A passion for visual arts was always something that stood out about Elena. She loves telling stories in a visual way, a skill she relied on while doing marketing project management. She has a background in finance and marketing.
New to Tableau she’s looking forward to taking her data analysis skills to the next level with The Data School. She strives to communicate via outstanding data visualizations that make an impact and help people make decisions and solve problems.
In her free time, she enjoys gaming and drawing.
Today businesses have so much data that they use. This is great as managers and analysts can see what’s happening within each department. However, the data may contain sensitive information that shouldn’t be accessible to everyone within the business. In most cases, there is a need for high level of security and control over access to some information and reports. Data governance and security is made quick and easy with Tableau Server. I will break down how to use Tableau Server to grant and restrict permissions to people within the organization to see and interact with data sources and dashboards.
Data analysis brings huge value to any business, however, the data itself needs to be in a rather “clean” state for analysis to be possible. Unfortunately, often the data that businesses have compiled is in a less than perfect state. Because of this, data preparation is a prerequisite for data analysis. There are a few ways to clean and prepare data for analysis. I will focus on the ways Tableau can help clean and prepare data.
When doing data preparation with Tableau, all the options are accessed in the Data Source Page where your data can be previewed. After locating the column, you would like to change, there are two ways to access the menu. Either right click on the column itself or click on the small downward pointing arrow at the right side in the column. Here are useful options:
Today we’ve passed the middle mark of Dashboard Week. The challenge was to visualize public transport links for one of the major cities listed by Andy. I was to do Philadelphia. Same as the previous challenges, we needed to get the data (with an API), clean it and visualize.
Day two of Dashboard week had a weekend feeling to it. Andy has given us 2 topics to choose from: beer or wine. For the one, we picked we would need to get the data, analyze and post our work on Tableau Public. After thinking about it for 0.1 seconds I decided to go with Team Wine. Without further delay, this is how the day went by.
Dashboard week has finally arrived on our schedule this Monday. It is going to be one of the most demanding weeks of DS6 training for sure, probably even the toughest one. For our first challenge, we need to analyze some basketball data. We all got different things we need to focus our analysis on. My focus will be on KPI’s. There is a catch though. We need to get the data first. I will quickly go through the process.
Before I dive in, however, I feel obliged to admit I don’t know anything about basketball, or any sport for that matter. It simply never was an area I was interested in. This, as you may imagine, this did not help me do things quickly as I had to literally google everything. Ok, as I have gotten that off my chest I’m going in trying to sum everything up.
It’s been awhile now that we’ve been doing LOD’s and complicated nested calculations. I wanted to go back and write about some simple calculations. Simple things get overlooked by people thinking that they already know them well but sometime on their work they notice that they aren’t fully aware of them. So without further ado, here are some basic calculations I wanted to go over.
It’s been one month after I joined The Data School sixth cohort in our Tableau and Alteryx journey. At this point I wanted to reflect on my experiences in The School and see how they compare to the expectations in my first blog.
Now let’s see what I have written in my blog that I would like to address. A few small things will be pulled out as quotations in this blog but for anyone that would like to see the original, just follow this link:
When first starting Tableau it’s usually the case Groups and Sets get mixed up in people’s heads. This is totally normal as they are so similar. They both combine the units you’ve selected and create a new set or group with the data. There are differences between the two that I will try to sum up.
What is the difference between Table Calculations and Calculated Fields? This is a common question for most Tableau users when they first start their Tableau journey. I must admit that I was no different when I first started. Now I can make the distinction thanks to Carl Allchin who dived into the topic in the DS6 Desktop III Training. For anyone who is not sure what the difference between Table Calculations and Calculated Fields please read ahead.
In the first week of The Data School I heard of a great tip that I believe deserves a post of its own. Caroline Beavon showed us a great trick to help crystallise our ideas and pick the best one before we start working on our viz. Essentially, it's a blank piece of...
There are so many choices to make when we are choosing how to present our work. For data visualisation, most commonly we pick which type of chart will best convey the message. However, we may need to pick if we like to show our analysis by a single dashboard or to go with a story point format instead.
Alteryx week has officially arrived on The Data School's menu. This week DS6 team will be learning only Alteryx with the help of The Information Lab's team. There will be a lot of data cleaning and data prep this week. As most of the team are newbies in Alteryx we...
This Monday DS6 had Luke Stoughton come in to talk about Visual Analytics. I really liked Luke's training, it was fun and dynamic. We had already covered some data visualisation practices previously so now we picked up from there and went in actually using what we've...
Makeover Monday had finally arrived, most unexpectedly on Friday. In the unlikely scenario that someone is not aware, Makeover Monday means redoing an analysis/viz in a new and better way. The goal is to explore different ways how to go about and redo an initial concept you have decided to go with after a while. As I don’t have that many published works I decided to go with a redo of my application for The Data School. I had done an analysis using the Metropolitan Police dataset of street crimes in the UK.
First week of DS6 is behind us. It was an interesting experience in more ways than one. It was a full-on week that’s for sure. Indeed, it is true what previous DS schoolers were claiming: exciting, challenging, intense but also very fun. The DS6 team is a fun and extremely talented bunch, their drive to learn is a big motivator for me to up my game and be the best that I can.
On the 12 of June me and the DS6 team went on what I’m sure will be an exciting journey! The hype is real! Seeing how previous DS members have written about their expectations, I figured I should do the same. So here is a brief overview of my expectations from the DS training and placements.
First week of June 2017 the Tableau Conference on Tour took place in London. It was a great event for all data people and Tableau users to meet up and stay updated with all new events in the field of data analytics and Tableau software. Here is a brief summary of my impressions from attending the Conference.