- tutorials 4
- ggplot2 4
- visualization 4
- R 3
- tidy 2
- thoughts 2
- content 1
- image 1
- logistic regression 1
- machine leaning 1
- kaggle 1
- factors 1
- purrr 1
- lists 1
- iterations 1
- marimekko 1
- statistics 1
- inference 1
- hedgehog 1
- venn diagram 1
- mistakes 1
- Bob Ross 1
tutorials
Visualizing Data in R with ggplot2 (Part 3)
This is the final part of the series on data visualization using the popular ggplot2 package.
Visualizing Data In R With ggplot2 (Part 2)
This is the second of a three part series on data visualization using the popular ggplot2 package.
Visualizing Data in R with ggplot2 (Part 1)
This is the first of a three part series on data visualization using the popular ggplot2
package.
An Introduction to forcats
Defining Factors
The forcats
package is part of the tidyverse and is useful for dealing with factors. Factors are simply categorical variables, useful for controlling the levels and order of a vector.
ggplot2
Marimekko Charts in R
Hello! In this post we’re going to explore some data using a Marimekko chart.
Visualizing Data in R with ggplot2 (Part 3)
This is the final part of the series on data visualization using the popular ggplot2 package.
Visualizing Data In R With ggplot2 (Part 2)
This is the second of a three part series on data visualization using the popular ggplot2 package.
Visualizing Data in R with ggplot2 (Part 1)
This is the first of a three part series on data visualization using the popular ggplot2
package.
visualization
Marimekko Charts in R
Hello! In this post we’re going to explore some data using a Marimekko chart.
Visualizing Data in R with ggplot2 (Part 3)
This is the final part of the series on data visualization using the popular ggplot2 package.
Visualizing Data In R With ggplot2 (Part 2)
This is the second of a three part series on data visualization using the popular ggplot2 package.
Visualizing Data in R with ggplot2 (Part 1)
This is the first of a three part series on data visualization using the popular ggplot2
package.
R
Statistical Inference
Hello again! In this post we’re going to explore a very important statistical topic: Inference.
Marimekko Charts in R
Hello! In this post we’re going to explore some data using a Marimekko chart.
Lists & Iterations with Purrr
Part 1: Introduction to Purrr
tidy
Lists & Iterations with Purrr
Part 1: Introduction to Purrr
An Introduction to forcats
Defining Factors
The forcats
package is part of the tidyverse and is useful for dealing with factors. Factors are simply categorical variables, useful for controlling the levels and order of a vector.
thoughts
Mistakes
We all make them. We dwell on the little ones and beat ourselves up over the big ones. Society leads us to beleive that perfection is the key to success; our errors are a direct reflection of our competency and self worth. Therfore, we try to minimize the mistakes we make, or worse, we refrain from activity or decisions altogether for fear of making them.
The Hedgehog Concept
I recently listened to a podcast with Jim Collins, a brilliant thinker, entrepreneur, and writer on the topics of business and leadership. One of his ideas is the “Hedgehog Concept” which is based on a famous essay by Isaiah Berlin, titled “The Hedgehog and the Fox”. The title is an ancient reference to the Greek poet Archilochus: “A fox knows many things, but a hedgehog one important thing”. And this is ultimately a metaphor for how the world is divided. On one side, there are the foxes who draw upon different experiences and ideas in which to view the world. On the other side, the hedgehogs are those which see the world through a single defining idea.
content
Post: Image
This post should display a large image at the top of a page.
image
Post: Image
This post should display a large image at the top of a page.
logistic regression
Titanic Passenger Survival Predictions
Introduction
machine leaning
Titanic Passenger Survival Predictions
Introduction
kaggle
Titanic Passenger Survival Predictions
Introduction
factors
An Introduction to forcats
Defining Factors
The forcats
package is part of the tidyverse and is useful for dealing with factors. Factors are simply categorical variables, useful for controlling the levels and order of a vector.
purrr
Lists & Iterations with Purrr
Part 1: Introduction to Purrr
lists
Lists & Iterations with Purrr
Part 1: Introduction to Purrr
iterations
Lists & Iterations with Purrr
Part 1: Introduction to Purrr
marimekko
Marimekko Charts in R
Hello! In this post we’re going to explore some data using a Marimekko chart.
statistics
Statistical Inference
Hello again! In this post we’re going to explore a very important statistical topic: Inference.
inference
Statistical Inference
Hello again! In this post we’re going to explore a very important statistical topic: Inference.
hedgehog
The Hedgehog Concept
I recently listened to a podcast with Jim Collins, a brilliant thinker, entrepreneur, and writer on the topics of business and leadership. One of his ideas is the “Hedgehog Concept” which is based on a famous essay by Isaiah Berlin, titled “The Hedgehog and the Fox”. The title is an ancient reference to the Greek poet Archilochus: “A fox knows many things, but a hedgehog one important thing”. And this is ultimately a metaphor for how the world is divided. On one side, there are the foxes who draw upon different experiences and ideas in which to view the world. On the other side, the hedgehogs are those which see the world through a single defining idea.
venn diagram
The Hedgehog Concept
I recently listened to a podcast with Jim Collins, a brilliant thinker, entrepreneur, and writer on the topics of business and leadership. One of his ideas is the “Hedgehog Concept” which is based on a famous essay by Isaiah Berlin, titled “The Hedgehog and the Fox”. The title is an ancient reference to the Greek poet Archilochus: “A fox knows many things, but a hedgehog one important thing”. And this is ultimately a metaphor for how the world is divided. On one side, there are the foxes who draw upon different experiences and ideas in which to view the world. On the other side, the hedgehogs are those which see the world through a single defining idea.
mistakes
Mistakes
We all make them. We dwell on the little ones and beat ourselves up over the big ones. Society leads us to beleive that perfection is the key to success; our errors are a direct reflection of our competency and self worth. Therfore, we try to minimize the mistakes we make, or worse, we refrain from activity or decisions altogether for fear of making them.
Bob Ross
Mistakes
We all make them. We dwell on the little ones and beat ourselves up over the big ones. Society leads us to beleive that perfection is the key to success; our errors are a direct reflection of our competency and self worth. Therfore, we try to minimize the mistakes we make, or worse, we refrain from activity or decisions altogether for fear of making them.