Videographic illustrating how a virus mutates. More than 100 million Covid-19 cases have now been recorded worldwide, according to an AFP tally on Tuesday, as newly-inaugurated President Joe Biden pledged to ramp up the struggling vaccine program in the United States.
Subscribe to AFP and activate your notifications to get the latest news 🔔
http://www.youtube.com/channel/UC86dbj-lbDks_hZ5gRKL49Q/?sub_confirmation=1
published: 27 Jan 2021
dplyr: mutate
The mutate function in dplyr lets you add new variables to an existing data frame.
Documentation for for mutate:
https://dplyr.tidyverse.org/reference/mutate.html
Link to the Kaggle Notebook code used for this video series:
https://www.kaggle.com/hamelg/dplyr-in-r
View the whole dplyr in R playlist here:
https://www.youtube.com/watch?v=THGFXV4RW8U&list=PLiC1doDIe9rC8RgWPAWqDETE-VbKOWfWl
dplyr cheat sheet from RStudio:
https://www.rstudio.com/wp-content/uploads/2015/02/data-wrangling-cheatsheet.pdf
dplyr documentation:
https://cran.r-project.org/web/packages/dplyr/dplyr.pdf
Follow DataDaft on social media for news and updates:
Twitter: https://twitter.com/DataDaft
Join the DataDaft Discord to discuss all things data science:
https://discord.gg/ZS2yPNw
#dplyr #rprogramming #datascie...
published: 27 Sep 2019
R Tutorial: Mutate
Want to learn more? Take the full course at https://learn.datacamp.com/courses/data-manipulation-with-dplyr at your own pace. More than a video, you'll learn hands-on coding & quickly apply skills to your daily work.
---
Datasets don't always have the variables you need. You can use the mutate() verb to add new variables or change existing variables.
Let's start with a dataset that has selected four interesting variables: state, county, population, and unemployment.
The unemployment rate is given as a percentage, so 5 would mean 5 percent, or one twentieth.
What if you were interested in the total number of unemployed people in a county, rather than as a percentage of the population? You could use the formula population times unemployment divided by 100.
You use the mutate() verb to...
published: 11 Apr 2020
Adding columns to a data frame using the mutate function in dplyr
published: 06 Sep 2020
Data manipulation in R using dplyr : mutate and rename function - 1(d)
dplyr package provides a general framework for the manipulation of dataframes in R.
mutate() function create new variables
rename() function renames column name
filter function link:
https://www.youtube.com/watch?v=o_7X_pCTeZk
select function link:
https://www.youtube.com/watch?v=2ROzqn1fz8c
arrange function link:
https://www.youtube.com/watch?v=Pwc0X6c1824
published: 23 Apr 2020
Creating Columns in R with mutate()
mutate() is an easy and modern way to add columns to a data frame in R. Let's learn it!
If this vid helps you, please help me a tiny bit by mashing that 'like' button. For more #rstats joy, crush that 'subscribe' button!
Genetic mutations aren’t as scary as they sound. With RNA viruses, like the coronavirus (SARS-CoV-2) that causes COVID-19, they’re happening constantly — basically every time it replicates. But not all mutations stick, and not all the ones that stick are bad. In fact, mutations are actually necessary for tracking and containing COVID-19. Here’s how viruses mutate and why you shouldn’t be worried when you hear about them.
MORE CORONAVIRUS COVERAGE:
What Could Be The Fastest Way To End The Coronavirus Crisis?
https://www.youtube.com/watch?v=aXW9cDN0IpY
Will Warm Weather Stop COVID-19?
https://www.youtube.com/watch?v=v7SBKPO-nkg
Why COVID-19 Death Predictions Will Always Be Wrong
https://www.youtube.com/watch?v=olu4BLfulDg
------------------------------------------------------
#Coronaviru...
published: 29 Apr 2020
mutate and transmute functions from dplyr
To create the video I used Camtasia software. Please use my affiliate link if you are interested http://techsmith.z6rjha.net/dataFish
This video shows how to use the mutate and transmute functions in the dplyr package
published: 22 Feb 2019
Using the dplyr mutate function
A tutorial showing how to use dplyr's mutate function to create a new data frame column from existing columns or modify an existing column. Related presentation materials and code are available at https://raw.githubusercontent.com/jfrench/DataWrangleViz/master/04-data-frame-manipulation.Rmd.
Videographic illustrating how a virus mutates. More than 100 million Covid-19 cases have now been recorded worldwide, according to an AFP tally on Tuesday, as n...
