Top 100 Data Visualization Interview Questions and Answers

In Tableau, discrete and continuous are two types of data that can be used to categorize and analyze information.

• Discrete data consists of distinct, separate values that cannot be measured or divided further.

• Examples of discrete data in Tableau include categories like product names, customer segments, or regions.

• Continuous data represents measurements or values that can be divided infinitely and can take on any value within a range.

• Examples of continuous data in Tableau inclu...read more

Bookmarks in Power BI are a feature that allows users to save and organize specific views of a report or dashboard.

• Bookmarks help users to easily navigate and switch between different report views.

• They can be used to save filters, slicer selections, visualizations, and other report settings.

• Bookmarks can be created manually or through Power BI's recording feature.

• They can be accessed and managed through the Bookmarks pane in Power BI Desktop or the Bookmarks menu in Power BI ...read more

Tableau dashboards are interactive visualizations that help users analyze and understand data.

• Dashboards are made up of multiple worksheets and can include filters, parameters, and actions.

• They allow users to explore data and answer questions in real-time.

• Dashboards can be shared with others and embedded in websites or other applications.

• Examples of dashboards include sales performance dashboards, marketing campaign dashboards, and financial analysis dashboards.

Gauge charts are used to visually represent a single value within a given range.

• Gauge charts are commonly used in business dashboards to display key performance indicators (KPIs).

• They provide a quick and intuitive way to assess the current status or progress towards a goal.

• Gauge charts can be used to show metrics such as sales targets, customer satisfaction scores, or production efficiency.

• They are effective in highlighting deviations from the desired value or target.

• Gauge ch...read more

I have experience working with Tableau, Power BI, and Google Data Studio for data visualization.

• Proficient in creating interactive dashboards and reports using Tableau

• Utilized Power BI for data analysis and visualization to track key performance indicators

• Experience in designing visually appealing charts and graphs in Google Data Studio

Tableau can connect to SAS environment through ODBC or SAS/ACCESS Interface.

• Tableau can use ODBC to connect to SAS environment and access data.

• SAS/ACCESS Interface can also be used to connect Tableau to SAS environment.

• Tableau can directly connect to SAS datasets and tables.

• Tableau can also use SAS data connectors to access data from SAS environment.

Row level security can be applied in Spotfire using data limiting expressions.

• Create a data limiting expression that defines the criteria for the rows that should be visible to a specific user or group.

• Assign the data limiting expression to the data table or view.

• Create a user or group filter that references the data limiting expression.

• Assign the user or group filter to the visualization.

• Test the row level security by logging in as the user or group and verifying that only t...read more

Blending in Tableau is combining data from multiple sources to create a single view.

• Blending allows for analysis of data from different sources without the need for merging.

• Data sources can be blended based on common fields or dimensions.

• Blending can be used to create a single view with data from multiple sources.

• Example: Blending sales data from Excel with customer data from a database to analyze customer behavior.

• Example: Blending survey data from SurveyMonkey with sales da...read more

A dashboard can be created using data visualization tools like Tableau or Power BI.

• Choose a data visualization tool like Tableau or Power BI

• Connect the tool to your data source

• Select the type of visualization you want to use (e.g. bar chart, pie chart, line graph)

• Drag and drop the data fields onto the dashboard canvas

• Customize the dashboard layout and design to make it visually appealing

• Add filters and interactivity for user engagement

Yes, I have worked on Tableau Server.

• I have experience in installing and configuring Tableau Server.

• I have created and managed user accounts and permissions.

• I have published workbooks and data sources to Tableau Server.

• I have monitored server performance and troubleshooted issues.

• I have worked with Tableau Server APIs to automate tasks.

• I have provided training and support to end-users.

To create dashboards and actions in Tableau, you can use the drag-and-drop interface to add visualizations and set up interactivity.

• Use the drag-and-drop interface to add visualizations to the dashboard

• Set up actions to create interactivity between different visualizations

• Define filter actions to allow users to interact with the data dynamically

Box-plot is a visual representation of the distribution of a dataset, showing the median, quartiles, and outliers.

