November 2017
Beginner
316 pages
6h 40m
English
We have studied what DataFrames are and how they can be created in the previous topics. DataFrames can hold extra information about data and hence they prove to be very efficient while describing a data set:
julia> dframe = DataFrame(Subjects = ["Maths","Physics","Chemistry"],Marks = [90,85,95]) 3×2 DataFrames.DataFrame │ Row │ Subjects │ Marks │ ├─────┼─────────────┼───────┤ │ 1 │ "Maths" │ 90 │ │ 2 │ "Physics" │ 85 │ │ 3 │ "Chemistry" │ 95 │ julia> describe(dframe) Subjects Summary Stats: Length: 3 Type: String Number Unique: 3 Number Missing: 0 % Missing: 0.000000 Marks Summary Stats: Mean: 90.000000 Minimum: 85.000000 1st Quartile: 87.500000 Median: 90.000000 3rd Quartile: 92.500000 Maximum: 95.000000 ...
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