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data management summary notes, Cheat Sheet of Database Management Systems (DBMS)

University of TorontoDatabase Management Systems (DBMS)

data management summary notes that include graphs and other collections of data

Typology: Cheat Sheet

2021/2022

Uploaded on 11/13/2025

bianca-asmr
bianca-asmr 🇨🇦

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Section 1: Central Tendencies, Spread and Graphing. Country Covid - 19 Cases (Per 100,000) (%)
Country Mortality Rate (Per 1000) (%) This data is right skewed with a mean of 6.31 which is a bit larger than the median of 6.1. The mode is 5.1 Peru 4.9
Peru 5.6 which is telling us that more countries have reported their mortality rates to be 5.1. From this data we can see Chile 1.2
Chile 6.3 that there are some outliers and it is impacting the analysis of the data. The median being a slightly lower number than Brazil 1.9
Brazil 6.6 the mean indicates that majority of the data is at the lower end of the graph. Both of the charts are showing that the
Trinidad and Tobago
2.3
Trinidad and Tobago
8.6 data is right skewed. In the second colomn of the histogram, it has a little bit more data than the rest and the box and Argentina 1.3
Argentina 7.6 whisker plot is showing that by the whisker at the top representing the outliers in the data since the top whisker is a bit Colombia 2.2
Colombia 5.7 longer than the bottom one. The interquartile range is 2, the standard deviation and variance show that the points are Paraguay 2.5
Paraguay 5.6 slightly closer to the mean however the outliers are the reason why this number is slightly higher. The range being 5 Mexico 4.5
Mexico 6.1 comes from the highest mortality rate being 9.5, the country being Uruguay subtracted from the lowest mortality rate Uruguay 0.7
Uruguay 9.5 being 4.5, the country being Honduras. Ecuador 3.4
Ecuador 5.1 Panama 0.8
Panama 5.1 Costa Rica 0.8
Costa Rica 5.2 Belize 1
Belize 4.8 Jamaica 2.3
Jamaica 7.6 Guatemala 1.6
Guatemala 4.7 Honduras 2.4
Honduras 4.5 El Salvador 2.1
El Salvador 7.1
Dominican Republic
0.7
Dominican Republic
6.2 Venezuela 1.1
Venezuela 7.1 Haiti 2.5
Haiti 8.5 Nicaragua 1.6
Nicaragua 5.1
Central Tendencies
Central Tendencies Mean 1.99047619
Mean 6.314285714 Median 1.9
Median 6.1 Mode 2.3
Mode 5.1
Spread
Spread Range 4.2
Range 5 Q1 1.1
Q1 5.1 Q3 2.4
Q3 7.1 IQR 1.3
IQR 2 Standard Deviati 1.162714394
Standard Deviation
1.41572798 Variance 1.351904762
Variance 2.004285714
Min Q1 Median Q3 Max Min Q1 Median Q3 Max
Dependent Variable
4.5 5.1 6.1 7.1 9.5
Independent Variable
0.7 1.1 1.9 2.4 4.9
Country Murder Cases (Per 100,000) (%) This data is right skewed with a mean of 1.99 which is a bit larger than the median of 1.9. The mode is 2.3 which is telling us that more countries have reported their Covid
Peru 8.3 cases to be 2.3. From this data we can see that there are some outliers and it is impacting the analysis of the data. The median being a slightly lower number than the
Chile 3.7 mean indiciates that majority of the data is at the lower end of the graph. Both of the charts are showing that the data is right skewed. In the first colomn of the histogram,
Brazil 19.3 it has a little bit more data than the rest and the box and whisker plot is showing that by the whisker at the top representing the outliers in the data since the top whisker is
Trinidad and Tobago
28.2 a bit longer than the bottom one. The interquartile range is 1.3, the standard deviation and variance show that the points are slightly closer to the mean however the
Argentina 4.6 outliers are the reason why this number is slightly higher. The range being 4.2 comes from the highest amount of Covid cases being 4.9, the country being Peru
Colombia 24.3 subtracted from the lowest amount of Covid cases being 0.7, the country being Uruguay.
Paraguay 6.6
Mexico 27
Uruguay 9.3
Ecuador 7.7
Panama 11.6
Costa Rica 11.2
Belize 24.3
Jamaica 46.5
Guatemala 15.3
Honduras 37.6
El Salvador 19.7
Dominican Republic
9
Venezuela 45.6
Haiti 13
Nicaragua 4.4
Central Tendencies
Mean 17.96190476
Median 13
Mode 24.3
Spread
Range 42.8
Q1 8.3
Q3 24.3
IQR 16
Standard Deviation
1.41572798
Variance 170.1234762
Min Q1 Median Q3 Max
Independent Variable
3.7 8.3 13 24.3 46.5
This data is right skewed with a mean of 17.96 which is larger than the median of 13. The mode is 24.3 which is telling us that more countries have reported their murder
cases to be 24.3. From this data we can see that there are some outliers and it is impacting the analysis of the data. The median being a lower number than the
mean indiciates that majority of the data is at the lower end of the graph. Both of the charts are showing that the data is right skewed. In the first colomn of the histogram,
it has more data than the rest and the box and whisker plot is showing that by the whisker at the top representing the outliers in the data since the top whisker is
longer than the bottom one. The interquartile range is 1.3, the standard deviation and variance show that the points are closer to the mean however the
outliers are the reason why this number is higher. The range being 42.8 comes from the highest amount of murder cases being 46.5, the country being Jamaica subtracted
from the lowest amount of murder cases being 3.7, the country being Chile.

