Kyso | KyleOS

KyleOS

Co-founder & Data Lead at Kyso. Feel free to contact me directly at kyle@kyso.io with any issues or feedback!

234 Upvotes

Graphing the introductory data from Pikkety's new book CapitalRead more
Created:May 24, 2021Last updated:Dec 07, 202138 views0
Created:May 24, 2021Last updated:Nov 25, 202120 views0
Created:May 18, 2021Last updated:Nov 29, 202116 views0
Created:May 18, 2021Last updated:Dec 07, 202119 views0
Analysis of 50 years of mass shootings in the US.Read more
Created:May 18, 2021Last updated:Dec 05, 202142 views0
How long does it take to break even on investments in paid ads?Read more
Created:Apr 20, 2021Last updated:Nov 27, 202168 views1 comments
Attempting to define our Ideal Customer Profile (ICP) and using it to determine the best kinds of companies to target for B2B sales.Read more
Created:Apr 20, 2021Last updated:Dec 07, 2021151 views0
Quick dive into some retention metrics for the preceeding 18 months to determine the cause of the recent decline.Read more
Created:Apr 20, 2021Last updated:Dec 08, 202163 views0
Plotting out global average temperatures since the Industrial RevolutionRead more
Created:Apr 15, 2021Last updated:Dec 08, 2021152 views0
Here we present a new approach to calculate the lifetime value of our B2C customers and how we can track and improve this moving forward.Read more
Created:Apr 15, 2021Last updated:Dec 03, 202148 views1 comments
Created:Apr 06, 2021Last updated:Nov 17, 202117 views0
Jupyter notebookRead more
Created:Feb 12, 2021Last updated:Nov 05, 202122 views0
Learn how to start publishing and sharing reports so everyone across the business can learn from your insights.Read more
Created:Feb 03, 2021Last updated:Dec 08, 2021271 views0
The template for the Kyso templates 😉Read more
Created:Nov 20, 2020Last updated:Nov 24, 202137 views0
Graphing multiple metrics from our Intercom data to gain valuable insights about the business.Read more
Created:Oct 26, 2020Last updated:Nov 16, 202149 views0
This guide will walk you through how to connect to an Airtable base from a Jupyter notebook, pull in your data and plot it, all with python.Read more
Created:Aug 05, 2020Last updated:Dec 05, 2021554 views0
A simple visualisation of the forecasted GDP levels of various countries to 2030.Read more
Created:Jul 17, 2020Last updated:Nov 06, 2021443 views0
Graphing SEO metrics from Google Analytics to show meaningful insights for an online educational platform that has been running an extensive content marketing campaign for the last 18 months in order to drive more traffic to their website.Read more
Created:May 08, 2020Last updated:Sep 16, 2021109 views1 comments
Created:Apr 17, 2020Last updated:Dec 04, 202186 views0
Gain access to your MongoDB data so you can learn actionable insights about your business.Read more
Created:Mar 24, 2020Last updated:Dec 07, 2021336 views0
Integrate Github with Kyso to supercharge the way you communicate your data & analysis.Read more
Created:Mar 24, 2020Last updated:Dec 07, 20212535 views0
A centralised hub for sharing and collaborating on technical reports.Read more
Created:Mar 24, 2020Last updated:Oct 24, 2021358 views0
Created:Mar 24, 2020Last updated:Nov 12, 202194 views0
Novel Coronavirus (COVID-19) Cases in Spain.Read more
Created:Mar 10, 2020Last updated:Dec 06, 2021236 views0
Created:Sep 02, 2019Last updated:Nov 26, 202154 views0
Plotting healthcare expenditure per capita in US$ purchasing power parity against average life expectancy at birth to get a rough view of how countries compare.Read more
Created:May 13, 2019Last updated:Nov 24, 20213005 views0
This is the first time in human history our planet's atmosphere has had more than 415 parts per million CO2, according to sensors at the [Mauna Loa Observatory](https://www.esrl.noaa.gov/gmd/obop/mlo/), a research outpost of the [National Oceanic and Atmospheric Agency](https:/Read more
Created:May 13, 2019Last updated:Dec 06, 2021899 views1 comments
