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Mission 11 - Core Analytics

Estimated time for completing this mission: 10 mins

Learning Objective

Learning a simple way to get statistical data from a numerical column.

Scenario

Definitely you had to calculate things like mean, median or variance many times. That is also within the range of LOGIBLOX possibilities. It is really easy. Just provide the appropriate BLOX with numerical column, and the result will be displayed inside the corresponding BLOX!

BLOX used in this mission

  • Basics/Start
  • MyData/data_with_suppliers.xlsx
  • Statistic/Mean
  • Statistic/Median
  • Statistic/Standard Deviation (Own Mission)
  • Statistic/Variance
  • Statistic/Quantile (Own Mission)

startBlox

BLOX used in this mission

Data

In this mission we will use the prepared dataset from the previous section.

If you have not created it, here is a link for the dataset data_with_suppliers.xlsx

Steps

Please refer to the Navigation Guide to perform the steps below

  1. In the Flow Builder, drag-and-drop all the necessary BLOX listed above
  2. Connect the "Start" BLOX to the "MyData" BLOX
  3. Connect the output from the "MyData" BLOX to all of the remaining statistics BLOX (select "Amount" column)
  4. In the settings of all statistics BLOX, select the numerical column name "Amount"
  5. Press the play button and wait for the green ticks to appear on the BLOX
  6. To see the results, double click each statistics BLOX

Tip

For more advanced users it is possible to check if the normality assumptions hold for a certain dataset! As a challenge, try to figure out which BLOX it could be and apply it.

Hint It is the "Distribution" function from the Statistics tab. Connect a column which you would like to check the normality assumption on. Explore all three result tabs!
Final logic of statistics BLOX

Results and Summary​

Now you will be provided with all the statistical information about the numerical column you have provided. ​

Image title

Final logic of statistics BLOX

Well done! You have completed Module 3: Foundational Data Science + Analytics.