Exploratory Data Analysis using Bigquery and Colab Enterprise Reviews

MAURICIO ESTEBAN V. · Reviewed 3 months ago

Vicente d. · Reviewed 3 months ago

Tulip A. · Reviewed 3 months ago

Cristian L. · Reviewed 3 months ago

GABRIEL . C. · Reviewed 3 months ago

NILSON ANDRES P. · Reviewed 3 months ago

TOMAS . M. · Reviewed 3 months ago

SEBASTIAN ANDRES V. · Reviewed 3 months ago

Mistakes/errors in task 5 Subsection: Download a BigQuery Table into a Pandas Dataframe Error: grammatical error in the second sentence from the the given paragraph Subsection: Plot a correlation using Seaborn. Error: Cannot execute, gives following error:"ValueError: could not convert string to float: 'orange'" Subsection: Get the first five rows of the new fields. Error: Shows df2.info() as the command to execute instead of df2.head() as shown in the image

MAXIMILIANO ANGELO P. · Reviewed 3 months ago

BENJAMIN . Z. · Reviewed 3 months ago

VICTOR MANUEL N. · Reviewed 3 months ago

Teodor C. · Reviewed 3 months ago

Alexandru-Sebastian M. · Reviewed 3 months ago

Adam J. · Reviewed 3 months ago

NICOLAS . R. · Reviewed 3 months ago

Nataliia L. · Reviewed 3 months ago

Rishitha G. · Reviewed 3 months ago

Kanchan P. · Reviewed 3 months ago

Jessica R. · Reviewed 3 months ago

Abhinash R. · Reviewed 3 months ago

Stanley S. · Reviewed 3 months ago

Yogesh A. · Reviewed 3 months ago

Done

Swetha M. · Reviewed 3 months ago

The seaborn needed to only grab numbers: print(df.info()) # Get Statistics on the DataFrame print(df.describe()) # Select only numeric columns for correlation numeric_df = df.select_dtypes(include=[np.number]) # Plot a Correlation Heatmap using Seaborn plt.figure(figsize=(10,5)) sns.heatmap(numeric_df.corr(), annot=True, vmin=0, vmax=1, cmap='viridis') plt.show()

Marc N. · Reviewed 3 months ago

Manoj K. · Reviewed 3 months ago