INTRODUCTION
Trends Of Data Analytics in Different Sector
Fuction of data analytics is to help individuals or organizations to analyze raw data for insights and trends. To analyze this data we can use various of tools and techniques to help organizations make decisions and succed.
Sector 1 : Artificial Intelligence
Artificial Intelligence (AI) is the science aiming to make machines execute what is usually done by complex human intelligence. AI and data analytics have same thing which are both of them rely on data.
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Sector 2 : Data Discovery / Visualization
Data discovery is a process of collecting data from various internal and external sources. In this data discovery, we use advance analytics and visualizations to consolidate all the information that allow the others to analyze and manipulate information in an intuitive way and extract actionable insights.
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Sector 3 : Business
Lot if businesses approach analytics as a nice-to-have support function that's embracing it as mission critical. Not only that, they also invest in continuous analytics education and to work toward building a community that cultivates data cultures that not just inside their own organization but with others in the industry as well.
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Reflection of These Trends
The prospect of data analytics does not appear to be going away anytime soon. The employment options are already rather diverse based on the trends listed above. It seems that, the jobs that related to big data analysis such as data scientists and data analysts can work in many sector that they prefer such as in healthcare sector, business, digital marketing and many more. Although the broad range of job opportunities implies that further knowledge of the area outside of data analytics is required, this isn't always a bad thing. Because it would also imply that we would learn more knowledge, and information is the key to everything in today's society.
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Describe Industrial Talk 7
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1)What
-Microsoft Power BI is a business intelligence (BI) platform that provides tools for nontechnical business users to aggregate, analyse, visualise, and share data. Power BI package includes a variety of products, connectors, and services, including Power BI Desktop, Power BI service is based on Software as a Service (SaaS), and mobile Power BI apps for various platforms.
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2)When
-It is used when someone needs to build a custom visualization because Power BI can build unique dashboards based on what data is important and what information that required access to, so how you utilize it depends on your role.
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3)Where
-We can get this tool by searching it on browser and it will directly go to Microsoft Store to download it. Microsoft Power BI appears to be more user-friendly than Microsoft Excel, owing to the fact that it is used alongside automation systems.
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Reflection on Industrial Talk 7
​Microsoft Power BI appears to be more user-friendly than Microsoft Excel, owing to the fact that it is used alongside automation systems. Furthermore, users do not need to create another Excel sheet to include any existing data from the prior project. It is done automatically with a single click. It is also an excellent system for converting data into computer representation, and has its own program language called data analysis expression that will calculate all of the data to visualize.
GROUP MEMBER
1) Malleylene Peneh (A21EC0052)
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-Graph interpretation
-Discussion
-Conclusion
2) Puteri Nur Eleeya Syafika Binti Mohd Zabidi (A21EC0124)
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-Title of report
-Variable transformation
-Narative
3) Harchana A/P Arulappan (A21EC0028)
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-Trends of data analytics
-Reflection on trends of data analytic
4) Nasrul Amin Bin Ab Hadi (A21EC0099)
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-Describe industrial talk 7
-Reflection on industrial talk 7
Narrative
All countries in the world have been infected with the Covid 19 virus and even in countries in Europe it has not escaped. Among the countries in Europe that have high cases are the United Kingdom (UK), France, Spain, Italy, Germany and Portugal. This data we obtained from the Kaggle website, which is obtained from Worldometer to write a report on statistics on cCvid 19 weekly cases. The use of Microsoft Power Bi helps us to visualize our data.
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According to Worlometer as many as 60M population in Europe have been affected with Covid 19 infection. Six major countries in Europe namely France, United Kingdom (UK), Italy, Spain, Germany and Portugal are the countries that have the highest number of Covid 19 cases. The number of deaths recorded by these six countries in the last 7 days was 6189 while in the preceding 7 days it was 5419 cases. The percentage change in death cases that has been recorded is 113%.However, what is the maximum of weekly case change that will be recorded by these six countries.
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THIS PICTURE SHOWS VISUALISE DATA FROM MICROSOFT POWER BI
CLICK THIS ICON TO
OPEN THE DATA
Graph Interpretation
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1) According to pie chart, German have the highest population which is 84M, followed by UK (68M), France (65M), Italy (60m), Spain (47M) and at the least Portugal which have 47M population.
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2) Based on gauge chart, maximum for weekly case change is 72 %.
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3) Based on stacked bar chart 1, in the preceding 7 days, UK has recorded the highest number of cases at 1.4M while Portugal has the lowest number of cases among the six countries
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4) According to stacked bar chart 2, Italy has reported the highest change of of weekly case which is 72% while the UK has reported the lowest weekly case change with a percentage of 29%
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5) In clustered column chart, its shown cases in the last 7 days by country. This chart shown that France has recorded the highest number of cases in the last 7 days which is 1.5M while the lowest cases have been recorded by Portugal which is Portugal
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Discussion
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At 1735, Germany had the highest deaths in the last 7 days and was 1,395.69% higher than Portugal, which had the lowest deaths in the last 7 days at 116. Germany accounted for 28.03% of deaths in the last 7 days. Across all 6 Cases in the last 7 days, deaths in the last 7 days ranged from 116 to 1735.
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Transformed Variables
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