Course Content

# Analyzing and Visualizing Real-World Data

2. Preprocessing Data: Part II

Analyzing and Visualizing Real-World Data

## Does Temperature Affect?

As we saw in the previous chapter, the majority of the points lay uniformly, unlike several points on the top left part (high income, but low temperature). Let's find out what these points are.

# Task

- Filter the data in the
`df`

DataFrame, so that the following conditions are satisfied:`'Store'`

must be one of the values in the`top_stores`

list;`'Temperature'`

must be greater than or equal to`-10`

;`'Temperature'`

must be less than or equal to`10`

;`'Weekly_Sales'`

must be greater than or equal to`3000000`

;- Save the obtained result within the
`data`

variable.

- Initialize a scatter plot with
`'Temperature'`

values on the x-axis, and`'Weekly_Sales'`

on the y-axis, using the`data`

DataFrame.

Everything was clear?

Section 4. Chapter 4

Course Content

# Analyzing and Visualizing Real-World Data

2. Preprocessing Data: Part II

Analyzing and Visualizing Real-World Data

## Does Temperature Affect?

As we saw in the previous chapter, the majority of the points lay uniformly, unlike several points on the top left part (high income, but low temperature). Let's find out what these points are.

# Task

- Filter the data in the
`df`

DataFrame, so that the following conditions are satisfied:`'Store'`

must be one of the values in the`top_stores`

list;`'Temperature'`

must be greater than or equal to`-10`

;`'Temperature'`

must be less than or equal to`10`

;`'Weekly_Sales'`

must be greater than or equal to`3000000`

;- Save the obtained result within the
`data`

variable.

- Initialize a scatter plot with
`'Temperature'`

values on the x-axis, and`'Weekly_Sales'`

on the y-axis, using the`data`

DataFrame.

Everything was clear?

Section 4. Chapter 4