In Python

$-$Write a menu driven program that analyzes a data file containing sensor information.

The menu should provide following options:

$1-$ Read Sensor Data File

$2-$ Analyze Data

$3-$ Exit

Option $1$ will read the provided datafile$\_$lab$2.$txt

Download datafile$\_$lab$2.$txtPreview the document file into lists. It will validate each line of information $($aka record$)$ to make sure that the record is complete.

The format of the data file is as follows:

Field $1-$ record number

Field $2-$ date $/$ time

Field $3-$ temperature reading in Fahrenheit

NOTE: A missing field is an invalid record. A temperature field that doesn't contain an integer is an invalid record.

Option $2$ will analyze the data and report:

$-$ the number of days where the temperature was freezing or below

$-$ the number of day where the temperature was $90$ degrees or above.

$-$the coldest day $($if more than one day with same low temp then report the first occurrence$)$

$-$the hottest day $($if more than one day with same high temp then report the first occurrence$)$

$-$ the number of invalid records

The program should end gracefully and thank the user with option $3.$ Data File contains: $67,$Apr $13202012$:$04$:$05,97$

$68,$Apr $14202012$:$04$:$05,39$

$69,$Apr $15202012$:$04$:$05,24$

$70,$Apr $16202012$:$04$:$05,24$

$71,$Apr $17202012$:$04$:$05,97$

$72,$Apr $18202012$:$04$:$05,94$

$73,$Apr $19202012$:$04$:$05,9$

$74,$Apr $20202012$:$04$:$05,71$

$75,$Apr $21202012$:$04$:$05,$NaN

$76,$Apr $22202012$:$04$:$05,72$

$77,$Apr $23202012$:$04$:$05,46$

$78,$Apr $24202012$:$04$:$05,83$

$79,$Apr $25202012$:$04$:$05,19$

$80,$Apr $26202012$:$04$:$05,92$

$81,$Apr $27202012$:$04$:$05,7$

$82,$Apr $28202012$:$04$:$05,13$

$83,$Apr $29202012$:$04$:$05,15$

$84,$Apr $30202012$:$04$:$05,62$

$85,$May $01202012$:$04$:$05,0$

$86,$May $02202012$:$04$:$05,57$

$87,$May $03202012$:$04$:$05,85$

$88,$May $04202012$:$04$:$05,49$

$89,$May $05202012$:$04$:$05,4$

$90,$May $06202012$:$04$:$05,32$

$91,$May $07202012$:$04$:$05,46$

$92,$May $08202012$:$04$:$05,61$

$93,$May $09202012$:$04$:$05,12$

$94,$May $10202012$:$04$:$05,93$

$95,$May $11202012$:$04$:$05,6$

$96,$May $12202012$:$04$:$05,35$

$97,$May $13202012$:$04$:$05,8$

$98,$May $14202012$:$04$:$05,$NaN

$99,$May $15202012$:$04$:$05,77$