Great job on this. I enjoyed reading your data puke.
Just some comments tho:
- It is generally painful for the eyes to see stretched out images (seen in your excel tables)
- Why do you use a period (.) instead of commas (,) as number serparators? (seen in your charts)
When I read your comments, I got mixed feelings on the first line and took them similarly to Digaran’s interpretation.
My mind sometimes goes down weird paths, so I then moved on to considering that “puke”, if used instead of “dump” by accident or language mistranslation, could create a new way of referencing the “pump and dump” price feature for the “puke and dump”.
I then moved on to considering the similarities between puke and dump, and while both are the body’s way of disposing of ingested food and beverage, the latter does come out a winner versus the former in terms of satisfaction.
Then I went back to square one and wondered if “data puke” was actually a term I wasn’t aware of, and bingo, I found a few references to it. It turns out that Data Puke is considered by some as the following:
(quote from source (a few years old though) :
https://geovoices.geonetric.com/2013/05/data-puke-vs-actionable-data/5 Signs You Are Generating Data Puke:
1. The only numbers you are looking at are the high-level “dashboard” numbers (most of the time dashboards are data puke).
2. “What’s this?” or “What’s this showing?” is how someone else looking at the report you just created instantly responds.
3. It doesn’t pass the “so what?” test. Ask yourself “so what?” for every statistic you pull, and if you don’t have a measurable or economically identifiable reason to measure it, then don’t. You’re wasting your time.
4. If you are looking at a report and there is no mention of a ‘target’ or ‘goal’.
5. There is no context behind anything you are presented with or presenting to others.
(end of quote)
I believe that my stat does not comply fully with the above, although to some extent it may adjust to some of the items above stated. In full disclosure, I normally go in deeper into the data and insights, but I need to know the business from inside out, it´s strategic and tactical objectives, and then, and only then, can I take things to the next level.
As to the image stretching, I can´t master it any better yet. Things look pretty good on various of my devices, although it’s true that screen resolution on them is excellent and may not be the standard, so other devices may take sizing on with a worse visual result.
Lastly, I use a period separator to separate groups of 3 digits due to that being the default in my country (the comma is used as a decimal separator). Same can be said on date formats, where day and month are inverted depending on the country you’re in.
See for example:
Source:
https://en.wikipedia.org/wiki/Decimal_separatorWhen one country uses a coma as a decimal separator, they normally use the comma as the thousand’s separator and vice-versa.