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https://github.com/mastermindromii/diwali-sales-analysis

Welcome to the Diwali Sales Data EDA project! On my first day of practicing Exploratory Data Analysis (EDA) in data science, I embarked on an exciting journey with the Diwali Sales Data. In this repository, we delve into the intricate world of EDA, where raw data is meticulously transformed into clean, analytical datasets.
https://github.com/mastermindromii/diwali-sales-analysis

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Welcome to the Diwali Sales Data EDA project! On my first day of practicing Exploratory Data Analysis (EDA) in data science, I embarked on an exciting journey with the Diwali Sales Data. In this repository, we delve into the intricate world of EDA, where raw data is meticulously transformed into clean, analytical datasets.

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README 

        
# Exploratory_Data_Analysis

"On my first day practicing EDA (Exploratory Data Analysis) in data science, I found myself in an essential data science repository. Here, raw data is meticulously transformed into clean, analytical datasets, setting the stage for a transformative journey in the world of data science. With enthusiasm and curiosity, I dove into the data, ready to apply machine learning algorithms to build and refine data models. This marked a significant and progressive step in my data science journey, where I eagerly embraced the opportunity to explore, analyze, and draw insights from the wealth of information at my fingertips.



However, it wasn't all smooth sailing on my first day. I encountered my fair share of challenges and, in the spirit of transparency, documented the errors I faced in this README file. These errors are a testament to the learning process, and I am committed to overcoming them as I continue to grow in the field of data science."



ERROR I FACED-



1. i input that command "Sales=pd.read_csv("C:\Users\Dell\Desktop\75 Day\Diwali Sales Data.csv" , encoding='unicode_escape')" and i get this error " Cell In[13], line 1

    Sales=pd.read_csv("C:\Users\Dell\Desktop\75 Day\Diwali Sales Data.csv" , encoding='unicode_escape')

                                                                           ^

SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in position 2-3: truncated \UXXXXXXXX escape"



REASON- The error you're encountering is due to the use of backslashes in the file path. In Python, backslashes are used as escape characters, and when you use them in a string, like a file path, you may encounter this error.



SOLUTION- 

1. Use Double Backslashes: You can escape the backslashes by using double backslashes in your file path:

Sales = pd.read_csv("C:\\Users\\Dell\\Desktop\\75 Day\\Diwali Sales Data.csv", encoding='unicode_escape')



2. Use a Raw String:

You can also use a raw string by prefixing the string with 'r'. This will treat the string as a raw string and won't interpret escape characters:

Sales = pd.read_csv(r"C:\Users\Dell\Desktop\75 Day\Diwali Sales Data.csv", encoding='unicode_escape')



2. i tried to copy "Fill_Amount=Copy(Sales)" and get an error of "---------------------------------------------------------------------------

NameError                                 Traceback (most recent call last)

Cell In[17], line 1

----> 1 Fill_Amount=Copy(Sales)



NameError: name 'Copy' is not defined"



REASON- The error you're encountering, NameError: name 'Copy' is not defined, occurs because you are trying to use the Copy function without importing it from the appropriate module. 



Solution- # Use the copy() method to create a copy of the 'Sales' DataFrame

Fill_Amount = Sales.copy()