Overview

Dataset statistics

Number of variables16
Number of observations1456
Missing cells0
Missing cells (%)0.0%
Duplicate rows156
Duplicate rows (%)10.7%
Total size in memory193.5 KiB
Average record size in memory136.1 B

Variable types

Categorical5
Text1
DateTime5
Numeric5

Dataset

Description경상남도 거창군 보조사업 현황에 대한 데이터로 보조사업명, 담당부서, 사업시작기간, 사업종료기간, 보조사업자정보, 신청차수, 보조사업신청일자, 신청(보조금), 신청(자부담), 신청(융자), 교부결정일자, 교부(자부담), 교부(융자) 항목을 제공합니다.
Author경상남도 거창군
URLhttps://www.data.go.kr/data/15041585/fileData.do

Alerts

회계년도 has constant value ""Constant
담당부서 has constant value ""Constant
신청(융자) has constant value ""Constant
교부(융자) has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 156 (10.7%) duplicate rowsDuplicates
신청(보조금) is highly overall correlated with 신청(자부담) and 2 other fieldsHigh correlation
신청(자부담) is highly overall correlated with 신청(보조금) and 2 other fieldsHigh correlation
교부(보조금) is highly overall correlated with 신청(보조금) and 2 other fieldsHigh correlation
교부(자부담) is highly overall correlated with 신청(보조금) and 2 other fieldsHigh correlation
신청(자부담) has 244 (16.8%) zerosZeros
교부(자부담) has 249 (17.1%) zerosZeros

Reproduction

Analysis started2023-12-12 07:34:02.503664
Analysis finished2023-12-12 07:34:07.329535
Duration4.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회계년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
2023
1456 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 1456
100.0%

Length

2023-12-12T16:34:07.414133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:34:07.544949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 1456
100.0%
Distinct123
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
2023-12-12T16:34:07.895080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length15.957418
Min length6

Characters and Unicode

Total characters23234
Distinct characters241
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)3.8%

Sample

1st row2023년 고품질벼건조기지원사업
2nd row2023년 고품질벼건조기지원사업
3rd row2023년 고품질벼건조기지원사업
4th row2023년 고품질벼건조기지원사업
5th row2023년 고품질벼건조기지원사업
ValueCountFrequency (%)
지원사업 806
 
15.0%
지원 427
 
7.9%
맞춤형 273
 
5.1%
농기계 273
 
5.1%
중소형 273
 
5.1%
2023년 219
 
4.1%
과수 162
 
3.0%
우렁이 145
 
2.7%
제초용 145
 
2.7%
친환경 145
 
2.7%
Other values (234) 2518
46.8%
2023-12-12T16:34:08.503664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4168
 
17.9%
1483
 
6.4%
1474
 
6.3%
1109
 
4.8%
982
 
4.2%
706
 
3.0%
632
 
2.7%
557
 
2.4%
2 451
 
1.9%
411
 
1.8%
Other values (231) 11261
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17990
77.4%
Space Separator 4168
 
17.9%
Decimal Number 915
 
3.9%
Open Punctuation 57
 
0.2%
Close Punctuation 57
 
0.2%
Uppercase Letter 45
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1483
 
8.2%
1474
 
8.2%
1109
 
6.2%
982
 
5.5%
706
 
3.9%
632
 
3.5%
557
 
3.1%
411
 
2.3%
339
 
1.9%
334
 
1.9%
Other values (213) 9963
55.4%
Uppercase Letter
ValueCountFrequency (%)
A 17
37.8%
I 15
33.3%
C 4
 
8.9%
H 4
 
8.9%
P 2
 
4.4%
T 1
 
2.2%
M 1
 
2.2%
R 1
 
2.2%
Decimal Number
ValueCountFrequency (%)
2 451
49.3%
3 225
24.6%
0 224
24.5%
1 8
 
0.9%
8 5
 
0.5%
4 2
 
0.2%
Space Separator
ValueCountFrequency (%)
4168
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17990
77.4%
Common 5199
 
