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Victoria population projection by household type from 2021 to 2036

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Victoria population projection by household type from 2021 to 2036

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The chart was published in September 2023 as part of the "Victoria in the Future 2023 Report"

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Joel Selwood AFL free kicks through career highlighted against every other player freek kicks from 1990 to present

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Joel Selwood AFL free kicks through career highlighted against every other player freek kicks from 1990 to present

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Data Visualisation highlighted in colour that Joel Selwood has had signicantly more free kicks on average throughout career than modern day football players.

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34,065 Meteorite Impacts Across the World and their Size

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34,065 Meteorite Impacts Across the World and their Size

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This project evolved from a dataset I used at a Nicholas Felton coding course. My interest in this dataset came from a recent article I read in which Stephen Hawking said:

"One of the major threats to intelligent life in our universe is a high probability of an asteroid colliding with inhabited planets."

This sentence completely out of context can be frightening. However, I found it quite interesting to keep digging into the dataset.

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This project evolved from a dataset I used at a Nicholas Felton coding course. My interest in this dataset came from a recent article I read in which Stephen Hawking said: "One of the major threats to intelligent life in our universe is a high probability of an asteroid colliding with inhabited planets."

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Visualising the location of the world's population

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Percentage of Billboard Hot 100 No. 1 Hits That Are Covers or Contain Samples or Interpolations

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Percentage of Billboard Hot 100 No. 1 Hits That Are Covers or Contain Samples or Interpolations

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Forms of musical quotations such as sampling and interpolation have become more popular in recent years, while cover songs have taken a backseat in popularity. Visualisation sourced from: https://chrisdallariva.substack.com/p/an-answer-to-your-question-about.

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Probability of Scoring in the Top 5 European Football Leagues by Chance Location

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Probability of Scoring in the Top 5 European Football Leagues by Chance Location

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Visualisation using ggplot in R to show the probability of scoring a goal in any of the top 5 European Football Leagues depending on the location of the shooting chance. As the shooting chance gets closer to the goal, the probability of scoring increases. However, there are many outliers where a long shot on goal may have a 100% chance as it was the only shot taken at this location. Although the shooting chance has a lower probability of scoring if it is further from the goal, many chances were taken by exceptional players over the dataset.

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Probability of scoring in Football by chance location (top 5 euro leagues)

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Allotment gardens in Germany coloured up by East and West, with Berlin highlighted

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Allotment gardens in Germany coloured up by East and West, with Berlin highlighted

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This is a simple plot with an instantly understandable message. If the viewer wants to 'dive in' for more info they can read the location labels on the points, but these are also easy to ignore, they don't overwhelm the key information.

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Allotment gardening has a firm place in the green and open space system of German cities and fulfills social, ecological, and urban planning functions. In large and growing cities, there is an increased demand for allotment gardens, which often exceeds the availability there. In our gallery post, we take a look at the allotment garden density and population density in major German cities.

On the one hand, municipal administrations and allotment garden organizations are increasingly working successfully on integrating allotments more and better into the green and open space network of cities. On the other hand, the pressure on allotment garden areas in the big cities is increasing.

Source: bbsr.bund.de

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Allotment Gardens in Germany (Bubble Chart example)

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Allotment gardening has a firm place in the green and open space system of German cities and fulfills social, ecological, and urban planning functions. In large and growing cities, there is an increased demand for allotment gardens, which often exceeds the availability there.

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A Tableau visualisation of all of Jimi Hendrix's live performances including songs played and concert locations (https://tabsoft.co/3cNYEUm)

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A useful interactive dashboard for visualization of a country's global trade.

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What does export? (2019) | OEC - The Observatory of Economic Complexity

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The world's leading data visualization tool for international trade data.

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# of Unique Words Used Within Artist’s First 35,000 Lyrics

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# of Unique Words Used Within Artist’s First 35,000 Lyrics

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Compares number of unique words used by hip hop artists, found this to be easy to read & interactive!

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The Largest Vocabulary In Hip Hop

Rappers, ranked by the number of unique words used in their lyrics

This project was originally published in 2014 and recently updated in January 2019 with newer lyrics data and 75 additional artists, including Lil Uzi Vert, Lil Yachty, Migos, and 21 Savage.

