How to use MySQL and Ruby to implement a simple data analysis report function

How to use MySQL and Ruby to implement a simple data analysis report function

Introduction:
In today's data-driven era, data analysis plays an important role in corporate decision-making and Development plays a vital role. As an important part of data analysis, data analysis reports are of great significance for organizing, visualizing and interpreting data. This article will introduce how to use MySQL and Ruby to implement a simple data analysis report function, and provide corresponding code examples.

1. Database design and table creation
To realize the data analysis report function, you first need a database to store data. This article takes MySQL as an example to store data by creating corresponding tables.

1. Database connection:
   In Ruby, you can use the mysql2 gem to connect and operate the database. First, you need to install the mysql2 gem, which can be installed through the following command:

gem install mysql2

After that, you can connect to the database through the following code:

require 'mysql2 '

client = Mysql2::Client.new(:host => "localhost", :username => "root", :password => "password", :database => "database_name ")

Among them, :host represents the database host, :username represents the database user name, :password represents the database password, and :database represents the database name.

2. Create table:
   Create a table in the database to store data. Taking the student performance report as an example, create a table named scores, including fields such as student name (name), subject (subject), and grade (score). The table can be created through the following code:

client.query("
CREATE TABLE scores (

id INT AUTO_INCREMENT PRIMARY KEY,
name VARCHAR(255),
subject VARCHAR(255),
score FLOAT

)
")

where, The id field is the primary key, the name field is the student's name, the subject field is the subject, and the score field is the grade.

2. Data import and query
In the data analysis report function, you need to import the original data into the database and obtain the required data through query statements.

1. Data import:
   First, the original data needs to be imported into the database. You can use the INSERT INTO statement to insert data into a table. The following is a sample code for inserting data:

client.query("
INSERT INTO scores (name, subject, score)
VALUES ('Zhang San', '中文', 90),

     ('李四', '数学', 95),
     ('王五', '英语', 85)

")

The above codes will be inserted into Zhang San's Chinese score of 90 points, Li Si's math score of 95 points, and Wang Wu's English score of 85 points.

2. Data query:
   In the analysis report function, it is usually necessary to obtain the required data through query statements. The following is a sample code to query the scores of all students:

results = client.query("
SELECT name, subject, score
FROM scores
")

The above code will return the names, subjects and grades of all students in the table.

3. Data analysis and report generation
After obtaining the required data, you can use Ruby for data analysis and report generation.

1. Data analysis:
   First, you can use Ruby's data analysis library (such as Numo::NArray, Pandas, etc.) to analyze the data. Here is a sample code that calculates the average score:

scores = []
results.each do |row|
scores end

average = scores.inject(: ) / scores.length

The above code will calculate the average score of all students.

2. Report generation:
   Use Ruby's report generation library (such as Prawn, Axlsx, etc.) to visualize data into reports. The following is an example code to generate a histogram:

require 'prawn'
require 'gruff'

pdf = Prawn::Document.new
g = Gruff ::Bar.new
g.title = "Student Score Report"

results.each do |row|
g.data(row['name'], [row['score' ]])
end

g.write('report.png')
pdf.image 'report.png', width: 400, height: 300

The above code A histogram will be generated and the chart will be inserted into the PDF report.

Conclusion:
Through the above steps, we can use MySQL and Ruby to implement a simple data analysis report function. First, design database tables to store data. Then, import the data into the database and obtain the required data through query statements. Finally, use Ruby for data analysis and report generation. I hope this article can help readers apply the data analysis report function in actual projects.

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