Ames Housing Dataset VisualizationΒΆ

  • Target distribution
  • Continuous Feature vs Target, F=5.18E+03, F=2.92E+03, F=2.12E+03, F=2.04E+03, F=1.95E+03, F=1.84E+03, F=1.33E+03, F=1.16E+03, F=1.03E+03, F=1.01E+03
  • Categorical Feature vs Target, F=5.77E-01, F=3.75E-01, F=3.33E-01, F=3.31E-01, F=2.98E-01, F=2.77E-01, F=2.65E-01, F=2.45E-01, F=2.32E-01, F=2.25E-01

Out:

/home/circleci/project/dabl/plot/supervised.py:538: FutureWarning: The second positional argument of plot is a Series 'y'. If passing a column name, use a keyword.
  warnings.warn("The second positional argument of plot is a Series 'y'."
/home/circleci/project/dabl/preprocessing.py:351: UserWarning: Discarding near-constant features: ['Street', 'Utilities', 'Land Slope', 'Condition 2', 'Roof Matl', 'Heating', 'Low Qual Fin SF', 'Kitchen AbvGr', 'Garage Cond', '3Ssn Porch', 'Pool Area', 'Misc Val']
  warn("Discarding near-constant features: {}".format(
Target looks like regression
Showing only top 10 of 26 continuous features
/home/circleci/project/dabl/plot/utils.py:629: UserWarning: Dropped 5 outliers in column Gr Liv Area.
  warn("Dropped {} outliers in column {}.".format(
/home/circleci/project/dabl/plot/utils.py:629: UserWarning: Dropped 1 outliers in column Garage Cars.
  warn("Dropped {} outliers in column {}.".format(
/home/circleci/project/dabl/plot/utils.py:629: UserWarning: Dropped 2 outliers in column Total Bsmt SF.
  warn("Dropped {} outliers in column {}.".format(
/home/circleci/project/dabl/plot/utils.py:629: UserWarning: Dropped 4 outliers in column 1st Flr SF.
  warn("Dropped {} outliers in column {}.".format(
/home/circleci/project/dabl/plot/utils.py:629: UserWarning: Dropped 1 outliers in column Garage Yr Blt.
  warn("Dropped {} outliers in column {}.".format(
/home/circleci/project/dabl/plot/utils.py:629: UserWarning: Dropped 7 outliers in column Mas Vnr Area.
  warn("Dropped {} outliers in column {}.".format(
Showing only top 10 of 42 categorical features
/home/circleci/project/dabl/plot/utils.py:371: UserWarning: FixedFormatter should only be used together with FixedLocator
  ax.set_xticklabels(
/home/circleci/project/dabl/plot/utils.py:371: UserWarning: FixedFormatter should only be used together with FixedLocator
  ax.set_xticklabels(
/home/circleci/project/dabl/plot/utils.py:371: UserWarning: FixedFormatter should only be used together with FixedLocator
  ax.set_xticklabels(
/home/circleci/project/dabl/plot/utils.py:371: UserWarning: FixedFormatter should only be used together with FixedLocator
  ax.set_xticklabels(
/home/circleci/project/dabl/plot/utils.py:371: UserWarning: FixedFormatter should only be used together with FixedLocator
  ax.set_xticklabels(
/home/circleci/project/dabl/plot/utils.py:371: UserWarning: FixedFormatter should only be used together with FixedLocator
  ax.set_xticklabels(
/home/circleci/project/dabl/plot/utils.py:371: UserWarning: FixedFormatter should only be used together with FixedLocator
  ax.set_xticklabels(
/home/circleci/project/dabl/plot/utils.py:371: UserWarning: FixedFormatter should only be used together with FixedLocator
  ax.set_xticklabels(
/home/circleci/project/dabl/plot/utils.py:371: UserWarning: FixedFormatter should only be used together with FixedLocator
  ax.set_xticklabels(
/home/circleci/project/dabl/plot/utils.py:371: UserWarning: FixedFormatter should only be used together with FixedLocator
  ax.set_xticklabels(

# sphinx_gallery_thumbnail_number = 3
from dabl import plot
from dabl.datasets import load_ames
import matplotlib.pyplot as plt

# load the ames housing dataset
# returns a plain dataframe
data = load_ames()

plot(data, 'SalePrice')
plt.show()

Total running time of the script: ( 0 minutes 3.854 seconds)

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