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    #SWDChallenge: a makeover

    The #SWDChallenge this month is a makeover project. The challenge instructions come with a wonderful article by Elizabeth Ricks of SWD on the art of undertaking chart makeovers. I found the article very insightful and I took a lot of notes. In a nutshell, here are a few steps to get started with doing “good…

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  • Nike in Asia

    Nike in Asia – Visualization project

    This visualization project was created as part of the MakeOverMonday project. Dataset The dataset for this project is hosted on Data.world The original visualization My goals with this visualization project: My main goal with this project was to make it Explanatory. I set out to answer these questions with this project: Where does Nike have the most number…

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  • Conditional Colouring in Scatter Plots

    How to add conditional colouring to Scatterplots in Excel

    In this tutorial, we will see how to add conditional colouring to scatterplots in Excel. I came across this trick when I was creating scatterplots for an article on Gestalt laws. I wanted the dots on the plot to be in 3 different colours based on which group they belonged to. There isn’t a straightforward way…

    Read More How to add conditional colouring to Scatterplots in ExcelContinue

  • Gestalt Laws

    Gestalt Laws Applied to Data Visualization

    Gestalt is German for “Unified Whole”. Gestalt psychologists Max Wertheimer, Kurt Koffka and Wolfgang Kohler sought to understand how we humans make sense of what we see from the chaotic stimuli around us. Their findings were that we seek to form patterns, group objects in particular ways and simplify complex images. The main principle of…

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  • data_general

    Exploratory Vs. Explanatory Analysis

    When working with data, it is important to understand the purpose of data analysis. Though the end result of a data analysis process may be a single visualization, there are various stages this analysis goes through. Broadly, there are 2 types of data analysis: Exploratory analysis – Exploratory analysis is often the first step of…

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  • D3-Diversity

    How diverse are the Silicon Valley Technology Companies?

    Reporters from the Center for Investigative Reporting sought employee diversity data from 211 technology companies in San Fransisco. A couple of dozen companies shared their data. Here is a visualization of how race and gender diversity for 23 companies in Silicon Valley. The data was analysed using R and the visualization is using d3.js. 

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  • pie-comparisons

    Pie charts do not work well for comparisons

    Pie charts are the most controversial charts in Data Visualization. With arguments ranging from don’t use pie charts ever to let’s use them when appropriate, there are a lot of opinions on pie charts. Rightly so. Because there is so much we still do not understand about pie charts and let’s face it, there are…

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