Breaking down the companies worldwide valued at $1 billion or more.Read more
Created:May 10, 2019Last updated:Nov 24, 2021497 views1 comments
Infographic on the 2019 European elections, showing us national voting methods, age requirements and number of MEPs.Read more
Created:May 06, 2019Last updated:Nov 19, 2021480 views1 comments
An analysis of the voter turnout, with the European parliamentary elections coming soon.Read more
Created:May 05, 2019Last updated:Oct 24, 2021821 views0
Mapping the cost of living and property price to income ratios for over 70 countries using pandas and plotly.Read more
Created:May 04, 2019Last updated:Oct 23, 2021173 views0
Global score on environmental issues by country and continentRead more
Created:May 04, 2019Last updated:Nov 23, 2021133 views0
Data Visualisation: An Intro to Plotly's CufflinksRead more
Created:May 04, 2019Last updated:Nov 26, 2021112 views0
Plotting out the ratio of Goals for and Against to visualise overall competitiveness.Read more
Created:May 03, 2019Last updated:Sep 16, 202182 views0
A Heat Map of the global atmospheric CO2 concentrations in ppm from 1959 to 2018.Read more
Created:May 03, 2019Last updated:Nov 28, 20218110 views0
Using data from the World Bank, we attempt to gauge a better measure of cross-country standards of living using purchasing power parity. Read more
Created:May 02, 2019Last updated:Dec 05, 2021497 views1 comments
Exploratory analysis of suicide rates around the world & among different sub-groups.Read more
Created:Apr 26, 2019Last updated:Nov 22, 20211245 views0
Inspired by a recent Vox article, I extend previous analysis to look at the total cumulative CO2 emissions from 1750 to 2016 to determine ultimate responsibility.Read more
Created:Apr 26, 2019Last updated:Oct 19, 2021585 views1 comments
This animation shows the population density of U.S. counties between 1790 and 2010, showing the westward expansion of the country’s population.Read more
Created:Apr 25, 2019Last updated:Nov 18, 2021110 views2 comments
Academics have built models to assess the probability of a putschRead more
Created:Apr 24, 2019Last updated:Nov 18, 2021193 views1 comments
Measuring how environmentally efficient economies are by visualising how many metric tonnes of CO2 it takes in each country to produce one unit of economic output.Read more
Created:Apr 22, 2019Last updated:Oct 22, 2021232 views2 comments
Quick analysis of national carbon dioxide emissions on a per-capita basis. Some results are surprising! Read more
Created:Apr 21, 2019Last updated:Nov 26, 20213948 views5 comments
Graphing the latest data on global per capita meat consumption. Per capita consumption increases with higher incomes. Read more
Created:Apr 21, 2019Last updated:Nov 27, 20212231 views0
A Heat Map of the global atmospheric CO2 concentrations in ppm from 1959 to 2018.Read more
Created:Apr 18, 2019Last updated:Oct 30, 2021205 views3 comments
An infographic of the numbers behind the explosion in the growth of data generation.Read more
Created:Apr 16, 2019Last updated:Nov 26, 2021223 views1 comments
A graph of recent opinion surveys that demonstrate the rising support for the new Brexit Party. Read more
Created:Apr 16, 2019Last updated:Dec 06, 2021194 views0
![economics.png](economics.png) Source: https://www.socialeurope.eu/ Original Report from the The European Trade Union Institute (ETUI), *Benchmarking Working Europe 2019*Read more
Created:Apr 15, 2019Last updated:Nov 21, 2021290 views1 comments
A brief post on how Airbnb's Knowledge Repo inspired us to build Kyso for Teams, and how it improves upon the original idea.Read more
Created:Apr 15, 2019Last updated:Dec 08, 2021859 views1 comments
How heavy use of social media is linked to mental illness among youngsters in Britain.Read more
Created:Apr 14, 2019Last updated:Nov 18, 2021193 views0
Countries with Highest CO2 Emissions Per CapitaRead more
Created:Apr 12, 2019Last updated:Nov 18, 2021209 views1 comments
