Martin Krzywinski / Genome Sciences Center / mkweb.bcgsc.ca Martin Krzywinski / Genome Sciences Center / mkweb.bcgsc.ca - contact me Martin Krzywinski / Genome Sciences Center / mkweb.bcgsc.ca on Twitter Martin Krzywinski / Genome Sciences Center / mkweb.bcgsc.ca - Lumondo Photography Martin Krzywinski / Genome Sciences Center / mkweb.bcgsc.ca - Pi Art Martin Krzywinski / Genome Sciences Center / mkweb.bcgsc.ca - Hilbertonians - Creatures on the Hilbert Curve
Tango is a sad thought that is danced.Enrique Santos Discépolothink & dancemore quotes

hitchens: exciting


EMBO Practical Course: Bioinformatics and Genome Analysis, 5–17 June 2017.


visualization + design

Christopher Hitchens—Out of Letters

ASCII Art

The images shown here were created as part of my ASCII Art project, which extends ASCII art to include

  • proportionally spaced fonts
  • a variety of font weights in a single image
  • both tone and structure of the image to select characters
  • fixed strings to render an image in legible text

Applying the code to images of Hitchens was motivated by my own deep love of Hitchens and a typographic portrait of Christopher Hitchens, created out of Gill Sans letters by Miles Chic at Capilano University.

This adds to my growing shrines to Hitchens, including Merry Hitchmas! and hitchslap t-shirts.

Christopher Hitchens in Letters and Words

All images are generated using Gotham, with up to 8 weights (Extra Light to Ultra). Each image includes size and characters used for the image. I give the absolute type size, though only useful to know in relative terms to the size of the image and other images drawn with the same method. The color of text in each layer is the same—black— but font weight may vary.

Some images are generated using more than one layer of ASCII. In some cases the characters used in each layer are different.

basic ascii

As the font size is reduced, greater detail and contrast can be achieved.

Christopher Hitchens - ASCII Art / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Christopher Hitchens ASCII Art. method: Gotham font, 8 weights, 43pt set: . x 8 : * @ - \ | _space_ / (source from Christian Witkin/Twelve/Grand Central Publishing) (zoom, source)
Christopher Hitchens - ASCII Art / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Christopher Hitchens ASCII Art. method: Gotham font, 8 weights, 29pt set: . x 8 : * @ - \ | _space_ / (source from Christian Witkin/Twelve/Grand Central Publishing) (zoom, source)
Christopher Hitchens - ASCII Art / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Christopher Hitchens ASCII Art. method: Gotham font, 8 weights, 17pt set: . x 8 : * @ - \ | _space_ / (source from Christian Witkin/Twelve/Grand Central Publishing) (zoom, source)
Christopher Hitchens - ASCII Art / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Christopher Hitchens ASCII Art. method: Gotham font, 8 weights, 11pt set: . x 8 : * @ - \ | _space_ / (source from Christian Witkin/Twelve/Grand Central Publishing) (zoom, source)

By setting the image with a fixed string, such as a short quote or longer body of text, detail is lost but the ASCII representation takes on more meaning.

Christopher Hitchens - ASCII Art / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Christopher Hitchens ASCII Art. method: Gotham font, 8 weights, 11pt set: godisnotgreat (source from Christian Witkin/Twelve/Grand Central Publishing) (zoom, source)
Christopher Hitchens - ASCII Art / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Christopher Hitchens ASCII Art. method: Gotham font, 8 weights, 29pt set: godisnotgreat (source from Christian Witkin/Twelve/Grand Central Publishing) (zoom, source)
Christopher Hitchens - ASCII Art / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Christopher Hitchens ASCII Art. method: Gotham font, 8 weights, 11pt set: Hitchslap 11 (source from Christian Witkin/Twelve/Grand Central Publishing) (zoom, source)
Christopher Hitchens - ASCII Art / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Christopher Hitchens ASCII Art. method: Gotham font, 8 weights, 5 layers (11pt -6deg, 17pt 6deg, 29pt -3deg, 43pt 3deg, 59pt 0deg) set: godisnotgreat (source from Christian Witkin/Twelve/Grand Central Publishing) (zoom, source)
Christopher Hitchens - ASCII Art / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Christopher Hitchens ASCII Art. method: Gotham font, 8 weights, 7pt set: . x 8 : * @ - \ | _space_ / (source from Gasper Tringale) (zoom, source)

multi-layered ascii art

Images take on detail when multiple rotated layers of text is used. Each of the images below is composed of more than one layer, starting with a 2-layer image which uses the uppercase alphabet at 0 and 90 degrees.

Christopher Hitchens - ASCII Art / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Christopher Hitchens ASCII Art. method: Gotham font, 8 weights, 2 layers (0deg, 90deg) set: A-Z (source from HBO) (zoom, source)

Meaning can be added to the image by using different text in each layer. In the examples below, I set the same image using the pair "Godisnotgreat" (at 0 degrees) and "religionpoisonseverything" (at 90 degrees). In the second example, I use the unlikely combination of "Jesus" and "Mohammad"—inspired by Jesus and Mo.

Christopher Hitchens - ASCII Art / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Christopher Hitchens ASCII Art. method: Gotham font, 8 weights, 2 layers set: Godisnotgreat. 0deg Relionpoisonseverything. 90deg (source from HBO) (zoom, source)
Christopher Hitchens - ASCII Art / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Christopher Hitchens ASCII Art. method: Gotham font, 8 weights, 2 layers set: Jesus 0deg Mohammad 90deg (source from HBO) (zoom, source)

When rotated layers contain punctuation, very high level of detail can be achieved.