22.4%
Latin 45
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1483
 
8.2%
1474
 
8.2%
1109
 
6.2%
982
 
5.5%
706
 
3.9%
632
 
3.5%
557
 
3.1%
411
 
2.3%
339
 
1.9%
334
 
1.9%
Other values (213) 9963
55.4%
Common
ValueCountFrequency (%)
4168
80.2%
2 451
 
8.7%
3 225
 
4.3%
0 224
 
4.3%
( 57
 
1.1%
) 57
 
1.1%
1 8
 
0.2%
8 5
 
0.1%
4 2
 
< 0.1%
- 2
 
< 0.1%
Latin
ValueCountFrequency (%)
A 17
37.8%
I 15
33.3%
C 4
 
8.9%
H 4
 
8.9%
P 2
 
4.4%
T 1
 
2.2%
M 1
 
2.2%
R 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17990
77.4%
ASCII 5244
 
22.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4168
79.5%
2 451
 
8.6%
3 225
 
4.3%
0 224
 
4.3%
( 57
 
1.1%
) 57
 
1.1%
A 17
 
0.3%
I 15
 
0.3%
1 8
 
0.2%
8 5
 
0.1%
Other values (8) 17
 
0.3%
Hangul
ValueCountFrequency (%)
1483
 
8.2%
1474
 
8.2%
1109
 
6.2%
982
 
5.5%
706
 
3.9%
632
 
3.5%
557
 
3.1%
411
 
2.3%
339
 
1.9%
334
 
1.9%
Other values (213) 9963
55.4%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
거창군농업기술센터
1456 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
거창군농업기술센터 1456
100.0%

Length

2023-12-12T16:34:08.671012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:34:08.772770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
거창군농업기술센터 1456
100.0%
Distinct68
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
Minimum2023-01-02 00:00:00
Maximum2023-10-23 00:00:00
2023-12-12T16:34:08.865511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:08.999327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
Minimum2023-05-08 00:00:00
Maximum2023-12-31 00:00:00
2023-12-12T16:34:09.093124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:09.183650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
개인
1237 
단체
219 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 1237
85.0%
단체 219
 
15.0%

Length

2023-12-12T16:34:09.275573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:34:09.357516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 1237
85.0%
단체 219
 
15.0%

신청차수
Real number (ℝ)

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1868132
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2023-12-12T16:34:09.433671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum13
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.79395777
Coefficient of variation (CV)0.66898294
Kurtosis47.665282
Mean1.1868132
Median Absolute Deviation (MAD)0
Skewness5.8339342
Sum1728
Variance0.63036894
MonotonicityNot monotonic
2023-12-12T16:34:09.517662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1341
92.1%
2 59
 
4.1%
5 45
 
3.1%
3 9
 
0.6%
13 1
 
0.1%
4 1
 
0.1%
ValueCountFrequency (%)
1 1341
92.1%
2 59
 
4.1%
3 9
 
0.6%
4 1
 
0.1%
5 45
 
3.1%
13 1
 
0.1%
ValueCountFrequency (%)
13 1
 
0.1%
5 45
 
3.1%
4 1
 
0.1%
3 9
 
0.6%
2 59
 
4.1%
1 1341
92.1%
Distinct43
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
Minimum2022-08-26 00:00:00
Maximum2023-09-21 00:00:00
2023-12-12T16:34:09.616342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:09.731261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

신청(보조금)
Real number (ℝ)

HIGH CORRELATION 

Distinct711
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6513414.6
Minimum-175710
Maximum3.5235 × 108
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size12.9 KiB
2023-12-12T16:34:09.863440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-175710
5-th percentile100
Q18000
median600000
Q34000000
95-th percentile20000000
Maximum3.5235 × 108
Range3.5252571 × 108
Interquartile range (IQR)3992000

Descriptive statistics

Standard deviation24711574
Coefficient of variation (CV)3.7939507
Kurtosis81.474977
Mean6513414.6
Median Absolute Deviation (MAD)599280
Skewness8.2464277
Sum9.4835317 × 109
Variance6.1066187 × 1014
MonotonicityNot monotonic
2023-12-12T16:34:10.036779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 79
 
