Difficulty filtering data with `dplyr` using multiple conditions in R 4.3.1
I'm dealing with Hey everyone, I'm running into an issue that's driving me crazy... I'm a bit lost with I've hit a wall trying to I'm stuck trying to I've searched everywhere and can't find a clear answer. I'm trying to filter a data frame using multiple conditions with `dplyr`, but I'm running into unexpected results. I have a data frame `df` containing sales data with columns `Product`, `Sales`, and `Region`. I'm trying to filter the data to only include sales greater than 1000 for products in either the 'North' or 'South' regions. However, I'm not seeing the expected output. Here's what I've tried: ```r library(dplyr) df <- data.frame(Product = c('A', 'B', 'C', 'D', 'E'), Sales = c(1500, 800, 1200, 600, 2500), Region = c('North', 'South', 'North', 'East', 'South')) filtered_df <- df %>% filter(Sales > 1000 & (Region == 'North' | Region == 'South')) ``` When I run this code, I expect to see rows for products 'A' and 'C' as they meet the sales condition in the 'North' region, and 'E' in the 'South' region. However, I receive a data frame that does not include 'C'. The output I get is: ``` Product Sales Region 1 A 1500 North 2 E 2500 South ``` I’ve verified that 'C' has sales greater than 1000 and is in the 'North' region, yet it is missing from the results. I've also tried using `filter` with `|` instead of `&`, but that does not yield correct results either. Could this be related to how `dplyr` handles logical operations, or is there a mistake in my filtering logic? How can I ensure that the filtering criteria are applied correctly? I'm working on a service that needs to handle this. What am I doing wrong? I'm using R 3.11 in this project. I'd be grateful for any help. Any ideas how to fix this? I'm working on a web app that needs to handle this.