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The GRAPH Courses
Приєднався 14 тра 2022
A training platform for the modern data scientist.
Developed by the GRAPH Network.
Access quizzes, notes, and more at our website: thegraphcourses.org
Developed by the GRAPH Network.
Access quizzes, notes, and more at our website: thegraphcourses.org
Don't pick the WRONG data visualization! (Data Viz Taxonomy)
👋 LESSON MATERIALS 🛑
For access to learning materials, and an instructor-guided cohort learning experience, visit our website: thegraphcourses.org
Chapters
0:00 Intro
3:22 Univariate Questions
3:43 Univariate Numeric
8:41 Univariate Categorical
9:15 Bivariate: Numeric vs Numeric
10:02 Categorical vs Numeric
11:26 Categorical vs Categorical
16:50 Time Series
19:40 Wrap Up
And follow us on social media to get the latest updates!
Twitter: theGRAPHnetwork
LinkedIn: www.linkedin.com/company/the-graph-network
For access to learning materials, and an instructor-guided cohort learning experience, visit our website: thegraphcourses.org
Chapters
0:00 Intro
3:22 Univariate Questions
3:43 Univariate Numeric
8:41 Univariate Categorical
9:15 Bivariate: Numeric vs Numeric
10:02 Categorical vs Numeric
11:26 Categorical vs Categorical
16:50 Time Series
19:40 Wrap Up
And follow us on social media to get the latest updates!
Twitter: theGRAPHnetwork
LinkedIn: www.linkedin.com/company/the-graph-network
Переглядів: 77
Відео
Univariate Data Visualization with Python's Plotly Express
Переглядів 337 годин тому
👋 LESSON MATERIALS 🛑 For access to learning materials, and an instructor-guided cohort learning experience, visit our website: thegraphcourses.org Chapters 0:00 - Intro 1:47 - Visualizing Quantitative Data 2:13 - Histograms 5:36 - Customizing Histograms 9:20 - Visualizing Categorical Data 9:34 - Bar Charts 18:18 - Horizontal Bar Charts 19:04 - Pie Charts 21:35 - Wrap Up Learning Objectives: Cre...
Demographic Pyramids with R & ggplot2
Переглядів 1507 годин тому
👋 LESSON MATERIALS 🛑 You can access free accompanying materials for this lesson at our website: thegraphcourses.org/courses/epirep And follow us on social media to get the latest updates! LinkedIn: www.linkedin.com/company/the-graph-network
Using ChatGPT for Python
Переглядів 2209 годин тому
👋 LESSON MATERIALS 🛑 For access to learning materials, and an instructor-guided cohort learning experience, visit our website: thegraphcourses.org Chapters 0:00 - Intro 4:23 - Recommended AI Tools 5:40 - Using ChatGPT Tips 8:07 - ChatGPT for Plotting 10:50 - ChatGPT for Debugging And follow us on social media to get the latest updates! Twitter: theGRAPHnetwork LinkedIn: www.linkedin...
Intro to Python Data Structures
Переглядів 9312 годин тому
👋 LESSON MATERIALS 🛑 For access to learning materials, and an instructor-guided cohort learning experience, visit our website: thegraphcourses.org Chapters 0:00 - Intro 1:21 - Lists 5:19 - Dictionaries 9:27 - Series 14:34 - DataFrames 24:32 - Wrap-up Learning Objectives: - Create and work with Python lists and dictionaries - Understand and use Pandas Series - Explore Pandas DataFrames for organ...
Functions and Methods in Python
Переглядів 7412 годин тому
👋 LESSON MATERIALS 🛑 For access to learning materials, and an instructor-guided cohort learning experience, visit our website: thegraphcourses.org/ Chapters 0:00 Intro 0:50 What are Functions? 2:52 Function Arguments 6:04 What are Methods? 6:30 String Methods 9:06 Numeric Methods 10:58 What are Libraries? 15:40 Installing Libraries 18:13 Wrap Up Learning Objectives: You understand what function...
