Exploratory Data Analysis using Bigquery and Colab Enterprise Reviews

VICTOR MANUEL N. · Reviewed 4 months ago

Teodor C. · Reviewed 4 months ago

Alexandru-Sebastian M. · Reviewed 4 months ago

Adam J. · Reviewed 4 months ago

NICOLAS . R. · Reviewed 5 months ago

Nataliia L. · Reviewed 5 months ago

Rishitha G. · Reviewed 5 months ago

Kanchan P. · Reviewed 5 months ago

Jessica R. · Reviewed 5 months ago

Abhinash R. · Reviewed 5 months ago

Stanley S. · Reviewed 5 months ago

Yogesh A. · Reviewed 5 months ago

Done

Swetha M. · Reviewed 5 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 5 months ago

Manoj K. · Reviewed 5 months ago

Sowmya T. · Reviewed 5 months ago

Nice

Seshadri H. · Reviewed 5 months ago

Poonam L. · Reviewed 5 months ago

Juan M. · Reviewed 5 months ago

test

Nayana K. · Reviewed 5 months ago

Ayan G. · Reviewed 5 months ago

MANUEL . C. · Reviewed 5 months ago

FELIPE IGNACIO G. · Reviewed 5 months ago

MARCELO ANDRES H. · Reviewed 5 months ago

JIMMY . R. · Reviewed 5 months ago