# What is the third most populous country according to this estimate? The notebook server will temporarily stop sending output … # xticks=range(1,16), s=6*Top15['2014']/10**10, alpha=.75, figsize=[16,6]); # for i, txt in enumerate(Top15.index): # ax.annotate(txt, [Top15['Rank'][i], Top15['% Renewable'][i]], ha='center'), # print("This is an example of a visualization that can be created to help understand the data. Hi. A comprehensive database of data science quizzes online, test your knowledge with data science quiz questions. " #plot_optional() # Be sure to comment out plot_optional() before submitting the assignment! (exclude missing values from this calculation. 317615384.61538464 -> 317,615,384.61538464, # *This function should return a Series `PopEst` whose index is the country name and whose values are the population estimate string.*. what can i do ? This repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera. hello sir Programming, Data Structures and Algorithms using Python :-MCQs- Week 1 | Week 2 | Week 4 | Week 6 Practical Assignments – Week 2 | Week 3 | Week 4 | Week 5 Introduction to Modern Application Development:-IMAD | Revision | All questions of Mar-Apr session MCQs- Week 1 | Week 2 | Week 3 | Week 4 | Week 5 | Week 7 To download notebooks and datafiles, as well as get help on Jupyter notebooks in the Coursera platform, visit the [Jupyter Notebook FAQ](https://www.coursera.org/learn/python-data-analysis/resources/0dhYG) course resource._. # Create a new column with a 1 if the country's % Renewable value is at or above the median for all countries in the top 15, and a 0 if the country's % Renewable value is below the median. Hope you understand! You must make sure that the py or ipynb file which you submit does not have errors. and Peer graded assignments. # Rename the following list of countries (for use in later questions): # "United States of America": "United States". In this way, despite everything you have the chance to push forward in your vocation in Data Science with Python Development. through the print() function, or it fails to run (e.g. # "United Kingdom of Great Britain and Northern Ireland": "United Kingdom", # "China, Hong Kong Special Administrative Region": "Hong Kong"```. Running the code for question eleven (not exactly the same one that appears here) I get the following error. Active 1 month ago. Introduction to Data Science in Python (University of Michigan/Coursera): Partial process coverage. How can you train and interpret a linear regression model in SciKit learn? Thank you bro this worked.... Guys just import pandas and numpy at the beginning. # `'Bolivia (Plurinational State of)'` should be `'Bolivia'`. 50+ Data Science in Python Interview Questions and Answers for 2018 Python's growing adoption in data science has pitched it as a competitor to R programming language. Check out the complete Data Science Roadmap! # What is the maximum value for this new column, and what country has the highest ratio? When you joined the datasets, but before you reduced this to the top 15 items, how many entries did you lose? Don't include answer_one() also for the others. Username * Password * Request new password; Programming for Everybody (Python) Official website of the course. If you still have any problem with it, mind if I take look at your .ipynb file? On Fri, 22 May 2020, 16:58 Shannon Jeet Singh, ***@***. Jungle Arc - A buildbox game, Poc Man, Free fire booyah , Android secret game and even more.. Samantha Akkineni at svcet selesta 2k20 and even more.. Want to know what are the milestones in Data Science Journey and how to achieve them? problem with question 1 ,week 3 ,Introduction_to_Data_Science_in_Python coursera web site. # There are also several countries with numbers and/or parenthesis in their name. # 'United States':'North America'. Ask Question Asked 1 year, 6 months ago. Intr o duction to Data Science Week 3. What is the difference between a Python tuple and Python list? Created Feb 5, 2017. The Data Science with Python advertise is relied upon to develop to more than $5 billion by 2020, from just $180 million, as per Data Science with Python industry gauges. answer_one()) as an error or extra/not required code. Viewed 3k times -4. Count Your Score. You will get 1 point for each correct answer. Please share where should I comment for the plot. # 'Russian Federation':'Europe'. Introduction to Data Science in Python Assignment-3 - Assignment-3.py. Data Science in Python, Fundamentals of Graphic Design, Introduction to CSS3 & HTML5, Essentials of Global Health +more.. Introduction to CSS3 quiz answers Coursera All weeks and Peer graded assignments. It is used for: web development (server-side), software development, mathematics, system scripting. Try to remove these all. # Create a column that estimates the population using Energy Supply and Energy Supply per capita. You must make sure that the py or ipynb file which you submit does not have errors. Well, I actually did exactly same and it worked out for me. Embed. Thank You. # '#4daf4a','#e41a1c','#4daf4a','#4daf4a','#e41a1c','#dede00','#ff7f00']. At the end of the Quiz, your total score will be displayed. Call this DataFrame **ScimEn**. I written comment so detailed to help with efficiency(long comment but not intended for wasting your time) # Keep in mind that this is an Excel file, and not a comma separated values file. Week 1, week 2, week 3, and even more.. Quiz answers for Essentials of Global Health all weeks. The test is not official, it's just a nice way to see how much you know, or don't know, about Python. How can you build a simple logistic regression model in Python? Kickstart your learning of Python for data science, as well as programming in general with this introduction to Python course. # Make sure to skip the header, and rename the following list of countries: # Finally, load the [Sciamgo Journal and Country Rank data for Energy Engineering and Power Technology](http://www.scimagojr.com/countryrank.php?category=2102) from the file `scimagojr-3.xlsx`, which ranks countries based on their journal contributions in the aforementioned area. Do not include groups with no countries.