Introduction to Tableau Charts

    Data is at the heart of decision-making. The company raw data alone isn’t enough to understand the business needs and make decisions. At this point, Tableau is powerful and widely used to visualize data meaningfully. This tool helps users turn complex data into actionable insights through interactive and easy-to-understand visualizations. 

   We would like to explain which charts best suit for 2 different domains. Each domain has a variety of data, so different charts show the best insights into a particular domain. For some domains to explain which charts best suit them to understand better and make decisions for business growth. 

Finance and Business Data 

   Financial and business data typically focuses on the profits, expenses, and performance of the company's strategies, margins, and business expansion for the future years. Below are the most suitable charts for the business field. 

Bar and Column Chart: 

    For comparing categories like revenue and profits by department. Vertical columns for sales by product also work best for time-based analysis. 

Heat Map:     

  This map can be used to visualize the correlation between financial metrics like expenditures by category across different regions in a particular period.  

 Candlestick Chart: 

   This chart is very commonly used in stock and forces trading. This also helps show price movement over a given time frame.  

Waterfall Chart: 

  This chart is very useful for displaying incremental changes from starting value. For example, changes in profit due to sales and maintenance.  

Healthcare and Medical related data charts: 

  In healthcare data, we see patient information, treatment outcomes, Ambulatory visits, KPIS, and Resource usage. The following charts are best suited to represent the health data.  

Scatter Plot chart:  

  This chart represents points for two continuous variables on a coordinate plane, such as a patient’s age and recovery time. 

Stacked bar chart: 

  This is the best chart for displaying the breakdown of patient visits, treatment, and the conditions of patients over a certain time period.  

Heat map: 

  This is the ideal map for visualizing a patient’s health matrix across various conditions for departments 

Pie chart: 

  For showing patient demographics and a portion of causes in various treatment categories.  

Box plot: 

For visualizing the distribution of patient data such as test results and treatment effectiveness across different patient groups. 

The Sales and Marketing Data: 

In this type of data, we majorly work on trends, comparisons, and distribution analysis. In my observation, the following charts were best suited. 

Funnel Chart: 

  Ideal for showing different stages in the process of conversion of rates through the sales funnel.  

Area charts: 

  The shaded area in the charts will emphasize volume over time, like cumulative sales over a limited time period. 

Pie chart: 

  For displaying market share and product distribution and the proportion of revenue contributed by different sources. 

Bar chart: 

  It is very useful as it compares categories like sales by product, region, and marketing performance. 

Line chart: 

  Great for showing trends over time such as sales growth, monthly website analysis, and customer acquisition rates. 

This will help to create charts across different domains and provide basic knowledge about which types of charts are best suited for visualizing our analysis.