Hennes Archives

Example Talk

Sat, 01 Jun 2030 13:00:00 +0000

Click on the Slides button above to view the built-in slides feature.

Slides can be added in a few ways:

Create slides using Wowchemy’s Slides feature and link using slides parameter in the front matter of the talk file
Upload an existing slide deck to static/ and link using url_slides parameter in the front matter of the talk file
Embed your slides (e.g. Google Slides) or presentation video on this page using shortcodes.

Further event details, including page elements such as image galleries, can be added to the body of this page.

Summary of 2023 StatStart Program

Tue, 25 Jul 2023 21:13:14 -0500

Introduction

Hello to everyone reading this post. The objective for this post is to showcase some of the numerous things me and my fellow stat start program people have done throughout the course of this 4 week program. In this blog post you will see some graphs, histograms, data (obviously), and many more to showcase just how much we have grown within these very short 4 weeks.

The format in this post will be as followed:

Data Analysis Portion of stat start
- Will show bits of code from R
Florence Nightingale Data
- City ownership
- Stat of life
Statistical analyzation
- Misconceptions
- Compare and contrast trends

(For those who want more details on how to use R Markdown check out this link http://rmarkdown.rstudio.com)

Data Analysis Portion

(Part by: Ryan Mac) (Note: The following data set used is provided by the DSLabs library)

An example data set that we’re going to examine in this post is the 2010 NYC Regents Exam data collection provided from the DSLabs library. To keep the length of the blog relatively sized, we’re only going to take a look at the statistical summary within the given data set.

For better context to this data set, the data set is split into 6 data categories ranging from the student’s overall score to the students explicit subject scores like Integrated Algebra, US History, or English. With that in mind, lets take a look at what happens when we plot the mean of this data set:

# For this visualization, we're going to need DSLabs to get the NYC Regents data set and ggplot 2 for graphing 

library(dslabs)
library(ggplot2)
library(tidyverse)

# Now let's actually graph these data parts

# Mean of Overall Scores
ggplot(data=nyc_regents_scores,aes(x=score))+
 geom_histogram(aes(y =..density..),binwidth=1000,color="black",fill="white")+
  ggtitle("Overall Student Scores")+
  xlab("Score Range")+
  ylab("Density (# of People)")+
  theme_bw()+
  geom_vline(xintercept=mean(nyc_regents_scores$score,na.rm=T),color="blue",linetype="dashed")


# Mean of Integrated Algebra Scores
ggplot(data=nyc_regents_scores,aes(x=integrated_algebra))+
 geom_histogram(aes(y =..density..),binwidth=1000,color="black",fill="white")+
  ggtitle("Integrated Algebra Scores")+
  xlab("Score Range")+
  ylab("Density (# of People)")+
  theme_bw()+
  geom_vline(xintercept=mean(nyc_regents_scores$integrated_algebra,na.rm=T),color="blue",linetype="dashed")


# Mean of Integrated Algebra Scores
ggplot(data=nyc_regents_scores,aes(x=english))+
 geom_histogram(aes(y =..density..),binwidth=1000,color="black",fill="white")+
  ggtitle("Integrated Algebra Scores")+
  xlab("Score Range")+
  ylab("Density (# of People)")+
  theme_bw()+
  geom_vline(xintercept=mean(nyc_regents_scores$english,na.rm=T),color="blue",linetype="dashed")

At first glance, the overall score plot seems weird mainly because it seems like everyone had an equal distribution of scores. However, in subjects like Integrated Algebra or English, it seems as if the majority of people failed the subject! Since there’s a majority of failure, plotting the mean in this case results in an unrepresentative average report since the data is skewed. If we were to plot something like the median, we should see a central point that makes more sense:

# Median of Overall Scores
ggplot(data=nyc_regents_scores,aes(x=score))+
 geom_histogram(aes(y =..density..),binwidth=1000,color="black",fill="white")+
  ggtitle("Overall Student Scores")+
  xlab("Score Range")+
  ylab("Density (# of People)")+
  theme_bw()+
  geom_vline(xintercept=median(nyc_regents_scores$score,na.rm=T),color="blue",linetype="dashed")


