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McGlash/README.md

Hi there 👋

What makes for a great insight?

As an insights professional, it is that electric aha! moment when you present a finding to a client that illuminates an opportunity.

I had my own aha! moment about the future of market research and clients’ evolving needs. It catalyzed me to hone my data analytics (Hello World!) capacities.

Please see Repositories for examples of my capabilites.

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  1. Mars-Mission-Webpage Mars-Mission-Webpage Public

    Web page displaying information scrapped from various mars mission sources. Web scrapping via python, storage in MongoDB, and deployment to a web page via Flask.

    Jupyter Notebook

  2. Toronto_Rental_Market_Project Toronto_Rental_Market_Project Public

    Forked from bnarath/Toronto_Rental_ETL_Project

    Scrapped rental posting, income and community resource data. Loaded into a SQLite database. Database accessible via an API call.

    Jupyter Notebook

  3. YouTube-Trending-Analysis YouTube-Trending-Analysis Public

    Forked from bnarath/YouTube_Trending

    Examined factors impacting how long YouTube videos trended in 10 countries. Enhanced an existing data set via API calls.

    HTML

  4. Weather-vs.-Latitude---Data-Visualization-Webpage Weather-vs.-Latitude---Data-Visualization-Webpage Public

    Developed a dashboard to display findings of weather measures vs. latitude analysis.

  5. American-Health-Indicators---D3-Dashboard American-Health-Indicators---D3-Dashboard Public

    Created interactive graph using D3 to visualize health risk indicators relative the demographics of Americans

  6. Belly-Button-Biodiversity-Dashboard Belly-Button-Biodiversity-Dashboard Public

    Developed a dashboard visualizing the belly button diversity of participants in a research study. Using d3.js and plotly, developed a web page that enables users to toggle between the findings of d…