Templates
Boost your programming skills with free Python, SQL, R, and Excel templates and create top-notch projects for your portfolio.Save hours of browsing through the Internet and accelerate your workflow with code-ready templates for your programming projects. Personally crafted by 365 Data Science instructors, these templates bring a surprising efficiency level to your work process.
Export Data as csv in R Template
The Export Data as csv in R template shows how to export a data set from R and save it as an csv file. The file in question contains an employee database. Some other related topics you might be interested in are Calculating Standard Deviation in R, Calculating Data Mean in R, Calculating Standard Deviation of Data in R, Exploring Data Skewness in R. You can now download the R template for free. Export Data as csv in R template is among the topics covered in detail in the 365 Data Science program.
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Adding a New Column to a Data Frame in R Template
The Adding a New Column to a Data Frame in R template shows how to create a dataframe in R and add additional columns to it. We create a Star Wars data frame containing movies and stats and include two additional columns to extend the dataframe. Some other related topics you might be interested are Adding a New Row to a Data Frame in R, Dealing with Missing Data in R, Read a csv File into R, Export Data as csv in R. You can now download the R template for free. Adding a New Column to a Data Frame in R template is among the topics covered in detail in the 365 Data Science program.
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Adding a New Row to a Data Frame in R Template
The Adding a New Row to a Data Frame in R template shows how to add a row in an R data frame. The file shows how to create a data frame object in R from scratch, containing information and stats about movies and then shows how to extend the data frame by adding new columns. Some other related topics you might be interested are Adding a New Column to a Data Frame in R, Dealing with Missing Data in R, Read a csv File into R, Export Data as csv in R. You can now download the R template for free. Adding a New Row to a Data Frame in R template is among the topics covered in detail in the 365 Data Science program.
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Read a csv File in R Template
The Read a csv File in R template shows how to import a csv file into R with the help of the read csv() function. The file in question contains a real estate data set detailing information on different properties. Some other related topics you might be interested are Scatter plot with ggplot2 in R, Regression Scatter with ggplot2 in R, and Correlation between Two Variables in R. You can now download the R template for free. The Read a csv File in R template is among the topics covered in detail in the 365 Data Science program.
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Linear Regression in R Template
The Linear Regression in R template shows how to perform a linear regression in R using lm() on real estate property data. Some other related topics you might be interested are Scatter plot with ggplot2 in R, Regression Scatter with ggplot2 in R, and Correlation between Two Variables in R. You can now download the R template for free. Linear Regression in R template is among the topics covered in detail in the 365 Data Science program.
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Correlation between Two Variables in R Template
The Correlation between Two Variables in R template shows how to calculate the correlation coefficient between two variables in a dataset with the help of the corr() function. Some other related topics you might be interested in checking are Calculating Data Variance in R, Calculating Data Mean in R, Calculating Standard Deviation of Data in R, and Exploring Data Skewness in R. You can now download the R template for free. Correlation between Two Variables in R is among the topics covered in detail in the 365 Data Science program.
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While Loops in R Template
The While Loops in R shows how to create a while loop which sums up the numbers from 1 to n. A while loop operates as long as, or while its condition evaluates to TRUE. In contrast to a for loop which iterates over a sequence of number, the while loop evaluates whether a condition holds or not. Some other related topics you might be interested in exploring are For Loops in R and If Else Else If Statements in R. You can now download the R template for free. Calculating Data Variance in R is among the topics covered in detail in the 365 Data Science program.
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Calculating Data Variance in R Template
The Calculating Data variance in R shows how variance measures the dispersion of a set of data points around their mean value. Some other related topics you might be interested are Calculating Standard Deviation in R, Calculating Data Mean in R, Calculating Standard Deviation of Data in R, Exploring Data Skewness in R You can now download the R template for free. Calculating Data Variance in R is among the topics covered in detail in the 365 Data Science program.
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If Else Else If Statements in R Template
The If Else Else IF Statements in R template shows whether a certain condition is met and can perform distinct actions provided the condition is met, and provided it is not. Some other related topics you might be interested in exploring are While loops in R and For Loops in R You can now download the R template for free. If Else Else If Statements in R is among the topics covered in detail in the 365 Data Science program.
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Scatter Plot with ggplot2 in R Template
The Scatter Plot with ggplot2 in R includes a color scheme from the Wes Anderson movie palette. The chart displays the relationship between the price and area of houses from a property data set. A scatter plot is one of the most widely used charts in statistics and data analytics. It shows a collection of data points across two axes, signifying two categories of the data we wish to compare. Some other related topics you might be interested are Bar chart with ggplot2 in R, Histogram with ggplot2 in R, Regression Scatter Plot with ggplot2 in R, and Line Chart with ggplot2 in R. You can now download the R template for free.
