Deedle: Effective Data & Time Series Analysis with Tomas Petricek
Deedle is a new open-source library for data and time series manipulation. It supports wide range of operations such as slicing, joining and aligning, handling of missing values, grouping and aggregation, statistics and more. Deedle is written in F#, but it also provides an easy to use C# interface.
In this talk, we’ll demonstrate Deedle by analyzing time series financial data from historical Yahoo stock prices. Then we’ll try to understand the US government spending with data from Freebase and WorldBank and finally, we’ll explore the Titanic survivals data set.
Although the main focus of the talk is the Deedle library, we will demonstrate the entire “data science” stack for F# along the way. We will:
- Use F# Data type providers to fetch data from the internet
- Align, process and explore data using Deedle
- Perform advanced statistical computations using the R type provider
- Visualize data using R’s ggplot and F# Charting
YOU MAY ALSO LIKE:
Deedle: Effective Data & Time Series Analysis with Tomas Petricek
Tomas Petricek
Tomas is a computer scientist and open-source developer. He is a Visiting Researcher at the Alan Turing Institute working on tools for open data-driven storytelling. He wrote a popular book called "Real-World Functional Programming" and is a lead developer of several F# open-source libraries.