It compares the number of unique words used by some of the most famous artists in hip hop (that is, an example of a quantitive view of lyricism, once proposed by Tahir Hemphill). I used each artist's first 35,000 lyrics. This way, prolific artists, such as Jay-Z, can be compared to newer artists, such as Drake.

# of Unique Words Used Within Artist's First 35,000 Lyrics

Notes/sources:

All lyrics are via Genius.

35,000 words covers 3 to 5 studio albums and EPs. I included mixtapes if the artist was short of the 35,000 words. Quite a few rappers don't have enough official material to be included (for example, Biggie, Chance the Rapper, Queen Latifah, and El-P).

Since the original release, there's now a notable trend of fewer unique words among newer artists. This is easier to see in the following chart, where I highlighted each artist's primary decade, based on album release dates for their vocabulary calculation (the first 35,000 lyrics).

# of Unique Words Used Within Artist's First 35,000 lyrics

Notes/sources:

(1) Since this analysis uses an artist's first 35,000 lyrics (prioritizing studio albums), an artist's era is determined by the years the albums were released. Some artists may be identified with a certain era (for example, Jay-Z with the 1990s, with Reasonable Doubt in 1996, In My Lifetime, Vol. 1 in 1997, etc.) yet continue to release music in the present day.

All lyrics are via Genius.

Some of the newer artists wield a smaller vocabulary comparatively, but this is not because hip hop has "dumbed down." The genre has evolved; it has moved away from complex lyricism toward elements traditionally associated with pop music: repetitive song structure and singing (Joe Carmanica recently wrote about this trend for the New York Times, arguing that it was led by Drake, who popularized the rapping-and-singing formula over the past decade).

A better benchmark for Lil Uzi Vert's word count (2,556) might be those of pop artists, such as Beyonce (2,433 words), or even one his major influences: Marilyn Manson (2,466 words).

There are also genre-bending artists. If Childish Gambino's Awaken, My Love! is less hip hop in the traditional '90s boom-bap sense, is it fair to compare it to vocabulary-dense Wu-Tang albums? Genre matters in vocabulary calculations-check out the chart below, which takes 500 random samples of 35,000 words from rock, country, and hip hop.

# of Unique Words Used in 500 Random Samples of 35,000 Lyrics from Country, Rock, Hip Hop

In short, if artists depart from hip-hop song structure, we'd expect their vocabulary to go down in the number of unique words.

That said, the results are still directionally interesting. Of the 150 artists in the dataset, let's take a look at who is on top.

When I first published this analysis, I excluded Aesop Rock, figuring he was too obscure. The Reddit hip-hop community was in an uproar, claiming that Aesop would absolutely be #1. Sure enough, Aesop Rock is well above every artist in the dataset, and I was obliged to add him to the chart.

For the most recent update, I pored over requests from readers, and Busdriver was most common on folks' wishlists. He and Aesop Rock are the only rappers with more than 7,000 unique words in their first 35,000 lyrics.

Wu-Tang Clan at #5 is impressive given that 10 members, with vastly different styles, equally contribute lyrics. Add the fact that GZA, Ghostface, Raekwon, and Method Man's solo works are also in the top 20 - notably, GZA is at #4.

Of course E-40 is in the top 20%; he's considered to be the inventor of many slang terms. Just a few that he's been responsible for coining or popularizing: "all good," "pop ya collar," "shizzle," and "you feel me."

Outkast's expansive vocabulary is definitely a function of their style: frequent use of portmanteaus (for example, "ATLiens," "Stankonia"), southern drawl (for example, "nahmsayin," "ery'day"), and made-up slang (for example, "flawsky-wawsky").

Since both rappers are known for their speed, it's nice to see that their verses are just as lyrically diverse as their peers'.

So what's all this mean?

io9 writer Robert Gonzalez blew my mind with this point, "On the Black Album track 'Moment of Clarity,' Jay-Z contrasts his lyricism with that of Common and Talib Kweli" (both of whom rank higher than him, when it comes to the diversity of their vocabulary):

I dumbed down for my audience to double my dollars

They criticized me for it, yet they all yell "holla"

If skills sold, truth be told, I'd probably be

Lyrically Talib Kweli

Truthfully I wanna rhyme like Common Sense

But I did 5 mil - I ain't been rhyming like Common since

I used a research methodology called token analysis to determine each artist's vocabulary. Each word is counted once, so pimps, pimp, pimping, and pimpin are four unique words. To avoid issues with apostrophes (e.g., pimpin' vs. pimpin), they're removed from the dataset. It still isn't perfect. Hip hop is full of slang that is hard to transcribe (e.g., shorty vs. shawty), compound words (e.g., king shit), featured vocalists, and repetitive choruses.

