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Introduction

Visualizing data is both an art form and a science. Some books provide their best case on creating a compelling narrative for what makes visualization appealing. Still, these texts may fall short since oftentimes; the research is based on survey data (which does not always reflect truth). The science behind most of these texts is qualitative in nature, and that form of analysis may not be applicable across a spectrum. In addition, you may also find that you’re being asked to deliver for a project with vague direction.

With express candor, I can assure you that there are no universal rules to developing a compelling visualization, and you will often be thrust into projects with little direction. If there are no universal rules, then how does a visualization become compelling?

“Compelling” is a story that is told by the use case for visualization. Though there are no universal rules to a compelling visualization, there are ways to ensure your development is useful.

Compelling visualizations typically include the following:

Intuitive and simple

Firm science and math

Stakeholder approval

This article was published as a part of the Data Science Blogathon.

Table of Contents Intuitive and Simple

First and foremost, the purpose of any visualization is to tell a story (and visualization happens in a number of ways). So with that in mind, do not limit yourself to strictly bar graphs and line graphs. There are times when simple text will convincingly tell the story. More specifically, your intuitive visualization should be able to convey a message at a glance. Meaning that, without words and within 10 seconds, someone should be able to understand the meaning of your visualization. Implicitly, your visualization must be simple enough to understand.

Do this

Instead of this

Though the above example is trivial, you can imagine which one would be more appealing to tell the story of the data. Also, note it may be easy to notice a steady increase in annual revenue from the table shown, but in your actual projects, datasets may not be this small. For example, you may find yourself working on visualizing daily sales of your favorite snack food for the previous three years.

Lastly, do your best to avoid using overly technical terms in any visual, trust me. Your job is never to reveal your data’s r-squared value but rather to explain what it means “in English” or your given language. If you want to explain your data’s high variance, a numeric value is not helpful; instead, you can show graphically that it is hard to find any trends in the data because the data points are too scattered or dispersed.

Here is an added benefit of intuitive and simple visualizations, it makes people want to look more. When your work is easy to understand, your audience will not feel overwhelmed or confused. As a visualization expert, you should be able to explain your work without using too many academic terms. In the United States, there is a saying when someone is speaking in terms, only experts would know, “Tell me in English.” Essentially, this means the expert, for all their hard work to gain knowledge, has no ability to communicate with the people they are trying to help. Keep your visualizations intuitive and simple so as not to overwhelm your audience, and when they want to understand more, be ready to speak simply about the findings and insights you have worked hard to generate.

Firm Science and Math

Data visualization is important, but one of the unsung heroes (the component that may be overlooked) is actually the analysis that allows for visualizations. It is similar to going to a concert to see your favorite musician without considering all the people it took to build the stage the musician stands on. Without the proper science or math (depending on your project), your visualization may compel people to ignore your work. The role of the science and analysis may not be yours, but as someone responsible for creating the face of your data, you have to have an eye for when data quality may be lacking. As such, you must review the data you are actually trying to visualize! This is not quite Exploratory Data Analysis, but it is more of a peer review. Remember, you’re working on a team to deliver a product, and if you can catch a mistake early, you save time and energy for many involved.

It is not enough to view the data, though; the analysis is also imperative so that you can properly build your visualizations. In the example above, where you were asked to visualize annual revenue, how do you know what type of trend line to use? There are various types of trend lines [including but not limited to], linear, polynomial, and exponential. If you select a polynomial trend line, how do you know to what degree your polynomial equation should stop? You may have also heard this described as a degree of freedom.

In the above example, we used a moving average with a trailing period of two, but there could have been any number of trend lines attached; however, what makes sense for your project is solely up to you… at least during the development process (keep in mind that you are the technical expert, so these types of decisions typically rest with you however, always leave room for input from peers). Below are various types of trend lines that could be applied to the same graph.

