Fix Missing Data in Excel Using Python (Fast & Easy)
Missing data can completely ruin your analysis if you don’t handle it properly.
In this video, you’ll learn how to find and fix missing values using Python directly inside Excel. We’ll use simple Python commands to detect blank cells, count missing values, and fill them quickly using a DataFrame.
If you’re an Excel user learning Python, this is one of the most important data cleaning skills to master.
What You’ll Learn
✔️ How to detect missing values in a DataFrame
✔️ What isna() does in Python
✔️ How to count missing values with .sum()
✔️ How to use fillna() inside Excel
✔️ How Python helps clean messy Excel data faster
Excel File
https://bit.ly/3QQxu7j
🧠 Code Used in This Video
df = xl("A1:E13", headers=True)
df
df.isna()
df.isna().sum()
df["Sales"] = df["Sales"].fillna(0)
df
df["Region"] = df["Region"].fillna("Unknown")
df
📺 Next Video
👉 Removing Duplicate Data in Excel Using Python
📌 Series
This video is part of the Python in Excel series where you’ll learn how to:
Clean data
Automate workflows
Use Python directly inside Excel
🔔 Subscribe to Prompt & Process
Learn Excel, Python, SQL, Power BI, AI, and automation with practical tutorials designed for real-world work.
One tool.
One prompt.
One process at a time.
#Excel #Python #PythonInExcel #DataCleaning #DataAnalysis #Pandas #Automation #ExcelTips