Please help me with this, can you also comment the code for my better understanding. As for part $1,$the three dataset is from $,$FRED organization $,$yahoo finance data, and Bloomberg market. You have to got their website and download the dataset and merge it for the first part and Use the same three datasets you selected in to $.$

$2.$ Write a Python Function: Create a function that:

$-$ Inputs: Takes paths to your three datasets.

$-$ Processes: Merges these datasets into a single data file.

$-$ Outputs: Saves the merged file for later use in analysis.. As for part $2$ :

Write a Data Cleaning Function: Create a Python function that:

$-$ Inputs: Accepts the path to the unzipped data file.

$-$ Cleans: Corrects issues such as:

$-$ Duplicate rows

$-$ Inconsistent or missing data in categorical fields

$-$ Merge the two files meaningfully, justifying your reasons for the merge

$-$ Outputs: Saves a cleaned version of the dataset in the same directory as your script.

$3.$ Console Output: Ensure your function:

$-$ Prints the number of features and observations before and after cleaning

The data set for part is rotten$-$tomatoes$-$movies$-$and$-$critic$-$reviews$-$dataset$/$data this.