关于“Exploratory Data Analysis using Bigquery and Colab Enterprise”的评价
302 条评价
SEBASTIAN ANDRES V. · 已于 3 months前审核
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. · 已于 3 months前审核
BENJAMIN . Z. · 已于 3 months前审核
VICTOR MANUEL N. · 已于 3 months前审核
Teodor C. · 已于 3 months前审核
Alexandru-Sebastian M. · 已于 3 months前审核
Adam J. · 已于 3 months前审核
NICOLAS . R. · 已于 3 months前审核
Nataliia L. · 已于 3 months前审核
Rishitha G. · 已于 3 months前审核
Kanchan P. · 已于 3 months前审核
Jessica R. · 已于 3 months前审核
Abhinash R. · 已于 3 months前审核
Stanley S. · 已于 3 months前审核
Yogesh A. · 已于 3 months前审核
Done
Swetha M. · 已于 3 months前审核
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. · 已于 3 months前审核
Manoj K. · 已于 3 months前审核
Sowmya T. · 已于 3 months前审核
Nice
Seshadri H. · 已于 3 months前审核
Poonam L. · 已于 3 months前审核
Juan M. · 已于 3 months前审核
test
Nayana K. · 已于 3 months前审核
Ayan G. · 已于 3 months前审核
MANUEL . C. · 已于 3 months前审核
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