sunrisevast.blogg.se

D3 js gallery stack bar based on keys
D3 js gallery stack bar based on keys









d3 js gallery stack bar based on keys
  1. D3 js gallery stack bar based on keys install#
  2. D3 js gallery stack bar based on keys software#
  3. D3 js gallery stack bar based on keys download#

Load a clean data sample using d3 and descriptive charts (histogram, scatterplot. Excel, DataWrangler, Tableau) add some details of the role and steps performed using those. Write a document for your project data cleaning and preparation: data source, data shaping, processing, etc. Tutorial 2 (1/2) - Building visualizations with D3.js

d3 js gallery stack bar based on keys

Interactive Data Visualization for the Web Chapter 1. Read introductions to JavaScript, D3 and Git Submit a project topic (1-paragraph): what is the question you expect to answer? which data do you need? how do you plan to collect your data? what are the main risk in collecting/visualizing it? what are the privacy/ethical issues? PROJECT: Group proposal of 2 or 3 students

  • BONUS: Add storytelling (Tableau Feature).
  • Create a Dashboard and explain your story/finding.
  • Find an interesting story / selection with this dataset.
  • Download the Global-Superstore-Orders-2016.xlsx and load it in Tableau join datasets (if needed).
  • d3 js gallery stack bar based on keys

  • Plot a grouped bar chart (companies as categories, grouped by year or by companies).
  • Plot a multiple line chart over time, for all stocks in a different color, grouped by company.
  • Download the stocks.csv and load it in Tableau convert data types (if needed).
  • Tips: make sure you parse the dataset correctly (FR version of Tableau automatically splits comas).
  • Plot a geo-map with colors winning party in 2012 Latitude (generated) et Longitude (generated), with State as shapes and color ATTR().
  • Plot a grid plot with Year as columns, State as rows and State Winner as color/marks.
  • Download the us-elections-history.csv and load it in Tableau convert data types (if needed).
  • Plot a scatterplot with X:sepal_length, Y:sepal_width, color:species and a trend line.
  • Download the iris.csv and load it in Tableau convert data types (if needed).
  • Other(simple) alternative to Tableau: Polestar.
  • Altenartive for Linux users is the Online version of Tableau.
  • Download and install Tableau Public (Free) on your machine.
  • The goal is to have a first experience with Tableau and build standard charts using a simple dataset.
  • Lecture 1 - Introduction to Data Visualizationīasics of Data Visualization: Perception, cognition, Visual mapping, Standard charts ( slides)Īuthoring visualizations: Libraries, Tools, Tableau Software ( slides)

  • 10% Bonus (class participation, best homeworks/assignments)Īll homeworks/assignements/reports are due the day before the class at 23.59pm Lyon Time (GMT+1).
  • 10% Homeworks/Submitted assignments (pass/fail policy).
  • Making Data Visual: A Practical Guide to Using Visualization for Insight by Danyel Fisher & Miriah Meyer.
  • Design for Information by Isabel Meirelles.
  • Visualization Analysis and Design by Tamara Munzner.
  • Interactive Data Visualization for the Web Romain Vuillemot, LIRIS, École Centrale de Lyon/Département Math-Info, Website, Twitter. Interactive Data Visualization (ECL MOS 5.5)











    D3 js gallery stack bar based on keys