How can we create data visualizations that represent the CS Pioneers Calendar?

Welcome!

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TO DO:

• Open the Pioneers Calendar and slide deck

Session Facilitator

Layla Quiñones

CS4ALL

6- 12 Implementation team

Warm Up

What comes to mind when you think of Data Science?

What is Data Science?

Data Science is a field of study that uses computer science concepts to help analyze, visualize and communicate data to the world.

Focuses on elevating the data narrative - the story that the data is telling us.

What are data visualizations?

Data visualizations are used to help illustrate relationships within the data. This provides evidence for the data narrative.

How do we visualize data?

Identify variables, observations and data types

• Variables: each column/measurement (features)
• Observations: each row/object that is being measured

What are some variable data types?

Quantitative (numerical values): The information is recorded as numbers and represents an objective measurement or a count. Temperature, weight, and a count of transactions are all quantitative data. Analysts also refer to this type as numerical data. Resource

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What are some variable data types?

Qualitative (categorical values): The information represents characteristics that you do not measure with numbers. Instead, the observations fall within a countable number of groups. In fact, this type of variable can capture information that isn’t easily measured and can be subjective. Taste, eye color, race, and marital status are all types of qualitative variables.

What are data visualizations?

Bar charts should be used when comparing categorical and quantitative data.

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Scatter plots should be used when you are exploring how one variable changes with respect to another.

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Line plots should be used when exploring how two continuous values that are continuous respond to one another.

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Pie charts should be used when you are comparing each part of a whole to each other.

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Histograms should be used when using data that counts the number of times a specific data point appears in the data set. Is also used to analyze the distribution of data.

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Box Plot should be used when analyzing the distribution of data

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Why should we create visualizations using the CS Pioneers calendar?

What do each pioneer have in common?

Identify some categories/characteristics we can measure/observe for each pioneer.

Pioneers Calendar

Why should we create visualizations using the CS Pioneers calendar?

Look at the pioneers calendar data set model

• What are questions we can answer using this model?
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Why should we create visualizations using the CS Pioneers calendar?

Does the CS Pioneers Calendar succeed in representing historically excluded groups?

Historically underrepresented groups in tech include:

• Black people
• Hispanic and Latino people
• LGBTQ+
• Women
• …and more

Data Aquisition

How can we create a data set from the pioneers calendar?

• Review the CS Pioneers Calendar
• Identify characteristics that each pioneer has in common:
• For example:
• Race
• Gender
• Related Field
• Month
• Birthdate information (year, month, date)
• ETC
• Note: Students may have to conduct research to uncover the value of each characteristic. Consider modeling for students with one pioneer together

ACTIVITY: Creating a Data Set

• Use the google sheet reviewed in the previous activity to compile a pioneers dataset. Please use the same variables

1. Copy the google sheet and add the CS pioneers using this pioneer calendar AND add one of your own

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2. Submit your dataset in the following form

Data Exploration & Visualization

Why should we create visualizations using the CS Pioneers calendar?

Visualizations helps people understand and interpret relationships between variables.

For example we can identify relationships between:

• Race & gender
• Related field & Umbrella field
• Ethnicity & Race
• Birth Year & Umbrella field

Model: Data Exploration

• Review model pioneers dataset
• What are the variables?
• What are their data types (categorical, numerical, etc)?
• What variables would you add?
• Are there variables that need more information?
• Does any portion of the data need cleaning?

Model Visualization

Ensure you execute the following steps to help you visualize data.

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Checklist:

• Identify question to answer based on data exploration
• Identify variables to visualize
• Clean data (if needed)
• Spelling errors
• Unwanted characters or information
• Missing information
• Choose visualization
• Generate
• Customize
• Interpret

Model Visualization

Question: What races and genders are represented in the pioneers calendar?

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Variables used: Race & Gender - both categorical

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Visualization: Clustered bar chart or stacked bar chart

Model Visualization

• Which do you think is a more efficient visualization?
• What are other types of visualizations you can generate?

Model Visualization

This visualization shows the relationship between race and gender in the CS Pioneers calendar data.

We can see that:

• There is more female representation than male
• In the race category, there is more Black representation than any other race - Asian is the least represented.

MODEL

Model Visualization

This visualization offers the same insight as the previous except for the comparison of the totals for each race (stacked).

MODEL

ACTIVITY: Generating Visualizations

• Use the model dataset in this google sheet or use your own cs pioneers dataset

1. Make a copy of the google sheet and generate your own data visualization.

2. Submit your samples in the following form

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Thank You!

See you next time!