5.4%
4000000.0 59
 
4.1%
10000.0 34
 
2.3%
400000.0 31
 
2.1%
2728.0 26
 
1.8%
1206.0 24
 
1.6%
6000000.0 23
 
1.6%
8000.0 23
 
1.6%
15000.0 22
 
1.5%
1200.0 18
 
1.2%
Other values (701) 1117
76.7%
ValueCountFrequency (%)
-175710.0 1
 
0.1%
100.0 79
5.4%
203.0 1
 
0.1%
222.0 1
 
0.1%
377.0 1
 
0.1%
400.0 10
 
0.7%
480.0 2
 
0.1%
482.0 3
 
0.2%
500.0 7
 
0.5%
572.0 1
 
0.1%
ValueCountFrequency (%)
352350000.0 1
0.1%
300000000.0 1
0.1%
286190000.0 1
0.1%
275325960.0 1
0.1%
239383000.0 1
0.1%
203448000.0 1
0.1%
200000000.0 2
0.1%
188865370.0 1
0.1%
187500000.0 1
0.1%
165600000.0 1
0.1%

신청(자부담)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct618
Distinct (%)42.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3958887.6
Minimum-175710
Maximum3.5235 × 108
Zeros244
Zeros (%)16.8%
Negative1
Negative (%)0.1%
Memory size12.9 KiB
2023-12-12T16:34:10.231553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-175710
5-th percentile0
Q11920
median175700
Q31980000
95-th percentile15000000
Maximum3.5235 × 108
Range3.5252571 × 108
Interquartile range (IQR)1978080

Descriptive statistics

Standard deviation18385846
Coefficient of variation (CV)4.6441951
Kurtosis164.79913
Mean3958887.6
Median Absolute Deviation (MAD)175700
Skewness11.436412
Sum5.7641403 × 109
Variance3.3803934 × 1014
MonotonicityNot monotonic
2023-12-12T16:34:10.661315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 244
 
16.8%
4000000.0 64
 
4.4%
400000.0 31
 
2.1%
3272.0 18
 
1.2%
1500000.0 18
 
1.2%
8000.0 17
 
1.2%
1920.0 16
 
1.1%
1744.0 15
 
1.0%
700.0 14
 
1.0%
1826.0 14
 
1.0%
Other values (608) 1005
69.0%
ValueCountFrequency (%)
-175710.0 1
 
0.1%
0.0 244
16.8%
204.0 1
 
0.1%
222.0 1
 
0.1%
377.0 1
 
0.1%
500.0 7
 
0.5%
518.0 3
 
0.2%
520.0 2
 
0.1%
572.0 1
 
0.1%
578.0 1
 
0.1%
ValueCountFrequency (%)
352350000.0 1
0.1%
286190000.0 1
0.1%
239383000.0 1
0.1%
203448000.0 1
0.1%
156000000.0 1
0.1%
150000000.0 1
0.1%
132224700.0 1
0.1%
123316000.0 1
0.1%
121378000.0 1
0.1%
105840000.0 1
0.1%

신청(융자)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
0
1456 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1456
100.0%

Length

2023-12-12T16:34:10.810532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:34:10.905416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1456
100.0%
Distinct54
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
Minimum2023-02-02 00:00:00
Maximum2023-10-17 00:00:00
2023-12-12T16:34:11.015583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:11.184113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

교부(보조금)
Real number (ℝ)

HIGH CORRELATION 

Distinct704
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6138612.5
Minimum-175710
Maximum3.5235 × 108
Zeros7
Zeros (%)0.5%
Negative1
Negative (%)0.1%
Memory size12.9 KiB
2023-12-12T16:34:11.324257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-175710
5-th percentile100
Q18000
median576500
Q34000000
95-th percentile19836250
Maximum3.5235 × 108
Range3.5252571 × 108
Interquartile range (IQR)3992000

