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Here’s an interesting look at how data played (and continues to play) in space exploration.

00:00 – Introduction and Agenda for the episode
02:49 – Setup local environment guidelines
03:56 – Setup for this project and intro to Python notebooks in VSCode
06:40 – Choosing data for analysis – NASA Lunar Rock Curation
07:51 – Discussion on importance of weight in space exploration
08:56 – Defining problem to solve through data science practices
10:45 – Import and explore data into notebook with pandas
14:12 – Manipulate rock sample data to match rocket data
18:30 – Create dataframe to view data based on unique missions
20:23 – Add total sample amount for each mission
23:05 – Comparing missions
24:09 – Removing not-a-number values
25:04 – Add rocket ship data into dataframe
26:47 – Add rocket payload data and determine ratios
29:00 – Add Artemis data
30:42 – Estimate sample weight per Artemis mission
31:37 – Determining the right samples to collect
36:00 – Exploring the cut of samples to prioritize
38:00 – Finalizing the samples that represent the profile for new samples
40:09 – Create the dataframe final profile for new sample gathering
44:50 – Determine recommendations based on Artemis constraints
47:01 – Recap

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