Simple Linear Trend Line

Polynomial Degree 10 Trend Line

Exponential Trend Line

This example illustrates the importance of the science and math behind visualizations and is not as simple as dragging and dropping elements. Given the example, if you were to submit a graph with an exponential trend line, you would be telling an incomplete story. The trend line does not capture all the data elements.

Along with the science and math behind the visualizations, sometimes, you have to include data in separate files that helps to explain why the data is the way it is. For example, in the given an example, we see that for the year 2023, the business did not do very well. What factors contributed to this? Was there anything outside of normal business operations that could have created such a downturn? Were there any insurmountable external factors? For this reason, it is always helpful to include a breakdown of your data, and this can be accomplished in any way, but it is imperative that there be some rationale behind the data. Essentially, you want to allow the data breakdown to answer questions for you to prevent a revolving door of Q&A between you as the developer and any member of leadership (if someone has to continue to come to you for questions on your visualizations, you are not sufficiently visualizing data).

Stakeholder Approval

Ultimately, to make your visualization compelling, you have to get the approval of the project lead. I mentioned earlier that technical decisions are yours… during development. The truth is, ultimately, you have to earn the approval of your project lead. The project lead typically reports updates and results (or you may get to if you are not shy of presentations) to their lead; that process can repeat itself to the head of your organization or your investor.

You should aim to create visualizations that are beyond your wildest dreams the first time, though in reality; there is a lengthy process of development and review before acceptance, so be prepared to continue developing your visualizations.

Advantages of these tips:

These tips I have listed may seem basic. However, when these simple tips are followed, it can lead to opportunities you never thought possible. In some cases, if your work is great, you can present to many different teams in your organization, from managers to presidents; the possibilities are numerous. Presenting to leadership may seem trivial, but do not underestimate the power of getting in front of your leadership, even if it is only once. In addition to presentation opportunities, as your work improves, you will become a recognized expert (meaning you are proving your worth to your organization), which helps build a positive reputation for you and builds trust in your peers.

Conclusion

Most likely, your data will continue to evolve anyway, and as that happens, you may need to make adjustments. You may also find yourself recreating visualizations because you’ve migrated to another software as different tools increase in popularity. Basically, the development process for creating compelling visualizations is a continuous cycle.

As you continue to go through the development process, remember that your visualizations should be:

Intuitive and Simple: With a quick glance (and with no words), your visualization should tell a clear story, and then you should be able to explain your insights clearly (and simply).

Firm on Science and Math: Though you are creating data visualizations, your work is no less important than a data scientist, and your science and math need to be just as good.

Stakeholder Approved: You have to seek the approval of your project leaders in order to consider your work great truly; without their support, you may not succeed very much.

The media shown in this article is not owned by Analytics Vidhya and is used at the Author’s discretion.

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You're reading How To Create Compelling Visualization?

Geospatial Visualization Via Folium Library

This article was published as a part of the Data Science Blogathon

Overview

Nowadays, there are multiple data science projects requiring the use of interactive geographical plots. Making such interactive plots is possible through various tools, one such tool is the Folium library of python

This article focuses on the use of the Folium library for creating impressive geo visualizations.

Introduction

Geospatial visualization of geographic visualization is the use of geospatial visualization tools and techniques for the analysis of geospatial data. Geospatial data visualization aims to add interactive visualization into traditional maps, which helps explore different layers of a map and experiment with the appearance of the map while analyzing different factors of the geographic area and location.

Interpreting maps have always been a crucial part of geospatial analysis. One of the best ways to study maps is through interactive visualization. Such visualizations help us to derive important insights for solving complex data science use cases.

Multiple tools can be used for geospatial visualization, One such tool that we would be focussing on is Folium.

Folium is a powerful python library specialized in creating several types of Leaflet maps. It is one of the most common tools for interpreting and deriving insights from maps.

With Folium, a map of any location can be created by just using the latitude and longitude values. It enables both the binding of data to a map for choropleth visualizations as well as passing rich vector/raster/HTML visualizations as markers on the map.

