Kyso | KyleOS

KyleOS

Co-founder & Data Lead at Kyso. Feel free to contact me directly at [email protected] with any issues or feedback!

236 Upvotes

How long does it take to break even on investments in paid ads?Read more
KyleOSApr 20, 202125 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
KyleOSApr 20, 202113 views0 comments
Quick dive into some retention metrics for the preceeding 18 months to determine the cause of the recent decline.Read more
KyleOSApr 20, 20217 views0 comments
A deep dive into how many subscriptions we can credit to paid ads prospecting given different attribtution variables.Read more
KyleOSApr 15, 202130 views0 comments
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
KyleOSApr 15, 20218 views1 comments
KyleOSApr 06, 20216 views0 comments
Jupyter notebookRead more
KyleOSFeb 12, 202114 views0 comments
The template for the Kyso templates 😉Read more
KyleOSNov 20, 202026 views0 comments
Graphing multiple metrics from our Intercom data to gain valuable insights about the business.Read more
KyleOSOct 26, 202041 views0 comments
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
KyleOSAug 05, 2020314 views0 comments
A simple visualisation of the forecasted GDP levels of various countries to 2030.Read more
KyleOSJul 17, 2020432 views0 comments
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
KyleOSMay 08, 202094 views1 comments
Gain access to your MongoDB data so you can learn actionable insights about your business.Read more
KyleOSMar 24, 2020221 views0 comments
Integrate Github with Kyso to supercharge the way you communicate your data & analysis.Read more
KyleOSMar 24, 20202453 views0 comments
A centralised hub for sharing and collaborating on technical reports.Read more
KyleOSMar 24, 2020346 views0 comments
KyleOSMar 24, 202063 views0 comments
Novel Coronavirus (COVID-19) Cases in Spain.Read more
KyleOSMar 10, 2020220 views0 comments
KyleOSSep 02, 201939 views0 comments
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
KyleOSMay 13, 20192984 views0 comments
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
KyleOSMay 13, 2019817 views1 comments
Breaking down the companies worldwide valued at $1 billion or more.Read more
KyleOSMay 10, 2019473 views1 comments
Infographic on the 2019 European elections, showing us national voting methods, age requirements and number of MEPs.Read more
KyleOSMay 06, 2019411 views1 comments
An analysis of the voter turnout, with the European parliamentary elections coming soon.Read more
KyleOSMay 05, 2019810 views0 comments
Mapping the cost of living and property price to income ratios for over 70 countries using pandas and plotly.Read more
KyleOSMay 04, 2019165 views0 comments
Global score on environmental issues by country and continentRead more
KyleOSMay 04, 2019124 views0 comments
Data Visualisation: An Intro to Plotly's CufflinksRead more
KyleOSMay 04, 2019107 views0 comments
Plotting out the ratio of Goals for and Against to visualise overall competitiveness.Read more
KyleOSMay 03, 201973 views0 comments
A Heat Map of the global atmospheric CO2 concentrations in ppm from 1959 to 2018.Read more
KyleOSMay 03, 20198097 views0 comments
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
KyleOSMay 02, 2019474 views1 comments
Exploratory analysis of suicide rates around the world & among different sub-groups.Read more
KyleOSApr 26, 20191226 views0 comments
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
KyleOSApr 26, 2019576 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
KyleOSApr 25, 201981 views2 comments
Academics have built models to assess the probability of a putschRead more
KyleOSApr 24, 2019152 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
KyleOSApr 22, 2019217 views2 comments
Quick analysis of national carbon dioxide emissions on a per-capita basis. Some results are surprising! Read more
KyleOSApr 21, 20193919 views5 comments
Graphing the latest data on global per capita meat consumption. Per capita consumption increases with higher incomes. Read more
KyleOSApr 21, 20192196 views0 comments
A Heat Map of the global atmospheric CO2 concentrations in ppm from 1959 to 2018.Read more
KyleOSApr 18, 2019194 views3 comments
An infographic of the numbers behind the explosion in the growth of data generation.Read more
KyleOSApr 16, 2019181 views1 comments
A graph of recent opinion surveys that demonstrate the rising support for the new Brexit Party. Read more
KyleOSApr 16, 2019165 views0 comments
![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
KyleOSApr 15, 2019225 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
KyleOSApr 15, 2019797 views1 comments
How heavy use of social media is linked to mental illness among youngsters in Britain.Read more
KyleOSApr 14, 2019155 views0 comments
Countries with Highest CO2 Emissions Per CapitaRead more
KyleOSApr 12, 2019166 views1 comments
A graph that shows US corporations continuing to earn the majority of their profits in tax havens around the world.Read more
KyleOSApr 11, 2019164 views2 comments
Really cool web dashboard created completely with python. Read more
KyleOSApr 11, 2019295 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
KyleOSApr 08, 201993 views1 comments
An Interactive Application using Plotly's DashRead more
KyleOSApr 04, 20192623 views7 comments
