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Joanna, Briana, Gabriela

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Angela, America, Jocelyn

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Numerical

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Jennifer Diaz, Yulianna, Stephanie

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Carlos, Kellen, Safiya

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Kim, Nickolette, Mia, Wendy

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The box plot is a five number summary
* The minimum value
* The first/lower quartile
* The median
* The third/upper quartile
* The maximum value

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Yasmine, Korina, and Mare

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Kathy, Zohra, Jaydyn

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* Organizes data using five key concepts to summarize big data
* Provides indications of symmetry/skewness in data
* Simple to create/sketch
* Shows the data outliers

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Shows the strength of the correlation between two variables.
Demonstrates positive or negative association between two variables.

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- Not visually appealing
- Takes more time to learn how to read it & learn what each section represents
- Harder to understand

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It is used to find the correlation between 2 variables. the behavior of the dependent variable can be predicted after the correlation is determined. It is Useful when one variable can be measurable and the other cannot.

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Dot plots show the range, outliers, shape and spread of the data. It displays dots above a number line, which show the frequency of each data value. The total number of dots equals the total number of values.

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Discrete Numerical

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Can't label data points, there can be an issue with over plotting, hard to find exact values, can't show the relationship between > variables at a time

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Ages of Oscar Winning Actors from 1975 to 2004

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The graph is telling us that female actors win an Oscar at a younger age compared to males who tend to win at an older age. However, females tend to have more outliers than males at the older age mark.

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Simple to compare frequency within categories or groups

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It can have a legend that specifies what color represent, there could be a stacked bar graph and compares two or more values over time

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This graph is telling us the number of children who have a favorite color of red, blue, green, yellow and pink

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Numerical, it is used to find the mode (how often a number occurs) by diving the frequency by the total number of values in said data set.

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These graphs are used to represent the relationship (in numerical values) between two variables, one on the x-axis and one on the y-axis. This graph shows how the two variables relate to one another meaning how a variable changes in response to the other variable changing.

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What are special characteristics of your type of graph?

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What are special characteristics of your type of graph?

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This graph shows how the two variables relate to one another meaning how a variable changes in response to the other variable changing.

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Pie charts are used to display categorical and nominal data. The slices in the pie chart represent percentages of the total. The display shows all possible values of the variable along with the frequency or the relative frequency.

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What are the advantages to using this type of graph?

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What are the advantages to using this type of graph?

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Line graphs can show trends and help make predictions about the relationship between two variables. The data is very easy to extrapolate from a line graph and these kinds of graphs are also really easy to make. Also these graphs actually can be used to show MULTIPLE different relationships between two variables because multiple lines can be present on a line graph (a key just needs to be provided showing what the different relationships are).

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Aids over the years (infected)

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These graphs help show a data distribution. They provide useful information such as the range, shape, and mode of a set of data. They are used for univariate data when the variable is categorical or quantitative.

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Pie charts are unique because of how they show the data. If one slice of the chart increases, the others have to decrease. This represents a whole-part relationship. This is helpful when looking at how parts of a whole compare in size.

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The disadvantages to a line graph is that it can only represent two variables, the data can be useless and all over the place if there isn't a trend, and it can become cluttered and hard to read quickly.

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It isn't good for large datasets. It can get cluttered and become difficult to read.

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The advantages of a pie chart is that it can summarize a large set of data into  a visual picture. A pie chart is easy to understand and has all data out of 100. Where all of the data in percentages can add up to 100. Pie charts are good to emphasize a point trying to be made and be able to easily compare the data.

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This type of graph is easier to read and comprehend than others. It also summarizes large groups of data is a visual format. It also clearly shows data trends then others.

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HIV Abundance In Both Genders, Over Time

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The disadvantages of a pie chart is that a pie chart does not reveal exact values. Many pie charts fail to give a lot of key information such as causes, affects, patterns or change over time. It can also be easily manipulated to give false impressions. When there’s lots of data to collect, it can make pie charts messy and less effective due to that.

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The pie chart shows how 410 young entrepreneurs across 18 countries' businesses were impacted by COVID-19. The pie chart shows a percentage for each response the researchers received (out of 100%), however, it does not show the exact number of survey participants who gave each response. Although, the exact number can be calculated because the pie chart includes how many people participated in the survey overall.

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This dot plot shows the number of book read during the past summer. From this plot, we can tell that smallest value is 0 and the largest is 9. The variability is skewed to the right and there aren't any outliers.

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No patterns are seen. Some information can be missing or misinterpreted. Assumptions can be made because of the key.

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the graph shows the relationship between how legible a sign is from a certain distance and the ages of different drivers