• Box-plot displays the median (middle line), quartiles (box), and outliers (dots or lines).

• The length of the box represents the interquartile range (IQR).

• Whiskers extend to the smallest and largest non-outlier data points within 1.5 times the IQR from the quartiles.

• Outliers are plotted individually as dots or lines beyond the whiskers.

• Box-plots are useful for compa...read more

Use Power BI to connect to SQL database, import dataset, and create visualizations

• Connect Power BI to SQL database

• Import dataset from SQL into Power BI

• Create visualizations using the imported data

I analyze data by identifying patterns, trends, and outliers to derive insights and make informed decisions.

• I start by understanding the context and purpose of the data analysis.

• I clean and preprocess the data to ensure accuracy and consistency.

• I use statistical methods and data visualization techniques to explore and interpret the data.

• I apply machine learning algorithms for predictive modeling and pattern recognition.

• I communicate findings and recommendations based on the d...read more

Visualization is the representation of data in a visual format, such as charts, graphs, and maps.

• Visualization helps in understanding complex data by presenting it in a more digestible format

• It can reveal patterns, trends, and outliers that may not be apparent in raw data

• Examples include bar charts, pie charts, scatter plots, and heat maps

To draw a pivot in Excel, use the shortcut key Alt + D + P.

• Press Alt + D to open the Data tab in Excel.

• Then press P to open the PivotTable dialog box.

• Select the range of data you want to use for the pivot table and choose where you want the pivot table to be placed.

• Click OK to create the pivot table.

Parameters in Tableau allow users to dynamically change the values of calculations, filters, and reference lines.

• Parameters can be used to create dynamic filters that allow users to change the data displayed in a visualization.

• Parameters can also be used in calculations to perform complex calculations based on user input.

• Parameters can be used in reference lines to dynamically set thresholds or benchmarks for comparison.

A bookmark in Power BI is a feature that allows users to save the current state of a report, including filters, slicers, and visuals.

• Bookmarks can be used to save different views of a report for easy navigation.

• Users can create bookmarks to save specific filter selections or highlight certain data points.

• Bookmarks can also be used to create interactive presentations by linking different bookmarks together.

Pareto chart is a bar graph that displays the frequency of defects or issues in descending order to prioritize improvement efforts.

• Pareto chart helps in identifying the most significant factors contributing to a problem.

• It follows the 80/20 rule, where 80% of the problems are often caused by 20% of the factors.

• The bars are arranged in descending order of frequency, with a cumulative percentage line to show the total contribution.

• It helps in focusing on the vital few issues th...read more

A histogram is a graphical representation of data distribution.

• It is a bar graph-like representation of data that groups a range of values into intervals.

• It shows the frequency of occurrence of data in each interval.

• It helps to identify the central tendency, spread, and shape of the data distribution.

• It is commonly used in quality control to analyze process variations.

• Example: A histogram of test scores in a class can show the number of students who scored within each grade r...read more

LOD stands for Level of Detail. It is a technique used in Tableau to perform complex calculations on aggregated data.

• LOD expressions allow users to compute values at different levels of detail in a visualization

• They can be used to create custom aggregations, filters, and calculations

• There are three types of LOD expressions: FIXED, INCLUDE, and EXCLUDE

• FIXED LOD expressions define a level of detail that is independent of the visualization

• INCLUDE LOD expressions add a specified ...read more

Various data visualisation platforms include Tableau, Power BI, Google Data Studio, and D3.js.

• Tableau

• Power BI

• Google Data Studio

• D3.js

Tableau offers a variety of chart types to visualize data effectively.

• Bar chart - used to compare different categories

• Line chart - shows trends over time

• Pie chart - displays parts of a whole

• Scatter plot - shows relationships between two variables

• Heat map - visualizes data using color intensity

• Tree map - displays hierarchical data using nested rectangles

Extensions in Tableau are custom add-ons that enhance the functionality of Tableau by allowing users to integrate external services and applications.

