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Matt Dancho (Business Science) Profile picture
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Sep 3 • 10 tweets • 5 min read
Starting out in #R can be tough.

Here are the 7 packages that have helped me tremendously.

#rstats
1. #dplyr for data wrangling

github.com/tidyverse/dplyr
2. #tidyr for tidying, wrangling and pivoting

github.com/tidyverse/tidyr
3. #ggplot2 data visualization using the grammar of graphics

github.com/tidyverse/ggpl…
4. #stringr for working with text data

github.com/tidyverse/stri…
5. #lubridate for working with date and datetime

github.com/tidyverse/lubr…
6. #forcats for categorical data

github.com/tidyverse/forc…
7. #readr for reading & parsing data

github.com/tidyverse/readr
And if you want all of these 7 R packages plus 93 more in one consolidated #cheatsheet, download my ultimate #R cheat sheet.

business-science.io/r-cheatsheet.h…
One more thing, if you’ve been struggling to learn R, I’d like to help.

I put together a free R webinar that consolidates the 10 secrets that helped me in my career.

Watch here: learn.business-science.io/free-rtrack-ma…

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More from @mdancho84

Matt Dancho (Business Science) Profile picture
Sep 4
Learning #timeseries can be tough.

Here are the 7 #R packages that have helped me learn time series and improve my forecasts.

#rstats Image
1. #timetk time series data wrangling + visualization

github.com/business-scien…
2. #modeltime time series forecasting

github.com/business-scien…
Read 10 tweets
Matt Dancho (Business Science) Profile picture
Sep 2
My #Shiny Web Apps for #Consulting Training (Part 1) was INSANE.

AND I've just made it available for everyone.

Here's how to get it in under 10-seconds.

#rstats #datascience
On Wednesday, 750 data scientists joined me to learn about new R Shiny functionality that makes building apps for clients easer, faster AND better.

And, we talked about how to go from a $1,000 app to a $15,000 app with not a lot of work.
If you want to join in on the FUN, you can check the full training out FOR FREE. My free gift to you.

AND, I have a 2nd part which promises a 100X improvement in shiny app building coming on September 14th!!
Read 5 tweets
Matt Dancho (Business Science) Profile picture
Aug 27
Stop learning data science.

Start learning how to solve problems.

Here's how... 🧵

#rstats #python #datascience
Most people dive into learning data science by taking course after course on:

coding,
algorithms,
math,
statistics,
computer science,
APIs,
web apps,
databases,
SQL...
And they learn
R,
Python,
SQL again (advanced this time),
Tableau (because I like dashboards),
PowerBI (because I realized my company doesn’t use tableau),
and…

You get the idea.

What a cluster…
Read 10 tweets
Matt Dancho (Business Science) Profile picture
Aug 26
Shiny has a ton of new features that were just announced.

And I want to show off the 3 most important.

Here's how... 🧵

#rstats
Rstudio Conf 2022 dropped some bombs 💣

The week I spent there felt like a shiny whirlwind. 🌪️

But, now that I've digested, I'm ready to serve up the best of the best on a platter. 🧑‍🍳🍽️
The pick of my Shiny App transformation is 1 of the 3 amazing new features that I'll be demonstrating in my upcoming training.
Read 5 tweets
Matt Dancho (Business Science) Profile picture
Aug 26
Why does every beginner data scientist fall for the "deep learning trap"?

#rstats #python 🧵
When I was first learning data science this cost me at least 6-months.

Seriously...
I was building a model for predicting which quotes would become orders.

I had just finished using a linear regression (didn't know about logistic yet) to make a predictive model.
Read 14 tweets
Matt Dancho (Business Science) Profile picture
Aug 25
Obi-Wan's secret weapon is the force.

Mine is the #tidyverse.

True story. 🧵

#rstats
It was 2014, and I was having a really tough time learning data science.

I was working on a project for work. Just sitting there staring at my computer...

Hoping the code would write itself.
I took a break to check my email.

Hadley Wickham, the biggest name in data science had introduced this new R package called "dplyr".

What's this? I took a look...
Read 9 tweets

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