Synergy Logistics Study Case for EMTECH Data science Certification
The study case consisted on proposing three solutions for Synergy Logistics to improve their sales from their shipment information. The analysis was performed in Python with help of the Pandas, Matplotlib and Seaborn libraries.
The first section of the analysis consisted on transforming the data to dataframes and creating new dataframes by grouping data by imports, exports and the amount of times a route was performed.
Second section of the analysis consisted on analyzing the top medium of transport by their value of imports and exports. Seabron was used to obtain the line charts. In the third section a similar analysis was performed now focusing on the top countries based on Pareto principles 80-20. The charts were created with the Matplotlib package. The complete code can be found here.
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