PowerBI dashboard with Deepseek prompt скачать в хорошем качестве

PowerBI dashboard with Deepseek prompt

Power BI dashboards can be significantly enhanced by integrating prompts from DeepSeek, a powerful AI model known for its advanced reasoning and problem-solving capabilities. Here's a breakdown of how you can achieve this and the benefits it brings: Understanding the Components Power BI: A business analytics service by Microsoft that provides interactive visualizations and business intelligence capabilities with an easy-to-use interface for end users to create their own reports and dashboards.   DeepSeek: An advanced AI model excelling in mathematical reasoning, logical inference, and real-time decision-making. It provides detailed explanations for solutions, making it ideal for learning and understanding complex data. Prompts: Instructions or queries given to DeepSeek to generate specific outputs. These prompts can range from simple questions to complex requests for analysis and insights. Integration Methods Direct API Integration: DeepSeek's API can be directly integrated into Power BI. This allows for real-time querying and analysis of data within your dashboards. When a user interacts with a dashboard element, a prompt can be sent to DeepSeek, and the response can be displayed in the dashboard. Data Transformation with DeepSeek: You can use DeepSeek to pre-process and transform your data before it's loaded into Power BI. This can involve using DeepSeek to identify patterns, anomalies, or trends in your data, which can then be visualized in your dashboards. Hybrid Approach: Combine both methods for a comprehensive solution. Use DeepSeek for real-time analysis of specific queries within the dashboard and also for pre-processing data to enhance the overall insights presented. Benefits of Integration Enhanced Insights: DeepSeek's ability to provide detailed explanations for its solutions can help users better understand the data and gain deeper insights. Interactive Analysis: Real-time querying allows users to ask questions and receive immediate answers within the dashboard, making it a more interactive and engaging experience. Automated Reporting: DeepSeek can automate the generation of reports and summaries, saving time and effort. Improved Decision-Making: By providing clear and concise insights, DeepSeek can help users make better decisions based on the data. Example Use Cases Financial Analysis: Use DeepSeek to analyze financial data and provide insights into trends, risks, and opportunities. Sales Performance: Analyze sales data to identify top performers, areas for improvement, and potential sales opportunities. Healthcare Analytics: Analyze patient data to identify trends, predict outcomes, and improve patient care. Getting Started Access DeepSeek: Obtain access to the DeepSeek API or explore its capabilities through available platforms. Power BI Setup: Ensure you have a Power BI account and are familiar with creating dashboards and reports. Integration: Choose an integration method based on your needs and technical capabilities. Prompt Engineering: Learn how to craft effective prompts to get the desired outputs from DeepSeek. Testing and Refinement: Test your integration and refine your prompts to ensure accurate and insightful results. By integrating DeepSeek prompts into your Power BI dashboards, you can unlock a new level of data analysis and gain deeper insights into your data. This can lead to better decision-making, improved efficiency, and a more comprehensive understanding of your business. 0:00 PowerBI M Query : let // Fetch data from World Bank API Source = Json.Document(Web.Contents("http://api.worldbank.org/v2/country/a...")), // Extract the second element of the JSON list (actual data) data = Source{1}, // Convert the data to a table gdpTable = Table.FromList(data, Splitter.SplitByNothing(), null, null, ExtraValues.Error), // Expand the nested records expandedData = Table.ExpandRecordColumn( gdpTable, "Column1", {"countryiso3code", "value", "date"}, {"Country Code", "GDP (Current US$)", "Year"} ), // Clean data: Remove rows with null GDP or Year filteredNulls = Table.SelectRows(expandedData, each [#"GDP (Current US$)"] null and [Year] null), // Convert Year to integer and GDP to number changedYearType = Table.TransformColumnTypes(filteredNulls, {{"Year", Int64.Type}}), changedGDPType = Table.TransformColumnTypes(changedYearType, {{"GDP (Current US$)", type number}}), // Add GDP in Billions (optional) addedCustom = Table.AddColumn( changedGDPType, "GDP (Billions)", each [#"GDP (Current US$)"] / 1e9, type number ) in addedCustom