximum2022
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.9213837
Coefficient of variation (CV)0.0014480217
Kurtosis-1.2256534
Mean2017.5
Median Absolute Deviation (MAD)2.5
Skewness0
Sum60525
Variance8.5344828
MonotonicityDecreasing
2023-12-11T06:41:27.269567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2022 3
10.0%
2021 3
10.0%
2020 3
10.0%
2019 3
10.0%
2018 3
10.0%
2017 3
10.0%
2016 3
10.0%
2015 3
10.0%
2014 3
10.0%
2013 3
10.0%
ValueCountFrequency (%)
2013 3
10.0%
2014 3
10.0%
2015 3
10.0%
2016 3
10.0%
2017 3
10.0%
2018 3
10.0%
2019 3
10.0%
2020 3
10.0%
2021 3
10.0%
2022 3
10.0%
ValueCountFrequency (%)
2022 3
10.0%
2021 3
10.0%
2020 3
10.0%
2019 3
10.0%
2018 3
10.0%
2017 3
10.0%
2016 3
10.0%
2015 3
10.0%
2014 3
10.0%
2013 3
10.0%

항목구분명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
부채
10 
순자산
10 
자산
10 

Length

Max length3
Median length2
Mean length2.3333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부채
2nd row순자산
3rd row자산
4th row부채
5th row순자산

Common Values

ValueCountFrequency (%)
부채 10
33.3%
순자산 10
33.3%
자산 10
33.3%

Length

2023-12-11T06:41:27.386662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:41:27.482352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부채 10
33.3%
순자산 10
33.3%
자산 10
33.3%

금액(원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8618566 × 1013
Minimum1.6788916 × 1012
Maximum3.9876823 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T06:41:27.583087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.6788916 × 1012
5-th percentile2.470502 × 1012
Q15.8517611 × 1012
median2.0678846 × 1013
Q32.6587689 × 1013
95-th percentile3.6060844 × 1013
Maximum3.9876823 × 1013
Range3.8197931 × 1013
Interquartile range (IQR)2.0735928 × 1013

Descriptive statistics

Standard deviation1.1690826 × 1013
Coefficient of variation (CV)0.62791227
Kurtosis-1.177238
Mean1.8618566 × 1013
Median Absolute Deviation (MAD)9.3265317 × 1012
Skewness-0.075215402
Sum5.5855697 × 1014
Variance1.3667541 × 1026
MonotonicityNot monotonic
2023-12-11T06:41:27.694427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1678891577515 1
 
3.3%
19455335574100 1
 
3.3%
21951664799570 1
 
3.3%
17773705917214 1
 
3.3%
4177958882356 1
 
3.3%
23170166233877 1
 
3.3%
18556688574532 1
 
3.3%
4613477659345 1
 
3.3%
24143060234407 1
 
3.3%
18291850188955 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1678891577515 1
3.3%
2193177381346 1
3.3%
2809454361751 1
3.3%
2990521415144 1
3.3%
4177958882356 1
3.3%
4613477659345 1
3.3%
4907748092752 1
3.3%
5851210045452 1
3.3%
5853414305735 1
3.3%
6430333005808 1
3.3%
ValueCountFrequency (%)
39876822856578 1
3.3%
38197931279063 1
3.3%
33448849081385 1
3.3%
31255671700039 1
3.3%
31099796212687 1
3.3%
28910960101931 1
3.3%
28290341850936 1
3.3%
26810105424163 1
3.3%
25920438686787 1
3.3%
25308749879835 1
3.3%

Interactions

2023-12-11T06:41:26.790990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:41:26.630167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:41:26.874826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:41:26.705332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:41:27.774748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도항목구분명금액(원)
회계연도1.0000.0000.372
항목구분명0.0001.0000.837
금액(원)0.3720.8371.000
2023-12-11T06:41:27.845989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도금액(원)항목구분명
회계연도1.0000.3140.000
금액(원)0.3141.0000.704
항목구분명0.0000.7041.000

Missing values

2023-12-11T06:41:27.008077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:41:27.097746image/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

회계연도항목구분명금액(원)
02022부채1678891577515
12022순자산38197931279063
22022자산39876822856578
32021부채2193177381346
42021순자산31255671700039
52021자산33448849081385
62020부채2809454361751
72020순자산28290341850936
82020자산31099796212687
92019부채2990521415144
회계연도항목구분명금액(원)
202016자산24558311978411
212015부채5851210045452
222015순자산18291850188955
232015자산24143060234407
242014부채4613477659345
252014순자산18556688574532
262014자산23170166233877
272013부채4177958882356
282013순자산17773705917214
292013자산21951664799570