A graph that shows US corporations continuing to earn the majority of their profits in tax havens around the world.Read more
Created:Apr 11, 2019Last updated:Nov 24, 2021195 views2 comments
Really cool web dashboard created completely with python. Read more
Created:Apr 11, 2019Last updated:Dec 07, 2021332 views7 comments
Do any of today's modern players have a hope of catching Pele's historic feat of 708 goals in all competitions?Read more
Created:Apr 08, 2019Last updated:Nov 21, 2021103 views1 comments
An Interactive Application using Plotly's DashRead more
Created:Apr 04, 2019Last updated:Dec 07, 20213032 views7 comments
Dash App for uploading any file with xy, xyyy etc. coordinates & automatically graphing a scalar plot.Read more
Created:Mar 28, 2019Last updated:Dec 03, 2021339 views3 comments
Graph of index values of most expensive countriesRead more
Created:Mar 27, 2019Last updated:Dec 03, 2021175 views0
Chart of harmfulness of different drugs, both to users and to societyRead more
Created:Mar 21, 2019Last updated:Dec 07, 2021548 views1 comments
Graph of some of the highest meat-consuming countries by kilos per person.Read more
Created:Mar 20, 2019Last updated:Nov 27, 2021840 views2 comments
Kyso's custom Jupyterlab extension to publish your work to the web from any Jupyterlab environment.Read more
Created:Mar 14, 2019Last updated:Nov 16, 2021380 views0
Learn how we automatically connect your knowledge repo to Kyso via our Github integration.Read more
Created:Mar 14, 2019Last updated:Dec 04, 2021456 views3 comments
Launching a Jupyterlab Instance on Kyso.Read more
Created:Mar 04, 2019Last updated:Dec 05, 2021232 views0
Learn how to quickly get set up and running with Kyso's data science docker image. This tutorial will also demonstrate how you can append your own libraries to the image & run the extended image.Read more
Created:Mar 04, 2019Last updated:Dec 07, 20212304 views0
descriptionRead more
Created:Mar 04, 2019Last updated:Nov 19, 2021180 views0
Learn how to create a post from scratch using our web editorRead more
Created:Feb 28, 2019Last updated:Nov 19, 2021170 views0
Learn how to upload a file or multiple files to make a post on Kyso.Read more
Created:Feb 28, 2019Last updated:Dec 08, 20211065 views0
Learn how to connect your existing Github repositories to Kyso. Continue to work from the command line and see all of your commits pushed to Github be automatically reflected on Kyso. Read more
Created:Feb 28, 2019Last updated:Dec 05, 2021231 views0
Jupyterlab plotly extension to customize charts with no code!Read more
Created:Feb 13, 2019Last updated:Dec 07, 20215921 views0
Visualization of Numbeo's Quality of Life IndexRead more
Created:Feb 01, 2019Last updated:Nov 04, 2021215 views1 comments
Quick-Fire Guide in Setting Up a Simple Bokeh AppRead more
Created:Jan 23, 2019Last updated:Dec 08, 20216333 views1 comments
Bayesian Modelling in PythonRead more
Created:Jan 17, 2019Last updated:Sep 23, 2021206 views0
Learn how to create powerful and interactive presentations from Jupyter Notebooks.Read more
Created:Jan 15, 2019Last updated:Dec 05, 2021739 views0
Learn how to create & deploy shareable data applications & live dashboards on Kyso with Bokeh.Read more
Created:Jan 14, 2019Last updated:Dec 05, 20211339 views1 comments
Learn about all the features Kyso has to offer & how you can incorporate the platform into your data science workflow.Read more
Created:Jan 13, 2019Last updated:Dec 07, 2021482 views1 comments
Visualizing OpenAI Gym Space Invaders in JupyterRead more
Created:Jan 12, 2019Last updated:Sep 21, 202173 views0
Created:Jan 11, 2019Last updated:Nov 24, 2021130 views0
Multiple Pie Chart DimensionsRead more
Created:Jan 10, 2019Last updated:Nov 23, 2021150 views0
Quick-fire guide on how to upload .csv file to a Kyso workspace, plot the data and publish to the web.Read more
Created:Dec 14, 2018Last updated:Dec 04, 2021104 views0
Kyso's all-in-one docker image for data science and machine learning.Read more
