Category: Data Vizualisation

Feed: R-bloggers. Author: mrtnj. Tidy Tuesday is a fun weekly activity where a lot of R enthusiasts make different visualisations, and possibly modelling, of the same dataset. You can read more about it at their Github page. I participated for three weeks, and here is a recap. I will show excerpts of the code, but you can read the whole thing by clicking through to Github. Data: https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-22 My code: https://github.com/mrtnj/rstuff/blob/master/tidytuesday/horror_movies.R In time for Halloween, we got a dataset with horror film data from IMDB. (Yes, I will be mixing the terms ”film” and ”movie” wildly.) The first week, I ... Read More

Feed: R-bloggers. Author: Gary Hutson. Motivation for this The background to this package linked to a project I undertook about a year ago. The video relates to the project and the how R really sped up the process. The exam question was to use a regression model to predict admissions and we had to evaluate, as a consequence, 60 different variations. In Excel, this would have been a nightmare. Again, R to the rescue. You can see the presentation below, if interested: Getting off my arse and creating the documentation / package Reflecting and cogitating on the NHS-R conference this ... Read More

Feed: The Information Lab. Author: Robin Kennedy. 28 October, 2019 Tableau training for Salesforce users Today, The Information Lab announces and is running the first Tableau training courses specifically aimed at Salesforce users. These new, free-of-charge, “Essentials” training sessions will aim to teach Salesforce users, admins, partners and even Salesforce employees about the basics of Tableau and how to build interactive visualisations and dashboards on data available to them in the Salesforce platform. As well as learning about a large variety of chart types and visualisation options in Tableau, delegates will see the different options for connecting to Salesforce data, ... Read More

Feed: The Information Lab. Author: Ravi Mistry. 24 October, 2019 | Ravi Mistry Embedding Tableau into Salesforce: A guide Salesforce.com is a market-leading CRM platform, and it recently acquired Tableau, a market-leading data visualisation platform. Many companies are using both tools heavily, and have deeply embedded the two systems into the day-to-day activities. In order to consolidate both platforms, a common question is posed on how to marry these two platforms together. This post will go through a couple of methods of doing this. In order to do any of the following, you do require the correct permissions, so do ... Read More

Feed: R-bloggers. Author: the Geocomputation with R website. This vignette builds on the making maps chapter of the Geocomputation with R book.Its goal is to demonstrate all possible map styles available in the tmap package. Prerequisites The examples below assume the following packages are attached: library(spData) # example datasets library(tmap) # map creation library(sf) # spatial data reprojection The world object containing a world map data from Natural Earth and information about countries’ names, regions, and subregions they belong to, areas, life expectancies, and populations.This object is in geographical coordinates using the WGS84 datum, however, for mapping purposes, the Mollweide ... Read More

Feed: SAS Blogs. Author: Andreas Heiz. Today’s customers expect their bank to provide rapid, reliable, personalised and convenient services across multiple touchpoints—and any bank that fails to meet these expectations will struggle to thrive. With new challenger banks and agile start-ups disrupting the financial services industry, delivering value-adding customer relationships is a key factor for market differentiation. Don’t just take our word for it. We conducted a study with Harvard Business Review Analytic Services in partnership with Accenture and Intel to learn more about these evolving expectations and how companies across industries are enhancing their business to meet customer needs ... Read More

Feed: The Information Lab. Author: Alexander Fridriksson. 15 October, 2019 How to embed Tableau into your web portal The goal of this tutorial is to show you how you can embed Tableau into a web portal in the simplest way possible. Here is the example we will be going through:https://superstore.theinformationlab.io You can find the code here. The web portal template was made by Creative Tim:https://www.creative-tim.com/product/material-dashboard The embed licence and the Javascript API First of all, we need to distinguish between embed as a licence and embed as a method. You can, of course, embed Tableau dashboards using a normal Tableau ... Read More

Feed: R-bloggers. Author: Econometrics and Free Software. I have been recently confronted to the issue of finding similarities among time-series and thoughabout using k-means to cluster them. To illustrate the method, I’ll be using data from thePenn World Tables, readily available in R (inside the {pwt9} package): library(tidyverse) library(lubridate) library(pwt9) library(brotools) First, of all, let’s only select the needed columns: pwt % select(country, year, avh) avh contains the average worked hours for a given country and year. The data looks like this: head(pwt) ## country year avh ## ABW-1950 Aruba 1950 NA ## ABW-1951 Aruba 1951 NA ## ABW-1952 Aruba ... Read More

Feed: Featured Posts - DataViz. Author: Vincent Granville. This chart communicates the same insights as a contour plot. What is interesting is the choice of hexagonal buckets (rather than squares) to aggregate data. In fact, any tessellation would work, in particular Voronoi tessellations. 3-D Voronoi tessellation  The reason for using hexagons is that it is still pretty simple, and when you rotate the chart by 60 degrees (or a multiple of 60 degrees) you still get the same visualization.  For squares, rotations of 60 degrees don't work, only multiples of 90 degrees work. Is it possible to find a tessellation such that smaller ... Read More

Feed: Featured Posts - DataViz. Author: Tim Miller. Data visualization is a general term that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software.This concept is not new.  Data has been visualized for at least 240 years, ever since Joseph Priestley first used timeline charts to plot the lifespan of people.  Inspired by Priestley’s work and his own childhood conducting rudimentary science experiments with his brother, William Playfair created the ... Read More