Batch yields

Description
The historical percentage yields from a batch reactor for 300 sequential batches.
Data source
Then conditions were changed to try improve the yield by running 10 new batches, and these yields were recorded: \([83.5, 78.9, 82.7, 93.2, 86.3, 74.7, 81.6, 92.4, 83.6, 72.4]\). These values are not included in the downloadable dataset.

The 300 yield values may be used to create a historical reference set of typical variation, allowing one to compare whether the 10 new batches actually led to a significant improvement.

Simulated data in R: N <- 300 phi <- -0.3 spread <- 6.7 location <- 79.9 y <- numeric(N) # create a vector of zeros for (k in 2:N) { y[k] <- phi*y[k-1] + rnorm(1, mean=0, sd=spread) } y <- y + location

Data shape
300 rows and 1 columns
Usage restrictions
None
Contact person
Kevin Dunn
Contact details
[email protected]
Added here on
02 January 2011 19:55
Last updated
11 November 2018 16:30

Load this dataset in Python

import pandas as pd

df = pd.read_csv("https://openmv.net/file/batch-yields.csv")
df.describe()

Preview (first 10 rows)

Yield
79.9
70.3
85.6
84.9
78.3
76
89.6
81.2
72.7
78.7