I recently taught my daughter how to solve the rubik’s cube using “the beginner method”. She’s getting decently fast, but when we watched some youtube videos about really fast speed cubers, we were blown away by how fast people can solve the cube. The world record time is under 4 seconds! I thought it’d be fun to document the progression of world records since the cube was introduced in 1980.
What was interesting in looking through the records are the strange events that people compete in and post amazing times in. Blindfolded! With Feet! One-handed! Feet or one-handed is at least in the realm of possibility, though it would slow down my already slow solves, but blindfolded is next-level stuff.
Hover over the different data series for the events to see the record-holder’s name, country, solve time and competition for each world record. You can also toggle the y-axis scale from linear to log scale in order to distinguish between the latest world records as they tend to converge and have very small changes.
Not sure if it’s motivating or discouraging to see these ridiculously fast solve times. Knowing that we’ll never be able to beat people who solve the cube blindfolded is a bit humbling.
Data and Tools:
Data was downloaded from cubecomps.com, a speed cubing website and the data was plotted using the open-sourced Plot.ly javascript engine.
This visualization is one of a series of visualizations that present US household spending data from the US Bureau of Labor Statistics. This one looks at the income of the household.
One of the key factors in financial health of an individual or household is making sure that household spending is equal to or below household income. If your spending is higher than income, you will be drawing down your savings (if you have any) or borrowing money. If your spending is lower than your income, you will presumably be saving money which can provide flexibility in the future, fund your retirement (maybe even early) and generally give you peace of mind.
I obtained data from the US Bureau of Labor Statistics (BLS), based upon a survey of consumer households and their spending habits. This data breaks down spending and income into many categories that are aggregated and plotted in a Sankey graph.
Instructions:
As stated before, one of the keys to financial security is spending less than your income. We can see that on average, those in the lowest quintiles may be borrowing or drawing down on savings to live their lifestyle, while those in the highest quintiles are saving money and contributing to wealth. This fairly high level of borrowing/drawing on savings from the lowest quintile households may be deceptive because it includes seniors who are drawing down savings that were built up specifically for this purpose, and college students who are borrowing to go to school. These groups generally don’t have significant incomes.
How does your overall spending compare with those in your income group? How about spending in individual categories like housing, vehicles, food, clothing, etc…?
Probably one of the best things you can do from a financial perspective is to go through your spending and understand where your money is going. These sankey diagrams are one way to do it and see it visually, but of course, you can just make a table or pie chart or whatever.
The main thing is to understand where your money is going. Once you’ve done this you can be more conscious of what you are spending your money on, and then decide if you are spending too much (or too little) in certain categories. Having context of what other people spend money on is helpful as well, and why it is useful to compare to these averages, even though the income level, regional cost of living, and household composition won’t look exactly the same as your household.
Here is more information about the Consumer Expenditure Surveys from the BLS website:
The Consumer Expenditure Surveys (CE) collect information from the US households and families on their spending habits (expenditures), income, and household characteristics. The strength of the surveys is that it allows data users to relate the expenditures and income of consumers to the characteristics of those consumers. The surveys consist of two components, a quarterly Interview Survey and a weekly Diary Survey, each with its own questionnaire and sample.
Data and Tools:
Data on consumer spending was obtained from the BLS Consumer Expenditure Surveys, and aggregation and calculations were done using javascript and code modified from the Sankeymatic plotting website. I aggregated many of the survey output categories so as to make the graph legible, otherwise there’d be 4x as many spending categories and all very small and difficult to read.
This updated visualization is a detailed look at the breakdown how taxes are applied to your income across each of the tax brackets. The previous version of this visualization was a Sankey graph and this new version combines the sankey view with a mekko (or marimekko) graph view. It should help you to better understand marginal and average tax rates. This tool only looks at US Federal Income taxes and ignores state, local and Social Security/Medicare taxes.