# Median of Integrated Algebra Scores
ggplot(data=nyc_regents_scores,aes(x=integrated_algebra))+
 geom_histogram(aes(y =..density..),binwidth=1000,color="black",fill="white")+
  ggtitle("Integrated Algebra Scores")+
  xlab("Score Range")+
  ylab("Density (# of People)")+
  theme_bw()+
  geom_vline(xintercept=median(nyc_regents_scores$integrated_algebra,na.rm=T),color="blue",linetype="dashed")


# Median of Integrated Algebra Scores
ggplot(data=nyc_regents_scores,aes(x=english))+
 geom_histogram(aes(y =..density..),binwidth=1000,color="black",fill="white")+
  ggtitle("Integrated Algebra Scores")+
  xlab("Score Range")+
  ylab("Density (# of People)")+
  theme_bw()+
  geom_vline(xintercept=median(nyc_regents_scores$english,na.rm=T),color="blue",linetype="dashed")

In this case, the plot driven by R code seems to work properly as it should. As for why the data looks strange, we’ll cover that later on in this blog. For now, let’s take a look at another example of doing data analysis in R.

Florence Nightingale Data Portion

(Part by: Joshua Hennes) (Credits to Professor Kelly and her team for creating this dataset used within this part of the blog)

In this section of the post we will be looking at the data comparisons within different trees in Cambridge and Boston. The objective we tried to do using this dataset was to figure out how to use R to showcase the different ownership of trees and the

So let’s get started. The first thing we needed to do was to download and install tidyverse. This is to help with the creation of our graph. Once tidyverse was installed we ran this line of code below:

library(tidyverse)

The reason we ran library(tidyverse) instead of just using tidyverse is because in order for R to fully understand that we specifically want to use the functions within tidyverse, we have to call it. Henceforth why we use the library() which is designed to tell R studio what we want to call and use functions of.

After that was finished, we then had to get the dataset which contained the tree data. So we ran these two codes below:

# this chunk is to install the package
install.packages("devtools")
devtools::install_github("harvard-ufds/bosTrees")

library(bosTrees)

# This is to load the data
data(bosTrees)
data(camTrees)

Now here is the fun part. So as stated above, our first objective is to showcase the different ownership within the streets of Cambridge. So now to do this we wrote these lines of code which I will explain just after this:

ggplot(data = camTrees, mapping = aes(x = Longitude,
                                      y = Latitude,
                                      color = Ownership)) +
  geom_point(alpha = 0.05) +
  guides(colour = guide_legend(override.aes = list(alpha = 1)))

Let’s dissect this code line by line. So the reason why we use ggplot() is because it’s the function to help us create the graph we want to portray. But if we just said ggplot(), it would give us a blank graph with nothing on it. Henceforth why we give it parameters.

The first of these parameters being which dataset we want to use within our saved Data. To do this we said data = camTrees, to let R studio know we want that specific dataset.

After that, we use the mapping function so as to let R Studio know just how to plot these different points on the graph (Which is why when plotted they make the various streets of cambridge). In which we set in the aesthetic: the X to be longitude, and the Y to be Latitude. Once all of that is done, we set the colors to be equal to ownership. This way we can tell who owns which trees. But we are not done yet, since we have two more lines to talk about.

Let’s start with the guides() line first. Why this line is extremely important is because we need a type of legend to indicate to us just what these colors mean. Cause let’s say we never created that line. Well you will indeed get a graph that shows different colors, but we still wouldn’t know who owns what because there would be no legend to tell us just what the colors stand for.

Now somebody may ask the question “Well that makes sense. But what does the override.aes=list(Alpha = 1) mean?” Well I will explain both that and what the line above stands for. Now the reason why we said the override function, is because the line above the guide function is a transparency function. Which counts for anything relating to the different ownership colors. So if we were to just run the entire code without having the override in there, we would indeed have a legend, but the colors would be so hard to see. So that’s why we added the override function to keep the color non transparent and easier to see.

