Shares of Concord Biotech surged 8 percent to hit a record high of Rs 1,177.00 on October 6 after foreign brokerage firm Jefferies initiated 'buy' call on the stock. Jefferies remains bullish ...

Concord Biotech hits record high after Jefferies initiates 'buy' call; sees 19% upside

An unidentified fungal killer swept through a South African pine plantation in the 1980s. Rodger ShagamIn the 1970s and 1980s, pine trees growing in various forestry plantations in South Africa’s Western Cape province began to die in patches.

A mystery disease hit South Africa's pine trees 40 years ago: new DNA technology has found the killer

In the 1970s and 1980s, pine trees growing in various forestry plantations in South Africa's Western Cape province began to die in patches. These trees succumbed to a mysterious root disease and the patches expanded gradually.

A Mystery Disease Hit South Africa's Pine Trees 40 Years Ago - New DNA Technology Has Found the Killer [analysis]

Shares of Panacea Biotech slumped around 5 percent intraday on October 13 after the US Food and Drug Administration slapped a Form 483 with nine observations on its biologics manufacturing ...

Panacea Biotech slumps 5% after US FDA issues 9 observations on Baddi facility

A group called the Incubate Coalition, comprising the venture capital firms that bankroll most biotech startups, is pressing US lawmakers to extend by four years the time that pills can be on the ...

Biotech investors push to extend time before pills are subject to price negotiations

It's not a Cannes linen suit or a designer tux. It's you calling Chris Pine from the driveway, asking him to help you bring in the groceries, and this is what he shuffles out of the house in.

Long Live Chris Pine Autumn

Biotech investment fund reckons sector is poised for growth but Australia not ready to capitalise on growth Per capita, Australia leads biomedical research productivity but invests substantially ...

Global biotech sector set to boom but where are Aussie investors?

On the last day, Concord Biotech had a BSE volume of 22,598 shares, with a closing price of ₹1143.85.

Concord Biotech share price Today Live Updates : Concord Biotech closed today at ₹1174.9, down -1.25% from yesterday's ₹1189.8

Get the most recent info and news about Pine Biotech on HackerNoon, where 10k+ technologists publish stories for 4M+ monthly readers.

Pine Biotech: Our vision is to enhance human health and well-being by enabling Biological Research and Discovery with relevant data.

