Python for Telecom Network Performance analysis

Data visualization is one of the best ways to find trends and correlations in data by representing it pictorially. It helps to understand what exactly the data conveys.
In telecom industry, to analyze network performance reports in detail, various python data visualization modules such as Matplotlib, Seaborn, Plotly can be very helpful.

Code -- Below is the GitHub link of the jupyter notebook used for the visualization of a LTE performance report in Python using Matplotlib and Seaborn --
https://lnkd.in/dw9aHaHR

Input -- LTE performance report (sample) used in jupyter notebook is as follows -
https://lnkd.in/dRWzGjib

Some of the important performance indictors of LTE are analyzed and correlated in the attached document such as -

i. Throughput Vs Spectral efficiency
ii. PRB utilization Vs Spectral efficiency
iii. UE per TTI Vs PRB utilization
iv. PRB utilization Vs Data volume
v. Throughput Vs Data volume

** To learn about machine learning in telecom, refer to the course -

https://www.itelcotech.com/learningpath/ml-ai-in-telecom-networks