Data Analysis
with Lee Hawthorn
Blog
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Blog
2022
Audio on Linux
January 16, 2022
2021
Python Text Tips
July 4, 2021
Handling deeply nested JSON with Python
June 1, 2021
2020
Scraping Open Table data with Selenium and Beautiful Soup
September 16, 2020
Allocating facts in a many to many model
August 15, 2020
Python script to get data for Power BI
July 4, 2020
2019
Making a classification prediction with neural networks
June 15, 2019
Using an R Dataframe as a Power BI source
June 15, 2019
Cleaning Football Data with R Tidyverse
June 10, 2019
SSIS Dependency Diagram with DiagrammeR and Sprockit
June 5, 2019
Google Trends with R stats
June 4, 2019
Installing R Stats on Linux
June 1, 2019
Optimising Power BI Dashboards
June 1, 2019
Getting started with Apache Spark
May 29, 2019
Process Time Sheet Data
May 20, 2019
Call SSAS OLAP cubes from R stats
May 17, 2019
Python Dashboard
April 14, 2019
Business Analysis for BI
April 14, 2019
Consume R functions from Power BI
April 14, 2019
Collecting Requirements for BI
April 14, 2019
2018
Data Analytics modelling, why tune by hand?
December 1, 2018
Cleaning Data with SQL
December 1, 2018
2016
Scraping data with R
January 1, 2016
2015
Why is R so useful
May 30, 2015
Ultimate Tour
January 1, 2015
Interactive Time Series in 3 lines of R
January 1, 2015