```{r}

Load necessary libraries

library(tidyverse) library(lubridate)

Import data

data <- read_csv("stainless_steel_flat_bar.csv")

Data cleaning and preprocessing

data_cleaned <- data %>% mutate(date = ymd(date)) %>% filter(!is.na(surface_smoothness))

Analysis of surface smoothness

analysis <- data_cleaned %>% group_by(batch_id) %>% summarize(mean_smoothness = mean(surface_smoothness, na.rm = TRUE), sd_smoothness = sd(surface_smoothness, na.rm = TRUE))

Visualization

ggplot(analysis, aes(x = batch_id, y = mean_smoothness)) + geom_point() + labs(title = "Surface Smoothness Analysis of Stainless Steel Flat Bar", x = "Batch ID", y = "Mean Surface Smoothness") + theme_minimal()

print(analysis)

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