• Extensions can be used to connect Tableau with third-party applications, services, and data sources.

• They can be developed using HTML, CSS, and JavaScript to create custom visualizations, write-back capabilities, and more.

• Examples of extensions include integrating Tableau with Google Maps for geospatial analysis, embedding Tableau...read more

A scatter plot is a type of data visualization that displays the relationship between two numerical variables through dots on a graph.

• Scatter plots are used to identify patterns and relationships between variables.

• Each dot on the plot represents a single data point with the x-axis representing one variable and the y-axis representing the other variable.

• The pattern of the dots can indicate the strength and direction of the relationship between the variables.

• Scatter plots are c...read more

To add a date table in Power BI, you can create a new table with a list of dates and relationships with other tables.

• Create a new table in Power BI with a list of dates

• Add columns for day, month, year, etc. for additional analysis

• Establish relationships between the date table and other tables in the data model

I show key performance indicators, trends, and metrics on the dashboard or reporting tool.

• Key performance indicators (KPIs) such as sales revenue, customer acquisition cost, and customer retention rate

• Trends in sales, marketing, and operational data over time

• Metrics related to productivity, efficiency, and profitability

• Visual representations like charts, graphs, and tables for easy interpretation

Nprinting allows creation of various types of reports such as pixel perfect, Excel, PowerPoint, Word, and HTML.

• Pixel perfect reports for precise formatting

• Excel reports for data analysis

• PowerPoint reports for presentations

• Word reports for document creation

• HTML reports for web publishing

Real time graphs show current data while historical graphs show past data.

• Real time graphs display data as it is happening, while historical graphs show data from a specific time period.

• Real time graphs are useful for monitoring current trends and making immediate decisions, while historical graphs are useful for analyzing past trends and making long-term decisions.

• Examples of real time graphs include stock market tickers and weather radars, while examples of historical graph...read more

Utilize Tableau's features like data extracts, data blending, and performance optimization techniques.

• Use data extracts to improve performance by reducing the amount of data being processed.

• Utilize data blending to combine data from multiple sources without the need for complex ETL processes.

• Optimize performance by using filters, aggregations, and calculations efficiently.

• Consider using Tableau's in-memory data engine for faster processing of large datasets.

I can prepare a bar chart with product operations data within a few minutes.

• I have experience using data visualization tools like Tableau, Power BI, or Excel to quickly create bar charts.

• I am proficient in organizing and cleaning data to ensure accurate representation in the chart.

• I can customize the chart with relevant labels, colors, and titles to make it visually appealing and easy to understand.

Tableau architecture is a visual analytics platform that helps users to understand data through interactive visualizations.

• Tableau consists of three main components: Data Connection, Data Engine, and VizQL Server.

• Data Connection allows users to connect to various data sources such as databases, spreadsheets, and cloud services.

• Data Engine processes and optimizes data queries for faster performance.

• VizQL Server translates data queries into visualizations that can be displayed ...read more

Heat map displays data using color intensity while tree map displays data using nested rectangles.

• Heat map is used to show the distribution of data across a two-dimensional space.

• Tree map is used to display hierarchical data using nested rectangles.

• Heat map uses color intensity to represent the data values while tree map uses the size of the rectangles.

• Heat map is useful for identifying patterns and trends in large datasets while tree map is useful for visualizing hierarchica...read more

Histogram chart is used to visually represent the distribution of data in a dataset.

• Histograms show the frequency of data values within specified intervals or bins

• They are useful for identifying patterns, trends, and outliers in data

• Histograms are commonly used in quality control to monitor process variations

I have experience using Tableau and Power BI for data visualization.

• Tableau is a powerful data visualization tool that allows for interactive dashboards and storytelling.

• Power BI is another popular tool for creating interactive reports and visualizations.

• I have used both tools to create visually appealing and informative charts, graphs, and dashboards.

Tableau Dashboard actions allow users to interact with the data and visualizations by clicking on specific elements.

• Dashboard actions can be used to filter data, highlight specific data points, or navigate to other dashboards.

