Part I of a two part tutorial illustrating how to use Python and R in the same Jupyter notebook within Google Colab. This first video walks through how to conduct exploratory data analysis with Python, while the next video show how to model with R. GitHub repo containing the notebook - https://github.com/tudev/Workshops-2020-2021 OBJECTIVE: Infer which explanatory variables significantly affect the size of trees within Duke Forest. Tree health can be used as a proxy for the overall health of the forest. DATA DICTIONARY: ID - Unique tree identifier. yr - Year of the diameter recording. cm - Measurement of the diameter of a tree's base. Measurements are made at breast height marked by a nail that holds a tag indicating the identifying tree number. This is the response variable. annualprec - Total precipitation within the year. summerpdsi - Palmer Drought Severity Index for the summer. Uses readily available temperature and precipitation data to estimate relative dryness. wintertemp - Average winter (Jan. - Mar.) temperature. CONNECT: LinkedIn: https://www.linkedin.com/in/adrian-dolinay-frm-96a289106/ GitHub: https://github.com/ad17171717 Twitter: https://twitter.com/DolinayG ------Video Chapters------ 0:00 - Intro 0:50 - Background on Data Set 2:19 - Loading Excel File onto Google Colab 2:47 - Reading Excel File into a pandas DataFrame 5:10 - Calculating Number of Trees Measured per Year 8:16 - Creating a Percentage Change Column 11:46 - Graphing a Correlation Heat Map with Seaborn 16:37 - Graphing a Pair Plot with Seaborn 19:05 - Graphing a Histogram with Matlplotlib 24:59 - Labeling Trees by Size 27:30 - Visualizing clustering with Plotly ... https://www.youtube.com/watch?v=ws6eWf2LeRg

Tutorial on coding out descriptive statistics in Python. Learn how to analyze data sets using descriptive statistics, code out the mean, median & mode by hand within Python and graph out histograms to visualize the data. GitHub repo containing the notebook under the "Statistics with Python" directory - https://github.com/ad17171717/YouTube-Tutorials CONNECT: LinkedIn: https://www.linkedin.com/in/adrian-dolinay-frm-96a289106/ GitHub: https://github.com/ad17171717 Twitter: https://twitter.com/DolinayG Odysee: https://odysee.com/@adriandolinay:0 |-Video Chapters-| 0:00 - Intro 0:14 - Descriptive Statistics 0:46 - Central Tendency 1:08 - Scenario: Housing Prices 1:38 - Calculating and coding the arithmetic mean 6:26 - Calculating and coding the median 11:38 - Calculating and coding the mode 13:47 - Analyzing the data using the mean, median and mode 15:22 - Time varying data and the change of the distribution's shape 16:30 - References and additional learning ... https://www.youtube.com/watch?v=5cKcTmQiz1A

Saving a pandas DataFrame to csv format. The notebook can be found in the "YouTube Shorts" folder within the below repo. GitHub Repo - https://github.com/ad17171717/YouTube-Tutorials CONNECT: LinkedIn: https://www.linkedin.com/in/adrian-dolinay-frm-96a289106/ GitHub: https://github.com/ad17171717 Twitter: https://twitter.com/DolinayG Odysee: https://odysee.com/@adriandolinay:0 ... https://www.youtube.com/watch?v=1j5cDXak_ys

Tutorial on updating Python packages within Google Colab. The notebook can be found in the "Google Colab Tutorials" folder within the below repo. GitHub Repo - https://github.com/ad17171717/YouTube-Tutorials CONNECT: LinkedIn: https://www.linkedin.com/in/adrian-dolinay-frm-96a289106/ GitHub: https://github.com/ad17171717 Twitter: https://twitter.com/DolinayG Odysee: https://odysee.com/@adriandolinay:0 |-Video Chapters-| 0:00 - Intro 0:10 - Check Python package version 0:26 - Upgrading a package 1:06 - References and additional learning ... https://www.youtube.com/watch?v=lHMRQP2HUmw