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Statistics & Plotting Challenge

Laboratories

# Pymaceuticals Inc.

Dependencies and Setup:

  • Import necessary libraries such as:
  • pandas
  • matplotlib.pyplot
  • scipy.stats

Load Data:

  • Load both data from CSV files into Pandas DataFrames.

Combine Data:

  • Merge the mouse and study data into a single DataFrame for comprehensive analysis.

Clean Data:

  • Calculate number of animals, check if there is any duplicates, unique ID of the mice make a clean data fram .

Statistical Summary:

  • Group the data by Drug Regimen calculate mean, median, variance, standard deviation and Standard Error of the Mean.
  • Format the summary data for display as data frame.

Laboratories

Plotting Charts:

Bar Chart

  • Sort number of Observed Mouse Timepoints to have a sorted plot both with:
  • Pandas &
  • pyplot

Pie Chart

  • Show the percentage of the Male and Female number of mice both with:
  • Pandas &
  • pyplot

Boxplot

  • Calculate Quartiles which are statistical measures that divide a dataset into four equal parts, each containing 25% of the data.
  • And calculating Interquartile Range (IQR)
  • And calculating upper & lower bounds to show the Final Tumor Volume across four Regimens

Line ans Scatter plots

  • Calculate the Tumor Volume over days for specific Mouse under Campomulin treatment
  • Calculate the Average Tumor Volume over weight for Mice under Campomulin Regimen

Correlation

  • Calculate the Correlation between the Average Tumor Volume and weight for Mice under Campomulin Regimen

The statement "The correlation between mouse weight and the average tumor volume is 0.84" describes the strength and direction of the relationship between two variables: mouse weight and average tumor volume. we can draw a line with positive slope going through the data.

  • A correlation of 0.84 suggests a strong association, which could be useful for making predictions or understanding how mouse weight might influence tumor volume.

  • Correlation does not imply causation. While there is a strong relationship between mouse weight and average tumor volume, this doesn’t necessarily mean that one causes the other. Other factors could be influencing both variables.