If I were a candidate discussing this Power BI project in an interview, here's how I would explain each topic: 1. Data Cleaning & Processing in Power BI: In this project, we started by importing raw HR data into Power BI. Before we could visualize and analyze the data, we needed to clean and prepare it. This involved identifying and handling missing values, correcting data types, and removing duplicates. Power BI's data transformation capabilities, particularly Power Query, were used for this purpose. 2. Power BI Dashboard Setup: Once the data was cleaned and processed, we set up the foundation for our HR analytics dashboard. This included creating a new Power BI report and adding various visuals, which would collectively form the dashboard. 3. Import Data in Power BI: The next step was to import the cleaned HR data into Power BI. This involved connecting to the data source (e.g., Excel, SQL database) and loading the data into the Power BI environment. 4. Power Query in Power BI: Power Query was a crucial tool in this project. We used it to transform and shape the data further. This included merging multiple data sources, applying advanced data transformations, and creating custom columns to derive insights. 5. DAX in Power BI: DAX (Data Analysis Expressions) played a significant role in the project. We used DAX formulas to create calculated columns and measures. For instance, we could calculate metrics like employee turnover rate, average salary, or performance indexes using DAX. 6. Measures and Calculations in Power BI: Within Power BI, we defined measures and calculations using DAX. Measures are dynamic calculations that respond to user interactions and slicer selections. This allowed us to provide real-time insights based on user needs. 7. Charts in Power BI: Charts and visuals are at the heart of data visualization. We leveraged various types of charts, such as bar charts, line charts, and pie charts, to represent HR metrics visually. This made it easier for users to understand trends and patterns. 8. Filters and Slicers in Power BI: To enhance interactivity, we implemented filters and slicers in the dashboard. These tools allowed users to select specific criteria, departments, time periods, or any other relevant data points. The visuals automatically adjusted to reflect the user's selections. 9. Dashboard in Power BI: The dashboard itself was a collection of interconnected visuals, charts, and tables. It presented a comprehensive view of HR analytics, enabling users to explore and gain insights at a glance. 10. Export Power BI Dashboard - Insights from Dashboard: Users could export the dashboard or specific visuals in various formats (e.g., PDF, PowerPoint). This was helpful for sharing insights with stakeholders who might not have direct access to Power BI. The dashboard's insights provided actionable information for HR decision-making.

Yes, that's correct. To connect to files stored in SharePoint using the "SharePoint Folder" connector in Power BI, you need to provide the correct URL of the SharePoint document library that contains the files you want to access. Here's how you can do it: 1. Go to the SharePoint Document Library: • In your SharePoint site, navigate to the document library that contains the files you want to connect to in Power BI. 1. Copy the URL: • Copy the URL from the address bar of your web browser. The URL should look something like this: https://your-sharepoint-site.sharepoint.com/sites/YourSiteName/Shared%20Documents/YourDocumentLibrary/ 1. Go to Power BI Desktop: • Open Power BI Desktop. 1. Get Data from SharePoint Folder: • Go to the "Home" tab and click on "Get Data." • Choose "SharePoint Folder" from the list of data sources. 1. Enter the SharePoint URL: • In the "From SharePoint Folder" dialog, paste the URL you copied from your SharePoint document library into the "Folder Path" field. • Click "OK." 1. Connect to Files and Folders: • Power BI will connect to the SharePoint document library and display the files and folders it contains in the Navigator window. 1. Choose Files to Load: • In the Navigator, select the files you want to load into Power BI by checking the corresponding checkboxes. You can also choose to load all files in the document library. 1. Click "Load": • Once you've selected the files you want to load, click on "Load" to load the data into your Power BI report.

First I need to paste correct link in SharePoint folder

That's correct. The "SharePoint Online List" connector in Power BI is specifically designed to connect to SharePoint lists, and it won't work with other SharePoint resources like files and folders. If you want to connect to files stored in SharePoint, you need to use the "SharePoint Folder" connector instead. The "SharePoint Folder" connector allows you to access files and folders within a SharePoint document library. Here's how to use the "SharePoint Folder" connector to connect to files stored in SharePoint: 1. Go to "Home" tab in Power BI Desktop. 2. Click on "Get Data." 3. Choose "SharePoint Folder" from the list of data sources. 4. Enter the URL of your SharePoint site where the files are stored. 5. Click "OK." With the "SharePoint Folder" connector, you can access files and perform data transformations on the files before loading them into your Power BI report. Remember that when using the "SharePoint Folder" connector, you need to provide the correct URL of the SharePoint document library that contains the files you want to access. Additionally, you need to ensure that you have the necessary permissions to access the files and folders in SharePoint. If you encounter any issues, double-check your SharePoint URL and verify your permissions with your SharePoint administrator.

It works only share point list not with web option right

General troubleshooting steps for connectivity issues: 1. Double-check the Data Source URL: • Verify that the URL you are providing is correct and points to the right location of your data source. 1. Check Firewall and Proxy Settings: • Ensure that there are no firewall or proxy settings blocking the connection to the data source. Work with your IT team to allow access if necessary. 1. Verify Data Source Accessibility: • Check if the data source is accessible from the machine where Power BI is running. Try accessing the data source directly through a web browser or other tools to ensure it is reachable. 1. Test Connection with Different Tools: • Attempt to connect to the data source using other OData clients or web-based tools to verify if the issue is specific to Power BI. 1. Clear Credentials and Reconnect: • In Power BI Desktop, go to "File" > "Options and Settings" > "Data Source Settings." Find the data source connection, select it, and click on "Clear Permissions." Then, try reconnecting to the data source and re-enter the required credentials. 1. Update Power BI: • Make sure you are using the latest version of Power BI Desktop to ensure compatibility with data source connectors.