diff --git a/_freeze/schedule/slides/presentations/execute-results/html.json b/_freeze/schedule/slides/presentations/execute-results/html.json index 568c4f6..d6f88fb 100644 --- a/_freeze/schedule/slides/presentations/execute-results/html.json +++ b/_freeze/schedule/slides/presentations/execute-results/html.json @@ -1,7 +1,7 @@ { - "hash": "f07b5da1ba377e84ce11cc9e1cc38ff1", + "hash": "6cd1212fed22adff9e7e3817c3ad2b52", "result": { - "markdown": "---\nlecture: \"Giving presentations\"\nformat: revealjs\nmetadata-files: \n - _metadata.yml\n---\n---\n---\n\n## {{< meta lecture >}} {.large background-image=\"img/consult.jpeg\" background-opacity=\"0.3\"}\n\n[Stat 550]{.secondary}\n\n[{{< meta author >}}]{.secondary}\n\nLast modified -- 30 January 2024\n\n\n\n$$\n\\DeclareMathOperator*{\\argmin}{argmin}\n\\DeclareMathOperator*{\\argmax}{argmax}\n\\DeclareMathOperator*{\\minimize}{minimize}\n\\DeclareMathOperator*{\\maximize}{maximize}\n\\DeclareMathOperator*{\\find}{find}\n\\DeclareMathOperator{\\st}{subject\\,\\,to}\n\\newcommand{\\E}{E}\n\\newcommand{\\Expect}[1]{\\E\\left[ #1 \\right]}\n\\newcommand{\\Var}[1]{\\mathrm{Var}\\left[ #1 \\right]}\n\\newcommand{\\Cov}[2]{\\mathrm{Cov}\\left[#1,\\ #2\\right]}\n\\newcommand{\\given}{\\mid}\n\\newcommand{\\X}{\\mathbf{X}}\n\\newcommand{\\x}{\\mathbf{x}}\n\\newcommand{\\y}{\\mathbf{y}}\n\\newcommand{\\P}{\\mathcal{P}}\n\\newcommand{\\R}{\\mathbb{R}}\n\\newcommand{\\norm}[1]{\\left\\lVert #1 \\right\\rVert}\n\\newcommand{\\snorm}[1]{\\lVert #1 \\rVert}\n\\newcommand{\\tr}[1]{\\mbox{tr}(#1)}\n\\newcommand{\\U}{\\mathbf{U}}\n\\newcommand{\\D}{\\mathbf{D}}\n\\newcommand{\\V}{\\mathbf{V}}\n$$\n\n\n\n\n\n## Structure\n\n\n1. Strategy (applies to papers too)\n\n1. Dos and don'ts\n\n1. Personal preferences\n\n\n\n# Strategy\n\n\n## Genre\n\nTalks take many forms (like papers)\n\n* Department seminar\n\n* Short conference presentation\n\n* Class lecture\n\n* `...`\n\nCalibrate your talk to the [Genre]{.secondary} and the [Audience]{.tertiary}\n\n. . .\n\n* A job talk takes much more work than a class presentation\n* For context, after much practice, it takes me about 1 hour per minute of presentation length, depending on the amount of polish.\n* My course lectures take about 4x the target duration.\n* General ideas are the same for all styles.\n\n## Audience\n\n* Think about who you are talking to\n - Statisticians?\n - Students?\n - Potential employer?\n - People with PhD's but in other disciplines?\n - Your grandma?\n \n* Regardless of the audience, I think of dividing the talk roughly in 3rds.\n\n\n## (Your audience for your in-class talk) {background-color=\"#86D4FE\"}\n\n* 2/3 of the time, [the client]{.secondary}. \n* You're teaching them this topic.\n* Think \"someone who took 1 or 2 classes in statistics\"\n* 1/3 of the time, [your classmates]{.secondary}. \n* What are the details they need to know that they don't know?\n* Think carefully how to structure for that breakdown.\n\n\n\n---\n\n### 1. \nTalk to your grandma. Why are you listening to me? Why is what I'm saying interesting?\n\n### 2. \nTalk to your audience. What have I done that you should be able to do at the end?\n\n### 3. \nTalk [slightly]{.secondary} over your audience. Why should you be impressed by me?\n\n. . .\n\nPart 3 is shorter depending on the Audience.\n\n\n\n## Content \n\nEach part is a little mini-talk\n\n1. Starts with the general idea\n2. Develops a few details. [Strategy:]{.secondary} problem/solution or question/answer\n3. Ends with a takeaway\n\nBut these parts are [recalibrated]{.fourth-colour} to the audience.