• There are four types of actions in Tableau: filter, highlight, URL, and parameter.

• For example, a user can click on a bar chart to filter the data in a related table or click on a map to highlight the corresponding data points.

• Dashboard actions can be cus...read more

Yes, multiple dashboards can be merged into one by using dashboarding tools like Tableau or Power BI.

• Use dashboarding tools like Tableau or Power BI to merge multiple dashboards into one

• Identify common data sources and fields across the dashboards

• Create a new dashboard and bring in the necessary visualizations and data from the existing dashboards

• Arrange the visualizations and data in a cohesive and meaningful way to create a unified view

A basemap is a foundational map used as a background for displaying additional layers of geographic information.

• Basemaps provide context and reference for other data layers

• They typically include features like roads, boundaries, water bodies, and terrain

• Examples of basemaps include Google Maps, OpenStreetMap, and Esri World Imagery

Dual axis in Tableau allows for combining two different measures on the same axis for better comparison.

• Dual axis allows for comparing two measures on the same chart

• Each measure can have its own scale, allowing for better visualization

• Different chart types can be used for each measure, such as bars and lines

Yes, I have created Geo Spatial charts in Tableau.

• I have used Tableau's built-in mapping functionality to create Geo Spatial charts.

• I have also used custom shapefiles to create more detailed maps.

• I have experience with creating heat maps, point maps, and choropleth maps.

• I have used Geo coding to plot latitude and longitude coordinates on maps.

• I have also used Tableau's integration with Mapbox to create custom maps.

• I have created Geo Spatial charts for various projects, includ...read more

I use a variety of visualizations such as bar charts, line graphs, scatter plots, and heat maps depending on the type of data and context.

• Bar charts are useful for comparing categories of data

• Line graphs are great for showing trends over time

• Scatter plots help in identifying relationships between variables

• Heat maps are effective for visualizing large datasets and identifying patterns

Box plots are a graphical representation of data distribution using quartiles and outliers.

• Box plots show the median, quartiles, and outliers of a dataset.

• They are used to identify skewness, outliers, and the spread of data.

• They are also useful for comparing multiple datasets.

• Box plots can be created using software like Excel or R.

I have worked on Tableau, Power BI, and Excel for data visualization.

• Tableau for creating interactive dashboards and visualizations

• Power BI for creating reports and visualizations with real-time data

• Excel for creating basic charts and graphs

Looker dashboard navigation allows users to easily access and analyze data visualizations.

• Users can navigate through different dashboards by clicking on tabs or links.

• Filters can be applied to customize the data being displayed.

• Drill-down functionality allows users to explore data in more detail.

• Users can create bookmarks to save specific views for easy access.

• Looker also provides search functionality to quickly find specific data or visualizations.

I have worked on creating a custom sales performance chart for tracking monthly revenue

• Utilized Excel to create a custom chart with data from multiple sources

• Implemented color coding to highlight trends and outliers

• Added interactive features for easy data analysis

• Presented the chart to senior management for decision-making purposes

Box plot is a visual representation of the distribution of a dataset, used to identify outliers and assess skewness.

• Box plot displays the median, quartiles, and potential outliers of a dataset.

• It is used to visually assess the spread, skewness, and presence of outliers in the data.

• Skewness can be assessed from the box plot by observing the relative lengths of the whiskers and the position of the median.

A pivot chart is a graphical representation of data from a pivot table in Excel, allowing for easy visualization and analysis.

• Pivot charts are linked to pivot tables, updating automatically when the table data changes

• They can display data in various chart types like bar, line, pie, etc.

• Users can easily filter and manipulate data in pivot charts for better insights

• Pivot charts are commonly used in Excel for data analysis and reporting

The graph shows a steady increase in sales over the past year.

• The graph indicates a positive trend in sales performance.

• There is a clear upward trajectory in the sales data.

• The sales figures have been consistently improving over time.

• The company's revenue appears to be growing steadily.

• There may have been successful marketing campaigns or product launches contributing to the sales growth.

