[OC] Post office locations in the continental US: 1770-2002

This page summarizes the projects mentioned and recommended in the original post on /r/dataisbeautiful

Stream - Scalable APIs for Chat, Feeds, Moderation, & Video.
Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
getstream.io
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InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com
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  1. gganimate

    A Grammar of Animated Graphics

    Created with [gganimate](https://github.com/thomasp85/gganimate) in R, based on [a dataset of US Post Office locations from Cameron and Blevins](https://cblevins.github.io/us-post-offices/).

  2. Stream

    Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.

    Stream logo
  3. tidytuesday

    Official repo for the #tidytuesday project

    This week your dataset was featured as a Tidy Tuesday project, which is a group that highlights interesting open datasets for people to analyze. https://github.com/rfordatascience/tidytuesday/blob/master/data/2021/2021-04-13/readme.md I make a habit of each Tuesday of opening these datasets cold and livestreaming making some graphs. You can see me creating this graph here (I reach the scatter plot at about 54 minutes in): https://www.youtube.com/watch?v=Sx9uo2tCOFM

  4. data-screencasts

    Code from live exploratory analyses of data in R

    R code for the animation: https://github.com/dgrtwo/data-screencasts/blob/master/2021_04_13_post_offices.Rmd

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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