Videographic illustrating how a virus mutates. More than 100 million Covid-19 cases have now been recorded worldwide, according to an AFP tally on Tuesday, as newly-inaugurated President Joe Biden pledged to ramp up the struggling vaccine program in the United States.
Subscribe to AFP and activate your notifications to get the latest news 🔔
http://www.youtube.com/channel/UC86dbj-lbDks_hZ5gRKL49Q/?sub_confirmation=1
Videographic illustrating how a virus mutates. More than 100 million Covid-19 cases have now been recorded worldwide, according to an AFP tally on Tuesday, as newly-inaugurated President Joe Biden pledged to ramp up the struggling vaccine program in the United States.
Subscribe to AFP and activate your notifications to get the latest news 🔔
http://www.youtube.com/channel/UC86dbj-lbDks_hZ5gRKL49Q/?sub_confirmation=1
The mutate function in dplyr lets you add new variables to an existing data frame.
Documentation for for mutate:
https://dplyr.tidyverse.org/reference/mutate.h...
The mutate function in dplyr lets you add new variables to an existing data frame.
Documentation for for mutate:
https://dplyr.tidyverse.org/reference/mutate.html
Link to the Kaggle Notebook code used for this video series:
https://www.kaggle.com/hamelg/dplyr-in-r
View the whole dplyr in R playlist here:
https://www.youtube.com/watch?v=THGFXV4RW8U&list=PLiC1doDIe9rC8RgWPAWqDETE-VbKOWfWl
dplyr cheat sheet from RStudio:
https://www.rstudio.com/wp-content/uploads/2015/02/data-wrangling-cheatsheet.pdf
dplyr documentation:
https://cran.r-project.org/web/packages/dplyr/dplyr.pdf
Follow DataDaft on social media for news and updates:
Twitter: https://twitter.com/DataDaft
Join the DataDaft Discord to discuss all things data science:
https://discord.gg/ZS2yPNw
#dplyr #rprogramming #datascience
The mutate function in dplyr lets you add new variables to an existing data frame.
Documentation for for mutate:
https://dplyr.tidyverse.org/reference/mutate.html
Link to the Kaggle Notebook code used for this video series:
https://www.kaggle.com/hamelg/dplyr-in-r
View the whole dplyr in R playlist here:
https://www.youtube.com/watch?v=THGFXV4RW8U&list=PLiC1doDIe9rC8RgWPAWqDETE-VbKOWfWl
dplyr cheat sheet from RStudio:
https://www.rstudio.com/wp-content/uploads/2015/02/data-wrangling-cheatsheet.pdf
dplyr documentation:
https://cran.r-project.org/web/packages/dplyr/dplyr.pdf
Follow DataDaft on social media for news and updates:
Twitter: https://twitter.com/DataDaft
Join the DataDaft Discord to discuss all things data science:
https://discord.gg/ZS2yPNw
#dplyr #rprogramming #datascience
Want to learn more? Take the full course at https://learn.datacamp.com/courses/data-manipulation-with-dplyr at your own pace. More than a video, you'll learn h...
Want to learn more? Take the full course at https://learn.datacamp.com/courses/data-manipulation-with-dplyr at your own pace. More than a video, you'll learn hands-on coding & quickly apply skills to your daily work.
---
Datasets don't always have the variables you need. You can use the mutate() verb to add new variables or change existing variables.
Let's start with a dataset that has selected four interesting variables: state, county, population, and unemployment.
The unemployment rate is given as a percentage, so 5 would mean 5 percent, or one twentieth.
What if you were interested in the total number of unemployed people in a county, rather than as a percentage of the population? You could use the formula population times unemployment divided by 100.
You use the mutate() verb to calculate this variable and add it to the dataset as a new variable, which we'll name unemployed-underscore-population; add a pipe, then mutate, unemployed-underscore-population equals population times unemployment divided by 100.
Notice that the new dataset has the variable unemployed population added to it. You got to choose the name of this variable by putting unemployed-underscore-population before the equals sign.
You can combine this new variable with other verbs to ask more questions of your data. For example, what counties have the highest number of unemployed people? You'd add arrange desc unemployed-underscore-population to your mutate.
In the exercises, you'll add a few new variables and answer questions based on them with the filter and arrange verbs. Let's practice!
#R #RTutorial #DataCamp #Data #Manipulation #dplyr #Mutate
Want to learn more? Take the full course at https://learn.datacamp.com/courses/data-manipulation-with-dplyr at your own pace. More than a video, you'll learn hands-on coding & quickly apply skills to your daily work.
