Sales Data Visualization using Python 📈

The objective of this dashboard is to understand sales trends for one of the leading pharmaceutical company.

The client would like to come see a dynamic dashboard with different KPI's at different levels (National, Region & Territory etc). Create the below charts as these would help us explore the past data in a better manner and give a good picture of the progress and failures. This in turn would catalyse the decision-making process, making it easier, simpler and accurate.

Table of Contents

• General Info
• Technologies Used
• Conclusions
• Acknowledgements

General Information

• The Project is built using Pandas, Numpy, Matplotlib and Seaborn
• The Project includes different Charts and Graphs for Sales Data Visualization

Conclusions

• We can conclude that sales in 2016 is more compared to 2015 in all regions.
• East region has contributed the maximum in 2016.
• We can conclude that East region and High Tier in 2016 have contributed the maximum.Also Sales in 2015 and Sales in 2016 both are maximum in East Region and High Tier.

Technologies Used

• Python - version 3.8.0

Contact

Created by [@Yashraj_Pathak] - feel free to contact me!