Data Visualization use cases Ideal charts and recommended tools

data visualization is

data visualization is Data visualization is a process that uses graphs and diagrams to display data and statistics to people who can easily and quickly understand them. It is the transformation of data with various characteristics such as numbers or word data into images or graphs that help viewers understand and analyze the data more easily. This type of data usage is useful in understanding trends, patterns, and relationships across data, which can help in making better decisions and analyzing data in different situations with the data presented in a clear and easy-to-understand format. In the eyes of the user.

Benefits of Data Visualization

Data Visualization There are many benefits. This includes:

Understanding data: Visualizing data in the form of graphs and diagrams turns complex information into clear, easily understandable images. Make it easier for viewers to see trends and important information.
decision: Information displayed in beautiful formats and graphics helps users make informed decisions. Because the trends and relationships of the data can be clearly seen.
communication: Data Visualization Helps to communicate information efficiently. By being able to display information for others to understand easily and more efficiently.
Data discovery: Looking at data in different ways may help you discover hidden information or relationships that were never seen before.
Data analysis: Using Data Visualization Assists in the data analysis process Because trends and relationships can be clearly identified.
Presentation of information: Presenting data in the form of Data Visualization It helps the presentation to be professional and leaves the audience understanding and impressed.
Data quality checks: Viewing data in Data Visualization format It helps in checking the correctness and friendliness of the information.
Prediction: Using Data Visualization It helps in modeling and predicting future trends.

In summary, Data Visualization It is an important tool for displaying and analyzing data in a way that makes it more understandable and usable in business and decision making.

Various chart formats suitable for Data Visualization

Choosing a chart format that is suitable for Data Visualization It depends on the nature of the data and the purpose of displaying it as follows:

1. Line Chart:

Line Chart: Used for showing data trends over time. Suitable for tracking changes in data over time, such as stock price graphs over time.

2.Bar Chart:

Bar Chart: Used for comparing data between groups or categories, such as comparing product sales each month.

3.Pie Chart:

Pie Chart: Used for displaying the proportion of data in a circle format. Suitable for showing the proportion of income or summarizing the share of the budget.

4.Scatter Plot:

scatter diagram (Scatter Plot): Used to show the relationship between two data variables. Suitable for finding relationships between data elements.

5. Gantt Chart (Gantt Chart):

Gantt chart (Gantt Chart): Used for showing work plans or projects based on time. Ideal for project management

6.Spider Chart

Spider Chart or Radar Chart : Used for displaying multivariate data in a categorical format in a single graph. Great for comparing multiple properties in the same category.

7.Frequency chart (Histogram):

Frequency chart (Histogram): Used for showing the distribution of data according to a range of data values. Suitable for knowing the frequency of data in a range of values.

8. Relationship chart (Heatmap):

Relationship chart (Heatmap): Used for displaying relationships between data in a colored table format. with colored highlights to show data values

9.Geographic Map:

Geographic Map: Used for displaying information related to a geographic area. Suitable for showing the location or distribution of information in an area.

Choosing the right chart format is essential to providing interesting and understandable data in Data Visualization. You should consider the nature of the data and the purpose of communicating it in order to choose the most appropriate chart format.

Other formats suitable for
Data Visualization

Tables: Using tables in Data Visualization Helps display information in an orderly and clear manner It is suitable for displaying data that requires users to easily find exact values and compare data across rows and columns.
Maps: Using maps in Data Visualization Helps display information related to a geographic area, such as showing the distribution of information in a map format. or displaying information linked to a geographic location Ideal for presenting location-related information.
Infographics: Using Infographics in Data Visualization It helps in presenting information in a concise and interesting way. Infographics combine data, graphs, images, and text in a creative way so that users can understand information quickly and in an engaging way.
Dashboards: Using Dashboards in Data Visualization It helps in combining data from multiple sources and displaying it in a single screen. Users can view data and trends at a summary and detailed level according to their needs. Dashboards are often used to track the status and management of enterprise data.

Selecting the appropriate format for Data Visualization It depends on the purpose of the display and the nature of the information contained. This is because each format has different advantages and limitations. The needs should be considered in order to make the data display effective and help in decision making and the best understanding of the data.

Introducing 3 Data Visualization tools

Here are some interesting tools for Data Visualization. Where you can use:

1.Tableau:

Tableau is a tool that has the ability to create animated graphs and maps and has the ability to connect to data from various sources such as databases and data files.

2.Microsoft Power BI:

Power BI is a Data Visualization tool. efficient Data can be displayed in beautiful graphs and maps and designed with animations.

3.Google Data Studio:

It's an easy-to-use online report and chart creation tool. It can import data from sources such as Google Sheets, Google Analytics, and BigQuery.

4.QlikView / Qlik Sense:

For businesses that need detailed data analysis and used in decision making This tool from QlikTech is a good choice.

Techniques for making Data Visualization interesting

Data Visualization It's important to be interesting so that your information is impactful and effective for your viewers. Here are some techniques you can use to make your Data Visualization work. More interesting:

Choose the appropriate information: Select the information that is important and appropriate for your purpose to display. Choose information that allows viewers to understand and learn new things.
Design appropriate graphs and maps: Consider which graph or map design is best for your data and message. Create interesting, dimensional and colorful graphs.
Use color effectively: Using colors correctly can highlight important information and make it easy for viewers to understand. Be careful of using too many colors that might confuse the information.
Add additional media information: Use text, photos, tags, or grids to explain and enhance your understanding of your data.
Sorting and distributing data: Arrange and distribute data on a graph or map in a neat, easy-to-read manner. Reduce clutter in looking at data.
Use highlighting: Use highlighting or symbols to emphasize important information or key points in a Data Visualization.
Completion: Add important statistics such as averages, maximums, or minimums. To increase understanding and interest in information.
Using new technology: You can use technology to create and display data efficiently, such as using interactive dashboards or creating animations to show how data changes over time.
Testing and improvements: Test your impressions with your audience and get feedback. To improve and increase efficiency in Data Visualization.

Using these techniques will help Data Visualization. Make your information more interesting and effective in communicating information and making decisions.

Cases of using Data Visualization with good results

There are many cases where Data Visualization can be used. Has become famous and has had a good impact on various matters such as

Tracking the COVID-19 outbreak: During the COVID-19 outbreak, the use of maps and graphs to display viral outbreaks has received much attention. It helps in tracking the number of infected people, the follow-up rate, and the international spread of the disease.
Display of election information: In Global Elections, Data Visualization It is used to present information about votes and election results. This allows viewers to clearly understand voting trends and the division of votes.
Business data analysis: Businesses use Data Visualization In analyzing business data such as analyzing sales data, customer base, and profit and loss. To help make decisions about business strategy.
Creating infographic media: In online and print media, the use of Data Visualization In the form of infographics, information can be presented in an interesting and effective way, such as data graphs in news reports or articles.
Public data analysis: Government organizations and government agencies use Data Visualization. In displaying public information, such as displaying health, education, and public service information.
Financial data analysis: Financial Companies Use Data Visualization So that customers can clearly view and analyze their investments and personal finances.
Scientific data analysis: In the science and research circles, Data Visualization Helps display research data, such as displaying scientific experiment results and data relationships.
Following social trends: In Social Media, Data Visualization Used to display social data, such as displaying social media follower statistics or analyzing the distribution of tags for social posts.

These cases are examples of how Data Visualization can be used in various fields and how to present data in an engaging and effective way to your target audience.