Christopher Hitchens - ASCII Art / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Christopher Hitchens ASCII Art. method: Gotham font, 8 weights, 2 layers set: . : - + * _space_ 0deg / 90deg (zoom, source)

The image below is made out of layers that contain only forward (/) and back (\) slashes.

Christopher Hitchens - ASCII Art / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Christopher Hitchens ASCII Art. method: Gotham font, 8 weights, 2 layers set: \ / (zoom, source)

The image below is made using only the period character in three layers rotated at -45, 0 and 45 degrees. Although the image looks like a pixelated version of the original—it is more than that. It is a typeset representation that uses 8 weights of Gotham. Character spacing between periods is informed by font metrics.

Christopher Hitchens - ASCII Art / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Christopher Hitchens ASCII Art. method: Gotham font, 8 weights, 2 layers set: . (zoom, source)
Christopher Hitchens - ASCII Art / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Christopher Hitchens ASCII Art. method: Gotham font, 8 weights, 2 layers set: 8 X x | ^ : . - = + ' " @ \ / | * ~ , # (source from The Australian) (zoom, source)

hitchens at the podium

The three images below show the difference between using a variety of punctuation characters and setting an image using a block of text. The first image uses "8 X x" and common punctuation.

Christopher Hitchens - ASCII Art / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Christopher Hitchens ASCII Art. method: Gotham font, 8 weights, 11pt set: 8 X x | ^ : . - = + ' " @ \ / | * ~ , # (zoom, source)

I use hitchslap 9 for the first image below, and all the hitchslaps for the second image. When setting an image in using a block of text, the choice of character at any position is fixed and only the font weight is allowed to vary. When the text is relatively short (e.g. hitchslap 9 is 544 characters and is repeated 50 times in the image), rivers of space appear in the image.

Christopher Hitchens - ASCII Art / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Christopher Hitchens ASCII Art. method: Gotham font, 8 weights, 11pt set: Hitchslap 9 (zoom, source)
Christopher Hitchens - ASCII Art / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Christopher Hitchens ASCII Art. method: Gotham font, 8 weights, 11pt set: all Hitchslaps (zoom, source)

In both cases, the image is very recognizable.

recursive ascii art

When an image of text is set with the text itself, you have recursive ASCII art. Below is hitchslap 2, set with itself. In the image, the font is Gotham and the text used to asciify the image is also Gotham.

It makes ordinary moral people, compels them, forces them, in some cases orders them do disgusting wicked unforgivable things. There's no expiation for the generations of misery and suffering that religion has inflicted in this way and continues to inflict. And I still haven't heard enough apology for it. — Christopher Hitchens

The quote is 307 characters long and is repeated 391 times in the image.

Christopher Hitchens - ASCII Art / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Christopher Hitchens ASCII Art. method: Gotham font, 8 weights, 11pt set: Hitchslap 2 (source from hitchslap 2) (zoom, source)

In principle, the process of asciifying text with text can be repeated, by using the asciified image as input for asciification with progressively smaller text.

VIEW ALL

news + thoughts

Machine learning: a primer

Tue 05-12-2017
Machine learning extracts patterns from data without explicit instructions.

In this primer, we focus on essential ML principles— a modeling strategy to let the data speak for themselves, to the extent possible.

The benefits of ML arise from its use of a large number of tuning parameters or weights, which control the algorithm’s complexity and are estimated from the data using numerical optimization. Often ML algorithms are motivated by heuristics such as models of interacting neurons or natural evolution—even if the underlying mechanism of the biological system being studied is substantially different. The utility of ML algorithms is typically assessed empirically by how well extracted patterns generalize to new observations.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Nature Methods Points of Significance column: Machine learning: a primer. (read)

We present a data scenario in which we fit to a model with 5 predictors using polynomials and show what to expect from ML when noise and sample size vary. We also demonstrate the consequences of excluding an important predictor or including a spurious one.

Bzdok, D., Krzywinski, M. & Altman, N. (2017) Points of Significance: Machine learning: a primer. Nature Methods 14:1119–1120.",

...more about the Points of Significance column

Snowflake simulation

Tue 14-11-2017
Symmetric, beautiful and unique.

Just in time for the season, I've simulated a snow-pile of snowflakes based on the Gravner-Griffeath model.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
A few of the beautiful snowflakes generated by the Gravner-Griffeath model. (explore)

Gravner, J. & Griffeath, D. (2007) Modeling Snow Crystal Growth II: A mesoscopic lattice map with plausible dynamics.

Genes that make us sick

Thu 02-11-2017
Where disease hides in the genome.

My illustration of the location of genes in the human genome that are implicated in disease appears in The Objects that Power the Global Economy, a book by Quartz.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
The location of genes implicated in disease in the human genome, shown here as a spiral. (more...)

Ensemble methods: Bagging and random forests

Mon 16-10-2017
Many heads are better than one.

We introduce two common ensemble methods: bagging and random forests. Both of these methods repeat a statistical analysis on a bootstrap sample to improve the accuracy of the predictor. Our column shows these methods as applied to Classification and Regression Trees.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Nature Methods Points of Significance column: Ensemble methods: Bagging and random forests. (read)

For example, we can sample the space of values more finely when using bagging with regression trees because each sample has potentially different boundaries at which the tree splits.

Random forests generate a large number of trees by not only generating bootstrap samples but also randomly choosing which predictor variables are considered at each split in the tree.

Krzywinski, M. & Altman, N. (2017) Points of Significance: Ensemble methods: bagging and random forests. Nature Methods 14:933–934.

Background reading

Krzywinski, M. & Altman, N. (2017) Points of Significance: Classification and regression trees. Nature Methods 14:757–758.

...more about the Points of Significance column