Folium has multiple exciting features to offer, which we would explore throughout this project!!

Learning Objectives

Understanding Geo-Visualization

Explore Folium for map plotting

Build Stamen Toner and Stamen Terrain Maps

Locating and visualizing various cities throughout the World

Applications in real life

Installation

Install the latest version of folium in your jupyter notebook by the following command and get started!

pip install folium Import necessary libraries

Import the libraries required to carry out the project. We would be using the NumPy library which is useful for scientific computing in Python. Pandas library is the primary data structure library. Along with the Folium library for geo-visualization.

import numpy as np import pandas as pd import folium Exploring basic maps

Let us start by plotting basic maps. We can create the world map by using folium.map() function. With this simple command, we can see the world map being plotted.

world_map = folium.Map() world_map

Now we can make the plot for a specific country by pre-adjusting the zoom level. For plotting specific locations we have to input the latitude and longitude of the area.

We can plot the map for India by providing the latitude as 20.5937 and longitude as 78.9629. Set the zoom level accordingly.

world_map = folium.Map(location=[20.5937, 78.9629], zoom_start=4) world_map world_map = folium.Map(location=[28.7041, 77.1025], zoom_start=6) world_map

Folium provides us with the ability to interact with the maps by custom zooming, marking, and sliding along with other features as well.

Stamen Toner Maps

Stamen toner maps are quick easy to visualize they produce beautiful highly contrasted black and white maps. They are mostly used for data mashups, exploring river meanders and coastal regions.

We can use the “Stamen Toner” tile to create the same, simply add this tile to the earlier created Map function and plot the map.

world_map = folium.Map(location=[28.7041, 77.1025], zoom_start=4, tiles = "Stamen Toner") # display world map world_map Stamen Terrain Maps

Let us now try this out by specifying the tile as “Stamen Terrain”.

world_map = folium.Map(location=[28.7041, 77.1025], zoom_start=4, tiles = "Stamen Terrain") world_map

Now that we have understood the basics of plotting different maps by using the Folium library. So, why not experiment some more by visualizing the specific city or area according to our project requirements!!

Here I am visualizing the beautiful Dehradun city by choosing its latitude and longitude.

latitude = 30.3165 longitude = 78.0322 # create map and display it dehradun_map = folium.Map(location=[latitude, longitude], zoom_start=10) # display the map dehradun_map Real-life Application

To understand the importance of plotting and visualizing maps, we must explore the real-life application of geo-visualization.

Data importing

Let us get started by importing a dataset, for this project we would be using the police department incidents using the Pandas library.

df.head()

Display the first five records by using the df.head() function. And study the data at hand.

Using the shape function we can see that our dataset consists of 150500 rows and 13 columns. These are the number of incidents that took place in the year 2023. This is a huge dataset and would require a lot of computational power, so let us just work with the first 100 values.

df.shape limit = 100 df= df.iloc[0:limit, :] Visualization

Visualize the incidents that took place in the year 2023. For plotting the map let us start with the default style and specify the latitude and longitude of San Francisco followed by initializing the zoom level to 12.

latitude = 37.77 longitude= -122.42 sanmap = folium.Map(location=[latitude, longitude], zoom_start=12) sanmap Adding Markers

To make the map more interactive we can integrate the locations of the crimes onto the map.

This can be done by using the FeatureGroup() function of the Folium library. For this, we can create a feature group with its own features and style and add it to the map.

