Open sen1 opened 6 years ago
Hi Sen1,
Thank you for reviewing my project! How come you weren't able to see the code? Is it not available to see if completed through codecaemy? Thank you very much for your comments- next time I will make sure to add a separate conclusion slide. I don't know how my sample size was wrong- that's so weird! But I think I've got a good grasp on the technique haha. It was a very fun project to complete, and I look forward to doing more work on data analysis.
Overall, this was a beautifully done project; great job!
I could not see your python work but all the numbers I can find in your presentation looks solid. So I think you did a great work.
I like the color background on the front page. Choose a good color theme for the whole presentation, not only for the title slide.
species_info.csv
isn't really is a title. Change it to likeSpecies dataset
or something similar. I would also suggest adding consistent text sizes with bullets and colors.The Matplotlib visualizations were gorgeous. You went above-and-beyond by learning about style sheets and adding labels to your bar charts. Each visualization communicated your points very well.
I like the slides describing the data and your results. I am guessing
n.s
marks on the endangered slide meansnot significant
for that two combinations. Please add more description to explain each point and do not leave the reader guessing. Your conclusion slide is missing. I would add a slide with conclusion and further research suggestions.You got the sample size calculation wrong for some reason. The correct answer is 510. Here is the link:https://www.optimizely.com/sample-size-calculator/?conversion=15&effect=33.3&significance=90
Overall a nicely done project. I hope that you get a chance to play around with this dataset (or another) and do more research.