---
Datasets don't always have the variables you need. You can use the mutate() verb to add new variables or change existing variables.
Let's start with a dataset that has selected four interesting variables: state, county, population, and unemployment.
The unemployment rate is given as a percentage, so 5 would mean 5 percent, or one twentieth.
What if you were interested in the total number of unemployed people in a county, rather than as a percentage of the population? You could use the formula population times unemployment divided by 100.
You use the mutate() verb to calculate this variable and add it to the dataset as a new variable, which we'll name unemployed-underscore-population; add a pipe, then mutate, unemployed-underscore-population equals population times unemployment divided by 100.
Notice that the new dataset has the variable unemployed population added to it. You got to choose the name of this variable by putting unemployed-underscore-population before the equals sign.
You can combine this new variable with other verbs to ask more questions of your data. For example, what counties have the highest number of unemployed people? You'd add arrange desc unemployed-underscore-population to your mutate.
In the exercises, you'll add a few new variables and answer questions based on them with the filter and arrange verbs. Let's practice!
#R #RTutorial #DataCamp #Data #Manipulation #dplyr #Mutate
dplyr package provides a general framework for the manipulation of dataframes in R.
mutate() function create new variables
rename() function renames column nam...
dplyr package provides a general framework for the manipulation of dataframes in R.
mutate() function create new variables
rename() function renames column name
filter function link:
https://www.youtube.com/watch?v=o_7X_pCTeZk
select function link:
https://www.youtube.com/watch?v=2ROzqn1fz8c
arrange function link:
https://www.youtube.com/watch?v=Pwc0X6c1824
dplyr package provides a general framework for the manipulation of dataframes in R.
mutate() function create new variables
rename() function renames column name
filter function link:
https://www.youtube.com/watch?v=o_7X_pCTeZk
select function link:
https://www.youtube.com/watch?v=2ROzqn1fz8c
arrange function link:
https://www.youtube.com/watch?v=Pwc0X6c1824
mutate() is an easy and modern way to add columns to a data frame in R. Let's learn it!
If this vid helps you, please help me a tiny bit by mashing that 'like' ...
mutate() is an easy and modern way to add columns to a data frame in R. Let's learn it!
If this vid helps you, please help me a tiny bit by mashing that 'like' button. For more #rstats joy, crush that 'subscribe' button!
mutate() is an easy and modern way to add columns to a data frame in R. Let's learn it!
If this vid helps you, please help me a tiny bit by mashing that 'like' button. For more #rstats joy, crush that 'subscribe' button!
Genetic mutations aren’t as scary as they sound. With RNA viruses, like the coronavirus (SARS-CoV-2) that causes COVID-19, they’re happening constantly — basica...
Genetic mutations aren’t as scary as they sound. With RNA viruses, like the coronavirus (SARS-CoV-2) that causes COVID-19, they’re happening constantly — basically every time it replicates. But not all mutations stick, and not all the ones that stick are bad. In fact, mutations are actually necessary for tracking and containing COVID-19. Here’s how viruses mutate and why you shouldn’t be worried when you hear about them.
MORE CORONAVIRUS COVERAGE:
What Could Be The Fastest Way To End The Coronavirus Crisis?
https://www.youtube.com/watch?v=aXW9cDN0IpY
Will Warm Weather Stop COVID-19?
https://www.youtube.com/watch?v=v7SBKPO-nkg
Why COVID-19 Death Predictions Will Always Be Wrong
https://www.youtube.com/watch?v=olu4BLfulDg
------------------------------------------------------
#Coronavirus #Mutation #ScienceInsider
Science Insider tells you all you need to know about science: space, medicine, biotech, physiology, and more.
Visit us at: https://www.businessinsider.com
Science Insider on Facebook: https://www.facebook.com/BusinessInsiderScience/
Science Insider on Instagram: https://www.instagram.com/science_insider/
Business Insider on Twitter: https://twitter.com/businessinsider
Tech Insider on Twitter: https://twitter.com/techinsider
Business Insider/Tech Insider on Amazon Prime: http://read.bi/PrimeVideo
------------------------------------------------------
How Viruses Like The Coronavirus Mutate
Genetic mutations aren’t as scary as they sound. With RNA viruses, like the coronavirus (SARS-CoV-2) that causes COVID-19, they’re happening constantly — basically every time it replicates. But not all mutations stick, and not all the ones that stick are bad. In fact, mutations are actually necessary for tracking and containing COVID-19. Here’s how viruses mutate and why you shouldn’t be worried when you hear about them.
