Batch yield and purity
- Description
- The two columns in the data set are:
- the percentage yield from a batch reactor, and
- the purity of the feedstock.
The feedstock is what we add to the reactor, and the yield is measured after the reaction is completed.
The cause-and-effect direction is that the purity of the feedstock has (potential) impact on the yield.
- Data source
- Simulated data
- Data shape
- 241 rows and 2 columns
- Usage restrictions
- None
- Contact person
- Kevin Dunn
- Contact details
- [email protected]
- Added here on
- 09 January 2011 8:48
- Last updated
- 12 November 2018 17:56
Load this dataset in Python
import pandas as pd
df = pd.read_csv("https://openmv.net/file/batch-yield-and-purity.csv")
df.describe()