Firstly, instantiate a feature group for the incidents in the data frame.

incidents = folium.map.FeatureGroup()

Iterate through the crimes and add them to the incidents feature group. We can choose any desired color for the markers, and set the size of the marker by specifying the radius.

for lat, lng, in zip(df.Y, df.X): incidents.add_child( folium.CircleMarker( [lat, lng], radius=5, color='yellow', fill=True, fill_color='blue', fill_opacity=0.6 )) Adding pop-up text

We can also add some pop-up text that would get displayed when you hover over a marker. These pop-ups can display anything we want. Here, each marker should display the category of the crime.

for lat, lng, in zip(df.Y, df.X): incidents.add_child( folium.CircleMarker( [lat, lng], radius=5, color='yellow', fill=True, fill_color='blue', fill_opacity=0.6 )) latitudes = list(df.Y) longitudes = list(df.X) labels = list(df.Category) for lat, lng, label in zip(latitudes, longitudes, labels): folium.Marker([lat,lng], popup=label).add_to(sanmap) sanmap.add_child(incidents) Removing Location markers

In case we don’t wish to display the location markers, we can simply add text to circle markers. And create the map and display it.

sanfmap = folium.Map(location=[latitude, longitude], zoom_start=12) for lat, lng, label in zip(df.Y, df.X, df.Category): folium.CircleMarker( [lat, lng], radius=5, color='yellow', fill=True, popup = label, fill_color='blue', fill_opacity=0.6 ).add_to(sanfmap) sanfmap

End Notes

We have discussed the use cases and real-life applications of geospatial visualization. Explored the Folium library to plot various types of Maps. Folium. Further experiment with Folium to create powerful and interactive visualizations!!

For more information on the use cases and application of the Folium library do visit the official Folium GitHub page.

The media shown in this article are not owned by Analytics Vidhya and is used at the Author’s discretion.

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How To Create Webservice In Java?

Introduction to Webservice in Java

Nowadays, the Internet has become an inseparable thing from our life. We get service from different web applications over the internet via webservices. So, webservice is inevitable for running Internet activities. Here in this article, we will discuss how to create web services using a java programming language. In this topic, we are going to learn about How to Create Webservice in Java.

What is Webservice in Java?

Web service is primarily responsible for communication between different programming languages, which is achieved over the network. For example, PHP can talk with .NET via web services. Basically, it provides inter-language communication through the web. So, those services which are accessible through the network are web services.

But there is another item called a web application that users can also access. But web applications are significantly different from web services in many aspects. Web applications can be accessed using web browsers, and applications are in simple, readable formats. But web services can access data in JSON, XML, etc.

Web services use REST or SOAP protocol, whereas web applications follow HTTPs/HTTP protocols. Basically, Web applications use web services for data acquisitions and operations. Web applications are stateful, which means they may store user sessions, but web services do not.

To summarize, web service and web applications are two different things and serve different purposes.

Types of Web Services in Java

Let us have looked at different types of web services:

1. SOAP

This is basically based on XML, which Microsoft creates. Since a long, Simple Object Access Protocol is a standard for designing and developing web services. XML provides language independence to SOAP. Therefore, client and server applications are of different languages; SOAP can provide seamless service, ensuring their smooth operability for client and server communications.

2. REST

It allows many formats like JSON, XML, etc. This feature gives REST better flexibility. Representational State Transfer (REST) based web services are mostly used nowadays for their simplicity and better integration with web clients. As REST supports JSON, it provides faster and easier parsing than SOAP. Many companies like Google, Amazon, and Yahoo use REST for their web services.

Java Web Services

Java has in-built APIs for SOAP and REST; you can create your own web service by using those. For SOAP, java has JAX-WS. For REST, java has JAX-RS. You can write either JAS-WS or JAX-RS based web services as per your requirements. Both JAX-WS and JAX-RS are integrated with standard JDK so that you do not require external jars to get the required libraries. Web Services Description Language (WSDL) is the language by which java web services can interact with other web services or applications.

1. JAX-WS

For XML Web Services (JAX-WS), Java API is basically a SOAP-based web service in java for client-server applications. As it is based on SOAP, it purely based on XML. It uses various annotations to ease overall build and deploy for web services in the server. Two styles you can follow while writing JAX-WS: Document style and RPC style

2. JAX-RS

Java API for RESTful Web Services is basically a REST-based web service in java for client-server applications. As it is based on REST, it is based on JSON, XML. It also uses various annotations to ease overall build and deploy for web services in the server. Two styles you can follow while writing JAX-WS: RESTeasy and Jersey style.

