Bozeman Science
Graphing Data by Spreadsheet
Paul Andersen shows you how to graph data by hand. He explains the required elements of a scatter plot with a best fit line. He shows you how to properly scale and label the axes.
Crash Course
Correlation Doesn’t Equal Causation - Crash Course Statistics
Today we’re going to talk about data relationships and what we can learn from them. We’ll focus on correlation, which is a measure of how two variables move together, and we’ll also introduce some useful statistical terms you’ve probably...
Bozeman Science
A Beginner's Guide to Graphing Data
Paul Andersen explains how graphs are used to visually display data that is collected in experimentation. He describes five main types of graphs; line graph, scatter plot, bar graph, histogram and pie chart. He describes the important...
Bozeman Science
Graphing Data by Hand
Paul Andersen shows you how to graph data by hand. He explains the required elements of a scatter plot with a best fit line. He shows you how to properly scale and label the axes.
Bozeman Science
Practice 4 - Analyzing and Interpreting Data
Paul Andersen explains how scientists analyze and interpret data. Data can be organized in a table and displayed using a graph. Students should learn how to present and evaluate data.
Curated Video
Ultimate Tableau Desktop Course - Beginner to Advanced Bundle - Exercise 3
In this exercise, we will create a dashboard with an animated bar chart and scatter plot.
Curated Video
Ultimate Tableau Desktop Course - Beginner to Advanced Bundle - Marketing Dashboard Part 2
This is a continuation of the previous lesson on creating a dashboard, including the marketing information from campaigns collected in part 1.
Curated Video
Ultimate Tableau Desktop Course - Beginner to Advanced Bundle - Marketing Dashboard Part 1
In this video, we will use the marketing dataset, which contains customer information response to their campaigns and the category of the channel that they usually purchase from.
Curated Video
Ultimate Tableau Desktop Course - Beginner to Advanced Bundle - Animating Your Visualization
In this video, you will learn about animating visualizations. You will learn to use the pre-attentive attribute of motion to make users understand the date of an underlying visualization.
Curated Video
Ultimate Tableau Desktop Course - Beginner to Advanced Bundle - Scatter Plot and Correlation Matrix
Here, we will understand correlation, the statistical method of finding relationships between two or more variables, and create a scatter plot.
Curated Video
Ultimate Tableau Desktop Course - Beginner to Advanced Bundle - Creating a New View
In this video, you will learn how to create a view for answering the data visualization and develop a new view.
Curated Video
Deep Learning - Crash Course 2023 - Plotting with Matplotlib
In this video, we will understand the most popular plotting library in Python called Matplotlib and learn about plotting. This clip is from the chapter "Python for Data Science - Crash Course" of the series "Deep Learning - Crash Course...
Curated Video
Deep Learning - Computer Vision for Beginners Using PyTorch - Plot Formatting and Scatter Plot
In this video, we will cover plot formatting and scatter plot. This clip is from the chapter "Optional Learning - Python for Data Science - with Matplotlib" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In...
Curated Video
Deep Learning - Computer Vision for Beginners Using PyTorch - Format the Plot
In this video, you will learn how to format our Matplotlib plot. This clip is from the chapter "Optional Learning - Python for Data Science - with Matplotlib" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Where to Learn More Matplotlib
In this video, we will understand from where we can learn more about Matplotlib. This clip is from the chapter "Matplotlib" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Scatterplot
In this video, you will learn about a scatterplot. This clip is from the chapter "Matplotlib" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will talk about Matplotlib.
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Matplotlib Section Introduction
In this video, we will have a quick overview of Matplotlib that is used to visualize data and see what we are going to cover in this section. This clip is from the chapter "Matplotlib" of the series "Data Science Prerequisites - NumPy,...
Curated Video
Scatter Graphs Line of Best Fit
This video explains how to draw a line of best fit on a scatter graph. Practice question at the end of the end of the video.
Curated Video
Scatter Graphs Introduction
This video explains what a scatter graph/plot is and how to plot them. A practice question is provided at the end of the video.
Curated Video
How to Interpret a Scatter Plot
In this math video we will learn how to interpret a scatter plot. We will review how to read a scatter plot and identify data points. We will determine the relationship between x and y axis and specific points. We define an outlier as a...
Curated Video
Microsoft Excel 2021365 - Beginner to Advanced - Adding a Dynamic Series to a Pivot Chart
In this video, you will learn how to add a dynamic series to a pivot chart.
Curated Video
Scatter Plots
“Scatter Plots” will explain how to construct a scatter plot and use it to predict values.
Curated Video
Interpret and Predict with a Line of Fit
In this video, a teacher explains how to interpret and predict using a line of best fit on a scatter plot. They use a real-world example of a basketball team's practice hours and points scored to demonstrate how to find the Y intercept,...
Curated Video
Types of Relationships in Scatter Plots
In this video lesson, the teacher explains scatter plots and how they are used to show the relationship between two sets of data. They cover different types of relationships, including linear and nonlinear, and how to interpret the data...