Collecting public data to analyze and visualize green onion prices

Data collection - analysis - visualization all at once,
Easy and fun public data analysis 🧮

The key is data,
How can we make good use of it?

The demand for data literacy is growing day by day. From data collection to analysis and visualization, discovering valuable insights from vast amounts of data requires a diverse range of skills. So how can we learn these skills? And how can we apply them to real-world scenarios ?

In the spring of 2021, the price of green onions skyrocketed, making them a hot topic of conversation. Data can be used to understand when this surge began and how significant the change was.

Easy and fun with public data
Data analysis!

In this lecture, we'll learn about data analysis using the public data API "Agricultural and Fishery Product Wholesale Market Auction Prices."

_{Data Analysis and Visualization Examples}

You'll experience the entire process of collecting and preprocessing data, analyzing it, and visualizing it using three Python- based libraries: Requests, Pandas, and Matplotlib. If you've ever wanted to experience the entire data utilization cycle, this course is for you!

Who would benefit from learning this?

• Anyone who wants to try data analysis
• I learned Python, but I'm not sure where or how to use it.
• Anyone who was curious about real-world examples of data analysis and collection

What's special about this course!

Learn compactly.

• I will boldly omit the basics of Python, such as variable declarations, types, and functions.
• Instead, we focused on learning and applying the libraries needed for real-world data analysis .

Please use it wisely.

• There are many data analysis books and courses that cover topics that can only be utilized if you have data.
• So, in this lecture, we'll start by collecting and creating data ourselves .
• Instead of relying on unfamiliar data from overseas, we'll make data analysis more accessible through agricultural and fishery product data closely related to our daily lives.

Python One by one
Starting data analysis,
Learn from this lecture.

HTTP request
Send it simply
Requests

In the data
to derive insights
Pandas

The collected data
Visualizing
Matplotlib

Expected Questions Q&A

Q. Are there any good lectures to listen to first?

Yes, this course requires prior knowledge of Python. Beginners are advised to take the following course first.

Web Data Extraction with Python Crawling, from Introduction to Practice
Building a Crawler from the Basics in Python

Q. Do I need to know about Pandas?

For Pandas lectures, I recommend taking the following lectures.

Analyzing and Processing Data with Python Pandas
Data analysis/processing, step by step from the basics