Scatter Plot
A scatter plot is a type of graphical representation that displays individual data points on a two-dimensional coordinate system. Each point on the plot represents the values of two variables, allowing us to observe any patterns, trends, or relationships between them. Typically, one variable is plotted on the horizontal axis (x-axis), and the other variable is plotted on the vertical axis (y-axis).
Scatter plots are commonly used in data analysis to visually explore the relationship between variables and to identify any correlations or outliers present in the data.
Line drawn in a scatter plot, that is near to almost all the points in the plot is called the “line of best fit” or “trend line“. The example for the same is added in the image below:
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Data Handling
Data Handling: Nowadays, managing and representing data systematically has become very important especially when the data provided is large and complex, This is when Data Handling comes into the picture.
Data handling involves the proper management of research data throughout and beyond the lifespan of a research project. This process includes establishing and implementing policies and procedures for securely storing, archiving, or disposing of data. It encompasses both electronic and non-electronic means of data management to ensure the data’s safety and security at all stages.
Statistics is another term for data handling, and it is useful not only in the fields of Math and Science but also in the fields where the representation of data is required. Let’s learn about some forms of Data handling, including the graphical representation of data and how they work.
Table of Content
- What is Data Handling?
- Data Handling Meaning
- Graphical Representation of Data
- Pictographs
- Drawing a Pictograph
- Bar Graphs
- Types of Bar Graph
- Vertical Bar Graph
- Horizontal Bar Graph
- Double- Bar Graph
- Line Graphs
- How to Make a Line Graph?
- Pie Charts
- Scatter Plot
- Examples on Data Handling
- Data Handling Worksheet