Data Analysis Common Tools&Technology&Learning Platform&Code

Some common tools and techniques for data analysis:

1. Excel :
   Excelis one of the most commonly used data analysis tools. It enables basic statistical analysis, charting, and data visualization.
2. Python :
   Pythonis a popular programming language that is widely used in data science. It has powerful data analysis libraries such as Pandas, NumPy and SciPy.
3. R :
   Ris a programming language designed for data science with powerful data analysis and visualization capabilities.
4. Tableau :
   Tableauis a data visualization and business intelligence tool that presents data through intuitive charts and interactive dashboards.
5. SQL :
   SQLis a language used to manage and process relational databases. It enables data query, analysis and aggregation.

Data analysis learning platform & link:

• Kaggle :
  Kaggleis an online data science community that provides a wide range of data sets, competitions, and tutorial resources.

https://www.kaggle.com/

• Coursera :
  Courserais an online learning platform that offers many data analysis and data science courses.

https://www.coursera.org/learn/data-analysis

• DataCamp :
  DataCampis an online data science learning platform that provides tutorials on data analysis tools such as Python, R, and SQL.

https://www.datacamp.com/

• Udemy :
  Udemyis an online education platform that offers a large number of data analysis and data science courses.

https://www.udemy.com/topic/data-analysis/

• Data.gov :
  Data.govis a public data repository provided by the U.S. government that contains various types of data sets that can be used for analysis and research.

https://www.data.gov/

Data Analysis code example:

1. Python (Pandas lib)

import pandas as pd

#读取CSV文件为DataFrame
df = pd.read_csv("data.csv")

#查看前几行数据
df.head()

#查看数据信息
df.info()

#计算各列统计信息
df.describe()

2. R：

#读取CSV文件为DataFrame
df <- read.csv("data.csv")

#查看前几行数据
head(df)

#查看数据信息
str(df)

#计算各列统计信息
summary(df)

3. SQL：

--连接数据库
USE dbname;

--查询数据
SELECT column1, column2, column3
FROM tablename
WHERE condition;

--计算各列统计信息
SELECT COUNT(column), AVG(column), MAX(column), MIN(column)
FROM tablename;