Dash App for uploading any file with xy, xyyy etc. coordinates & automatically graphing a scalar plot.Read more
KyleOSMar 28, 2019314 views3 comments
Graph of index values of most expensive countriesRead more
KyleOSMar 27, 2019159 views0 comments
Chart of harmfulness of different drugs, both to users and to societyRead more
KyleOSMar 21, 2019397 views1 comments
Graph of some of the highest meat-consuming countries by kilos per person.Read more
KyleOSMar 20, 2019825 views2 comments
Kyso's custom Jupyterlab extension to publish your work to the web from any Jupyterlab environment.Read more
KyleOSMar 14, 2019340 views0 comments
Learn how we automatically connect your knowledge repo to Kyso via our Github integration.Read more
KyleOSMar 14, 2019362 views3 comments
Launching a Jupyterlab Instance on Kyso.Read more
KyleOSMar 04, 2019195 views0 comments
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
KyleOSMar 04, 20192057 views0 comments
descriptionRead more
KyleOSMar 04, 2019159 views0 comments
Learn how to create a post from scratch using our web editorRead more
KyleOSFeb 28, 2019150 views0 comments
Learn how to upload a file or multiple files to make a post on Kyso.Read more
KyleOSFeb 28, 20191006 views0 comments
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
KyleOSFeb 28, 2019206 views0 comments
Jupyterlab plotly extension to customize charts with no code!Read more
KyleOSFeb 13, 20195615 views0 comments
Visualization of Numbeo's Quality of Life IndexRead more
KyleOSFeb 01, 2019206 views1 comments
Quick-Fire Guide in Setting Up a Simple Bokeh AppRead more
KyleOSJan 23, 20195675 views1 comments
Bayesian Modelling in PythonRead more
KyleOSJan 17, 2019194 views0 comments
Learn how to create powerful and interactive presentations from Jupyter Notebooks.Read more
KyleOSJan 15, 2019711 views0 comments
Learn how to create & deploy shareable data applications & live dashboards on Kyso with Bokeh.Read more
KyleOSJan 14, 20191206 views1 comments
Learn about all the features Kyso has to offer & how you can incorporate the platform into your data science workflow.Read more
KyleOSJan 13, 2019450 views1 comments
Visualizing OpenAI Gym Space Invaders in JupyterRead more
KyleOSJan 12, 201966 views0 comments
KyleOSJan 11, 2019117 views0 comments
Multiple Pie Chart DimensionsRead more
KyleOSJan 10, 2019115 views0 comments
Quick-fire guide on how to upload .csv file to a Kyso workspace, plot the data and publish to the web.Read more
KyleOSDec 14, 201892 views0 comments
Kyso's all-in-one docker image for data science and machine learning.Read more
KyleOSDec 14, 2018371 views0 comments
Kyso's custom Jupyterlab extension to publish your work to the web from any Jupyterlab environment.Read more
KyleOSDec 14, 2018371 views0 comments
A Tool for Collaborative and Reproducible Data Science.Read more
KyleOSDec 04, 2018911 views1 comments
Cloud Infrastructure changes, a totally revamped UI and the launch of our new, custom Jupyterlab extension.Read more
KyleOSDec 03, 2018495 views0 comments
Data Visualisation: An Intro to SeabornRead more
KyleOSNov 27, 2018759 views0 comments
Data Visualisation: An Intro to Plotly's CufflinksRead more
KyleOSNov 27, 20188501 views1 comments
Data Visualisation: An Intro to MatplotlibRead more
KyleOSNov 26, 2018436 views0 comments
Data Visualisation: An Intro to BokehRead more
KyleOSNov 19, 2018571 views1 comments
Capital in the 21st Century - Growth Illusions and RealitiesRead more
KyleOSNov 14, 2018276 views0 comments
Quick-Fire Guide: Reading JSON Data into Pandas DataFramesRead more
KyleOSNov 09, 2018364 views0 comments
Capital in the 21st Century - Income and OutputRead more
KyleOSNov 09, 2018809 views0 comments
Data Visualisation: An Intro to PlotlyRead more
KyleOSNov 07, 20182559 views0 comments
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
KyleOSNov 06, 201880 views0 comments
Capital in the 21st Century - IntroductionRead more
KyleOSNov 06, 20183318 views0 comments
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
KyleOSNov 06, 2018120 views0 comments
KyleOSNov 06, 2018137 views0 comments
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
KyleOSNov 06, 2018195 views0 comments
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
KyleOSNov 06, 201894 views0 comments
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
KyleOSNov 06, 2018137 views0 comments
Learn how to launch Jupyterlab on AWS EC2 and publish to your Kyso account.Read more
KyleOSNov 06, 2018187 views0 comments
Learn how to launch Jupyterlab on Digital Ocean and publish to your Kyso account.Read more
KyleOSNov 06, 2018226 views0 comments
Learn how to launch Jupyterlab on Azure and publish to your Kyso account.Read more
KyleOSNov 06, 2018130 views0 comments
Learn how to launch Jupyterlab on Google Cloud Platform and publish to your Kyso account.Read more
KyleOSNov 06, 2018166 views0 comments
This study looks at how a fairly simple machine learning algorithm might be used to predict bike-share traffic. Scikit Learn is pretty much the golden standard when it comes to machine learning in PythonRead more
KyleOSMay 01, 20181553 views0 comments
Learn how to install your favourite packages from Jupyterlab's terminal to add to Kyso's default docker image.Read more
KyleOSApr 24, 2018262 views0 comments
KyleOSApr 23, 2018255 views0 comments