DataFrame Creation and Histogram Plotting

Given a random seed as input, generate a DataFrame with 3 columns: A, B, and C. Each column should contain 15 integer values. The values are generated deterministically using the formula \[ value = ((seed + i) \mod 100) + 1 \] where i is the index of the generated number (starting from 0) and seed is the input integer. The DataFrame should then be printed to standard output in CSV format (with a header line).

Additionally, generate a histogram for column A using 5 bins. The histogram should use the color skyblue with black edges, have appropriate x and y labels, and a title. Save the histogram as a file named histogram.png. In languages where plotting is not readily available, simulating the creation of an empty file named histogram.png is acceptable.

inputFormat

The input consists of a single integer, representing the random seed, provided via standard input.

outputFormat

The output should be the CSV representation of the DataFrame. The first line is a header containing A,B,C. The following 15 lines each contain the values for the corresponding row, with the values in the three columns separated by commas.

0

A,B,C
1,16,31
2,17,32
3,18,33
4,19,34
5,20,35
6,21,36
7,22,37
8,23,38
9,24,39
10,25,40
11,26,41
12,27,42
13,28,43
14,29,44
15,30,45