\n\n* Your Grandma doesn't want to see math.\n* Your employer might, but doesn't want to hear about $\\sigma$-fields. \n* Statisticians don't want to see proofs (but might want a sketch).\n* `...`\n\n\n## Story structure\n\n::: {.callout-note}\n## What I often see...\nOnce upon a time, a young MSc student went into the woods of theory and found some trees. \n\nFirst they looked at one tree, it was oak. \n\nThen the looked at the next tree, it was maple. \n\nThen they wondered if trees could talk. \n\nAfter three months of wandering, they saw a house...\n:::\n\n. . .\n\n::: {.callout-important}\n## The attention grabber\nAxe-wielding woodsman saves student from wolf attack!\n:::\n\n## Better structure\n\n1. (Enough details to give the headline.)\n1. Headline result.\n1. How do we know the result is real. What are the details of \ncomputation, inference, methodology.\n1. Demonstration with empirics.\n\n## You should consider...\n\n* Attention span diminishes quickly. \n* What are the 3-5 takeaways?\n* Hit your main result at the beginning: this is what I can do that I couldn't before.\n\n## The ideal map\n\nMap out what you've done.\n\n* What did you find?\n* What are the implications? \n* Why does audience care?\n* How do we do it?\n\n. . .\n\nAvoid wandering in the wilderness:\n\n1. First we did this;\n1. But that didn't work, so we tried ...\n1. But then we added ...\n1. Finally we got to the beach ...\n1. And the water was nice ...\n\n\n# Good resource\n\nProf. Trevor Campbell's [\"How to Explain Things\"](https://docs.google.com/presentation/d/13vwchlzQAZjjfiI3AiBC_kM-syI6GJKzbuZoLxgy1a4/edit?usp=sharing)\n\n# Dos and don'ts\n\n## Words\n\n:::: {.columns}\n::: {.column width=\"45%\"}\nToo many words on a slide is bad\n\n* Bullet points\n* Too densely concentrated are bad\n* Are bad\n* Are hard to focus on\n\n

\n\nEmpty space is your friend\n:::\n\n\n::: {.column width=\"55%\"}\n\n\nLorem markdownum et moras et ponendi odores, neu magna per! Tyria meo iungitur\nvidet, frigore terras rogis Anienis poteram, dant. His vallem arma corpore\nvident nunc nivibus [avus](http://mirantes.org/), dea. Spatium luce certa\ncupiunt, lina. [Amabam](http://www.sub.com/satisego) opem, Iovis fecundaque et\nparum.\n\nAede virum annis audit modo: meus ramis videri: nec quod insidiisque Aonio\ntenuem, AI. Trames Iason: nocent hortatus lacteus praebita\n[paternos](http://ex.net/milledubitavit) petit, Paridis **aptus prius ut** origo\nfuriisque. Mercibus sis nullo aliudve Amathunta sufficit ululatibus,\npraevalidusque segnis *et* Dryopen. \n:::\n::::\n\n## Images\n\n:::: {.columns}\n::: {.column width=\"40%\"}\nPictures are good\n\n
\n\nFlow charts are good.\n\n
\n\n[Careful]{.fourth-colour} use of [colour]{.secondary} is [good]{.tertiary}.\n\n
\n\n### Size is good.\n\n
\n\n_too much variation is distracting_\n:::\n\n::: {.column width=\"60%\"}\n\n![](https://cdn.stocksnap.io/img-thumbs/960w/cat-kitten_LH77KFTY76.jpg)\n:::\n::::\n\n. . .\n\nHow long did you stare at the cat?\n\n\n# Personal preferences\n\n## Graphics\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](presentations_files/figure-revealjs/colours1-1.png){fig-align='center'}\n:::\n:::\n\n\n. . .\n\n::: {.callout-important}\nDefaults are almost always terrible.\n:::\n\n\n## Issues with the preceding\n\n* Colours are awful\n* Grey background is distracting\n* Text size is too small\n* Legend position on the side is strange?\n* Numbers on the y-axis are nonesense\n* With barchart, y-axis should start at 0.