They deliver precise outcomes. Data engineers, whose role it is to assist in the preparation of data sets for analysis, are frequently included in analytics teams in addition to data scientists and other data analysts. Continue reading The Most Popular API For Data Engineers In 2023, we will tell you about Site Traffic API, a tool that will allow you to obtain all the necessary data.
In other cases, the collection process may consist of extracting a relevant subset of a data stream flowing into, for example, Hadoop. This data is then moved to a separate partition on the system so that it can be analyzed without affecting the overall data set.
Once the necessary data is on your site, the next step is to find and fix data quality issues that could affect the accuracy of your analytics applications. This includes running data profiling and cleaning tasks to ensure that the information in a data set is consistent and that errors and duplicate entries are removed. Additional data preparation work is then done to manipulate and organize the data for its intended analytical use. Data governance policies are then applied to ensure that the data conforms to corporate standards and is used correctly.
Data scientist builds an
From here, a data scientist builds an analytical model, using predictive modeling tools or other analytics software, with languages like Python, Scala, R, and SQL. The model is initially run with a partial data set to check its accuracy. Normally, it is reviewed and retested. This process is known as “training” the model until it works as intended. Finally, the model is run in production mode with the full data set, something that can be done once to address a specific information need, or continuously as the data is updated.
In some cases, analytics applications can be configured to automatically trigger business actions. For example, the stock operations of a financial services company. On the other hand, the last step in the data analysis process is the communication of the results generated by the analytical models to company executives and other end users. Charts and other infographics can be designed to make the results easier to understand. Data visualizations are often embedded in BI dashboard applications that display data on a single screen and can be updated in real time as new information becomes available.
Site Traffic API
So, with Site Traffic API you will be able to consult from where the site receives its traffic. It means you can check where the visitors are (per country); how many monthly visits they receive, and traffic sources (direct, social media, emails, etc). This API will allow you to order your database by the conditions you decide. Do you want to know which URLs receive the most traffic? Or do you want to know the pages that have the highest bounce rate? What are the URLs that make your users stay longer?
Thus, you can use this API to measure the performance of your own page. You can see the behavior of users and make decisions based on the metrics received. Retrieve Search Engines Rankings and Pages’ net worth as well.
What your API receives and what your API provides (input/output)?
Only pass the URL or domain you want to consult. And you will get traffic per country, monthly visits; engagement metrics such as average visit duration, bounce rate, pages per visit, and traffic sources. They are receiving their users from web searches? Do they receive the most traffic through paid advertising? This API will let you know that. Check Where Are Located The Users Per Country Through This API
Want to learn more about Site Traffic API?
For additional information on how to take advantage of the Site Traffic API, go to the FAQ on Site Traffic or check to Use This Site Traffic API To Measure The Performance Of Your Site
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Also published on Medium.