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Data Visualization Using Tableau

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Tableau is a powerful and fastest growing data visualization tool used in the Business Intelligence Industry. It helps in simplifying raw data in a very easily understandable format.

Tableau Assignment Help | Tableau Homework Help

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Our cohesive team of Tableau Dashboard Visualization assignment experts consists of:

Experienced web developers, programmers and software engineers working with leading IT companies that provide top rated Tableau Assignment Help, Tableau Homework Help and Tableau Project Help and get complete support in data analysis projects.
PhD qualified experts who have several years of experience so you will get quality of work in your Tableau Assignment and Homework.
Former professors of acclaimed universities including National University of Singapore, Columbia University, University of Melbourne, Australian National University, etc

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Product Suite Of Tableau In Which You Can Get Help

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.

Real-Life Use Cases Of Tableau

Here are eight real-world Tableau CRM and Tableau use cases that we consider to be the most popular among our clients.:

Sales – Actionable Sales and Revenue Forecasting
Service – Customer Service and Compliance Insights
Sales – Identifying Deals at Risk Using AI
Service – Cross-object Reporting and Service Delivery Dashboard
Insurance – Advanced, Actionable Claims Analytics
Logistics – Predictive Capacity Planning
Not-for-profit – Donor Segmentation and Bulk Allocation
Government – Dynamic, Actionable Analytics for Project Oversight

Specific Objective Of Tableau Experts

Build experience working with a variety of different data sources, formats, etc.
Develop visualizations that explore multiple aspects of a problem context.
Group visualizations into dashboards to inform and generate insights about specific aspects of the problem context.
Link visualizations and dashboards into Tableau Stories that describe the impact and the nature of recovery of the US socio-economic landscape

Creating Important and useful visualizations on your dashboard to tell your story. Annotate liberally and use the dashboard to highlight the explanations and themes you want to communicate. In your dashboard, look to communicate time series analysis and trends from related data from multiple sources, which together communicate and explain (not correlate or cause) the concurrent or cascading nature of the economic phenomenon, both national and individual - macro and micro.

Important Steps That To Do For Tableau Data Analysis

Conceptualize

Conceptualize the nature of the story you want to tell from the data - form initial hypotheses/ideas and support them with evidence from the data expressed as Visualizations.

Collect and Process Data

Collect all your data from the relevant sources. The identification of the data and its sources will be guided by the dimensions you identify.

Clean and process the data for analysis and developing visualizations.

Also note the nature of the data - discrete, continuous, nominal, ordinal, or ratio scale. Your choice of visualizations will be affected by this.

Build your visualizations

Build your visualizations in the form of charts and graphs in tableau. While not required, I strongly recommend that you build individual visualizations along each of the dimensions/questions you have identified before you begin to create dashboards.

Use the resources in your tableau modules to select appropriate types of charts.

Use annotations liberally to identify the takeaway from each visualization you develop. These should specifically address What is the visualization telling the audience?; and What do you want the audience to take away from the visualization?

Build Dashboards and collect them into stories

Here we are build dashboards to communicate answers in the form of visualizations for each of the central themes of the context that you are investigating.

Collect the visualizations you have developed the dashboards. Be mindful that you may need to add visualizations and additional data to convey a cogent picture of the central theme for which you are building the dashboard.

Think about what you want to communicate and how you want your audience to interact with your dashboard(s). Collect your dashboards into stories to communicate your overall perspective of the nature and impact of the great recession. Here you should consider the collective and multi-dimensional narrative your dashboards are conveying.

Tableau Dashboard Assignment Help

Get help to create tableau dashboard in any interested areas like, sports, environment, business, sales, politics, science etc. Realcode4you expert have expertise in visualization and data analysis using tableau dashboard.

Example 1: Create a dashboard on Superstore Analytics as shown in below figures. The formatting / labelling / spacing / alignment should be the same as used in the charts.

Note:

The worksheet titles, KPI titles represent which dimensions/measures are required in respective places.

Make sure to use New Order Date in place of existing Order Date dimension for doing any date calculations or adding the Year filter on top.

Add appropriate tooltips everywhere.

Add the Year(New Order Date), Region and Category filters on top. All filters must be in multiple values dropdown mode. These filters should be applied to all the worksheets used in dashboard 1 and dashboard 2. Make sure Year filter should not be applied to current year sales, previous year sales and YoY growth % as these values are for current year and previous year. Make sure to apply filters on table in dashboard 2.

Initially filters are in hidden state. If you click on show filters icon the filters need to open. When you click on hide filters icon the filters should hide back.

Apply filter actions keeping bar chart, donut chart and Top 5 bar chart as source and all the worksheets as target.

Tableau Assignment Help, Homework help, Tableau Project Help.jpg

Best Machine Learning Sample Projects 2023

Project 1(OpenCV): Domain- Entertainment

Company X owns a movie application and repository which caters movie streaming to millions of users who on subscription basis. Company wants to automate the process of cast and crew information in each scene from a movie such that when a user pauses on the movie and clicks on cast information button, the app will show details of the actor in the scene. Company has an in-house computer vision and multimedia experts who need to detect faces from screen shots from the movie scene. The data labelling is already done. Since there higher time complexity is involved in the

OpenCV Assignment Help, Face Detection Using OpenCV.jpg

Project 2: Statistical Analysis to Reducing Gender Inequality in Wages and Employment

Germany’s government is interested in reducing gender inequality, especially gender wage gaps and gender gaps in employment. They are considering the introduction of a set of
policies that incentivize firms to shrink gender inequality in working conditions. First, the policy forces firms to internally publish salaries of all workers, so discrepancies in salaries can be detected by workers themselves. Second, firms are incentivized to encourage salary negotiations. Third, firms are incentivized to offer childcare where needed for their employees to fulfill their duties.
The government has been made aware that, in parts of the United States, exactly these policies have been introduced and now asks you to evaluate the effectiveness of these policies in reducing gender inequality in wages and employment. The dataset genderinequality (provided in RData and csv formats) contains data on individuals in the U.S., some working in firms to which the new policies apply (these are the treated workers) and some working at firms to which the new policies do not apply (these are the untreated workers). The policies have been introduced in 2007 and we have panel data on workers for the years 2005 and 2010, i.e. before and after the introduction of the new policies.

Statistical Analysis to Reducing Gender Inequality in Wages and Employment.jpg

Project 3: ReneWind

Renewable energy sources play an important role in the global energy mix, as the effort to reduce the environmental impact of energy production increases. Wind energy is one of the most developed technologies worldwide and the U.S Department of Energy has put together a guide to achieving operational efficiency using predictive maintenance practices. Predictive maintenance means failure patterns are predictable and if component failure can be predicted accurately and the component is replaced before it fails, the costs of operation and maintenance will be much lower. ReneWind is a company working on improving the machinery/processes involved in the production of wind energy using machine learning and has collected data of generator failure of wind turbines using sensors. ReneWind is a company working on improving the machinery/processes involved in the production of wind energy using machine learning and has collected data of generator failure of wind turbines using sensors.

Hire Machine Learning Expert, Get Help In Machine Learning Assignment, Best Machine learni

Project 4: TRAIN&AHEAD PROJECT

Trade&Ahead is a financial consultancy firm who provide their customers with personalized investment strategies. They have hired you as a Data Scientist and provided you with data comprising stock price and some financial indicators for a few companies listed under the New York Stock Exchange. They have assigned you the tasks of analyzing the data, grouping the stocks based on the attributes provided, and sharing insights about the characteristics of each group.