\n* `.png` vs `.svg`\n\n## Graphics\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](presentations_files/figure-revealjs/colours2-1.png){fig-align='center'}\n:::\n:::\n\n\n## Again\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](presentations_files/figure-revealjs/colours3-1.png){fig-align='center'}\n:::\n:::\n\n\n::: {.callout-tip}\nI like this, but ~10% of men are colour blind (including some faculty in this department). \n:::\n\n## Simulation\n\n![](gfx/colour-blind.png)\n\n## Jargon\n\n* Be wary of acronyms (MLE, BLUP, RKHS)\n* Again, think of your audience. MLE is fine for any statistician.\n* Others need definitions in words and written on the slide\n* Same for math notation $\\bar{X},\\ \\mu,\\ \\sigma,\\ \\mathbf{UDV}^\\top$\n* And for applied work e.g. SNP\n* [B]{.secondary}est [L]{.secondary}inear [U]{.secondary}nbiased [P]{.secondary}redictor\n\n---\n\n## {background-image=\"gfx/jargon.png\"}\n\n## Things I hate\n\n``{=html} Saying \"I'm not going to talk about ...\" ``{=html} \"I'm happy to discuss ... later if you'd like\".\n\n``{=html} Wiggling your laser pointer at every word. Highlight important things with pretty colours. Use pointer sparingly.\n\n``{=html} Playing with your collar, your pockets, your water bottle...\n\n``{=html} Staring at your slides ...\n\n``{=html} Displaying the total number of slides as in 6/85 in the lower right hand corner ...\n\n``{=html} Running over time. Skipping 6 slides to desperately make the time limit.\n\n``{=html} Using the default themes:\n\n## {background-image=\"gfx/beamer-crud.png\"}\n\n## Never use tables of numbers\n\n* Economists do this all the time for inexplicable reasons\n* I rarely put these in papers either\n* If I'm not going to talk about it, it doesn't go on the slide\n* There's no way I'm going to read off the number, certainly not to 4 decimal places\n* Use a graph\n\n## Use graphs, but\n\n* A graph with 3 dots should be a table of 3 numbers.\n* But why do you have only 3 numbers?\n* Any table can be a better graph.\n\n::: {.callout-tip}\n## Ask yourself:\nIs this the best way to display the data? Have I summarized too much? \n:::\n\n## Example: Made up simulation results\n\nRan 50 simulations.\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](presentations_files/figure-revealjs/unnamed-chunk-1-1.svg){fig-align='center'}\n:::\n:::\n\n\n## Example: Made up simulation results\n\nRan 50 simulations.\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](presentations_files/figure-revealjs/unnamed-chunk-2-1.svg){fig-align='center'}\n:::\n:::\n\n\n\n## Things you should do\n\n``{=html} Number your slides\n\n``{=html} Have lots of prepared backup slides (details, answers to potential questions, further analysis)\n\n``{=html} Practice a lot. Practice in front of others. Practice the beginning more than the rest.\n\n``{=html} BE EXCITED. You worked hard on this. All results are cool. Play them up. You did something good and you want to tell everyone about how awesome you are. Own it. \n\n``{=html} Take credit. Say \"I showed this\" not \"It can be shown\".\n\n\n## Things that are debatable\n\n* Math talks tend to be \"chalkboard\"\n* CS talks tend to be \"sales pitch\"\n* Stats is in the middle.\n* I lean toward details with elements of salesmanship\n* If I hear your talk, I want to be able to \"do\" what you created. This is hard without some math. \n* This also colours my decisions about software.\n\n. . .\n\n::: {.callout-note}\nJeff Bezos banned Powerpoint from Amazon presentations\n:::\n\n## Closing suggestions\n\n### 1. Slow down\n\n* Get a bottle of water before the talk. \n* Drink it to pause on (pre-planned) key slides.