Little Prince Quest Lab

The sources detail three practical Power BI Desktop exercises for customer data analysis, designed to help users understand market phenomena, consumer status, and customer value. The first CoreLab focuses on establishing comparison metrics, guiding the calculation and visualization of total revenue, year-over-year total revenue, and their ratio using tables and line/clustered column charts with conditional formatting. The second CoreLab introduces the Quadrant Chart for customer segmentation, categorizing customers by member count, average spending, and total spending, then displaying these insights through maps, pie charts, and cards to visualize regional distribution and contributions. The third and most complex CoreLab involves building an RFM (Recency, Frequency, Monetary) customer value analysis model. Users calculate R, F, and M scores, create an RFM table, and classify customers into eight distinct value segments. These segments are then analyzed using area charts, a matrix table, and an interactive scatter plot with an animation play axis, providing deep insights into customer behavior, purchasing patterns, and customer relationship management. The exercises emphasize hands-on operation and visual data interpretation for effective business insights.

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Administrative and Non-Government Ethics are crucial for a just society and safeguarding public interest. Administrative ethics guides public servants, emphasizing impartiality, transparency, and accountability in serving citizens. Public officials face ethical dilemmas like conflicts of interest and tough choices, requiring systems for recusal. Non-Government ethics directs NGOs in empowering communities, fostering collaboration, and championing global change, seen in organizations like the WHO. Both government and business ethics share common principles of transparency and accountability. However, government ethics focuses on public interest with stricter regulations due to its power, while business targets customers/shareholders. Government can learn from business, adopting efficiency and a citizen-centric approach for better public services. Understanding these concepts promotes social fairness.

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This text explores the global data explosion, projected to reach an astounding 181 zettabytes by 2025, largely driven by Artificial Intelligence (AI). It details earthbound storage technologies, including Hard Disk Drives (HDDs) for mass capacity and cost-effectiveness, and Solid State Drives (SSDs) for high performance (leveraging NVMe and PCIe interfaces). Cloud storage is presented as a paradigm shift, offering scalability and agility, alongside the growing market for external storage devices. Essential data management techniques such as RAID for improved performance and reliability, and the 3-2-1 backup principle for disaster recovery, are crucial. System development emphasizes effective data organization, compression, and encryption for integrity and security.
The discussion extends to the booming space economy, valued at $400 billion in 2023, with satellites accounting for 71%. New Ground Computing, which tightly integrates space (e.g., LEO satellites) and ground (cloud and edge AI) technologies, is vital for real-time data processing and analysis. AI and Machine Learning (ML) are transforming satellite image analysis, disaster warning systems, and smart operations. Major challenges in space include high costs, launch risks, space debris (Kessler syndrome), complex international legal and policy issues, space militarization, and unproven commercial markets. These advancements highlight the intertwined relationship between data storage/management and space exploration.

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The sources detail Power BI Desktop's core operations, focusing on acquiring and visualizing data from diverse external sources. Three CoreLab exercises provide hands-on experience:

• External Excel files: Users learn to download open government data (e.g., unemployment rates) and create various visualizations like cross-analysis slicers, clustered bar charts, pie charts, and line charts.
• Web data (Wiki): Connect to specific URLs to load web tables, visualizing data such as Olympic medal counts with clustered bar charts, card visualizations, and pie charts.
• Access databases: This advanced exercise emphasizes data transformation using Power Query (e.g., correcting membership IDs) and establishing accurate data relationships in the model view. Visualizations include product sales trends and member purchase analysis.

The modules highlight Power BI's capability for interactive and dynamic data visualization, integrating diverse sources for insightful analysis. Proper data cleaning and relationship management are crucial for accurate analytical results, and users are encouraged to consider the purpose of visualizations to derive business value.

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This module introduces Power BI Desktop, a powerful tool for interactive data analysis and visualization. Its core objective is to teach users how to acquire data from various external sources and create insightful, dynamic reports. The course covers importing data from external Excel text files (e.g., government open data platforms), external web data (e.g., Wikipedia Olympic data), and Access databases. Key steps emphasized include data transformation (e.g., correcting member IDs) and establishing correct data relationships between tables. Users learn to create diverse interactive visualizations, such as cross-analysis filters, grouped bar charts, pie charts, line charts, and card visuals. A significant feature highlighted is the interactive nature of dashboards, where selecting an element in one visual instantly updates all linked charts. Proficiency in BI tools like Power BI is increasingly a fundamental requirement for many job roles, aiding in the analysis of phenomena, customer behavior, and the discovery of business insights. Installation of the Power BI Desktop application is a prerequisite.

