Hey, data is everywhere. Analyzing data outside of work can be a great way to build your skills and stretch your creative boundaries unbound from the repetition of business data.in this post, we can see 6 datasets to develop Visualizations Skills in Tableau.
Hey, data is everywhere. Analyzing data outside of work can be a great way to build your skills and stretch your creative boundaries unbound from the repetition of business data.in this post, we can see 6 datasets to develop Visualizations Skills in Tableau.
These estimates are calculated with data collected from employers in all industry sectors in metropolitan and nonmetropolitan areas in every state and the District of Columbia.
National Crime Records Bureau (NCRB), Govt of India has published this dataset on their website and also has shared on Open Govt Data Platform India portal under Govt. Open Data License. This dataset contains complete information about various aspects of crimes that happened in India from 2001. There are many factors that can be analyzed from this dataset. Overall, I hope this dataset helps us to understand better about India.
Unemployment Rate in India averaged 9.21 percent from 2018 until 2020, reaching an all-time high of 23.50 percent in April of 2020 and a record low of 6.70 percent in November of 2018. Now its time to analyzing this data through visualization using Tableau.
Where can you find data for your next visualization project? Here are some options to get you started. Download one of the data sets below and connect to it from Tableau Desktop
The Crude Birth Rate (CBR) is defined as the number of live births per thousand population. It is usually the dominant factor in determining the rate of population growth. The primary source of data for births and deaths is the registration of births and deaths under the Civil Registration System (CRS) of the Office of Registrar General, India (ORGI). Download Datasets through the below link and connect to it from Tableau Desktop.
Developed by the World Health Organization. Providing up to date data from around the world. Official info on COVID-19. Advice for the public. So daily level information on the affected people can give some interesting insights when it is made available to the broader data science community.
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