Visualization always comes first when it comes to ML/DS project. Visualization help get insights of a given dataset, and through EDA (exploratory data analysis) we rely on visualization and other manners to prepare for building a performant model.

This data are the word counts of FOMC minutes from 1993/01 ~ 2020/09 _after data selection and data pre-processing _(by me), along with the Fed fund rate change after each FOMC. FOMC minute is released 3 weeks after every FOMC meeting. The data sources come from FOMC minutes & FOMC’s target federal funds rate or range, change (basis points) and level.

#python #data-science #matplotlib #machine-learning