Data Analysis & Graphs

title

1. Review your data. Try to look at the results of your experiment with a critical eye.
2. Calculate an average for the different trials of your experiment, if appropriate.
3. Make sure to clearly label all tables and graphs.
4. Place your independent variable on the x-axis of your graph and the dependent variable on the y-axis.

More videos on YouTube

1. When reading the graph from left to right, the line rises if the slope is positive.
2. When reading the graph from left to right, the line falls if the slope is negative.
3. The line gets steeper as the absolute value of the slope get larger. (
4. For example a slope of 2 is steeper than a slope of 1/4.

Remember that a good graph show clear facts and will be visually accurate. It will grab the attention of the reader and show data clearly. It will demonstrate and be simple. The use of a graph will present data in a quick way, lift out the most important facts and will be easily remembered.

Graphs are a common method to visually illustrate relationships in the data. The purpose of a graph is to present data that are too numerous or complicated to be described adequately in the text and in less space. Do not, however, use graphs for small amounts of data that could be conveyed succinctly in a sentence.

Using graphs, diagrams and charts can help your reader to get a clearer picture of your research findings and how they compare with other data. Making them different colours can help the reader to differentiate each result. Pie charts show the proportion of the whole that is taken by various parts.

5 Practical Applications of Graph Data Structures in Real Life

• Social Graphs.
• Knowledge Graphs.
• Recommendation Engines.
• Path Optimization Algorithms.
• Scientific Computations.

So we’ll start off with four basic chart types, one for each of these value-encoding means.

• Bar chart. In a bar chart, values are indicated by the length of bars, each of which corresponds with a measured group.
• Line chart.
• Scatter plot.
• Box plot.
• Histogram.
• Stacked bar chart.
• Grouped bar chart.
• Area chart.

Bar charts are good for comparisons, while line charts work better for trends. Scatter plot charts are good for relationships and distributions, but pie charts should be used only for simple compositions — never for comparisons or distributions.

General diagram types

There are two main categories; structure diagrams and behavioral diagrams. Click on the links to learn more about a specific diagram type. Structure diagrams show the things in the modeled system. In a more technical term, they show different objects in a system.

• Simple Bar Chart.
• Multiple Bar Chart or Cluster Chart.
• Stacked Bar Chart or Sub-Divided Bar Chart or Component Bar Chart. Simple Component Bar Chart. Percentage Component Bar Chart. Sub-Divided Rectangular Bar Chart. Pie Chart.

The best reason to use a diagram is to provide images of events described in the text.

A diagram is usually a two-dimensional display which communicates using visual relationships. It is a simplified and structured visual representation of concepts, ideas, constructions, relations, statistical data, anatomy etc. It may be used for all aspects of human activities to explain or illustrate a topic.

The balance between the positive (objects) and the negative (whitespace) is fundamental to create an aesthetic pleasing diagram. Whitespace can help to emphasize particular elements but also help to balance the objects in the diagram. Using too much whitespace and a relationship between two objects may get lost.

How to get started with our dynamic diagram creator

1. Determine the type of diagram you need to use. Identify which diagram will best help you organize your ideas and then open a blank canvas.
2. Add shapes to your diagram.
3. Connect shapes.
4. Format your diagram.
5. Collaborate, analyze, improve, and share.

Create a tree diagram

1. Click File > New > Templates > General, and then open Block Diagram.
2. From the Blocks and Blocks Raised stencils, drag block shapes onto the drawing page to represent stages in a tree structure.
3. To add text to a shape, select the shape, and then type.
4. Indicate relationships between the blocks by connecting the shapes:

Typically the structure of a Tree Diagram consists of elements such as a root node, a member that has no superior/parent. Then there are the nodes, which are linked together with line connections called branches that represent the relationships and connections between the members.

A tree diagram is a new management planning tool that depicts the hierarchy of tasks and subtasks needed to complete and objective. The finished diagram bears a resemblance to a tree, with a trunk and multiple branches. It is used to break down broad categories into finer and finer levels of detail.

How do you create a decision tree?

1. Start with your overarching objective/“big decision” at the top (root)
2. Draw your arrows.
3. Attach leaf nodes at the end of your branches.
4. Determine the odds of success of each decision point.
5. Evaluate risk vs reward.

Decision Trees are a non-parametric supervised learning method used for both classification and regression tasks. Tree models where the target variable can take a discrete set of values are called classification trees.

Decision trees are used for handling non-linear data sets effectively. The decision tree tool is used in real life in many areas, such as engineering, civil planning, law, and business. Decision trees can be divided into two types; categorical variable and continuous variable decision trees.

Simply head on over to www.canva.com to start creating your decision tree design. You don’t need to download Canva, just create an account and log in.