satRday: Data Visualization Challenge

1 Aims

• Explore and visualize air-traffic data \(\rightarrow\) insights to air traffic

• Explore state-of-art tools for this in R \(\rightarrow\) tutorial

  \(\vdash\) *.rmd document available on github: https://github.com/agostontorok/satrday_visualization_challenge

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2 Data munging

• read in using xlsx2
• recode the Hungarian to English (“we thought it was a feature, but it turned out to be a bug”)
• get geocodes from Google Maps
• calculate total cargo/passenger flow
• calculate the ratio of outgoing cargo/passenger

3 Visualization of cargo flow

• see export/import locations (plotly - interactivity)
• see export/import in time (gganimate - animation)

## OGR data source with driver: GeoJSON 
## Source: "ne_50m_admin_0_countries.geojson", layer: "OGRGeoJSON"
## with 241 features
## It has 63 fields

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4 Visualization of passenger flow

• is there such diversity in passenger flow?
• passengers flow is mostly centered in Europe (ggmap)
• there are some more distant locations where people like to travel (plotly - native)

5 The MALÉV crisis

• Jan-Feb 2012
• Remove seasonal trends (STL)
• Baseline is 2007
• Add images to make it more infographic (ggplot)

Cheers,

Fanni & Agoston