As a student, you might be familiar with the KWL chart and Y-chart. These charts are used to help students focus their research by breaking down information into manageable chunks. In this article, we will discuss how these charts can help students in their academic work.
What Is a KWL Chart?
A KWL chart is a type of research chart that helps students focus their research. The chart has seven columns, and students fill in the first column with general information about the topic they are researching, such as what it is, who created it, and when it was created. They then fill in the next six columns with specific information about the topic, such as what it is made of, who uses it, where it can be found, and when it was used. Finally, they fill in the last column with their conclusions or thoughts on the topic.
KWL charts can be helpful for students in several ways. First, they can use them to organize their research. By filling in the columns with specific information about the topic, students can quickly see which topics overlap and which ones they need to investigate further. Second, KWL charts can help students focus their research. By organizing their information into specific columns, students can better identify key facts and figures related to the topic. Finally, KWL charts can help students develop preliminary conclusions about the topic. By filling in the final column, students can get a sense of what they know about the topic and where they still need to explore further.
What Is a Y Chart?
A Y Chart is tools that can help students focus their research. It is also known as a "worksheet." The chart has two columns- one for the number of items and one for the number of times that item is mentioned. For example, if there are 10 items on the chart and each item is mentioned once, the chart would look like this:
The Y Chart can be used to track how often particular items are discussed in your research. This information can help you determine which topics are more important to investigate further.
How to Use a KWL and Y Chart?
The KWL chart is visual aids that can help students focus their research. The Y chart is a variation of the KWL chart that helps students compares research results.
Once a solid Chart of Accounts is set up in QuickBooks, accounting becomes much easier.
Starting a new company file doesn’t mean you have to start a new Chart of Accounts.
Here you know how to export Chart of Accounts in QuickBooks file, modifying it in Excel, and importing it into a different file.
What is Data Visualization?Data Visualization is a graphical representation of data with the help of graphs, charts, diagrams, maps, etc., for ease of understanding.
So data visualization acts as a key element of decision making.
The visually representing data allows us to discover actionable information from data easily, which can go undetected in a different format.Trends and outliers can be readily found when data is displayed either graphically or visually rather than having to analyze the text or the spreadsheets.Data visualization closes the gap between actionable information and effective decision-making by helping businesses to understand data and how it correlates with issues.
It allows companies to identify root causes and solve problems more quickly and more effectively.If you want to Explore more about Looker?
then read our updated article - Looker Tutorial Looker has the following main features:Open APIIn-Database ArchitectureCreating dashboards is easy.Browser-Based InterfaceReal-Time Data ExplorationReports can be completely exported and customizableFlexible modeling languageLooker data visualization typesLooker offers many visualizations to make the data more understandable.
Some of the Looker data visualizations include bar chartPie chartColumn chartLine chartArea chartGrouped column chartDonut chartBubble chartStacked percent chartStacked column chartStacked bar chartThe following list includes some unique data visualizations provided by Looker:Collapsible Tree Diagram: It is an open-source tool which can be used to visualize hierarchical data in an interactive way.
