Uncovering Patterns in My Posts and Engagement — An information associated one-year journey

Introduction

The main skilled networking platform at present is LinkedIn. I started my journey there a number of years in the past sharing details about my work and job title. Nonetheless, I made a decision to focus extra intensely on creating content material associated to my new work expertise in information & analytics over the previous yr. Particularly, I’ve been posting and sharing tales about management, staff improvement, and geospatial analytics, together with visualization of knowledge and graph principle.

From LinkedIn (LI), you’ll be able to extract numerous statistics like impressions, interactions and every day follower progress. Moreover, there’s a LI API that can be utilized to acquire extra detailed statistics. Over the previous yr, I’ve collected information alone LI posts, with the intention of demonstrating how information analytics will be utilized on such datasets. On this article, I’ll share what I’ve discovered by way of one yr of monitoring my LI exercise.

Within the first half, I’ll focus on gentle elements comparable to audiences, measurements, amassing information, instruments and requirements. Then, I’ll present a extra detailed descriptive evaluation with a number of data-oriented outcomes. How will a put up carry out over weeks and the way can one learn the way hashtags work? These would be the matters for the final two sections. If you happen to discover this fascinating, please think about clapping, following, or sharing it on medium.

Viewers — Interplay — Measurement

On LI, you’ll be able to measure a put up’s success by way of metrics comparable to passive impressions (i.e., what number of instances your put up has been exhibited to others) and lively engagement metrics like likes, feedback, and shares. For instance, I’ve shared a put up previously yr about code high quality and readability, which you’ll see represented within the following screenshot. The LI algorithm impacts how many individuals will see your put up, however the numbers of likes you obtain will depend on your viewers. To raised perceive this algorithm and my viewers’s preferences, I’ve collected my very own dataset over the previous yr and analyzed it to establish patterns and tendencies. Let me now describe this dataset in additional element.