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Exploring Data Skewness in R Template
The Exploring Data Skewness in R template shows whether the observations in a data set are concentrated on one side. Here you can see examples of three different data skews implemented in R - right skewness, zero skewness and left skewness. Some other related topics you might be interested in exploring are Calculating Data Variance in R, Calculating Data Median in R, Calculating Standard Deviation of data in R. You can now download the R template for free. Calculating Data Median in R is among the topics covered in detail in the 365 Data Science program.
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Calculating Data Median in R Template
The following Calculating Data Median in R template shows the mean, also known as the simple average. We can find the mean of a data set by adding up all of its components and then dividing them by the number of components contained in the data set. Some other related topics you might be interested in exploring are Calculating Data Variance in R, Calculating Data Median in R, Calculating Standard Deviation of Data in R and Exploring Data Skewness in R. You can now download the R template for free. Calculating Data Median in R is among the topics covered in detail in the 365 Data Science program.
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Stacked Area Chart with ggplot2 in R Template
The following Stacked Area Chart with ggplot2 in R template shows the popularity of different engine types in automobiles across several decades. An area chart is used when we are interested in tracking and comparing the volume of a few variables over time. In a stacked area chart each category is ‘stacked’ or ‘placed’ on top of the previous and there is no overlap among categories. Some other related topics you might be interested in exploring are Line Chart with ggplot2 in R, Bar Chart with ggplot2 in R, Pie Chart with ggplot2 in R and Scatter Plot with ggpot2 in R. You can now download the R template for free. Stacked Area Chart with ggplot2 in R is among the topics covered in detail in the 365 Data Science program.
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For Loops in R Template
The following For Loops in R shows how to calculate the sum of the numbers from 1 to 10 using a for loop. For loops are one of the most commonly used tools by any programmer and they are used when we want to repeat an action in the loop for a certain number of times. Some other related topics you might be interested in exploring are While Loops in R and If Else Else If statements .
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Creating a Data Frame Object in R Template
The following Creating a Data Frame Object in R template shows you how to create a data frame in R from scratch and populate with different values. The example shows a car data frame, containing 5 columns, 3 of which are numeric and 2 of which are strings. You can use this template to create and fill out your own data frame. Some other related topics you might be interested to explore are Calculating Data Variance in R, Calculating Data Mean in R, Calculating Standard Deviation of Data in R, Exploring Data Skewness in R. You can now download the R template for free. Creating a Data Frame Object in R is among the topics covered in detail in the 365 Data Science program.
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Dealing with Missing Data in R Template
This Dealing with Missing Data in R template shows you how to check for missing values in a dataset and count them. It also provides two ways of dealing with missing values in a dataset - either by substituting the missing values with the average, or by removing the entries which have missing values in them. Some other related topics you might be interested to explore are correlation between two variables in R, export data as csv in R, calculating data median in R, calculating data mean in R, and calculating standard deviation of data in R. You can now download the R template for free. Dealing with missing data in R is among the topics covered in detail in the 365 Data Science e-learning program.
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Calculating Standard Deviation of Data in R Template
This free .r template will show you how to calculate the standard deviation of data using the R programming language. The standard deviation is obtained by taking the square root of the variance of the data. It is used in many statistical analyses, whenever we have numerical data and is a measure of data dispersion. The standard deviation shows how closely data sits around the mean – a small value shows data, which is densely populated around the mean, a large standard deviation signifies data which is more dispersed.
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Box and Whiskers Chart with ggplot2 in R
A box and whiskers chart graphically represents the distribution of data through their quartiles. It is often used in financial settings when analyzing the market volatility and can reveal the skewness of data or potential outliers. Тhis free .r template goes over the Titanic’s data set using the ggplot2 library in R, revealing interesting insights about e the survival rate based on age and sex. By following the outlined steps in this R template, you will learn how to convey the information professionally using the ggplot2 functionalities.
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Histogram with ggplot2 in R Template
The histogram is a popular graph for visually representing the data distribution of a feature. This is a free .r histogram template showing the distribution of house prices implemented in R using ggplot2. You will be taught how to build the first three layers of a ggplot- defining the data, aesthetics, and geometry, and set bin parameters You finish by adding a title, changing the background theme and visually tweaking the aesthetics of your histogram.