Intro to Python for Data Analysts | Coding Basics
Переглядів 2792 місяці тому
👋 LESSON MATERIALS 🛑 For access to learning materials, and an instructor-guided cohort learning experience, consider our Python bootcamp: thegraphcourses.org/pbb Chapters 0:00 Introduction 1:00 Comments in Python 3:02 Python as a Calculator 5:57 Order of Operations 9:21 Using the Math Library 12:06 Spacing in Code 14:07 Variables in Python 18:51 Concatenating Strings 20:05 Getting User Input 22...
Intro to Google Colab for Data Analysts
Переглядів 2352 місяці тому
👋 LESSON MATERIALS 🛑 For access to learning materials, and an instructor-guided cohort learning experience, consider our Python bootcamp: thegraphcourses.org/pbb Chapters 0:00 Introduction to Google Colab 1:13 Running Code 4:25 Working with Text Cells and Markdown 6:13 Importing Sample Data 8:45 Practice: Importing Training Data 9:39 Importing Your Own Data 11:29 Practice: Uploading and Importi...
Who Should Learn Python for Data Analysis in 2024?
Переглядів 4372 місяці тому
Python for data analysis is in HIGH demand! But is it right for you? 🤔 Find out in this video, and learn about our upcoming beginner-friendly course 👉 thegraphcourses.org/pbb
Live Online R Training | Beginner & Advanced
Переглядів 1362 місяці тому
Our live training courses for R data science are again open for enrollment! You will join weekly live interactive workshops with students from around the world, access twice-weekly support sessions with our instructors, and build hands-on projects to add to your portfolio. R Beginners Bootcamp: thegraphcourses.org/rbb Advanced R Bootcamp: thegraphcourses.org/rmc The courses are developed and ru...
Plotting GIS Layers | Lesson 7, Geospatial Visualization with R
Переглядів 1072 місяці тому
👋 LESSON MATERIALS 🛑 You can access free accompanying materials for this lesson at our website: thegraphcourses.org/courses/geospatial-viz/ And follow us on social media to get the latest updates! Twitter: theGRAPHnetwork LinkedIn: www.linkedin.com/company/the-graph-network CHAPTERS: 0:00 Introduction 2:18 Accessing health facilities data 3:23 Filtering data for Western Province 5:4...
GIS Boundary Data in R | Lesson 6, Geospatial Visualization with R
Переглядів 692 місяці тому
👋 LESSON MATERIALS 🛑 You can access free accompanying materials for this lesson at our website: thegraphcourses.org/courses/geospatial-viz/ And follow us on social media to get the latest updates! Twitter: theGRAPHnetwork LinkedIn: www.linkedin.com/company/the-graph-network CHAPTERS: 0:00 Introduction 1:05 Using the R Natural Earth package 4:36 Practice exercise: Plotting Asia and A...
Easy Dashboards in R with Quarto
Переглядів 1,6 тис.2 місяці тому
👋 LESSON MATERIALS 🛑 You can access free accompanying materials for this lesson at our website: thegraphcourses.org/courses/websites-and-dashboards-with-r/ 0:00 - Introduction to Quarto Dashboards 0:50 - Setting Up a New Quarto Document 1:53 - Adding Pages and Rows 2:46 - Customizing Row Heights 3:09 - Working with Columns 4:38 - Creating Tab Sets 5:41 - Adding Sidebars 7:50 - Types of Dashboar...
Density Maps with R | Lesson 4, Geospatial Visualization with R
Переглядів 1023 місяці тому
👋 LESSON MATERIALS 🛑 You can access free accompanying materials for this lesson at our website: thegraphcourses.org/courses/geospatial-viz/ And follow us on social media to get the latest updates! Twitter: theGRAPHnetwork LinkedIn: www.linkedin.com/company/the-graph-network CHAPTERS: 0:00 Introduction 1:36 Creating a Density Map 5:30 Practice Task: PR Crime Data 6:04 Real-World Appl...
