General Procedure for data analysis: questions, be understood that the data (data acquisition), data cleaning, building the model, and the results are shown data visualization .
First, the problem
1, Shenzhen, data analysis about the salary positions? Work Experience how?
2, Shenzhen, data analysis, salary and job experience requirements What is the relationship?
3, Shenzhen City which best job in data analysis?
4, according to their actual situation, which companies post their own data analysis?
Second, understand the data
1. Data acquisition
Since the initial data is more complicated, so the initial data cleansing, leaving only the company name, company position, salary, job benefits, skill requirements.
2. Understand the data
Company Name: Data Analysis job title company
Company Position: different data analysis company title may be different, such as data analysis specialist, data analyst
Salary: employee pre-tax salary
Job Benefits: companies to attract local staff, allowing staff to continue struggle
Required Skills: Candidates need to analyze the data requirements
Third, data cleansing
Cleaning including data deleting duplicates, and missing values handling invalid value, the consistency check data, and outlier data sorting processing step. Data can be obtained by washing a cleaner data.
Fourth, build a model (data analysis - descriptive statistics)
Select Excel data analysis module, choose descriptive statistics, select average salary column to obtain descriptive statistics salary
Fifth, data visualization (data analysis - addressing the needs)
1, Shenzhen, data analysis about the salary positions? Work Experience how?
1) salary
In order to analyze salary data analysis, Shenzhen positions, create PivotTable, first "company name" as the row, the "average salary" as a statistical function using the average value, "the average salary" as a statistical function using the average value, view, and a perspective view of the pivot table to obtain the following data:
从图中可以看书大约有1/3的公司平均薪水大于整体薪水平均值（19.79），2/3的公司平均薪水低于整体薪水平均值。
上图是薪水排名前三的公司，如极光、京东集团、九章天旋等。其中极光公司的平均薪水高达6w元。
2）工作经验要求
为了分析深圳数据分析岗位对工作经验的要求，创建数据透视表时，首先将“工作经验要求”作为行，“公司名称”作为统计值使用计数函数，进行查看，得到数据透视表和透视图如下：
由上图发现，数据分析职位对应届生需求数量最多为22个，经验不限次之。
2、深圳市数据分析岗位的薪水和工作经验要求有何关系？
由上图知对应届毕业生而言平均薪水较高，可能是企业为了培养储备人才故以较高薪水吸引高层次人才。
3、深圳市从事哪些数据分析岗位最好？
由上图知薪水最高的是数据分析师，平均薪水4w，且数据分析一般都与业务相关联。
4、根据自己的实际情况，哪些公司的数据分析岗位适合自己？
根据自身经验，因此前无数据分析经验，所以需要找不要求经验的公司，可以从数据分析专员/助理开始做起。
最后，此次深圳拉钩网数据分析职位的分析还不够全面，因数据量不够大、个别公司高价招聘等因素影响。
参考文章如下：
1.https://www.zhihu.com/people/mo-ran-ru-chen/posts
2.https://book.douban.com/subject/26616137/