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Visualisation best practice

First begin with understanding client business, technical and business requirements.  Understand the context of the visualization and audience who we intend to build.  Capture user stories/business problems they are trying to address.  Understand the data model, data analysis and data preparation.  Storyboard/sketch initial prototype to solve the above problems.  Choose…
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Building Clinical Dashboards

I am a data scientist that works closely with a team of nurses to reduce hospitalizations for patients with kidney failure who are receiving dialysis. My team built and deployed a predictive model to provide the highest risk patients to a team of nurses. This worklist started as a minimum viable product (MVP) excel sheet.…
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Describe your process/ work-flow for creating data visualizations / dashboards

Understand the stakeholder problem Get an idea about context,Metrics and convert them into dimension and measures respectively. Identify the gaps within the existing data warehouse and perform required actions on data warehouse Then start building the Viz within tableau. Examples: For plotting trends use line charts To compare values within multiple dimensions then use Stacked…
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Workflow for creating data visualizations/dashboards

 Workflow for creating data visualizations/dashboards  In my opinion, a data science project has 4 important steps- Identify the problem (consumes 10% of the total project time), Prepare the data (70% of the total project time), Analyze the data (10%), Visualize insights (10%) and a bonus step of presenting the findings. However, the success of the…
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My approach to create Tableau Dashboard

Firstly I would like to thank you Kate Strachnyi, for giving me this opportunity to share my views and experience of creating Tableau dashboards. As you might know data in today’s world is becoming vital and “The world is going to be data”. I think this is just the beginning of the data period. There…
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The Six P’s

The six P’s. Prior Preparation and Planning Prevent Poor Performance. There is also a seven P’s version as well but I’m not sure how familiar people are with that one. It is an emphasis on the level of poor performance 🙂 Clarity Understand what your customer is looking to get out of it. Is it…
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Bigquery

From Google Cloud Bigquery, using bigquery sql syntax I created desired tables  by joining the views and tables of the data sets in the projects.  The table is then uploaded in Apache Superset dashboard we have where I map data visualization types like deck.gl polygon, pie charts, bubble charts, line charts and many others. By:…
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What if you need to elucidate any Data Science concept to any non-techie or a layman?

Explaining some concept to a layman (Image Source) Itwas about a month ago when I paid a short visit to my hometown (Kolkata, India) and I was full of mixed feelings — excited because I was going to meet my family members after a long time, doleful as I was travelling alone, leaving my husband & my daughter here…
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Understanding your customers through clustering – Explained in layman’s terms

Hello Datanerds, Hope everyone is doing good. As we start a fresh week, let’s make it productive by learning something new everyday. In this post, I am looking forward to explain unsupervised learning techniques in simple terms using a normal, day-to-day example. Hope you enjoy reading my article and if you have anything to take…
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Data Wrangling in Layman’s Terms

What is Data Wrangling? When I think of wrangling I think of bringing in the animals to make sure they are all going in the right direction.  So let’s get our data all going to the same place! You can think of wrangling as changing or reformatting a data set or column of data.  When…
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