Tableau Charts Uses.

 

Tableau Charts and What and Use.

                                                              A Pareto chart

1. . A Pareto chart is a type of chart that graphically represents the relative frequency or size of different categories or factors. It is named after Wilfredo Pareto, an Italian economist who observed that 80% of the wealth in Italy was owned by 20% of the population. The Pareto chart is based on the Pareto principle, which states that roughly 80% of effects come from 20% of the causes. The chart consists of a bar graph and a line graph. The bars are arranged in descending order of frequency or size, and the line graph represents the cumulative percentage of the total. The chart helps to visually identify the most significant factors contributing to an outcome, and can be used for quality control, productivity improvement, and decision-making. Some common uses of Pareto charts include: Quality control: Identifying the most common defects or problems in a product or service. Inventory management: Identifying the most frequently used products, which can help with inventory management and ordering. Customer service: Identifying the most common customer complaints, which can help with prioritizing areas for improvement. Sales analysis: Identifying the most popular products or services, which can help with sales analysis and planning. Project management: Identifying the most significant factors contributing to delays or issues in a project, which can help with project management and planning. Overall, Pareto charts are a powerful tool that can help businesses identify and address the most significant factors affecting their operations.

A waterfall chart

2. A waterfall chart is a type of chart that shows how the starting value of a measure increases or decreases through a series of intermediate values to reach a final value. The chart is named after its appearance, which resembles a series of cascading waterfalls. In Tableau, you can use a waterfall chart to visualize and analyze changes in a measure over time or across different categories. The chart can help to identify the positive and negative factors that contribute to the change in the measure and their relative impact. To create a waterfall chart in Tableau, follow these steps: Connect to your data source and drag the measure that you want to analyze onto the Rows shelf. Drag the dimension that you want to analyze onto the Columns shelf. Click on the "Show Me" button and select the waterfall chart type. Adjust the formatting and appearance of the chart as needed. Once you have created the chart, you can use it to analyze the factors that contribute to the change in the measure. The chart will show the starting value of the measure, followed by bars representing the positive and negative changes, and a final bar representing the total change. The chart can be useful for analyzing revenue or profit changes, expense changes, or any other metric that changes over time or across categories.

A Symbol Map chart

3. A Symbol Map chart is a type of map chart in Tableau that displays data points as symbols on a map. It is used to visualize geographic data and analyze the distribution of values across different regions or locations. To create a Symbol Map chart in Tableau, follow these steps: Connect to your data source and drag the geographic dimension onto the Rows or Columns shelf. Drag the measure that you want to analyze onto the Size or Color shelf. Click on the "Show Me" button and select the Symbol Map chart type. Adjust the formatting and appearance of the chart as needed. Once you have created the chart, you can use it to analyze the distribution of the measure across different regions or locations. The chart will display data points as symbols on a map, with the size or color of the symbols representing the value of the measure. Symbol Map charts can be used to analyze a wide range of geographic data, including sales data, demographic data, and environmental data. Some common use cases for Symbol Map charts include: Sales analysis: Visualizing sales data by location to identify high-performing regions or markets. Demographic analysis: Analyzing population or demographic data by location to identify patterns and trends. Environmental analysis: Mapping environmental data such as pollution levels or weather patterns to identify areas of concern. Logistics analysis: Analyzing the distribution of products or goods by location to optimize logistics and supply chain management.

A tree map

4. A tree map is a type of chart used to display hierarchical data in a nested rectangular form, where each rectangle represents a different level of the hierarchy. The size of each rectangle is proportional to a numeric value associated with it.

Treemaps are useful when you need to display large amounts of hierarchical data and compare the sizes of different items at each level of the hierarchy. They are commonly used for data visualization, inventory management, and market research.

To create a treemap in Tableau, follow these steps:

Connect to your data source and drag the dimension that you want to use for the hierarchy onto the Rows or Columns shelf.

Drag the measure that you want to use for the rectangle sizes onto the Size shelf.

Click on the "Show Me" button and select the Treemap chart type.

Adjust the formatting and appearance of the chart as needed.

Once you have created the treemap, you can use it to analyze the hierarchical data and compare the sizes of different items at each level of the hierarchy. The chart will display nested rectangles, with each rectangle representing a different level of the hierarchy and the size of each rectangle representing the value of the associated measure.

Some common uses of tree maps include:

Market research: Analyzing market share data by product category and subcategory.

Inventory management: Analyzing inventory levels by product category and subcategory.

Financial analysis: Analyzing company revenues and expenses by department and sub-department.

Website traffic analysis: Analyzing website traffic by page and sub-page.

