1 / 8

Understanding Data Visualization: Essential Sources and Graphing Techniques

This chapter offers insights into gathering reliable data from reputable sources such as the Bureau of Labor Statistics and the Census Bureau. It highlights critical aspects to evaluate when analyzing data, including its nominal vs. real status, seasonal adjustments, and annualization. The chapter also explores various types of graphs—univariate, time series plots, histograms, scatterplots, bar charts, and pie charts—which are essential for effective data representation. Key considerations for creating and interpreting graphs, including linear relationships, seasonal patterns, outliers, and distribution, are also discussed.

elaine-wade
Télécharger la présentation

Understanding Data Visualization: Essential Sources and Graphing Techniques

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Chapter 3 Graphics

  2. Getting Data • Bureau of Labor Statistics • Census Bureau • FRED-St. Louis Federal Reserve • Penn World Tables • Bos’s Homepage • DRI S&P Database

  3. Things to check • Reputation of data source • Is your data nominal or real? • Is your data seasonally adjusted? • Is the data annualized? • Is the data expressed as a percentage? • KNOW WHAT YOU ARE MEASURING!

  4. Graphs • Univariate • Time series plot • Histogram • Multivariate • Scatterplot • Bar Charts • Pie Chart

  5. Items to check on a graph • Is there a linear relationship? • Is there seasonality? • Are there outliers? • Is the data roughly normally distributed?

  6. Tricky graphs • Aspect Ratio • Chartjunk • Scale • Units

More Related