For Data Science Learners
Filtering for Unique Values in R, Using the dplyr package in R, you may filter for unique values in a data frame using the following methods. Method 1: In one column, filter for unique values. df %>% distinct(var1) Method 2: Filtering for Unique Values in Multiple Columns df %>% distinct(var1, var2) Method 3: In all…
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Data Science Strategies for Improving Customer Experience in R, Customer experience plays a crucial role in the success of any business. In today’s data-driven age, companies have access to vast amounts of customer data that can be used to improve the customer experience. In this article, we will explore data science strategies for improving customer…
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Aggregate daily data to monthly and yearly in R, Data aggregation is an important step in data analysis that involves summarizing data in a coarser temporal resolution for ease of analysis and visualization. For example, daily data can be aggregated into monthly or yearly data, allowing for better identification of trends and patterns. In this…
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Predict potential customers in R, Finding variables that can be utilized to determine whether a potential customer is a high earner may be of interest to a marketing analyst. Information from the 1994 United States Census, which includes records from 32561 adults and a binary variable indicating whether each person makes more than $50000 or…
Dynamic data visualizations in R, Plot.ly specializes in dynamic data visualizations online and has a particular aptitude for translating R, Python, and other data processing tools’ code to produce data graphics. The plotly.js javascript library, which is open source and used in this project, is the foundation for it. The plotly package in R provides…
Is R or Python Better for Data Science in Bangalore? This, a question that every person who wants to pursue a career in data science has in mind, regardless of how much or little experience they have in the subject. Ever since the demand for data science professionals in every industry has skyrocketed, the topic…
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Load Multiple Packages in R, The following example demonstrates how to apply this syntax in practice. Load Multiple Packages in R Loading Multiple Packages in R as an Example The code below demonstrates how to summarise a dataset in R and plot it using three different packages: Dplyr, ggplot2, and ggthemes In this example, we…
How to Calculate Ratios in R? The following two techniques can be used in R to determine the ratio of values in two columns. The following data frame, which displays the total number of shots taken and attempted by different basketball players, is used to demonstrate how each strategy should be used in practice. Two-Way ANOVA…
How to create Anatogram plot in R, Anatograms can be produced using the same-named package function. Keep in mind that you can design your own data frame. Man Pass the data frame to the function with the parameters and construct the anatogram of a guy. Please take note that we utilized to keep dimensions and…
How to create a Sankey plot in R?, You must install the ggsankey library and modify your dataset using the package’s make_long function in order to produce a Sankey diagram in ggplot2. The data’s columns must correspond to the stages x (current stage), next_x (next stage), node (current node), and next_node (the following node). Keep…
