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Parameters In Data Analytics

Data analytics parameters refer to the specific characteristics or properties of a dataset that are used to analyze and extract meaningful insights from the data. Parameters play a crucial role in data analysis as they provide meaningful information that aids in understanding the data, drawing conclusions, and making informed decisions. - Data Analytics Training

These parameters can include various aspects such as:

1.Descriptive Statistics: Parameters that provide a summary of the dataset, including measures such as mean, median, mode, standard deviation, and variance.

2.Correlation: Parameters that measure the strength and direction of the relationship between different variables in the dataset.

Common correlation parameters include Pearson's correlation coefficient and Spearman's rank correlation coefficient. - Data Analytics Course in Hyderabad

3.Distributions: Parameters that describe the probability distribution of a variable in the dataset, such as normal distribution, uniform distribution, or exponential distribution.

4.Outliers: Parameters that identify data points that deviate significantly from the normal patterns or distribution in the dataset.

Outliers can be detected using various statistical techniques such as z-score, Tukey's fences, or machine learning algorithms.

5.Missing Values: Parameters that quantify the presence of missing values within the dataset. This can be measured by calculating the percentage or count of missing values in each variable. - Data Analytics Online Training Institute

6.Data Quality: Parameters that assess the overall quality and reliability of the dataset, including parameters such as data completeness, consistency, accuracy, and timeliness.

7.Data Preprocessing: Parameters that define the steps and techniques used to clean, transform, and normalize the dataset before conducting further analysis.

This can include parameters such as data normalization, feature scaling, imputation of missing values, and handling of outliers.

These are just a few examples of the parameters used in data analytics. The specific parameters chosen for analysis depend on the goals, nature of the dataset, and the type of analysis being conducted. - Data Analytics Course

 

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