Submit Search
Upload
Covid-19 Data Analysis and Visualization
•
0 likes
•
205 views
IRJET Journal
Follow
https://www.irjet.net/archives/V9/i11/IRJET-V9I11116.pdf
Read less
Read more
Engineering
Report
Share
Report
Share
1 of 6
Download now
Download to read offline
Recommended
Win The Fight: Crush and Contain for Safer Reopening
Win The Fight: Crush and Contain for Safer Reopening
Boston Consulting Group
Artificial Intelligence: Have No Fear
Artificial Intelligence: Have No Fear
Boston Consulting Group
Navigating the COVID-19 Crisis V1
Navigating the COVID-19 Crisis V1
Boston Consulting Group
PwC's Global Technology IPO Review -- Q1 2015
PwC's Global Technology IPO Review -- Q1 2015
PwC
What's Keeping Women out of Data Science? (press deck)
What's Keeping Women out of Data Science? (press deck)
Boston Consulting Group
Global Challengers 2018: Digital Leapfrogs
Global Challengers 2018: Digital Leapfrogs
Boston Consulting Group
Navigating the COVID-19 Crisis V2 - April 20
Navigating the COVID-19 Crisis V2 - April 20
Boston Consulting Group
Bridging the Trust Gap: Data Misuse and Stewardship by the Numbers
Bridging the Trust Gap: Data Misuse and Stewardship by the Numbers
Boston Consulting Group
Recommended
Win The Fight: Crush and Contain for Safer Reopening
Win The Fight: Crush and Contain for Safer Reopening
Boston Consulting Group
Artificial Intelligence: Have No Fear
Artificial Intelligence: Have No Fear
Boston Consulting Group
Navigating the COVID-19 Crisis V1
Navigating the COVID-19 Crisis V1
Boston Consulting Group
PwC's Global Technology IPO Review -- Q1 2015
PwC's Global Technology IPO Review -- Q1 2015
PwC
What's Keeping Women out of Data Science? (press deck)
What's Keeping Women out of Data Science? (press deck)
Boston Consulting Group
Global Challengers 2018: Digital Leapfrogs
Global Challengers 2018: Digital Leapfrogs
Boston Consulting Group
Navigating the COVID-19 Crisis V2 - April 20
Navigating the COVID-19 Crisis V2 - April 20
Boston Consulting Group
Bridging the Trust Gap: Data Misuse and Stewardship by the Numbers
Bridging the Trust Gap: Data Misuse and Stewardship by the Numbers
Boston Consulting Group
World Economic Forum: The power of analytics for better and faster decisions ...
World Economic Forum: The power of analytics for better and faster decisions ...
PwC
IP Theft
IP Theft
Booz Allen Hamilton
#BainWebinar Procurement Best Practices Through Covid19
#BainWebinar Procurement Best Practices Through Covid19
Bain & Company Brasil
2017 china internet report bcg
2017 china internet report bcg
Gaudefroy Ariane
When, Where & How AI Will Boost Federal Workforce Productivity
When, Where & How AI Will Boost Federal Workforce Productivity
accenture
Made in America, Again
Made in America, Again
Boston Consulting Group
How consumers use technology and the impact it has on their lives
How consumers use technology and the impact it has on their lives
BebeDyl
Apache Hadoop Summit 2016: The Future of Apache Hadoop an Enterprise Architec...
Apache Hadoop Summit 2016: The Future of Apache Hadoop an Enterprise Architec...
PwC
A.T. Kearney: Internet Value Chain Economics
A.T. Kearney: Internet Value Chain Economics
United Interactive™
The 4th Annual New Mobility Study 2019
The 4th Annual New Mobility Study 2019
L.E.K. Consulting
#BainWebinar Commercial Aviation Outlook and Scenarios
#BainWebinar Commercial Aviation Outlook and Scenarios
Bain & Company Brasil
Colombia's Consumer Pulse Update - August 2020
Colombia's Consumer Pulse Update - August 2020
Bain & Company Brasil
Medical Cost Trend: Behind the Numbers 2017
Medical Cost Trend: Behind the Numbers 2017
PwC
Covid-19 and IoT: Some Perspectives on the Use of IoT Technologies in Prevent...
Covid-19 and IoT: Some Perspectives on the Use of IoT Technologies in Prevent...
eraser Juan José Calderón
Infrastructure Victoria - AZ/ZEV International Scan
Infrastructure Victoria - AZ/ZEV International Scan
L.E.K. Consulting
MAPS2018 Keynote address on EY report: Life Sciences 4.0 – Securing value thr...
MAPS2018 Keynote address on EY report: Life Sciences 4.0 – Securing value thr...
EY
Employee Inspiration: How to Create Energy That Drives Better Customer Outcomes
Employee Inspiration: How to Create Energy That Drives Better Customer Outcomes
Qualtrics
Transforming the industry that transformed the world
Transforming the industry that transformed the world
accenture
The FDA and industry: A recipe for collaborating in the New Health Economy
The FDA and industry: A recipe for collaborating in the New Health Economy
PwC
Economy SEA 2019 by google
Economy SEA 2019 by google
AIS Ahmad Iman Sudrajat
PREDICTION OF COVID-19 USING MACHINE LEARNING APPROACHES
PREDICTION OF COVID-19 USING MACHINE LEARNING APPROACHES
IRJET Journal
COVID-19 FUTURE FORECASTING USING SUPERVISED MACHINE LEARNING MODELS
COVID-19 FUTURE FORECASTING USING SUPERVISED MACHINE LEARNING MODELS
IRJET Journal
More Related Content
What's hot
World Economic Forum: The power of analytics for better and faster decisions ...
World Economic Forum: The power of analytics for better and faster decisions ...
PwC
IP Theft
IP Theft
Booz Allen Hamilton
#BainWebinar Procurement Best Practices Through Covid19
#BainWebinar Procurement Best Practices Through Covid19
Bain & Company Brasil
2017 china internet report bcg
2017 china internet report bcg
Gaudefroy Ariane
When, Where & How AI Will Boost Federal Workforce Productivity
When, Where & How AI Will Boost Federal Workforce Productivity
accenture
Made in America, Again
Made in America, Again
Boston Consulting Group
How consumers use technology and the impact it has on their lives
How consumers use technology and the impact it has on their lives
BebeDyl
Apache Hadoop Summit 2016: The Future of Apache Hadoop an Enterprise Architec...
Apache Hadoop Summit 2016: The Future of Apache Hadoop an Enterprise Architec...
PwC
A.T. Kearney: Internet Value Chain Economics
A.T. Kearney: Internet Value Chain Economics
United Interactive™
The 4th Annual New Mobility Study 2019
The 4th Annual New Mobility Study 2019
L.E.K. Consulting
#BainWebinar Commercial Aviation Outlook and Scenarios
#BainWebinar Commercial Aviation Outlook and Scenarios
Bain & Company Brasil
Colombia's Consumer Pulse Update - August 2020
Colombia's Consumer Pulse Update - August 2020
Bain & Company Brasil
Medical Cost Trend: Behind the Numbers 2017
Medical Cost Trend: Behind the Numbers 2017
PwC
Covid-19 and IoT: Some Perspectives on the Use of IoT Technologies in Prevent...
Covid-19 and IoT: Some Perspectives on the Use of IoT Technologies in Prevent...
eraser Juan José Calderón
Infrastructure Victoria - AZ/ZEV International Scan
Infrastructure Victoria - AZ/ZEV International Scan
L.E.K. Consulting
MAPS2018 Keynote address on EY report: Life Sciences 4.0 – Securing value thr...
MAPS2018 Keynote address on EY report: Life Sciences 4.0 – Securing value thr...
EY
Employee Inspiration: How to Create Energy That Drives Better Customer Outcomes
Employee Inspiration: How to Create Energy That Drives Better Customer Outcomes
Qualtrics
Transforming the industry that transformed the world
Transforming the industry that transformed the world
accenture
The FDA and industry: A recipe for collaborating in the New Health Economy
The FDA and industry: A recipe for collaborating in the New Health Economy
PwC
Economy SEA 2019 by google
Economy SEA 2019 by google
AIS Ahmad Iman Sudrajat
What's hot
(20)
World Economic Forum: The power of analytics for better and faster decisions ...
World Economic Forum: The power of analytics for better and faster decisions ...
IP Theft
IP Theft
#BainWebinar Procurement Best Practices Through Covid19
#BainWebinar Procurement Best Practices Through Covid19
2017 china internet report bcg
2017 china internet report bcg
When, Where & How AI Will Boost Federal Workforce Productivity
When, Where & How AI Will Boost Federal Workforce Productivity
Made in America, Again
Made in America, Again
How consumers use technology and the impact it has on their lives
How consumers use technology and the impact it has on their lives
Apache Hadoop Summit 2016: The Future of Apache Hadoop an Enterprise Architec...
Apache Hadoop Summit 2016: The Future of Apache Hadoop an Enterprise Architec...
A.T. Kearney: Internet Value Chain Economics
A.T. Kearney: Internet Value Chain Economics
The 4th Annual New Mobility Study 2019
The 4th Annual New Mobility Study 2019
#BainWebinar Commercial Aviation Outlook and Scenarios
#BainWebinar Commercial Aviation Outlook and Scenarios
Colombia's Consumer Pulse Update - August 2020
Colombia's Consumer Pulse Update - August 2020
Medical Cost Trend: Behind the Numbers 2017
Medical Cost Trend: Behind the Numbers 2017
Covid-19 and IoT: Some Perspectives on the Use of IoT Technologies in Prevent...
Covid-19 and IoT: Some Perspectives on the Use of IoT Technologies in Prevent...
Infrastructure Victoria - AZ/ZEV International Scan
Infrastructure Victoria - AZ/ZEV International Scan
MAPS2018 Keynote address on EY report: Life Sciences 4.0 – Securing value thr...
MAPS2018 Keynote address on EY report: Life Sciences 4.0 – Securing value thr...
Employee Inspiration: How to Create Energy That Drives Better Customer Outcomes
Employee Inspiration: How to Create Energy That Drives Better Customer Outcomes
Transforming the industry that transformed the world
Transforming the industry that transformed the world
The FDA and industry: A recipe for collaborating in the New Health Economy
The FDA and industry: A recipe for collaborating in the New Health Economy
Economy SEA 2019 by google
Economy SEA 2019 by google
Similar to Covid-19 Data Analysis and Visualization
PREDICTION OF COVID-19 USING MACHINE LEARNING APPROACHES
PREDICTION OF COVID-19 USING MACHINE LEARNING APPROACHES
IRJET Journal
COVID-19 FUTURE FORECASTING USING SUPERVISED MACHINE LEARNING MODELS
COVID-19 FUTURE FORECASTING USING SUPERVISED MACHINE LEARNING MODELS
IRJET Journal
COVID19 ANALYZER
COVID19 ANALYZER
IRJET Journal
Role of Machine Learning Techniques in COVID-19 Prediction and Detection
Role of Machine Learning Techniques in COVID-19 Prediction and Detection
IRJET Journal
Covid 19 Prediction in India using Machine Learning
Covid 19 Prediction in India using Machine Learning
YogeshIJTSRD
A novel predictive model for capturing threats for facilitating effective soc...
A novel predictive model for capturing threats for facilitating effective soc...
IJECEIAES
Covid-19 Detection Using Deep Neural Networks
Covid-19 Detection Using Deep Neural Networks
IRJET Journal
review-mathematical-AI.pdf
review-mathematical-AI.pdf
Davidbham
Symptom-Based Prediction of COVID-19 using Machine Learning Models with SMOTE...
Symptom-Based Prediction of COVID-19 using Machine Learning Models with SMOTE...
IRJET Journal
IRJET- Patient Health Monitoring using IoT with Machine Learning
IRJET- Patient Health Monitoring using IoT with Machine Learning
IRJET Journal
Early coronavirus disease detection using internet of things smart system
Early coronavirus disease detection using internet of things smart system
IJECEIAES
Deep Learning Approaches for Diagnosis and Treatment of COVID-19
Deep Learning Approaches for Diagnosis and Treatment of COVID-19
IRJET Journal
Cloud Based Covid 19 Testing Management System
Cloud Based Covid 19 Testing Management System
ijtsrd
Design and development of a fuzzy explainable expert system for a diagnostic ...
Design and development of a fuzzy explainable expert system for a diagnostic ...
IJECEIAES
COVID-19 FACE MASK DETECTION
COVID-19 FACE MASK DETECTION
IRJET Journal
NEW CORONA VIRUS DISEASE 2022: SOCIAL DISTANCING IS AN EFFECTIVE MEASURE (COV...
NEW CORONA VIRUS DISEASE 2022: SOCIAL DISTANCING IS AN EFFECTIVE MEASURE (COV...
IRJET Journal
Efficient machine learning classifier to detect and monitor COVID-19 cases b...
Efficient machine learning classifier to detect and monitor COVID-19 cases b...
IJECEIAES
A Novel Approach for Forecasting Disease Using Machine Learning
A Novel Approach for Forecasting Disease Using Machine Learning
IRJET Journal
A Social Distancing Monitoring System Using OpenCV to Ensure Social Distancin...
A Social Distancing Monitoring System Using OpenCV to Ensure Social Distancin...
IRJET Journal
Social Distancing Detection, Monitoring and Management Using OpenCV
Social Distancing Detection, Monitoring and Management Using OpenCV
IRJET Journal
Similar to Covid-19 Data Analysis and Visualization
(20)
PREDICTION OF COVID-19 USING MACHINE LEARNING APPROACHES
PREDICTION OF COVID-19 USING MACHINE LEARNING APPROACHES
COVID-19 FUTURE FORECASTING USING SUPERVISED MACHINE LEARNING MODELS
COVID-19 FUTURE FORECASTING USING SUPERVISED MACHINE LEARNING MODELS
COVID19 ANALYZER
COVID19 ANALYZER
Role of Machine Learning Techniques in COVID-19 Prediction and Detection
Role of Machine Learning Techniques in COVID-19 Prediction and Detection
Covid 19 Prediction in India using Machine Learning
Covid 19 Prediction in India using Machine Learning
A novel predictive model for capturing threats for facilitating effective soc...
A novel predictive model for capturing threats for facilitating effective soc...
Covid-19 Detection Using Deep Neural Networks
Covid-19 Detection Using Deep Neural Networks
review-mathematical-AI.pdf
review-mathematical-AI.pdf
Symptom-Based Prediction of COVID-19 using Machine Learning Models with SMOTE...
Symptom-Based Prediction of COVID-19 using Machine Learning Models with SMOTE...
IRJET- Patient Health Monitoring using IoT with Machine Learning
IRJET- Patient Health Monitoring using IoT with Machine Learning
Early coronavirus disease detection using internet of things smart system
Early coronavirus disease detection using internet of things smart system
Deep Learning Approaches for Diagnosis and Treatment of COVID-19
Deep Learning Approaches for Diagnosis and Treatment of COVID-19
Cloud Based Covid 19 Testing Management System
Cloud Based Covid 19 Testing Management System
Design and development of a fuzzy explainable expert system for a diagnostic ...
Design and development of a fuzzy explainable expert system for a diagnostic ...
COVID-19 FACE MASK DETECTION
COVID-19 FACE MASK DETECTION
NEW CORONA VIRUS DISEASE 2022: SOCIAL DISTANCING IS AN EFFECTIVE MEASURE (COV...
NEW CORONA VIRUS DISEASE 2022: SOCIAL DISTANCING IS AN EFFECTIVE MEASURE (COV...
Efficient machine learning classifier to detect and monitor COVID-19 cases b...
Efficient machine learning classifier to detect and monitor COVID-19 cases b...
A Novel Approach for Forecasting Disease Using Machine Learning
A Novel Approach for Forecasting Disease Using Machine Learning
A Social Distancing Monitoring System Using OpenCV to Ensure Social Distancin...
A Social Distancing Monitoring System Using OpenCV to Ensure Social Distancin...
Social Distancing Detection, Monitoring and Management Using OpenCV
Social Distancing Detection, Monitoring and Management Using OpenCV
More from IRJET Journal
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
IRJET Journal
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
IRJET Journal
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
IRJET Journal
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
IRJET Journal
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
IRJET Journal
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
IRJET Journal
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
IRJET Journal
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
IRJET Journal
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
IRJET Journal
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
IRJET Journal
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
IRJET Journal
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
IRJET Journal
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
IRJET Journal
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
IRJET Journal
React based fullstack edtech web application
React based fullstack edtech web application
IRJET Journal
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
IRJET Journal
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
IRJET Journal
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
IRJET Journal
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
IRJET Journal
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
IRJET Journal
More from IRJET Journal
(20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
React based fullstack edtech web application
React based fullstack edtech web application
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Recently uploaded
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Low Rate Call Girls In Saket, Delhi NCR
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur High Profile
Extrusion Processes and Their Limitations
Extrusion Processes and Their Limitations
120cr0395
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur High Profile
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Dr.Costas Sachpazis
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptx
upamatechverse
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
ranjana rawat
Top Rated Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
Top Rated Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
Call Girls in Nagpur High Profile
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
soniya singh
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt
ssuser5c9d4b1
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
KurinjimalarL3
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
ranjana rawat
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
ranjana rawat
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
RajaP95
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
João Esperancinha
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service Nashik
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service Nashik
Call Girls in Nagpur High Profile
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Suman Mia
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...
Call Girls in Nagpur High Profile
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
slot gacor bisa pakai pulsa
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )
Tsuyoshi Horigome
Recently uploaded
(20)
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Extrusion Processes and Their Limitations
Extrusion Processes and Their Limitations
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptx
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
Top Rated Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
Top Rated Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service Nashik
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service Nashik
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )
Covid-19 Data Analysis and Visualization
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 11 | Nov 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 764 Covid-19 Data Analysis and Visualization Mamta Soni [2], Dr Sonali Ridhorkar [1] [1] HOD, Department of Computer Science, G.H. Raisoni Institute of Engineering and Technology, RTMNU, Maharashtra, India 440033. [2] Student, Department of Computer Science, G.H. Raisoni Institute of Engineering and Technology RTMNU, Maharashtra, India 440033. ----------------------------------------------------------------------------***--------------------------------------------------------------------- Abstract— Coronavirus disease 2019 is an infectious disease caused by serious acute respiratory syndrome coronavirus 2 ((SARS-CoV-2).. It was first identified in December 2019 in place Wuhan, China, and has resulted in an ongoing pandemic. The virus is primarily spread across people during close contact, most frequently via small droplets produced by coughing, sneezing, and talking. The droplets generally fall to the ground or onto surfaces rather than travelling through air over long distances. Less commonly, people may become infected by touching a dirty surface and then touching their face. It is most contagious in starting of first three days after the onset of symptoms, although spread is even possible before symptoms appear, and from people who do not show symptoms. The project will help in analyzing and recognizing the insights that will be gained by using the Technologies Python and Tableau are used to make all the visualizations which are displayed on the dashboard, these insights will help in identifying and giving an idea of how the number of covid cases are impacted as possibility of being diagnosed positive on the basis of the symptoms. Keywords- COVID-19, data analysis technique, Prediction, Machine Learning, Classification techniques. I. INTRODUCTION On 31st December 2019, in the city of Wuhan (CHINA), a group of cases of pneumonia of unknown cause was reported to World Health organization. In January 2020, a previously unknown new virus was identified, which is named 2019 novel corona virus. WHO has declared the COVID-19 as a pandemic. A pandemic is defined as disease spread over a wide range of geographical area and that has affected high proportion of the population. Every person in the world suffers from the coronavirus, directly or indirectly. Someone is confronted directly, when the virus attacks them and some are indirectly affected because of the closure of their businesses, work, everyday work. Today, the global economy is also slowing down day in and day out. All countries are battling it, be it developing, developed or under development. Our goal is to make people aware so that they can protect themselves and unite the world to kill this disease and its existence. As this COVID-19 is spread from person to person, Artificial intelligence based electronic devices can play a very pivotal part in preventing the spread of this virus. As the part of healthcare epidemiologists has expanded, the pervasiveness of electronic health data has expanded too. The increasing availability of electronic health data presents a major occasion in healthcare for both discoveries and practical applications to improve healthcare. This data can be used for training machine learning algorithms to improve its decision-making in terms of predicting the diseases. The project will help us in recognizing the insights that will be gained by using machine learning algorithms on the data, these insights will help us in identifying and giving an idea of how the number of covid cases are impacted as possibility of being diagnosed positive on the basis of the symptoms. II. REVIEW The different research spheres of data analysis that have considered COVID-19. While providing an epidemic computational model , GLEaM visualizes the spread of COVID-19 and analyzes realistic scenarios in comparison to data. As the model is developed, it regards transportation and interaction layers based on new emerging pandemic strains. Moreover, by allowing the integration of different processes not necessarily of biologic origin, the GLEaM model takes advantage of an individual’s mobility to create simulations of the epidemic. Amidst large influenza-like illnesses, official health institutions may take weeks to reveal the data, hindering epidemiologic advancement. However, informal media typically holds available data in real-time which can allow for the development of epidemic forecasts. Approximate Bayesian Computation (ABC) algorithms can be implemented to predict infectious disease trends when applied in a timely manner [6]. This paper provides training for users with little to no experience in parameter estimation from mathematical data. Three case studies with a focus on infectious diseases are presented to spotlight the many userbased factors that can increase accuracy and processing time.
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 11 | Nov 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 765 Pujari, et al. proposed an approach that offers rapid and realistic epidemic predictions useful for health personnel in India. Although, the spread of COVID-19 is well-studied, most models are either computationally expensive, too coarsegrained to be reliable, or too fine- grained to be efficient. The model shown in this study is a hybrid approach of the Susceptible-Infected-Recovered (SIR) model. It includes well-mixed intra-city populations and intercity coupling based on transportation. This allowed for rapid and accurate COVID-19 predictions in India. It predicted most of India’s urban population to be exposed to the virus within the first 90 days of the epidemic unless strict preventative measures were taken that. The study concluded that a small infected population is sufficient for the rapid spread of the pandemic due to its incredibly infectious nature and the popular use of domestic transport networks. III. PROBLEM DEFINITION The pandemic has already taken grip over peoples’ live. Since the pandemic has started, some countries are facing problem of ever-increasing cases. Through the data analysis of cases one can analyze how countries all over the world are doing in terms of controlling the pandemic. Analyzing data leads to accommodate the prevention model of the countries that are doing great in terms of lowering the graph. Predictions are made with the dataset which available to the individual/country/associations, therefore helping them to decide how far they are able to control the pandemic or up to how much extent they should guide preventive measures. Through the project, a step towards helping people to understand the spread and predict the cases in their country has been done. The project also gives an vision of how a country is doing in terms of limiting the spread. IV. METHODOLOGY We are using Machine Learning to give predictions on the basis of data taken from government website[11], and then we clean the data by using excel cleaning methods and give prediction by using the algorithm with highest accuracy to predict COVID -ve or +ve on basis on 5 major symptoms. Fig [a]. Process of Data Collection This is the total process of data collection, how the data was collected, and the method that is still using for increasing data collection. The whole process of data collection through graphs is going to be an idea. The process can be explain in following given points : 1. First, Take the dataset, remove redundant data and organise the data according to our needs. 