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I do agree with you. There are plenty of statistical tools. Selecting the one among them is not an easy job. While choosing the tool, you should consider your study, data collected and more importantly what exactly you want to find out. I personally use OpenRefine. It cleans the data, transforms it from one format into another, and helps you explore large data sets without any effort.

Hey niranjan. You can either use talend or use splice machine. Talend simplifies big data integration, checks data quality and generates native code using graphical wizard. Whereas deploys faster, reduces management and is portable across AWS and google.

You can use NodeXL. It provides accurate calculation. It includes network metrics, network data importers, and automation. If not seek assistance from statisticians from trusted websites. There are many websites out there. Avail their aid instead of burning your hands with the process.

When comes to data tools, we have a cool and bigger version of Google Spreadsheets. An incredible tool for data analysis, mapping, and large dataset visualization in the form of Google Fusion tables. This is also one of the best Big Data Analytics tools. Among them, OpenRefine, I personally use to cleanse the data, transforms it from one format into another, and it helps you explore large data sets without any effort.You can either use talend or use splice machine. Talend simplifies big data integration, checks data quality and generates native code using a graphical wizard. Whereas It deploys faster, reduces management and is portable across AWS and google. You can use NodeXL. It provides accurate calculation. It includes network metrics, network data importers, and automation. KNIME integrates with several other data science tools including R, Python,Hadoop, and H2O, as well as many structured and unstructured data types. KNIMEsupports leading edge, data science use cases such as social media sentiment analysis, medical claim outline detection, market basket analysis, and text mining.