Membershipanywhere/Digital Membership Card Mobile App/Membership Analytics

Offtopic
1

Hi everyone,

I’m evaluating Julia for a project that involves analyzing large membership and visitor datasets for museums and other visitor-based organizations. The data includes member renewals, attendance trends, engagement metrics, and digital membership card usage.

One of the main goals is to improve reporting speed and build predictive models for member retention. Julia’s performance looks promising, especially for handling large datasets and numerical analysis.

For those who have worked on similar projects:

  1. Which Julia packages do you recommend for data cleaning, analysis, and visualization?
  2. Has anyone used Julia for CRM or membership-related analytics?
  3. How does Julia compare with Python or R for this type of workload?
  4. Are there any good examples of dashboards or forecasting models built with Julia?

I’d appreciate hearing about your experiences, recommended packages, or any lessons learned from real-world projects.

Thanks in advance!

2

  1. DataFrames.jl and DataFramesMeta.jl, Tidier.jl, and Queryverse.jl for the data piece. There are a few options for plotting, but Plots.jl or Makie.jl may be your best be (or VegaLite.jl for the Queryverse). The beautiful Makie website has lots of good examples of what that ecosystem can do.

  2. I am not a data science power user by any stretch, but I find Julia DataFrames comparable to pandas.

3

Welcome @Nelsonclint! I’m temporarily putting this topic on hold; it has the same shape as some AI spam we’ve been battling recently. If that’s not the case, please just let me know! My sincerest apologies if you got snagged because other bad actors are impersonating sincere users :frowning: