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Python

Summarize the characteristics of these data in time and space.

Ride-hailing platforms don’t have a constant price like public transportation like subways/buses. The price of a ride depends on factors such as mileage, time, demand, climate conditions and local accessibility.
We have two data sets, one week long, that include travel data from both Uber and Lyft and weather data over the same period. Please try the analysis according to the data content and the actual map location information:
· The relationship between trip length and price
· The relationship between price and climate
· The relationship between itinerary type and price
Summarize the characteristics of these data in time and space. For example, what is the common direction of migration in the morning? What is the common direction of migration in the evening? Are there specific differences between weekday and weekend schedules? Summarize a report and try to give statistics and solutions to optimize operations for drivers.

Categories
Python

Describe and discuss the dataset and features using appropriate graphs and tables

Data Analytics using Python
Deliverables – for this assignment, you will consider a real world dataset that contains at least 2
categorical and at least 2 continuous features and deliver code and a report that covers the
following:
Exploratory Analysis (10 marks):

Describe and discuss the dataset and features using appropriate graphs and tables
– For each continuous variable, describe central and variational measures
– Produce appropriate graphs for the relationship between the features and calculate
correlation coefficients.
Data Preprocessing (10 marks):

Convert any categorical variables into dummy variables
– Handle any missing data

Outliers
– Explain chebyshev’s rule and use it to find any outliers in the data
– Explain the box plot technique and use it to find any outliers in the data
– Discuss any outliers and decide if you will remove / alter these values and why

Explain the rationale for normalization, and use some technique to normalize your data.
– Split the dataset into 80% training and 20% testing and explain why this is necessary for
ML.
Predictive Analysis (20 marks):
– Specify input and output variables
– Fit a suitable regression model to your training dataset
– Interpret the model parameters
– Use your model to predict the output for your test data
– Provide an analysis of the model performance.
The report should also have an introduction and conclusion.

Categories
Python

Character count

# Description
Design a FlowChart that takes an Input from the User; Processes the Input to Count the number of Words, Letters, Numbers, and Special Characters (including Spaces)
# Conditions
Using the starter File (HW_IPO.py) take the Input, Process it based on the Conditions, and Output the results as instructed in the Instructions
* Assume contiguous sentences separated only by spaces; do not handle Carriage-Return/Line-Feed scenarios
* Output – Four Metrics must be output to the terminal
1. Word Count
2. Character Count
3. Number Count (Whole and Decimal)
# References
Python Reference: https://www.w3schools.com/python/python_reference.asp
– Stick to Built-In or String Methods
Corporate Ipsum: https://www.cipsum.com/
– Use this for a single Paragraph text
String Splitting: https://www.geeksforgeeks.org/python-split-string-into-list-of-characters/
# Instructions
1. Design a Flow Chart to handle the Entry of Input from a User, Process the Input according to the Conditions (above), and Output the appropriate Counts in the format you choose, can be any program to design the flowchart, even drawings will work.
2. Using the provided file (HW_IPO.py), add the necessary Test Implementation to validate a string entered by the user.
HINT(s):
1. Use Space Character for Word and Number Count(s)
# Deliverables
* Python Code File (HW_IPO_[userid].py)
HW_IPO.py File can be provided by email or third party if unable to proccess on uploaded files.

Categories
Python

Please follow all directions exactly as they are written, if something is missing or wrong points will be taken off.

please follow all directions exactly as they are written, if something is missing or wrong points will be taken off. Thanks!