Overview

Dataset statistics

Number of variables4
Number of observations275
Missing cells243
Missing cells (%)22.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory34.5 B

Variable types

Categorical1
Text2
Numeric1

Dataset

Description복식부기 재무현황(부채)
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=M4Z94K48DEGV37WHBKEE22444815&infSeq=1

Alerts

시군명 has 243 (88.4%) missing valuesMissing
부채총계액(원) has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:14:10.555623
Analysis finished2023-12-10 21:14:11.295575
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회계연도
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2020
243 
2021
32 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2020 243
88.4%
2021 32
 
11.6%

Length

2023-12-11T06:14:11.370735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:11.464888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 243
88.4%
2021 32
 
11.6%

시군명
Text

MISSING 

Distinct32
Distinct (%)100.0%
Missing243
Missing (%)88.4%
Memory size2.3 KiB
2023-12-11T06:14:11.654633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.09375
Min length3

Characters and Unicode

Total characters99
Distinct characters41
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row가평군
2nd row경기도
3rd row고양시
4th row과천시
5th row광명시
ValueCountFrequency (%)
경기도 1
 
3.1%
고양시 1
 
3.1%
화성시 1
 
3.1%
하남시 1
 
3.1%
포천시 1
 
3.1%
평택시 1
 
3.1%
파주시 1
 
3.1%
이천시 1
 
3.1%
의정부시 1
 
3.1%
의왕시 1
 
3.1%
Other values (22) 22
68.8%
2023-12-11T06:14:11.986229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 29
29.3%
천 6
 
6.1%
주 5
 
5.1%
양 5
 
5.1%
군 4
 
4.0%
안 3
 
3.0%
평 3
 
3.0%
남 3
 
3.0%
포 3
 
3.0%
성 3
 
3.0%
Other values (31) 35
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 29
29.3%
천 6
 
6.1%
주 5
 
5.1%
양 5
 
5.1%
군 4
 
4.0%
안 3
 
3.0%
평 3
 
3.0%
남 3
 
3.0%
포 3
 
3.0%
성 3
 
3.0%
Other values (31) 35
35.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 29
29.3%
천 6
 
6.1%
주 5
 
5.1%
양 5
 
5.1%
군 4
 
4.0%
안 3
 
3.0%
평 3
 
3.0%
남 3
 
3.0%
포 3
 
3.0%
성 3
 
3.0%
Other values (31) 35
35.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 29
29.3%
천 6
 
6.1%
주 5
 
5.1%
양 5
 
5.1%
군 4
 
4.0%
안 3
 
3.0%
평 3
 
3.0%
남 3
 
3.0%
포 3
 
3.0%
성 3
 
3.0%
Other values (31) 35
35.4%

자치단체명
Text

Distinct243
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-11T06:14:12.332330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.8872727
Min length4

Characters and Unicode

Total characters1344
Distinct characters133
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique211 ?
Unique (%)76.7%

Sample

1st row경기가평군
2nd row경기본청
3rd row경기고양시
4th row경기과천시
5th row경기광명시
ValueCountFrequency (%)
경기가평군 2
 
0.7%
경기평택시 2
 
0.7%
경기안성시 2
 
0.7%
경기여주시 2
 
0.7%
경기용인시 2
 
0.7%
경기연천군 2
 
0.7%
경기양평군 2
 
0.7%
경기의왕시 2
 
0.7%
경기하남시 2
 
0.7%
경기이천시 2
 
0.7%
Other values (233) 255
92.7%
2023-12-11T06:14:12.856227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 110
 
8.2%
시 105
 
7.8%
군 89
 
6.6%
구 84
 
6.2%
남 73
 
5.4%
기 65
 
4.8%
북 57
 
4.2%
전 45
 
3.3%
산 41
 
3.1%
천 39
 
2.9%
Other values (123) 636
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1344
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 110
 
8.2%
시 105
 
7.8%
군 89
 
6.6%
구 84
 
6.2%
남 73
 
5.4%
기 65
 
4.8%
북 57
 
4.2%
전 45
 
3.3%
산 41
 
3.1%
천 39
 
2.9%
Other values (123) 636
47.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1344
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 110
 
