 1628805600

# Remember The Sentence: The correlation is not equal

Anyone working with data must know the difference between correlation and causation. In this video I explain that and also how correlation can be used to mislead.

## Buddha Community  1598516160

## Effective Way To Replace Correlation With Predictive Power Score(PPS)

The strength of a linear relationship between two quantitative variables can be measured using Correlation. It is a statistical method that is very easy in order to calculate and to interpret. It is generally represented by ‘r’ known as the coefficient of correlation.

This is the reason why it is highly misused by professionals because correlation cannot be termed for causation. It is not necessary that if two variables have a correlation then one is dependent on the other and similarly if there is no correlation between two variables it is possible that they might have some relation. This is where PPS(Predictive Power Score) comes into the role.

Predictive Power Score works similar to the coefficient of correlation but has some additional functionalities like:

• It works on both Linear and Non-Linear Relationships
• Can be applied to both Numeric and Categorical columns
• It finds more patterns in the data.

In this article, we will explore how we can use the Predictive Power Score to replace correlation.

#### Implementation:

PPS is an open-source python library so we will install it like any other python library using pip install ppscore.

1. Importing required libraries

We will import ppscore along with pandas to load a dataset that we will work on.

`import ppscore as pps`

`import pandas as pd`

We will be using different datasets to explore different functionalities of PPS. We will first import an advertising dataset of an MNC which contains the target variable as ‘Sales’ and features like ‘TV’, ‘Radio’, etc.

`df = pd.read_csv(‘advertising.csv’)`

`df.head()` 1. Finding Relation using PPScore

We will use some basic functions defined in ppscore.

1. Finding the Relationship score

PP Score lies between 0(No Predictive Power) to 1(perfect predictive power), in this step we will find PPScore/Relationship between the target variable and the featured variable in the given dataset.

`pps.score(df, "Sales", "TV")` #developers corner #coefficient of correlation #correlation analysis #dependency #heatmap #linear regression #replace correlation #visualization

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## Correlation vs Causation: Definition, Examples, and why the difference matters

Let’s dive right in as I review correlation vs causation psychology and describe the main differences between these two common terms Are there any other correlation and causation examples you’d like to hear more about on the Troop Messenger blog Is there correlation vs causation analyses that you’re interested in within the broader realm of digital marketing and search engine optimization Let us know in the comments

#correlation vs causation, causation vs correlation, correlation vs causation examples #correlation 1599641040

## Java String Equals Example | String equals() In Java

In Java, objects of strings are immutable, so that means we cannot once the string is created. Now, if we have two strings and we want to compare them if they are the same or not, then we can use the equals()method.

### Java String Equals Example

Java String equals() method compares the two given strings based on the content of a string.

If any character is not matched, then it returns false and if all characters are matched, it returns true.

1. Java String equals() method overrides an Object class equals() method implementation.
2. Java String is immutable, checking the equality of string to another object should be done using equals() method rather than == operator.
3. String equals() method always returns a boolean value; it doesn’t throw any exceptions.
4. The result of the equals() method is true if and only if an argument is not null, it’s the String object, represents the same sequence of characters as this string.

See the following syntax.

``````string1.equals(string2);
``````

#java #java string equals #equals 1601661070

## What is the difference between = (single equal to) and == (double equal to)?

What is the difference between = (single equal to) and == (double equal to)?

• The = (single equal to) is use to assign the value on the right to a variable
on the left.

• The == (double equal to) is use to compare to two values.

Explained By DDSRY

#difference between #singe equal to #double equal to #python #programming #developer 1628805600

## Remember The Sentence: The correlation is not equal

Anyone working with data must know the difference between correlation and causation. In this video I explain that and also how correlation can be used to mislead.