The most crucial step when starting data analysis is importing and organizing data. Power Query is a powerful tool available in Excel and Power BI that helps users retrieve and clean data from various sources with ease. In this article, we will introduce the concept and key features of Power Query and demonstrate how to use it in real-world scenarios
Category: Excel Formula(Function)_en
Excel Formula(Function)_en
Analyzing data solely with numbers in Excel has its limitations. “Want to see monthly sales trends at a glance?”, “Need to compare performance by category easily?” To better understand your data intuitively, visual representation through charts and graphs is essential. By using charts and graphs, you can analyze trends and comparisons effortlessly, making them highly effective for reports and presentations.
When working with Excel, it’s essential to quickly identify and visually differentiate key data points. “Want to automatically change the color of sales values below a certain amount?” “Need to highlight the top 10% of data for better analysis?” This is where Conditional Formatting comes in. By using this feature, you can effectively visualize data and speed up analysis. In
When using Excel, it’s not just about organizing data but also about quickly summarizing it and extracting insights. To efficiently analyze large datasets, pivot tables are an essential tool. 💡 Want to easily analyze sales by category?💡 Need to track monthly sales trends at a glance? In this article, we’ll introduce how to use pivot tables for data summarization and
When working with Excel, you often need to go beyond simple calculations to perform tasks like data lookup, security settings, error handling, and advanced analysis. In particular, quickly finding the necessary values in large datasets, maintaining data integrity, and automating repetitive tasks are essential features. In this article, we introduce additional functions that are frequently used in real-world applications: ✅
Efficiently analyzing data and quickly finding the information you need is a crucial skill in the workplace. Whether you need to search for specific information in customer data, find the price that matches a product code, or link information across multiple sheets like a database, how can you work faster and more accurately? This is where Excel’s data analysis functions
In Excel, text data is just as frequently used as numerical data. When organizing customer information, product codes, email addresses, and more, you may often find yourself needing to split or combine names, extract specific parts of a code, or convert text between uppercase and lowercase. How can you efficiently handle these tasks? The answer lies in Excel’s text functions
When working with Excel, dealing with dates and times is often essential. Whether you need to automatically insert today’s date, calculate the difference between two dates, or find a date after a specific period, how can you do it efficiently? The solution lies in Excel’s date and time functions (TODAY, DATEDIF, NOW, etc.). These functions are particularly useful for project
Excel is more than just a tool for data entry—it’s a powerful resource for analyzing, organizing, and identifying patterns in data. However, one of the biggest challenges many professionals face when using Excel is knowing which functions to use, when to use them, and how to apply them effectively. Basic functions like SUM, AVERAGE, and COUNT play a crucial role
Simply organizing data in Excel is not enough. The key is to set conditions to calculate only the necessary data or extract values that meet specific criteria. This is where conditional calculation functions (IF, COUNTIF, SUMIF, etc.) and logical functions come into play. For example, how do you sum only transactions above a certain sales amount, count data that meets