How to Create Webservice in Java?

Here we will use Eclipse IDE for this. You just need to follow step by step as mentioned below with screenshots to create a simple web service in java.

On the server tab, add one server (here I am using tomcat) in which you will run your web services.

After that, you can see the server is created in the “Stopped” state; we will start the servers before running our application.

Now we will start our server.

Now we will open project explorer for java EE.

Now we will create our web service.

Could you give it a name (here, WebAdder)? Follow the below picture and do exactly the same as what is in there.

You will see your project is added as below

Now create a class.

This class will be acting as a web service, so whatever methods we will write inside this class will act as web service methods.

Step 9: Below is the code:

package com.tutorial.ws; public class WebAdder { public int addition (int nm1, int nm2){ return nm1+nm2; } }

Now we want to make the class and method as a web service; for this we need to do the following:

On the next page, as in the below screenshot, you can see that, addition () method becomes a web service method that will go in the WSDL document.

Step 13: Then, you will see that two fields will come, num1 and num2, to provide user input.  Refer to the below screenshot:

Step 14: Give some random integer values to get the result

Recommended Articles

This is a guide to How to Create Webservice in Java? Here we discuss what is web services in Java; in the above step by step example, we have shown how to create a web service in java. You may also look at the following article to learn more –

How To Create An Effective Telecommuting Policy

Create a telecommuting policy that is comprehensive and specific about details like eligibility, frequency, productivity, expectations and requirements, power structure, cybersecurity, and communication methods.

Have a clear plan in place for addressing telecommuting policy violations, and enforce your telecommuting policies fairly.

Use productivity applications, software and frequent employee feedback to determine the success of your policy.

This article is for business owners and managers who want to create a successful telecommuting policy for their remote or hybrid workforce.

Because there has been a major increase in people working from home since the pandemic, having an effective telecommuting policy is more important than ever. And now, after many companies have settled on permanent remote or hybrid workplaces, it’s essential to have policies that clearly outline these working arrangements. These policies will give employees a sense of what is and isn’t acceptable and can help everyone stay efficient and productive.

“Allowing people to work from home … attracts and retains top talent in a competitive market,” Brian Shapland, director of sales for Ancillary & Shared Spaces, told Business News Daily. “But there are factors to consider when giving your team the green light to work outside the office, like the impact it may have on employee engagement, team connectivity and the vibrancy of your office culture.”

The option to work outside the office is a dream come true for many employees who want better work-life balance. But without guidelines, managing remote employees can quickly become a boss’s worst nightmare. As your company grows, it’s a good idea to put a formal telecommuting program in place to help you keep track of employees who work remotely and ensure everyone is performing at their peak, regardless of location.

Why is a telecommuting policy important?

Working from home is the future of work. In fact, Gallup found that 45% of full-time U.S. employees spend at least some time working remotely, and roughly 60% of workers listed productivity as one of the top reasons they prefer hybrid or remote work.

Without a clear telecommuting policy, though, companies can flounder. Working from anywhere, whether at an office or at home, provides room for distraction. By spelling out your work-from-home policy, you can define exactly what’s expected of employees.

Did You Know?

Gallup found that 6 in 10 workers prefer their employer to establish clear telecommuting guidelines.

How the COVID-19 pandemic impacted telecommuting

While working from home used to be a luxury that very few were afforded, the COVID-19 pandemic quickly changed that. Companies were forced to abruptly switch to a remote workforce to keep their employees safe. Soon after, many realized just how beneficial telecommuting was.

In the survey mentioned above, Gallup found that many employees preferred telecommuting because it was better for their well-being, it allowed them more flexibility, they had fewer distractions, they felt more productive and they saved time not having to commute. Employees found these benefits to be so favorable that 94% of employees surveyed prefer some form of remote (49%) or hybrid (45%) work arrangement.

