PAUL CLARKE
Exploring all things revenue management, data and decision making
-
-
Displaying Live ISS Location with Python
Plotly is one of many plotting libraries in Python, offering attractive plots of many kinds. For the purposes of this, we will be using maps to plot the live location of the international space station and update the map every 10 seconds. First, we want to import the required libraries and if there isn’t a…
-
Embedding HTML Plots in WordPress
I was looking for ways to show periodically updating Python plots in WordPress and while there were a few libraries available they aren’t compatible with all themes. You will need access to the server that your website is running to save the plot in HTML form, in this case, I was using Plotly and saving…
-
Personal Bio – Updated
It’s been a long time since writing the initial bio and things have changed a lot so here is what I’ve been up to lately. Education While the goal was to aim for Data Science, and I began a Bachelor of Computer Science to do just that, several projects at work as well as the…
-
Building A Sailing App For Samsung Watch
I haven’t written anything on here in a long time; I’ve been busy doing something a bit different – I developed and distributed an app for Samsung watches so I thought I’d document some of the things I learnt in the process. We won’t be delving deep into detail on the code, but more into…
-
Managers Guide To Machine Learning
As our society becomes more and more digital we produce exponentially more data. In order to remain competitive businesses need to leverage the data that they have available to them to make plans for the future. Many methods can be used to process this data in order to make predictions about the future using data analytics.…
-
Top 10 most used Excel functions and how to complete in Python and Pandas
For better or for worse, 32 years after its initial release Microsoft Excel is still the most used program in business. In Excel’s defence, it has some advantages; Due to its longevity and prevalence, it is widely understood. Most computers have a program pre-installed that can open a spreadsheet prepared in Excel. But it has…
-
Collecting Airbnb Data for Market Research
I’d like to introduce something that I’ve been excited to start development for some time now, it’s a big project so I’ve been working on various components but this is the first component to be completed. As a hotelier witness a lot of conversations regarding Airbnb and what I notice most is that nobody has…
-
Forecasting New Car Sales Seasonal Volume – Part 2
Where we left off with Part 1 of This Blog we examined the seasonal data as a whole and utilised this data through an ARIMA model to predict the 2018 results. For the calendar year to date, we had an accuracy of 3.88%. While that accuracy is pretty good if you were to use this method to…
-
Forecasting New Car Sales Seasonal Volume – Part 1
Seasonal data analysis in Python involves examining available data of past sales in an effort to draw a forecast of what future sales are likely to be, this can be vital for many reasons such as knowing how much inventory to have on hand as well as arranging marketing activities around this. The methods in…