A Box and whisker plot

5. A Box and whisker plot, also known as a box plot, is a type of chart that displays the distribution of a dataset by showing the median, quartiles, and outliers. It is a useful tool for visualizing and analyzing statistical data and identifying potential outliers and unusual values. In Tableau, you can create a box and whisker plot by following these steps: Connect to your data source and drag the measure that you want to analyze onto the Rows or Columns shelf. Drag the dimension that you want to group the measure by onto the other shelf. Click on the "Show Me" button and select the Box and Whisker plot type. Adjust the formatting and appearance of the chart as needed. Once you have created the box and whisker plot, you can use it to analyze the distribution of the measure across different groups and identify potential outliers or unusual values. The plot will display a box representing the interquartile range (IQR) and median, with whiskers extending to the minimum and maximum values, and any outliers plotted as individual points. Some common uses of box and whisker plots include: Statistical analysis: Analyzing the distribution of a dataset and identifying outliers and unusual values. Financial analysis: Analyzing revenue or profit data by different business units or regions to identify areas of concern. Healthcare analysis: Analyzing patient data such as blood pressure or cholesterol levels to identify potential health risks. Quality control analysis: Analyzing manufacturing data to identify any defects or production issues.

A combination chart

6.A combination chart is a type of chart that combines two or more chart types in a single chart. It is a useful tool for visualizing and comparing different types of data on the same chart and identifying relationships between them.

In Tableau, you can create a combination chart by following these steps:

Connect to your data source and drag the measures and dimensions that you want to use onto the Rows or Columns shelf.

Click on the "Show Me" button and select the chart types that you want to combine.

Drag the different chart types onto the Rows or Columns shelf and adjust their formatting and appearance as needed.

You can also adjust the axes and labels to ensure that the data is easy to read and interpret.

Once you have created the combination chart, you can use it to analyze different types of data on the same chart and identify relationships between them. For example, you can combine a line chart with a bar chart to analyze sales data by month and product category, or a scatter plot with a trend line to analyze the relationship between two variables.

Some common uses of combination charts include:

Sales analysis: Analyzing sales data by different categories and comparing them in a single chart.

Financial analysis: Analyzing revenue and expenses data by different business units and comparing them in a single chart.

Marketing analysis: Analyzing market research data and customer demographics in a single chart.

Healthcare analysis: Analyzing patient data and treatment outcomes in a single chart.

                                                                 A scatter plot chart

7. A scatter plot chart is a type of chart used to display the relationship between two numerical variables. The chart displays data points as a series of dots on a two-dimensional graph, with one variable plotted on the x-axis and the other variable plotted on the y-axis.

In Tableau, you can create a scatter plot chart by following these steps:

Connect to your data source and drag the two numerical variables that you want to analyze onto the Rows and Columns shelves.

Click on the "Show Me" button and select the Scatter Plot chart type.

Adjust the formatting and appearance of the chart as needed.

Once you have created the scatter plot chart, you can use it to analyze the relationship between the two variables and identify any patterns or trends. The scatter plot can help you identify any clusters or outliers in the data, as well as the direction and strength of the relationship between the variables.

Some common uses of scatter plot charts include:

Sales analysis: Analyzing the relationship between sales revenue and marketing spend.

Financial analysis: Analyzing the relationship between revenue and expenses.

Quality control analysis: Analyzing the relationship between manufacturing data such as defect rates and product weights.

Healthcare analysis: Analyzing the relationship between patient data such as blood pressure and cholesterol levels.

                                                              A Heat map

8.A Heat map is a type of chart used to represent data in which the individual values are represented as colors on a two-dimensional matrix. Heat maps are used to visualize complex data sets and identify patterns and trends within them.

In Tableau, you can create a heat map by following these steps:

Connect to your data source and drag the variables that you want to analyze onto the Rows and Columns shelves.

Click on the "Show Me" button and select the Heat Map chart type.

Adjust the formatting and appearance of the chart as needed.

Once you have created the heat map, you can use it to identify areas of high and low density within the data. The colors in the heat map represent the relative values of the data, with darker colors indicating higher values and lighter colors indicating lower values.

Some common uses of heat maps include:

Website traffic analysis: Analyzing the volume and density of website traffic by location and time.

Financial analysis: Analyzing market trends and volatility by sector and time.

Healthcare analysis: Analyzing patient data such as disease incidence and mortality rates by geographic region.

Sports analysis: Analyzing player performance and team statistics by position and season.

                                                                       A Gantt chart

9.A Gantt chart is a type of bar chart used in project management to represent the schedule of tasks or activities over time. It displays each task as a horizontal bar on a timeline, with the start and end dates of the task represented by the beginning and end points of the bar.

In Tableau, you can create a Gantt chart by following these steps:

Connect to your data source and drag the variables that you want to analyze onto the Rows and Columns shelves.

Click on the "Show Me" button and select the Gantt chart type.

Adjust the formatting and appearance of the chart as needed.

Once you have created the Gantt chart, you can use it to track the progress of individual tasks and the overall schedule of the project. The chart can help you identify any delays or conflicts in the schedule, and make adjustments as needed.