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Obtaining Descriptive Statistics about the Data in Python
The following template demonstrates how to obtain an overview about the dataset. It shows the application of the .describe() method on a pandas Series object. Some other related topics you might be interested in are Delivering an Array with the Unique Values from a Dataset in Python, Converting Series into Arrays in Python, Ordering the Rows from a Data Table According to the Values in a Column in Python, Data Selection in Python, and Common Attributes for Working with DataFrames in Python. The Obtaining Descriptive Statistics about the Data in Python template is among the topics covered in detail in the 365 Program.
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Data Science Shortcuts Cheat Sheet
Discover how to boost your productivity using this data science shortcuts cheat sheet with over 2,000 workarounds in Python IDEs, such as Jupyter, Spyder Rodeo, PyCharm, and Atom, compatible with various operating systems. Amplify your proficiency in R with R Studio shortcuts, streamline MATLAB operations, and manage databases efficiently with SQL shortcuts. Enhance data visualization in Tableau, easily manage Excel spreadsheets, and conduct statistical analyses seamlessly in SPSS and SAS. This data science shortcuts cheat sheet lets you speed up your everyday tasks while achieving your goals.
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Common Attributes for Working with DataFrames in Python
The following template demonstrates the application of important pandas attributes when cleaning, preprocessing, and analyzing a dataset. Some other related topics you might be interested in are Data Selection in Python, Indexing with.iloc[] and .loc[] in Python, Delivering an Array with the Unique Values from a Dataset in Python, Converting Series into Arrays in Python, and Using Pandas Methods for Working with Series Objects in Python. The Common Attributes for Working with DataFrames in Python template is among the topics covered in detail in the 365 Program.
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Normal Distribution in Excel Template
This Normal Distribution in Excel template demonstrates that the sum of 2 randomly thrown dice is normally distributed. Open the .xlsx file with Microsoft Excel. Study the structure of the file and experiment with different values. Some other related topics you might be interested to explore are Positive Skew in Excel, Zero Skew in Excel, Negative Skew in Excel, Uniform Distribution in Excel, Standard Normal Distribution in Excel You can now download the Excel template for free. Normal Distribution in Excel is among the topics covered in detail in the 365 Data Science program
Learn MoreMost Popular Templates
Check out our most helpful downloadable resources according to 365 Data Science students and our expert team of instructors.
Obtaining Descriptive Statistics about the Data in Python
The following template demonstrates how to obtain an overview about the dataset. It shows the application of the .describe() method on a pandas Series object. Some other related topics you might be interested in are Delivering an Array with the Unique Values from a Dataset in Python, Converting Series into Arrays in Python, Ordering the Rows from a Data Table According to the Values in a Column in Python, Data Selection in Python, and Common Attributes for Working with DataFrames in Python. The Obtaining Descriptive Statistics about the Data in Python template is among the topics covered in detail in the 365 Program.
Learn MoreData Science Shortcuts Cheat Sheet
Discover how to boost your productivity using this data science shortcuts cheat sheet with over 2,000 workarounds in Python IDEs, such as Jupyter, Spyder Rodeo, PyCharm, and Atom, compatible with various operating systems. Amplify your proficiency in R with R Studio shortcuts, streamline MATLAB operations, and manage databases efficiently with SQL shortcuts. Enhance data visualization in Tableau, easily manage Excel spreadsheets, and conduct statistical analyses seamlessly in SPSS and SAS. This data science shortcuts cheat sheet lets you speed up your everyday tasks while achieving your goals.
Learn MoreCommon Attributes for Working with DataFrames in Python
The following template demonstrates the application of important pandas attributes when cleaning, preprocessing, and analyzing a dataset. Some other related topics you might be interested in are Data Selection in Python, Indexing with.iloc[] and .loc[] in Python, Delivering an Array with the Unique Values from a Dataset in Python, Converting Series into Arrays in Python, and Using Pandas Methods for Working with Series Objects in Python. The Common Attributes for Working with DataFrames in Python template is among the topics covered in detail in the 365 Program.
Learn MoreNormal Distribution in Excel Template
This Normal Distribution in Excel template demonstrates that the sum of 2 randomly thrown dice is normally distributed. Open the .xlsx file with Microsoft Excel. Study the structure of the file and experiment with different values. Some other related topics you might be interested to explore are Positive Skew in Excel, Zero Skew in Excel, Negative Skew in Excel, Uniform Distribution in Excel, Standard Normal Distribution in Excel You can now download the Excel template for free. Normal Distribution in Excel is among the topics covered in detail in the 365 Data Science program
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