If you're looking for more quantitative analysis of hip hop, check out Tahir Hemphill's many foundational projects (and whose work initially inspired this analysis) and Martin Conner's Rap Analysis.

Vocabulary count data is available here.

Notable artists currently excluded, under the 35,000 threshold: Cardi B, Dej Loaf, Princess Nokia, Rae Sremmurd, Dreezy, Remy Ma, Dej Loaf, Da Brat, Princess Nokia, Queen Latifah, Azealia Banks, Nav, Dreezy, Earl Sweatshirt, Eyedea, Jay Electronica, Pharoahe Monch, Pusha T, Saba, Waka Floka Flame, XXXTentacion.

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Rappers, sorted by the size of their vocabulary

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The Largest Vocabulary In Hip Hop Rappers, ranked by the number of unique words used in their lyrics This project was originally published in 2014 and recently updated in January 2019 with newer lyrics data and 75 additional artists, including Lil Uzi Vert, Lil Yachty, Migos, and 21 Savage.

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Daily Routines of Famous Creative people

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Daily Routines of Famous Creative people

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A clear way of visualizing their time throughout the day

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Animation of United States Average Annual Temperatures by County

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Animation of United States Average Annual Temperatures by County

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The animation is very effective and it was made using ggplot. (Joan)

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A few graphs showing NBN speeds from data collected in Feb 2020

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Australian Competition and Consumer Commission

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Our Measuring Broadband Australia program gives you information on the real world performance of broadband plans. We will be publishing updates to this page every quarter. The information below is based on measurement results collected in February 2020.

Note: This page requires JavaScript to display correctly, please enable JavaScript or use a browser that support JavaScript.

NBN plan speeds delivered during busy hours and the busiest hour

Busy hours = 7.00pm to 11.00pm.

Busiest hour = Fifth lowest hourly average speed out of all the month's busy hours for each RSP. The busiest hour calculation method was revised in May 2019. Busiest hour results are not comparable with those published in Feb 2019.

= Benchmark level 60%.

Percentage point changes compared with previous quarter's measurements.

Percent of maximum plan speed.

The shaded area indicates the boost to average speed if services not able to achieve maximum plan speeds were excluded from the overall results. These services include NBN FTTN connections not capable of delivering 50 Mbps. If you are a customer on a service that does not deliver expected speeds, contact your provider to ask whether the problem can be fixed or about moving onto a cheaper plan.

Average daily outages per user lasting longer than 30 seconds

All services

Excluding services that are unable to achieve maximum plan speeds

Note: This excludes outages between midnight and 6am when maintenance and upgrades are usually carried out.

NBN and ADSL plan speeds delivered during busy hours by technology

All services

Potential speeds that could be delivered when excluding services that are unable to achieve maximum plan speeds

Average NBN and ADSL download speeds during busy hours by plan

Average NBN and ADSL download speeds by hour of day

Distribution of download speed tests, by percentage of plan speed

This chart shows the proportion of download speed test results for NBN plans that were above 90 per cent of plan speed, between 50 per cent and 90 per cent of plan speed, and under 50 per cent of plan speed. ADSL results are excluded.

Technical quality measures

Technical quality measures includes web page loading time, latency, and the frequency of packet loss.
Show technical quality measures

Web page loading time

Frequency of packet loss

High latency can impact online experiences such as video conferencing, media streaming and online gaming. Latency is the total time it takes a data packet to travel from one network node to another.

Packet losses can impact online experiences such as video conferencing, media streaming and online gaming. Packet loss occurs when one or more packets of data travelling across a computer network fail to reach their destination.

Packet losses over 1% were more frequent on ADSL (8.3%) than NBN (3.9%).

Chart data tables

Data used in the charts are provided below.

