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This is so confusing. Which one is the gas station count and which one the price?

Thanks for your feedback. Will try to make the different axises more clear next time.

Bars = Price difference (left axis)
Line = Station count (right axis)

Just some constructive criticism:

Line charts are generally used when there is some kind of progression or internal order between the values on the x-axis. Like when plotting time series for instance.

Here the choice of lines causes the viewer to look for an order or grouping that doesn't exist because the brands are nominal data.

Thank you, will look into it

That is not a beautiful display at all. So I guess it fits this sub perfectly!

Was pretty clear imo.

Too much information in one diagram. Only present the relevant information in your chart. in this case, it's the price difference, which is somewhat subjective because german gas stations change their price several times a day.

Confusing, it would me more intuitive putting the station count on the x axis, and the brand names on the bars

While I agree with your first part, the price difference is not subjective since every single gas station has to report their prices every time they change it and that information is publicly available. So the difference between average price at any given time and the individual prices is relevant information.

I think this could be plotted better on an X and Y chart with x being the number of stations and Y being the gas price differential (with 0 being in the middle) and then you label the data points with company names.

Is there any difference with regionals, is this before taxes (regional taxes differ?) etc. Would a brand operating in more urban areas have higher rents, etc.?

It is not even alphabetical either. At least that way the line graph can correlate the prices increasing in alphabetical order

I would use something different from a line to indicate number of stores. A darker color or a fatter bar. Or a second bar below the first (growing in the opposite way). Your conclusion seems OK, but why are there a couple of small companies in the expensive range? What other variable drives that? Are these only in big cities? Do they advertise more than others? Does being foreign owned make a difference? This is where data science can go thru a huge number of variables and find the most influential ones. And the for the rest of your research paper (haha) does the pattern hold true in other countries? What about time—does the relation change when costs are high/low, stable/changing? You could write a master’s degree dissertation on this. Also would look good in an interview.