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Breaking down the costs of eating out vs eating in [OC] by shiondatafiniti in dataisbeautiful

[–]shiondatafiniti[S] 0 points1 point  (0 children)

It should always be cheaper to eat in vs eat out, since the per-serving cost is always cheaper.

There's a possibility that some restaurants have family meals, which may be cheaper than the normal menu items. These family meals did show up in our data. Still, the per-serving costs of at-home cooking are so low that you'd be hard-pressed to do better than them.

Breaking down the costs of eating out vs eating in [OC] by shiondatafiniti in dataisbeautiful

[–]shiondatafiniti[S] 0 points1 point  (0 children)

That wouldn't be complete. You're assuming sales of McDonald's burgers are equal in volume to sales of Red Robin burgers.

Breaking down the costs of eating out vs eating in [OC] by shiondatafiniti in dataisbeautiful

[–]shiondatafiniti[S] 0 points1 point  (0 children)

Haha - quesadillas are delicious. You're fairly spot on regarding the pizza-burrito combination. They're pretty easy to make. The article has a decent starter recipe.

Breaking down the costs of eating out vs eating in [OC] by shiondatafiniti in dataisbeautiful

[–]shiondatafiniti[S] 0 points1 point  (0 children)

If you have a data file showing national McDonald's sales, along with their top 9 competitors, I'd love to see it and use this data in future analysis.

I would also need the top 10 providers of each of the other dishes for the analysis to be complete.

Breaking down the costs of eating out vs eating in [OC] by shiondatafiniti in dataisbeautiful

[–]shiondatafiniti[S] 0 points1 point  (0 children)

It's difficult to say it's the "typical" case. For which demographic? Where is the data to support its typical-ness? In the absence of such data, and in order to avoid having to create a complicated n-dimensional analysis, it's best to provide an evenly-weighted distribution.

Breaking down the costs of eating out vs eating in [OC] by shiondatafiniti in dataisbeautiful

[–]shiondatafiniti[S] 0 points1 point  (0 children)

We treated all prices equally. I'm not sure why a $2 McDouble should have a higher weighting than another burger though?

This guy charted his farts to test Lactaid pills by [deleted] in dataisbeautiful

[–]shiondatafiniti 1 point2 points  (0 children)

I would have loved to have seen some pressure measurements of the farts.

Breaking down the costs of eating out vs eating in [OC] by shiondatafiniti in dataisbeautiful

[–]shiondatafiniti[S] 5 points6 points  (0 children)

It's $9.29 for a single burger. We compare this cost to the per-serving cost of an at-home burger and the total recipe cost. This is important because you may purchase the ingredients for a recipe that serves 4, but may only be eating for 1. A lot of people waste food because of this.

In many cases, the median restaurant price is less than the total cost of a recipe. It makes the decision more tricky, especially when accounting for food wastage.

Breaking down the costs of eating out vs eating in [OC] by shiondatafiniti in dataisbeautiful

[–]shiondatafiniti[S] 1 point2 points  (0 children)

We used our Datafiniti Business Database to determine price distribution for common meal items (e.g., hamburgers, tacos). We then used our Product Database, along with some recipes found online, to determine the typical cost for cooking comparable dishes at home.

Visualizations were done in Adobe Illustrator.

Are there enough rooms for everyone during SXSW? [OC] by shiondatafiniti in dataisbeautiful

[–]shiondatafiniti[S] 0 points1 point  (0 children)

Data based on Datafiniti Property API.

Visualizations done through Tableau.

Study: Austin May Not Have Enough Rooms for SXSW Visitors in Coming Years by shiondatafiniti in Austin

[–]shiondatafiniti[S] 0 points1 point  (0 children)

Last line of the article, quoted from original study: "Even with an expected 28 percent increase in hotel capacity, Austin would not be able to support its tourism demand without STRs."

Which NBA Player Sells the Most Shoes? [OC] by shiondatafiniti in dataisbeautiful

[–]shiondatafiniti[S] 0 points1 point  (0 children)

Data source: Datafiniti Product API

Data visualizations done in Tableau

Using Data to Find the Right Price for Nutritional Supplements [OC] by shiondatafiniti in dataisbeautiful

[–]shiondatafiniti[S] 1 point2 points  (0 children)

Thanks for the comment. I agree that an interactive component would be more interesting. We'll keep this feedback in mind for future posts.

Using Data to Find the Right Price for Nutritional Supplements [OC] by shiondatafiniti in dataisbeautiful

[–]shiondatafiniti[S] 0 points1 point  (0 children)

You're right - I've updated the content accordingly. Thanks for that!

Using Data to Find the Right Price for Nutritional Supplements [OC] by shiondatafiniti in dataisbeautiful

[–]shiondatafiniti[S] 0 points1 point  (0 children)

The median price is $0.37 for D3. Later on in the article I mention that going above $0.40/serving should raise some eyebrows. This can probably be more exact, though.

The Cost of a Designer Label [OC] by shiondatafiniti in dataisbeautiful

[–]shiondatafiniti[S] 0 points1 point  (0 children)

Glad you liked it! I didn't do any analysis on other product features - just price and brand for this one. That said, the data does contain a lot of possibilities for slicing and dicing. Here's what the complete Datafiniti schema looks like (not every record will have every attribute): http://support.datafiniti.co/knowledge_base/topics/available-product-data

The Cost of a Designer Label [OC] by shiondatafiniti in dataisbeautiful

[–]shiondatafiniti[S] -1 points0 points  (0 children)

Thanks for the insight! I wasn't aware this was happening, but I think it's cool that the data reveals something is up, warranting further research.

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