Exploratory Data Analysis using Bigquery and Colab Enterprise Reviews

SEBASTIAN ANDRES V. · Reviewed 3 ay 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 ay ago

BENJAMIN . Z. · Reviewed 3 ay ago

VICTOR MANUEL N. · Reviewed 3 ay ago

Teodor C. · Reviewed 3 ay ago

Alexandru-Sebastian M. · Reviewed 3 ay ago

Adam J. · Reviewed 3 ay ago

NICOLAS . R. · Reviewed 3 ay ago

Nataliia L. · Reviewed 3 ay ago

Rishitha G. · Reviewed 3 ay ago

Kanchan P. · Reviewed 3 ay ago

Jessica R. · Reviewed 3 ay ago

Abhinash R. · Reviewed 3 ay ago

Stanley S. · Reviewed 3 ay ago

Yogesh A. · Reviewed 3 ay ago

Done

Swetha M. · Reviewed 3 ay 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 ay ago

Manoj K. · Reviewed 3 ay ago

Sowmya T. · Reviewed 3 ay ago

Nice

Seshadri H. · Reviewed 3 ay ago

Poonam L. · Reviewed 3 ay ago

Juan M. · Reviewed 3 ay ago

test

Nayana K. · Reviewed 3 ay ago

Ayan G. · Reviewed 3 ay ago

MANUEL . C. · Reviewed 3 ay ago