Descriptive statistics is all about describing you data. To do this we firstly describe the spread of the data using the range and interquartile range. Then we might look at the central tendency of the data using the mean, median and mode. We might also describe the variability using the standard deviation and variance. And of course we want to visualise the data using graphs and plots. Selecting the right plot and graph might seem difficult but it is really quite easy when you think about the two most important types of variables. Categorical variables and numeric variables. A single categorical variable is usually represented with a bar chart or bar plot. A single numerical variable is visualised with a histogram or box plot (or boxplot). For two numerics we use a scatter plot and and so on. This video will talk you through all of the combinations of variables, and how to create graphics that really talk to your audience. If you're interested in data science and quantitative analysis, then this video is for you. If you are a beginner and want to learn about statistics and how to work with data, then you'll love this video. This video is good for those learning data science but also anyone wanting to learn about research methods for a masters degree of a PHD. Research methodology can be difficult but this video will make it easy.
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