Table 1. NBN plan speeds delivered during busy hours and the busiest hour

Download - busy hours

Download - busiest hour

Upload - busy hours

May 2020

Change (%)

Potential speeds that could be delivered when excluding services that are unable to achieve maximum plan speeds

May 2020

Change (%)

May 2020

Change (%)

Potential speeds that could be delivered when excluding services that are unable to achieve maximum plan speeds

Table 2. Average daily outages per user lasting longer than 30 seconds

All services

Average daily outages excluding services that are unable to achieve maximum plan speeds

All services

Average daily outages excluding services that are unable to achieve maximum plan speeds

Table 3. NBN and ADSL plan speeds delivered during busy hours by technology

NBN

All results as a percent of maximum plan speed (%)

Potential speeds that could be delivered when excluding results that are unable to achieve maximum plan speeds

All results as a percent of maximum plan speed (%)

Potential speeds that could be delivered when excluding results that are unable to achieve maximum plan speeds

Table 4. Average NBN and ADSL download speeds during busy hours (Mbps)

Table 5. Average NBN and ADSL download speeds by hour of day (Mbps)

Table 6. Distribution of download speed tests, by percentage of plan speed

Table 7a. Web page loading time (seconds)

Table 7b. Latency (milliseconds)

Table 7c. Frequency of packet loss

Daily NBN download speeds during all hours by plan

This chart plots the daily average download speed over the period for the 25/5, 50/20 and 100/40 NBN speed tiers for all hours against the February 2020 monthly average measurement for each speed tier indicated by the lighter dashed lines.

Daily NBN download speeds during busy hours by plan

This chart plots the daily average download speed over the period for the 25/5, 50/20 and 100/40 NBN speed tiers in the busy evening hours against the February 2020 monthly average measurement for each speed tier indicated by the lighter dashed lines.

Monthly data presented should not be directly compared with corresponding data in the quarterly reports as the composition of sample sizes may vary between the quarterly and monthly report.

12/1 Mbps services are excluded from monthly reporting due to the limited sample size

Chart data tables

Data used in the charts are provided below.

Table 1a. Daily NBN download speeds during all hours by plan (Mbps)

Table 1b. Daily NBN download speeds during all hours by plan compared with February 2020 monthly average

Table 2a. Daily NBN download speeds during busy hours by plan (Mbps)

Table 2b. Daily NBN download speeds during busy hours by plan compared with February 2020 monthly average

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Our Measuring Broadband Australia program gives you information on the real world performance of broadband plans. We will be publishing updates to this page every quarter.

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📹 Interactive visualisation of atmospheric data

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📹 Interactive visualisation of atmospheric data

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Interactive world map, where you can choose which weather features to plot and overlay, including air/water/chemicals/particulates. Amazing.

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earth :: a global map of wind, weather, and ocean conditions

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See current wind, weather, ocean, and pollution conditions, as forecast by supercomputers, on an interactive animated map. Updated every three hours.

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A snapshot of Australian agriculture by KPMG

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A snapshot of Australian agriculture by KPMG

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I like how KPMG have brought together key figures from the Australian agriculture industry in this intuitive, easy-to-read slide. The green palette and the map filled with images of produce help set the mood.

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📹 Visualization of the worlds shipping routes

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📹 Visualization of the worlds shipping routes

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Super cool interactive map using shipping GPS data and a short video highlighting some areas of interest.

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Each year, more than 11 billion tons of stuff gets carried around the world by large ships. Clothes, flat-screen TVs, grain, cars, oil - transporting these goods from port to port is what makes the global economy go 'round.

Now there's a great way to visualize this entire process, through this stunning interactive map from the UCL Energy Institute:

You can use the toggles at the top of the map to break down the ships by type - container ships (yellow), dry bulk carriers (blue), oil and fuel tankers (red), gas carriers (green), and ships transporting vehicles (purple) - or zoom in on different regions.

The researchers assembled data from the thousands of commercial ships that moved across the ocean in 2012. They then worked with the data visualization studio Kiln to make this map. Here are a few neat highlights from playing around with the thing:

1) You can trace the outlines of continents solely by looking at shipping routes

You can toggle the map so that it only shows major shipping routes and nothing else. Even here, you can clearly see the continents, save for the region above the Arctic circle, where few ships travel. (Though that may change as summer sea ice keeps receding.)

