This folder contains the needed steps and sample files to build an expert system using CLIPS: 1.File "00 Using CLIPS and WEKA to build Expert Systems.pdf": is the handout explaining: a) the most important CLIPS commands. b) links to learn and download CLIPS. c) links to donwload WEKA. 2. The Folder also contains sample files: a) "01 sick123.arff": Sample data. b) "02 Tree.jpg": Decision tree produced by WEKA c) "03 Final_Rules".clp: Sample CLIPS code
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- Use the data file “marketing_campaign.csv” for this problem. Note: There are rows at the top of the file that must be skipped. a. Read the data into R and create a subset consisting of the following columns: Education, Marital_Status, Income, Dt_Customer, MntFruits, and Complain. b. Convert the data a type of the following columns: Education Ordered factor (Hint: Level of “2n Cycle” is between Graduation and Master Marital_Status Unordered factor Income Double precision numeric Complain Logical c. Convert the data type of Dt_Customer to Date. d. With proper code check the data types of columns are as stated in (b) and (c).In R please provide the code for the following steps (B iv,v,vi C i,ii,iii,iv)a. Load the coagulation data set (it is from the faraway library)b. Data Summaries & Assumption Checki. Use the names() function to identify the column namesii. How many rows of data are there?iii. Create a single graph with 4 boxplots on the same scale, one for the coagulationfor each of the diets. Each boxplot should be a different color.Note: you can use the plot function for this taskplot(colNameData~colNameCategory, data = dataset, col = color#1:color#2)colNameData is the name of the column in the data set that you want to createa boxplot forcolNameCategory is the name of the column that you want to use to split thedata into groups (so you want one boxplot for each category/value in thiscolumn)dataset is the name of the full datasetcol=2:4 will give you 3 different colors (color indices are 1-8, then they repeat)iv. Create 4 different data frames, one for the data corresponding to each of the…16-7. Automated Title: In eq_world_map_3.py, we specified the title manually when defining my_layout, which means we have to remember to update the title every time the source file changes. Instead, you can use the title for the data set in the metadata part of the JSON file. Pull this value, assign it to a variable, and use this for the title of the map when you’re defining my_layout.
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