Overview

Dataset statistics

Number of variables12
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory106.8 B

Variable types

Categorical4
Text1
Numeric6
DateTime1

Dataset

Description인천광역시 서구 초등학교 무상급식 지원현황에 대한 데이터로 학교명, 급식일수, 급식단가, 재학생수, 지원금액(원) ​등을 제공합니다
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15090934

Alerts

교육지원청 has constant value ""Constant
군구 has constant value ""Constant
추가식품비 has constant value ""Constant
데이터기준일자 has constant value ""Constant
급식단가 is highly overall correlated with 식품비(무상) and 4 other fieldsHigh correlation
식품비(무상) is highly overall correlated with 급식단가 and 4 other fieldsHigh correlation
운영비 is highly overall correlated with 급식단가 and 4 other fieldsHigh correlation
재학생수 is highly overall correlated with 급식단가 and 3 other fieldsHigh correlation
지원금액(원) is highly overall correlated with 급식단가 and 3 other fieldsHigh correlation
식품비(친환경) is highly overall correlated with 급식단가 and 2 other fieldsHigh correlation
식품비(친환경) is highly imbalanced (75.0%)Imbalance
학교명 has unique valuesUnique
지원금액(원) has unique valuesUnique

Reproduction

Analysis started2024-01-28 06:10:57.513435
Analysis finished2024-01-28 06:11:00.259436
Duration2.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육지원청
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
서부
48 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서부 48
100.0%

Length

2024-01-28T15:11:00.505992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:11:00.567176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서부 48
100.0%

군구
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
서구
48 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서구 48
100.0%

Length

2024-01-28T15:11:00.633826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:11:00.697780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 48
100.0%

학교명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-01-28T15:11:00.840989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0625
Min length8

Characters and Unicode

Total characters387
Distinct characters67
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

Unique48 ?
Unique (%)100.0%

Sample

1st row인천서곶초등학교
2nd row인천석남초등학교
3rd row인천백석초등학교
4th row인천가정초등학교
5th row인천신현초등학교
ValueCountFrequency (%)
인천서곶초등학교 1
 
2.1%
인천석남초등학교 1
 
2.1%
인천청라초등학교 1
 
2.1%
인천발산초등학교 1
 
2.1%
인천봉화초등학교 1
 
2.1%
인천은지초등학교 1
 
2.1%
인천가림초등학교 1
 
2.1%
인천왕길초등학교 1
 
2.1%
인천경서초등학교 1
 
2.1%
인천원당초등학교 1
 
2.1%
Other values (38) 38
79.2%
2024-01-28T15:11:01.107249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
천 49
12.7%
초 49
12.7%
인 48
12.4%
등 48
12.4%
학 48
12.4%
교 48
12.4%
가 6
 
1.6%
석 5
 
1.3%
청 4
 
1.0%
신 4
 
1.0%
Other values (57) 78
20.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 387
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 49
12.7%
초 49
12.7%
인 48
12.4%
등 48
12.4%
학 48
12.4%
교 48
12.4%
가 6
 
1.6%
석 5
 
1.3%
청 4
 
1.0%
신 4
 
1.0%
Other values (57) 78
20.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 387
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 49
12.7%
초 49
12.7%
인 48
12.4%
등 48
12.4%
학 48
12.4%
교 48
12.4%
가 6
 
1.6%
석 5
 
1.3%
청 4
 
1.0%
신 4
 
1.0%
Other values (57) 78
20.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 387
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
천 49
12.7%
초 49
12.7%
인 48
12.4%
등 48
12.4%
학 48
12.4%
교 48
12.4%
가 6
 
1.6%
석 5
 
1.3%
청 4
 
1.0%
신 4
 
1.0%
Other values (57) 78
20.2%

급식일수
Real number (ℝ)

Distinct22
Distinct (%)45.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185
Minimum81
Maximum205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-01-28T15:11:01.201529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81
5-th percentile169
Q1187.75
median191
Q3193.25
95-th percentile195.65
Maximum205
Range124
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation22.785774
Coefficient of variation (CV)0.12316635
Kurtosis17.041114
Mean185
Median Absolute Deviation (MAD)3
Skewness-4.0782131
Sum8880
Variance519.19149
MonotonicityNot monotonic
2024-01-28T15:11:01.293560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
189 5
10.4%
191 5
10.4%
193 5
10.4%
195 5
10.4%
190 5
10.4%
194 4
 
