Babita Dalal
After completing a master’s in philosophy, Babita began her career in Education and Business Administration but decided to pursue her passion for data. After discovering Tableau on the recommendation of a friend she has never looked back. A few months of self-study later, Babita is a proud member of DSAU1 where she is well on the way to mastering data visualisation to generate insights. Away from work, Babita likes cooking and travelling.
Dashboard week – Day 5 – Toilets in Australia
Dashboard Week – Day 5 - Friday was the last day for dashboard week. We learned a lot during this week and were enjoying it with some less- sleep nights. Day 5 data was comparatively clean and hence not a big need to apply our data cleaning skills. A slight change...
Dashboard Week – Day 4 – iNatutalist
Dashboard week – Day 4 started with interesting data from iNaturalist. 'iNaturalist' is an online social network of people sharing biodiversity information to help each other learn about nature. It's also a crowdsourced species identification system and an organism...
Dashboard Week – Day 3 – Accidents in Victoria
Dashboard Week – Day Three started with data sets on accidents in Victoria with more than 15 files. One of the challenges was to clean the data without using alteryx. Instead, we have to clean and prepared data by using Tableau Prep. Firstly, we discussed the business...
Dashboard Week : Day 2 – Sydney Trains
Dashboard week Day 2 started with new data from Ayelavan. It was very interesting data and has a personal connection to all us – it was about Sydney trains - our lifeline. The data set has details of all the trains for next 1 month. Beyond anyone’s guess, Sydney...
Beginning of Dashboard Week – DSAU1
Week 14th started with the Dashboard Week. Craig challenged us to have insights on The Melbourne cup, when for few minutes, life stops in Australia. The Data we were given was about 37 years of The Melbourne cup. For the first hour, we spent exploring the data and...
New Feature in Tableau 2018.3 – Normalized Extract
Multiple table Hyper extracts Normalized Extracts is a new performance feature for extracts with one or more join statements. Now each table you see in the connection pane will be brought in and stored as separate tables in a single Hyper extract file. This will...
Deal with Multiple Factors with different Priorities
Decision need to be made to select the number one priority after evaluating multiple factors. The challenge is weightage/importance of these factors is different for different users. eg. Buying cars. Key deciding factors are mileage, comfort, warranty and every user...
Where row calculations can disappoint you?
Row level Calculation and Aggregate level calculation allows you to transform values at the data source level of detail and at the visualisation level of detail respectively. You can use all arithmetic and conditional expressions including IF-ELSE, CASE (1,2,...n) in...
Want to open a new franchisee ? Use Spatial tools to find the right location.
How to decide where you should or should not open a new franchisee? Alteryx Spatial tools makes it easy to find correct location. . Collect data of your current franchise and prepare their centroid and their customer traffic · First of all, you need to use...
First Week First Blog
I'm writing my first blog about my data school journey and how was my first week with Data school down under. I was so excited for the first day at Data School that I was not able to sleep on time previous night. Obviously It a day with mixed feelings which includes...