# Dual Axis vs Combined Axis in Tableau

## Dual-axis vs Combined Axis| Blended Axis | Shared Axis

In Tableau, there is something interesting like dual-axis and combined axis. I like to explain in detail about dual-axis and combined axis in this article.

Let’s get started.

# Dual Axis

1. Dual Axis contains two axis
2. Two measures are required.
3. One mark card for each axis is created.

# How to create a dual-axis graph?

Dual Axis can be created…

# Tableau Beginners Tutorial

## A Simple Introduction to Tableau.

Tableau is one of the data visualization tool that is used for creating interactive charts , dashboards.

In this article, I have explained some basic components and charts in tableau.

1. Measure and Dimensions
2. Discrete vs Continuous
3. Measure Names vs Measure Values
4. Marks Card
5. Show Me
6. Different types of graphs

1. Install…

# 10 Important Tips for Using Nested Lists in Python

## Reverse, flatten, convert to a dictionary, and more

Python List is one of the most important data structures. Python list can contain sub-list within itself too. That’s called a nested list.

While working with the python nested list, I came across some scenarios. I have shared those in this article. …

# 5 Different Ways to Copy List in Python

## Copying Python List

In this article, I have covered different ways to copy lists in python.

# 1. Assignment Operation

We can copy the list using assignment operation =

`copied_list=original_list`

Both original_list and copied_list will point to the same list object.

# Simple Explanation for Calculating the Number of Parameters in Convolutional Neural Network

## Total number of parameters, output shape in the Convolution layer

In this article, we will go through two important concepts in the convolution layer.

1. How to calculate the number of parameters?
2. How the shape of output is calculated?

First, let’s understand the important terms used in the convolution layer.

# Important terms

## 1. input_shape

input_shape = (batch_size, height, width, depth)
batch_size= number of training examples in…

# Residual Analysis in Linear Regression

Assumptions in Linear regression are about residuals. Let’s learn about residuals and assumptions in linear regression about residuals.

# Residuals:

Residuals in Linear Regression are the difference between the actual value and the predicted value.

# Linear Algebra

1. Essential Math for DataScience —…

# String Operations on Pandas DataFrame

## String Methods

In this article, let's cover the string operations that can be performed on pandas dataframe.

1. Converting to uppercase/lowercase/titlecase — str. upper, str. lower, str. title
2. strip,lstrip, rstrip
3. split
4. replace
5. startswith,endswith, contains

# 1. Converting to uppercase/lowercase/title case

Example 1: Converting strings in a column in pandas dataframe to uppercase

`s1=pd.read_csv("s1.csv")s1.head()`

# 5 Different Ways to Sort Python Dictionary

## sorted() function

There are many ways to sort a python dictionary. Let’s look at 5 different ways to sort a python dictionary in this article.

1. Using sorted() function

2. Sorting using reverse parameter

3. Sorting using the key parameter

4.Using sorted function in a dictionary comprehension

5. Using Counter

# 1. Using sorted() function

sorted() function is… ## Indhumathy Chelliah

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