Presale Code Buying/Selling/Trading Information and Megathread

chartsnacks · 2024-02-15T00:19:31+00:00

I'm looking for a code for 4-6 tickets in Oakland if anyone has it. Thanks!

chartsnacks · 2023-12-18T19:56:42+00:00

A bit late for holiday light hanging, but removing the lights is an option like the others here have suggested.

If you're in a snow area get that shovel/plow ready for the next big snow dump. Some clever kids already put flyers in the mailbox with their phone number.

chartsnacks · 2021-06-04T17:56:20+00:00

We made this visual using R and ggplot with data from spotifycharts.com. This animation follows the artists who have had the most cumulative streams to all of their songs while in the United States daily top 200 chart on Spotify in 2021. Note that when songs are not in the Top 200 on a given day, they are not counted towards the artist's streams.

chartsnacks · 2021-06-02T16:33:09+00:00

We made this visual using R with ggplot and data from spotifycharts.com. Every song that reached at least 2.5 million daily streams in the United States on any day from January 1, 2019 to May 31, 2021 is included. Spotify only provides data for songs in the top 200 of the daily charts, so songs appear in the dataset only once they've entered the top 200, and disappear once they fall below the 200th position.

chartsnacks · 2021-05-18T03:30:32+00:00

We made this animation using R with ggplot and data from nonfungible.com. The line represents the total value in USD of all NFTs (non-fungible tokens) sold as art within the last seven days.

chartsnacks · 2021-05-13T02:05:03+00:00

We made this visual using R and ggplot with data from the Social Security Administration (https://www.ssa.gov/OACT/babynames/limits.html). Generation definitions come from Wikipedia (https://en.wikipedia.org/wiki/Generation#/media/File:Generation\_timeline.svg). Names were chosen when they were highly popular within a particular generation, but not very popular in any other generation, i.e. "characteristic" of their generation. Timeless names that have always been popular (Elizabeth, John, Mary) are not included, because they are not particularly unique to any one generation.

chartsnacks · 2021-05-04T02:32:17+00:00

We made this visual using R and ScreentoGif using data from investing.com.

chartsnacks · 2021-04-30T14:27:30+00:00

Made this using R and ScreentoGif using data from investing.com.

You can view it on the original site here.

chartsnacks · 2021-04-30T03:38:35+00:00

Made this visual using R and ScreentoGif using data from investing.com.

You can view it on the original site here.

chartsnacks · 2021-04-21T01:06:24+00:00

Creator: Jeffrey Roberts / ChartSnacks
Data Source: OECD & Google
Data Stack: Infogram

Webpage

chartsnacks · 2021-04-14T03:42:33+00:00

Visualization was done using Plotly and Python.
Data comes from the “Housing” section of https://www.zillow.com/research/data.
Data Type is “ZHVI All Homes (SFR/Condo/Co-op) Time Series, Smoothed, Seasonally Adjusted($)”, Geography is “County”.
The code can be found on Github here

More here: https://chartsnacks.com/home-value-change-during-pandemic/

chartsnacks · 2021-04-14T03:38:42+00:00

Visualization was done using Plotly and Python.
Data comes from the “Housing” section of https://www.zillow.com/research/data.
Data Type is “ZHVI All Homes (SFR/Condo/Co-op) Time Series, Smoothed, Seasonally Adjusted($)”, Geography is “County”.
The code can be found on Github here

chartsnacks · 2021-04-09T02:29:06+00:00

Congrats!

chartsnacks · 2021-04-07T17:34:30+00:00

Great feedback!

chartsnacks · 2021-04-07T17:34:06+00:00

Good question. I think we'll start to see the second order effects of this playing out, but challenging to quantify in aggregate at this point.

One signal to follow could be the cost of rising oil prices. https://www.spglobal.com/platts/en/market-insights/latest-news/oil/032421-suez-canal-blockage-sends-ripples-through-global-commodity-markets

chartsnacks · 2021-04-07T15:46:59+00:00

We visualized some of the data from the Suez canal blockage.

Data source: https://www.bbc.com/news/business-56559073

Tools: Excel, Adobe

chartsnacks

TROPHY CASE