Some common uses of Gantt charts include:

Project management: Tracking the schedule of tasks or activities in a project, and identifying any delays or conflicts in the schedule.

Manufacturing: Tracking the production schedule of a manufacturing process, and identifying any bottlenecks or delays in the process.

Construction: Tracking the schedule of tasks in a construction project, and identifying any delays or conflicts in the schedule.

Event planning: Tracking the schedule of tasks in an event planning project, and identifying any delays or conflicts in the schedule.

                                                                       A Bubble chart

10.A Bubble chart is a type of chart used to display three dimensions of data on a two-dimensional graph. It displays data points as bubbles on a graph, with the x and y-axis representing the two dimensions of data, and the size of the bubbles representing the third dimension of data.

In Tableau, you can create a bubble chart by following these steps:

Connect to your data source and drag the variables that you want to analyze onto the Rows and Columns shelves.

Click on the "Show Me" button and select the Bubble chart type.

Assign the size of the bubbles to a third dimension of data.

Once you have created the bubble chart, you can use it to visualize and analyze complex data sets with three dimensions of data. The size of the bubbles can be used to represent a third dimension of data, such as the volume of sales, the number of customers, or the profit margin.

Some common uses of bubble charts include:

Sales analysis: Analyzing the relationship between sales revenue, profit margin, and the number of customers.

Financial analysis: Analyzing the relationship between stock price, market capitalization, and earnings per share.

Healthcare analysis: Analyzing the relationship between patient data such as blood pressure, cholesterol levels, and body mass index.

Manufacturing analysis: Analyzing the relationship between production volume, defect rates, and cycle time.

                                                                A PIE chart

11.A PIE chart is a circular graph that is divided into slices to represent the proportion or percentage of data values in different categories. Each slice represents a category of data, and the size of the slice is proportional to the value of the data in that category.

In Tableau, you can create a pie chart by following these steps:

Connect to your data source and drag the variables that you want to analyze onto the Rows and Columns shelves.

Click on the "Show Me" button and select the Pie chart type.

Assign a dimension to the color mark to differentiate the slices.

Once you have created the pie chart, you can use it to display the relative proportions of different categories of data. Pie charts are useful for displaying data that can be easily categorized and compared, such as market share, customer demographics, or product sales.

Some common uses of pie charts include:

Marketing analysis: Displaying the market share of different products or services in a particular industry.

Sales analysis: Displaying the proportion of sales revenue generated by different product lines or customer segments.

Financial analysis: Displaying the proportion of revenue generated by different business units or investment portfolios.

Survey analysis: Displaying the proportion of responses to different survey questions.

                                                            A line chart

12.A line chart is a type of chart that displays data as a series of points connected by a line. It is commonly used to show the trend of data over time, as the x-axis typically represents time and the y-axis represents the value of the data.

In Tableau, you can create a line chart by following these steps:

Connect to your data source and drag the variables that you want to analyze onto the Rows and Columns shelves.

Click on the "Show Me" button and select the Line chart type.

Assign the time dimension to the x-axis and the value dimension to the y-axis.

Once you have created the line chart, you can use it to visualize and analyze the trend of data over time. Line charts are useful for identifying patterns and trends in data, as well as for comparing the performance of different variables over time.

Some common uses of line charts include:

Sales analysis: Analyzing the trend of sales revenue over time, and identifying seasonal patterns and trends.

Stock market analysis: Analyzing the trend of stock prices over time, and identifying trends and patterns in market behavior.

Healthcare analysis: Analyzing the trend of patient health metrics, such as blood pressure or glucose levels, over time, and identifying changes in health status.

Weather analysis: Analyzing the trend of weather data, such as temperature or precipitation, over time, and identifying patterns and trends in weather patterns

                                                                      An Area chart

13.An Area chart is a type of chart that is similar to a line chart, but with the area below the line filled with color or shading to represent the magnitude of the data. It is commonly used to display data trends over time, similar to a line chart.

In Tableau, you can create an area chart by following these steps:

Connect to your data source and drag the variables that you want to analyze onto the Rows and Columns shelves.

Click on the "Show Me" button and select the Area chart type.

Assign the time dimension to the x-axis and the value dimension to the y-axis.

Once you have created the area chart, you can use it to visualize and analyze the trend of data over time. Area charts are useful for identifying patterns and trends in data, as well as for comparing the performance of different variables over time.

Some common uses of area charts include:

Sales analysis: Analyzing the trend of sales revenue over time, and identifying seasonal patterns and trends.

Financial analysis: Analyzing the trend of financial metrics, such as revenue or profit, over time, and identifying patterns and trends in financial performance.

Website traffic analysis: Analyzing the trend of website traffic over time, and identifying patterns and trends in user behavior.

Population analysis: Analyzing the trend of population growth or decline over time, and identifying patterns and trends in demographic shifts.