Project 1 : Analyzing global COVID-19 data with interactive Tableau dashboard

Domain : Healthcare, COVID-19

Problem statement : Analyzing, understanding and comparing the COVID-19 cases across different countries

Description : In this project, you will be working on two data sets having country wise information which includes the number of confirmed cases, number of death cases, number of new cases and deaths per day. Data sets are to be related, joined or blended with each other to proceed with this dashboard. You will apply filters, parameters, actions and calculations wherever necessary to get the desired results according to the problem statements mentioned in the project work. Depending on factors such as the fields used to visualize, number of values in each field and the problem statement, appropriate charts and graphs are to be used. The final dashboard should be interactive in nature, allowing users to interactive and analyze data as per their requirement.

Highlights :

Cleansing and Combining data sets

Using Top filters and parameters that work in a dynamic way

Showing results in both log and default axes

Enhancing visualizations using available features and mark cards

Creating insightful and interactive dashboard

Including drop down menus and filters in the final dashboard to make it interactive

Project 2 : Tableau dashboard for analyzing the UK bank customer data.

Domain : Bank customer data

Problem statement : Understanding the Region wise customer details in the UK bank data set provided

Description : In this project, you will be working on this bank data which has the region wise customer details with their respective job classifications, gender-age details and their balances maintained in the bank. You will be creating pie charts, donut pie charts, asymmetric drill downs and motion charts for an insightful visualization. A day wise forecast on balance is to be calculated using Exponential smoothing – an inbuilt forecasting tool in Tableau. Final dashboard should be interactive with filters and highlighters used.

Highlights :

Cleansing data, if necessary, using the data interpreter

Creating asymmetric drill downs using set actions

Histograms for analyzing the distribution of a measure

Using LOD expressions to perform calculations in most granular levels

Highlighters to colour specific marks of interest

Global filters and parameters for interactivity

Project 3 : Tableau dashboard for analyzing the Financial data

Domain : Retail, Finance

Problem statement : Analyzing the country wise product data to understand the key performance indicators such as sales and profit to improvise the performance and sales of the products

Description : In this project, you will be analyzing the country wise sales and profit for each of its segments and products. World maps are to be used for an interactive analysis with detailed tool tips. Country maps are displayed using interactive filters. Motion charts and customized shapes are used for enhancing visualizations. Annotations and drop lines are inserted wherever necessary. Phone and tablet layouts are added for enabling mobility of dashboards after publishing. Analyzing the outliers for each country is a major problem statement in this project.

Highlights :

Maps are created using geographic data type fields

Single value list parameters for interactive analysis

URL actions to direct users to required web pages

Box plots to identify outliers in the data

Project 4 : Tableau dashboard for understanding the agricultural data

Domain : Agriculture

Problem statement : Agricultural Area, yield and production wise analysis per state

Description : In this project, you will have to analyze and understand data corresponding to a few states of India. Various seasonal crop categories and respective crops’ details under each category are provided for detailed analysis. Interactive drill down tree maps are to be used for insightful visualizations. Ranking crops based on their yeild value per year, seasonal pie charts with production details, district wise charts are a few of the requirements and problem statements of this project.

Highlights :