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Quick reference that shows options to add plotly charts to a markdown document

ggplot2 for Python is definitely a thing. Oh, and Altair's ok too.

Basic shell scripting for everyday productivity.

Code snippet to create a clean line chart to go in a Dash Card.

Code snippet to create a starter KPI card with Dash Bootstrap Components

Code snippet to create a PnL (Profit and Loss Statement) Dataframe in Pandas

Getting started using the `forecast` package for time series data in R, as quickly as possible and no explanations.

A collection of responses from Caitlin Hudon's twitter thread on 'how to ask a good data question.' (Updated 2020-03-15)

My local data mart runs on MS SQL Server, and I want to pull data directly into R or Python for data analysis. This is **really** easy on Windows with its' built-in ODBC manager, but I spent a weekend figuring out how to do this after switching to OSX. A lot of documentation out there is old (from 2012), so I decided to make this for anyone still looking for an answer in 2019.

Excel is still the lingua franca of Corporate Finance and is blazing fast for quick, ad-hoc analyses. I learned early on to use excel without a mouse, and with the Quick Access Toolbar and some macros, you can even make Excel feel like a video game!