DnD with Toph Exploratory Data Analysis > Go to project

This analysis aims to enhance the data collected from DnDwithToph.com earnings of running adventures on Outschool.com and provide valuable insights. The project involves data preprocessing, transformation, observations, and visualisations. Below is an overview of the steps taken in the analysis.

Steps

Improve Data Quality

• Convert CSV data into a Pandas DataFrame.
• Remove irrelevant or unimportant data.
• Convert appropriate data into numerical format for improved usability.
• Rename columns and features for better clarity.
• Introduce new columns and features to enhance analysis.

Observations

• identify outliers in the data.
• Summarize key aspects of the dataset.
• Analyse trends and patterns, including revenue and student enrollments.

Visualistions

• Create visualisations using the Matplotlib and Seaborn libraries.
• Present findings to showcase financial trends and significant insights.

Save Data

• Save the cleaned and transformed data for future analysis.

Conclusion

• By optimizing session scheduling, the analysis provided insights into optimal time slots that have the potential to improve earnings.
• The identification of the most effective and consistent adventures to prioritize is another valuable outcome.

For more information about ‘DnD with Toph’, visit DnDwithToph.com.