Created:Dec 14, 2018Last updated:Oct 04, 2021394 views0
Kyso's custom Jupyterlab extension to publish your work to the web from any Jupyterlab environment.Read more
Created:Dec 14, 2018Last updated:Nov 21, 2021413 views0
A Tool for Collaborative and Reproducible Data Science.Read more
Created:Dec 04, 2018Last updated:Dec 07, 20211017 views1 comments
Cloud Infrastructure changes, a totally revamped UI and the launch of our new, custom Jupyterlab extension.Read more
Created:Dec 03, 2018Last updated:Nov 27, 2021522 views0
Data Visualisation: An Intro to SeabornRead more
Created:Nov 27, 2018Last updated:Dec 05, 2021881 views0
Data Visualisation: An Intro to Plotly's CufflinksRead more
Created:Nov 27, 2018Last updated:Dec 07, 20218927 views1 comments
Data Visualisation: An Intro to MatplotlibRead more
Created:Nov 26, 2018Last updated:Dec 06, 2021539 views0
Data Visualisation: An Intro to BokehRead more
Created:Nov 19, 2018Last updated:Dec 04, 2021626 views1 comments
Capital in the 21st Century - Growth Illusions and RealitiesRead more
Created:Nov 14, 2018Last updated:Sep 29, 2021283 views0
Quick-Fire Guide: Reading JSON Data into Pandas DataFramesRead more
Created:Nov 09, 2018Last updated:Nov 22, 2021396 views0
Capital in the 21st Century - Income and OutputRead more
Created:Nov 09, 2018Last updated:Nov 01, 2021835 views0
Data Visualisation: An Intro to PlotlyRead more
Created:Nov 07, 2018Last updated:Dec 07, 20212819 views0
The country with the best restaraunts The magazine Restaraunt just released its Worlds best restaraunts 2018 list and I wanted to see which country is most represented. Obviously this list is super subjective, but its fun. Spain comes out on top with 7 restaraunts on the list, followed by the USA (6) and France (5).Read more
Created:Nov 06, 2018Last updated:Nov 08, 2021104 views0
Capital in the 21st Century - IntroductionRead more
Created:Nov 06, 2018Last updated:Nov 30, 20213363 views0
1. Meet Professor William Sharpe An investment may make sense if we expect it to return more money than it costs. But returns are only part of the story because they are risky - there may be a range of possible outcomes. How does one compare different investments that may deliver similar results on average, but exhibit different levels of risks? Enter William Sharpe. He introduced the reward-to-variability ratio in 1966 that soon came to be called the Sharpe Ratio. It compares the expected returns for two investment opportunities and calculates the additional return per unit of risk an investor could obtain by choosing one over the other. In particular, it looks at the difference in returns for two investments and compares the average difference to the standard deviation (as a measure of risk) of this difference. A higher Sharpe ratio means that the reward will be higher for a given amount of risk. It is common to compare a specific opportunity against a benchmark that represents an entire category of investments. The Sharpe ratio has been one of the most popular risk/return measures in finance, not least because it's so simple to use. It also helped that Professor Sharpe won a Nobel Memorial Prize in Economics in 1990 for his work on the capital asset pricing model (CAPM). Let's learn about the Sharpe ratio by calculating it for the stocks of the two tech giants Facebook and Amazon. As a benchmark, we'll use the S&P 500 that measures the performance of the 500 largest stocks in the US.Read more
Created:Nov 06, 2018Last updated:Nov 24, 2021130 views0
Created:Nov 06, 2018Last updated:Nov 27, 2021151 views0