Descriptive statistics

Standard deviation23670272
Coefficient of variation (CV)3.8559645
Kurtosis94.339979
Mean6138612.5
Median Absolute Deviation (MAD)575800
Skewness8.8775752
Sum8.9378198 × 109
Variance5.6028175 × 1014
MonotonicityNot monotonic
2023-12-12T16:34:11.536891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 79
 
5.4%
4000000.0 59
 
4.1%
10000.0 34
 
2.3%
400000.0 31
 
2.1%
2728.0 26
 
1.8%
1206.0 24
 
1.6%
6000000.0 23
 
1.6%
8000.0 23
 
1.6%
15000.0 22
 
1.5%
1200.0 18
 
1.2%
Other values (694) 1117
76.7%
ValueCountFrequency (%)
-175710.0 1
 
0.1%
0.0 7
 
0.5%
100.0 79
5.4%
203.0 1
 
0.1%
222.0 1
 
0.1%
377.0 1
 
0.1%
400.0 10
 
0.7%
480.0 2
 
0.1%
482.0 3
 
0.2%
500.0 7
 
0.5%
ValueCountFrequency (%)
352350000.0 1
0.1%
300000000.0 1
0.1%
286190000.0 1
0.1%
275325960.0 1
0.1%
239383000.0 1
0.1%
203448000.0 1
0.1%
200000000.0 2
0.1%
188865370.0 1
0.1%
165600000.0 1
0.1%
156000000.0 1
0.1%

교부(자부담)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct616
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3814272.4
Minimum-175710
Maximum3.5235 × 108
Zeros249
Zeros (%)17.1%
Negative1
Negative (%)0.1%
Memory size12.9 KiB
2023-12-12T16:34:11.736807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-175710
5-th percentile0
Q11832
median171500
Q31975500
95-th percentile15000000
Maximum3.5235 × 108
Range3.5252571 × 108
Interquartile range (IQR)1973668

Descriptive statistics

Standard deviation17811526
Coefficient of variation (CV)4.6697049
Kurtosis184.40121
Mean3814272.4
Median Absolute Deviation (MAD)171500
Skewness12.113465
Sum5.5535805 × 109
Variance3.1725047 × 1014
MonotonicityNot monotonic
2023-12-12T16:34:11.908246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 249
 
17.1%
4000000.0 64
 
4.4%
400000.0 31
 
2.1%
3272.0 18
 
1.2%
1500000.0 18
 
1.2%
8000.0 17
 
1.2%
1920.0 16
 
1.1%
1744.0 15
 
1.0%
700.0 14
 
1.0%
1826.0 14
 
1.0%
Other values (606) 1000
68.7%
ValueCountFrequency (%)
-175710.0 1
 
0.1%
0.0 249
17.1%
204.0 1
 
0.1%
222.0 1
 
0.1%
377.0 1
 
0.1%
500.0 7
 
0.5%
518.0 3
 
0.2%
520.0 2
 
0.1%
572.0 1
 
0.1%
578.0 1
 
0.1%
ValueCountFrequency (%)
352350000.0 1
0.1%
286190000.0 1
0.1%
239383000.0 1
0.1%
203448000.0 1
0.1%
156000000.0 1
0.1%
150000000.0 1
0.1%
123316000.0 1
0.1%
90000000.0 1
0.1%
83699190.0 1
0.1%
80249000.0 1
0.1%

교부(융자)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
0
1456 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1456
100.0%

