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Richard Muir's Projects

blog-posts icon blog-posts

A place to store the data and code for the charts I use in my Medium blog posts

dash-css icon dash-css

A place to store CSS stylesheets for Plotly Dash apps

data-science-ipython-notebooks icon data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

debt-to-gdp icon debt-to-gdp

Get, manipulate and visualise data on countries' debt-to-GDP ratios and GDP growth rates.

deprivation-in-england icon deprivation-in-england

iPython notebook with the code I wrote to manipulate the data and create the graphs for my economic analysis blog at https://cheekynomics.wordpress.com/2015/09/30/deprivation-in-england/

exploring-vr icon exploring-vr

Playground for using aframe.js & d3.js to create VR dataviz.

indicators-of-deprivation icon indicators-of-deprivation

An analysis of if and how religion, ethnicity, population density, age distribution and communal living affects the deprivation score for LADs in England

life-expectancy icon life-expectancy

An interactive D3 & Plotly visualisation which allows you to explore life expectancy data for males & females in the UK.

plotly-dash-layouts icon plotly-dash-layouts

Contains different examples of Plotly Dash layouts using the Plotly Dash CSS file provided.

pythonplot.com icon pythonplot.com

📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seaborn, and Matplotlib.

tableau-js-embed icon tableau-js-embed

Sandpit for developing a JS script to extract filter values from a Tableau WB.

women-in-science icon women-in-science

A 'just because you can, does not mean that you should' visualisation using Plotly to place pie charts on a scatterplot.

worst-accidents-uk icon worst-accidents-uk

This is a Plotly Dash app to visualise and explore the worst accidents that happened in the UK. Data is from https://data.gov.uk/dataset/road-accidents-safety-data

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