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Blog 60

 Pie charts are a way to show how different parts make up a whole. The chart is a circle that is divided into pieces, where each piece's a category. The size of each piece shows how much of the whole it is. People use pie charts a lot in business, education and marketing because they are easy to understand. For example a company might use a pie chart to show how much of the market they have or how their sales are distributed or how they are spending their money. Schools use them to show what students think or how well they are doing. One good thing about pie charts is that they give you an idea of how things are divided up. They are simple. Look nice and they are good for showing small groups of data. You can use things like Microsoft Power BI and Google Sheets to make pie charts. Pie charts are not so good when there are too many categories because the pieces get too small and hard to compare. It can also be hard to see differences, between the numbers. With these problems pie cha...
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Blog 59

 Bar charts are really common when it comes to looking at data. They use bars to show information and the length of each bar is the value of what you're measuring. You can have bar charts that go across the page or up and down it just depends on what you're trying to show. I think bar charts are useful because they make it easy to compare things. For example a company might use a bar chart to see how well different products are selling.. A school might use one to compare how students are doing in their classes. Even the government uses bar charts to show things like how many people live in a place or how the economy is doing. Bar charts are great because they are easy to understand and simple to look at. They help people see what is going on with the data like what's the highest or lowest value or what is different between groups. There are programs like Microsoft Excel and Tableau that make it easy to create bar charts. Sometimes bar charts can be hard to read if there is ...
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Blog 58

 Association rule mining is a way to find connections between things in sets of data. It helps companies see how certain things are related to each other. Companies use association rule mining in stores, online shopping and advertising. For example stores use something called market basket analysis to see what people buy together. If people often buy bread and milk at the time the store might put these things near each other or have a special deal on them. Amazon uses association rule mining to suggest things to buy The Apriori Algorithm is a way to do association rule mining. It looks for things that people buy together a lot and makes rules based on what people do. This helps companies sell things make better advertising plans and keep track of what they have in stock. Association rule mining can get complicated when looking at really big sets of data. It can make many rules and some of them might not be important. The quality of the data and how powerful the computers are also m...
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Blog 57

 Clustering is a way to group things together in data. It is different from classification because it does not need categories that are already defined. Clustering finds patterns and similarities in data on its own. Businesses use clustering to understand what their customers are like. For example stores can group customers by age. What they like to buy. This helps them make marketing plans that're just right for certain customers. Clustering also helps social media sites suggest friends or things to look at based on what people do on the site. There are a ways to do clustering. One way is called K-Means Clustering, which puts data into groups. Another way is called Clustering, which makes groups that look like a tree. Clustering is used in fields, including healthcare recognizing pictures and doing research. The good thing about clustering is that it helps us find patterns in data that we might not see otherwise. This can make business plans better make customers happier and help ...
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Blog 56

 Classification is something that people use a lot to look at data. It helps to put data into groups based on what we have seen before. We train a model with the data we already have. Then we use that model to figure out where new data fits in. Classification is used in different areas. For example in healthcare classification can help doctors figure out if a patient is sick based on what's wrong with them and what has happened in the past. In banking classification helps to find transactions that're not normal so we can stop bad people from stealing money. Email services use classification to keep spam emails out of our mailboxes and make sure we see the messages. We use computer programs like Decision Trees, Naive Bayes and Support Vector Machines to do classification. The good thing about classification is that it helps people make decisions faster and more correctly. Classification needs a lot of good data to work well. If the data we use to train the model is not complete ...
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Blog 55

  Big data is used a lot in transportation systems to make traffic flow reduce congestion and make roads safer. Big data is collected from things like GPS devices, traffic cameras, road sensors, mobile apps and public transport systems. Then this big data is worked on using tools to find patterns and make decisions right away. Navigation apps like Google Maps use data to give people live traffic updates and suggest the fastest routes. They look at how fast traffic's moving, where accidents are happening and where roads are closed to help people get where they are going faster. City planners and governments use data to make transportation systems smarter. Traffic lights can be changed based on what is happening with traffic right now which helps reduce congestion. The schedules for transportation can be improved by looking at when people are traveling the most and when they need to get somewhere. Big data also makes roads safer by finding places where accidents happen a lot. The peo...
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Blog 54

 Big data is really important for companies that sell things online. It helps them understand what customers like and do not like. It helps them make their businesses better. When people search for things click on things buy things write reviews and spend time looking at things on websites all of that information is collected. Then it is looked at closely to figure out what customers like. What is popular. One of the ways that big data is used is to suggest products to customers. For example Amazon uses data to show customers things they might want to buy based on what they have done on the website before. This helps Amazon sell things and it makes customers happier. Big data also helps companies show customers ads that're actually interesting to them. Big data is also very helpful for managing the products that companies have in stock. Companies can use data to guess how many of each product they will need so they do not run out or have too many. Companies can also use data to rea...
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