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Artificial Autonomy Pte. Ltd.
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About
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1Y
C_US_USD_CME-COMEX_Fut_GC
Transport-Air-Planes-SIA
Transport-Sea-Containers-PIL
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Game-Chess-Poops
Game-Chess-Jelly
GCE-A-H1-8865-Mathematics
GCE-A-H2-9570-Economics
GCE-A-H2-9628-China-Studies-In-English
GCE-A-H2-9173-Geography
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Data_Analytics_PIL_05_Data_Explore_Year2020_3D-Surface-Histogram.png
Products › Data_Analytics_PIL_05_Data_Explore_Year2020_3D-Surface-Histogram

Data_Analytics_PIL_05_Data_Explore_Year2020_3D-Surface-Histogram

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https://youtu.be/VdXxoqi33Ek

In this video, I summarize our exploration of the PIL dataset after the first four videos. We confirmed that all data points are from the year 2020 and checked the mapping of countries to continents for accuracy. I highlighted that China dominates the dataset in terms of the number of containers and units, with a mean of 79 containers and 5 days, indicating a skewed distribution. I also discussed the removal of outliers and demonstrated how to bin the data for better visualization. Please review the updated statistics and consider how we can further analyze this data moving forward.

00:00 Introduction to PIL Dataset

05:04 Descriptive Statistics

07:41 Outlier Removal

10:09 Binning Observations

13:33 Conclusion and Next Steps

https://youtu.be/VdXxoqi33Ek

In this video, I summarize our exploration of the PIL dataset after the first four videos. We confirmed that all data points are from the year 2020 and checked the mapping of countries to continents for accuracy. I highlighted that China dominates the dataset in terms of the number of containers and units, with a mean of 79 containers and 5 days, indicating a skewed distribution. I also discussed the removal of outliers and demonstrated how to bin the data for better visualization. Please review the updated statistics and consider how we can further analyze this data moving forward.

00:00 Introduction to PIL Dataset

05:04 Descriptive Statistics

07:41 Outlier Removal

10:09 Binning Observations

13:33 Conclusion and Next Steps

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