Pine Biotech

Meet the Winners of Startups in North and Central America

AI in Five, Fifty and Five Hundred Years — Part Two — Fifty Years

The Life Extension Revolution — Part 1

Articles are currently gushing about the AI Pin, a screen-less digital personal assistant that promises to redefine how we interact with technology. While the AI Pin holds immense potential for enhancing our lives, it's crucial to recognize that, like any other wearable device, it comes with its set of security risks and potential for misuse. In this piece, we will discuss how the AI Pin can be used to harm people and explore the measures that can against these risks. safeguard Security Risks Associated with Wearables Before delving into the potential harm of the AI Pin, it's essential to understand the broader security landscape of wearable devices. According to , there are several security risks commonly associated with wearables: CSO Online Vulnerability to Hacking: Many wearable devices lack robust built-in security, making them vulnerable to hacking and unauthorized access. Geolocation Data Privacy: Fitness trackers often collect and transmit minute-by-minute geolocation data to the cloud, raising concerns about privacy and data misuse. Complexity and Risk: The risk of security breaches increases with the complexity of the wearable device, particularly those with advanced features like LTE connections. Corporate Network Vulnerability: Wearables connected to smartphones and cloud applications can potentially be exploited to launch attacks on corporate networks, compromising sensitive information. Relative Security Risks: While wearables do pose security and privacy risks, they are generally considered to have lower risks compared to other connected devices. Ethical Considerations in Health Research Beyond the general security risks, there are also ethical considerations when it comes to wearables, as highlighted by an : article in the National Center for Biotechnology Information (NCBI) Data Breaches: The article mentions a significant security breach where over 61 million fitness tracker records from Apple and Fitbit were exposed, emphasizing the need for better data security measures. Conflicts of Interest: There can be conflicts between corporate and research agendas when it comes to data privacy and security, potentially putting research participants at risk. Ethical Research Practices: The commentary calls for ethical and transparent research practices when using consumer wearables for health research. Data Usage Review: There is a need to review data aggregation, storage, and usage practices to ensure the privacy and security of user data. Potential Harms with the AI Pin Now, let's explore how the AI Pin, with its innovative features and capabilities, could potentially be used to harm people: Data Privacy Concerns: The AI Pin's environmental scanning and voice-activated features could be used to collect sensitive information about individuals without their consent. This could lead to privacy breaches and unauthorized data access. Surveillance and Tracking: The AI Pin's camera and sensors, combined with its portability, could enable malicious individuals or entities to conduct covert surveillance and tracking of unsuspecting users. Misuse of Projector: The tiny projector in the AI Pin, while a useful feature for its intended purposes, could also be used to project harmful or inappropriate content in public spaces. Voice Manipulation: The device's translation feature, which operates in the user's voice, could potentially be exploited for voice manipulation and deception. Health Data Vulnerability: If the AI Pin is used for health-related tasks like nutritional evaluation, there may be risks associated with the security of personal health data, especially if it's stored in the cloud. Safeguards and Mitigation Strategies To ensure that the AI Pin remains a force for good and not a tool for harm, it's essential to implement robust safeguards and mitigation strategies: Strong Encryption: All data collected and transmitted by the AI Pin should be strongly encrypted to protect user privacy. User Consent: Users should have complete control over what data is collected and how it is used. Transparent consent processes must be in place. Regular Updates: Continuous firmware and software updates should be provided to patch vulnerabilities and enhance security. Cybersecurity Audits: Periodic security audits should be conducted to identify and address potential vulnerabilities. Ethical Use Guidelines: Humane, as the creator of the AI Pin, should establish clear guidelines for the ethical use of their technology and actively enforce them. Data Retention Policies: Implement data retention policies that limit the storage of sensitive user data and ensure its secure deletion when no longer needed. Reflection The AI Pin represents a remarkable step forward in personal technology, offering innovative features and a vision for a screenless, more connected future. However, like any technological advancement, it carries security risks that must be addressed. By recognizing the potential harm that can arise from the misuse of this technology and implementing stringent security measures and ethical guidelines, we can strike a balance between innovation and safety. As consumers and creators of technology, it is our collective responsibility to ensure that the AI Pin and similar devices enhance our lives while respecting our privacy and security. Additional Sources: https://www.csoonline.com/article/560861/10-security-risks-of-wearables.html https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900157/ https://www.networkworld.com/article/3185740/10-things-you-need-to-know-about-the-security-risks-of-wearables.html

Balancing Innovation and Security: Exploring the AI Pin's Potential Risks and Safeguards

361 Stories To Learn About Big Data

Technology and software employees are once again in high demand despite the industry witnessing droves of layoffs and job cuts at the start of the year. In a recent turn of events, some big-tech companies, and startups are looking to fill open positions, calling on previous employees to return or apply for new vacancies. Tech layoffs made headlines this year, as technology and software companies severely reduced their headcount in an attempt to stabilize their bottom line and shake up their balance sheets. Already this year, around 1,589 companies have , with job cuts peaking in January. laid off more than 359,000 employees With thousands of employees being booted, and demand for advanced digital tools, against the backdrop of artificial intelligence (AI) rapidly evolving, some companies are now ready to hire again. Historically, the San Francisco Bay Area and Silicon Valley were considered the go-to place for novice tech employees looking to break into the industry. However, as the marketplace has undergone dynamic changes, and many companies are looking to relocate to other parts of the country, mostly for tax purposes, many have taken those open positions with them. Best U.S. Cities For Tech Jobs Several sources provide a deep dive into the tech industry, and more importantly, the cities across the country where most of these jobs are located. Finding the right tech job is mostly about looking in the right place. While you might recognize some familiar names on this list, here’s a look at some alternative options where you could find many suitable tech jobs. Austin, Texas Welcome to Silicon Hills - the Silicon Valley of Texas. While Austin is famous for its music, culture, and food, in recent years, it’s become a go-to place for tech companies and employees, as the city offers a relatively affordable cost of living, an attractive business environment, and perhaps the best - no state income tax. The city has the sixth-highest concentration of tech jobs in the country, with companies such as IBM, Amazon, Tesla, and Dell all having a presence here. The reported that last year, the city’s tech industry grew by 9.8%, while jobs in the metropolitan area increased by 8.5%. Austin Chambers A recent study showed that Austin has experienced a significant increase in new tech jobs, drawing in young workers from across the country. Between 2016 and 2021, Austin experienced a in their 30s. 52% increase in tech workers According to the same study, salaries for tech workers have jumped by 18% during the last five years, with the average employee now earning around $104,000 annually. The highest-paying roles are currently concentrated in computer and Information Technology (IT), with these employees earning an average of $164,770 annually. Seattle, Washington The Emerald City has continuously been a go-to place for thousands of tech workers, as Seattle boasts several big-tech headquarters, and most recent data revealed that the city sees nearly one in ten residents working in tech. In total, more than 160,660 city residents, or 83.78 per 1,000 work in the technology and software industry, making it one of the areas with the highest concentration of tech workers in the Pacific Northwest. Despite the thousands of layoffs the industry experienced earlier in the year, Seattle continued to see growing tech job vacancies and estimates predict that Washington State will see a nearly this year - the largest projected increase in the U.S. 4% increase in tech job openings Figures from a report showed that the average salary in Seattle rose by 7.6% between 2021 and 2022 to $129,456. Seattle ranked third in terms of having the highest-paid tech workers, with Boston and Silicon Valley in second and first place, respectively. Tech Salary Trends Huntsville, Alabama For quite some time, Huntsville, Alabama, has steadily become one of the biggest, and perhaps most attractive tech hubs in the South. While the local industry not only offers high-paying jobs, some of the best in the country, affordable housing and better cost of living are also drawing in younger tech workers. Tech is one of the biggest employers, with tech of overall employment in the city, higher than the national average of 9.5%. While not necessarily big in terms of other places such as New York and Silicon Valley, Huntsville has a fast-growing ecosystem of tech startups, and software companies now planting their roots here. jobs accounting for 17.6% The average annual salary ranges anywhere from $104,150 to $194,484, with tech jobs paying 2.9 times higher than the average salary across nearly every job category in the city. While the area is still up-and-coming and provides ample room for techies to grow their careers, the city has a slightly above-average quality of living and a relatively younger workforce. Although it might not be as exciting as other bigger, and more well-known places, Huntsville is a good place to launch a tech career. San Jose, California San Jose is considered to be the epicenter of tech jobs in the U.S., and at the heart of the city, lies Silicon Valley. There is seldom a shortage of tech jobs in San Jose, and although the area was at the center of earlier tech layoffs this year, things are starting to shape up, with some of the biggest names in the industry looking to hire again. Historically, the area was considered to be for veteran and professional tech workers who already have years of experience in their fields. However, new developments and advancements in the field of technology, and more so, artificial intelligence, are helping to create a wealth of opportunities for younger, and less-experienced techies. Who will you be working for? Well, only some of the biggest, and most prominent names in the tech industry, of course. Companies including Apple, Adobe, eBay, Google, Paypal, Cisco Systems, Meta Platforms, Tesla, Zoom, and HP, among others are located around the city. Nearby Stanford University has helped supply San Jose with cohorts of fresh tech graduates each year, however, there is enough room for experienced professionals to leverage available opportunities. Due to the nature of the highly competitive market, tech workers typically receive some of the biggest salaries here, compared to other parts of the country. Recent show that salaries can range from $30,000 to $151,500, with the average salary ranging around $92,500. statistics This might seem small compared to other cities on our list, however, there have been reports of some tech workers making more than $200,000. Boulder, Colorado The small and tight-knit community of Boulder, Colorado has become a popular destination for tech workers and venture capital investors alike in recent years, with some big-tech companies setting down roots in the city. What draws tech workers here is not necessarily the opportunities offered by big companies like Google, IBM, Twitter, or Sphero, but more than this, the area provides residents access to a wide range of outdoor and nature activities. Endless hiking trails, lakes, rivers, and creeks are only some of the most attractive outdoor attractions Boulder has to offer. Venture capital investment is one of the more lucrative spin-off industries, with some tech consultants earning on average $118,150 a year, which equates to roughly $9,845 per month. Big salaries, endless outdoor attractions, high quality of living, and continuous growth makes Boulder one of the most popular places for tech workers looking to launch their career. While the cost of living tends to be slightly above the national average, nearly 67% more, every dollar spent here will be worth it. Raleigh, North Carolina For techies living on the East Coast, Raleigh has steadily been making a name for itself in the tech industry over recent years. What makes and live is the affordable cost of living compared to other bigger cities such as San Jose or nearby Washington D.C. Raleigh a top place to work On average, the city boasts roughly 58.47 tech jobs per 1,000 people and sees more than 37,000 residents currently working in the tech and software field. Commerce is perhaps the third most lucrative and active industry, which is often considered a branch of the wider tech industry. One would think that a mid-sized city such as Raleigh would offer employees less money. Well, that’s not necessarily the case. According to statistics, the average residential salary is roughly $133,478 as of 2023. Indeed.com IBM currently ranks as the highest-paying employer, with the annual tech worker making nearly $104,222 per year. Salaries typically range anywhere from $53,000 to more than $140,000, depending on the position and experience. What’s more, Raleigh sees roughly six percent of the city’s population working in tech, and with nearby Durham being only a stone’s throw away, tech workers have endless options to choose from when searching for new jobs. Washington D.C. D.C. isn’t only decorated with the headquarters of the federal government, instead the city features several high-tech companies, including IBM, Deltek, Intuit, Appian, and Salesforce. Sitting among these names are also several dozen federal government tech and software agencies and organizations, some of which play a vital role in the country’s national defense and cybersecurity. Aside from the government pumping billions into the fast-track development of technology and artificial tools, from 2021 showed that 10 tech companies raised more than $2.4 billion in venture capital. reports The city features a colorful range of tech jobs, with the more lucrative positions being available in the private sector. While a federal government job might pay slightly less, tech workers tend to scoop these up relatively quickly due to the high level of job security that comes with it. Cybersecurity, healthtech or medtech, and software are some of the most active sectors in the D.C. tech industry. Paychecks are relatively big, compared to other parts of the country, with the average tech employee making a median of $117,730 per year. A from 2021 showed that D.C. ranked third in the country in terms of average tech professional pay. report New York City, New York You can’t make a list of the best cities for tech professionals without mentioning New York City at least once. The Big Apple has been a long-standing favorite for many tech employees looking to escape the West Coast. While the city boasts ample opportunities around every corner, that big corporate paycheck won’t get you much here. New York City broke the record for having the this past summer in the country, with some residents paying more than $4,000 on average for their apartment. highest average monthly rent In terms of compared to San Francisco, New York City outranks the Bay Area in nearly every category. Rent isn’t only 13.0% higher here compared to San Francisco, eating out in a restaurant tends to be 6.6% higher, while overall consumer prices including rent are 7.3% more expensive in the city. costs of living Despite the eye-watering rents, crowded public spaces, and shortage of greenery, New York City remains one of the best places for tech workers looking for a good-paying job at one of the country’s most reputable tech companies. In , experienced developers and engineers can make anything up to $151,339 per year, while UX designers can make up to $122,427 per year. Not bad considering you’ll spend most of that on rent and public transport. terms of salary Boston, Massachusetts Don’t let Boston’s historic remnants fool you, while the city may play as the backdrop to one of the oldest towns in the country, it boasts a thriving tech and software industry, with biotech, fintech, and edtech being among the fastest-growing sectors. Some of the best high-tech employers in the city include NVIDIA, which is currently spearheading the AI industry, Boston Dynamics, Skillsoft, and Toast. For any techies new to the market, be warned that the job market here can be somewhat competitive with the Massachusetts Institute of Technology (MIT) being one of the biggest suppliers of freshly graduated professionals to local tech companies. Based on current data, paychecks tend to be in line with that of the industry average, and of other tech-forward cities. However, experience will help in the long run, and will count in your favor if you’re looking to stand out from the crowd. Developers and software engineers per year, while product designers pay about $139,424 annually. Those working in data and analytics can look to make more than $114,000 per year, while other entry-level tech jobs typically pay between $65,000 and $92,000 per year. make on average $137,063 Boston is not only historic, but for younger tech workers, it can easily be a vibrant, and exciting place to live, especially with so many young residents moving here for the exceptional quality of life. Colorado Springs, Colorado While smaller, one shouldn’t overlook Colorado Springs as a suitable option to start or build a tech career. The city sees about 53.56 tech positions for every 1,000 people, and there are currently more than 15,000 residents employed in the local tech industry. Who’s hiring here? Some names include Tek Experts, BlueStacks, and Ivanti, among others. The industry here is heavily concentrated on IT, software, and product development. While there aren’t many big-tech names that have offices in Colorado Springs, smaller, and less competitive companies give newcomers the perfect opportunity to launch their tech careers. A key selling point for many tech workers here is not only the more relaxed working environment but the seemingly affordable cost of living. Despite inflation taking a toll on many people these last few months, Colorado Springs tends to be only . 5% more expensive than the national average When you begin to compare the cost of things such as housing, transportation, and utilities to other major tech cities, you begin to realize that Colorado Springs seems a lot more affordable than one would think. With the Rocky Mountains as the backdrop to the city, and with the nearby Pike National Forest, outdoor recreational activities are a big part of your lifestyle here. A thriving community of young people has moved to Colorado Springs during the pandemic, as the city played host to being one of the most attractive Zoom Towns during an era of remote work. Where Do You Go Next? Well, that all depends on what you’re looking for in terms of a city, and how much you’re looking to make. While some cities offer big and hefty paychecks, the cost of living tends to eat up a lot of your disposable income. On the other hand, a smaller and less popular destination would help you kickstart your tech career, while you’re also saving more money, and building up experience. The tech industry is constantly changing, and new trends are unfolding every day. Staying ahead of the curve will help you secure a well-paying stable job that provides you not only with job security but more importantly, a city that you can call home and makes you feel welcome.

Hey Tech Workers! Companies Are Hiring Again: The 10 Best Cities to Find Tech Jobs

123 Stories To Learn About Healthtech

A lot has happened in the last few years since the World Health Organization declared COVID-19 a global pandemic, forcing every business to change the way they work to survive in this changing world. However, even though the lockdown slowed everything down, a huge amount of data continued to climb with speed, and big data grew and became even bigger. As the world was changing and businesses were struggling to find new innovative ways and methods to continue doing business, data and data analytics provided a path of light. In this paper, an overview has been provided about Tableau, an extremely powerful tool that can crunch massive amounts of data and can provide hidden insights and trends through visual solutions that can be used by organizations to make quick business decisions. I have used Tableau to generate interactive visualizations that help the biotech/pharma/healthcare industries improve peer-to-peer engagements. As the Covid infection rate is going down and businesses are opening, the healthcare industry needs to understand the risk due to COVID before engaging with HCPs (healthcare professionals) in a live setting and doing peer two peer programs. COVID-19 open-source data has been utilized to provide the real-time COVID impact in a geographical location with accuracy, which could be monitored by companies to prepare for possible face-to-face engagements and find quick and innovative solutions to continue to make effective healthcare decisions. Introduction As a very needed integral process for the pharmaceutical/biotech industry, companies run a lot of HCP-related peer-to-peer programs, which are face-to-face meetings, conventions, and conferences to educate the HCPs (Health Care professionals) about the company's drug and different scientifically proven and approved treatment options [1]. During COVID, all the interactions and companywide conferences went virtual, even one-to-one field sales reps/ (Key Opinion Leader)/MSL (Medical Science Liaison) and HCP meetings became virtual, which impacted the business. KOL Today, as life is slowly going back to normal, and as the COVID infection rate is going down and businesses are opening, it is important for the healthcare industry to understand the risk score due to COVID before engaging with HCPs in a live setting and for doing peer-to-peer programs. This paper uses publicly available COVID infection data and census bureau population data [6,7] together to present a model for calculating whether a particular location in the US is safe or unsafe to have a face-to-face meeting. This is an interactive visualization created using Tableau as a business intelligence tool. Table of Contents Interactive Data Visualization Data Preparation Tableau Data Join Tableau Geocoding Risk Score Modelling Results Conclusion Interactive Data Visualization Data visualization is the presentation of data or information in a visual format such as a graph, chart, diagram, etc. Today, ever-increasing data volumes are making already multifaceted big data even bigger and more complex. As a result, sorting, cleaning, comprehending, and explaining a huge amount of data is becoming slower and more difficult. This is where, to make data-driven decisions quickly and confidently and in real-time, data visualization has come into play. It provides the fastest and most effective way to interpret large batches of data and communicate pertinent details and insights by creating compelling, informative, beautiful, and eye-catching dashboards. Visualization uses a human’s natural skills to perceive and process visual information with higher efficiency compared to tabular data format [8]. It helps to monitor and deal with complex information at a glance and enhances memory [8], significantly helping to communicate messages more effectively. However, visualizations are static by nature and are used to publish materials such as publishing in print or online or for presentation purposes rather than exploration. Thus, it makes a difference when visualization is created using interactive dashboards; interactive data visualization being a powerful tool in the current age reaches beyond the limits of static dashboards. It converts static presentations into interactive sessions and empowers the users to interact with the data and discover patterns and trends by filtering the data on-demand or by simply clicking to drill down into the underlying data to gain quality insights in real-time. Data Preparation The data for this paper is collected from the public domain. Two separate datasets have been used; is the publicly available COVID infection data. first The data is released and updated in real-time by the New York Times and provided in three separate CSV files for three geographical areas: US, States, and Counties [6]. The countries file is the most detailed file including the state and country columns as well. Unlike the other two files, which are aggregated data sets. is the US census bureau population data from the U.S. Census Bureau website [7]. Second For the COVID infection CSV data, only the counties file is downloaded from the website. A table is created in , and the file is uploaded to the table in Redshift. AWS Redshift A script is created to load this data daily into the Redshift table, which is then automatically refreshed in the Tableau Dashboard. Figure 1 shows the table in Redshift with the COVID data uploaded from the Web. COVID Infection Data in a long table format in Redshift. Figure 1: The COVID table in Redshift is connected to Tableau through the Tableau server connector. Figure 2 shows the Tableau connector page, with a list of a variety of common files and server types from which Tableau could be connected to pull data. For this data set, “Amazon Redshift” under ‘’To a Server” is selected and clicked. This opens a window shown in Figure 3 to input credentials and other details about the server. A live connection is established after entering the server and login details. And all the schemas and tables in the data warehouse could be seen in the data source pane in Tableau Desktop. From where the COVID table is dragged and dropped into the data connection section. The population data is also downloaded as a CVS file from the US Census Bureau website. The demographic data is updated weekly on this government website. This excel file is connected to Tableau directly. The above Figure 2 shows the list. In this case, “Microsoft Excel” under “To a File” is selected, which opens a dialog box that shows the excel supported files in the local system. The dialog box helps to navigate to the excel file, and after the selection, Tableau establishes a live connection with the file. Tableau Data Join Tableau now is connected to two different data sets from two different data sources; it offers the option to both data sets using the common field present in both. combine/join As figure 4 shows, both the tables are joined using inner join using the ‘COUNTY’ column which is the county id present in both the datasets. Join being a robust function, once created, it will exist in the entire workbook, and any number of worksheets or dashboards could be created using the combined data set. Once the combined data set is ready, a worksheet is opened which is the development area in tableau to create visualizations. In the worksheet we can see, Tableau has automatically differentiated the columns as dimensions and measures shown in Figure 5. It also gives the option to the users to validate the data types already selected by Tableau for each column. Users can change the field data types as well as move the columns from Dimension to Measure pane or vice versa depending on the need. Tableau Geocoding Tableau geocoding is another excellent feature provided by Tableau. Tableau can geocode from eight different types of geographic information such as fields like country, state, province, city, postal codes, etc. plus latitude and longitude coordinates. The geographic field is denoted by a small globe icon. Tableau automatically generates the longitude and latitude values for the center points of each geographic entity displayed in the visualization [2,4]. Along with it, users can also customize geocodes by assigning latitude and longitude coordinates to their locations so Tableau can plot them accurately on a map. In this paper, a filled map is used to create the visual dashboard. Risk Score Modeling The first data set used is the open-source COVID infection data; the last seven days’ worth of data has been uploaded into the Redshift table and connected to Tableau through the AWS Tableau connector. The second data set is the US census bureau data for population details, which is connected to Tableau through the excel file. Both the data sets are joined using the unique county column present in both data sets. Finally, a calculated column named ‘COVID risk score’ is created by calculating the last seven days of COVID cases per 100K population in a county (Figure 6). The risk scores are divided into three categories — high, medium, and low risk-based on the number of COVID cases in the last seven days per 100K population. The three categories are used to create another calculated column to divide the categories into three color segments based on the below definitions, and the field is named ‘Risk Category’. COVID Risk Score Definitions for colored risk categories: High-Risk Red Color COVID cases in the last seven days per 100K Population. COVID Risk Score >100 Medium-Risk Yellow Color 40 and 100 COVID cases in the last seven days per 100K Population. COVID Risk Score between Low-Risk Green Color COVID cases in the last seven days per 100K Population. COVID Risk Score < 40 Results Basic View A horizontal bar chart is created to show the risk score for each state by county. First, the fields ‘State’ and ‘County’ in the ‘Dimensions’ pane are dragged and dropped into the ‘Rows’ shelf. As these are the dimension fields, they are displayed in blue color. Then the 'COVID Risk Score' field under the ‘Measures’ pane is dragged and dropped into the 'Columns' shelf. This field is displayed in green, and tableau automatically denotes it with the default aggregate function 'sum' as it is a numeric field, which can be changed based on the users’ needs such as max, min, etc. This shows the risk score for each of the counties in a bar graph (Figure 7). Filtering the View and Understanding the Highest Risk Score Figure 7 is showing all the data for all the fields that have been dragged and dropped into the view. Now, the view could be enhanced with interactive features by using filters and mark cards. For the filters, ‘State’, ‘County’, and ‘Risk Category’, fields from the Dimensions pane are dragged and dropped into the ‘Filters’ shelf. Next, the ‘Risk Category’ is dropped into the ‘Color’ of the mark cards, followed by ‘COVID Risk Score’, ‘COVID Cases’, and ‘Total Population’ fields dragged and dropped from the Dimensions pane into the ‘Label’ of the mark cards as highlighted below in Figure 8. This development area worksheet could now be moved into a formal dashboard section. Figure 9 is an example of the visual dashboard where some filters have been applied. The fields on the ‘Label’ would help to