With all of that being said, congratulations! You just created your first Graph and learned a bit more about R Studio!. However, I would implore you to mess around with the different variables you can add into the graph. For example, instead of ownership, why not switch it for another variable within the dataset. Like the Solar variable (Wink, wink, nudge, nudge).

Statistical Analysis

So, we’ve come to this point where we’ve shown plotted data sets using R code and as seen in the post, it’s working as it should. Plots in R code however are only half of the story, now it’s time to interpret this whole thing.

Let’s start off with the 2010 NYC Reagents data. Looking back at the original graphs, you may ask “Why do your graphs look very weird and skewed?”. The answer to that is worth examining the data set itself.

(Show image of improper data set)

What you’re looking at here is a data row where in this case a student got a perfect score of 100. However, looking past that category, all the other individual subject scores appear as “NA” data, and this is just one out of many scenarios that appear like this. Situations like this can easily cause misinterpretation of the data because although the student got a perfect score on the exam overall, none of their subject data recorded, which may contribute to “Skewed data plots” shown in subjects like Integrated Algebra or English. Knowing the errors within the data set, this misinterpretation raises questions like “In reality, how many people got a perfect score?” and that question can be very difficult to solve.

Misconceptions can also arise in the Boston Trees data set as well. Although there aren’t as many marginal errors shown in other sets like the 2010 NYC Regents Exam, sometimes datasets may not be up to date to new data. For example, the data set can contain data with a date for when a tree date listed and no removal date, but when searching through maps (or visiting the tree’s location in person), the tree may not exist in that spot anymore which can arise such questions like “Was the tree planted even real?” or “When did the tree actually get removed?”, going back to the point that these misconceptions may make solving data questions a mystery like Big Foot.

With that being said, you’ve made it to the end of this post! Hopefully you’ve found this blog post to be intriguing or informative. (Fun Fact: This whole post is made using R too!). Since this is our first written by the two of us (Ryan & Joshua), we’ll be making more posts to our own respective blog websites so be sure to follow up with that as our blog sites progresses!

Welcome to Wowchemy, the website builder for Hugo

Sun, 13 Dec 2020 00:00:00 +0000

import libr
print('hello')

Overview

The Wowchemy website builder for Hugo, along with its starter templates, is designed for professional creators, educators, and teams/organizations - although it can be used to create any kind of site
The template can be modified and customised to suit your needs. It’s a good platform for anyone looking to take control of their data and online identity whilst having the convenience to start off with a no-code solution (write in Markdown and customize with YAML parameters) and having flexibility to later add even deeper personalization with HTML and CSS
You can work with all your favourite tools and apps with hundreds of plugins and integrations to speed up your workflows, interact with your readers, and much more

Get Started

👉 Create a new site
📚 Personalize your site
💬 Chat with the Wowchemy community or Hugo community
🐦 Twitter: @wowchemy @GeorgeCushen #MadeWithWowchemy
💡 Request a feature or report a bug for Wowchemy
⬆️ Updating Wowchemy? View the Update Tutorial and Release Notes

Crowd-funded open-source software

To help us develop this template and software sustainably under the MIT license, we ask all individuals and businesses that use it to help support its ongoing maintenance and development via sponsorship.

As a token of appreciation for sponsoring, you can unlock these awesome rewards and extra features 🦄✨

Ecosystem

Hugo Academic CLI: Automatically import publications from BibTeX

Inspiration

Check out the latest demo of what you’ll get in less than 10 minutes, or view the showcase of personal, project, and business sites.

Features

Page builder - Create anything with widgets and elements
Edit any type of content - Blog posts, publications, talks, slides, projects, and more!
Create content in Markdown, Jupyter, or RStudio
Plugin System - Fully customizable color and font themes
Display Code and Math - Code highlighting and LaTeX math supported
Integrations - Google Analytics, Disqus commenting, Maps, Contact Forms, and more!
Beautiful Site - Simple and refreshing one page design
Industry-Leading SEO - Help get your website found on search engines and social media
Media Galleries - Display your images and videos with captions in a customizable gallery
Mobile Friendly - Look amazing on every screen with a mobile friendly version of your site
Multi-language - 34+ language packs including English, 中文, and Português
Multi-user - Each author gets their own profile page
Privacy Pack - Assists with GDPR
Stand Out - Bring your site to life with animation, parallax backgrounds, and scroll effects
One-Click Deployment - No servers. No databases. Only files.

