Data visualizations “Using Tableau”,

In this project, you’ll create visualizations to reveal insights from a data set. You will create data visualizations that tell a story or highlight patterns in the data set. Your work should be a reflection of the theory and practice of data visualization, such as visual encodings, design principles, and effective communication.

you will use this dataset, You can find the dataset Attached

1) Flight Delays and Cancellations

This data comes from a Kaggle dataset, it tracks the on-time performance of US domestic flights operated by large air carriers in 2015.

You are required to create three visualizations. Some questions you may attempt to answer include those pertaining to the following areas:

1.Which airlines or airports have the worst delays? Determine which destinations and arrival destinations have the most delays? Doing this using maps is actually pretty difficult, but you may choose an alternative visual to provide this information. Think about what kind of aggregates might work best to determine which airlines and airports are the best and worst in terms of delays.

2.What causes delays? Think about if you work at an airline and you want to decrease delays. What part of the flight causes the most delays? Do these causes vary by airport or time of year?

3.You can also come up with your own question! As you work with the data, come up with a question you’re curious about and can be answered from the data. Build a dashboard or story to answer your question and lead viewers to that answer.

REQUIREMENTS:

1-The visualization centers on a specific, clear finding in the data.

2- The selected finding is clearly communicated. Design choices foster communication between the reader and the visualization.

Visualization does not add additional colors, shapes, or other design elements in an unnecessary way. Rather, each additional element should add to the insight being made.

3- The written summary should include a brief description of the visualization and state at least one finding.

A reader’s summary of the graphic would closely match the written summary in the writeup, and a reader is able to identify at least one main point or relationship that the graphic attempts to convey.

4- The visualization includes interaction or animation. The inclusion of filters and additional variables shown in tool tip as appropriate within the visualization interaction are present.

At minimum you are required to include a filter in one visualization and you are required to include a tool tip in at least one visualization. You should strive to include these anywhere where they would benefit your visualization.

5- Color choices must accurately reflect the data and be chosen with accessibility in mind. For example, values that span from negative to positive numbers should be encoded with a diverging palette. Also, the color palettes should work for colorblindness.

6- Line plots for sequences, bar charts for categorical variables, etc.

7- The three visualizations are included. These visualizations may be a single worksheet, but at least one must be a dashboard involving more than one worksheet. A dashboard counts as a single visualization. All visualizations must be clearly connected to a finding, and foster the interaction pieces (filters, colors, etc.) that allow for the finding to be found easily by a user.

One Dashboard is required. A Dashboard is an option in Tableau that allows you to combine multiple charts into one page. This counts as 1 visualization.

Two other unique visualizations are also required, These can be two single worksheets, two more dashboards, two more stories, or any combination of worksheet, dashboard, or story.

8- The visuals need to be saved to Tableau Public and the links to those visuals must be provided in the report along with the finding for each visual.

If you are unable to save to Tableau Public please include screenshots in your pdf report of each visualization. If you choose to use screenshots you should include at least one screenshot of your filters being used (a before and after picture of the visualization).

9- The insight(s) should be accurate and easily available from the filters and interactivity available in the visual.

10- Each visual must be appropriate for the particular data type. However, you cannot submit three bar charts, or three line charts. You should have a minimum of at least three different types of visuals across all of your turned in items.

3 Different types of charts required, here are some types you can choose

Bar Chart

Line Chart

Scatter Chart

Histogram

Bubble Chart

Map

Area Chart

Pie Chart
etc

REMINDERS:

Your visualization work should use Tableau: other visualization tools may not be evaluated by reviewers.

Remember that your visualization should be explanatory in nature and communicate specific results that you want to show.

Submission

A PDF report that includes the following sections:

oLinks to your dashboards or story

oSummary: a brief description of the visualization and the main story or findings conveyed

oDesign: explain any design choices you made including changes to the visualization after collecting feedback

oResources: list of Web sites, books, forums, blog posts, GitHub repositories, etc that you referred to or used in this submission (Add N/A if you did not use such resources).

PROJECT WALKTHROUGH:

You must watch the instructor walk through the flights data and address how to get started in this project: https://www.youtube.com/watch?v=9xqHA732LMA&feature=youtu.be

Review the column Metadata :

Some of the columns you want to use in the project will have coded values that represent longer more readable values. For instance the cancellation_reason column in the flights data set has the values: A, B, C, D These letters are not understandable by themselves. You need to replace these letters with the full reason to make your visualizations including this data more readable.

These letters correspond with the following reasons.

A – Airline/Carrier

B – Weather

C – National Air System

D – Security

You should review the Column Metadata, Link here: https://www.kaggle.com/usdot/flight-delays/data

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