1. Work on excel ,word,PowerPoint, tally,etc.
2. Data entry,data cleaning, data analysis,
3. Split report in excel
4. Mis
5. Pdf to excel
6. Excel to pdf
7. word to pdf
8. Pdf to word 
9. Copy pate
10. Typing 

Speed 30wpm

The data analysts at Data Crunchers work hard to create stories and reports from their clients’ data. Analysts rely heavily on visualization techniques to make the information relevant and actionable. Visualizations are a way to display data in a manner that is easily understood. The most common ways to represent data visually are charts and graphs.  

There are many types of charts used to present information graphically. It is crucial to ensure that the type of visualization used best illustrates the pattern, problem, or trend that needs highlighting; not all types of visualizations are appropriate for all kinds of data.  

Factors to consider when choosing a visualization: 

The number of variables, which are the characteristics measured, that need are shown 

The number of data points, or units of information, in each variable  

Whether the data illustrates changes over time (hourly, daily, weekly)

The need to make a comparison or correlation between different data points 

Often, analysts try a few different types of charts to choose the one that provides the most effective view of the information.