The document discusses various visual aids used for exploratory data analysis (EDA), highlighting their roles in knowledge extraction and stakeholder presentation. It details different types of charts such as line charts, bar charts, and scatter plots, explaining their characteristics, use cases, and data representation methods. Additionally, it emphasizes the importance of labeling axes and the types of data formats commonly used in visualization.

1. 2. VISUAL AIDS FOR EDA

2. TWO IMPORTANT GOALS
1. TO EXTRACT KNOWLEDGE FROM THE DATA
2. TO PRESENT THE DATA TO STAKEHOLDERS
• Line chart
• Bar chart
• Scatter plot
• Area plot and stacked plot
• Pie chart
• Table chart
• Polar chart
• Histogram
• Lollipop chart

3. LINE CHART
• a continuous variable
• a discrete variable
• a line chart is used to illustrate the relationship between two or more continuous
variables
• A line chart, also referred to as a line graph or a line plot, connects a series of
data points using a line
• This chart type presents sequential values to help you identify trends

4. LINE CHART
• the x-axis (horizontal axis) represents a sequential progression of values( a dimension of
time)
• The y-axis (vertical axis) then tells you the values for a selected metric across that
progression(Ex. money, number of people, percent change, etc.)
• The graph should have each axis, or horizontal and vertical lines framing the chart, labeled
• Line charts can display both single or many lines on a chart
• In real-life scenarios, the data is mostly available in CSV, JSON, Excel, or XML formats

7. BAR CHARTS
• the most common types of visualization
• Bars can be drawn horizontally or vertically to represent categorical
variables.
• bar charts are very convenient when the changes are large

10. SCATTER PLOT
• Scatter plots are also called scatter graphs, scatter charts, scattergrams, and scatter diagrams
• They use a Cartesian coordinates system to display values of typically two variables for a set of data.
• When should we use a scatter plot
1. When one continuous variable is dependent on another variable, which is under the control of the
observer
2. When both continuous variables are independent
• scatter plots are used when we need to show the relationship between two variables
• referred to as correlation plots

11. Some examples in which scatter plots are suitable are as follows:
• Research studies have successfully established that the number of hours of
sleep required by a person depends on the age of the person.
• The average income for adults is based on the number of years of education