I use simple language, visuals, and real-life examples to explain the dashboard to non-technical individuals.

• Use simple language and avoid technical jargon

• Include visuals like charts and graphs to make data easier to understand

• Provide real-life examples to illustrate the data and its implications

To fetch data from an API and show the result, use HTTP requests and parse the response data.

• Identify the API endpoint and required parameters

• Make an HTTP request using a library like Axios or Fetch

• Parse the response data using JSON.parse()

• Display the data in the desired format, such as a table or list

Excel is a powerful tool for data visualization. It offers various chart types and customization options.

• Select the data range and choose the chart type from the Insert tab

• Customize the chart by adding titles, labels, and formatting options

• Use conditional formatting to highlight specific data points

• Create pivot tables to summarize and analyze large datasets

• Utilize Excel's built-in functions for calculations and data manipulation

Connections in Tableau refer to the relationships between data sources and how they are linked together in a visualization.

• Connections in Tableau are established by creating joins between tables or blending data from different sources.

• Primary keys and foreign keys are commonly used to establish connections between tables.

• Tableau allows for both inner and outer joins to combine data from multiple sources.

• Data blending is used when the data sources have no common fields to join...read more

I have studied and used various data visualization techniques including bar charts, line graphs, scatter plots, and heat maps.

• I have experience creating bar charts to compare data across categories

• I have used line graphs to show trends over time

• I have created scatter plots to identify correlations between variables

• I have used heat maps to visualize data density and identify patterns

Visualization is used to represent data in a graphical format for better understanding.

• Identifying trends and patterns in data

• Comparing data sets

• Showing relationships between variables

• Presenting data to stakeholders

• Exploring data for insights

• Creating dashboards for monitoring

• Visualizing geographic data

• Displaying complex data in a simple way

Different types of charts require different data types to plot them.

• Line charts require numerical data

• Bar charts require categorical data

• Pie charts require numerical data that adds up to 100%

• Scatter plots require numerical data for both x and y axes

• Heat maps require numerical data for both x and y axes, and a third numerical value for the color intensity

• Bubble charts require numerical data for both x and y axes, and a third numerical value for the size of the bubbles

Tableau offers various types of filters including quick filters, context filters, and data source filters.

• Quick filters allow users to easily filter data by selecting values from a list.

• Context filters are applied before other filters, affecting the data visible to subsequent filters.

• Data source filters limit the data available to Tableau by filtering data at the data source level.

• Other types of filters include extract filters, top N filters, and relative date filters.

Data visualization helps to communicate complex information in a clear and concise manner.

• Data visualization allows for easier interpretation and analysis of data

• It can highlight patterns and trends that may not be immediately apparent in raw data

• Visualizations can be tailored to specific audiences and purposes

• Examples include charts, graphs, maps, and infographics

Develop a data visualization project

• Identify the data to be visualized

• Choose appropriate visualization tools

• Design the user interface

• Implement the project using programming languages such as Python, R, or JavaScript

• Test and refine the project based on user feedback

Context filters in Tableau allow users to control the scope of the data being analyzed by defining specific filters for certain worksheets or dashboards.

• Context filters are used to limit the data being analyzed in Tableau to a specific subset.

• They can be applied to individual worksheets or entire dashboards.

• Context filters are useful for focusing on specific segments of data without affecting the overall analysis.

• They can be created by right-clicking on a filter and selecting...read more

Types of LODs in Tableau include Fixed, Include, and Exclude.

• Fixed LOD: Computes a value using specified dimensions, regardless of the visualization level.

• Include LOD: Computes a value at a specified level of detail, including dimensions not in the visualization.

• Exclude LOD: Computes a value at a specified level of detail, excluding dimensions not in the visualization.

Tableau components include Desktop, Server, Prep, Online, Public. Different connections include live, extract, ODBC, cloud, etc.

• Tableau components: Desktop, Server, Prep, Online, Public

• Different connections: Live, Extract, ODBC, Cloud, etc.

