About




I am Mark Roberts

Homebrewer, falafel lover, and (sometimes) runner. I studied Marketing & Entrepreneurship as an undergrad, and I am currently pursuing my Master's Degree in Data Analytics as a full-time student. I am fascinated by the power of data and what it can teach us about the world around us. I created this website to share my analytical explorations. Thanks for joining.

 Feel free to contact me with questions or recommendations for the site.

Popular posts from this blog

Using a Neural Network to Predict Pneumonia From X-Ray Images

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According to the American Lung Association , ' Pneumonia is an infection of the lungs that may be caused by bacteria, viruses, or fungi. The infection causes the lungs' air sacs (alveoli) to become inflamed and fill up with fluid or pus. That can make it hard for the oxygen you breathe in to get into your bloodstream. The symptoms of pneumonia can range from mild to severe, and include cough, fever, chills, and trouble breathing.' Pneumonia Infographic Patients with pneumonia could have the following symptoms: Cough that produces phlegm or sometimes blood Fever Shortness of breath or difficulty breathing Chills or shaking Fatigue Sweating Chest or muscle pain If a person is suspected of having pneumonia, a doctor will begin by asking the patient about their medical history and symptoms. Next will be a physical exam, so the doctor can listen to the patient's lungs. In checking for pneumonia, a doctor will listen for abnormal sounds like crackling, rumbling or wheezing. I
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Using a Neural Network to Classify Lego Figures

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 The efficacy of image classification has grown leaps and bounds in recent years with the advent of neural networks. Without going into too much detail, an artificial neural network consists of a series of layers through which inputs flow becoming output predictions. Each layer is composed of a predetermined number of neurons, and each neuron feeds information to the next layer of neurons via weighted connections. These weights are real numbers that flow from layer to layer eventually reaching an output layer, producing a numerical prediction.  For the purposes of image classification, the inputs are pixels. These pixels are converted to numeric inputs by gray-scale figures or color codes (RBG, hex, etc). The output is the neural network's prediction of what that image contains. The neural network learns using a dataset of labeled images; recording correct predictions and attempting to grasp what elements of a picture correspond to which labels.  This abstract concept can be intui
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Artwork Locator

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 Have you ever wondered where in the world famous artists' work currently resides? I was, so I built this interactive dashboard  (follow the link for the interactive version, below is just a snapshot) to help answer that question. Additionally, the world's largest museums typically only display roughly 5% of their collection at any given time, so I included a graphic outlining the proportion of that artist's work on display vs in storage.  Disclaimer: The data included is a global snapshot gathered in 2016, so changes likely have been made to the locations of certain pieces included in this dataset.
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