Overview

Dataset statistics

Number of variables4
Number of observations165
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory34.8 B

Variable types

Text1
Numeric2
Categorical1

Dataset

Description2024년 광주광역시 균형발전특별회계 편성내역에 대한 데이터로 사업명과 편성액 등의 항목을 제공하며 단위는 천원입니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15093462/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
균형발전특별회계 편성액 is highly overall correlated with 지방비 편성액High correlation
지방비 편성액 is highly overall correlated with 균형발전특별회계 편성액High correlation
균형발전특별회계 편성액 has 4 (2.4%) zerosZeros
지방비 편성액 has 30 (18.2%) zerosZeros

Reproduction

Analysis started2024-04-06 09:04:58.564932
Analysis finished2024-04-06 09:05:00.005694
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업명
Text

Distinct160
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-06T18:05:00.273843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length11.921212
Min length2

Characters and Unicode

Total characters1967
Distinct characters299
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique155 ?
Unique (%)93.9%

Sample

1st row노인맞춤돌봄서비스
2nd row지역아동센터인건비
3rd row지역산업맞춤형자치단체지원
4th row지역사회서비스투자
5th row창업기업성장지원센터건립
ValueCountFrequency (%)
봉급 2
 
1.2%
지역혁신워크숍 2
 
1.2%
공무직 2
 
1.2%
명절휴가비 2
 
1.2%
지역사회서비스투자 2
 
1.2%
20월산근린공원조성 1
 
0.6%
19양산근린공원조성 1
 
0.6%
응급안전안심서비스거점기관운영 1
 
0.6%
광주지역혁신성장계획수립 1
 
0.6%
20우산근린공원조성 1
 
0.6%
Other values (150) 150
90.9%
2024-04-06T18:05:00.881892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 86
 
4.4%
원 55
 
2.8%
역 42
 
2.1%
업 42
 
2.1%
성 33
 
1.7%
비 33
 
1.7%
기 32
 
1.6%
시 31
 
1.6%
자 31
 
1.6%
사 30
 
1.5%
Other values (289) 1552
78.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1863
94.7%
Decimal Number 37
 
1.9%
Close Punctuation 19
 
1.0%
Open Punctuation 19
 
1.0%
Other Punctuation 17
 
0.9%
Uppercase Letter 8
 
0.4%
Math Symbol 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 86
 
4.6%
원 55
 
3.0%
역 42
 
2.3%
업 42
 
2.3%
성 33
 
1.8%
비 33
 
1.8%
기 32
 
1.7%
시 31
 
1.7%
자 31
 
1.7%
사 30
 
1.6%
Other values (270) 1448
77.7%
Decimal Number
ValueCountFrequency (%)
2 12
32.4%
1 8
21.6%
0 7
18.9%
9 7
18.9%
4 1
 
2.7%
5 1
 
2.7%
7 1
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
C 2
25.0%
A 1
12.5%
I 1
12.5%
V 1
12.5%
T 1
12.5%
W 1
12.5%
S 1
12.5%
Other Punctuation
ValueCountFrequency (%)
' 16
94.1%
· 1
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1863
94.7%
Common 96
 
4.9%
Latin 8
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 86
 
4.6%
원 55
 
3.0%
역 42
 
2.3%
업 42
 
2.3%
성 33
 
1.8%
비 33
 
1.8%
기 32
 
1.7%
시 31
 
1.7%
자 31
 
1.7%
사 30
 
1.6%
Other values (270) 1448
77.7%
Common
ValueCountFrequency (%)
) 19
19.8%
( 19
19.8%
' 16
16.7%
2 12
12.5%
1 8
8.3%
0 7
 
7.3%
9 7
 
7.3%
~ 4
 
4.2%
· 1
 
1.0%
4 1
 
1.0%
Other values (2) 2
 
2.1%
Latin
ValueCountFrequency (%)
C 2
25.0%
A 1
12.5%
I 1
12.5%
V 1
12.5%
T 1
12.5%
W 1
12.5%
S 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1863
94.7%
ASCII 103
 
5.2%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 86
 
4.6%
원 55
 
3.0%
역 42
 
2.3%
업 42
 
2.3%
성 33
 
1.8%
비 33
 
1.8%
기 32
 
1.7%
시 31
 
1.7%
자 31
 
1.7%
사 30
 
1.6%
Other values (270) 1448
77.7%
ASCII
ValueCountFrequency (%)
) 19
18.4%
( 19
18.4%
' 16
15.5%
2 12
11.7%
1 8
7.8%
0 7
 
6.8%
9 7
 
6.8%
~ 4
 
3.9%
C 2
 
1.9%
A 1
 
1.0%
Other values (8) 8
7.8%
None
ValueCountFrequency (%)
· 1
100.0%

균형발전특별회계 편성액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct112
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean859.46667
Minimum0
Maximum14683
Zeros4
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T18:05:01.151203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median90
Q3680
95-th percentile3668.4
Maximum14683
Range14683
Interquartile range (IQR)673