\n* This will help you relax. \n* It will also give the audience a few seconds to get the hard stuff into their head.\n\n### 2. Cut back\n\n* Most of your slides probably have too many words.\n* And too much \"filler\" --> Kill the filler\n\n## Closing suggestions\n\n### 3. Try to move\n\n* It's good to move physically, engage the audience\n* Try to make eye contact with the whole room\n* Record yourself once to see if you do anything extraneous\n\n### 4. Have fun.\n\n\n## Example talks:\n\n1. [Teaching PCA](pca-intro.qmd)\n2. [Short research talk about Latent Infections](https://cmu-delphi.github.io/cdcflu-latent-infections/)\n", + "markdown": "---\nlecture: \"Giving presentations\"\nformat: revealjs\nmetadata-files: \n - _metadata.yml\n---\n## {{< meta lecture >}} {background-image=\"img/consult.jpeg\" background-opacity=\"0.3\"}\n\n[Stat 550]{.secondary}\n\n[{{< meta author >}}]{.secondary}\n\nLast modified -- 31 January 2024\n\n\n\n$$\n\\DeclareMathOperator*{\\argmin}{argmin}\n\\DeclareMathOperator*{\\argmax}{argmax}\n\\DeclareMathOperator*{\\minimize}{minimize}\n\\DeclareMathOperator*{\\maximize}{maximize}\n\\DeclareMathOperator*{\\find}{find}\n\\DeclareMathOperator{\\st}{subject\\,\\,to}\n\\newcommand{\\E}{E}\n\\newcommand{\\Expect}[1]{\\E\\left[ #1 \\right]}\n\\newcommand{\\Var}[1]{\\mathrm{Var}\\left[ #1 \\right]}\n\\newcommand{\\Cov}[2]{\\mathrm{Cov}\\left[#1,\\ #2\\right]}\n\\newcommand{\\given}{\\mid}\n\\newcommand{\\X}{\\mathbf{X}}\n\\newcommand{\\x}{\\mathbf{x}}\n\\newcommand{\\y}{\\mathbf{y}}\n\\newcommand{\\P}{\\mathcal{P}}\n\\newcommand{\\R}{\\mathbb{R}}\n\\newcommand{\\norm}[1]{\\left\\lVert #1 \\right\\rVert}\n\\newcommand{\\snorm}[1]{\\lVert #1 \\rVert}\n\\newcommand{\\tr}[1]{\\mbox{tr}(#1)}\n\\newcommand{\\U}{\\mathbf{U}}\n\\newcommand{\\D}{\\mathbf{D}}\n\\newcommand{\\V}{\\mathbf{V}}\n$$\n\n\n\n\n\n## Structure\n\n\n1. Strategy (applies to papers too)\n\n1. Dos and don'ts\n\n1. Personal preferences\n\n\n\n# Strategy\n\n\n## Genre\n\nTalks take many forms (like papers)\n\n* Department seminar\n\n* Short conference presentation\n\n* Class lecture\n\n* `...`\n\nCalibrate your talk to the [Genre]{.secondary} and the [Audience]{.tertiary}\n\n. . .\n\n* A job talk takes much more work than a class presentation\n* For context, after much practice, it takes me about 1 hour per minute of presentation length, depending on the amount of polish.\n* My course lectures take about 4x the target duration.\n* General ideas are the same for all styles.\n\n## Audience\n\n* Think about who you are talking to\n - Statisticians?\n - Students?\n - Potential employer?\n - People with PhD's but in other disciplines?\n - Your grandma?\n \n* Regardless of the audience, I think of dividing the talk roughly in 3rds.\n\n\n## (Your audience for your in-class talk) {background-color=\"#86D4FE\"}\n\n* 2/3 of the time, [the client]{.secondary}. \n* You're teaching them this topic.\n* Think \"someone who took 1 or 2 classes in statistics\"\n* 1/3 of the time, [your classmates]{.secondary}. \n* What are the details they need to know that they don't know?\n* Think carefully how to structure for that breakdown.\n\n\n\n---\n\n### 1. \nTalk to your grandma. Why are you listening to me? Why is what I'm saying interesting?\n\n### 2. \nTalk to your audience. What have I done that you should be able to do at the end?\n\n### 3. \nTalk [slightly]{.secondary} over your audience. Why should you be impressed by me?\n\n. . .\n\nPart 3 is shorter depending on the Audience.