From 7d3c61d4112658f9956b7d730aca22ff9d3c98b0 Mon Sep 17 00:00:00 2001
From: Christian Kolset <christian.kolset@gmail.com>
Date: Fri, 29 Aug 2025 15:17:38 -0600
Subject: Added content

---
 tutorials/module_4/2_data_processing.md | 28 +++++++++++++++++++++++++---
 1 file changed, 25 insertions(+), 3 deletions(-)

(limited to 'tutorials/module_4/2_data_processing.md')

diff --git a/tutorials/module_4/2_data_processing.md b/tutorials/module_4/2_data_processing.md
index f969b2d..d75c35a 100644
--- a/tutorials/module_4/2_data_processing.md
+++ b/tutorials/module_4/2_data_processing.md
@@ -3,15 +3,37 @@
 ^7b1480
 
 
-## Data Cleaning and Filtering
+## Signal Processing - Filtering
 
+### Low-Pass
 
+### High-Pass
 
+### Band-Pass
 
+## Data Filtering
 
 
 
----
-## Reading & Writing Files
+## Data Cleaning
 
 
+### Empty Cells
+
+Remove data point - `df.dropna()`
+Replace data point - `fillna(130, inplace = True)`
+We can use this to replace each data point with mean, median or mode - 
+```python
+x = df["Calories"].mean()
+df.fillna({"Calories": x}, inplace=True)
+```
+
+
+
+### 
+
+
+
+Example
+https://www.w3schools.com/python/pandas/pandas_cleaning.asp
+
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