• Live connection: Directly connects to the data source and updates in real-time

• Extract connection: Data is extracted and stored in Tableau's proprietary format for faster performance

• ODBC connection: Connects to databases using ODBC drivers

• Cl...read more

Tableau uses Tableau Server for optimization of deployments.

• Tableau Server provides centralized management and scalability for Tableau deployments.

• It allows for easy sharing and collaboration of dashboards and data sources.

• Tableau Server also offers features such as load balancing, failover, and backup and recovery.

• It can be deployed on-premises or in the cloud, depending on the organization's needs.

• Tableau also offers a tool called Tableau Prep Conductor for managing data pr...read more

To share a Power BI report with an external user, we can use the Publish to Web feature or share it via email.

• Use the Publish to Web feature to generate an embed code that can be shared with external users

• Ensure that the report contains only non-sensitive data before using the Publish to Web feature

• Alternatively, share the report via email by granting access to the external user's email address

• The external user must have a Power BI account to view the report

I have built interactive Tableau dashboards that provide actionable insights for business decision-making.

• I start by understanding the business objectives and key metrics to be tracked.

• I gather and clean the relevant data to ensure accuracy and completeness.

• I design the dashboard layout to present the data in a visually appealing and intuitive manner.

• I use Tableau's features like filters, parameters, and calculated fields to enable interactivity.

• I incorporate various visualiz...read more

Optimizing Tableau dashboard involves simplifying visuals, reducing clutter, optimizing data sources, and utilizing performance tuning techniques.

• Simplify visuals by removing unnecessary elements and focusing on key metrics

• Reduce clutter by organizing data in a logical manner and using filters effectively

• Optimize data sources by cleaning and aggregating data before connecting to Tableau

• Utilize performance tuning techniques such as extracting data, using data blending instead ...read more

Data visualization tools are software that help in creating visual representations of data to aid in understanding and analysis.

• Tableau

• Power BI

• QlikView

• Google Data Studio

• D3.js

Row level security in Tableau allows users to restrict access to specific rows of data based on their role or permissions.

• Row level security is used to control which rows of data a user can access in Tableau.

• It is typically implemented by creating a security table that defines the relationship between users and the data they can access.

• Users can be granted access to specific rows based on their role or permissions.

• Row level security helps ensure that users only see the data t...read more

To create a dashboard in Power BI for larger data, use data modeling, optimize data loading, utilize DAX calculations, and design visually appealing visuals.

• Utilize data modeling to structure and organize large datasets efficiently

• Optimize data loading by using query folding and reducing unnecessary data

• Leverage DAX calculations for complex calculations and measures

• Design visually appealing visuals using various chart types and interactive elements

To publish on Tableau Server, use Tableau Desktop to create a workbook, then save it to Tableau Server.

• Create a workbook in Tableau Desktop with the desired visualizations and data connections

• Save the workbook to Tableau Server by selecting 'Server' > 'Publish Workbook'

• Choose the project and permissions for the workbook on Tableau Server

• Access the published workbook on Tableau Server through a web browser or Tableau Desktop

I will create a dashboard using company data to visualize key metrics and trends.

• Gather relevant company data such as sales, expenses, customer feedback, etc.

• Choose appropriate visualization tools like charts, graphs, and tables.

• Include key performance indicators (KPIs) to track progress and goals.

• Ensure the dashboard is user-friendly and interactive for easy analysis.

• Regularly update the dashboard to reflect real-time data changes.

LOD in Tableau stands for Level of Detail and refers to the ability to control the level of aggregation in visualizations.

• LOD expressions allow you to compute values at different levels of detail in Tableau.

• There are three types of LOD expressions: INCLUDE, EXCLUDE, and FIXED.

• INCLUDE LOD expressions compute values at the specified level of detail and then aggregate them up to the view level.

• EXCLUDE LOD expressions exclude the specified dimension from the view level of detail....read more

Tableau is a data visualization tool used to build interactive charts and dashboards.