\n\n\n\n## Content \n\nEach part is a little mini-talk\n\n1. Starts with the general idea\n2. Develops a few details. [Strategy:]{.secondary} problem/solution or question/answer\n3. Ends with a takeaway\n\nBut these parts are [recalibrated]{.fourth-colour} to the audience.\n\n* Your Grandma doesn't want to see math.\n* Your employer might, but doesn't want to hear about $\\sigma$-fields. \n* Statisticians don't want to see proofs (but might want a sketch).\n* `...`\n\n\n## Story structure\n\n::: {.callout-note}\n## What I often see...\nOnce upon a time, a young MSc student went into the woods of theory and found some trees. \n\nFirst they looked at one tree, it was oak. \n\nThen the looked at the next tree, it was maple. \n\nThen they wondered if trees could talk. \n\nAfter three months of wandering, they saw a house...\n:::\n\n. . .\n\n::: {.callout-important}\n## The attention grabber\nAxe-wielding woodsman saves student from wolf attack!\n:::\n\n## Better structure\n\n1. (Enough details to give the headline.)\n1. Headline result.\n1. How do we know the result is real. What are the details of \ncomputation, inference, methodology.\n1. Demonstration with empirics.\n\n## You should consider...\n\n* Attention span diminishes quickly. \n* What are the 3-5 takeaways?\n* Hit your main result at the beginning: this is what I can do that I couldn't before.\n\n## The ideal map\n\nMap out what you've done.\n\n* What did you find?\n* What are the implications? \n* Why does audience care?\n* How do we do it?\n\n. . .\n\nAvoid wandering in the wilderness:\n\n1. First we did this;\n1. But that didn't work, so we tried ...\n1. But then we added ...\n1. Finally we got to the beach ...\n1. And the water was nice ...\n\n\n# Good resource\n\nProf. Trevor Campbell's [\"How to Explain Things\"](https://docs.google.com/presentation/d/13vwchlzQAZjjfiI3AiBC_kM-syI6GJKzbuZoLxgy1a4/edit?usp=sharing)\n\n# Dos and don'ts\n\n## Words\n\n:::: {.columns}\n::: {.column width=\"45%\"}\nToo many words on a slide is bad\n\n* Bullet points\n* Too densely concentrated are bad\n* Are bad\n* Are hard to focus on\n\n

\n\nEmpty space is your friend\n:::\n\n\n::: {.column width=\"55%\"}\n\n\nLorem markdownum et moras et ponendi odores, neu magna per! Tyria meo iungitur\nvidet, frigore terras rogis Anienis poteram, dant. His vallem arma corpore\nvident nunc nivibus [avus](http://mirantes.org/), dea. Spatium luce certa\ncupiunt, lina. [Amabam](http://www.sub.com/satisego) opem, Iovis fecundaque et\nparum.\n\nAede virum annis audit modo: meus ramis videri: nec quod insidiisque Aonio\ntenuem, AI. Trames Iason: nocent hortatus lacteus praebita\n[paternos](http://ex.net/milledubitavit) petit, Paridis **aptus prius ut** origo\nfuriisque. Mercibus sis nullo aliudve Amathunta sufficit ululatibus,\npraevalidusque segnis *et* Dryopen. \n:::\n::::\n\n## Images\n\n:::: {.columns}\n::: {.column width=\"40%\"}\nPictures are good\n\n
\n\nFlow charts are good.\n\n
\n\n[Careful]{.fourth-colour} use of [colour]{.secondary} is [good]{.tertiary}.\n\n
\n\n### Size is good.\n\n