*. every time I start a new data science project, I end up using Python. Click here to Download. ans = Top15.set_index('Continent').groupby(level=0)['Pop'].agg({'size': np.size, 'sum': np.sum, 'mean': np.mean,'std': np.std}), def answer_thirteen(): # 'South Korea':'Asia'. This course will introduce the learner to the basics of the python programming environment, including how to download and install python, expected … 3+ videos. # Cut % Renewable into 5 bins. Thank You. All weeks and Peer graded assignments. *, 'China, Hong Kong Special Administrative Region', 'United Kingdom of Great Britain and Northern Ireland'. And of course, the discussion forums are open for interaction with your peers and the course staff. # *This function should return a single number. answer_three() Use the `.corr()` method, (Pearson's correlation). answer_six() ***> wrote: The function name is used to call the function for reviewing the output immediately. Computer Forensics; Digitální garáž; Donate. *. Clone with Git or checkout with SVN using the repository’s web address. Thanks for sharing your answers. The output we received from the ipthon interpretor was: Week 1, week 2, week 3, and even more.. Data Management and Clinical Research Quiz Answers Coursera. ), # *This function should return a Series named `avgGDP` with 15 countries and their average GDP sorted in descending order.*. throws an error). The course will end with a statistics primer, showing how various statistical measures can be applied to pandas DataFrames. # What country has the maximum % Renewable and what is the percentage? Python in Data Science. perform data analytics and build predictive models. Week 1, week 2, week 3, and even more.. Python for Everybody Quiz Answers Coursera. Introduction to Data Science in Python Assignment-3. Essentials of Global Health || Coursera answers RainbowArts . Introduction to Data Analysis using Excel; Introduction to Linux ; Udacity. University of Michigan on Coursera. And every time I want to demonstrate data science concepts in a clear, easy-to-understand way, I end up using Python. # _You are currently looking at **version 1.5** of this notebook. answer_eight() Our online data science trivia quizzes can be adapted to suit your requirements for taking some of the top data science quizzes. # 'Australia':'Australia', # 'Brazil':'South America'}, # *This function should return a DataFrame with index named Continent `['Asia', 'Australia', 'Europe', 'North America', 'South America']` and columns `['size', 'sum', 'mean', 'std']`*. # 'Energy Supply per Capita', '% Renewable', '2006', '2007', '2008'. at the last of the code space) Data Science in Python Interview Questions and Answers. For all countries which have missing data (e.g. # *This function should return a single string value.*. Q2). , remove function call . This course sets you on the right track, covering everything you’ll encounter during the bootcamp application process. SpecificationError: nested renamer is not supported, This seems to be on the next line of code written here The output we received from the ipthon interpretor was: Can someone please help me and it is only when i submit my assignment 3, import panda and numpy above cell answer_one *, # Answer the following questions in the context of only the top 15 countries by Scimagojr Rank (aka the DataFrame returned by `answer_one()`), # What is the average GDP over the last 10 years for each country? Top15['PopEst'] = Top15['Energy Supply']/Top15['Energy Supply per Capita'] throws an error). Start studying Python for Data Science. Hello Ajay , I am getting the same error can you guide me how to get rid off it. Thank you. Data is seen by many thought leaders as a concept which is the key to building the next-level society of the future. Ans1.2.3: NumPy, SciPy, Pandas, SciKit, Matplotlib, Seaborn. answer_five() Every time I need to quickly prototype something that just works, I end up using Python. # Use the following dictionary to group the Countries by Continent, then create a dateframe that displays the sample size (the number of countries in each continent bin), and the sum, mean, and std deviation for the estimated population of each country. Each quiz takes you through a series of questions. Week 1, week 2, week 3, and even more.. Introduction to HTML5 Quiz Answers Coursera. return Top15['PopEst'], it will work for answer_thirteen() # () problem solved. # The previous question joined three datasets then reduced this to just the top 15 entries. After completing those, courses 4 and 5 can be taken in any order. Instantly share code, notes, and snippets. https://gist.github.com/5c131585ad8c21c04e9240e6055670ab#gistcomment-3314244, https://github.com/notifications/unsubscribe-auth/AMIQDITKE5WF4AYAD3P6T7LRSZOWTANCNFSM4HMN25FA. You must make sure that the py or ipynb file which you submit does not have errors. answer_eleven() " Linking the data from all these sources and deriving insight seems a daunting task. The size of the bubble corresponds to the countries' \, #2014 GDP, and the color corresponds to the continent."). Even the matplot library need to be installed at the top? Do not round the results. energy = energy[[1,3,4,5]] in answer_one() is giving error. # 'Citations per document', 'H index', 'Energy Supply'. Python Examples Python Compiler Python Exercises Python Quiz Python Certificate. What can Python do? All weeks and Peer graded assignments. Anyone succed ? User login. An Introduction to Data Science in Python. # `'Switzerland17'` should be `'Switzerland'`. # By how much had the GDP changed over the 10 year span for the country with the 6th largest average GDP? Data Visualization in Tableau; Front-End Web Developer; Other courses. \, #This is a bubble chart showing % Renewable vs. Rank. You must make sure that the py or ipynb file which you submit does not have errors. Call this DataFrame **GDP**. Be sure to remove these. throws an error). If you are learning Python for Data Science, this test was created to help you assess your skill in Python. All gists Back to GitHub Sign in Sign up Sign in Sign up {{ message }} Instantly share code, notes, and snippets. Learn vocabulary, terms, and more with flashcards, games, and other study tools. # ax = Top15.plot(x='Rank', y='% Renewable', kind='scatter'. Top15['PopEst'] = Top15['PopEst'].apply('{:,}'.format) Skip to content. Nikhil2919 / Assignment-3.py. 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