Sales Data Descriptive Analysis -- 2
Budget: $2 – $8 USD
I have a raw sales dataset and I want a clear, story-driven descriptive analysis that highlights how my revenue is trending, who is buying, and how each product is performing.
You will start by cleaning and structuring the file, then explore it with whichever tools you prefer—Excel, SQL, Python (Pandas, Matplotlib, Seaborn) or a BI platform such as Power BI or Tableau—as long as the final insights are easy for a non-technical stakeholder like me to grasp. Statistical jargon is fine in the notebook or appendix, but the main findings need plain-English explanations.
Deliverables I expect:
• A short written report (PDF or slide deck) summarising revenue trends, customer demographics and product performance, supported by clear charts.
• A reproducible working file (notebook, .pbix, .twbx, or Excel workbook) so I can refresh the analysis with new data later.
• The cleaned dataset you used, saved separately.
I will provide the raw data as soon as we start; please keep it confidential. If you see any data quality issues along the way, let me know so I can fix them upstream.
You will start by cleaning and structuring the file, then explore it with whichever tools you prefer—Excel, SQL, Python (Pandas, Matplotlib, Seaborn) or a BI platform such as Power BI or Tableau—as long as the final insights are easy for a non-technical stakeholder like me to grasp. Statistical jargon is fine in the notebook or appendix, but the main findings need plain-English explanations.
Deliverables I expect:
• A short written report (PDF or slide deck) summarising revenue trends, customer demographics and product performance, supported by clear charts.
• A reproducible working file (notebook, .pbix, .twbx, or Excel workbook) so I can refresh the analysis with new data later.
• The cleaned dataset you used, saved separately.
I will provide the raw data as soon as we start; please keep it confidential. If you see any data quality issues along the way, let me know so I can fix them upstream.
Related categories:
Python
Excel
Statistics
Statistical Analysis
SPSS Statistics
Data Visualization
Data Analysis
Pandas