Themes

Wowchemy and its templates come with automatic day (light) and night (dark) mode built-in. Alternatively, visitors can choose their preferred mode - click the moon icon in the top right of the Demo to see it in action! Day/night mode can also be disabled by the site admin in params.toml.

Choose a stunning theme and font for your site. Themes are fully customizable.

License

Released under the MIT license.

Hello R Markdown

Tue, 01 Dec 2020 21:13:14 -0500

R Markdown

This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.

You can embed an R code chunk like this:

summary(cars)
##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00
fit <- lm(dist ~ speed, data = cars)
fit
## 
## Call:
## lm(formula = dist ~ speed, data = cars)
## 
## Coefficients:
## (Intercept)        speed  
##     -17.579        3.932

Including Plots

You can also embed plots. See Figure 1 for example:

par(mar = c(0, 1, 0, 1))
pie(
  c(280, 60, 20),
  c('Sky', 'Sunny side of pyramid', 'Shady side of pyramid'),
  col = c('#0292D8', '#F7EA39', '#C4B632'),
  init.angle = -50, border = NA
)

Figure 1: A fancy pie chart.

Writing technical content in Markdown

Fri, 12 Jul 2019 00:00:00 +0000

Wowchemy is designed to give technical content creators a seamless experience. You can focus on the content and Wowchemy handles the rest.

Highlight your code snippets, take notes on math classes, and draw diagrams from textual representation.

On this page, you’ll find some examples of the types of technical content that can be rendered with Wowchemy.

Examples

Code

Wowchemy supports a Markdown extension for highlighting code syntax. You can customize the styles under the syntax_highlighter option in your config/_default/params.yaml file.

```python
import pandas as pd
data = pd.read_csv("data.csv")
data.head()
```

renders as

import pandas as pd
data = pd.read_csv("data.csv")
data.head()

Mindmaps

Wowchemy supports a Markdown extension for mindmaps.

Simply insert a Markdown markmap code block and optionally set the height of the mindmap as shown in the example below.

A simple mindmap defined as a Markdown list:


```markmap {height="200px"}
- Hugo Modules
  - wowchemy
  - wowchemy-plugins-netlify
  - wowchemy-plugins-netlify-cms
  - wowchemy-plugins-reveal
```

renders as

- Hugo Modules
  - wowchemy
  - wowchemy-plugins-netlify
  - wowchemy-plugins-netlify-cms
  - wowchemy-plugins-reveal

A more advanced mindmap with formatting, code blocks, and math:


```markmap
- Mindmaps
  - Links
    - [Wowchemy Docs](https://wowchemy.com/docs/)
    - [Discord Community](https://discord.gg/z8wNYzb)
    - [GitHub](https://github.com/wowchemy/wowchemy-hugo-themes)
  - Features
    - Markdown formatting
    - **inline** ~~text~~ *styles*
    - multiline
      text
    - `inline code`
    -
      ```js
      console.log('hello');
      console.log('code block');
      ```
    - Math: $x = {-b \pm \sqrt{b^2-4ac} \over 2a}$
```

renders as

- Mindmaps
  - Links
    - [Wowchemy Docs](https://wowchemy.com/docs/)
    - [Discord Community](https://discord.gg/z8wNYzb)
    - [GitHub](https://github.com/wowchemy/wowchemy-hugo-themes)
  - Features
    - Markdown formatting
    - **inline** ~~text~~ *styles*
    - multiline
      text
    - `inline code`
    -
      ```js
      console.log('hello');
      console.log('code block');
      ```
    - Math: $x = {-b \pm \sqrt{b^2-4ac} \over 2a}$

Charts

Wowchemy supports the popular Plotly format for interactive charts.

Save your Plotly JSON in your page folder, for example line-chart.json, and then add the {{< chart data="line-chart" >}} shortcode where you would like the chart to appear.

