Debugging R script for deploying smart contract analytics on Ethereum
I've searched everywhere and can't find a clear answer. I'm sure I'm missing something obvious here, but During development of a blockchain analytics tool, I integrated R for data processing and visualization. The goal is to analyze smart contract transactions on the Ethereum blockchain. However, I hit a snag while trying to plot transaction volumes over time. The script uses `ggplot2` for visualization, but the output is not what I expect. Here's the relevant code snippet: ```r library(ggplot2) library(dplyr) library(lubridate) # Sample data frame with transaction timestamps and volumes eth_data <- data.frame( timestamp = as.POSIXct(c('2023-01-01 00:00', '2023-01-01 01:00', '2023-01-01 02:00', '2023-01-01 03:00')), volume = c(100, 150, 200, 50) ) # Attempt to aggregate volumes by hour eth_agg <- eth_data %>% group_by(hour = floor_date(timestamp, unit = 'hour')) %>% summarise(total_volume = sum(volume)) # Plotting the aggregated data ggplot(eth_agg, aes(x = hour, y = total_volume)) + geom_line() + labs(title = 'Ethereum Transaction Volume Over Time', x = 'Hour', y = 'Total Volume') ``` The plot shows a flat line instead of the expected values. I've verified that the data is correctly aggregated, and if I print `eth_agg`, the output looks accurate. However, the line plot does not reflect the data properly. Additionally, I've tried several adjustments, such as modifying the `aes()` to explicitly define `x` and `y`, and even experimented with `geom_col()` instead of `geom_line()`, but nothing seems to fix the issue. Could it be a problem with the date-time handling or the plotting function itself? Any insights on common pitfalls or debugging strategies for `ggplot2` in this context would be greatly appreciated. My development environment is Linux. Thanks in advance! My development environment is Windows. I'd really appreciate any guidance on this.