Both the sankey and mekko graphs help you easily the size each of these tax brackets and the fraction of income in that bracket that you can keep and the fraction going to taxes. Also shown is the split of the regular income vs capital gains and how capital gains is “stacked” on top of the regular income.
The mekko graph is a stacked horizontal bar graph where the height of each bar is proportional to the size of the tax bracket and the bar is split into two parts: a keep and a tax portion. This makes it clear the progressive nature of the tax code, initial tax brackets are taxed at the lowest amounts and as you fill up more tax brackets, the tax rate, and the amount of money you must give to the government, increases.
As seen with the marginal rates graph, there is a big difference in how regular income and capital gains are taxed. Capital gains are taxed at a lower rate and generally have larger bracket sizes. Generally, wealthier households earn a greater fraction of their income from capital gains and as a result of the lower tax rates on capital gains, these household pay a lower effective tax rate than those making an order of magnitude less in overall income.
Also shown is a summary bar graph that shows the split in your total income into a part that you keep and the other that owed to taxes, i.e. your average tax rate.
This is a written description of how to apply marginal tax rates. The income you have is split across various tax brackets, which by analogy can be thought of as buckets where once you fill one up, the additional money goes into another bucket, until that is filled up and so on until all your income is distributed across these brackets. The last brackets are open-ended so they are of infinite size.
You start with your deductions which changes based on your filing status, age and if you have itemized deductions. You fill this up first and you can think of this as the 0% tax bracket. Then any additional income goes into the 10% bracket where 10% of this income goes to taxes. This proceeds then onto the 12%, 22% and so on brackets.
The default example is described here for tax year 2025
This table lets you choose to view the thresholds for each income and capital gains tax bracket for the last few years. You can see that tax rates are much lower for capital gains in the table below than for regular income.
Data and Tools:
Tax brackets and rates were obtained from the IRS website and calculations were made using javascript, CSS and HTML. The sankey graph was made using code modified from the Sankeymatic plotting website and the mekko graph was made using the Plotly javascript open source library.
There is a fair amount of confusion about what a marginal tax rate is and how it affects how much tax you would owe the government on a certain amount of income. These graphs are here to help you better understand the difference between a marginal and average tax rate and to easily calculate these rates for specific examples in the US context. This tool only looks at US Federal Income taxes and ignores state, local and Social Security/Medicare taxes.
Marginal tax rates are the rate at which an additional dollar of income will be taxed at. There are different tax brackets (each with its own marginal rate) depending on which dollar of income you are looking at. This is very different from the Average (or effective) tax rate that is the result of applying these marginal tax rates across all of your income.
Instructions for using the visual tax calculator:
Here are two tables that lists the marginal tax brackets in the United States in 2019 that form the basis of the calculations in the calculator. 2018’s numbers are pretty similar.
Rate | Single Taxable Income Over |
Married Filing Joint Taxable Income Over |
Heads of Households Taxable Income Over |
---|---|---|---|
10% | $0 | $0 | $0 |
12% | $9,700 | $19,400 | $13,850 |
22% | $39,475 | $78,950 | $52,850 |
24% | $84,200 | $168,400 | $84,200 |
32% | $160,725 | $321,450 | $160,700 |
35% | $204,100 | $408,200 | $204,100 |
37% | $510,300 | $612,350 | $510,300 |
You can see that tax rates are much lower for capital gains in the table below than for regular income (table above).
Single Capital Gains Over |
Married Filing Jointly Capital Gains Over |
Heads of Households Capital Gains Over |
|
---|---|---|---|
0% | $0 | $0 | $0 |
15% | $39,375 | $78,750 | $52,750 |
20% | $434,550 | $488,850 | $461,700 |
For those not visually inclined, here is a written description of how to apply marginal tax rates. The first thing to note is that the income shown here in the graphs is taxable income, which simply speaking is your gross income with deductions removed. The standard deduction for 2019 range from $12,200 for Single filers to $24,400 for Married filers.
Data and Tools:
Tax brackets and rates were obtained from the IRS website and calculations were made using javascript and plotted using the plot.ly open source javascript plotting library.
