big data 📊 Name Popularity My most recent project has been centered around the data.gov's API containing all of the names and their counts that represent all babies born and registered at birth in the United States. It is a fascinating body of data. And while most of my work has been on aggregating
SQL 😀 JSON to Pandas to SQL: "The Happy Family" In the world of big data, it is inefficient to work with individual, large files that contain the entirety of the data we are working with. It can become slow and unmanageable. So it is often more efficient and economical to save the large amounts of data in a long-term,
sales analysis 📊 Sales Analysis and Visualization in Python You can also work with this notebook interactively here (just click "Run" and choose either on Binder or on Google Colab), or view as PDF here. This is a scrollable notebook version, complete with documentation and explanation:
SQL 📚 SQL-la-la-la! I must admit: having spent so much time with Pandas and all its eloquence when dealing with data, it was hard for me to go back and brush up on my SQL. But I did it. It is just one of those things that I need to be good at,
