List of best tools that can be useful for data analysis?

[armdrejoan]

Below are the best data analysis tools.

Living picture
RapidMiner
OpenRefine
KNIME
Google Search Operators
solver
nodeXL
io
Wolfram Alpha
Google Fusion Spreadsheets
8) State the difference between data mining and data profiling?
The difference between data mining and data profiling is that

Data Profiling: It aims to analyze instances of individual attributes. It provides information about various attributes such as range of values, discrete values ​​and their frequency, occurrence of null values, data type, length, etc.

Data Mining: It focuses on cluster analysis, finding unusual records, dependencies, finding sequences, maintaining relationships between multiple attributes, etc.

ID-100353945

9) List some common problems faced by a data analyst?
Some of the common challenges faced by data analysts are:

Common typo
Duplicate entries
Missing values
Invalid values
Different representations of values
Identifying overlapping data
10) What is the name of the framework developed by Apache to handle large data sets for an application in a distributed computing environment?
Hadoop MapReduce is a programming framework brazil consumer mobile number list developed by Apache for processing large data sets for an application in a distributed computing environment.

11) Indicate what patterns are usually observed?
Usually, missing patterns are observed:

Disappeared completely by accident
Disappeared by accident
Missing, which depends on the missing value itself.
Missing, which depends on an unobserved input variable.
12) Explain what is KNN imputation method?
In KNN imputation, missing attribute values ​​are imputed using the attribute values ​​that are most similar to the attribute whose values ​​are missing. A distance function is used to determine the similarity of two attributes.