R Programming - Project based

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ASO Keyword Dashboard

Tracking 115 keywords for R Programming - Project based in Google Play

Developer: Krisht Tech. Category: education

R Programming - Project based tracks 115 keywords (no keywords rank yet; 115 need traction). Key metrics: opportunity 70.9, difficulty 44.5.

You will learn R Programming easy way to start

Tracked keywords

115

0  ranked •  115  not ranking yet

Top 10 coverage

Best rank — • Latest leader —

Avg opportunity

70.9

Top keyword: normal

Avg difficulty

44.5

Lower scores indicate easier wins

Opportunity leaders

  • normal

    Opportunity: 75.0 • Difficulty: 41.6 • Rank —

    Competitors: 624

    63.7
  • square

    Opportunity: 75.0 • Difficulty: 41.6 • Rank —

    Competitors: 520

    63.7
  • accessing

    Opportunity: 74.0 • Difficulty: 40.2 • Rank —

    Competitors: 347

    63.6
  • organizing

    Opportunity: 74.0 • Difficulty: 46.8 • Rank —

    Competitors: 323

    62.5
  • objects

    Opportunity: 74.0 • Difficulty: 51.4 • Rank —

    Competitors: 1,083

    65.6

Unranked opportunities

  • normal

    Opportunity: 75.0 • Difficulty: 41.6 • Competitors: 624

  • square

    Opportunity: 75.0 • Difficulty: 41.6 • Competitors: 520

  • accessing

    Opportunity: 74.0 • Difficulty: 40.2 • Competitors: 347

  • organizing

    Opportunity: 74.0 • Difficulty: 46.8 • Competitors: 323

  • objects

    Opportunity: 74.0 • Difficulty: 51.4 • Competitors: 1,083

High competition keywords

  • time

    Total apps: 385,850 • Major competitors: 16,372

    Latest rank: — • Difficulty: 58.7

  • easy

    Total apps: 328,697 • Major competitors: 14,659

    Latest rank: — • Difficulty: 57.3

  • help

    Total apps: 280,962 • Major competitors: 14,384

    Latest rank: — • Difficulty: 59.8

  • simple

    Total apps: 254,597 • Major competitors: 11,043

    Latest rank: — • Difficulty: 55.8

  • features

    Total apps: 252,920 • Major competitors: 13,776

    Latest rank: — • Difficulty: 59.3

All tracked keywords

Includes opportunity, difficulty, rankings and competitor benchmarks

Major Competitors
top681005879

88,314 competing apps

Median installs: 2,789

Avg rating: 2.1

5,845

major competitor apps

level681005580

108,633 competing apps

Median installs: 1,962

Avg rating: 2.0

6,418

major competitor apps

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679 competing apps

Median installs: 3,353

Avg rating: 2.2

26

major competitor apps

software711004972

31,439 competing apps

Median installs: 1,387

Avg rating: 1.8

1,036

major competitor apps

easy651005788

328,697 competing apps

Median installs: 1,993

Avg rating: 1.9

14,659

major competitor apps

environment711004772

31,765 competing apps

Median installs: 1,782

Avg rating: 1.9

1,906

major competitor apps

language691005476

61,785 competing apps

Median installs: 2,244

Avg rating: 1.9

2,468

major competitor apps

learn671005682

143,086 competing apps

Median installs: 1,947

Avg rating: 1.9

6,603

major competitor apps

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205,299 competing apps

Median installs: 1,662

Avg rating: 2.0

10,422

major competitor apps

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42,825 competing apps

Median installs: 1,463

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1,673

major competitor apps

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41,636 competing apps

Median installs: 650

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1,319

major competitor apps

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32,101 competing apps

Median installs: 2,143

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1,302

major competitor apps

time641005989

385,850 competing apps

Median installs: 1,264

Avg rating: 1.9

16,372

major competitor apps

provide671005282

137,173 competing apps

Median installs: 1,374

Avg rating: 1.8

4,451

major competitor apps

program701004674

43,195 competing apps

Median installs: 1,483

Avg rating: 1.8

1,234

major competitor apps

basic711004973

38,072 competing apps

Median installs: 2,675

Avg rating: 1.9

1,720

major competitor apps

help651006087

280,962 competing apps

Median installs: 1,692

Avg rating: 2.0

14,384

major competitor apps

multiple671005681

129,574 competing apps

Median installs: 2,394

Avg rating: 2.0

8,197

major competitor apps

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9,793 competing apps

Median installs: 1,694

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347

major competitor apps

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58,944 competing apps

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2,542

major competitor apps

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51,337 competing apps

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1,866

major competitor apps

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57,274 competing apps

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2,707

major competitor apps

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96,461 competing apps

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4,877

major competitor apps

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37,617 competing apps

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1,137

major competitor apps

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32,990 competing apps

Median installs: 758

Avg rating: 1.5

404

major competitor apps

115 keywords
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App Description

You will learn R Programming easy way to start

You will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.

This App is covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.

That’s the power of the R programming, it is simple enough to learn as you go. All you need is data and a clear intent to draw a conclusion based on analysis on that data.

In fact, R is built on top of the language S programming that was originally intended as a programming language that would help the student learn to program while playing around with data.

R Programming - Project based Tutorials Point Application Include Topics :-

R Programming Basic Tutorials -
- Installation of R
- R Studio IDE
- R Advantages and Disadvantages
- R Packages
- Keywords in R Programming
- Operators in R
- R Functions
- Strings in R
- R Classes and Objects and more

R Statements and R Loops -
- R if Statement
- If-else statement
- R else if statement
- R Switch Statement
- R next Statement
- R Break Statement
- R For Loop
- R repeat loop
- R while loop and more

Data Structures in R -
- R Vector
- R Lists
- R Arrays
- R Matrix
- R Data Frame
- R factors and more

Data Interfaces and Data Visualization
- R CSV Files
- R Excel file
- R Binary File
- R JSON File
- R XML File
- R Database
- R Data Visualization
- R Pie Charts
- R Bar Charts
- R Box plot
- R Histogram
- R Line Graphs and more

R Regression -
- Linear Regression
- R-Multiple Linear Regression
- R Logistic Regression
- R Poisson Regression and more

R Statistics -
- R Normal Distribution
- Binomial Distribution
- R Classification
- R-Time Series Analysis
- R-Random Forest
- T-Test in R
- Chi-Square Test
- R v/s Python and more

R Practice Programs -
R Interview Questions and answer -

App Features :-

its completely Free.
Easy To Understand.
Very Small Size App.