Demo:

You might also find the Plotly JSON Editor useful.

Math

Wowchemy supports a Markdown extension for $\LaTeX$ math. You can enable this feature by toggling the math option in your config/_default/params.yaml file.

To render inline or block math, wrap your LaTeX math with {{< math >}}$...${{< /math >}} or {{< math >}}$$...$${{< /math >}}, respectively. (We wrap the LaTeX math in the Wowchemy math shortcode to prevent Hugo rendering our math as Markdown. The math shortcode is new in v5.5-dev.)

Example math block:

{{< math >}}
$$
\gamma_{n} = \frac{ \left | \left (\mathbf x_{n} - \mathbf x_{n-1} \right )^T \left [\nabla F (\mathbf x_{n}) - \nabla F (\mathbf x_{n-1}) \right ] \right |}{\left \|\nabla F(\mathbf{x}_{n}) - \nabla F(\mathbf{x}_{n-1}) \right \|^2}
$$
{{< /math >}}

renders as

$$\gamma_{n} = \frac{ \left | \left (\mathbf x_{n} - \mathbf x_{n-1} \right )^T \left [\nabla F (\mathbf x_{n}) - \nabla F (\mathbf x_{n-1}) \right ] \right |}{\left \|\nabla F(\mathbf{x}_{n}) - \nabla F(\mathbf{x}_{n-1}) \right \|^2}$$

Example inline math {{< math >}}$\nabla F(\mathbf{x}_{n})${{< /math >}} renders as $\nabla F(\mathbf{x}_{n})$.

Example multi-line math using the math linebreak (\\):

{{< math >}}
$$f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\
1-p_{0}^{*} & \text{if }k=0.\end{cases}$$
{{< /math >}}

renders as

$$ f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\ 1-p_{0}^{*} & \text{if }k=0.\end{cases} $$

Diagrams

Wowchemy supports a Markdown extension for diagrams. You can enable this feature by toggling the diagram option in your config/_default/params.toml file or by adding diagram: true to your page front matter.

An example flowchart:

```mermaid
graph TD
A[Hard] -->|Text| B(Round)
B --> C{Decision}
C -->|One| D[Result 1]
C -->|Two| E[Result 2]
```

renders as

graph TD A[Hard] -->|Text| B(Round) B --> C{Decision} C -->|One| D[Result 1] C -->|Two| E[Result 2]

An example sequence diagram:

```mermaid
sequenceDiagram
Alice->>John: Hello John, how are you?
loop Healthcheck
    John->>John: Fight against hypochondria
end
Note right of John: Rational thoughts!
John-->>Alice: Great!
John->>Bob: How about you?
Bob-->>John: Jolly good!
```

renders as

sequenceDiagram Alice->>John: Hello John, how are you? loop Healthcheck John->>John: Fight against hypochondria end Note right of John: Rational thoughts! John-->>Alice: Great! John->>Bob: How about you? Bob-->>John: Jolly good!

An example Gantt diagram:

```mermaid
gantt
section Section
Completed :done,    des1, 2014-01-06,2014-01-08
Active        :active,  des2, 2014-01-07, 3d
Parallel 1   :         des3, after des1, 1d
Parallel 2   :         des4, after des1, 1d
Parallel 3   :         des5, after des3, 1d
Parallel 4   :         des6, after des4, 1d
```

renders as

gantt section Section Completed :done, des1, 2014-01-06,2014-01-08 Active :active, des2, 2014-01-07, 3d Parallel 1 : des3, after des1, 1d Parallel 2 : des4, after des1, 1d Parallel 3 : des5, after des3, 1d Parallel 4 : des6, after des4, 1d

