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Tableau

I am someone that has both an analytical brain and a creative mind.  Tableau is a software that has allowed me to utilize both of these sides of myself.  Tableau has all of the data analysis capabilities as excel and similar software, but formats it in a way to easily visualize it.  By analyzing data and then creating visualizations in the same software, it saves time and allows for an environment where everything works together seamlessly.  I continue to pursue my passion with Tableau by working towards a Tableau Certification.

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Below are some examples of the Tableau analysis and visualizations that I have worked on.  Please click the link below each image to visit the visualization on my Tableau Public web page.  Here you will be able to interact with the visualizations and see the data within it by hovering over the various aspects.

This is one of my favorite visuals I have done so far.  This map shows flight path data.  Each path will give you the destination and origin airports.

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Flight data can be used in many different ways.  One method could be to filter data for one origin airport, say Atlanta, Georgia, we can see all the destinations that airport services.  How do we optimize these flights out of one of the worlds busiest airports?  Is there a higher concentration of flights from Atlanta to one region in particular?

Global Flight Paths analyzed in Tableau

Here we have climate data from Canada showing the average temperature for each province from 1970 through 2019.  Average temperatures are color coded with dark blue being the coldest and dark red being the warmest.

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As the animation plays out, you can see the shift in average temperature over the last five decades.

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Further analysis can be done to answer questions such as, Why do some provinces seem to warm up more over time while others remain relatively unchanged?, or, Can a correlation be found between warming temperatures and the increase or decrease in plant and animal life?

To the right is a heat map of the New York City neighborhoods and the frequency of AirBnB listings.  When hovered over in Tableau (click link below image), you will see relevant data such as Neighborhood name and average price of listings.

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Manhattan, unsurprisingly, has the most listings and the further out you get, the fewer there are.  

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Use this to determine whether investing in a rental property in a specific area is worth it due to saturation or whether average rental prices make sense based on a purchase price.

AirBnB Frequency Data for New York City, analyzed in Tableau.
Linguistic Data for the state of New York, analyzd in Tableau.

This map of the state of New York uses linguistic data to look at Spanish speaking households.  The Bronx has always been known to have the most Spanish speaking citizens, but how does this compare to the rest of the state?

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Visit the link below the image to interact with the visual.

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Data for each county shows the number of households that speak Spanish compared to the average for the state.

SARAH

SMITH

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