You can also see a few of the major river routes where large ships can navigate - like the Amazon River in northern Brazil, or the St. Lawrence River that allows ships to travel from the Atlantic to the Great Lakes, or the complex Volga-Baltic waterway in Russia.

It's also easy to spot some hubs of the global economy with this map. The red lines above trace ships carrying liquid fuels - crude oil or gasoline. As you can see, both Louisiana and Texas are major hydrocarbon hubs. There are also thick red lines streaming out of the Valdez Terminal in Alaska, which is at the southern end of the Alaska Pipeline, bringing oil from fields in the north.

2) There's a major shipping choke point around Malaysia and Singapore

One of the most important shipping lanes on the planet is the Strait of Malacca, the shortest route between the Pacific and Indian Oceans, which you can see here as a congested line of ships traveling past Singapore, Malaysia, and Indonesia. About 40 percent of world trade passes through this strait each year, including much of the crude oil that goes from the Middle East to China.

But the narrow strait is also vulnerable to disruption - and in recent years, there's been an uptick of pirate attacks in these straits. Technically, the three bordering states - Singapore, Malaysia, and Indonesia - are responsible for security in this region, defending it against piracy, but because it's so crucial, the US, China, India, and Japan have all provided assistance in securing the region.

Unfortunately, there's no easy way around. Ships that can't fit through the strait (its minimum depth is about 82 feet) have to take a detour of thousands of miles further south.

3) In 2012, most ships steered clear of Somalia

Starting around 2005, armed pirates from Somalia began stepping up raids on ships traveling around the Horn of Africa. Some analysts argued that illegal fishing by foreign boats in the region had initially driven many Somali fishermen to form armed militias to defend their waters. But those groups later turned to seizing cargo ships and holding the crews for ransom.

By 2012, pirates were costing commercial ships between $900 million and $3.3 billion per year. And, as you can see from the maps above, many ships were steering clear of Somalia's coast after emerging from the Mandeb Strait between Yemen and Djibouti, which leads up to the Suez Canal.

But that was also peak Somali piracy. In the years since, raids seems to have declined dramatically. Shipping companies increased their on-boat security while various militaries deployed armed ships to patrol the region. By most accounts, it seems to have worked.

4) Ships have to move in neat routes through tight spaces like the English Channel

The researchers note that "while ships can move freely through the open ocean, routes are predetermined closer to land." This is evident in the English Channel, where ships need to move in nice, neat lanes - as if it were a two-lane highway.

5) You can see ships waiting their turn at the Panama Canal

Each year, nearly 15,000 ships pass through the Panama Canal connecting the Pacific and Atlantic Oceans. Only a few ships can go through the narrow locks at a time as they are slowly raised and lowered using water from the lake above. So ships anchor outside the canal, sometimes for weeks, while they wait their allotted turn. (All told, about 30 to 40 large ships pass through the canal each day.)

To handle the next generation of large container ships, the Panama Canal is undergoing an expansion, with an additional set of locks on both the Atlantic and the Pacific. Even this expansion, however, won't be able to handle the very largest set of container ships - which can be as big as four football fields laid end-to-end.

So what do those behemoths do? Nicaragua has thought about building its own, bigger canal to accommodate these ships, but that may never get built (and is a fiasco for a whole host of reasons). So, for now, the big ships still have to go all the way around South America.

6) The world's ships are a major source of carbon dioxide emissions

There's a huge cost to all this shipping. The ships have to burn a lot of bunker fuel, and in 2012, they ended up emitting some 796 million tons of carbon dioxide. The researchers note that that's more than "the whole of the UK, Canada or Brazil emit in a year." Or, put another way, shipping is responsible for some 3 to 4 percent of man-made greenhouse gas emissions.

Now, this is still much more efficient than shipping all that stuff by land or air. Still, researchers have been looking into ways to shrink the shipping industry's carbon footprint. Nate Berg ran through some of the best ideas here: "From technological improvements such as retrofitted rudders and propellers to enhanced weather routing, shipping companies are eyeing many ways to improve their efficiency."

Further reading: The environmental cost of shipping our stuff is huge. Can we fix that?
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This is an incredible visualization of the world's shipping routes

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Ships carry 11 billion tons of goods each year. This interactive map shows where they all go.

