Mosaic plot

Subplots using Plotly for Python

In this tutorial I describe the all important process of creating more than one plot in a single figure. Plots can be placed on a grid specified by row and column size. Even these, though, can be scaled. I also show you how to scare axes and how to create odd pairings. Jupyter notebook

From playlist Data viz using Plotly for Python

Scatter plots using Plotly for Python

In this tutorial on Plotly for Python I take a look at scatter plots. They are very useful charts and plot pairs of values for two variables. Plotly actually makes is quite easy to introduce a third and even a fourth variable onto the 2D plane of a figure. Jupyter notebook files are ava

From playlist Data viz using Plotly for Python

Statistics - Making a scatter plot

This video will show you how to make a simple scatter plot. Remember to put your independent variable along the x-axis, and you dependent variable along the y-axis. For more videos please visit http://www.mysecretmathtutor.com

From playlist Statistics

SCATTERPLOTS: Visualize Relationships Between Two Scale Variables (4-4)

Scatter Diagram (a.k.a. Scatterplot) is a graph used with correlation and regression. It summarizes the relationship between two quantitative variables. Trendline (a.k.a. Regression line) approximates the relationship between the two variables. A pair of scale variables, X and Y, are plott

From playlist Data Visualization for Variables in Statistics (WK 4 - QBA 237)

Distribution plots using Plotly for Python

In this tutorial I take a look at distribution plots in Plotly. They actually combine three plots into one. The first being a normal histogram, in which we can state the bin size. The second is a kernel density estimate that can be changed into a normal curve. The last is a rug plot, w

From playlist Data viz using Plotly for Python

Labyrinth 3D - 28

One of my 3D Labyrinths. I love this architecture. It is completely randomly generated. I just choose the best ones. But as it turns out, I almost always keep them. They are all so good.

From playlist Labyrinth

Stanford Seminar - Designing Crowdsourcing Techniques Based on Expert Creative Practice

Joy Kim Stanford University This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a w

From playlist Stanford Seminars

Kaggle Live-Coding: Analyzing survey results with R | Kaggle

Join Kaggle data scientist Rachael live as she works on data science projects! Today she's going to be walking through how to analyze survey results with R. SUBSCRIBE: http://www.youtube.com/user/kaggledotcom?sub_confirmation=1&utm_medium=youtube&utm_source=channel&utm_campaign=yt-sub Ab

From playlist Kaggle Live Coding | Kaggle

Po-Ru Loh: "Detecting mosaic chromosomal alterations using long-range phasing"

Computational Genomics Winter Institute 2018 "Detecting mosaic chromosomal alterations using long-range phasing" Po-Ru Loh, Harvard Medical School; Brigham & Women's Hospital Institute for Pure and Applied Mathematics, UCLA February 26, 2018 For more information: http://computationalgen

From playlist Computational Genomics Winter Institute 2018

R - Correspondence Analysis

Lecturer: Dr. Erin M. Buchanan Harrisburg University of Science and Technology Summer 2019 I think I got a little excited and talked a bit too close to the mic - sound gets a little loud here and there. Apologies! This video covers simple and multiple correspondence analysis. First, I st

From playlist Natural Language Processing

Plotly for python

In this new series I take a look at my favorite plotting library of all time. Plotly. Plotly is a cloud service for plotting. It can also be used in many programming languages, though. In this playlist I will be showing you how to use it with Python in a Jupyter notebook. The files ar

From playlist Data viz using Plotly for Python

Photomosaic research

Broadcasted live on Twitch -- Watch live at https://www.twitch.tv/leioslabs

From playlist research

dabl: Automatic Machine Learning with a Human in the Loop |SciPy 2020| Andreas Mueller

In many real-world applications, data quality and curation and domain knowledge play a much larger role in building successful models than coming up with complex processing techniques and tweaking hyper-parameters. Therefore, a machine learning toolbox should enable users to understand bot

From playlist talks

16. The Roman Way of Life and Death at Ostia, the Port of Rome

Roman Architecture (HSAR 252) Professor Kleiner focuses on Ostia, the port of Rome, characterized by its multi-storied residential buildings and its widespread use of brick-faced concrete. She begins with the city's public face--the Forum, Capitolium, Theater, and Piazzale delle Corpora

From playlist Roman Architecture with Diana E. E. Kleiner

Using a set of points determine if the figure is a parallelogram using the midpoint formula

👉 Learn how to determine the figure given four points. A quadrilateral is a polygon with four sides. Some of the types of quadrilaterals are: parallelogram, square, rectangle, rhombus, kite, trapezoid, etc. Each of the types of quadrilateral has its properties. Given four points that repr

From playlist Quadrilaterals on a Coordinate Plane

HART316 20120402 LECTURE20 Hadrian's Villa at Tivoli

From playlist HART-316: Roman Architecture | CosmoLearning History

Base Plotting part 2 HD 720p

From playlist Exploratory Data Analysis

R & Python - Correspondence Analysis

Lecturer: Dr. Erin M. Buchanan Summer 2020 https://www.patreon.com/statisticsofdoom This video is part of my human language modeling class - this video set covers the updated version with both R and Python. In this video, you will learn about correspondence analysis, which is a speciali

From playlist Human Language (ANLY 540)

R & Python - Correspondence Analysis

Lecturer: Dr. Erin M. Buchanan Harrisburg University of Science and Technology This lecture covers correspondence analysis in R and Python including chi-square, multiple, and simple correspondence analysis. Lecture materials and assignment available at statstools.com.

From playlist Natural Language Processing

Determine if a set of points is a parallelogram using the distance formula

👉 Learn how to determine the figure given four points. A quadrilateral is a polygon with four sides. Some of the types of quadrilaterals are: parallelogram, square, rectangle, rhombus, kite, trapezoid, etc. Each of the types of quadrilateral has its properties. Given four points that repr

From playlist Quadrilaterals on a Coordinate Plane