An example class diagram:

```mermaid
classDiagram
Class01 <|-- AveryLongClass : Cool
Class03 *-- Class04
Class05 o-- Class06
Class07 .. Class08
Class09 --> C2 : Where am i?
Class09 --* C3
Class09 --|> Class07
Class07 : equals()
Class07 : Object[] elementData
Class01 : size()
Class01 : int chimp
Class01 : int gorilla
Class08 <--> C2: Cool label
```

renders as

classDiagram Class01 <|-- AveryLongClass : Cool Class03 *-- Class04 Class05 o-- Class06 Class07 .. Class08 Class09 --> C2 : Where am i? Class09 --* C3 Class09 --|> Class07 Class07 : equals() Class07 : Object[] elementData Class01 : size() Class01 : int chimp Class01 : int gorilla Class08 <--> C2: Cool label

An example state diagram:

```mermaid
stateDiagram
[*] --> Still
Still --> [*]
Still --> Moving
Moving --> Still
Moving --> Crash
Crash --> [*]
```

renders as

stateDiagram [*] --> Still Still --> [*] Still --> Moving Moving --> Still Moving --> Crash Crash --> [*]

Todo lists

You can even write your todo lists in Markdown too:

- [x] Write math example
  - [x] Write diagram example
- [ ] Do something else

renders as

Write math example
- Write diagram example
Do something else

Tables

Save your spreadsheet as a CSV file in your page’s folder and then render it by adding the Table shortcode to your page:

{{< table path="results.csv" header="true" caption="Table 1: My results" >}}

renders as

Table 1: My results
customer_id	score
1	0
2	0.5
3	1

Callouts

Academic supports a shortcode for callouts, also referred to as asides, hints, or alerts. By wrapping a paragraph in {{% callout note %}} ... {{% /callout %}}, it will render as an aside.

{{% callout note %}}
A Markdown aside is useful for displaying notices, hints, or definitions to your readers.
{{% /callout %}}

renders as

A Markdown aside is useful for displaying notices, hints, or definitions to your readers.

Spoilers

Add a spoiler to a page to reveal text, such as an answer to a question, after a button is clicked.

{{< spoiler text="Click to view the spoiler" >}}
You found me!
{{< /spoiler >}}

renders as

Click to view the spoiler

You found me!

Icons

Academic enables you to use a wide range of icons from Font Awesome and Academicons in addition to emojis.

Here are some examples using the icon shortcode to render icons:

{{< icon name="terminal" pack="fas" >}} Terminal  
{{< icon name="python" pack="fab" >}} Python  
{{< icon name="r-project" pack="fab" >}} R

renders as

Terminal
Python
R

An example preprint / working paper

Sun, 07 Apr 2019 00:00:00 +0000

Create your slides in Markdown - click the Slides button to check out the example.

Supplementary notes can be added here, including code, math, and images.

Display Jupyter Notebooks with Academic

Tue, 05 Feb 2019 00:00:00 +0000

from IPython.core.display import Image
Image('https://www.python.org/static/community_logos/python-logo-master-v3-TM-flattened.png')

print("Welcome to Academic!")

Welcome to Academic!

Install Python and JupyterLab

Install Anaconda which includes Python 3 and JupyterLab.

Alternatively, install JupyterLab with pip3 install jupyterlab.

Create or upload a Jupyter notebook

Run the following commands in your Terminal, substituting <MY-WEBSITE-FOLDER> and <SHORT-POST-TITLE> with the file path to your Academic website folder and a short title for your blog post (use hyphens instead of spaces), respectively:

mkdir -p <MY-WEBSITE-FOLDER>/content/post/<SHORT-POST-TITLE>/
cd <MY-WEBSITE-FOLDER>/content/post/<SHORT-POST-TITLE>/
jupyter lab index.ipynb

The jupyter command above will launch the JupyterLab editor, allowing us to add Academic metadata and write the content.

Edit your post metadata

The first cell of your Jupter notebook will contain your post metadata (front matter).

In Jupter, choose Markdown as the type of the first cell and wrap your Academic metadata in three dashes, indicating that it is YAML front matter:

---
title: My post's title
date: 2019-09-01

# Put any other Academic metadata here...
---

Edit the metadata of your post, using the documentation as a guide to the available options.

To set a featured image, place an image named featured into your post’s folder.

For other tips, such as using math, see the guide on writing content with Academic.

Convert notebook to Markdown

jupyter nbconvert index.ipynb --to markdown --NbConvertApp.output_files_dir=.