Descriptive statistics

Standard deviation2126.1154
Coefficient of variation (CV)2.4737613
Kurtosis20.26878
Mean859.46667
Median Absolute Deviation (MAD)89
Skewness4.2788998
Sum141812
Variance4520366.6
MonotonicityDecreasing
2024-04-06T18:05:01.470347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 14
 
8.5%
2 11
 
6.7%
0 4
 
2.4%
3 4
 
2.4%
4 4
 
2.4%
35 3
 
1.8%
6 3
 
1.8%
16 3
 
1.8%
15 3
 
1.8%
1000 2
 
1.2%
Other values (102) 114
69.1%
ValueCountFrequency (%)
0 4
 
2.4%
1 14
8.5%
2 11
6.7%
3 4
 
2.4%
4 4
 
2.4%
5 1
 
0.6%
6 3
 
1.8%
7 2
 
1.2%
8 1
 
0.6%
9 2
 
1.2%
ValueCountFrequency (%)
14683 1
0.6%
11381 1
0.6%
11218 1
0.6%
10528 1
0.6%
9450 1
0.6%
4956 1
0.6%
4588 1
0.6%
4200 1
0.6%
3733 1
0.6%
3410 1
0.6%

지방비 편성액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct108
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean682.58788
Minimum0
Maximum11356
Zeros30
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T18:05:01.721534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median105
Q3470
95-th percentile2987
Maximum11356
Range11356
Interquartile range (IQR)468

Descriptive statistics

Standard deviation1692.335
Coefficient of variation (CV)2.4792925
Kurtosis19.284616
Mean682.58788
Median Absolute Deviation (MAD)105
Skewness4.204114
Sum112627
Variance2863997.7
MonotonicityNot monotonic
2024-04-06T18:05:01.936252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
18.2%
1 8
 
4.8%
2 6
 
3.6%
1000 6
 
3.6%
4 3
 
1.8%
2000 3
 
1.8%
6 3
 
1.8%
188 2
 
1.2%
33 2
 
1.2%
83 2
 
1.2%
Other values (98) 100
60.6%
ValueCountFrequency (%)
0 30
18.2%
1 8
 
4.8%
2 6
 
3.6%
3 1
 
0.6%
4 3
 
1.8%
6 3
 
1.8%
8 2
 
1.2%
9 1
 
0.6%
10 1
 
0.6%
14 1
 
0.6%
ValueCountFrequency (%)
11356 1
0.6%
9675 1
0.6%
8905 1
0.6%
7956 1
0.6%
6289 1
0.6%
5691 1
0.6%
4535 1
0.6%
4194 1
0.6%
3100 1
0.6%
2535 1
0.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-13
165 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-13
2nd row2024-03-13
3rd row2024-03-13
4th row2024-03-13
5th row2024-03-13

Common Values

ValueCountFrequency (%)
2024-03-13 165
100.0%

Length

2024-04-06T18:05:02.110423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:05:02.276249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-13 165
100.0%

Interactions

2024-04-06T18:04:59.457327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:04:58.842330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:04:59.614287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:04:58.997950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T18:05:02.438721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
균형발전특별회계 편성액지방비 편성액
균형발전특별회계 편성액1.0000.696
지방비 편성액0.6961.000
2024-04-06T18:05:02.576732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
균형발전특별회계 편성액지방비 편성액
균형발전특별회계 편성액1.0000.774
지방비 편성액0.7741.000

Missing values

2024-04-06T18:04:59.781274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T18:04:59.935886image/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

사업명균형발전특별회계 편성액지방비 편성액데이터기준일자
0노인맞춤돌봄서비스1468362892024-03-13
1지역아동센터인건비1138156912024-03-13
2지역산업맞춤형자치단체지원1121841942024-03-13
3지역사회서비스투자1052822562024-03-13
4창업기업성장지원센터건립945002024-03-13
5광주역도시재생혁신지구495602024-03-13
6개발제한구역주민지원45882552024-03-13
7사회적기업일자리창출지원420014002024-03-13
8지방투자촉진보조금(국내기업)373320102024-03-13
9첨단버스공영차고지조성341079562024-03-13
사업명균형발전특별회계 편성액지방비 편성액데이터기준일자
155명절휴가비112024-03-13
156민간감시원교육여비112024-03-13
157사무용·소모성물품102024-03-13
158지역혁신협의회및혁신체계운영관련책자제작등112024-03-13
159지역혁신워크숍112024-03-13
160미세먼지불법배출감시장비유지보수112024-03-13
161식의약품안전감시및대응(유통식품수거활동)002024-03-13
162의약품감시및수거002024-03-13
163피복비002024-03-13
164지역혁신체계운영관련현수막제작등002024-03-13