Crash Course
The Shape of Data Distributions - Crash Course Statistics
When collecting data to make observations about the world it usually just isn't possible to collect ALL THE DATA. So instead of asking every single person about student loan debt for instance we take a sample of the population, and then...
Crash Course
Plots, Outliers, and Justin Timberlake Data Visualization Part 2 - Crash Course Statistics
Today we’re going to finish up our unit on data visualization by taking a closer look at how dot plots, box plots, and stem and leaf plots represent data. We’ll also talk about the rules we can use to identify outliers and apply our new...
Curated Video
Ultimate Tableau Desktop Course - Beginner to Advanced Bundle - Histograms and Whisker Plots
Let's learn about a chart that is instantly recognizable to data scientists and statisticians: the distribution chart.
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Plotting with Pandas
In this video, you will learn how to plot with Pandas. This clip is from the chapter "Pandas" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will talk about Pandas.
Curated Video
Comparing Range on Double Box Plots
In this video, the teacher explains how to find the difference in the range of data for two different stores using a double box plot. They define range as the difference between the minimum and maximum values in a dataset. This video...
R Programming 101
Ggplot - using geometries
If you're using R programming for data visualization then you're going to love this video. Creating plots and graphs using ggplot2 couldn't be easier. Ggplot using a concept called geoms (or geometries) to determine the type of plot that...
R Programming 101
Advanced ggplot (episode #1)
If you are doing data visualisation with ggplot the you'll find this video useful. ggplot2 is one of the tidyverse packages and is used to create graphs and plots. Data visualization is an important part of both understanding and...
Curated Video
R Programming for Statistics and Data Science - Building a Box and Whiskers Plot with ggplot2
This video explains building a box and whiskers plot with ggplot2. This clip is from the chapter "Visualizing Data" of the series "R Programming for Statistics and Data Science".This section explains visualizing data.
APMonitor
Polymer MFR Regression
Polymer properties such as density, melt index, and melt flow rate must be kept within tight specifications for each grade. This case study is to analyze polymer production data to predict melt flow rate. 0:00 Introduction to Polymer...
Curated Video
Comparing Data Sets Using Comparative Box Plots
In this video, the teacher explains how to compare two data sets using comparative box plots. They discuss the elements of a box plot, such as the minimum, maximum, median, lower quartile, upper quartile, and interquartile range. The...
APMonitor
Visualization Case Study: Concrete Strength
Concrete mixtures have several variations. This data set is a case study for data visualization and exploration to predict the concrete compressive strength (MPa). 0:00 Introduction 0:20 Concrete Case Study 1:52 Jupyter Notebook Source...
Curated Video
Data Science and Machine Learning with R - Exploratory Data Analysis Introduction
This video gives an introduction to exploratory data analysis. This clip is from the chapter "Exploratory Data Analysis" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains...
APMonitor
Data Science 🐍 Prepare Data
Much of data science and machine learning work is getting clean data into the correct form. This may include data cleansing to remove outliers or bad information, scaling for machine learning algorithms, splitting into train and test...
R Programming 101
How to draw a line graph using ggplot with R programming. Plots and graphs to visualize data.
If you want to use R programming to create plots and graphs using the ggplot package, then watch this video. In this video, I'll go though how to visualize two numeric variables and one categoric variable using line graphs and faceting...
APMonitor
Data Visualization in Python
Data visualization and exploration is one of the first steps in machine learning after the data is gathered and statistically summarized. It is used to graphically represent data to qualitatively understand relationships and data...
Curated Video
Learning R for Data Visualization (Video 24)
R is on the rise and showing itself as a powerful option in many software development domains. At its core, R is a statistical programming language that provides impressive tools for data mining and analysis, creating high-level...
R Programming 101
R programming in one hour - A crash course for beginners
R programming is easy. In this video, I'll walk you though how to clean your data; how to manipulate (or wrangle) your data; how to summarize your data; how to create tables and describe your data; how to visualize your data using ggplot...
Curated Video
Learning R for Data Visualization (Video 7)
R is on the rise and showing itself as a powerful option in many software development domains. At its core, R is a statistical programming language that provides impressive tools for data mining and analysis, creating high-level...
APMonitor
Detect Steel Plate Defects with ML
Steel plate defects are extracted from photos of several faulty steel plates with surface imperfections. Image analysis revealed 27 different features to describe the steel fault. A total of 6 unique types of faults are categorized, with...
R Programming 101
Ggplot for plots and graphs. An introduction to data visualization using R programming
Using ggplot and ggplot2 to create plots and graphs is easy. This video provides an easy to follow lesson on how to use R programming to do excellent data visualisation. If you want to learn how to work with data and do quantitative...
Curated Video
Choosing the Appropriate Graphical Representation for Data
In this video, the teacher explains how to choose the appropriate graph to represent data by analyzing its advantages and considering the specific data set. They discuss the advantages of dot plots, histograms, and box plots, and...
Curated Video
Julia for Data Science (Video 19)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine performance...
Curated Video
Learning R for Data Visualization (Video 8)
R is on the rise and showing itself as a powerful option in many software development domains. At its core, R is a statistical programming language that provides impressive tools for data mining and analysis, creating high-level...