Introduction

This report contains an analysis of diameter measurements collected from a sample of manufactured parts.

Loading the Data

The data was imported directly from the provided GitHub URL.

diameter <- read.csv(
  "https://raw.githubusercontent.com/tmatis12/datafiles/main/diameter.csv"
)

head(diameter)
##   Diameter
## 1   10.261
## 2   10.031
## 3   10.203
## 4   10.245
## 5   10.389
## 6    9.803

Data Summary

The following output provides a summary of the diameter measurements.

summary(diameter)
##     Diameter     
##  Min.   : 9.633  
##  1st Qu.:10.028  
##  Median :10.191  
##  Mean   :10.170  
##  3rd Qu.:10.335  
##  Max.   :10.662

Observations

The diameter values appear to be clustered within a relatively narrow range. Additional analysis could be performed to evaluate process consistency and variation.

Histogram of Diameter Measurements

The distribution of the measurements is shown below.

hist(
  diameter[,1],
  main = "Histogram of Diameter Measurements",
  xlab = "Diameter"
)

Discussion

The histogram provides a visual representation of the spread of the sampled diameters. Most observations appear to be concentrated near the center of the distribution.

Conclusion

The diameter data was successfully imported, summarized, and visualized. The sample provides useful information about the dimensions of the manufactured parts.