- Hands-On Exploratory Data Analysis with Python
- Suresh Kumar Mukhiya Usman Ahmed
- 105字
- 2021-06-24 16:44:57
Data analysis
This is the most important part of EDA. This is the part where we gain insights from the data that we have.
Let's answer the following questions one by one:
How many emails did I send during a given timeframe?
At what times of the day do I send and receive emails with Gmail?
What is the average number of emails per day?
What is the average number of emails per hour?
Whom do I communicate with most frequently?
What are the most active emailing days?
What am I mostly emailing about?
In the following sections, we will answer the preceding questions.
推薦閱讀
- Getting Started with Citrix XenApp? 7.6
- Interactive Applications Using Matplotlib
- Python機(jī)器學(xué)習(xí)經(jīng)典實(shí)例
- Android 應(yīng)用案例開發(fā)大全(第3版)
- Learning ArcGIS for Desktop
- Keras深度學(xué)習(xí)實(shí)戰(zhàn)
- Unity 2D Game Development Cookbook
- 零基礎(chǔ)Java學(xué)習(xí)筆記
- Microsoft Azure Storage Essentials
- The Professional ScrumMaster’s Handbook
- Processing創(chuàng)意編程指南
- R Data Science Essentials
- SSH框架企業(yè)級(jí)應(yīng)用實(shí)戰(zhàn)
- Elasticsearch搜索引擎構(gòu)建入門與實(shí)戰(zhàn)
- Instant AppFog