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winningspaceracewithdatasciencepresentation
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- 2. 2 • Executive Summary •Introduction • Methodology • Results • Conclusion • Appendix Outline
- 3. 3 • Summary ofmethodologies • Summary of all results Executive Summary
- 4. 4 Introduction • Project backgroundand context • Problems you want to find answers
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- 6. 6 Executive Summary • Datacollection methodology: • Describe how data was collected • Perform data wrangling • Describe how data was processed • Perform exploratory data analysis (EDA) using visualization and SQL • Perform interactive visual analytics using Folium and Plotly Dash • Perform predictive analysis using classification models • How to build, tune, evaluate classification models Methodology
- 7. 7 Describe how datasets were collected. You need to present your data collection process use key phrases and flowcharts Data Collection
- 8. 8 Place your flowchartof SpaceX API calls here • Present your data collection with SpaceX REST calls using key phrases and flowcharts • Add the GitHub URL of the completed SpaceX API calls notebook (must include completed code cell and outcome cell), as an external reference and peer-review purpose Data Collection – SpaceX API
- 9. 9 • Present yourweb scraping process using key phrases and flowcharts • Add the GitHub URL of the completed web scraping notebook, as an external reference and peer-review purpose Data Collection - Scraping Place your flowchart of web scraping here
- 10. 10 Describe how datawere processed You need to present your data wrangling process using key phrases and flowcharts Add the GitHub URL of your completed data wrangling related notebooks, as an external reference and peer-review purpose Data Wrangling
- 11. 11 Summarize what chartswere plotted and why you used those charts Add the GitHub URL of your completed EDA with data visualization notebook, as an external reference and peer-review purpose EDA with Data Visualization
- 12. 12 Using bullet pointformat, summarize the SQL queries you performed Add the GitHub URL of your completed EDA with SQL notebook, as an external reference and peer-review purpose EDA with SQL
- 13. 13 Summarize what mapobjects such as markers, circles, lines, etc. you created and added to a folium map Explain why you added those objects Add the GitHub URL of your completed interactive map with Folium map, as an external reference and peer-review purpose Build an Interactive Map with Folium
- 14. 14 Summarize what plots/graphsand interactions you have added to a dashboard Explain why you added those plots and interactions Add the GitHub URL of your completed Plotly Dash lab, as an external reference and peer-review purpose Build a Dashboard with Plotly Dash
- 15. 15 Summarize how youbuilt, evaluated, improved, and found the best performing classification model You need present your model development process using key phrases and flowchart Add the GitHub URL of your completed predictive analysis lab, as an external reference and peer-review purpose Predictive Analysis (Classification)
- 16. 16 • Exploratory dataanalysis results • Interactive analytics demo in screenshots • Predictive analysis results Results
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- 18. 18 • Show ascatter plot of Flight Number vs. Launch Site • Show the screenshot of the scatter plot with explanations Flight Number vs. Launch Site
- 19. 19 • Show ascatter plot of Payload vs. Launch Site • Show the screenshot of the scatter plot with explanations Payload vs. Launch Site
- 20. 20 • Show abar chart for the success rate of each orbit type • Show the screenshot of the scatter plot with explanations Success Rate vs. Orbit Type
- 21. 21 • Show ascatter point of Flight number vs. Orbit type • Show the screenshot of the scatter plot with explanations Flight Number vs. Orbit Type
- 22. 22 • Show ascatter point of payload vs. orbit type • Show the screenshot of the scatter plot with explanations Payload vs. Orbit Type
- 23. 23 • Show aline chart of yearly average success rate • Show the screenshot of the scatter plot with explanations Launch Success Yearly Trend
- 24. 24 Find the namesof the unique launch sites Present your query result with a short explanation here All Launch Site Names
- 25. 25 Find 5 recordswhere launch sites begin with `CCA` Present your query result with a short explanation here Launch Site Names Begin with 'CCA'
- 26. 26 Calculate the totalpayload carried by boosters from NASA Present your query result with a short explanation here Total Payload Mass
- 27. 27 Calculate the averagepayload mass carried by booster version F9 v1.1 Present your query result with a short explanation here Average Payload Mass by F9 v1.1
- 28. 28 Find the datesof the first successful landing outcome on ground pad Present your query result with a short explanation here First Successful Ground Landing Date
- 29. 29 List the namesof boosters which have successfully landed on drone ship and had payload mass greater than 4000 but less than 6000 Present your query result with a short explanation here Successful Drone Ship Landing with Payload between 4000 and 6000
- 30. 30 Calculate the totalnumber of successful and failure mission outcomes Present your query result with a short explanation here Total Number of Successful and Failure Mission Outcomes
- 31. 31 List the namesof the booster which have carried the maximum payload mass Present your query result with a short explanation here Boosters Carried Maximum Payload
- 32. 32 List the failedlanding_outcomes in drone ship, their booster versions, and launch site names for in year 2015 Present your query result with a short explanation here 2015 Launch Records
- 33. 33 Rank the countof landing outcomes (such as Failure (drone ship) or Success (ground pad)) between the date 2010-06-04 and 2017-03-20, in descending order Present your query result with a short explanation here Rank Landing Outcomes Between 2010-06-04 and 2017-03-20
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- 35. 35 Replace <Folium mapscreenshot 1> title with an appropriate title Explore the generated folium map and make a proper screenshot to include all launch sites’ location markers on a global map Explain the important elements and findings on the screenshot <Folium Map Screenshot 1>
- 36. 36 Replace <Folium mapscreenshot 2> title with an appropriate title Explore the folium map and make a proper screenshot to show the color-labeled launch outcomes on the map Explain the important elements and findings on the screenshot <Folium Map Screenshot 2>
- 37. 37 Replace <Folium mapscreenshot 3> title with an appropriate title Explore the generated folium map and show the screenshot of a selected launch site to its proximities such as railway, highway, coastline, with distance calculated and displayed Explain the important elements and findings on the screenshot <Folium Map Screenshot 3>
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- 39. 39 Replace <Dashboard screenshot1> title with an appropriate title Show the screenshot of launch success count for all sites, in a piechart Explain the important elements and findings on the screenshot <Dashboard Screenshot 1>
- 40. 40 Replace <Dashboard screenshot2> title with an appropriate title Show the screenshot of the piechart for the launch site with highest launch success ratio Explain the important elements and findings on the screenshot <Dashboard Screenshot 2>
- 41. 41 Replace <Dashboard screenshot3> title with an appropriate title Show screenshots of Payload vs. Launch Outcome scatter plot for all sites, with different payload selected in the range slider Explain the important elements and findings on the screenshot, such as which payload range or booster version have the largest success rate, etc. <Dashboard Screenshot 3>
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- 43. 43 • Visualize thebuilt model accuracy for all built classification models, in a bar chart • Find which model has the highest classification accuracy Classification Accuracy
- 44. 44 • Show theconfusion matrix of the best performing model with an explanation Confusion Matrix
- 45. 45 Point 1 Point 2 Point3 Point 4 … Conclusions
- 46. 46 Include any relevantassets like Python code snippets, SQL queries, charts, Notebook outputs, or data sets that you may have created during this project Appendix