Table with time series - duplicate data/rows

Question

currently i'm facing some issues with large data tables with lots of duplicated/redundant data.

Those rows displaying time series of measurements and are mostly identical, so most of the rows looks like that:

1.1.2019 | 21 | "value" | "other value"
1.2.2019 | 21 | "value" | "other value"
1.3.2019 | 21 | "value" | "other value"
1.4.2019 | 21 | "value" | "other value"
1.5.2019 | 22 | "value" | "other value"

is there any good pattern how to reduce displayed redundant rows? Just searched a lot, but was not very successful.

1.1.2019 | 21 | "value" | "other value"
1.2.2019 |    |         | 
1.3.2019 |    |         | 
1.4.2019 |    |         | 
1.5.2019 | 22 |         | 

Was my intuitive try, but first i looks kind of stupid and there might be empty fields (measurement errors).

thanks in advance for your input!

Answer 1

You could show the dates that have the same values in a range like this, accordion-style:

1.1.2019 - 1.4.2019 | 21 | "value" | "other value"       (+)
1.5.2019            | 22 |         | 
1.6.2019            | 21 | "value" | "other value"       (-)
1.7.2019            | 21 | "value" | "other value"
1.8.2019            | 21 | "value" | "other value"
1.9.2019            | 21 | "value" | "other value"

The (+)/(-) would be an accordion icon to display all