# Data Processing

## Signal Processing - Filtering

### Low-Pass

### High-Pass

### Band-Pass

## Data Filtering



## 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