MORE CORONAVIRUS COVERAGE:
What Could Be The Fastest Way To End The Coronavirus Crisis?
https://www.youtube.com/watch?v=aXW9cDN0IpY
Will Warm Weather Stop COVID-19?
https://www.youtube.com/watch?v=v7SBKPO-nkg
Why COVID-19 Death Predictions Will Always Be Wrong
https://www.youtube.com/watch?v=olu4BLfulDg
------------------------------------------------------
#Coronavirus #Mutation #ScienceInsider
Science Insider tells you all you need to know about science: space, medicine, biotech, physiology, and more.
Visit us at: https://www.businessinsider.com
Science Insider on Facebook: https://www.facebook.com/BusinessInsiderScience/
Science Insider on Instagram: https://www.instagram.com/science_insider/
Business Insider on Twitter: https://twitter.com/businessinsider
Tech Insider on Twitter: https://twitter.com/techinsider
Business Insider/Tech Insider on Amazon Prime: http://read.bi/PrimeVideo
------------------------------------------------------
How Viruses Like The Coronavirus Mutate
To create the video I used Camtasia software. Please use my affiliate link if you are interested http://techsmith.z6rjha.net/dataFish
This video shows how t...
To create the video I used Camtasia software. Please use my affiliate link if you are interested http://techsmith.z6rjha.net/dataFish
This video shows how to use the mutate and transmute functions in the dplyr package
To create the video I used Camtasia software. Please use my affiliate link if you are interested http://techsmith.z6rjha.net/dataFish
This video shows how to use the mutate and transmute functions in the dplyr package
A tutorial showing how to use dplyr's mutate function to create a new data frame column from existing columns or modify an existing column. Related presentation...
A tutorial showing how to use dplyr's mutate function to create a new data frame column from existing columns or modify an existing column. Related presentation materials and code are available at https://raw.githubusercontent.com/jfrench/DataWrangleViz/master/04-data-frame-manipulation.Rmd.
A tutorial showing how to use dplyr's mutate function to create a new data frame column from existing columns or modify an existing column. Related presentation materials and code are available at https://raw.githubusercontent.com/jfrench/DataWrangleViz/master/04-data-frame-manipulation.Rmd.
Videographic illustrating how a virus mutates. More than 100 million Covid-19 cases have now been recorded worldwide, according to an AFP tally on Tuesday, as newly-inaugurated President Joe Biden pledged to ramp up the struggling vaccine program in the United States.
Subscribe to AFP and activate your notifications to get the latest news 🔔
http://www.youtube.com/channel/UC86dbj-lbDks_hZ5gRKL49Q/?sub_confirmation=1
The mutate function in dplyr lets you add new variables to an existing data frame.
Documentation for for mutate:
https://dplyr.tidyverse.org/reference/mutate.html
Link to the Kaggle Notebook code used for this video series:
https://www.kaggle.com/hamelg/dplyr-in-r
View the whole dplyr in R playlist here:
https://www.youtube.com/watch?v=THGFXV4RW8U&list=PLiC1doDIe9rC8RgWPAWqDETE-VbKOWfWl
dplyr cheat sheet from RStudio:
https://www.rstudio.com/wp-content/uploads/2015/02/data-wrangling-cheatsheet.pdf
dplyr documentation:
https://cran.r-project.org/web/packages/dplyr/dplyr.pdf
Follow DataDaft on social media for news and updates:
Twitter: https://twitter.com/DataDaft
Join the DataDaft Discord to discuss all things data science:
https://discord.gg/ZS2yPNw
#dplyr #rprogramming #datascience
Want to learn more? Take the full course at https://learn.datacamp.com/courses/data-manipulation-with-dplyr at your own pace. More than a video, you'll learn hands-on coding & quickly apply skills to your daily work.
---
Datasets don't always have the variables you need. You can use the mutate() verb to add new variables or change existing variables.
Let's start with a dataset that has selected four interesting variables: state, county, population, and unemployment.
The unemployment rate is given as a percentage, so 5 would mean 5 percent, or one twentieth.
What if you were interested in the total number of unemployed people in a county, rather than as a percentage of the population? You could use the formula population times unemployment divided by 100.
You use the mutate() verb to calculate this variable and add it to the dataset as a new variable, which we'll name unemployed-underscore-population; add a pipe, then mutate, unemployed-underscore-population equals population times unemployment divided by 100.
Notice that the new dataset has the variable unemployed population added to it. You got to choose the name of this variable by putting unemployed-underscore-population before the equals sign.
