• Topic: Data Exploration • Ch2: AI Project Cycle • Subject: Artificial Intelligence (417) • CBSE Class IX and X (2023-24) Data Exploration • Data exploration means understanding the nature of data. • Data Exploration refers to the techniques and tools used to visualize data through complex statistical methods. • Data can be arranged in the form of table, plotting a chart or making database. • Data Exploration refers to techniques and tools that are used for identifying important patterns and trends. • After Data Acquisition first the data needs to be cleaned by removing redundant or unrequired data and handling missing values. • Data verification is done to make data errors free and according to specifications decided for our AI project. • Then its characteristics are to be thoroughly understood by visualizing it • All this process is known as DATA EXPLORATION. Data Visualization • Data visualization is the process of representing data visually or graphically by using visual elements like charts, graphs, diagrams, maps etc.. • When the amount of data is very high then it becomes easy to understand that by visualizing it. Importance of Data Visualization • Quickly understand the trends, relationships and patterns contained within the data. • Visual representation of data simplifies the presentation and reduces the complexity of the data. • To understand the structure of the dataset. • To identify the presence of data points that differ significantly from other observations (Called outliers) • Define strategy for selection of which AI model to use at a later stage. Helps to make decisions faster. • It helps in interpreting and comprehending the communicated information clearly and effectively. Link to download Data Exploration Activities https://drive.google.com/file/d/1bCU3… To know specifications of any type of data visualization we can explore the website https://datavizcatalogue .com/ #417 #ai #artificialintelligence #cbse #cbseboard #CBSEClass10 #CBSEClassX #class10 #classX #AIProjectCycle #DataExploration
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