2. Second, Load the dataset on the Jupyter Notebook and apply data visualization techniques to understand the data better. 3. Third, then we calculate accuracy for various algorithms and plot a graph on the basis of accuracy of various algorithms. 4. Finally, using the accuracy graph we finally use the algorithm with best accuracy in this case (Decision Tree Classifier) to predict the person is either -ve or +ve on the basis of symptoms. A. Description of the Process authentic dataset for the prediction and analysis. Our search for dataset ended on which is govt website which has provided dataset for free use and is absolutely authentic. We are building our own covid prediction System using jupyter notebook. We can describe the process in following steps: Step 1: Cleaning the dataset The very first step in our project is to get a reliable and
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 11 | Nov 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 766 Step 2: Data Visualization Here, we use the dataset and check the consistency of the dataset by checking the values out of the dataset randomly. Then we do data visualization for better understanding of data by the use of various plots, graph and heat maps. All this graphs and plots gets us an insight into huge datasets easily. Step 3: Computing Accuracy In this step we compute accuracy of all the algorithms by checking the four algorithms mentioned here: Logistic Regression, KNN, Random Forest Classifier, Decision tree Algorithm , we selected these algorithms on the basis of their qualities of regression & classification. Step 4: Predicting Covid +ve or -ve In the last step, all we need to do is plot a graph of accuracy of all the algorithms and use the algorithm with best accuracy to predict whether a person has corona or not. We take input of 5 symptoms in binary values and using our predictor we predict the person is positive nor negative on the basis of these 5 symptoms. Then next thing we did was to clean the dataset and remove unwanted columns from dataset for faster computation. B. Algorithm 1. Logistic Regression Logistic Logistic Regression is a Classification model, which tries to classify the data based on the probability of it occurring .This algorithm is used in multiple places where classification is required, we have used it to classify if the patient is susceptible to be infected by covid or not This is one of the classification methods which we have used. It used Sigmoid function to classify the data Sigmoid function converts input into range 0 to 1 2. KNN KNN is a supervised machine learning algorithm KNN forms groups based on the criterias and then decides for the incoming data where to put in which category It can be used for regression and for classification too, but mostly for the classification only its used. Fig [b]. Representation of KNN Algorithm 3. Random Forest Classifier Random forest is a supervised learning algorithm. The "forest" it builds is an group of decision trees, usually trained with the “bagging” system. The general idea of the bagging system is that a combination of learning models increases the overall result. Put simply: random forest builds multiple decision trees and combines them together to get a more accurate and stable prediction. One big advantage of random forest is that it can be used for both classification and regression problems, which form the most of current machine learning systems Fig [c]. Random Forest Classifier
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 11 | Nov 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 767 4. Decision tree Algorithm a. Decision Tree is a supervised machine learning algorithm b.Two nodes which are decision node and leaf node are the ones making the decision c.Repeated if clauses are at work when deciding the classification for the algorithm Fig [d]. Representation of Decision Tree V. IMPLEMENTATION 1. Covid-19 India’s Data Analysis COVID-19 outbreak motivates to do an EDA on the datasets, scraped from different sources such as “Ministry of Health and family Welfare”, “COVID-19 India website”and “Wikipedia” using “Python” and thus analyzing the spread and trend of the COVID-19 in India and done comparison with the neighboring and worst affected countries of the world. The dataset that uses EDA undergoes the method of normalization, choosing of essential columns using filtering, deriving new columns, and visualizing the data in the graphical format. This paper used “Python” for “data processing” and “web scrapping”, “pandas” library to process and extract information from the available dataset. Appropriate graphs created for the better visualization are the results of “Matplotlib” and “Seaborn” library of Python. 