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analytics-using-r Archives - Petaa Bytes https://www.petaa-bytes.com/category/analytics-using-r/ Wed, 16 Mar 2016 06:58:06 +0000 en-US hourly 1 https://wordpress.org/?v=6.9 https://www.petaa-bytes.com/wp-content/uploads/2018/09/cropped-favicon-32x32.png analytics-using-r Archives - Petaa Bytes https://www.petaa-bytes.com/category/analytics-using-r/ 32 32 INTRODUCTION TO DATA ANALYTICS https://www.petaa-bytes.com/introduction-to-data-analytics/?utm_source=rss&utm_medium=rss&utm_campaign=introduction-to-data-analytics&utm_source=rss&utm_medium=rss&utm_campaign=introduction-to-data-analytics https://www.petaa-bytes.com/introduction-to-data-analytics/#respond Wed, 16 Mar 2016 06:52:52 +0000 http://localhost/pettanew/?p=136 Understand Business Analytics and R Knowledge on the R language community and ecosystem Understand the use of ‘R’ in the industry Compare R with other software in analytics Install R …

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]]> Understand Business Analytics and R
  • Knowledge on the R language
  • community and ecosystem
  • Understand the use of ‘R’ in the industry
  • Compare R with other software in analytics
  • Install R and the packages useful for the course
  • Perform basic operations in R using command line
  • Learn the use of IDE R Studio and Various GUI
  • Use the ‘R help’ feature in R
  • Knowledge about the worldwide R community collaboration

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    ]]>     https://www.petaa-bytes.com/introduction-to-data-analytics/feed/ 0     INTRODUCTION TO R PROGRAMMING https://www.petaa-bytes.com/introduction-to-r-programming/?utm_source=rss&utm_medium=rss&utm_campaign=introduction-to-r-programming&utm_source=rss&utm_medium=rss&utm_campaign=introduction-to-r-programming https://www.petaa-bytes.com/introduction-to-r-programming/#respond Wed, 16 Mar 2016 06:52:20 +0000 http://localhost/pettanew/?p=134 The various kinds of data types in R and its appropriate uses The built-in functions in R like: seq(), cbind (), rbind(), merge() Knowledge on the various Subsetting methods Summarize …

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    ]]>     The various kinds of data types in R and its appropriate uses
  • The built-in functions in R like: seq(), cbind (), rbind(), merge()
  • Knowledge on the various Subsetting methods
  • Summarize data by using functions like: str(), class(), length(), nrow(), ncol()
  • Use of functions like head(), tail(), for inspecting data
  • Indulge in a class activity to summarize data

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    ]]>     https://www.petaa-bytes.com/introduction-to-r-programming/feed/ 0     DATA MANIPULATION IN R https://www.petaa-bytes.com/data-manipulation-in-r/?utm_source=rss&utm_medium=rss&utm_campaign=data-manipulation-in-r&utm_source=rss&utm_medium=rss&utm_campaign=data-manipulation-in-r https://www.petaa-bytes.com/data-manipulation-in-r/#respond Wed, 16 Mar 2016 06:51:55 +0000 http://localhost/pettanew/?p=132 The various steps involved in Data Cleaning Functions used in Data Inspection Tackling the problems faced during Data Cleaning Uses of the functions like grepl(), grep(), sub() Coerce the data …

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    ]]>     The various steps involved in Data Cleaning
  • Functions used in Data Inspection
  • Tackling the problems faced during Data Cleaning
  • Uses of the functions like grepl(), grep(), sub()
  • Coerce the data
  • Uses of the apply() functions

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    ]]>     https://www.petaa-bytes.com/data-manipulation-in-r/feed/ 0     DATA IMPORT TECHNIQUES IN R https://www.petaa-bytes.com/data-import-techniques-in-r/?utm_source=rss&utm_medium=rss&utm_campaign=data-import-techniques-in-r&utm_source=rss&utm_medium=rss&utm_campaign=data-import-techniques-in-r https://www.petaa-bytes.com/data-import-techniques-in-r/#respond Wed, 16 Mar 2016 06:50:42 +0000 http://localhost/pettanew/?p=130 Import data from spreadsheets and text files into R Import data from other statistical formats like sas7bdat and spss Packages installation used for database import Connect to RDBMS from R …

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    ]]>     Import data from spreadsheets and text files into R
  • Import data from other statistical formats like sas7bdat and spss
  • Packages installation used for database import
  • Connect to RDBMS from R using ODBC and basic SQL queries in R
  • Basics of Web Scraping

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    ]]>     https://www.petaa-bytes.com/data-import-techniques-in-r/feed/ 0     EXPLORATORY DATA ANALYSIS https://www.petaa-bytes.com/exploratory-data-analysis/?utm_source=rss&utm_medium=rss&utm_campaign=exploratory-data-analysis&utm_source=rss&utm_medium=rss&utm_campaign=exploratory-data-analysis https://www.petaa-bytes.com/exploratory-data-analysis/#respond Wed, 16 Mar 2016 06:49:56 +0000 http://localhost/pettanew/?p=128 Understanding the Exploratory Data Analysis(EDA) Implementation of EDA on various datasets Boxplots Understanding the cor() in R EDA functions like summarize(), llist() Multiple packages in R for data analysis The …

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    ]]>     Understanding the Exploratory Data Analysis(EDA)
  • Implementation of EDA on various datasets
  • Boxplots
  • Understanding the cor() in R
  • EDA functions like summarize(), llist()
  • Multiple packages in R for data analysis
  • The Fancy plots like Segment plot
  • HC plot in R

