Completed

data analysis with python

there are two inputs

spreadsheet 1

contains a new row of values for funcions f1 to f100

spreadsheet 2

contains history values for funcionts f1 to f100.

code should do the following.

1.

write on output, column C, the simple observation whether new

values are greater or less than last value. will do that using

signs "+" or "-". I mean, if new value is greater than the last

value, then a + sign should be written on column C for that

funcion. Otherwise, a - should be written.

2.

calculate what we call negative history constant and positive

history constant, defined as follows.

first calculate the sequence of - and + for ea. function.

then calculate the average value of both, negative sequence and

positive sequence.

write that information in columns D and E.

3.

for every function that is in a negative sequence right now, code should calculate how many negative steps have we reached. We call that a decline count. write that information in column F.

4.

We need a graph for every function that meet the following

criteria.

a - is in a negative sequence;

b - decline count is equal or greater than negative history constant.

Skills: Python, Algorithm, Deep Learning

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