Question: I'm trying to develop a regression model. A possibility is to derive more features of course. The final goal is to find the model with the best results on predicting test set. Are there any guidelines/common practices for when to use which model (based on e.g. sample size, number of features)?

Answer: 
This seems to be a bar chart made using Google sheets, see also this chart which was made with Google sheets:

[![enter image description here](https://i.stack.imgur.com/UCoS0.jpg)](https://i.stack.imgur.com/UCoS0.jpg)
It's really difficult to know with what tool they do that. but I will give my chances to R or Excel. That overlapping is automatic perform with excel just selecting the data this is the instruction-: Go to the insert section: char category and choose the 2-D Column, Style 7, Layout 16.

[![enter image description here](https://i.stack.imgur.com/c9HMz.png)](https://i.stack.imgur.com/c9HMz.png)

also you can perform a "similar" plot with ggplot and the theme pubclean.
( maybe you need to check the themes of ggpubr )

```
# Create the bar plot. Use theme_pubclean() [in ggpubr]
ggplot(df, aes(x = cut, y = counts)) +
  geom_bar(fill = "#0073C2FF", stat = "identity") +
  geom_text(aes(label = counts), vjust = -0.3) + 
  theme_pubclean()

```

[![enter image description here](https://i.stack.imgur.com/krzwu.png)](https://i.stack.imgur.com/krzwu.png)

Just for check again and give to you reasons about this graph. That webpage continue with another bar chart with the dates stacked in vertical position.

[![enter image description here](https://i.stack.imgur.com/ISr2L.png)](https://i.stack.imgur.com/ISr2L.png)

Using Excel with some old visualization( check the dates ):

[![enter image description here](https://i.stack.imgur.com/OZ39y.png)](https://i.stack.imgur.com/OZ39y.png)

Note: If my data is small the dates will look like the above chart.

References:

R graphics essentials: Plot One Variable, Frequency Graph, Density Distribution and More:

<http://www.sthda.com/english/articles/32-r-graphics-essentials/133-plot-one-variable-frequency-graph-density-distribution-and-more/>