8.3%
192 3
 
6.2%
169 2
 
4.2%
179 1
 
2.1%
81 1
 
2.1%
Other values (12) 12
25.0%
ValueCountFrequency (%)
81 1
2.1%
83 1
2.1%
169 2
4.2%
172 1
2.1%
175 1
2.1%
179 1
2.1%
182 1
2.1%
184 1
2.1%
185 1
2.1%
186 1
2.1%
ValueCountFrequency (%)
205 1
 
2.1%
197 1
 
2.1%
196 1
 
2.1%
195 5
10.4%
194 4
8.3%
193 5
10.4%
192 3
6.2%
191 5
10.4%
190 5
10.4%
189 5
10.4%

급식단가
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3013.3333
Minimum2470
Maximum3520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-01-28T15:11:01.384918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2470
5-th percentile2630
Q12856.5
median3014
Q33160
95-th percentile3380
Maximum3520
Range1050
Interquartile range (IQR)303.5

Descriptive statistics

Standard deviation236.90606
Coefficient of variation (CV)0.078619268
Kurtosis-0.25916209
Mean3013.3333
Median Absolute Deviation (MAD)146
Skewness-0.011616714
Sum144640
Variance56124.482
MonotonicityNot monotonic
2024-01-28T15:11:01.478427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3160 6
 
12.5%
3110 4
 
8.3%
3380 4
 
8.3%
3014 3
 
6.2%
2990 3
 
6.2%
3120 3
 
6.2%
2886 2
 
4.2%
2964 2
 
4.2%
2630 2
 
4.2%
2740 1
 
2.1%
Other values (18) 18
37.5%
ValueCountFrequency (%)
2470 1
2.1%
2590 1
2.1%
2630 2
4.2%
2700 1
2.1%
2740 1
2.1%
2750 1
2.1%
2774 1
2.1%
2790 1
2.1%
2794 1
2.1%
2800 1
2.1%
ValueCountFrequency (%)
3520 1
 
2.1%
3448 1
 
2.1%
3380 4
8.3%
3336 1
 
2.1%
3160 6
12.5%
3150 1
 
2.1%
3120 3
6.2%
3110 4
8.3%
3062 1
 
2.1%
3014 3
6.2%

식품비(무상)
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2557.9167
Minimum2115
Maximum2996
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-01-28T15:11:01.566132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2115
5-th percentile2251
Q12436.85
median2569.6
Q32678
95-th percentile2758
Maximum2996
Range881
Interquartile range (IQR)241.15

Descriptive statistics

Standard deviation180.7697
Coefficient of variation (CV)0.070670675
Kurtosis0.30678343
Mean2557.9167
Median Absolute Deviation (MAD)108.4
Skewness-0.10711317
Sum122780
Variance32677.683
MonotonicityNot monotonic
2024-01-28T15:11:01.649969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
2678.0 6
 
12.5%
2652.0 4
 
8.3%
2758.0 4
 
8.3%
2569.6 3
 
6.2%
2549.0 3
 
6.2%
2657.2 3
 
6.2%
2461.0 2
 
4.2%
2527.0 2
 
4.2%
2396.0 2
 
4.2%
2251.0 2
 
4.2%
Other values (17) 17
35.4%
ValueCountFrequency (%)
2115.0 1
2.1%
2217.0 1
2.1%
2251.0 2
4.2%
2320.0 1
2.1%
2353.0 1
2.1%
2361.6 1
2.1%
2378.8 1
2.1%
2396.0 2
4.2%
2400.8 1
2.1%
2430.4 1
2.1%
ValueCountFrequency (%)
2996.0 1
 
2.1%
2969.2 1
 
2.1%
2758.0 4
8.3%
2742.0 1
 
2.1%
2678.0 6
12.5%
2672.8 1
 
2.1%
2657.2 3
6.2%
2652.0 4
8.3%
2610.8 1
 
2.1%
2569.6 3
6.2%

식품비(친환경)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
60
46 
90
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row60
2nd row60
3rd row60
4th row60
5th row60

Common Values

ValueCountFrequency (%)
60 46
95.8%
90 2
 
4.2%

Length

2024-01-28T15:11:01.736206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:11:01.798929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 46
95.8%
90 2
 
4.2%

추가식품비
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
210
48 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row210
2nd row210
3rd row210
4th row210
5th row210

Common Values

ValueCountFrequency (%)
210 48
100.0%

Length

2024-01-28T15:11:01.871136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:11:01.935446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
210 48
100.0%