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Covid19 Update - Transmission Sources in Australia

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Covid19 Update - Transmission Sources in Australia

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I think the visualizations presented by these group of volunteers are clear & effective!

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Transmission sources in Australia of COVID-19 | covid19data.com.au

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A national cumulative view of COVID-19 transmission sources in Australia. Overseas-acquired and locally-acquired case perspectives.

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Article on Hbr presenting Data visualization that work
https://www.google.com/amp/s/hbr.org/amp/2016/06/visualizations-that-really-work

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A simpler form of a stacked graph that depicts the financial year against units sold. A qualitative colour palette is used here to code the different type of systems that were sold at each financial year.

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While this is a more basic form in comparison to other visualisations, this side bar chart also makes good use of a qualitative colour palette to differentiate the types of consoles.

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Daily Statistics of COVID-19 Cases in Malaysia

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Daily Statistics of COVID-19 Cases in Malaysia

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A simple but informative dashboard. Different colour hues with similar intensity are used for distinguishing the time series data over the different phases of Movement Control Order implemented in Malaysia.

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This infographic illustrate the inter-relationship between different clusters. The red dots represent the confirmed cases and the black dot represent the deaths.

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Network Cases Graph | COVID-19 | Malaysia Outbreak Monitor | Live Updates

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Network Cases Graph | COVID-19 | Malaysia Outbreak Monitor | Live Updates

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Find out the current outbreak in Malaysia and the world, Network Cases Graph | COVID-19 | News & Stats for coronavirus in Malaysia and the world

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Do we really know how much coffee farmers actually receive?

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Do we really know how much coffee farmers actually receive?

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I think this visualisation from https://www.chartr.co/ (a great website) strikes a good balance between simplifying data so it's easy enough to understand but keeping the detail. However they often produced reports based on data elsewhere so it's tricky to know if it's always reputable.

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Check out the the scary red dots on the world map.

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From Kaspersky Lab, presenting us how dangerous it is if we don't care about the cybersecurity.

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MAP | Kaspersky Cyberthreat real-time map

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MAP | Kaspersky Cyberthreat real-time map

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MAP | Find out if you are under cyber-attack here

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Saw this visual several years ago. It can be found how busy the world is. Worried about climate change, but also it may provide us some insights about which area is more developed than others.

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I saw this at a conference a while ago and find it a very powerful use of colour and the direction of the bar

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Listen some music, stay safe!

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There is some lovely "art" out there too....

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There is some lovely "art" out there too....

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Flow Fields, a generative art tool by Michael Freeman, lets you adjust various parameters, such as color, smoothness, and fluctuations, and the flows just keep coming. Pretty.

The code is up on GitHub and is based on Daniel Shiffman's Coding Train tutorials.

Become a Member
Support an independent site. Make great charts.

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Flow Fields, a generative art tool by Michael Freeman, lets you adjust various parameters, such as color, smoothness, and fluctuations, and the flows just keep coming. Pretty. The code is up on GitHub and is based on Daniel Shiffman's Coding Train tutorials. Become a Member Support an independent site.

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"The 19" is the data gift that keeps on giving... plenty of awful out there too

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Apparently, every county in Florida has the same number of coronavirus cases.

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549 votes and 26 comments so far on Reddit

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Trying again to add this as I wasn't signed in before! Who eats the most Greggs products in the UK?

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This graphically shows who eats the most Greggs shop products across the UK. I love the pun on Heat Map!

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Heart rates of fans during football matches

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Heart rates of fans during football matches

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This visual immediately conveys the premise of two distinct and separate alternatives. The use of colour is very intentional - it references traffic lights (red=stop, green=go), and also implies a movement from more meat-focused (left) to plant-focused (right). This impression is given even though the word "meat" only actually appears in the right pyramid. The use of colour is prioritised over the legibility of the text - even if they can't read the words, viewers immediately understand that eating more green foods is better than eating more brown foods.

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The visualisation of flattening the curve of Covid19 is all over Twitter. But, as @jinsolmu the artist responsible for this version notes, data visualisations are not compelling to many, whereas pictures of cats are.

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Of course, this is dependent on counties actually testing systematically. Oddly fascinating to watch the UK bouncing in and out of the top ten, with the numbers rapidly increasing over time.

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{UPDATED March 12th} Total CONFIRMED COVID-19 Coronavirus Cases Per Country