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Business ethics refers to the moral principles guiding companies and individuals, emphasizing the balance between profits and values for long-term success. It is vital for building customer trust, attracting top talent, and fostering a fair and responsible business environment. Ethics is metaphorically described as a balance, lighthouse, foundation, and air, highlighting its essential role in sustainable development. Key principles include not pursuing profit at the cost of ethics and integrating social responsibility into all operations. To navigate dilemmas like conflicts of interest or information asymmetry, frameworks such as the "PLUS" approach (Policy, Legal, Universal, Self) and a six-step decision-making process are provided. Practical applications extend to marketing honesty, financial integrity, fair human resources practices, and environmental sustainability. The sources underscore that while short-term gains may be tempting, integrity and kindness are crucial for a company's enduring success.

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The sources primarily introduce three significant tools for image and video creation and editing: Google AI Studio, PixVerse AI, and Krita. Google AI Studio (aistudio.google.com) is a powerful, newly launched platform leveraging Gemini 2.0 Flash for AI-driven image and text generation. It can modify subjects' hairstyles, clothing, and viewing angles, and even produce consistent characters for animated storyboards. PixVerse AI (app.pixverse.ai/home) specializes in AI-generated images and videos, offering features like smooth transitions between frames. Krita (krita.org) is a professional, free, and open-source image editing software, often compared to Photoshop. It provides essential tools such as filter masks for color adjustments and blur effects, a smart patch tool for seamless object removal, a clone tool for replication, and automated coloring for line art. These tools support diverse applications of image media in business contexts, including product display, advertising, instructional tutorials, and social media sharing, increasingly utilizing AI to enhance visual content and even create virtual spokespersons.

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The sources detail the extensive use of image media in business, outlining its applications, workflow, and technical aspects. Businesses leverage images for product display to boost purchasing desire, product explanations or tutorials using step-by-step visuals, advertising marketing to capture attention, and social media sharing to enhance post appeal and guide consumers to online stores.
The image media workflow involves photographers taking initial product shots, followed by image editors employing professional tools like Photoshop or AI for crucial techniques such as background removal, color adjustment, blurring, layer masking, and applying filters to achieve optimal visual results. Commercial photography prioritizes understanding the target market, producing high-quality photos, accurately presenting the product's features, and thorough post-processing. Various image editing software options exist, from professional ones like Photoshop and AI to free alternatives like GIMP, Canva, and Krita.
Image media is also critical for event promotion and social media product posts, requiring meticulous visual content creation, detailed editing, and a final review to ensure consistency and clear information. The strategic use of product endorsers is highlighted, considering their image and brand compatibility. Furthermore, the advancement of AI allows for virtual endorsers and models, which can reduce costs and improve efficiency, though challenges remain regarding their naturalness, legal implications, and technological maturity.

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This summary covers autonomous vehicles and data processing. For AVs, it outlines their history (from 1950s prototypes like the Firebird to Google Car/Waymo's development and industry cycles). Key technical components detailed include four core software modules: vehicle positioning, object detection, moving object prediction, and vehicle decision/control, alongside crucial technologies like ADAS and DMS. Automation levels (L0-L5), current market trends, development strategies, and real-world case studies (e.g., Taiwan's Xinyi Road autonomous bus) were presented. Significant potential issues were discussed, encompassing technical challenges (e.g., misjudgment, testing limitations), societal and legal dilemmas (e.g., insurance, the "Trolley Problem" ethics), and information security risks (e.g., data privacy, cyberattacks). The session also explored the data journey, explaining how raw data transforms into meaningful information through systematic data processing. Various data collection methods (e.g., search engines like Google Trends, social media, web scraping) were introduced, with a practical exercise using Python (version 3.10.5 recommended) and the Spyder IDE for web scraping and generating a word cloud for text analysis. Students are tasked with applying AI tools to create similar Python programs for data retrieval and visualization based on their chosen topics.

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The sources introduce moral development and measurement, highlighting its impact on daily choices. Morality is defined as an inner compass guiding right choices, distinct from laws which are societal rules with consequences. Moral development is a lifelong process, evolving through stages like those in Piaget's Theory: Pre-conventional (driven by consequences), Conventional (adhering to social norms), and Post-conventional (developing independent principles). Moral development is measured using tools such as the Defining Issues Test (DIT), Moral Dilemma Stories, and Behavior Watching. Understanding morality helps individuals distinguish right from wrong, make ethical decisions, and uphold values. Business ethics education is vital for future leaders to make responsible, integrity-driven choices, essential for long-term success and a better society. Navigating moral conflicts involves clear rules, education, rational communication, and support networks.

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