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Mastering Data Analysis and Visualization with Just Two Documents

When you use Pandas for data analysis, preprocessing, machine learning, and deep learning, you tend to use only the functions you use frequently. There is a Pandas Cheat Sheet that collects and organizes only these essential contents. For those who get tired of learning Pandas from a thick book, we will teach you Python Pandas with just two pages of documents. Learn the core functions of Pandas with the cheat sheet provided in the official Pandas tutorial.

(4.8) 170 reviews

2,558 learners

  • todaycode
Python
Pandas

Reviews from Early Learners

What you will learn!

  • Key features from the Pandas Cheat Sheet

  • Python Data Analysis

  • Data preprocessing for machine learning and deep learning

  • Data Visualization

  • Crawling, preprocessing, analyzing, and visualizing the Seoul City COVID-19 site using Pandas

Python Pandas Data Analysis, the essentials all at once!

In just two documents
Pandas data analysis
Can you solve it?

There is a library called Pandas that allows you to use Excel-like functions in Python.

Excel can't handle it
Large-scale data processing is also OK.

Pandas is for data analysis and preprocessing.
It is a Python data analysis library.

When doing data analysis, preprocessing, or visualization with Python Pandas, you will mainly use the functions that you use most. And there is a cheat sheet that organizes these core functions into just two pages.

However, if you look at a cheat sheet that only contains such core contents, you may be at a loss as to what content to practice and how to practice it. In this lecture, we will explain only the core contents of the cheat sheet and guide you through how to easily use complex Matplotlib with Pandas. Let's try it together.


Who would benefit from learning this?

data analysis,
Required for ML/DL
I want to do preprocessing
People who do it

Large volume of data
Open it with Excel
The file won't open
Those who were confused

Using Excel
do data analysis
In complex formulas
Tired person

Various in Excel
I implemented the formula, but
It's slow
People who had to work overtime

📣 Check your player knowledge!

  • Prerequisite knowledge of Python and Jupyter Notebooks, Anaconda, and row/column concepts in Excel is required.

Focusing on official documents
Easy, fast and accurate.

One, in the Jupyter notebook
Using docstring

You don't need to memorize all the methods. The functions used are fixed. In this lecture, I will teach you how to practice by searching the official documentation in Jupyter Notebook so that you can learn on your own by looking at the help and documentation.

2. Pandas data visualization
How to do it twice as well!

Do you know which graph is appropriate for which data? In this lecture, we will look at the differences and usage of bar graphs, frequency distribution tables, histograms, and normal distributions. In addition, we will explain various Python visualization methods and options through the official Pandas documentation.

Bonus, visualize Series and DataFrame data!

Python Pandas Visualization Example

Python Pandas Visualization Example
Python Pandas Visualization Example
Python Pandas Visualization Example

Additional updates!
Perfect for practical use
Data analysis project.

We will analyze the Seoul City COVID-19 Status Site using Pandas from data crawling to preprocessing, analysis, and visualization. You can analyze the content learned in just two documents into a project similar to the actual work . (Section 13)

First, we directly analyze data that we frequently encounter in our daily lives through the news.

  • Which district has the most confirmed cases?
  • Which hospital treated the most confirmed cases?
  • Are there any hospitals that people are frequently transferred to by district?
  • Which district has the most confirmed cases from overseas?
  • How can I preprocess texts from multiple countries, such as Europe, South America, etc?
  • How much difference will there be in the number of confirmed cases coming from overseas from month to month?

Second, understand and practice data preprocessing methods using Pandas.

  • How do I get the year, month, day, day of the week, and week number from a text date?
  • How can we calculate the cumulative number of confirmed cases using confirmed case status data?
  • What is the difference between groupby, crosstab, pivot, and pivot_table, and which function is appropriate to use?

3. Understand the data structure of data frames and series and process them into a form suitable for analysis.

  • How should I create a data frame for drawing a graph using Pandas' plot?
  • How can I change my dataframe if I want to display values in different colors based on their categorical values in the graph?
  • Is there any way to convert a series to a dataframe?

Python Visualization & Analysis Examples,
Check it out for yourself in class!


Created this course
If you are curious about the knowledge sharer? 👩‍💻

Knowledge Sharer Park Jo-eun X Inflearn Interview

Recommended for
these people

Who is this course right for?

  • Anyone who wants to do preprocessing for data analysis, machine learning, and deep learning in Python

  • If you were confused because a large amount of data could not be loaded when opening it in Excel

  • Are you tired of Excel's complicated formulas?

  • If you implemented various formulas in Excel but had to work overtime because the speed was slow

Need to know before starting?

  • Python

  • Jupiter Notebook

  • anaconda

  • Excel's Row and Column Concept

Hello
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Curriculum

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63 lectures ∙ (11hr 10min)

Course Materials:

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Reviews

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170 reviews

4.8

170 reviews

  • eypark1465님의 프로필 이미지
    eypark1465

    Reviews 1

    Average Rating 5.0

    5

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    講師の分析方法を私のものにしたいです。 ありがとうございます。

    • wonseok

      貪欲ですか?

  • wonseok님의 프로필 이미지
    wonseok

    Reviews 15

    Average Rating 4.7

    5

    89% enrolled

    初級者としてパンダスに関する概念を全般的に身につけ、実際の分析にどのように活用できるかを細かく学べる名講義だと思います。パンダス関連の講義をいくつか聞いてみましたが、細心の部分まで一つ一つクオリティに教えてくれる講義はこの講義しかないようです。もう一度復習した後、実際の業務用データとしても適用して分析してみたいと思います。良い講義を作っていただきありがとうございます!

    • easonjung1977님의 프로필 이미지
      easonjung1977

      Reviews 1

      Average Rating 4.0

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      全体的に良い講座でした。私の敬意のパンダスを一人で本として勉強し、この講座をパンダスの繰り返し学習や応用を目的に申請して聞くようになりました。 パンダスチートシートの講座は実際にはあまりありませんでした。パンダスを初めて見たり、Pythonを初めて、あるいは非常に基礎の方の方はあまり役に立ちません。 YouTubeのビデオでは大丈夫ですが、お金を受け取り、講義でSunを少し残念な部分があります。 ソウル市コロナ分析講義は良かった。パンダスを応用してデータをどのように加工して自分が望む形、結果が得られるかを練習することができ、パンダス基礎を勉強した低ローソン非常に便利なパートになりました。 そして、途中で教えてくれるヒントもとても役に立ちました。 shift-tabとか、関数の後?を使ってドゥストリングを見ることができるとか... おそらくこんなにハチミツのヒントでしょう... 一行まとめ:パンダス 初めて始める方々 照らし、パンダスちょっとご存知の方々におすすめです。

      • flyhigh님의 프로필 이미지
        flyhigh

        Reviews 1

        Average Rating 5.0

        5

        37% enrolled

        良いカリキュラムです私のような入門者も動作原理と結果物を一緒に見ることができ、何よりも質疑応答部分がとても気に入っています。知らないことがあれば先生に質問するように、快適に質疑応答をすぐにしてくださり、そして先生の声の波長帯がとても好きで集中がよくなります。

        • ptr81903298님의 프로필 이미지
          ptr81903298

          Reviews 1

          Average Rating 5.0

          5

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          統計学科を卒業後、データ分析職として働いて退社し、パク・ジョウン教授を通じてPythonを利用したデータ分析の勉強中です。明らかな例のデータではなく、時期的に適切なデータを活用して簡単に教えてくれて、興味深い講義に従うことができました。 YouTubeもよく見ています。ありがとうございます!

          $35.20

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