운영비
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean394.16667
Minimum295
Maximum562
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-01-28T15:11:02.001518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum295
5-th percentile319
Q1359.65
median384.4
Q3418.4
95-th percentile562
Maximum562
Range267
Interquartile range (IQR)58.75

Descriptive statistics

Standard deviation65.574208
Coefficient of variation (CV)0.16636163
Kurtosis1.8798053
Mean394.16667
Median Absolute Deviation (MAD)30.8
Skewness1.379785
Sum18920
Variance4299.9767
MonotonicityNot monotonic
2024-01-28T15:11:02.101003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
422.0 6
 
12.5%
398.0 4
 
8.3%
562.0 4
 
8.3%
384.4 3
 
6.2%
381.0 3
 
6.2%
402.8 3
 
6.2%
365.0 2
 
4.2%
377.0 2
 
4.2%
319.0 2
 
4.2%
327.0 1
 
2.1%
Other values (18) 18
37.5%
ValueCountFrequency (%)
295.0 1
2.1%
313.0 1
2.1%
319.0 2
4.2%
320.0 1
2.1%
327.0 1
2.1%
328.4 1
2.1%
334.0 1
2.1%
335.2 1
2.1%
338.0 1
2.1%
339.2 1
2.1%
ValueCountFrequency (%)
562.0 4
8.3%
534.0 1
 
2.1%
434.0 1
 
2.1%
422.0 6
12.5%
417.2 1
 
2.1%
402.8 3
6.2%
398.0 4
8.3%
391.2 1
 
2.1%
388.8 1
 
2.1%
384.4 3
6.2%

재학생수
Real number (ℝ)

HIGH CORRELATION 

Distinct46
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean689.70833
Minimum9
Maximum2008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-01-28T15:11:02.212926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile229.05
Q1393
median619.5
Q3856.75
95-th percentile1412.7
Maximum2008
Range1999
Interquartile range (IQR)463.75

Descriptive statistics

Standard deviation397.47688
Coefficient of variation (CV)0.57629705
Kurtosis1.5317905
Mean689.70833
Median Absolute Deviation (MAD)242
Skewness1.0773839
Sum33106
Variance157987.87
MonotonicityNot monotonic
2024-01-28T15:11:02.330892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
338 2
 
4.2%
746 2
 
4.2%
1193 1
 
2.1%
579 1
 
2.1%
334 1
 
2.1%
672 1
 
2.1%
524 1
 
2.1%
725 1
 
2.1%
648 1
 
2.1%
1433 1
 
2.1%
Other values (36) 36
75.0%
ValueCountFrequency (%)
9 1
2.1%
173 1
2.1%
228 1
2.1%
231 1
2.1%
276 1
2.1%
297 1
2.1%
310 1
2.1%
323 1
2.1%
334 1
2.1%
338 2
4.2%
ValueCountFrequency (%)
2008 1
2.1%
1547 1
2.1%
1433 1
2.1%
1375 1
2.1%
1270 1
2.1%
1193 1
2.1%
1067 1
2.1%
1063 1
2.1%
1013 1
2.1%
1010 1
2.1%

지원금액(원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63247256
Minimum15897070
Maximum1.6517238 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-01-28T15:11:02.449837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15897070
5-th percentile29528148
Q141209400
median57363340
Q376241500
95-th percentile1.1026648 × 108
Maximum1.6517238 × 108
Range1.4927531 × 108
Interquartile range (IQR)35032100

Descriptive statistics

Standard deviation29327532
Coefficient of variation (CV)0.4636965
Kurtosis2.1150287
Mean63247256
Median Absolute Deviation (MAD)17700095
Skewness1.2169327
Sum3.0358683 × 109
Variance8.6010412 × 1014
MonotonicityNot monotonic
2024-01-28T15:11:02.567803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
57334730 1
 
