best data visualization tools for beginners 2017

4.6 Using Design Patterns to Find Greater Meaning in Your Data.4.5 Choosing the Right Baseline in Data Visualization.4.2.2 How to decide which chart type to use?.4.2 Data Explanation (Like, Storytelling).4.1 Data Exploration (Like, Outlier Detection).3.9.12 The Atlas of Sustainable Development Goals 2018 - Data Visualization of World Development.3.9.11 Visualization of big data security: a case study on the KDD99 cup data set.3.9.10 Washington Wizards’ Shooting Stars.3.9.7 Kissmetrics blog: visualization of metrics.3.9.6 Adding up the White Oscars Winners.3.9.5 An Interactive Visualization of NYC Street Trees.3.8.2 A Guide to Who is Fighting Whom in Syria.3.8.1 Connecting the Dots Behind the Election.3.7.3 State of the Union 2014 Minute by Minute on Twitter.3.6.3 Understanding Plastic pollution using visualization.3.6 Dust in the Wind: Visualization and Environmental Problems.3.5.2 Hans Rosling’s 200 Countries, 200 Years, 4 Minutes.3.4 Visualizing Urban Data for Social Change.3.3.4 How People Like You Spend Their Time.3.3.1 Young Voters, Class and Turnout: How Britain Voted in 2017.2.8 Contemporary Research Results & What’s Next.2.7.4 Handbooks to improve your visualization design.2.7.3 Developing a Data Visualization Style.2.7.2 Infographics vs. Data Visualizations.2.7.1 Typography and Data Visualization.2.7 Implications of Good Data Visualization.2.6.1 Data Mining and Data Visualization.2.5.3 Corporate Scorecards and Data Visualization.2.5.2 How visualization impacts Industry/business.2.4.4 R for Data Visualization: Grammar of Graphics.2.4.3 Python for Data Visualization：10 Useful Python Data Visualization Libraries.2.4.1 Brief Description of popular tools.2.2.6 Adapt your story to a different set of audiences.2.2.2 How to choose the best form of Visualization.2.1.1 Melissa Anderson’s Principles of Design.1.6.4 Useful Links on Data Visualization Resources, Trends, and Tutorials.1.6 Additional Resources for Aspiring Data Visualists.1.5.5 Data visualization can’t explain data, leaving room for interpretation.1.5.3 Automatic visualization vs. context-specific visualization.1.5.2 Standing out categorization of information on the website.1.5 How to tell stories using data visualization’ and ‘exploratory data visualization’ theory example.1.3.1 Key Figures in the History of Data Visualization.

Best data visualization tools for beginners 2017