1) COVID-19 Cases Spread in India over time Fig [e]. Spread of COVID-19 cases in India over time In the Figure 1, the X axis shows the Dates on an interval of 15 Days and Y axis shows the number of cases (in thousands).Orange line shows “Confirmed cases” (positive cases), Red line represents “Deaths” cases which showing the number of cases who had lost their lives, Green line represents “Recovered” cases which depicts the count of people who has recovered and the Blue line represents “Active” cases, the difference of Deaths and Recovered from Confirmed cases. 2) Vaccinated States in India Using matplotlib, we create a histogram using the hist method. We used the histogram to show the details of the campaign vaccination that is currently running in India on a massive scale. Fig [f]. India Vaccination Details
5.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 11 | Nov 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 768 3) Age-wise spread of COVID-19 in India The pie chart analyse the spread of COVID-19 in India to understand which age group is affected most. Fig [g]. Age-wise spread of COVID-19 in India 4) State-wise Analysis of COVID-19 Kerala reported the first coronavirus case in India on January 30 when a student who had returned from Wuhan. Till February 3, two more students were tested positive after their return from Wuhan. Till then the spread of the COVID19 in India has been on rampage Fig [h]. Sate-wise analysis of COVID-19 in India 5) Symptoms observed for COVID-19 The bar graph in Fig. 5 X-axis shows the percentages and Y-axis shows the name of symptoms which has been analyzed from the people who has been tested till now in India. This is the observation to keep the average symptoms checklist that has been created to keep a lead if some new patients comes and can be helpful in classifying them as positive and negative Fig [i]. .Symptoms for COVID-19 6) Recovery Rate Recovery Rate is calculated by 100* (number of recoveries in a state/number of confirmed cases in a state) The number obtain after this calculation is the number of recovered patients behind every confirmed cases in that state. Fig [j]. Recovery Rate 7) Male and Female Vaccination Ratio Fig [k]. Male and Female Vaccination Ratio
6.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 11 | Nov 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 769 VI. CONCLUSION In this study the main purpose was to analyze the COVID-19 spread in India since the day of outbreak and pattern of spreading of this virus. Study is done about the most common symptoms of COVID-19 that are observed till now, age wise spread of COVID -19 to observe which age group is affected most, the spread of the disease in India, the state wise trend of the pandemic to get detail understanding of how this is spreading. This analysis is to be fed into machine learning models for forecasting the number of confirmed cases, recovery cases and deaths across the globe by analyzing this COVID-19 dataset using machine learning algorithm. This project may be a better model in the future. Or the algorithm that is not giving good predictions, need to work on the algorithm so that the algorithm gives more good predictions. More models can try to create using algorithms. This research work, analysis, and prediction model will help this epidemic situation. REFERENCES [1] Zhu Junlan, Yang Chengke "Data-analysis-based discussion on COVID-19 Pandemic Shocks to the Economy and Policy Responses ," Management Science Informatization and Economic Innovation Development Conference, Year:2020 [2] Changchang hu, “The Topological Properties of COVID-19 Global Activity Time Series Forecasting,” 5th International Conference on Information Science , Computer Technology and Transportation (2020) [3] Ping Zeng, Kewei Yang,, ” Using Big Data to Monitor the Impact of the COVID-19 Epidemic on Notifiable Diseases Reported in China,” 6th International Conference on Big Data and Information Analytics, Year:2020 [4] Afshar Shamsi, Hamzeh Asgharnezhad, Shirin Shamsi Jokandan, “An Uncertainty-Aware Transfer Learning-Based Framework For Covid-19 Diagnosis,” IEEE Transactions On Neural Networks And Learning Systems, Vol. 32, No. 4, April 2021 [5] Carson K. Leung, Yubo Chen,” Big Data Visualization and Visual Analytics of COVID-19 Data,” 24th International Conference Information Visualization, (2020) [6] Huda Khaloofi, Jamil Hussain, Zahra Azhar,“Performance Evaluation of Machine Learning Approaches for COVID-19 Forecasting by Infectious Disease Modeling,” International Conference on Women in Data Science at Taif University, Year:2021 [7] Yunxiang Liu, Yan Xiao,” Analysis and Prediction of COVID-19 in Xinjiang based on Machine Learning,” 5th International Conference on Information Science , Computer Technology and Transportation (2020) [8] Abir Abdullha, Sheikh Abujar,” COVID-19: Data Analysis and the situation Prediction Using Machine Learning Based on Bangladesh perspective,” 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing , Year:2020 [9] Carson K. Leung, Yubo Chen, “Machine Learning and OLAP on Big COVID-19 Data,” IEEE International Conference on Big Data, Year:2020 [10] Lyn Bartram, Michael Correll, Melanie Tory,” Untidy Data: The Unreasonable Effectiveness of Tables,” IEEE Transactions On Visualization And Computer Graphics, Vol. 28, No. 1, January 2022
Download now