• Connect to data source

• Drag and drop dimensions and measures

• Choose chart type

• Customize colors, labels, and formatting

• Add filters and parameters

• Create calculated fields

• Build interactive dashboards

Visualizations can be categorized into various types such as charts, graphs, maps, infographics, and dashboards.

• Charts - bar charts, line charts, pie charts

• Graphs - network graphs, scatter plots

• Maps - choropleth maps, point maps

• Infographics - data visualizations combined with text and images

• Dashboards - interactive visual displays of data

Parameters in Tableau are user-defined values that can be used to control aspects of a visualization.

• Parameters allow users to interact with a visualization by changing values such as filters, calculations, and reference lines.

• They can be used to create dynamic visualizations that respond to user input.

• Parameters can be created by right-clicking on a field or by selecting 'Create Parameter' from the Analysis menu.

• Examples of parameters include date ranges, thresholds, and tar...read more

Drill down and drill through are interactive features in Power BI that allow users to explore data in more detail.

• Drill down allows users to navigate from a higher level of data to a more detailed level by clicking on a visual element, such as a bar chart or table.

• Drill through allows users to access a more detailed report or page by clicking on a specific data point within a visual element.

• Both features provide users with the ability to analyze data in a more granular way an...read more

Dashboards can be made using various tools like Tableau, Power BI, Excel, etc.

• Identify the purpose of the dashboard

• Choose the appropriate tool for creating the dashboard

• Select the relevant data sources

• Design the layout and visualizations

• Add filters and interactivity

• Test and refine the dashboard

Optimizing Tableau dashboard involves improving performance, usability, and visual appeal.

• Limit the number of worksheets on a dashboard to improve performance

• Use filters and parameters effectively to allow for interactivity

• Optimize data source connections for faster loading times

• Utilize dashboard actions to create dynamic interactions

• Design with user experience in mind to ensure clarity and ease of use

Some common data visualization tools include Tableau, Power BI, and Google Data Studio.

• Tableau

• Power BI

• Google Data Studio

Row level security in Tableau allows users to restrict access to specific rows of data based on user roles or permissions.

• Row level security in Tableau is implemented by creating user filters based on user roles or permissions.

• Users can only see data that they have been granted access to, based on the row level security settings.

• Row level security can be set up using Tableau Server or Tableau Online.

• Example: A sales manager can only see sales data for their region, while a ma...read more

Dashboards from visualization tools are used to display key metrics and insights in a visually appealing and easy-to-understand format.

• Dashboards help in monitoring performance and identifying trends.

• They can be customized to show specific KPIs or metrics.

• Popular visualization tools include Tableau, Power BI, and Google Data Studio.

Different types of charts serve different purposes in data analysis and visualization.

• Bar chart - compares categories of data

• Line chart - shows trends over time

• Pie chart - displays parts of a whole

• Scatter plot - shows relationship between two variables

• Histogram - displays distribution of data

Yes, it is possible to update data in Tableau Extract.

• Tableau Extracts can be refreshed to update data

• Data can be added, removed or modified in the data source and then refreshed in Tableau

• Extracts can be set to refresh automatically or manually

Tableau is more user-friendly and better for data visualization, while Power BI is more powerful for data manipulation and integration.

• Tableau is known for its ease of use and intuitive drag-and-drop interface.

• Power BI has more advanced data manipulation capabilities and better integration with Microsoft products.

• Tableau is better for creating visually appealing dashboards and reports, while Power BI is better for complex data analysis and modeling.

• Power BI offers more advanc...read more

I have worked on various types of dashboards in Tableau including interactive dashboards, performance dashboards, and executive dashboards.

• Interactive dashboards

• Performance dashboards

• Executive dashboards

Visualize data in Tableau using various charts and graphs.

• Select appropriate chart type based on data and analysis goal

• Use color, size, and shape to encode additional information

• Create interactive dashboards for exploration and analysis

• Utilize Tableau's built-in features such as filters and parameters

• Consider audience and design for effective communication

I will share Power BI reports through email, shared folders, and scheduled data refreshes.

