What are trend lines in tableau Explain with example

This recipe explains what are trend lines in tableau This recipe explains them with example

Recipe Objective - What are Trend Lines in Tableau? Explain with example.

A Trend line in tableau is used to predict trends in data. The trend line is also used to identify the correlation between the two variables by observing trends. Trend Line has four options in tableau: Linear, Logarithmic, Exponential Power, or Polynomial model types.

Apply Machine Learning to Demand Forecasting Data Science Problems

Steps to create Trend Line.

Step 1 > Connect the "NFL Offensive Player stats, 1999-2013.xlsx" data set.

Step 2 > Drag the "Year" dimension and drop it onto the column shelf.

Step 3 > Drag the "College losses" measure and drop it onto the row shelf.

Step 4 > In the Marks card, the bar is selected.

Step 5 > Under the analytics window, add the Trend line in visualization.

Our Visualization with Trend Line is Ready!

What Users are saying..

profile image

Abhinav Agarwal

Graduate Student at Northwestern University
linkedin profile url

I come from Northwestern University, which is ranked 9th in the US. Although the high-quality academics at school taught me all the basics I needed, obtaining practical experience was a challenge.... Read More

Relevant Projects

BERT Text Classification using DistilBERT and ALBERT Models
This Project Explains how to perform Text Classification using ALBERT and DistilBERT

ML Model Deployment on AWS for Customer Churn Prediction
MLOps Project-Deploy Machine Learning Model to Production Python on AWS for Customer Churn Prediction

Learn to Build a Neural network from Scratch using NumPy
In this deep learning project, you will learn to build a neural network from scratch using NumPy

NLP and Deep Learning For Fake News Classification in Python
In this project you will use Python to implement various machine learning methods( RNN, LSTM, GRU) for fake news classification.

Isolation Forest Model and LOF for Anomaly Detection in Python
Credit Card Fraud Detection Project - Build an Isolation Forest Model and Local Outlier Factor (LOF) in Python to identify fraudulent credit card transactions.

MLOps Project to Build Search Relevancy Algorithm with SBERT
In this MLOps SBERT project you will learn to build and deploy an accurate and scalable search algorithm on AWS using SBERT and ANNOY to enhance search relevancy in news articles.

End-to-End Speech Emotion Recognition Project using ANN
Speech Emotion Recognition using RAVDESS Audio Dataset - Build an Artificial Neural Network Model to Classify Audio Data into various Emotions like Sad, Happy, Angry, and Neutral

Learn to Build an End-to-End Machine Learning Pipeline - Part 1
In this Machine Learning Project, you will learn how to build an end-to-end machine learning pipeline for predicting truck delays, addressing a major challenge in the logistics industry.

Loan Eligibility Prediction using Gradient Boosting Classifier
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.

Azure Text Analytics for Medical Search Engine Deployment
Microsoft Azure Project - Use Azure text analytics cognitive service to deploy a machine learning model into Azure Databricks