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Data exploration and manipulation are the initial steps in unlocking the insights hidden within a dataset. They go hand in hand and are crucial for any data analysis project.
Line Plot: This is the most common plot type, used to visualize trends between continuous variables over time or another continuous variable on the x-axis. (Example in your previous query)
Scatter Plot: This plot shows the relationship between two independent numerical variables. It's useful for identifying correlations or patterns.
Bar Plot: This plot represents categories using rectangular bars with heights or lengths proportional to the values they represent. It's good for comparing quantities across categories.
Histogram: This plot shows the distribution of a numerical variable. It visualizes how frequently values occur within a range of predefined bins.
Pie Chart: This circular chart represents proportions of categories within a dataset. It's suitable for displaying the composition of a whole.
Stopwords :
Stpowords are commonly occurring words in a language that are considered to have little meaning on their own. They are frequently filtered out before performing various Natural Language Processing (NLP) tasks because they can clutter the data and obscure the important content.