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Time Series Data Analysis with sARIMA and Dash | by Gabriele Albini | May, 2023

Identifying the sARIMA model that fits our data consist of a series of steps, which we will perform on the AirPassenger dataset (available here).Each step roughly corresponds to a “page” of the Dash web app.2.1 Plot your dataCreate a line chart of your raw data: some of the features described above can be seen by the naked eye, especially stationarity, and seasonality.Raw line chart | Image by authorIn the above chart, we see a positive linear trend and a recurrent seasonality pattern; considering that we have monthly…

A Framework for Analyzing Churn. A step-by-step guide to performing a… | by Gabriele Albini | Jan, 2023

A step-by-step guide to performing a customer churn analysis, using a simulated datasetPhoto by JESHOOTS.COM on Unsplash“Churn” has become a common business word that refers to the concept of churn rate, defined by Wikipedia as the:“proportion of contractual customers or subscribers who leave a supplier during a given time period”When analyzing churn from a data perspective, we usually mean to use the available tools to extract information about the existing customer base, specifically: quantify the current churn rate and…

Songs to playlist classification using NLP | by Gabriele Albini | Nov, 2022

A guided approach to assign new songs to Spotify playlists, using word2vec and logistic regressionPhoto by israel palacio on UnsplashThis article will present a NLP project aimed at assigning songs to playlists.Two playlists have been selected from Spotify and, via the Spotify API, information such as: artist, song titles, popularity, etc. was downloaded. The song lyrics data, not available through the API, was obtained using webscraping.Next, some data pre-processing steps were performed on the raw lyrics in order to…

Computing Assortativity Coefficients on a Social Network Dataset | by Gabriele Albini | Nov, 2022

Assortativity helps analysing pattern of connections in networks. Let’s use it to confirm if people tend to connect to similar people.Photo by fabio on UnsplashIn this article we will use some Facebook data to explore the concept of network assortativity (also called as homophily), which we define as the tendency of nodes to connect to their similar.Networks or Graphs are data representation consisting in nodes (vertices) and edges (links): in this article we will consider only undirected and unweighted edges. We will…