python programming


Comcast is an American global telecommunication company. The firm has been providing terrible customer service. They continue to fall short despite repeated promises to improve. Only last month (October 2016) the authority fined them a $2.3 million, after receiving over 1000 consumer complaints.

The existing database will serve as a repository of public customer complaints filed against Comcast.

It will help to pin down what is wrong with Comcast's customer service.

Data Dictionary

Ticket #: Ticket number assigned to each complaint

Customer Complaint: Description of complaint

Date: Date of complaint

Time: Time of complaint

Received Via: Mode of communication of the complaint

City: Customer city

State: Customer state

Zipcode: Customer zip

Status: Status of complaint

Filing on behalf of someone

Analysis Task

To perform these tasks, you can use any of the different Python libraries such as NumPy, SciPy, Pandas, scikit-learn, matplotlib, and BeautifulSoup.

- Import data into Python environment.

- Provide the trend chart for the number of complaints at monthly and daily granularity levels.

- Provide a table with the frequency of complaint types.

Which complaint types are maximum i.e., around internet, network issues, or across any other domains.

- Create a new categorical variable with value as Open and Closed. Open & Pending is to be categorized as Open and Closed & Solved is to be categorized as Closed.

- Provide state wise status of complaints in a stacked bar chart. Use the categorized variable from Q3. Provide insights on:

Which state has the maximum complaints

Which state has the highest percentage of unresolved complaints

- Provide the percentage of complaints resolved till date, which were received through the Internet and customer care calls.

The analysis results to be provided with insights wherever applicable.

Taidot: Python, tiedonlouhinta, Tietojärjestelmäarkkitehtuuri, Machine Learning (ML), Tietojenkäsittely

Näytä lisää: bid python programming projects, aspnet sql server daily monthly weekly quarterly notification, oscommerce programming description, python programming web bot project website, website programming description, crawl webpage webpage automatically python programming, website design programming description, rapidshare python programming introduction computer science, html code counter daily monthly weekly hit, python programming karachi, openerp python programming, python programming arcgis, find pizza program python programming, python programming outsource, python programming outsourcing, python read description file, sweden python programming, weekly daily monthly pivot mt4 indicator, metatrader daily monthly weekly pivot, python programming assignment

Tietoa työnantajasta:
( 0 arvostelua ) India

Projektin tunnus: #29371673

5 freelanceria on tarjonnut keskimäärin ₹1480 tähän työhön


Hi, I am Ibrahim, and I am a data scientist, I can help you with complaint analysis, I am an expert in python and all relevant and mentioned tools. Please share more details besides the dataset that you provided. Reg Lisää

₹2500 INR 3 päivässä
(69 arvostelua)

Greetings! Glad to inform you that I can assist on Project Python, having clearly gone through the instructions and requirements. I have vast experience on the subject, and can assure exceptional assistance. Samples ca Lisää

₹1000 INR 2 päivässä
(13 arvostelua)

Hola! I can help you with this Python project in the minimum price. I am a specialist in computer science & information security. I have experience of more than 10 years and 100s of projects. Please ping me for a chat Lisää

₹1500 INR 1 päivässä
(4 arvostelua)

Hello, I just passed [login to view URL] in machine learning and currently working as Junior Research Assistant in government funded project. I am in Machine learning and data analysis areas from last three years. I done data ana Lisää

₹1350 INR 5 päivässä
(5 arvostelua)

i m new in this field but i waana try bcoz i think try is more than [login to view URL] plz give me a project.

₹1050 INR 7 päivässä
(0 arvostelua)