Geospatial Physical Features in R | Lesson 3, Geospatial Visualization with R
Переглядів 1033 місяці тому
👋 LESSON MATERIALS 🛑 You can access free accompanying materials for this lesson at our website: thegraphcourses.org/courses/geospatial-viz/ And follow us on social media to get the latest updates! Twitter: theGRAPHnetwork LinkedIn: www.linkedin.com/company/the-graph-network CHAPTERS: 0:00 Introduction 1:30 Mapping Physical Features with Categorical Data 3:25 Mapping Physical Feature...
Thematic Maps with R | Lesson 2, Geospatial Visualization with R
Переглядів 1483 місяці тому
Thematic Maps with R | Lesson 2, Geospatial Visualization with R
Shapefile Data with R | Lesson 5, Geospatial Visualization with R
Переглядів 543 місяці тому
Shapefile Data with R | Lesson 5, Geospatial Visualization with R
Why R for GIS? | Lesson 1, Geospatial Visualization with R
Переглядів 3793 місяці тому
Why R for GIS? | Lesson 1, Geospatial Visualization with R
Build a Personal Website with Quarto & Github Pages | Lesson 4, Websites and Dashboards with R
Переглядів 3473 місяці тому
Build a Personal Website with Quarto & Github Pages | Lesson 4, Websites and Dashboards with R
Publishing HTML Reports to GitHub Pages | Lesson 3, Websites and Dashboards with R
Переглядів 1883 місяці тому
Publishing HTML Reports to GitHub Pages | Lesson 3, Websites and Dashboards with R
Creating HTML Documents with R & Quarto | Lesson 2, Websites and Dashboards with R
Переглядів 2723 місяці тому
Creating HTML Documents with R & Quarto | Lesson 2, Websites and Dashboards with R
Git & GitHub for R Users | Lesson 1, Websites and Dashboards with R
Переглядів 3713 місяці тому
Git & GitHub for R Users | Lesson 1, Websites and Dashboards with R
Data Cleaning 2: Fixing Inconsistencies | Further Data Analysis with R (Lesson 10)
Переглядів 2265 місяців тому
Data Cleaning 2: Fixing Inconsistencies | Further Data Analysis with R (Lesson 10)
Data Cleaning 1: Data Diagnostics | Further Data Analysis with R (Lesson 9)
Переглядів 1965 місяців тому
Data Cleaning 1: Data Diagnostics | Further Data Analysis with R (Lesson 9)
R Functions and Conditionals | Further Data Analysis with R (Lesson 8)
Переглядів 2145 місяців тому
R Functions and Conditionals | Further Data Analysis with R (Lesson 8)
For Loops in R | Further Data Analysis with R (Lesson 7)
Переглядів 2405 місяців тому
For Loops in R | Further Data Analysis with R (Lesson 7)
Advanced Joins: Mismatches, One-to-Many & Multi-Key Joins | Further Data Analysis with R (Lesson 6)
Переглядів 1705 місяців тому
Advanced Joins: Mismatches, One-to-Many & Multi-Key Joins | Further Data Analysis with R (Lesson 6)
Joining/merging data with dplyr | Further Data Analysis with R (Lesson 5)
Переглядів 1985 місяців тому
Joining/merging data with dplyr | Further Data Analysis with R (Lesson 5)
Date Intervals, Components and Rounding | Further Data Analysis with R (Lesson 4)
Переглядів 1265 місяців тому
Date Intervals, Components and Rounding | Further Data Analysis with R (Lesson 4)
Recognizing and Formatting Dates with lubridate | Further Data Analysis with R (Lesson 3)
Переглядів 1495 місяців тому
Recognizing and Formatting Dates with lubridate | Further Data Analysis with R (Lesson 3)
Thanks!
