ZedR Blog - Data Science . R . Stock Markets

A Data Science Blog

  • Deploying Metabase through Heroku App

    In this mini project, I deployed my first Metabase through the Heroku App. Metabase is an open source business intelligence engine. It allows for company wide sharing of business insights with very little demand for techinical know-how. You can build powerful business data models using SQL and through the menu based report mechanism.

  • #DataHack4Fi twitter data

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  • African Markets indices tracker

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  • Money is everything, but you haven't met Open Source Software maintainers

    For profit centred enterprises, it is not surprising when you encounter their overly aggressive marketing campaigns, which mostly have an end result of them trying to squeeze every penny from you as a customer. At the end of the day, you pay even for a service and product that is not satisfactory or worse, not worth you hard earned money. Conversely, for a few months now, I have been using many Open Source Software.

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  • Thoughts to Words - An Introduction to Aaron Simumba's Website

    This post was originally submitted to the Rbind support website. Introduction Hi, my name is Aaron Simumba, and you can find my website on the following URL: https://asimumba.rbind.io/. And on Github, plus you can follow me on Twitter. A brief background about myself: I often like to refer to myself as a “Lost Accountant” - because professionally I trained as an accountant, who lost his way to practise accounting and ended up into the data science space.

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  • Demo: Embedding Tableau public Visualizations

    In this short demo, I implement how to embed Tableau public visualizations on the personal website.This implementation is achieved through using iframe. The embed link from a Tableau public visualization has to be enclosed with the <iframe> </iframe> tag. I created a visualisation of LuSE listed companies for demonstration using data from Africa Markets. The visualization below is embedded with the following code: <iframe src="https://public.tableau.com/views/StockMarkets/LUSEKPI?:showVizHome=no&:embed=true" width="652px" height="756px" style="border: 0px;" scrolling="no"> </iframe> NOTE: You must strip off the extra text from the URL to the right side of the ?

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  • Breathing life back into PDF presented Data

    Installation Tidying the data Welcome to the tidyverse universe It is almost not surprising to find most of the summarised data is presented in the form of a report - whose format is mainly Portable Document Format (PDF). The challenge is when you would like to access that data in a dynamic format and form - where it can be analysed, reformatted and reshaped to your desire; a requirement which is hard, if not impossible to achieve with data presented in a PDF report.

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  • Let twitter do the job

    One of the most exciting things I’ve been able to do in the past few months, has been my rekindled interest in blogging. No matter how trivial the idea that comes to mind is, I find myself constantly wanting to put it in words and hang it somewhere on this site. Although, this may seem like an obsession; you never know who is reading or interested in your thoughts, no matter how non-bearing they may seem.

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  • Mapping the Location of Twitter Followers and Following in R

    Mapping followers and Following locations It is always nice to capture how wide and dense your twitter interactions spread. More so, the spread and locations of your twitter followers and those you are following. Making use of the twitteR package, and the inspiration from a post written by Jeff Leek, I attempt to map my followers’ locations and those I follow on twitter. Jeff Leek wrote a twitterMap()function that lets you map the locations of your twitter followers and those you follow, the script that holds the function can be downloaded here.

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  • Mobile and Internet Penetration in Zambia

    Prerequisites Data Second quarter statistics from ZICTA Number of active users Change in the active user base Domestic calls Traffic - Incoming and Outgoing International incoming and outgoing traffic Network Coverage Internet Penetration Internet subscribers Vs Penetration per 100 inhabitants Cost differentials Mobile voice call cost per/minute In this post, I take an Exploratory Data Analysis (EDA) of the mobile phone and internet user data statistics for Zambia.

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