Example

This post was created with Jupyter. The orginal files can be found at https://github.com/gcushen/hugo-academic/tree/master/exampleSite/content/post/jupyter

Slides

Tue, 05 Feb 2019 00:00:00 +0000

Create slides in Markdown with Wowchemy

Wowchemy | Documentation

Features

Efficiently write slides in Markdown
3-in-1: Create, Present, and Publish your slides
Supports speaker notes
Mobile friendly slides

Controls

Next: Right Arrow or Space
Previous: Left Arrow
Start: Home
Finish: End
Overview: Esc
Speaker notes: S
Fullscreen: F
Zoom: Alt + Click
PDF Export

Code Highlighting

Inline code: variable

Code block:

porridge = "blueberry"
if porridge == "blueberry":
    print("Eating...")

Math

In-line math: $x + y = z$

Block math:

$$ f\left( x \right) = ;\frac{{2\left( {x + 4} \right)\left( {x - 4} \right)}}{{\left( {x + 4} \right)\left( {x + 1} \right)}} $$

Fragments

Make content appear incrementally

{{% fragment %}} One {{% /fragment %}}
{{% fragment %}} **Two** {{% /fragment %}}
{{% fragment %}} Three {{% /fragment %}}

Press Space to play!

One Two Three

A fragment can accept two optional parameters:

class: use a custom style (requires definition in custom CSS)
weight: sets the order in which a fragment appears

Speaker Notes

Add speaker notes to your presentation

{{% speaker_note %}}

- Only the speaker can read these notes
- Press `S` key to view
  {{% /speaker_note %}}

Press the S key to view the speaker notes!

Themes

black: Black background, white text, blue links (default)
white: White background, black text, blue links
league: Gray background, white text, blue links
beige: Beige background, dark text, brown links
sky: Blue background, thin dark text, blue links

night: Black background, thick white text, orange links
serif: Cappuccino background, gray text, brown links
simple: White background, black text, blue links
solarized: Cream-colored background, dark green text, blue links

Custom Slide

Customize the slide style and background

{{< slide background-image="/media/boards.jpg" >}}
{{< slide background-color="#0000FF" >}}
{{< slide class="my-style" >}}

Custom CSS Example

Let’s make headers navy colored.

Create assets/css/reveal_custom.css with:

.reveal section h1,
.reveal section h2,
.reveal section h3 {
  color: navy;
}

Questions?

Ask

Documentation

Privacy Policy

Thu, 28 Jun 2018 00:00:00 +0100

Add your privacy policy here and set draft: false to publish it. Otherwise, delete this file if you don’t need it.

Terms

Thu, 28 Jun 2018 00:00:00 +0100

Add your terms here and set draft: false to publish it. Otherwise, delete this file if you don’t need it.

Example Project

Wed, 27 Apr 2016 00:00:00 +0000

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum. Sed ac faucibus dolor, scelerisque sollicitudin nisi. Cras purus urna, suscipit quis sapien eu, pulvinar tempor diam. Quisque risus orci, mollis id ante sit amet, gravida egestas nisl. Sed ac tempus magna. Proin in dui enim. Donec condimentum, sem id dapibus fringilla, tellus enim condimentum arcu, nec volutpat est felis vel metus. Vestibulum sit amet erat at nulla eleifend gravida.

Nullam vel molestie justo. Curabitur vitae efficitur leo. In hac habitasse platea dictumst. Sed pulvinar mauris dui, eget varius purus congue ac. Nulla euismod, lorem vel elementum dapibus, nunc justo porta mi, sed tempus est est vel tellus. Nam et enim eleifend, laoreet sem sit amet, elementum sem. Morbi ut leo congue, maximus velit ut, finibus arcu. In et libero cursus, rutrum risus non, molestie leo. Nullam congue quam et volutpat malesuada. Sed risus tortor, pulvinar et dictum nec, sodales non mi. Phasellus lacinia commodo laoreet. Nam mollis, erat in feugiat consectetur, purus eros egestas tellus, in auctor urna odio at nibh. Mauris imperdiet nisi ac magna convallis, at rhoncus ligula cursus.