Check out my new Colorado river reservoirs visualization.
I also added the ability to select specific reservoirs to display on the graph and share a custom URL which will point those selected reservoirs (click on “list” button on top right of dashboard).
If you are reading this, it’s probably the winter rainy season in California again, and time to check on the status of the water in the California reservoirs. I previously made a “bar graph” showing the overall level of water in the major California reservoirs. This dashboard provides a bit more detail on the state of each of the reservoirs while also showing an aggregate total. It updates hourly using data from the California Department of Water Resources (DWR) website, giving an up-to-date picture of California reservoir levels.
This is a marimekko (or mekko) graph which may take some time to understand if you aren’t used to seeing them. Each “row” represents one reservoir, with bars showing how much of the reservoir is filled (blue) and unfilled (brown). The height of the “row” indicates how much water the reservoir could hold. Shasta is the reservoir with the largest capacity and so it is the tallest row. The proportion of blue to brown will show how full it is, while the red line shows the historical level that reservoir is typically at for this date of the water year. The blue line indicates the reservoir’s water level one year ago today. There are many very small reservoirs (relative to Shasta) so the bars will be very thin to the point where they are barely a sliver or may not even show up.
Instructions:
If you are on a computer, you can hover your cursor over a reservoir and the dashboard at the top will provide information about that individual reservoir. If you are on a mobile device you can tap the reservoir to get that same info. It’s not possible to see or really interact with the tiniest slivers. The main goal of this visualization is to provide a quick overview of the status of the main reservoirs in the state and how they compare to historical levels.
You can sort the mekko graph by size – largest at the top to smallest at the bottom – or by reservoir location, from north to south.
If you click on the “list” button in the top right of the dashboard, it will show a list of the reservoirs (in order of size from largest to smallest) and you can check which ones you would like to display. You can also share a custom URL by clicking the “Save URL” button which will put the custom URL into the URL bar of your browser which you can then copy and share. You can also use it to monitor only the reservoirs you are most interested in.
Units are in kaf, thousands of acre feet. 1 kaf is the amount of water that would cover 1 acre in one thousand feet of water (or 1000 acres in water in 1 foot of water). It is also the amount of water in a cube that is 352 feet per side (about the length of a football field). Shasta is very large and could hold about 3.5 cubic kilometers of water at full (but not flood) capacity.
Data and Tools
The data on water storage comes from the California Department of Water Resources’ (DWR) Data Exchange Center. Python is used to extract the data from this page hourly and wrangle the data in to a clean format. Visualization was done in javascript and specifically the D3.js visualization library. It was my first time using D3 and it took me a long time to get up to speed. It takes a fair amount of work to make graphs compared to other more plug-and-play libraries but its very customizable, which is a plus. It was the only tool that I could find that would allow me to make a vertical marimekko graph.
An antipode is a point that is on the exact opposite side of the earth (or other sphere) from a given location. If you drew a line (vector) from your location to the center of the earth and continued that line until it emerged from the other side of the earth’s surface, that point of intersection on the other side is the antipode. When I was a kid, people occasionally mentioned “digging a hole to China”. While this is currently impossible for many reasons1Earth’s core is about 6000 degrees C, China is not the antipode for North America (where I grew up). If you grew up in Argentina or Chile, then maybe that would make a little more sense.
The antipodes for most of North America and Europe are in the Indian and South Pacific oceans respectively.
Other examples of antipodes that are both on land:
It should be relatively explanatory, but you find your location by dragging the globe on the left side so that your location is in the center crosshair. The other globe (on the right) will show you the antipode to your location.
You can zoom in and out with the +/- buttons or pinch to zoom on mobile. If you zoom in enough, it will look like a normal two-dimensional web map (like google maps).
Tools:
This interactive visualization is made using the awesome webglearth javascript library. I just discovered this recently after making a number of 2D maps.
Footnotes
↑1 | Earth’s core is about 6000 degrees C |
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