2.1%
32017030 1
 
2.1%
35831860 1
 
2.1%
54045550 1
 
2.1%
41034410 1
 
2.1%
64435870 1
 
2.1%
62542210 1
 
2.1%
56329190 1
 
2.1%
67033660 1
 
2.1%
57391950 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
15897070 1
2.1%
24245530 1
2.1%
28187980 1
2.1%
32017030 1
2.1%
33867330 1
2.1%
35555820 1
2.1%
35831860 1
2.1%
37055230 1
2.1%
37964020 1
2.1%
38778370 1
2.1%
ValueCountFrequency (%)
165172380 1
2.1%
132765000 1
2.1%
110381480 1
2.1%
110052910 1
2.1%
107708720 1
2.1%
96721810 1
2.1%
91844860 1
2.1%
89092820 1
2.1%
87806690 1
2.1%
86672480 1
2.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2022-09-01 00:00:00
Maximum2022-09-01 00:00:00
2024-01-28T15:11:02.650462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:11:02.714122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T15:10:59.660894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:57.795152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:58.179909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:58.532559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:58.898246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:59.255993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:59.729384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:57.867099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:58.237902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:58.594419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:58.961218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:59.320815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:59.790549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:57.933331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:58.295150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:58.651969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:59.021087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:59.380929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:59.852043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:57.990267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:58.348110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:58.706753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:59.074539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:59.449208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:59.914726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:58.049786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:58.406655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:58.763856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:59.130816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:59.513517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:59.985728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:58.113507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:58.471760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:58.828746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:59.193643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:10:59.587796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T15:11:02.766387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교명급식일수급식단가식품비(무상)식품비(친환경)운영비재학생수지원금액(원)
학교명1.0001.0001.0001.0001.0001.0001.0001.000
급식일수1.0001.0000.0000.0000.0000.0000.2290.000
급식단가1.0000.0001.0001.0001.0000.9570.9160.929
식품비(무상)1.0000.0001.0001.0001.0000.9570.9160.929
식품비(친환경)1.0000.0001.0001.0001.0000.8360.0000.000
운영비1.0000.0000.9570.9570.8361.0000.9310.926
재학생수1.0000.2290.9160.9160.0000.9311.0000.967
지원금액(원)1.0000.0000.9290.9290.0000.9260.9671.000
2024-01-28T15:11:02.852480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급식일수급식단가식품비(무상)운영비재학생수지원금액(원)식품비(친환경)
급식일수1.0000.1310.1290.136-0.0370.0850.000
급식단가0.1311.0001.0000.975-0.942-0.8830.921
식품비(무상)0.1291.0001.0000.975-0.942-0.8830.921
운영비0.1360.9750.9751.000-0.963-0.9300.612
재학생수-0.037-0.942-0.942-0.9631.0000.9670.000
지원금액(원)0.085-0.883-0.883-0.9300.9671.0000.000
식품비(친환경)0.0000.9210.9210.6120.0000.0001.000

Missing values

2024-01-28T15:11:00.098323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T15:11:00.215160image/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

교육지원청군구학교명급식일수급식단가식품비(무상)식품비(친환경)추가식품비운영비재학생수지원금액(원)데이터기준일자
0서부서구인천서곶초등학교18930142569.660210384.4626573347302022-09-01
1서부서구인천석남초등학교17230142569.660210384.4610506635202022-09-01
2서부서구인천백석초등학교19727942396.060210338.01008866724802022-09-01
3서부서구인천가정초등학교18228602439.060210361.0746655963302022-09-01
4서부서구인천신현초등학교19131602678.060210422.0427417573202022-09-01
5서부서구인천석남서초등학교19331102652.060210398.0494472492402022-09-01
6서부서구인천신현북초등학교19431202657.260210402.8575557178902022-09-01
7서부서구인천가좌초등학교19531202657.260210402.8554505318602022-09-01
8서부서구인천신석초등학교19031502672.860210417.2432412677302022-09-01
9서부서구인천봉수초등학교19133802758.060210562.0173242455302022-09-01
교육지원청군구학교명급식일수급식단가식품비(무상)식품비(친환경)추가식품비운영비재학생수지원금액(원)데이터기준일자
38서부서구인천경명초등학교19327402353.060210327.01193967218102022-09-01
39서부서구인천청일초등학교18827742378.860210335.21013890928202022-09-01
40서부서구인천해원초등학교18924702115.060210295.020081651723802022-09-01
41서부서구인천청람초등학교18926302251.060210319.013751103814802022-09-01
42서부서구인천도담초등학교19428862461.060210365.0734677399602022-09-01
43서부서구인천가원초등학교19025902217.060210313.015471327650002022-09-01
44서부서구인천경연초등학교19134482969.290210388.8598718624402022-09-01
45서부서구인천청호초등학교19035202996.090210434.0228355558202022-09-01
46서부서구인천한별초등학교8329642527.060210377.0449338673302022-09-01
47서부서구인천해든초등학교8133802758.060210562.09158970702022-09-01