8.2%
시 105
 
7.8%
군 89
 
6.6%
구 84
 
6.2%
남 73
 
5.4%
기 65
 
4.8%
북 57
 
4.2%
전 45
 
3.3%
산 41
 
3.1%
천 39
 
2.9%
Other values (123) 636
47.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1344
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 110
 
8.2%
시 105
 
7.8%
군 89
 
6.6%
구 84
 
6.2%
남 73
 
5.4%
기 65
 
4.8%
북 57
 
4.2%
전 45
 
3.3%
산 41
 
3.1%
천 39
 
2.9%
Other values (123) 636
47.3%

부채총계액(원)
Real number (ℝ)

UNIQUE 

Distinct275
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4033002 × 1011
Minimum7.7733878 × 109
Maximum1.4562811 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T06:14:13.009125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.7733878 × 109
5-th percentile1.179469 × 1010
Q12.2095486 × 1010
median3.7778824 × 1010
Q38.8856663 × 1010
95-th percentile1.0522459 × 1012
Maximum1.4562811 × 1013
Range1.4555037 × 1013
Interquartile range (IQR)6.6761178 × 1010

Descriptive statistics

Standard deviation1.019688 × 1012
Coefficient of variation (CV)4.2428655
Kurtosis144.71486
Mean2.4033002 × 1011
Median Absolute Deviation (MAD)2.2125836 × 1010
Skewness10.924608
Sum6.6090756 × 1013
Variance1.0397635 × 1024
MonotonicityNot monotonic
2023-12-11T06:14:13.172126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27697246945 1
 
0.4%
119766369671 1
 
0.4%
24929238278 1
 
0.4%
11919117106 1
 
0.4%
60622491512 1
 
0.4%
116051611392 1
 
0.4%
112384805980 1
 
0.4%
26092349439 1
 
0.4%
297722946447 1
 
0.4%
32562708003 1
 
0.4%
Other values (265) 265
96.4%
ValueCountFrequency (%)
7773387838 1
0.4%
8558946781 1
0.4%
8791606648 1
0.4%
9252055367 1
0.4%
9527939100 1
0.4%
9800769948 1
0.4%
10676900928 1
0.4%
10934620787 1
0.4%
11185284081 1
0.4%
11203877275 1
0.4%
ValueCountFrequency (%)
14562810729859 1
0.4%
4560385074690 1
0.4%
3775397804884 1
0.4%
3350635546641 1
0.4%
3184854093441 1
0.4%
2741067951332 1
0.4%
2078765576098 1
0.4%
1871812076323 1
0.4%
1402087721313 1
0.4%
1332956920853 1
0.4%

Interactions

2023-12-11T06:14:10.739556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:14:13.288982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도시군명부채총계액(원)
회계연도1.000NaN0.000
시군명NaN1.0001.000
부채총계액(원)0.0001.0001.000
2023-12-11T06:14:13.378500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부채총계액(원)회계연도
부채총계액(원)1.0000.000
회계연도0.0001.000

Missing values

2023-12-11T06:14:11.151058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:14:11.253175image/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

회계연도시군명자치단체명부채총계액(원)
02021가평군경기가평군27697246945
12021경기도경기본청3775397804884
22021고양시경기고양시106519906263
32021과천시경기과천시29231345001
42021광명시경기광명시29260408381
52021광주시경기광주시177608060189
62021구리시경기구리시54794181640
72021군포시경기군포시25925596835
82021김포시경기김포시186939739807
92021남양주시경기남양주시47296822444
회계연도시군명자치단체명부채총계액(원)
2652020<NA>대구서구23193170477
2662020<NA>대구남구22924719864
2672020<NA>대구북구37765169388
2682020<NA>대구수성구27224884832
2692020<NA>대구달성군24382459152
2702020<NA>인천본청3350635546641
2712020<NA>인천중구13590224223
2722020<NA>인천동구8791606648
2732020<NA>인천미추홀구33420164449
2742020<NA>인천연수구34498616665