The aftermath of the pandemic has also resulted in workers being more selective about which companies they work for. Although competitive salary is still important, the type of employee benefits you offer can make a major difference in your ability to attract and retain employees. The combination of 10.4 million job openings and what has been coined “the Great Resignation” has forced employers to think critically about which benefits they offer, according to the U.S. Bureau of Labor Statistics.

Based on general employee sentiment, it is essential for companies to offer some form of flexible work arrangements, when possible.

Did You Know?

Gallup found that 37% of remote workers and 19% of hybrid workers would be “extremely” likely to look for another job if their employer removed the option to work from home.

“It is important to provide very specific guidelines and policies for employees to review and acknowledge [regarding] the telecommuting arrangement,” Davis added. “A quiet and private workspace is still needed [in the home], and work hours require full attention and dedication – no watching the kids while trying to work.”

3. Equipment and cybersecurity

An often-overlooked element of remote work is the security of the corporate data workers are accessing outside of the secure office network. Hunter Hoffmann, senior vice president of global marketing and communications at AmTrust Financial Services, recommended monitoring the devices and programs employees use when they work from home, and setting up safeguards against any potential hacks or breaches. It’s also helpful to educate employees on how to set up a secure home office. [Looking for employee monitoring software to track employee productivity and security? Check out our picks for the best employee monitoring software on the market.]

“Enabling employees to work remotely opens up the likelihood that they’ll use their work devices to communicate via unsecured public networks,” Hoffmann said. “Password-protect all business devices, [and] make sure that data going out from [those devices] is encrypted. Keep a current inventory of all devices, and make sure each one has its GPS tracking turned on. Additionally, install technology to remotely wipe data from any device that has been lost or stolen.” 

Davis added that if company-issued devices are taken home for remote work, employees should be aware that the equipment and any programs on them are to be used only for work-related purposes.

4. Communication methods

In many offices, instant messaging and chat services have become the communication method of choice due to their ease of use and convenience. It makes sense to have the whole team connect with each other through these platforms for quick discussions and collaboration, but employees who aren’t physically there need the benefits of face time, like their in-office colleagues have. Therefore, frequent phone calls and video conferences should be part of your routine with remote workers to ensure that nothing gets lost in translation via text-based communication. 

Tip

Video conferences are beneficial only when they are used strategically. Follow these 10 tips to host a productive video conference.

How To Create Chart Or Graph Templates?

Chart Templates in Excel

The following article provides an outline for Chart templates in Excel. Pictures can communicate more than you do with words. This increases the visibility of the data that you want to present. This is the reason we use a chart or graph template with Excel. Instead of showing complicated data, a precise form of a chart is preferred. Excel provides a variety of options to deal with charts. The challenge is opting for the appropriate style, which perfectly matches the data you want to showcase.

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How to Create a Chart or Graph Templates in Excel?

With the available styles, you can create a chart or graph, and if you want to make it as a template for further use, you can save the created graph as a template in Excel. This will help you to process the same kind of data further.

You can download this Chart Excel Template here – Chart Excel Template

Below is an example of making a customized chart and save it as a template in Excel.

It is given sales done for a year in different months. The sales are made in Kg, and the price is given.

By using this table, we need to create a graph. Here it contains the variables or components as Month, Unit sold, and Price. And we expect these three in the same graph.

Here you will get the customizable charts according to the data you want to represent.

You will get two different tabs. Select All Charts from the pop-up window.

Go to the Combo option.

You can select the pre-defined graphs to start quickly. You can see the built-in styles at the top of the dialog box.

The final chart will be as below.

The X-axis shows the months and Y as sales, and the secondary axis shows the month and sales price. This makes a perfect match for the data given in the table.

The final view will be as below.

You will get the dialog box to select the location where you want to save the chart Excel template. But to get it within Excel, I have saved the file in AppDataMicrosoftTemplatesCharts, the default location for templates.

