Following on from last time, this tutorial will focus on more advanced graph techniques and existing algorithms such as Dijkstra’s algorithm that can be used to draw real meaning from graphs. This is part 2 in the series of iGraph tutorials, for part 1, click here. When completing these tutorials be sure to read up […]

# data visualization

## Protected: Bonus: Sentiment Analysis using TidyText Exercises

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## Graph Theory: Using iGraph Exercises (Part-1)

This is part 1 of a series in analyzing and visualizing network data using iGraph. The rest of the series can be found here. Graph Theory, or network analysis as it is often called, is the mathematical portrayal of a series of edges and vertices. To contextually picture a network, think of each node being […]

## Visual Data Exploration Exercises

The first thing you should do when you start working with new data is to explore it to learn what’s in there. The easiest way to do this is by visualization. Distributions, point plots, etc. They are very helpful, but plotting all of them for each variable or pair of variables can be time-consuming. That’s […]

## Plotly basic charts – exercises

INTRODUCTION Plotly’s R graphing library makes interactive, publication-quality web graphs. More specifically it gives us the ability to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, and 3D charts. In this tutorial we are going to make a first step in plotly’s world by learning to […]

## How to plot basic charts with plotly

INTRODUCTION Plotly’s R graphing library makes interactive, publication-quality web graphs. More specifically it gives us the ability to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, and 3D charts. In this tutorial we are going to make a first step in plotly’s world by learning to […]

## ggvis Exercises (Part-2)

INTRODUCTION The ggvis package is used to make interactive data visualizations. The fact that it combines shiny’s reactive programming model and dplyr’s grammar of data transformation make it a useful tool for data scientists. This package may allows us to implement features like interactivity, but on the other hand every interactive ggvis plot must be […]

## ggvis Exercises (Part-1)

INTRODUCTION The ggvis package is used to make interactive data visualizations. The fact that it combines shiny’s reactive programming model and dplyr’s grammar of data transformation make it a useful tool for data scientists. This package may allows us to implement features like interactivity, but on the other hand every interactive ggvis plot must be […]

## How to create interactive data visualizations with ggvis

INTRODUCTION The ggvis package is used to make interactive data visualizations. The fact that it combines shiny’s reactive programming model and dplyr’s grammar of data transformation make it a useful tool for data scientists. This package may allows us to implement features like interactivity, but on the other hand every interactive ggvis plot must be […]

## Data visualization with googleVis exercises part 10

Timeline, Merging & Flash charts This is part 10 of our series and we are going to explore the features of some interesting types of charts that googleVis provides like Timeline, Flash and learn how to merge two googleVis charts to one. Read the examples below to understand the logic of what we are going […]