Abstract: a brief summary of the project and the conclusions reached.
Introduction: Contextualize the problem: what is the question you want to answer, why is it important or interesting, what previous work had been done on it, what steps did you take to answer the question.
Data: describe the data you identified as available and suitable to answer the question; what were the sources and where is the data available? are more data available but not included? why ? what were the weaknesses of the data (errors, biases, missing features…)? what data wrangling and processing techniques were applied? You may want to include plots and or tables that help the reader understand the data, although you ALSO need a good description in good English prose!)
Methodology: what analytical tools were used, why were they the appropriate tool? Give references here to the use of these tools in similar contexts and the strengths and weaknesses of the methods. What methods could not be used because the data was not supporting them, but would have been able to answer the question. (You probably want to include plots and tables here too).
Conclusions: What did you find? How does it compare to previous findings, how does it comare to your expectations when you strted the project and why was any question ananswered or not answered adequately by this analysis?
Future work: what improvements to the analysis, or what data would be needed to improve the result?