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
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:
australia 🇦🇺 Australian Rainfall Prediction It is amazing how many hours one can spend with data and get...well...50 cells along in an ENTIRE day! But I did learn a lot about what one CAN and canNOT do to sweet talk decision trees and random forest models. I tried and tried to get data
plotly 📊 Plotly: the great and the disappointing (Jupyter Notebook link for this project) I was a BUSY girl today! I just spent an entire Sunday, as in a whole 10 and a half hours, learning the ins and outs of Plotly and some very cool dynamic data visualization. I also ran into some GIGANTIC road blocks in