Length

2023-12-12T16:34:12.066954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:34:12.213525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1456
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
Minimum2023-10-31 00:00:00
Maximum2023-10-31 00:00:00
2023-12-12T16:34:12.311070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:12.415256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T16:34:06.172428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:03.333215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:04.180364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:04.884509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:05.530903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:06.286223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:03.416661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:04.344603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:05.001102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:05.638770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:06.415379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:03.830624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:04.464525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:05.127911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:05.786906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:06.561847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:03.921259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:04.626848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:05.277820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:05.904731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:06.705427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:04.036674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:04.752878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:05.399858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:34:06.032676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:34:12.511489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업시작기간사업종료기간보조사업자정보신청차수보조사업신청일자신청(보조금)신청(자부담)교부결정일자교부(보조금)교부(자부담)
사업시작기간1.0000.1210.9720.0000.9900.9500.9550.9950.9490.949
사업종료기간0.1211.0000.0710.0001.0000.3600.4180.8430.2090.243
보조사업자정보0.9720.0711.0000.0730.9150.1440.0910.9440.0860.044
신청차수0.0000.0000.0731.0000.9740.0000.0000.9730.0000.000
보조사업신청일자0.9901.0000.9150.9741.0000.7130.5990.9970.5980.426
신청(보조금)0.9500.3600.1440.0000.7131.0000.9390.6380.9990.926
신청(자부담)0.9550.4180.0910.0000.5990.9391.0000.6690.9290.999
교부결정일자0.9950.8430.9440.9730.9970.6380.6691.0000.6100.616
교부(보조금)0.9490.2090.0860.0000.5980.9990.9290.6101.0000.938
교부(자부담)0.9490.2430.0440.0000.4260.9260.9990.6160.9381.000
2023-12-12T16:34:12.677546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신청차수신청(보조금)신청(자부담)교부(보조금)교부(자부담)보조사업자정보
신청차수1.000-0.305-0.194-0.300-0.1900.090
신청(보조금)-0.3051.0000.6280.9810.6190.110
신청(자부담)-0.1940.6281.0000.6250.9910.091
교부(보조금)-0.3000.9810.6251.0000.6350.066
교부(자부담)-0.1900.6190.9910.6351.0000.044
보조사업자정보0.0900.1100.0910.0660.0441.000

Missing values

2023-12-12T16:34:06.911545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:34:07.198908image/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

회계년도보조사업명담당부서사업시작기간사업종료기간보조사업자정보신청차수보조사업신청일자신청(보조금)신청(자부담)신청(융자)교부결정일자교부(보조금)교부(자부담)교부(융자)데이터기준일자
020232023년 고품질벼건조기지원사업거창군농업기술센터2023-04-052023-12-31개인12023-01-186000000.08500000.002023-04-056000000.08500000.002023-10-31
120232023년 고품질벼건조기지원사업거창군농업기술센터2023-04-052023-12-31개인12023-01-186000000.08500000.002023-04-056000000.08500000.002023-10-31
220232023년 고품질벼건조기지원사업거창군농업기술센터2023-04-052023-12-31개인12023-01-186000000.08100000.002023-04-056000000.08100000.002023-10-31
320232023년 고품질벼건조기지원사업거창군농업기술센터2023-04-052023-12-31개인12023-01-186000000.08000000.002023-04-056000000.08000000.002023-10-31
420232023년 고품질벼건조기지원사업거창군농업기술센터2023-04-052023-12-31개인12023-01-186000000.08500000.002023-04-056000000.08500000.002023-10-31
520232023년 고품질벼건조기지원사업거창군농업기술센터2023-04-052023-12-31개인12023-01-186000000.08000000.002023-04-056000000.08000000.002023-10-31
620232023년 고품질벼건조기지원사업거창군농업기술센터2023-04-052023-12-31개인12023-01-186000000.08000000.002023-04-056000000.08000000.002023-10-31
720232023년 고품질벼건조기지원사업거창군농업기술센터2023-04-052023-12-31개인12023-01-186000000.08500000.002023-04-056000000.08500000.002023-10-31
820232023년 고품질벼건조기지원사업거창군농업기술센터2023-04-052023-12-31개인12023-01-186000000.08500000.002023-04-056000000.08500000.002023-10-31
920232023년 고품질벼건조기지원사업거창군농업기술센터2023-04-052023-12-31개인12023-01-186000000.08000000.002023-04-056000000.08000000.002023-10-31
회계년도보조사업명담당부서사업시작기간사업종료기간보조사업자정보신청차수보조사업신청일자신청(보조금)신청(자부담)신청(융자)교부결정일자교부(보조금)교부(자부담)교부(융자)데이터기준일자
14462023맞춤형 중소형 농기계 지원사업거창군농업기술센터2023-03-012023-12-31개인52023-09-2115000.016000.002023-09-2515000.016000.002023-10-31
14472023맞춤형 중소형 농기계 지원사업거창군농업기술센터2023-03-012023-12-31개인52023-09-21650.0650.002023-09-25650.0650.002023-10-31
14482023맞춤형 중소형 농기계 지원사업거창군농업기술센터2023-03-012023-12-31개인52023-09-21720.0720.002023-09-25720.0720.002023-10-31
14492023맞춤형 중소형 농기계 지원사업거창군농업기술센터2023-03-012023-12-31개인52023-09-211134.01826.002023-09-251134.01826.002023-10-31
14502023맞춤형 중소형 농기계 지원사업거창군농업기술센터2023-03-012023-12-31개인52023-09-211536.02664.002023-09-251536.02664.002023-10-31
14512023맞춤형 중소형 농기계 지원사업거창군농업기술센터2023-03-012023-12-31개인52023-09-2110000.010500.002023-09-2510000.010500.002023-10-31
14522023맞춤형 중소형 농기계 지원사업거창군농업기술센터2023-03-012023-12-31개인52023-09-2110000.022000.002023-09-2510000.022000.002023-10-31
14532023맞춤형 중소형 농기계 지원사업거창군농업기술센터2023-03-012023-12-31개인52023-09-211250.01250.002023-09-251250.01250.002023-10-31
14542023맞춤형 중소형 농기계 지원사업거창군농업기술센터2023-03-012023-12-31개인52023-09-211206.02144.002023-09-251206.02144.002023-10-31
14552023맞춤형 중소형 농기계 지원사업거창군농업기술센터2023-03-012023-12-31개인52023-09-213408.06592.002023-09-253408.06592.002023-10-31

