Data Profiling and Exploration
Use the Column Profiler in Power Query to assess the bicycle dataset and identify potential errors, required transformations, and overall data quality issues. The Column Profiler offers detailed insights such as value distribution, data quality, and summary statistics.
By reviewing these metrics, you can detect problems like duplicate or missing values, better understand data distribution, and determine which transformations are needed to clean and prepare the dataset for analysis.
Thanks for your feedback!
Ask AI
Ask AI
Ask anything or try one of the suggested questions to begin our chat
What are the main data quality issues identified in the bicycle dataset?
How can I use the Column Profiler to find and fix misspelled values?
What steps should I take to handle missing or duplicate values in Power Query?
Awesome!
Completion rate improved to 3.7Data Profiling and Exploration
Swipe to show menu
Use the Column Profiler in Power Query to assess the bicycle dataset and identify potential errors, required transformations, and overall data quality issues. The Column Profiler offers detailed insights such as value distribution, data quality, and summary statistics.
By reviewing these metrics, you can detect problems like duplicate or missing values, better understand data distribution, and determine which transformations are needed to clean and prepare the dataset for analysis.
Thanks for your feedback!