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Section 1: Central Tendencies, Spread and Graphing. Country Covid - 19 Cases (Per 100,000) (%) Country Mortality Rate (Per 1000) (%) This data is right skewed with a mean of 6.31 which is a bit larger than the median of 6.1. The mode is 5.1 Peru 4. Peru 5.6 which is telling us that more countries have reported their mortality rates to be 5.1. From this data we can see Chile 1. Chile 6.3 that there are some outliers and it is impacting the analysis of the data. The median being a slightly lower number than Brazil 1. Brazil 6.6 the mean indicates that majority of the data is at the lower end of the graph. Both of the charts are showing that the Trinidad and Tobago 2. Trinidad and Tobago 8.6 data is right skewed. In the second colomn of the histogram, it has a little bit more data than the rest and the box and Argentina 1. Argentina 7.6 whisker plot is showing that by the whisker at the top representing the outliers in the data since the top whisker is a bit Colombia 2. Colombia 5.7 longer than the bottom one. The interquartile range is 2, the standard deviation and variance show that the points are Paraguay 2. Paraguay 5.6 slightly closer to the mean however the outliers are the reason why this number is slightly higher. The range being 5 Mexico 4. Mexico 6.1 comes from the highest mortality rate being 9.5, the country being Uruguay subtracted from the lowest mortality rate Uruguay 0. Uruguay 9.5 being 4.5, the country being Honduras. Ecuador 3. Ecuador 5.1 Panama 0. Panama 5.1 Costa Rica 0. Costa Rica 5.2 Belize 1 Belize 4.8 Jamaica 2. Jamaica 7.6 Guatemala 1. Guatemala 4.7 Honduras 2. Honduras 4.5 El Salvador 2. El Salvador 7.1 Dominican Republic 0. Dominican Republic 6.2 Venezuela 1. Venezuela 7.1 Haiti 2. Haiti 8.5 Nicaragua 1. Nicaragua 5. Central Tendencies Central Tendencies Mean 1. Mean 6.314285714 Median 1. Median 6.1 Mode 2. Mode 5. Spread Spread Range 4. Range 5 Q1 1. Q1 5.1 Q3 2. Q3 7.1 IQR 1. IQR 2 Standard Deviati 1. Standard Deviation 1.41572798 Variance 1. Variance 2.

Min Q1 Median Q3 Max Min Q1 Median Q3 Max Dependent Variable 4.5 5.1 6.1 7.1 9.5 Independent Variable 0.7 1.1 1.9 2.4 4.

Country Murder Cases (Per 100,000) (%) This data is right skewed with a mean of 1.99 which is a bit larger than the median of 1.9. The mode is 2.3 which is telling us that more countries have reported their Covid Peru 8.3 cases to be 2.3. From this data we can see that there are some outliers and it is impacting the analysis of the data. The median being a slightly lower number than the Chile 3.7 mean indiciates that majority of the data is at the lower end of the graph. Both of the charts are showing that the data is right skewed. In the first colomn of the histogram, Brazil 19.3 it has a little bit more data than the rest and the box and whisker plot is showing that by the whisker at the top representing the outliers in the data since the top whisker is Trinidad and Tobago 28.2 a bit longer than the bottom one. The interquartile range is 1.3, the standard deviation and variance show that the points are slightly closer to the mean however the Argentina 4.6 outliers are the reason why this number is slightly higher. The range being 4.2 comes from the highest amount of Covid cases being 4.9, the country being Peru Colombia 24.3 subtracted from the lowest amount of Covid cases being 0.7, the country being Uruguay. Paraguay 6. Mexico 27 Uruguay 9. Ecuador 7. Panama 11. Costa Rica 11. Belize 24. Jamaica 46. Guatemala 15. Honduras 37. El Salvador 19. Dominican Republic 9 Venezuela 45. Haiti 13 Nicaragua 4.

Central Tendencies Mean 17. Median 13 Mode 24.

Spread Range 42. Q1 8. Q3 24. IQR 16 Standard Deviation 1. Variance 170.

Min Q1 Median Q3 Max Independent Variable 3.7 8.3 13 24.3 46.

This data is right skewed with a mean of 17.96 which is larger than the median of 13. The mode is 24.3 which is telling us that more countries have reported their murder cases to be 24.3. From this data we can see that there are some outliers and it is impacting the analysis of the data. The median being a lower number than the mean indiciates that majority of the data is at the lower end of the graph. Both of the charts are showing that the data is right skewed. In the first colomn of the histogram, it has more data than the rest and the box and whisker plot is showing that by the whisker at the top representing the outliers in the data since the top whisker is longer than the bottom one. The interquartile range is 1.3, the standard deviation and variance show that the points are closer to the mean however the outliers are the reason why this number is higher. The range being 42.8 comes from the highest amount of murder cases being 46.5, the country being Jamaica subtracted from the lowest amount of murder cases being 3.7, the country being Chile.