Comparing the performance of anti-cancer treatment regimens with Pandas and Matplotlib to generate tables and figures for a technical report to be delivered to a pharmaceutical company's executive team.
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Updated
Dec 20, 2021 - Jupyter Notebook
Comparing the performance of anti-cancer treatment regimens with Pandas and Matplotlib to generate tables and figures for a technical report to be delivered to a pharmaceutical company's executive team.
This repository uses python to run analysis on drug regimens being tested on mice to reduce tumor sizes.
5.Data Analytics&Vis Pymaceuticals (Pharma Lab Analysis)-Matplotlib
Tool for discovery of risk controlled individualized treatment rule via decision trees and random forests
Generate a pie plot using both Pandas's DataFrame.plot and Matplotlib's pyplot that shows the distribution of female or male mice in the study.
Data visualizations and analysis using Matplotlib and Pandas
Analysis of a pharmaceutical drug study to understand effectiveness of various regimens.
matplotlib homework
Pharmaceutical Drug Regimen Trial Analysis
Analysis comparing the performance of Pymaceutical’s drug of interest versus other treatment regimens using Python Matplotlib.
The purpose of this study was to compare the performance of Pymaceuticals' drug of interest, Capomulin, versus the other treatment regimens. You have been tasked by the team to generate all of the tables and figures needed for the technical report of the study. The team also has asked for a top-level summary of the study results.
Python Pandas & Matplotlib Analysis of a Pharmaceutical Company's Drug Data
This challenge focuses on generating tables and figures based on the pharmaceutical data by using matplotlib library
Analysis of a pharmaceutical drug study with aim to reduce tumors
Analysing data set from a pharmaceutical to check if their drug regimen is effective in reducing tumor size in mice. Used Matplotlib in Python to develop meaningful graphs and charts.
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