pandas - Evan Marie Carr

📈 Alpha Vantage API Overview

I spent some time recently working with the Alpha Vantage API for financial data, and while the experience left me slightly underwhelmed, there were still some worthwhile aspects of the API that I feel deserve acknowledgement. The first thing I really appreciate about Alpha Vantage is the people. When I

data analysis

Names and What They Say

An investigation into names, trends, and what they reflectGitHub Gist | Interactive Jupyter | PDF Notebook It has been a while since I becameas enmeshed with a set of data as I did with this one. While a huge part of me repeatedly found places where I could easily call the project

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,

API

🧹 APIs, JSON, and Data Cleaning

Real world data is NEVER as clean as the nicely prepared files data science nuts like to download for projects from Kaggle and the like. But the plus side to real world data is that there are no limits to the data available, as long as you know how to

pandas

🎬 The Power of Pandas! 🎥

(To view the complete notebooks related to this project, please visit my resources page, and navigate to the 12 Advanced Projects: Data Science with Pandas section.) There is A LOT to Pandas, and because the possibilities are so vast when working with this essential library, sometimes it is hard to

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

project

🛸 Finding Patterns in UFO Sightings Data

(12 September 2022) The following notebook contains the entire project and all commentary and descriptions. Enjoy!