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  • 2024 2
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      •   Simple Machines - Improving Workflows with APIs
    •   January 1
      •   Query DATIM through DHIS2 API
  • 2023 10
    •   August 2
      •   USAID Global Data Skills Workshop
      •   Installing Source Sans Pro Typeface
    •   March 4
      •   Creating a reproducible example (reprex)
      •   Monday Data Viz - Moving Beyond Bars with Beeswarms
      •   Monday Data Viz - Icons + Data Viz
      •   Monday Data Viz - Small Multiples and Group Context
    •   February 2
      •   Monday Data Viz - Helper Annotation
      •   Monday Data Viz - Simple Yet Elegant
    •   January 2
      •   Monday Data Viz - What's your type-face?
      •   Monday Data Viz - Tracking Patient Health Stories
  • 2022 53
    •   December 2
      •   Monday Data Viz - Coverage Remake
      •   Monday Data Viz - The Time Axis
    •   November 4
      •   Monday Data Viz - Timelines and Icons
      •   Monday Data Viz - Grouping Categories
      •   Monday Data Viz - Part to Whole
      •   Monday Data Viz - DST misalignment
    •   October 3
      •   Monday Data Viz - Applying the Style Guide to Our Work
      •   Monday Data Viz - Viz Eliciting Emotions
      •   Monday Data Viz - Annotations Abound
    •   September 3
      •   Monday Data Viz - Squares over Circles
      •   Monday Data Viz - The Urban Exodus
      •   Monday Data Viz - The importance of context
    •   August 3
      •   Monday Data Viz - Excel FTW
      •   Monday Data Viz - What are we looking at?
      •   Visualizing Data
    •   July 3
      •   Digging a Pit of Success for Your Organization
      •   Monday Data Viz - Connecting with Your Data, Part II
      •   Monday Data Viz - Connecting with Your Data, Part I
    •   June 4
      •   Monday Data Viz - Size and Scope
      •   RBBS - 12 R Markdown
      •   RBBS - 11 Making maps with R
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    •   May 6
      •   RBBS - 10 Functions/Iteration Part II
      •   RBBS - 10 Functions/Iteration Part I
      •   Monday Data Viz - Directional Dumbbell Plots
      •   RBBS - 9 Relational Data - Part 2
      •   Monday Data Viz - Sub Par Sports Apps Data Viz
      •   RBBS - 9 Relational Data - Part I
    •   April 7
      •   RBBS - 8 Strings & Dates
      •   Monday Data Viz - Slope chart + small multiples
      •   Monday Data Viz - Aggregating Away the Signal
      •   RBBS - 7 Tranformation, Part II
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      •   RBBS - 7 Tranformation, Part I
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    •   March 7
      •   RBBS - 6 Importing Data
      •   Monday Data Viz - Filling the Gap
      •   RBBS - 5 Introduction to the Tidyverse
      •   RBBS - 5 Base R
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      •   RBBS - 4 Tidy Data
      •   Monday Data Viz - Annotate Like a Designer
    •   February 6
      •   RBBS - 3 R Projects Workflow
      •   RBBS - 2 Visualizations, Part II
      •   Monday Data Viz - Mapping the war in Ukrainian
      •   RBBS - 2 Visualizations, Part I
      •   Monday Data Viz - Iterate, Part III
      •   Monday Data Viz - Stealing Design Cheats
    •   January 5
      •   RBBS - 1 Motivation
      •   Monday Data Viz - Data Viz Tools
      •   RBBS - 0 Software and Account Setup
      •   Monday Data Viz - Iterate, Part II
      •   Monday Data Viz - Iterate
  • 2021 49
    •   December 2
      •   Monday Data Viz - Books to Propel Your Work Forward in 2022
      •   Monday Data Viz - Bird is the Word
    •   November 4
      •   Monday Data Viz - Bump Charts
      •   Monday Data Viz - Multiple Facets of Different Sizes
      •   Monday Data Viz - Color Contrast Tool
      •   Monday Data Viz - Visual Hierachy, Part II
    •   October 4
      •   Monday Data Viz - Visual Hierachy, Part I
      •   Dynamic Scripting Workflow
      •   Monday Data Viz - One topic per slide
      •   Monday Data Viz - Gray...it's not just for breakfast anymore
    •   September 3
      •   Monday Data Viz - Offset bars
      •   Monday Data Viz - Hiking Inspiration
      •   Monday Data Viz - Remake - What’s worth knowing in economics?
    •   August 2
      •   Monday Data Viz - Stop the stoplights
      •   Monday Data Viz - Conveying Concepts with Visuals
    •   July 3
      •   Monday Data Viz - Olympic Inspiration
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      •   Monday Data Viz - Highlighting Outliers
    •   June 3
      •   Monday Data Viz - The Full Data Viz Lifecycle
      •   Monday Data Viz - Focusing on the "aha" and not the "ooh ahh"
      •   Monday Data Viz - A Riff on Tile Grid Maps
    •   May 3
      •   Monday Data Viz - Whiteboards and Markers
      •   Monday Data Viz - Inline Legends
      •   Monday Data Viz - Heads Up!
    •   April 5
      •   Monday Data Viz - Big Impact from Small Multiples
      •   Monday Data Viz - Borrowing from Graphic Design
      •   Monday Data Viz - Brood X
      •   Google API Workflow
      •   Monday Data Viz - 30DayChartChallenge
    •   March 6
      •   Monday Data Viz - Elements of a Good Visualization
      •   Monday Data Viz - Encoding Target Achievement
      •   Monday Data Viz - Avoiding Stacked Charts
      •   Working with Messy Spreadsheets
      •   Monday Data Viz - Annotate, Annotate, Annotate
      •   Monday Data Viz - Plot Function
    •   February 2
      •   Monday Data Viz - Plot Function
      •   Monday Data Viz - Mark It Up
    •   January 12
      •   Monday Data Viz - Encoding Data
      •   The Joy of Visualization
      •   Showing Change Over Time Example
      •   Key Performance Indicators Example
      •   Ranking (slope charts) Example
      •   Maps Example
      •   Key Performance Indicators Example
      •   Deviation Example
      •   Combining Plots To Summarize Achievement
      •   Bar graph example
      •   Monday Data Viz - Be wary of chloropleth maps
      •   Charts for Common Data Relationships
  • 2020 2
    •   April 2
      •   SI Standard Style with ggplot
      •   Welcome to Jekyll!
  • 2014 1
    •   April 1
      •   ggplot Exercises

The Joy of Visualization

2021-01-22    Aaron Chafetz
presentations    visualization

This presentation provides an introduction to the OHA Data Visualization Style Guide.

Presentation

OHA/SIEI - Strategic Information Branch
Disclaimer: The findings, interpretation, and conclusions expressed herein are those of the authors and do not necessarily reflect
the views of the United States Agency for International Development. All errors remain our own.