Pandas is an open-source data manipulation and analysis library for Python. It provides a wide range of tools and functions for handling and processing data, making it an essential tool for any data analyst, scientist, or engineer. Pandas provides a fast and efficient way to work with structured data, including reading from and writing to […]
I have the bad habit of revisiting things I’ve built with a critical eye. What I love about Tableau Public is that we can let visualizations fly and observe how people react to them. The key thing for me is perspective. The ability to not take feedback personally is essential! I believe we should try […]
“Know your customer!” This might be the most common business advice out there. We read about it on blogs, social media, we see it in presentations, we hear it from experts. I’m not too fond of this advice. It makes me cringe when I hear it. Mainly because it leads to ambiguous questions like “how?” […]
Love line charts? Love slope charts? Why not put them together? In this article, I am going to show you why this is not always a good idea and some good use cases of how they could work well. People think computers will keep them from making mistakes. They’re wrong. With computers you make mistakes […]
The first time I had the chance to test the tool, I didn’t see it. Fast forward to the present, and I am using Tableau every day. I can’t imagine life without it!
I decided to expand on the reasons I believe this software is extraordinary. I hope this article will help some of you avoid making the same mistake I did.
Tableau is making progress towards better interactivity.
After the introduction of Set Actions in 2018, they are taking it up a notch with Parameter Actions and with the ability to show/hide dashboard containers (toggle).
In this article, we are showing how these work and we share some ideas on how you can make use of them.
Data visualization is a powerful tool in the hands of those who try to answer the right question. For some it might be pretty pictures, others might build charts for the sake of it. For us, it’s something that should move minds in the right direction. We decided to show how we use data visualization […]
I wrote this on my phone one night after my 4th makeover. I didn’t work up the courage to publish it at the time, but I am going to do it now (~9 months later). For those who don’t know me, my name is Dorian, and I discovered MakeoverMonday about 10 months ago. I got […]
In this article, we discuss how we can use Plolty with Google Analytics data. For this we need the following: a Google Analytics account from which we pull the data through Google Analytics API V4; Python, which is going to be our programming language; to process the data we use Pandas; the best library for […]
Why are cohorts useful from a business perspective?
How to perform a cohort analysis in a meaningful way?
What types of data visualization work well?
How to gain cutting-edge insights from studying user behavior?
In this article, I am going to pick apart and try to improve on a prevalent chart type used to analyze cohort retention: the impact plot (also called triangle chart). It is basically a highlight table, or a heat map with the numbers displayed. Here are a couple of examples: This graph type that is […]
Cycle plots offer a lot of insight and are easy to build in Tableau.
With the approach from this article, we are trying to include one more.
By connecting the dots of a specific time point, we can follow the overall evolution across cycles.
Stacked bar charts are difficult to interpret more often than not.
One thing we can do is to use percentages instead of the actual values. Comparing the top and bottom segments becomes easier, but we lose track of the totals, and we still have difficulties with the middle parts.
To focus on one category at a time while keeping the others in sight, I implemented an interactive component to move the part of the bars we’re interested in at the bottom.
Also called theme rivers and in some cases steam graphs. It all started with this viz by Alex Jones: From the moment I saw it, I knew I wanted to create one by myself. Fortunately, Alex offered some insights on how he did it, but he didn’t give up the whole thing. Reverse engineering is […]
… or concurrent lollipops and dumbbells chart. For this week’s MakeoverMonday we looked at women representation in the House of Representatives (no pun intended). I came up with a population pyramid style chart. I put Democrats versus Republicans, where we would typically have men and women diverging to the left and right. So here’s the […]
… all while keeping the overall trend in the view. To put it simply, this is what we want to achieve: The chart shows the average price of an avocado in the US by week (data source). The line at the top shows the same data as below, only “zoomed” to a predefined period. I […]
In this article, I want to show you how I built a beeswarm chart in Tableau (with a little help from R):
1. Design process
2. Data workflow between R and Tableau
3. Using only R to create the chart
4. How it can be done 100% in Tableau using Table Calculations
Enjoy!
An exciting step-by-step case study of a Tableau dashboard optimization.
Technical details of improving the loading and interacting speed and a sneak peek of the new improved version we’re working on.
Getting from question to answer at the speed of light!
Love Google Analytics? Love Tableau? Why not bring them together? Us & Tableau We are working with Google Analytics every single day. Sometimes I get the feeling we’re investing too much time into it. When I re-discovered Tableau, I felt it brought a whole new perspective to our analytics approach. The first times I tried […]
Everyone has to know a bit about SEO. But so few of us make decisions based on reliable information.
With the Log Analysis article, we are taking the first step in helping people realize the value of this kind of information.
By reading this article, you are enrolling on the right path.
We designed two dashboards to help you track the speed of your site using Google Analytics and Google Data Studio.
The dashboards are based on the Average Page Load Time metric and offer quick insight to relevant information.
And they are free 🙂
