A school is an educational institution designed to provide learning spaces and learning environments for the teaching of students (or “pupils”) under the direction of teachers. Most countries have systems of formal education, which is sometimes compulsory.

Answer: When I hear the word data I think about the amount of data on my phone. Data allows me to go into apps and use the internet when I’m not connected to wifi. Data can be found in places such as computer files, and hard drives.

Answer. Answer: it helps us prevent hazards and keeps us safe from it.

Data can be found in places such as computer files, and hard drives. Data comes from social, transactions, and machine data.

English Language Learners Definition of data : facts or information used usually to calculate, analyze, or plan something. : information that is produced or stored by a computer. data. noun plural. da·​ta | / ˈdā-tə , ˈda-tə /

The bulk of big data generated comes from three primary sources: social data, machine data and transactional data.

Media is the most popular source of big data, as it provides valuable insights on consumer preferences and changing trends.

Here are some of the most common types of data collection used today.

1. Surveys.
2. Online Tracking.
3. Transactional Data Tracking.
4. Online Marketing Analytics.
5. Social Media Monitoring.
6. Collecting Subscription and Registration Data.
7. In-Store Traffic Monitoring.

Here are my 10 tips for presenting data:

1. Recognize that presentation matters.
2. Don’t scare people with numbers.
3. Maximize the data pixel ratio.
4. Save 3D for the movies.
5. Friends don’t let friends use pie charts.
6. Choose the appropriate chart.
7. Don’t mix chart types for no reason.
8. Don’t use axes to mislead.

In this article, the techniques of data and information presentation in textual, tabular, and graphical forms are introduced.

1. 1) Make sure your data can be seen.
2. 2) Focus most on the points your data illustrates.
3. 3) Share one — and only one — major point from each chart.
4. 4) Label chart components clearly.
5. 5) Visually highlight “Aha!” zones.
6. 6) Write a slide title that reinforces the data’s point.
7. 7) Present to your audience, not to your data.

How to present data visually (data visualization best practices)

1. Avoid distorting the data.
2. Avoid cluttering up your design with “chartjunk”
3. Tell a story with your data.
4. Combine different types of data visualizations.
5. Use icons to emphasize important points.
6. Use bold fonts to make text information engaging.

10 useful ways to visualize your data (with examples)

1. Indicator. If you need to display one or two numeric values such as a number, gauge or ticker, use the Indicators visualization.
2. Line chart.
3. Bar chart.
4. Pie chart.
5. Area chart.
6. Pivot table.
7. Scatter chart.
8. Scatter map / Area map.

Writing about data: 3 ways to make it more interesting and…

1. Use real images. Visual pictures are the friend of the data writer.
2. Write short sentences and paragraphs. Today’s writing is meant to be digested on phones and tablets.
3. Infographics. Infographics may cause you to dispense with writing altogether.

Visualization methods that show data over a time period to display as a way to find trends or changes over time.

1. Area Graph.
2. Bubble Chart.
3. Candlestick Chart.
4. Gantt Chart.
5. Heatmap.
6. Histogram.
7. Line Graph.
8. Nightingale Rose Chart.

Presenting data in tables

1. Preparation of tables.
2. Title. Every table must have a brief descriptive title.
3. Structure.
4. Headings and sub-headings.
5. Numerical data.
6. Other notations.
7. Statistics.
8. Text.

Reporting Statistical Results in Your Paper

1. Means: Always report the mean (average value) along with a measure of variablility (standard deviation(s) or standard error of the mean ).
2. Frequencies: Frequency data should be summarized in the text with appropriate measures such as percents, proportions, or ratios.

Communicating Data Effectively

1. Tailored to the needs of stakeholders.
2. Good design aids understanding and appeals to users.
3. Colors are important to communicate data effectively.
4. Select the right chart technique.
5. Consider the hierarchy of data.
6. Make it easy to interact with data.

Effective Data is a leading worldwide electronic data interchange (EDI) provider that develops and manages technically robust data movement solutions that maximize productivity and profitability.

Data interpretation is the process of reviewing data through some predefined processes which will help assign some meaning to the data and arrive at a relevant conclusion. It involves taking the result of data analysis, making inferences on the relations studied, and using them to conclude.

In these cases, the most effective visualizations include:

• Pie charts.
• Waterfall charts.
• Stacked charts.
• Map-based graphs (if your information is geographical)

Bar Chart Bar charts are such a popular graph visualization because of how easy you can scan them for quick information. Bar charts organize data into rectangular bars that make it a breeze to compare related data sets.

If you want to compare values, use a pie chart — for relative comparison — or bar charts — for precise comparison. If you want to compare volumes, use an area chart or a bubble chart. If you want to show trends and patterns in your data, use a line chart, bar chart, or scatter plot.

Bar Chart chart

The simplest way to show ranking data is through a column or bar chart, ordered by frequency from greatest to least. These charts work just fine, most of the time. When do they fall short? Well, when the values in your data set are all high, such as in the 80% to 90% range (out of 100%).

Types of Graphs and Charts

• Bar Chart/Graph.
• Pie Chart.
• Line Graph or Chart.
• Histogram Chart.
• Area Chart.
• Dot Graph or Plot.
• Scatter Plot.
• Bubble Chart.