Thanks so much Your channel is so helpful for beginners in programming May God bless you all❤️
What tool do you use for your presentation?
Wonderful job! Carry on!
Thanks for your excellent lecture. I want to highlight 45-49 in males and 40-44 in females with different colors (e.g., red in males and pink in females) because they are the highest age group. How could I modify with code?
Wonderful! Thanks!
Thank you. 👏👏👏
Professor, you teach very well. More videos associated with dashboard. Davai
Never knew one could do this with Quarto. Thanks for the video!
A lot of information in a pretty clear and concise explanation. Thank you!
Thank you. It says there is no package called pacman
Hi, whatever code i write in script runs in the console, but after running a red cross for error shows up in the script (stating : expected ',' after expression). I dont understand what the mistake is?
Too fast
So clear & useful
WoW! i love this. was procrastinating because I didnt want to pay for ArcGIS but my mentor told me to try using R instead. next thing you know i see this video which is recent! im invested and will see the next lesson. Thanks for sharing your time and experience.
Really helpful
Best R lesson ever!!!
Thanks so much!
Great one! Are you going to teach in VScode?
Yes, we will start with Google Colab, then transition to VScode!
@@thegraphcourses I've already enrolled!!!!
Thank you very much for the explanation...
This is increadible...way better than the formal course I've enrolled in to learn R
Nice but this will not work the same way with latest version of tmap - 3.99.9001
Thanks for catching this! We will take a look and address as soon as possible. In the meantime, feel free to skip this section, as the rest of the playlist does not rely much on tmap.
@@thegraphcourses Thanks - if you did a special using the new version of tmap that would be great. There is practically nothing out there!
Check out our live, interactive R training courses here: thegraphcourses.org/rbb
Check out our live, interactive R training courses here: thegraphcourses.org/rbb
This was. an amazing video - thanks so much!
How did you get your rmarkdown to recognize your csv file? It throws an error everytime I knit the project saying "object not found.
Thank you!
Brilliant. Thanks so much for this great tutorial. I understand it as a newbie now
Excited for the next topic....
Very nice.. Thank you very much...
Good video. How does using Quarto for dashboards compare to using Shiny? Do you plan to do a Shiny video?
Quarto dashboards are much easier to set up and make pretty. Shiny takes a lot more work, but is more customizable, and allows for richer interactivity. We'll try to get to Shiny soon!
thank u for your time and efforts
Excellent tutorial in every aspect! Your voice is so perfect that I thought it was one of those state-of-the-art artificial intelligence voices.
this is needed and great tutorials, thank you for your time and help
Thank you Mr. Ken. Is it possible to have a one on one talk with you.
Brilliant video! You're so thorough with your explanations.
Great video, by the way! I’m considering two options for version control and would like your advice on which would be more convenient: Using Git and version control through GitKraken (since I’m on Linux). Setting up version control directly within R and RStudio. Beyond my R script files in the project directory, I’ve also created folders containing manuscript files and other miscellaneous documents. While I doubt version control can manage rich text files, the script is my primary concern. What do you recommend?
I haven't used gitkraken but I think the RStudio git interface is pretty good for most tasks!
good
Great video for beginners
Wow, nice presentation & teaching!
After watching some videos, I must say this is a criminally underrated channel. I am so glad youtube put this in my recommendations!
Thank you such very nice presentation and very clear
Saw many tutorial videos and this is one of the best!
An excellent teacher, clear, and not confusing.
This is a wonderful tutorial. I never knew R studio was this robust. Thank you very much
At 4 min and I jyst paused to subscribe, like and appreciate this video. Very useful!
This guy is Phd and give content for free, what a humble soul
Overall these presentations are very nice. The separate function is now separate_wider_*(). Here separate_wider_delim(date, delim = "-", names = c("year", "month", "day"), remove = FALSE).
thank you
wawoo
This is highly useful.