JOURNEY WITH SuM J
Hey everyone! I'm SuM J +.
On my channel, you'll find tech updates, Python, R, SAS, Power Automate, Power Applications, Power BI, tutorials, travel 🧳 adventures, foodie escapades 🍱, and insights on growing small businesses🧑💼👩💼.
Join me as I explore the world 🌎 and share my discoveries!
Data wrangling with R
Working with Strings in R #rstudio #youtubechannel
Learn how to read and write files in R #rstudio
Creating Data Frames in R: A Beginner’s Guide #rstudio #youtubechannel
R Lists Demystified: How to Create Them
A Guide to Data Types in R Programming #rstudio #datatypes #youtubechannel
Working with Vectors in R #rstudio #youtubechannel
How do I install RStudio on Windows? #rstudio #youtubechannel
📊 What Is Standard Deviation ?
Python Hack: Descriptive Stats with .agg() #pythonprogramming #statistics #youtubechannel
Python-Powered Summary Statistics Report #pythonprogramming #youtube #statistics
Grouping Data by Categorical Column #pythonprogramming #statistics #youtubechannel
How to loop over rows and columns using Python 🔍💡#youtubechannel #pythonprogramming #pythontutorial
Denmark, Until Next Time #copenhagen #denmark #visitdenmark
Mastering Table Joins in Python with Pandas #pythonprogramming #dataframe #pythontutorial
From Messy to Meaningful: Data Cleaning in Python #pandaslibrary #pythonprogramming #datacleaning
From Bhimavaram to Your Plate: Ariselu Kumari’s Culinary Tale
Whoa—Copilot in Python? Game changer! #copilot #pythontutorial #pythonprogramming
Does Python allow the use of if-else structures? #pythonprogramming #pythontutorial
Tranquil waterways of Copenhagen 💦🚣🦢⛴️
Spin up a fresh GitHub repo for your project.
Strolling through serenity at Amager Boul, Copenhagen.
Step-by-Step Guide to Filtering Data in Pandas
Unlock Tax-Free Deals While You Travel the World 🌍 🛍️🛒
Church of Our Saviour at our dear Copenhagen
My first day to office in Copenhagen. Good morning dear Copenhagen ji
Namma Bengaluru airport feel vere level
Marriot evening
Python Essentials: Importing and Exporting Data Files
Frame Your Data Right: Building DataFrames in Python