\n\n_too much variation is distracting_\n:::\n\n::: {.column width=\"60%\"}\n\n![](https://cdn.stocksnap.io/img-thumbs/960w/cat-kitten_LH77KFTY76.jpg)\n:::\n::::\n\n. . .\n\nHow long did you stare at the cat?\n\n\n# Personal preferences\n\n## Graphics\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](presentations_files/figure-revealjs/colours1-1.png){fig-align='center'}\n:::\n:::\n\n\n. . .\n\n::: {.callout-important}\nDefaults are almost always terrible.\n:::\n\n\n## Issues with the preceding\n\n* Colours are awful\n* Grey background is distracting\n* Text size is too small\n* Legend position on the side is strange?\n* Numbers on the y-axis are nonesense\n* With barchart, y-axis should start at 0.\n* `.png` vs `.svg`\n\n## Graphics\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](presentations_files/figure-revealjs/colours2-1.png){fig-align='center'}\n:::\n:::\n\n\n## Again\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](presentations_files/figure-revealjs/colours3-1.png){fig-align='center'}\n:::\n:::\n\n\n::: {.callout-tip}\nI like this, but ~10% of men are colour blind (including some faculty in this department). \n:::\n\n## Simulation\n\n![](gfx/colour-blind.png)\n\n## Jargon\n\n* Be wary of acronyms (MLE, BLUP, RKHS)\n* Again, think of your audience. MLE is fine for any statistician.\n* Others need definitions in words and written on the slide\n* Same for math notation $\\bar{X},\\ \\mu,\\ \\sigma,\\ \\mathbf{UDV}^\\top$\n* And for applied work e.g. SNP\n* [B]{.secondary}est [L]{.secondary}inear [U]{.secondary}nbiased [P]{.secondary}redictor\n\n---\n\n## {background-image=\"gfx/jargon.png\"}\n\n## Things I hate\n\n``{=html} Saying \"I'm not going to talk about ...\" ``{=html} \"I'm happy to discuss ... later if you'd like\".\n\n``{=html} Wiggling your laser pointer at every word. Highlight important things with pretty colours. Use pointer sparingly.\n\n``{=html} Playing with your collar, your pockets, your water bottle...\n\n``{=html} Staring at your slides ...\n\n``{=html} Displaying the total number of slides as in 6/85 in the lower right hand corner ...\n\n``{=html} Running over time. Skipping 6 slides to desperately make the time limit.\n\n``{=html} Using the default themes:\n\n## {background-image=\"gfx/beamer-crud.png\"}\n\n## Never use tables of numbers\n\n* Economists do this all the time for inexplicable reasons\n* I rarely put these in papers either\n* If I'm not going to talk about it, it doesn't go on the slide\n* There's no way I'm going to read off the number, certainly not to 4 decimal places\n* Use a graph\n\n## Use graphs, but\n\n* A graph with 3 dots should be a table of 3 numbers.\n* But why do you have only 3 numbers?\n* Any table can be a better graph.\n\n::: {.callout-tip}\n## Ask yourself:\nIs this the best way to display the data? Have I summarized too much? \n:::\n\n## Example: Made up simulation results\n\nRan 50 simulations.\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](presentations_files/figure-revealjs/unnamed-chunk-1-1.svg){fig-align='center'}\n:::\n:::\n\n\n## Example: Made up simulation results\n\nRan 50 simulations.\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](presentations_files/figure-revealjs/unnamed-chunk-2-1.svg){fig-align='center'}\n:::\n:::\n\n\n## Example: Made up simulation results\n\nRan 50 simulations.\n\n\n::: {.cell layout-align=\"center\"}\n::: {.cell-output-display}\n![](presentations_files/figure-revealjs/unnamed-chunk-3-1.svg){fig-align='center'}\n:::\n:::\n\n\n\n## Things you should do\n\n``{=html} Number your slides\n\n``{=html} Have lots of prepared backup slides (details, answers to potential questions, further analysis)\n\n``{=html} Practice a lot. Practice in front of others. Practice the beginning more than the rest.\n\n``{=html} BE EXCITED. You worked hard on this. All results are cool. Play them up. You did something good and you want to tell everyone about how awesome you are. Own it. \n\n``{=html} Take credit. Say \"I showed this\" not \"It can be shown\".