I want to start by summarizing by year, so I first drag the year variable down into the “Rows” box. 10.8 Add an image to your partner’s document.10.5 Make a graph of US commercial fisheries value by species over time with ggplot2. 10.4 Find total annual US value ($) for each salmon subgroup.10.3 Some data cleaning to get salmon landings by species.10.2 Attach packages, read in and explore the data.9.6.6 How do you avoid merge conflicts?.9.6.4 Sync attempts & fixes (Partner 1).9.6.2 Create a conflict (Partners 1 and 2).9.5.5 Clone to a new R Project (Partner 2). 9.5.4 Clone to a new R Project (Partner 1).9.5.3 Give your collaborator privileges (Partner 1 and 2).9.5.2 Create a gh-pages branch (Partner 1).8.5 An HTML table with kable() and kableExtra.8.4.4 filter() and join() in a sequence.8.4.3 inner_join() to merge data frames, only keeping observations with a match in both.8.4.2 left_join(x,y) to merge data frames, keeping everything in the ‘x’ data frame and only matches from the ‘y’ data frame.8.4.1 full_join() to merge data frames, keeping everything.8.4 dplyr::*_join() to merge data frames.8.3.6 stringr::str_detect() to filter by a partial pattern.8.3.5 Activity: combined filter conditions.8.3.4 Filter to return observations that match this AND that.8.3.3 Filter to return rows that match this OR that OR that.8.3.2 Filter rows based on numeric conditions.8.3.1 Filter rows by matching a single character string.8.3 dplyr::filter() to conditionally subset by rows.7.7 stringr::str_replace() to replace a pattern.7.6.2 tidyr::separate() to separate information into multiple columns.
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