commercialolz.blogg.se - Excel pivot table cheat sheet pdf

I want to summarize by year, so I drag “year” down into the “Rows” box, and to get the counts by year I actually drag the same variable, “year” into the “Values” box. Let’s make a bar chart by year for each site We can also make a quick plot to have a look at these data, and use our new ggplot2 skills. There are 6 missing values in the size_mm variable. I particularly like looking at missing data. It is a nice convention: it’s a reminder to others (especially you!). This skimr:: notation is a reminder to me that skim is from the skimr package. # explore data skimr :: skim(lobsters) Table 7.1: Data summary Name 10.6 Interludes (deep thoughts/openscapes).

10.5 Fun facts (quirky things) - making a note of these wherever possible for interest (little “Did you know?” sections).

10.4.2 Attach packages and read in the data.

9.4 Interludes (deep thoughts/openscapes).

9.2.3 Merging data frames with *_join().

9.2.2 filter() to conditionally subset by rows.

8.4.4 Convert between explicit and implicit missings ( NAs).

8.4.3 Combine or separate information in columns with tidyr::unite() and tidyr::separate().

8.4.2 Reshaping with tidyr::pivot_longer() and tidyr::pivot_wider().7.8.1 Knit, push, & show differences on GitHub.

7.8 Oh no, our colleague sent the wrong data!.

3.3.6 Assigning objects with % summarize().

2.3 Guiding principles / recurring themes.