\n\n\n## Things that are debatable\n\n* Math talks tend to be \"chalkboard\"\n* CS talks tend to be \"sales pitch\"\n* Stats is in the middle.\n* I lean toward details with elements of salesmanship\n* If I hear your talk, I want to be able to \"do\" what you created. This is hard without some math. \n* This also colours my decisions about software.\n\n. . .\n\n::: {.callout-note}\nJeff Bezos banned Powerpoint from Amazon presentations\n:::\n\n## Closing suggestions\n\n### 1. Slow down\n\n* Get a bottle of water before the talk. \n* Drink it to pause on (pre-planned) key slides.\n* This will help you relax. \n* It will also give the audience a few seconds to get the hard stuff into their head.\n\n### 2. Cut back\n\n* Most of your slides probably have too many words.\n* And too much \"filler\" --> Kill the filler\n\n## Closing suggestions\n\n### 3. Try to move\n\n* It's good to move physically, engage the audience\n* Try to make eye contact with the whole room\n* Record yourself once to see if you do anything extraneous\n\n### 4. Have fun.\n\n\n## Example talks:\n\n1. [Teaching PCA](pca-intro.qmd)\n2. 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Hand",cursive;color:var(--primary);font-size:125%}/*# sourceMappingURL=f95d2bded9c28492b788fe14c3e9f347.css.map */ diff --git a/schedule/index.qmd b/schedule/index.qmd index d6c5b2d..98d374d 100644 --- a/schedule/index.qmd +++ b/schedule/index.qmd @@ -28,14 +28,14 @@ knitr::kable(tib) ## Lecture slides -* [Bootstrap](slides/bootstrap.qmd) -* [Cluster computing](slides/cluster-computing.qmd) +* [Giving presentations](slides/presentations.qmd) * [Git and GitHub](slides/git.qmd) -* [Skills for graduate students](slides/grad-school.qmd) * [Tips for organization](slides/organization.qmd) -* [Giving presentations](slides/presentations.qmd) -* [Time series](slides/time-series.qmd) * [Unit tests](slides/unit-tests.qmd) +* [Bootstrap](slides/bootstrap.qmd) +* [Time series](slides/time-series.qmd) +* [Cluster computing](slides/cluster-computing.qmd) +* [Skills for graduate students](slides/grad-school.qmd) ## Handouts diff --git a/schedule/slides/presentations.qmd b/schedule/slides/presentations.qmd index 3adcbd9..0c07403 100644 --- a/schedule/slides/presentations.qmd +++ b/schedule/slides/presentations.qmd @@ -360,9 +360,10 @@ g <- ggplot(tib, aes(method, mean, colour = method)) + geom_point() + scale_colour_viridis_d(option = "F", begin = .2, end = .8) + scale_y_continuous(labels = scales::percent, expand = expansion(0)) + - coord_cartesian(ylim = c(0, .3)) + + coord_cartesian(ylim = c(0, .4)) + ylab("Error") + - xlab("Method") + theme(legend.position = "none") + + xlab("") g ``` @@ -375,6 +376,26 @@ Ran 50 simulations. g + geom_linerange(aes(ymax = mean + sd, ymin = pmax(mean - sd, 0))) ``` +## Example: Made up simulation results + +Ran 50 simulations. + +```{r} +#| echo: false +tib <- tib |> + rowwise() |> + mutate(samples = list(rnorm(50, mean, sd))) |> + unnest(samples) +ggplot(tib, aes(method, samples, fill = method)) + + geom_boxplot(alpha = .66, notch = TRUE) + + scale_fill_viridis_d(option = "F", begin = .2, end = .8) + + scale_y_continuous(labels = scales::percent, expand = expansion(0)) + + coord_cartesian(ylim = c(0, .4)) + + ylab("Error") + + theme(legend.position = "none") + + xlab("") +``` + ## Things you should do diff --git a/schedule/slides/themer.scss b/schedule/slides/themer.scss index ce5858d..3e0217b 100644 --- a/schedule/slides/themer.scss +++ b/schedule/slides/themer.scss @@ -99,11 +99,6 @@ dt { font-size: 0.9em; } -.slide-title { - font-size: 2em; - color: $primary; -} - .center-align { text-align: center;