FREE 10+ Exploratory Data Analysis Samples [ Python, Analytics, Spatial ]

John Turkey said: “This is my favorite part about analytics: Taking boring flat data and bringing it to life through visualization. The greatest value of a picture is when it forces us to notice what we never expected to see. ” Being characterized as a brief, and preliminary stage in the research study, conducting an exploratory work is a unique method of approaching and carrying out a social research. Plus, it is a compelling way which helps move present methodological discussions beyond listing the advantages and disadvantages connected with a set or either of other research methods.

So, as one of the researchers out there, you need to write an effective exploratory analysis report. In this article, we have some informative guide and downloadable best exploratory data analysis report templates to guide you in your research work. Keep on reading!

10+ Exploratory Data Analysis Samples

1. Exploratory Data Analysis Sample

2. Standard Exploratory Data Analysis

3. Exploratory Data Analysis Format

4. Exploratory Data Analysis Python

5. Exploratory Data Analysis and Graphics

6. Editable Exploratory Data Analysis

7. Formal Exploratory Data Analysis

8. Strategic Exploratory Data Analysis

9. Basic Exploratory Data Analysis

10. Professional Exploratory Data Analysis

11. Exploratory Finance Data Analysis

What is Exploratory Analysis?

Exploratory analysis is a significant tool that is aimed at analyzing and investigating data sets and creating a summary of their primary characteristics for research work . As an efficient researcher, you can use this so that you are able to identify whether the statistical techniques you are considering for data analysis are suitable for the research project. 

How to Write an Exploratory Analysis 

While you are working on several exploratory research methods, you need to take some ample time to look carefully at the trends, patterns, and outliers. Before you go to machine learning or data modeling, you need to be effective in performing an analysis for your exploratory research. Below are some easy-to-follow tips that indicate how to design and initiate an exploratory analysis report, as well as managing different types of stages in writing an effective exploratory research project: 

1. Determine variables and data types

One of the primary aspects of writing an exploratory analysis report is determining variables and data types. There are two types of variables: Numerical and Categorical. Then, specify the predictor and target variables.

2. Evaluate the basic metrics

Use several data research and analysis tools which are typically applied in data manipulation, scientific computing, and data visualization. For instance, you can use an object-oriented programming tool called Python which is typically used in streamlining large complex data sets for analysis. 

3. Visualize the analyzed data

Then, visualize the analyzed data by using a structured outline. A structured outline is integral in turning your report simple, concise, and clear to help your readers fully comprehend the explanations and overall message of your analysis. Also, you can use some charts, graphs, tables, and other visual diagrams to demonstrate and clarify your analysis.

4. Edit or revise your analysis

The last important step of writing an exploratory analysis report is doing some necessary edits or revisions of your analysis work. Ask your colleagues and other professionals in your field regarding the quality and content of your analysis. After knowing their own recommendations and opinions on your work, apply some useful corrections on your analysis report. 

FAQs

The book “Graphical Exploratory Data Analysis” stated that graphics such as diagrams, pictures, charts, illustrations, and schematic representations are important aspects for conveying relations and trends in an informal and visual form while conducting an exploratory analysis. It also acts as a data-exploring technique through which a certain researcher gains knowledge concerning the data, which enables him to develop conditional analyses or evaluations. However, you need to be careful when you encounter misrepresentations of data.

Here are some of our downloadable and printable exploratory data analysis samples available in different kinds of formats. Simply click the free exploratory data analysis for beginners in this article and start downloading now!