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    ]]>     https://www.petaa-bytes.com/exploratory-data-analysis/feed/ 0     DATA VISUALIZATION IN R https://www.petaa-bytes.com/data-visualization-in-r/?utm_source=rss&utm_medium=rss&utm_campaign=data-visualization-in-r&utm_source=rss&utm_medium=rss&utm_campaign=data-visualization-in-r https://www.petaa-bytes.com/data-visualization-in-r/#respond Wed, 16 Mar 2016 06:49:08 +0000 http://localhost/pettanew/?p=126 Understanding on Data Visualization Graphical functions present in R Plot various graphs like tableplot Nhistogram boxplot Customizing Graphical Parameters to improvise the plots Understanding GUIs like Deducer and R Commander …

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    ]]>     Understanding on Data Visualization
  • Graphical functions present in R
  • Plot various graphs like tableplot
  • Nhistogram
  • boxplot
  • Customizing Graphical Parameters to improvise the plots
  • Understanding GUIs like Deducer and R Commander
  • Introduction to Spatial Analysis

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    ]]>     https://www.petaa-bytes.com/data-visualization-in-r/feed/ 0     DATA MINING: CLUSTERING TECHNIQUES https://www.petaa-bytes.com/data-mining-clustering-techniques/?utm_source=rss&utm_medium=rss&utm_campaign=data-mining-clustering-techniques&utm_source=rss&utm_medium=rss&utm_campaign=data-mining-clustering-techniques https://www.petaa-bytes.com/data-mining-clustering-techniques/#respond Wed, 16 Mar 2016 06:48:23 +0000 http://localhost/pettanew/?p=124 Introduction to Data Mining Understanding Machine Learning Supervised and Unsupervised Machine Learning Algorithms K-means Clustering

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    ]]>     Introduction to Data Mining
  • Understanding Machine Learning
  • Supervised and Unsupervised Machine Learning Algorithms
  • K-means Clustering

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    ]]>     https://www.petaa-bytes.com/data-mining-clustering-techniques/feed/ 0     DATA MINING: ASSOCIATION RULE MINING AND SENTIMENT ANALYSIS https://www.petaa-bytes.com/data-mining-association-rule-mining-and-sentiment-analysis/?utm_source=rss&utm_medium=rss&utm_campaign=data-mining-association-rule-mining-and-sentiment-analysis&utm_source=rss&utm_medium=rss&utm_campaign=data-mining-association-rule-mining-and-sentiment-analysis https://www.petaa-bytes.com/data-mining-association-rule-mining-and-sentiment-analysis/#respond Wed, 16 Mar 2016 06:47:50 +0000 http://localhost/pettanew/?p=122 Association Rule Mining Sentiment Analysis

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    ]]>     Association Rule Mining
  • Sentiment Analysis

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    ]]>     https://www.petaa-bytes.com/data-mining-association-rule-mining-and-sentiment-analysis/feed/ 0     LINEAR AND LOGISTIC REGRESSION https://www.petaa-bytes.com/linear-and-logistic-regression/?utm_source=rss&utm_medium=rss&utm_campaign=linear-and-logistic-regression&utm_source=rss&utm_medium=rss&utm_campaign=linear-and-logistic-regression https://www.petaa-bytes.com/linear-and-logistic-regression/#respond Wed, 16 Mar 2016 06:47:07 +0000 http://localhost/pettanew/?p=120 Linear Regression Logistic Regression

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    ]]>     Linear Regression
  • Logistic Regression

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    ]]>     https://www.petaa-bytes.com/linear-and-logistic-regression/feed/ 0     ANOVA AND PREDICTIVE ANALYSIS https://www.petaa-bytes.com/anova-and-predictive-analysis/?utm_source=rss&utm_medium=rss&utm_campaign=anova-and-predictive-analysis&utm_source=rss&utm_medium=rss&utm_campaign=anova-and-predictive-analysis https://www.petaa-bytes.com/anova-and-predictive-analysis/#respond Wed, 16 Mar 2016 06:46:15 +0000 http://localhost/pettanew/?p=118 Anova Predictive Analysis

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    ]]>     Anova
  • Predictive Analysis

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    ]]>     https://www.petaa-bytes.com/anova-and-predictive-analysis/feed/ 0     DATA MINING: DECISION TREES AND RANDOM FOREST https://www.petaa-bytes.com/data-mining-decision-trees-and-random-forest/?utm_source=rss&utm_medium=rss&utm_campaign=data-mining-decision-trees-and-random-forest&utm_source=rss&utm_medium=rss&utm_campaign=data-mining-decision-trees-and-random-forest https://www.petaa-bytes.com/data-mining-decision-trees-and-random-forest/#respond Wed, 16 Mar 2016 06:45:29 +0000 http://localhost/pettanew/?p=116 Decision Trees Algorithm for creating Decision Trees Greedy Approach: Entropy and Information Gain Creating a Perfect Decision Tree Classification Rules for Decision Trees Concepts of Random Forest Working of Random …

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    ]]>     Decision Trees
  • Algorithm for creating Decision Trees
  • Greedy Approach: Entropy and Information Gain
  • Creating a Perfect Decision Tree
  • Classification Rules for Decision Trees
  • Concepts of Random Forest
  • Working of Random Forest
  • Features of Random Forest

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    ]]>     https://www.petaa-bytes.com/data-mining-decision-trees-and-random-forest/feed/ 0     PREPARING REPORTS REPORTS https://www.petaa-bytes.com/preparing-reports-reports/?utm_source=rss&utm_medium=rss&utm_campaign=preparing-reports-reports&utm_source=rss&utm_medium=rss&utm_campaign=preparing-reports-reports https://www.petaa-bytes.com/preparing-reports-reports/#respond Wed, 16 Mar 2016 06:42:38 +0000 http://localhost/pettanew/?p=113 Creating an application using Shiny Accessing R objects through Shiny interface

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    ]]>     Creating an application using Shiny
  • Accessing R objects through Shiny interface

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