A New Package for Making Charts in Emacs: Eplot

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • owid-grapher

    A platform for creating interactive data visualizations

    Neat!

    This is one of my favorite spaces, so I'll add some generic advice which may or may not be helpful.

    I once had the privilege of working for Max Roser and Hannah Ritchie at Our World in Data, as one of the engineers on their Grapher library (https://github.com/owid/owid-grapher), and learned a ton from them (and others on the team) about making great charts.

    My one piece of advice from looking at your examples would be: don't neglect title, subtitle, and caption! They would be so easy to do well because you've already created your "simple headers thingies". A few words go along way. Check out "Storytelling with Data" by Cole Nussbaumer Knaflic for a great read on the subject. Owid's Grapher does those the best, IMO (followed closely by DataWrapper.de -- but that's not open source).

    At some point, if you keep up with this, you'll also want to add a dataflow library and DSL. Hadley Wickham's dplyr in R was the GOAT, and I copied that in my Ohayo tool and in OWID Grapher's CoreTable library (https://github.com/owid/owid-grapher/tree/master/packages/%4...). Jeffrey Heer's newish Arquero (https://idl.uw.edu/arquero/) library is also along those lines.

    Lately I've delving into Mike Bostock's new thing Plot (https://observablehq.com/plot/). So far, excited by it, but only spent a day or two with it at this point.

    I don't use emacs anymore, but hopefully something helpful in the comments above.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • plot

    A concise API for exploratory data visualization implementing a layered grammar of graphics

    Neat!

    This is one of my favorite spaces, so I'll add some generic advice which may or may not be helpful.

    I once had the privilege of working for Max Roser and Hannah Ritchie at Our World in Data, as one of the engineers on their Grapher library (https://github.com/owid/owid-grapher), and learned a ton from them (and others on the team) about making great charts.

    My one piece of advice from looking at your examples would be: don't neglect title, subtitle, and caption! They would be so easy to do well because you've already created your "simple headers thingies". A few words go along way. Check out "Storytelling with Data" by Cole Nussbaumer Knaflic for a great read on the subject. Owid's Grapher does those the best, IMO (followed closely by DataWrapper.de -- but that's not open source).

    At some point, if you keep up with this, you'll also want to add a dataflow library and DSL. Hadley Wickham's dplyr in R was the GOAT, and I copied that in my Ohayo tool and in OWID Grapher's CoreTable library (https://github.com/owid/owid-grapher/tree/master/packages/%4...). Jeffrey Heer's newish Arquero (https://idl.uw.edu/arquero/) library is also along those lines.

    Lately I've delving into Mike Bostock's new thing Plot (https://observablehq.com/plot/). So far, excited by it, but only spent a day or two with it at this point.

    I don't use emacs anymore, but hopefully something helpful in the comments above.

  • arquero

    Query processing and transformation of array-backed data tables.

    Neat!

    This is one of my favorite spaces, so I'll add some generic advice which may or may not be helpful.

    I once had the privilege of working for Max Roser and Hannah Ritchie at Our World in Data, as one of the engineers on their Grapher library (https://github.com/owid/owid-grapher), and learned a ton from them (and others on the team) about making great charts.

    My one piece of advice from looking at your examples would be: don't neglect title, subtitle, and caption! They would be so easy to do well because you've already created your "simple headers thingies". A few words go along way. Check out "Storytelling with Data" by Cole Nussbaumer Knaflic for a great read on the subject. Owid's Grapher does those the best, IMO (followed closely by DataWrapper.de -- but that's not open source).

    At some point, if you keep up with this, you'll also want to add a dataflow library and DSL. Hadley Wickham's dplyr in R was the GOAT, and I copied that in my Ohayo tool and in OWID Grapher's CoreTable library (https://github.com/owid/owid-grapher/tree/master/packages/%4...). Jeffrey Heer's newish Arquero (https://idl.uw.edu/arquero/) library is also along those lines.

    Lately I've delving into Mike Bostock's new thing Plot (https://observablehq.com/plot/). So far, excited by it, but only spent a day or two with it at this point.

    I don't use emacs anymore, but hopefully something helpful in the comments above.

  • gnuplotlib

    gnuplot for numpy

    To address your python woes: https://github.com/dkogan/gnuplotlib/

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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