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Solve the following set of problems using Python and submit the code file with extension . ipynb 1 . Read Sensor readings, with temperature, light,

Solve the following set of problems using Python and submit the code file
with extension .ipynb
1. Read Sensor readings, with temperature, light, humidity every 5 minutes at 8
locations (trial,2014 to 2015) and print the feature name with numbers of missing
entries.
2. Fill in the missing entries. For filling any feature, you can use either the mean or
median value of the feature values from observed entries. Explain the reason behind
your choice and print replacement value of each feature.
3. Use a histogram to show the distribution of the variable location. Explain the
distribution and show how many locations are there in total.
4. Encode the categorical variable location" using an appropriate encoding approach and display the encoded values. Justify your selection of encoding approaches.
5. Apply the min-max scaling on features "[boardtype, boardid ,temp_max, temp_min, temp_avg,light_max, light_min,light_avg, humidity_min, humidity_max,
humidity_avg]". Plot distribution of first six features before and after scaling. Is there any difference? Please explain Kindly share the code,output and explanation on the jupyter note file.

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