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This is most popular visualization tool which use by top rated Data Analysis firms and industries. Our experts created multiple dashboards from scratch. We have 5+ years of experience in interpreting and analyzing scientific research data and am proficient in data wrangling, modeling & visualization using Tableau. I have a good understanding of different univariate and multivariate statistical techniques along with various analytic tools for effective data analyses.

Product Suite Of Tableau

The Tableau Product Suite consists of: Tableau Desktop: With Tableau Desktop, you can connect to a variety of data sources and start visualizing data. Here you (a) need to connect with the dataset(data can be any format like: text, csv, json, excel, etc.), (b) After this you prepare your data and last (c) You need to build the visualization. It provide community support. Here, the community of Tableau users can’t wait to meet you. Network, ask questions, share ideas, and hear what’s coming next. Tableau Public: The Tableau Public is essentially a free version of Tableau visualization software. It allows you to use most of the software functions. You can create visualizations and connect to CSV, Text and Excel documents. Tableau Public is a free platform to publicly share and explore data visualizations online. Anyone can create visualizations using either Tableau Desktop Professional Edition or the free Public Edition. With millions of inspiring data visualizations, or “vizzes” as we affectionately call them, anyone can see and understand vizzes about any public data topic under the sun, making data part of everyday life and supporting a community to grow and learn from each other. Tableau Online: Tableau Online is your analytics platform fully hosted in the cloud. Publish dashboards and share your discoveries with anyone. In this, you ca invite colleagues or customers to explore hidden opportunities with interactive visualizations and accurate data. Tableau Server: Tableau Desktop user, you will be able to create workbooks and views, dashboards, and data sources in Tableau Desktop, and then publish this content to your Server but in "Tableau Server user, you will be able to access up-to-date content and gain quick insights without relying on static distributed content." There are many uses of Tableau so that developer choose it for data visualization: Business Intelligence, Data Visualization, Data Collaboration, Data Blending, Real-time data analysis, Query translation into visualization, To import large size of data, To create no-code data queries, To manage large size metadata.

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Tableau Sample Paper(Analyze Breast Cancer Dataset)

1. Table showing the average breast cancer screening rates by year for

both hospitals.

2. Table showing the total and average breast cancer costs by year for both hospitals

3. Average breast cancer screening rates by year for each hospital.

4. Average breast cancer costs by year for each hospital.

5. Pie chart to show the percentage of cancer cost contribution by year to the overall 2015–2017 cancer total costs. Which year was responsible for most of the cancer cost during this period?

6. forecast screening rates for each hospital.

7. Summarize your findings in one paragraph by comparing hospitals’ breast cancer screening rates. Which hospital needs a change in breast cancer screening policy? Why does this policy change matter to health care?


As seen, the Screening rate for the Memorial hospital is increasing over time and decreasing for the Southern Hospital, which is quite evident from the slopes of the above 2 graphs. So, it can be concluded that the Southern Hospital certainly needs a policy change so as to increase its screening rate.

The policy change is pivotal for the overall health care sector as we all know that the screening rate acts as a preventive care for the early diagnostic of Cancer patients. So, if the screening rate is increased there might be less no. of critical cancer patients, which in turn will increase their chances of survival and reduce the heavy out of pocket expenditure from the private and public sector.

8. Compute a correlation statistic to examine the association between breast cancer screening rates and breast cancer costs for both hospitals. Interpret both correlation statistics in terms of direct/inverse association and terms of weak/moderate/strong association. What is your overall conclusion about the relationship between breast cancer screening rates and breast cancer costs? What specific policy recommendations could you provide to the hospital board at Southern Hospital Group?

Correlation Statistics

As seen the R-square value is 0.87 which is like 87%. So it can be concluded that the Breast Cancer Cost and Breast Cancer Screening Rate are highly (strongly) correlated with each other with a negative relationship (downward sloping trend)

Correlation Statistics

As seen the R-square value is 0.78 which is like 87%. So, it can be concluded that the Breast Cancer Cost and Breast Cancer Screening Rate are highly (strongly) correlated with each other with a negative relationship (downward sloping trend)

Overall Conclusion

As Screening Rate increases the overall Cost is going down, so it can be concluded that both these metrics are inversely related with each other.

Policy Recommendation

As for the Southern Hospital there is an inverse relationship between the cost and the screening rate, it becomes imperative that hospital should ramp up its screening so as to further bring down the cost and increase the overall efficiency.

But as for southern hospital the relationship is not that too strong, there is urgent need to evaluate the quality of medical staff and facilities to be at par with the Memorial Hospital.

9. Create a storyboard with a narrative.

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