1. Dr. John Snow Dr. John Snow (1813-1858) was a famous British physician and is widely recognized as a legendary figure in the history of public health and a leading pioneer in the development of anesthesia. Some even say one of the greatest physicians of all time. As a leading advocate of both anesthesia and hygienic practices in medicine, he not only experimented with ether and chloroform but also designed a mask and method how to administer it. He personally administered chloroform to Queen Victoria during the births of her eighth and ninth children, in 1853 and 1857, which assured a growing public acceptance of the use of anesthetics during childbirth. But, as we will show later, not all his life was just a success. John Snow is now also recognized as one of the founders of modern epidemiology (some also consider him as the founder of data visualization, spatial analysis, data science in general, and many other related fields) for his scientific and pretty modern data approach in identifying the source of a cholera outbreak in Soho, London in 1854, but it wasn't always like this. In fact, for a long time, he was simply ignored by the scientific community and currently is very often mythified. In this notebook, we're not only going to rediscover his "data story", but reanalyze the data that he collected in 1854 and recreate his famous map (also called The Ghost Map).Read more
Created:Nov 06, 2018Last updated:Dec 06, 2021248 views0
1. Bitcoin. Cryptocurrencies. So hot right now. Since the launch of Bitcoin in 2008, hundreds of similar projects based on the blockchain technology have emerged. We call these cryptocurrencies (also coins or cryptos in the Internet slang). Some are extremely valuable nowadays, and others may have the potential to become extremely valuable in the future1. In fact, the 6th of December of 2017 Bitcoin has a market capitalization above $200 billion. The astonishing increase of Bitcoin market capitalization in 2017. *1- WARNING: The cryptocurrency market is exceptionally volatile and any money you put in might disappear into thin air. Cryptocurrencies mentioned here might be scams similar to Ponzi Schemes or have many other issues (overvaluation, technical, etc.). Please do not mistake this for investment advice. * That said, let's get to business. As a first task, we will load the current data from the coinmarketcap API and display it in the output.Read more
Created:Nov 06, 2018Last updated:Dec 05, 2021113 views0
1. The Statcast revolution This is Aaron Judge. Judge is one of the physically largest players in Major League Baseball standing 6 feet 7 inches (2.01 m) tall and weighing 282 pounds (128 kg). He also hit the hardest home run ever recorded. How do we know this? Statcast. Statcast is a state-of-the-art tracking system that uses high-resolution cameras and radar equipment to measure the precise location and movement of baseballs and baseball players. Introduced in 2015 to all 30 major league ballparks, Statcast data is revolutionizing the game. Teams are engaging in an "arms race" of data analysis, hiring analysts left and right in an attempt to gain an edge over their competition. This video describing the system is incredible. In this notebook, we're going to wrangle, analyze, and visualize Statcast data to compare Mr. Judge and another (extremely large) teammate of his. Let's start by loading the data into our Notebook. There are two CSV files, judge.csv and stanton.csv, both of which contain Statcast data for 2015-2017. We'll use pandas DataFrames to store this data. Let's also load our data visualization libraries, matplotlib and seaborn.Read more
Created:Nov 06, 2018Last updated:Dec 02, 2021157 views0
Learn how to launch Jupyterlab on AWS EC2 and publish to your Kyso account.Read more
Created:Nov 06, 2018Last updated:Nov 24, 2021200 views0
Learn how to launch Jupyterlab on Digital Ocean and publish to your Kyso account.Read more
Created:Nov 06, 2018Last updated:Oct 13, 2021243 views0
Learn how to launch Jupyterlab on Azure and publish to your Kyso account.Read more
Created:Nov 06, 2018Last updated:Nov 30, 2021142 views0
Learn how to launch Jupyterlab on Google Cloud Platform and publish to your Kyso account.Read more
Created:Nov 06, 2018Last updated:Oct 24, 2021177 views0
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