[Solved]-Uiiy Y Y Matplotlib Plot Lorenz Curve Population Data Curve Shall Normalized 00 10 Program Q37282919
UIIY y y and matplotlib, plot the Lorenz curve for the population data. The curve shall be normalized 0.0 to 1.0. The program shall not use any loops or non-array arithmetic operations. Make sure the plot has the axes labels and a title. The program shall save the plot as population-lorenz Deliverables: a complete Python program that reads the data from pop2010.npy (located in the same folder as the pro .png with the re all without any human interaction. Clustering Attached Files: km4.png (20.179 KB) Perform the clustering analysis of the data on CMPSC-131 st You script shall: 1. Normalize each column by dividing it by the maximum number 2. Calculate the mean of all “Q and “A” columns (call the new column “Assignments’) 3. Partition the rows into seven clusters, based only on the values of Final” and Assignments 4. Scatter plot the original scores in the “Final’ and “Assignments” coordinates 5. In the same chart, scatter plot the cluster centroids using a different marker style The chart must have X and Y axes labels. Save it as a PNG file. A sample output (for 4 clusters) is attached. A cs1-scores.txt Show transcribed image text UIIY y y and matplotlib, plot the Lorenz curve for the population data. The curve shall be normalized 0.0 to 1.0. The program shall not use any loops or non-array arithmetic operations. Make sure the plot has the axes labels and a title. The program shall save the plot as population-lorenz Deliverables: a complete Python program that reads the data from pop2010.npy (located in the same folder as the pro .png with the re all without any human interaction. Clustering Attached Files: km4.png (20.179 KB) Perform the clustering analysis of the data on CMPSC-131 st You script shall: 1. Normalize each column by dividing it by the maximum number 2. Calculate the mean of all “Q and “A” columns (call the new column “Assignments’) 3. Partition the rows into seven clusters, based only on the values of Final” and Assignments 4. Scatter plot the original scores in the “Final’ and “Assignments” coordinates 5. In the same chart, scatter plot the cluster centroids using a different marker style The chart must have X and Y axes labels. Save it as a PNG file. A sample output (for 4 clusters) is attached. A cs1-scores.txt
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