Examining NetCDF Files in R

I am currently working for a non profit organisation, working on enhancing the interaction between the energy industry and the weather, climate and broader environmental sciences community.

Not coming from a climate science background, I had to become quickly accustomed to the terminology and technologies associated with this field of research. A commonly used file types produced to represent weather and climate data, are Network Common Data Files (aka NetCDF files).

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Google Analytics Certificate

As I’ve been using Google Analytics daily for the past year, I thought it was high time I got properly certified. I completed the beginners course on Analytics Academy today and picked up some useful tips I hadn’t been utilising. Will be doing the intermediate and advanced courses in the coming weeks.

Sixteen47 Fashion Blog

Sixteen47 Blog.

Sixteen47 Ltd (Dawn French and Helen Teague) hired me to develop an online marketing strategy and social media campaign for their exclusive plus size clothing brand. This included creating a blog website to host archive material and discussion topics relevant to the companies interests. I worked closely with Sixteen47 to ensure the design was suitably customised to match their distinctive brand aesthetics.

Nodebox Experiments

Recently I have been looking into new and interesting ways of visualising data. I stumbled across an excellent suite of open source tools called nodebox (http://nodebox.net) so decided to have a play.

I have experimenting with nodebox v3 for a couple of days and found it really quick and intuitive to make some nice generative animations. You can watch them at: https://www.instagram.com/mrlukesanger/

Wha initially interested me in nodebox is the fact it can accept CSV files. So the next step is to load up some datasets and seeing what kind of data visualisations are possible.


Tweet Analyser

The beta of my web app for performing sentiment analysis on tweets is online:


Simple to use. Just type in a word you want to search, press the button and wait for the result. The app collects the most recent 1000 tweets containing your keyword.

The Word Cloud tab displays the most commonly featured words that appear in tweets alongside the search keyword.

The Sentiment tab displays a table showing the overall sentiment of the tweets. The sentiment analysis algorithm is built upon the NRC Word-Emotion Association Lexicon (aka EmoLex)


This app was created using R and  Shiny and is intended for educational purposes only.

# ggplot2 bar chart design adapted from an excellent tutorial by J.Silge (http://juliasilge.com/blog/Joy-to-the-World/)
# word cloud adapted from shiny word cloud tutorial (http://shiny.rstudio.com/gallery/word-cloud.html)
# tweet data cleansing adapted from sentiment package tutorial (https://sites.google.com/site/miningtwitter/questions/sentiment/sentiment)
# sentiment analysis process adapted from syuzhet tutorial (https://cran.r-project.org/web/packages/syuzhet/vignettes/syuzhet-vignette.html)