Cras aliquam rhoncus ipsum, in hendrerit nunc mattis vitae. Duis vitae efficitur metus, ac tempus leo. Cras nec fringilla lacus. Quisque sit amet risus at ipsum pharetra commodo. Sed aliquam mauris at consequat eleifend. Praesent porta, augue sed viverra bibendum, neque ante euismod ante, in vehicula justo lorem ac eros. Suspendisse augue libero, venenatis eget tincidunt ut, malesuada at lorem. Donec vitae bibendum arcu. Aenean maximus nulla non pretium iaculis. Quisque imperdiet, nulla in pulvinar aliquet, velit quam ultrices quam, sit amet fringilla leo sem vel nunc. Mauris in lacinia lacus.

Suspendisse a tincidunt lacus. Curabitur at urna sagittis, dictum ante sit amet, euismod magna. Sed rutrum massa id tortor commodo, vitae elementum turpis tempus. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aenean purus turpis, venenatis a ullamcorper nec, tincidunt et massa. Integer posuere quam rutrum arcu vehicula imperdiet. Mauris ullamcorper quam vitae purus congue, quis euismod magna eleifend. Vestibulum semper vel augue eget tincidunt. Fusce eget justo sodales, dapibus odio eu, ultrices lorem. Duis condimentum lorem id eros commodo, in facilisis mauris scelerisque. Morbi sed auctor leo. Nullam volutpat a lacus quis pharetra. Nulla congue rutrum magna a ornare.

Aliquam in turpis accumsan, malesuada nibh ut, hendrerit justo. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Quisque sed erat nec justo posuere suscipit. Donec ut efficitur arcu, in malesuada neque. Nunc dignissim nisl massa, id vulputate nunc pretium nec. Quisque eget urna in risus suscipit ultricies. Pellentesque odio odio, tincidunt in eleifend sed, posuere a diam. Nam gravida nisl convallis semper elementum. Morbi vitae felis faucibus, vulputate orci placerat, aliquet nisi. Aliquam erat volutpat. Maecenas sagittis pulvinar purus, sed porta quam laoreet at.

External Project

Wed, 27 Apr 2016 00:00:00 +0000

An example journal article

Tue, 01 Sep 2015 00:00:00 +0000

Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software.

Create your slides in Markdown - click the Slides button to check out the example.

Supplementary notes can be added here, including code, math, and images.

An example conference paper

Mon, 01 Jul 2013 00:00:00 +0000

Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software.

Create your slides in Markdown - click the Slides button to check out the example.

Supplementary notes can be added here, including code, math, and images.

Mon, 01 Jan 0001 00:00:00 +0000

Hennes Archives

Example Talk

Summary of 2023 StatStart Program

Introduction

Data Analysis Portion

(Part by: Ryan Mac) (Note: The following data set used is provided by the DSLabs library)

Florence Nightingale Data Portion

(Part by: Joshua Hennes) (Credits to Professor Kelly and her team for creating this dataset used within this part of the blog)

Statistical Analysis

Welcome to Wowchemy, the website builder for Hugo

Overview

Get Started

Crowd-funded open-source software

❤️ Click here to become a sponsor and help support Wowchemy’s future ❤️

Ecosystem

Inspiration

Features

Themes

License

Hello R Markdown

R Markdown

Including Plots

Writing technical content in Markdown

Examples

Code

Mindmaps

Charts

Math

Diagrams

Todo lists

Tables

Callouts

Spoilers

Icons

Did you find this page helpful? Consider sharing it 🙌

An example preprint / working paper

Display Jupyter Notebooks with Academic

Install Python and JupyterLab

Create or upload a Jupyter notebook

Edit your post metadata

Convert notebook to Markdown

Example

Slides

Create slides in Markdown with Wowchemy

Features

Controls

Code Highlighting

Math

Fragments

Speaker Notes

Themes

Custom Slide

Custom CSS Example

Questions?

Privacy Policy

Terms

Example Project

External Project

An example journal article

An example conference paper