You can combine this new variable with other verbs to ask more questions of your data. For example, what counties have the highest number of unemployed people? You'd add arrange desc unemployed-underscore-population to your mutate.
In the exercises, you'll add a few new variables and answer questions based on them with the filter and arrange verbs. Let's practice!
#R #RTutorial #DataCamp #Data #Manipulation #dplyr #Mutate
dplyr package provides a general framework for the manipulation of dataframes in R.
mutate() function create new variables
rename() function renames column name
filter function link:
https://www.youtube.com/watch?v=o_7X_pCTeZk
select function link:
https://www.youtube.com/watch?v=2ROzqn1fz8c
arrange function link:
https://www.youtube.com/watch?v=Pwc0X6c1824
mutate() is an easy and modern way to add columns to a data frame in R. Let's learn it!
If this vid helps you, please help me a tiny bit by mashing that 'like' button. For more #rstats joy, crush that 'subscribe' button!
Genetic mutations aren’t as scary as they sound. With RNA viruses, like the coronavirus (SARS-CoV-2) that causes COVID-19, they’re happening constantly — basically every time it replicates. But not all mutations stick, and not all the ones that stick are bad. In fact, mutations are actually necessary for tracking and containing COVID-19. Here’s how viruses mutate and why you shouldn’t be worried when you hear about them.
MORE CORONAVIRUS COVERAGE:
What Could Be The Fastest Way To End The Coronavirus Crisis?
https://www.youtube.com/watch?v=aXW9cDN0IpY
Will Warm Weather Stop COVID-19?
https://www.youtube.com/watch?v=v7SBKPO-nkg
Why COVID-19 Death Predictions Will Always Be Wrong
https://www.youtube.com/watch?v=olu4BLfulDg
------------------------------------------------------
#Coronavirus #Mutation #ScienceInsider
Science Insider tells you all you need to know about science: space, medicine, biotech, physiology, and more.
Visit us at: https://www.businessinsider.com
Science Insider on Facebook: https://www.facebook.com/BusinessInsiderScience/
Science Insider on Instagram: https://www.instagram.com/science_insider/
Business Insider on Twitter: https://twitter.com/businessinsider
Tech Insider on Twitter: https://twitter.com/techinsider
Business Insider/Tech Insider on Amazon Prime: http://read.bi/PrimeVideo
------------------------------------------------------
How Viruses Like The Coronavirus Mutate
To create the video I used Camtasia software. Please use my affiliate link if you are interested http://techsmith.z6rjha.net/dataFish
This video shows how to use the mutate and transmute functions in the dplyr package
A tutorial showing how to use dplyr's mutate function to create a new data frame column from existing columns or modify an existing column. Related presentation materials and code are available at https://raw.githubusercontent.com/jfrench/DataWrangleViz/master/04-data-frame-manipulation.Rmd.
All alone Where are you Are we over Something said Wish we had All those good times Hey, hey where should we go today I brought you in here to stay Again, look what we've done today If im going then ill see the past I keep on going but im feelin jaded Dont keep runnin babe ill be there in wasteland Yeah You start the fight Dont you leave, it aint over The suns so bright One more life Lets start over Hey, hey look where we are today I wanna make sure youll stay with me Look what we've done today If im going then ill see the past I keep on going but im feelin jaded If im runnin then ill be fine in wasteland Yeah Hey, hey look what we've done today I wanna make sure youll stay with me Look what we've done today If im going then il see the past I keep on going but im feelin jaded
After France, the new strain of the mutated monkeypox virus, clade 1b has been identified in China...Common symptoms of mpox include fever, chills, headache, muscle aches, and swollen lymph nodes ... .
9, 2025 /PRNewswire/ -- Servier today announced updates to two of its Phase 3 programs evaluating TIBSOVO (ivosidenib tablets) in isocitrate dehydrogenase 1 (IDH1)-mutated cancers ... IDH-1 mutated MDS.
CAMBRIDGE, Mass., Jan. 8, 2025 /PRNewswire/ -- Marengo Therapeutics, Inc., a clinical-stage biotechnology company pioneering novel approaches for precision T cell activation, today announced that the U.S ... To learn more, visit marengotx.com ... 440k+ ... 9k+ ... .
MOSCOW (Sputnik) - The first death from the H5N1 bird flu was registered in the United State — in the state of Louisiana, local health department said ....
The SORT-IN-2 study will evaluate VES001 in patients with mutations in their progranulin-coding gene (GRN), which are causal for FTD(GRN) ... in patients with GRN mutations who are currently asymptomatic.