Raw material outcome
- Description
- Six characterizing measurements for batches of plastic pellets; the outcome when using this material, either Poor or Adequate, is also provided.
- Data source
- Simulated data, made to match an actual problem. Some variable names are coded for confidentiality.
- Lot number: unique identifier used by the company
- Outcome: categorical variable, either Poor or Adequate
- Size5: percentage material in a size range (coded)
- Size10: percentage material in a size range (coded)
- Size15: percentage material in a size range (coded)
- TGA: a measurement from a TGA device
- DSC: measurement from a DSC device
- TMA: a measurement from a TMA device
- Data shape
- 24 rows and 7 columns
- Usage restrictions
- None
- Contact person
- Kevin Dunn
- Contact details
- [email protected]
- Added here on
- 12 January 2011 13:48
- Last updated
- 11 November 2018 16:36
Load this dataset in Python
import pandas as pd
df = pd.read_csv("https://openmv.net/file/raw-material-characterization.csv")
df.describe()