Question $2$: Data Analysis from a Text File using NumPy

You're working as a data analyst for a research project that involves analyzing experimental data

collected in a text file. The data includes measurements from various experiments stored in a matrix

format.

Your task is to create a Python program using NumPy to read the experimental data from the provided

text file, perform specific analysis, and generate a report summarizing the findings.

Steps:

$1.$ File Preparation:

$$ You'll receive a text file named "experimental$\_$data.txt$"$ containing numerical values

organized in a matrix or array format.

$$ The file represents data collected from experiments and contains several rows and

columns of numerical measurements.

Note: File format like below

Experiment $1$

$12\mathrm{.}515\mathrm{.}218\mathrm{.}310\mathrm{.}9$

$8\mathrm{.}711\mathrm{.}113\mathrm{.}29\mathrm{.}4$

$9\mathrm{.}814\mathrm{.}516\mathrm{.}712\mathrm{.}1$

Experiment $2$

$22\mathrm{.}119\mathrm{.}625\mathrm{.}021\mathrm{.}8$

$20\mathrm{.}518\mathrm{.}224\mathrm{.}722\mathrm{.}3$

$23\mathrm{.}825\mathrm{.}528\mathrm{.}124\mathrm{.}9$

The file contains data from two experiments $($Experiment $1$ and Experiment $2).$

Each experiment's data is represented by a matrix, where rows correspond to different

observations or measurements within the experiment.

The values within each matrix represent the recorded measurements, such as sensor

readings, test results, or any other quantitative observations.

$2.$ Python Program Development:

$$ Develop a Python script that achieves the following:

$$ File Reading and Data Analysis:

$$ Read the experimental data from "experimental$\_$data.txt$"$ into a NumPy

array.

$$ Specific Analysis:

$$ Implement specific analysis tasks based on the provided dataset

$($calculating average, summation, maximum value in each row and

column, minimum values for each row and column, mask the value

that is $>10).$

$3.$ Code Implementation:

$$ Write a Python program that carries out the tasks mentioned above.

$$ Ensure your code is well$-$documented, explaining the purpose of significant steps or

functions