That makes more sense. Why is retail so damn high?! I'm guessing the 4K is August was related to the move in July, maybe furniture or something, but I can't think of any other major expense in retail other than clothing and maybe electronics, but those are large non-recurring expenses. I find it hard to believe that you'd be buying nearly a thousand dollars worth of clothes every month, so it's probably a subcategory I'm not thinking of, but I have no idea what it is.

A lot of numbers here are confusing, especially for that retail expense. I would guess that the reason for the move was going from remote to in-office work. I have no idea why OP's housing costs fluctuate so much though, even if you include utilities.

The data source (St. Louis Fed) states "Credit Card Balances". Aren't all credit cards revolving by definition?

I find it really interesting how you can see the large drops in economic confidence during the financial crises and the decline of confidence in the press since the rise of the internet

Data Source: National Opinion Research Center General Social Survey (NORC GSS)

Tools Used: Microsoft Excel for data analysis, Node.js for data processing, React.js for data visualization. Affinity Designer for adding additional titles and labels.

OP linked a tweet of this graphic with such a message, which they promptly deleted.

That's fair, but it still wouldn't make this a valid comparison for what the author appears to be trying to show.

If I wanted to compare the change in population over time for the purposes of studying demographic, and I was looking at the US and Canada, unsure if they included Puerto Rico as part of the US data...I can't just take the population of Toronto and New York and extrapolate implying it represents something for all of Canada versus all of the US.

I'm not wondering why they don't split up Russia's far east. I'm wondering why they don't include Russia's population as a whole versus China's population as a whole.

Ah ok, so you're visualizing China's demographic threat. Is there a reason you're not just using Russia and China's total populations? From a Google Search, it seems that the Chinese province you used is "China's northernmost province, with remote mountain ranges" so it could just be that the Chinese in that province are moving to less remote, more urban Chinese towns/cities outside of that province.

I'm a bit confused what this graph is meant to show. The data is easily understood but there are 30+ Chinese provinces, so I'm confused why you're choosing one specific one and comparing it to all of Russia's far east.

It's gone down 60% this year.

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psst...shhh I'm not supposed to tell anyone so keep it quiet, but it flew from 189 trillion yen to 263 trillion yen this year. The rich get richer. :)

Kaguya says you're welcome :D

Data Source: Forbes World's Billionaires List

Tools Used: Node.js for data analysis/processing, React.js for data visualization. Affinity Designer for adding additional titles and labels.

A lot of wealth has been transferred in the past few years...first in 2020-2021 with the COVID-19 pandemic, and again now in the 2022-2023 recession. Searching online, I was surprised to find a few people on this list that I've never heard of before (Gautam Adani, Mukesh Ambani, Carlos Slim Helu). I created this graphic to visualize how today's top 10 billionaires net worth has been affected by all these changing economic events worldwide in recent years. The list is sorted descendingly from highest current net worth to lowest current net worth, as of January 2023).

You've eaten the same breakfast burrito at the same restaurant every weekend for the past 7 years? Wow!

Cool visual, I knew Shein had a lot more variety, but seeing it visually is mind-blowing. Unfortunate that you're being downvoted but that's Reddit I guess. Thanks for sharing!

My team and I gathered data for this 50 question survey before I took that psych class. However, point taken. Thanks

as much as I like Silicon Valley, I have no idea what your point is

It collects data and everyone knows how to use it. I don't see a problem since analysis is done elsewhere.

What's wrong with Google Forms?

Thanks for the comment. Sorry about that, little mistake on the face vs feel in the title there.

What you said would be really nice to measure. Unfortunately (or fortunately but let's not get into that debate), we don't have widespread use of standardized tests in Canada which makes these comparisons more difficult. I took a psychology course last year, and I'm nowhere near competent in that field but it's interesting to hear about your point of view regarding the potential correlation with the Big 5.

Thank you for the comment, it slipped my mind while making this graph because I code these graphs manually and I forgot to implement that feature. I'll do that in the future.

It is supposedly rampant every year at our university, so faculty heads and professors often write emails or perform speeches about it, especially to freshman.

"Imposter syndrome" or more accurately "confidence in ability" is a very big problem at my university since the software engineering and computer science programs are so competitive. It's the 1st or 2nd most competitive program in all of Canada.

For last year's graduating software engineering class:

The median salary was 120k USD plus 23k USD in stock/options and 29k USD signing bonus.

The average salary was 155k USD plus 70k USD in stock/options and 46k USD signing bonus.

No student graduated without a job, with only 6% earning less than 80k USD (75th percentile of individual income in the USA), and nearly half in the 90th percentile.

That said, it would be interesting to see how confidence in ability changed over the years from freshman to graduating classes.

Both are valid spellings

Yes I agree, any generalization would require a multi-university survey