create the hover information; that is, when the mouse hovers over a bar, it shows additional information in a pop-up box about the selected bar as shown in Figure 9. Building a Map View The view is created using the Tableau-generated latitude and longitude coordinates along with the state column from the data set. In the tableau development area, a new worksheet is selected, and the field ‘State’ from the Dimensions pane is dragged and dropped into the ‘Detail’ of the mark cards. Tableau automatically drags and drops Longitude and Latitude fields from the ‘Measures’ pane on the ‘Columns’ and ‘Rows’ shelves respectively and creates a map. ‘Show me’ shows two options for map view filled or symbol. In this case, the Filled map is selected for the visualization. State is added to the filter shelf like in the previous view. For the quantitative measure, both the ‘COVID Risk Score’ and total ‘COVID Cases’ are to be shown on the map by State. So, a parameter ‘COVID Metric’ is created to toggle between 2 measures ‘COVID Risk Score’ and ‘COVID Cases’. This parameter is used to create a calculated column ‘Metric’ (Figure 10), which is dragged and dropped onto the ‘color’ of the mark cards. Then the color in the mark card is selected, and from the color list, ‘Red-Blue’ diverging is selected, and ‘Reversed’ is checked. So, that high score or high cases would show in red color, and the reverse would show in blue color. Figure 11 is showing the visualization with the parameter filter ‘COVID Metric’ where the current default selection is ‘COVID Risk Score’ (i.e., New COVID infection cases in the last seven days per 100K population in the state), and the map is shaded with the risk score numbers for each state. The color shading for the states in the map is changed when the parameter filter is changed to the ‘COVID Cases’ to show the total COVID cases in the last seven days by State. Conclusion Users’ ability to perceive data is enhanced significantly when data or information is presented in a visual format. It becomes difficult to miss out on important insights. Visual display of data always would have a significant advantage over regular tabular format data. And in today’s post-COVID world, industries are showing a great interest in data analytics through visualizations. Tableau, being a powerful visual analytics tool, could be used to create impactful visualizations by harnessing a massive amount of data through various data sources, which could help users to see, understand, and explore the data. It is loaded with user-friendly and state-of-the-art features and world-class functionalities that could help extract valuable insights, which could be analyzed through interactive visualizations. In this paper, I used data from two different data sources and merged them together in the Tableau layer to perform the data analysis and create interactive visual dashboards. References McGrail S. Impact of Medical Affairs on the Pharmaceutical Industry. Pharma News Intelligence. 2021. Available at: . https://pharmanewsintel.com/news/impact-of-medical-affairs-on-the-pharmaceutical-industry Daniel G. Murray, with the InterWorks Team. "Tableau Your Data! Fast and Easy Visual Analysis with Tableau Software", Published by John Wiley & Sons, Inc. ISBN: 978-1118612040 S Narula, A Jain and M Prachi. (2015). "Cloud computing security: Amazon Web service", IEEE 5th Int. Conf. Adv. Comput. Commun. Technol, 501-505. Nikhat A, Nazia T, Dr. Asif P and Dr. Yusuf P. (2020). Data analytics and visualization using Tableau utilitarian for COVID19 (Coronavirus). Global Journal of Engineering and Technology Advances, 2020, 10.30574/gjeta.2020.3.2.0029ff. Hal-03226643f Alexander Loth (2019). “Visual Analytics with Tableau”, Published by John Wiley & Sons, Inc. ISBN: 978-1119560203 COVID-19 Infection data. Public data provided by New York Times [Internet] https://github.com/nytimes/covid-19-data US Census Bureau Population Data. [Internet] Government Website: https://www.census.gov/data.html Sas, "Data Visualization Techniques" (2013). White Paper Ward, M., Grinstein, G., Keim, D. “Interactive Data Visualization: Foundations, Techniques, and Applications”, Published by A. K. Peters, Ltd., Natick (2010). ISBN: 9780429108433 TABLEAU SOFTWARE, LLC, A SALESFORCE COMPANY. [Internet]. Downloading a trial of Tableau Desktop. Available from www.tableau.com https://www.tableau.com/products/desktop TABLEAU SOFTWARE, LLC, A SALESFORCE COMPANY. [Internet]. Downloading Tableau Desktop for Students. Available from www.tableau.com https://www.tableau.com/academic/students TABLEAU SOFTWARE, LLC, A SALESFORCE COMPANY. [Internet]. Downloading Tableau Desktop for education professionals. Available from www.tableau.com https://www.tableau.com/academic/teaching Inseok Ko & Hyejung Chang (2017). "Interactive Visualization of Healthcare Data Using Tableau". Healthcare Informatics Research 2017; 23(4): 349-354. DOI: https://doi.org/10.4258/hir.2017.23.4.349 Dr. Yusuf P, Firoj P and Nikhat A. (2014). “A Posteriori Perusal of Mobile Computing”, International Journal of Computer Applications Technology and Research (IJCATR), ATS (Association of Technology and Science), ISSN 2319–8656 (Online), 3(9), 569 – 578 David McNaughton & Janice Light (2013). “The iPad and Mobile Technology Revolution: Benefits and Challenges for Individuals who require Augmentative and Alternative Communication, Augmentative and Alternative Communication”, 29:2, 107-116, DOI: 10.3109/07434618.2013.784930 Big data Data visualization Interactive visualization Data (computing) Opinions expressed by DZone contributors are their own. Also published here

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