How to Use the Saved Chart Template in Excel?

Whenever you use the same type of data, you can use the saved templates to generate the chart in Excel.

Once you select the column of data that you want to make as a graph, go to the Insert menu, then Recommended Charts.

You can see the below-listed. Select the Templates folder.

You will get the same saved chart templates for your desired data.

How to Set a Default Chart Template in Excel?

The default chart type is a two-dimensional column chart in Excel. It is possible to set a saved template as your default chart.

Select the data which you want to make as a graph. Go to the Insert menu, then Recommended Charts option.

Now the template has been set as the default template.

How to Delete a Chart Template in Excel?

If you no longer use a chart template, you can delete the template using Manage Templates.

Select the Insert menu go to the Recommended Charts option.

The default location of the saved templates will be opened. You can see the saved templates here.

Now the chart template will be deleted from the saved templates.

Things to Remember 

Graph templates help to represent your data in a pre-designed graph in Excel.

If you use and generate the same chart type with different data sets daily, you can use the chart or graph templates in Excel.

Any generated chart or graph can be saved as a template and used in Excel.

Once you save the templates within the default location, it is possible to use them as a template with any other data.

It is easy to manage the template; if you are no longer using it, you can delete it.

Recommended Articles

This has been a guide to Chart Templates in Excel. Here we discussed How to Create, Use, Delete, and Set a Default Chart or Graph Template in Excel, practical examples, and a downloadable Excel template. You may also look at these suggested articles –

How To Create A Whatsapp Broadcast List

How To Create A WhatsApp Broadcast List

This is the main difference between a WhatsApp Group and a WhatsApp broadcast list, where in WhatsApp group you can see all the members in the group. It also gives users in the group the facility to chat amongst themselves.

With the help of this article, you will be able to gain knowledge about how to make a broadcast list in WhatsApp, how to delete broadcast WhatsApp list, how to edit contacts on WhatsApp broadcast list and also how to send messages to your WhatsApp broadcast list. Let’s cover them one by one.

How To Create A WhatsApp Broadcast List?

To make a WhatsApp broadcast list, follow the steps below:

1. Navigate to WhatsApp on your Android phone.

This is how you create a broadcast list in WhatsApp.

Learn How To Edit A WhatsApp Broadcast List:

Now that you know to make a broadcast list in WhatsApp, let’s see how to rename a WhatsApp broadcast list. Add Contacts to it and also how to delete a broadcast list on WhatsApp.

How To Rename WhatsApp Broadcast List:

After you have your WhatsApp broadcast list ready, next you need to know is how to give it a name. To do so:

1. Open the broadcast list you have created.

2. Tap on the three dot icon from the top-right corner.

3. Tap on the option Broadcast list info from the drop-down menu.

How To Add/Remove Contacts WhatsApp Broadcast List:

You can now add/remove contacts by tapping them as per your convenience.

How to Broadcast In WhatsApp?

After you have created the WhatsApp broadcast list, now is time to send messages to contacts in the list. This procedure is similar to sending a normal message over WhatsApp.

Simply tap on the broadcast list on WhatsApp, type your message and send it across as you send a message to a single contact.

One thing to be noted here is that you can only send a broadcast message to a contact if you are added as a contact in their WhatsApp list.

Also Read: Everything About Scheduling Messages On WhatsApp On Android

How To Delete A WhatsApp Broadcast List?

The WhatsApp broadcast list may take a few seconds to delete and once done cannot be recovered.

A WhatsApp broadcast list is helpful when you want to send the same message to a group of people without them knowing who the other recipients are. It is always sent as a separate message to individual contacts. In case you still do not know how to make a broadcast list on WhatsApp, this article will definitely help.

Read Next: 

How to Send Large Video Files on WhatsApp

How To See WhatsApp Status Without Users Knowing On Android?

WhatsApp Limits Forwarding Messages to One-Contact-at-a-Time

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