• Share reports via email with stakeholders

• Store reports in shared folders for easy access

• Schedule data refreshes to ensure reports are up-to-date

Power BI helps in visualizing data through interactive and customizable dashboards.

• Power BI allows users to create visually appealing charts, graphs, and maps to represent data in a meaningful way.

• Basic dashboards in Power BI typically include simple visuals like bar charts, line graphs, and pie charts to display key metrics.

• Advanced dashboards in Power BI involve more complex visuals like heat maps, scatter plots, and custom visuals created using Power BI's developer tools.

• A...read more

TWB files are Tableau workbook files that contain data and visualizations, while TWBX files are Tableau packaged workbook files that contain data and visualizations along with any external files.

• TWB files are used to create and save Tableau workbooks

• TWBX files are used to package Tableau workbooks along with any external files

• TWBX files can be easily shared and opened on other computers

• TWB files require the data source to be available on the computer where it is opened

• TWBX fi...read more

Power BI is a Microsoft product focused on business intelligence and data visualization, while Tableau is a standalone data visualization tool.

• Power BI is more user-friendly and integrates well with other Microsoft products.

• Tableau is known for its powerful data visualization capabilities and flexibility in creating complex visualizations.

• Power BI is often preferred by organizations already using Microsoft products, while Tableau is popular among data analysts and visualizati...read more

I will showcase dashboards related to sales performance and customer engagement.

• Sales performance dashboard showing revenue trends, top selling products, and sales by region

• Customer engagement dashboard displaying customer satisfaction scores, retention rates, and feedback analysis

To calculate the percentage of sales of states of the whole region in Tableau.

• Create a bar chart with states on the x-axis and sales on the y-axis

• Add a table calculation to compute the percentage of total sales for each state

• Format the chart to display the percentage values

• Use the 'Region' field to filter the data to the desired region

Different charts in Power BI have various use cases such as visualizing trends, comparing data, and highlighting outliers.

• Bar charts are useful for comparing data across categories.

• Line charts are great for showing trends over time.

• Pie charts can be used to show the proportion of each category in a dataset.

• Scatter plots are helpful for identifying relationships between two variables.

• Gantt charts are ideal for visualizing project timelines and dependencies.

Creating dashboards involves selecting relevant data, designing visualizations, and arranging them in a user-friendly layout.

• Identify key metrics and data sources to include in the dashboard

• Design appropriate visualizations such as bar charts, line graphs, and maps

• Arrange visualizations in a logical and intuitive layout

• Use filters and parameters to allow users to interact with the data

• Add annotations and titles to provide context and insights

LOD functions in Tableau allow you to compute values at different levels of granularity.

• LOD stands for Level of Detail

• They allow you to perform calculations that are not possible with regular aggregations

• They can be used to create custom aggregations, such as running totals or moving averages

• Examples include {FIXED}, {INCLUDE}, and {EXCLUDE} functions

Bookmarks in Power BI are used to save the current state of a report page, including filters, slicers, and visuals.

• Bookmarks allow users to save specific views of a report page for easy navigation.

• To restrict filters from affecting visual data when using bookmarks, you can use the 'Edit interactions' feature to control how visuals interact with each other.

• By setting the interactions between visuals to 'None' for certain bookmarks, you can ensure that filters do not affect the...read more

Dynamic dashboards update in real-time with live data, while static dashboards display fixed data snapshots.

• Dynamic dashboards are interactive and update automatically with real-time data

• Static dashboards display fixed data snapshots and do not update automatically

• Use dynamic dashboards for monitoring real-time metrics like website traffic or sales performance

• Use static dashboards for historical data analysis or monthly reports

Tableau is a data visualization tool that helps users create interactive and shareable dashboards and reports.

• Tableau connects to various data sources such as Excel, SQL databases, and cloud services.

• Users can drag and drop fields to create visualizations like charts, graphs, and maps.

• Tableau allows for interactive filtering and drilling down into data for deeper insights.

• Users can create dashboards and stories to present their data in a visually appealing way.

• Tableau also of...read more