Free plotting software

Grace (plotting tool)

Grace is a free WYSIWYG 2D graph plotting tool, for Unix-like operating systems. The package name stands for "GRaphing, Advanced Computation and Exploration of data." Grace uses the X Window System and Motif for its GUI. It has been ported to VMS, OS/2, and Windows 9*/NT/2000/XP (on Cygwin). In 1996, Linux Journal described Xmgr (an early name for Grace) as one of the two most prominent graphing packages for Linux. (Wikipedia).

Grace (plotting tool)
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Julia plots using VegaLite

It's Julia plotting time. Visualizing data is an important part of data science. We are fortunate to have many plotting packages available in the Julia ecosystem. VegaLite is a grammar of interactive graphics. Is uses JSON to create visualization in the browser. VegaLite.jl is a Julia

From playlist Julia on Coursera

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Using Distributions in Julia

In this lecture I delve a little deeper into the Distributions package used in Julia.

From playlist The Julia Computer Language

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Project 1 Section 2 Part 1

Setting up Julia (using Juliabox.org) to import our dataset and start our data analysis.

From playlist The Julia Computer Language

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Julia Statistics Package

In this video, I take a look at the Julia Statistics Package. It is installed with Julia and contains the functions that we use for summary statistics all the time: mean, median, standard deviation, and quantiles.

From playlist Julia on Coursera

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Package Gadfly 05 QQ plots for @JuliaLanguage

Using the QQ statistic to create QQ plots.

From playlist The Julia Computer Language

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How to prepare scientific figures and posters

Undergraduate training on preparing figures, and posters for undergraduate research presentations. Focus on presentation skills, efficient figure design, poster tips, and a QtGrace tutorial section on using freeware software for making beautiful images.

From playlist Software tutorials

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Tuesday Lab: Lab report writing tips and tricks

Tutorial explaining lab reports, word styles and internal & bibliographic references with endnote web, QTGrace for making nice figures, Adobe Illustrator for final touch up.

From playlist Introduction to Materials Science and Engineering Fall 2018

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Bonus day: how to make nice figures using qtgrace and illustrator

20:43 QTgrace tutorial starts 27:26 adobe illustrator for further editing 37:24 non-linear fitting in qtgrace

From playlist Software tutorials

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Julia for simple medical statistical analysis

The new version of this video is here: https://www.youtube.com/watch?v=m5V9WnG5hwc In this introductory video I take a first and quick look at using Julia in the Juno IDE (LighTable). I introduce the DataFrames package and populate an empty DataFrame with some data points from random var

From playlist The Julia Computer Language

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Building Regression Models: A Workshop for the WiDS Datathon 2022

The 5th Annual Women in Data Science (WiDS) Datathon is now open on Kaggle, and the competition has begun! Take the Challenge here: https://bit.ly/3nrao5y The datathon provides exciting opportunities for both beginners and experienced data scientists to work with a climate change data set

From playlist MATLAB and Simulink Livestreams

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thursday lab: lab report writing tips and tricks

0:00 where to find free software through university 2:18 what goes in a lab report? 7:31 using styles in word 10:20 internal references in word (figures, equations etc) 16:12 endnote web to manage references and use them in word with different journal styles 30:00 how to create nice figure

From playlist Introduction to Materials Science and Engineering Fall 2018

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Continental loss: the quest to determine Antarctica’s contribution to sea-level change

Scientists have sought to understand Antarctica's contribution to sea level for over 50 years. During this lecture, Professor Matt A King, University of Tasmania, Australia, explains how recent advances in data analysis and computer modelling could show that Antarctica is increasingly cont

From playlist Latest talks and lectures

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Excel for Statistics 1--Introduction

This video provides an introduction to using Microsoft Excel for statistics. It covers the basics of adding, subtracting, multiplying, and dividing numbers in Excel, as well as how to refer to other cells in calculations and dragging the contents of cells to complete sequences.

From playlist RStats Videos

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NASA's Water Weight Watchers (live public talk)

Original air date: Dec. 14, 2017 at 7 p.m. PT (10 p.m. ET, 0300 UTC) The original Gravity Recovery and Climate Experiment (GRACE) mission, which began orbiting Earth in 2002, provided scientists with an unprecedented view of changes in our global water cycle, and allowed precise determina

From playlist Von Karman Public Talks

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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

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Public Talk: El Niño & California Water

JPL uses cutting-edge sensors on satellites and airplanes to observe many aspects of water on the Earth. These observations help improve our understanding of the impacts of El Niño and La Niña on water resources critical to California. A panel of experts will describe measurements over the

From playlist Von Karman Public Talks

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Comparing 30+ AI models for datathons | MATLAB's best model

Join us live to see AI models compete for the top prize. Who is the fastest? Who is the most accurate? Who will take the crown? In this part of the series, we’ll compare top machine learning models on data sets related to datathon competitions. We’ll compare algorithms and discuss techni

From playlist MATLAB and Simulink Livestreams

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Lesson 05_07 Dictionaries

With dictionaries we create both a set of elements and specify a key for each. We can reference these keys instead of the usual indices wes used in arrays.

From playlist The Julia Computer Language

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CNN Tutorial for Beginners | Convolutional Neural Network | CNN Tutorial Python | Simplilearn

🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=CNNTutorialforBeginners-IPdfor9ROf4&utm_medium=DescriptionFirstFold&utm_source=youtube 🔥Professional Certificate Program In AI And M

From playlist 🔥Machine Learning | Machine Learning Tutorial For Beginners | Machine Learning Projects | Simplilearn | Updated Machine Learning Playlist 2023

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Introduction to plotly

Plotly is an online tool used to plot data. It can be used straight from python, or as standalone tool on the web. It is almost a social media tool and can be used to collaborate with colleagues.

From playlist Learning medical statistics with python and Jupyter notebooks

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