Duplicate rows

Most frequently occurring

회계년도보조사업명담당부서사업시작기간사업종료기간보조사업자정보신청차수보조사업신청일자신청(보조금)신청(자부담)신청(융자)교부결정일자교부(보조금)교부(자부담)교부(융자)데이터기준일자# duplicates
432023농업기계 등화장치 부착 지원사업거창군농업기술센터2023-03-012023-12-31개인12023-03-10100.00.002023-03-23100.00.002023-10-3179
412023기후변화 대응 과수 관정지원거창군농업기술센터2023-03-152023-12-31개인12023-01-134000000.04000000.002023-03-154000000.04000000.002023-10-3150
372023과수농가 농약 희석기 지원거창군농업기술센터2023-03-202023-12-31개인12023-01-13400000.0400000.002023-03-20400000.0400000.002023-10-3120
1122023원예특작 저온저장고 지원사업거창군농업기술센터2023-03-222023-12-31개인12023-01-182728.03272.002023-03-222728.03272.002023-10-3118
552023맞춤형 중소형 농기계 지원사업거창군농업기술센터2023-03-012023-12-31개인12023-03-101200.01920.002023-03-231200.01920.002023-10-3114
562023맞춤형 중소형 농기계 지원사업거창군농업기술센터2023-03-012023-12-31개인12023-03-101206.01744.002023-03-231206.01744.002023-10-3112
492023맞춤형 중소형 농기계 지원사업거창군농업기술센터2023-03-012023-12-31개인12023-03-10700.0700.002023-03-23700.0700.002023-10-3111
532023맞춤형 중소형 농기계 지원사업거창군농업기술센터2023-03-012023-12-31개인12023-03-101134.01826.002023-03-231134.01826.002023-10-3111
962023사과 비파괴 당도계 지원거창군농업기술센터2023-03-222023-12-31개인12023-01-131500000.01500000.002023-03-221500000.01500000.002023-10-3111
442023농업기계 등화장치 부착 지원사업거창군농업기술센터2023-03-012023-12-31개인12023-03-10400.00.002023-03-23400.00.002023-10-3110