List 4 problems associated with the dataframe CountryAfghanistanAlbaniaAlgeria3 American SamoaAndorra@TNM St01240123401Nm st340123401234199468ASIA (EX. NEAR EAST)23,06-4,93-0,39-20,716,6EASTERN EUROPENORTHERN AFRICAOCEANIAWESTERN EUROPE46,615,1117,1422,468,71Area (sq. mi.) Pop. Density (per sq. mi.) coastline (coast/area ratio) \64750048,0124,62874823817403,271,278,1259,5497,2Birthrate Deathrate Agriculture20,345,224,613,276,2513,8290,4152,1Net migration Infant mortality (per 1000 births) GDP ($ per capita) \163,07700.021,52319,274,050,380,2320,101NaNNaNRegionLiteracy (%) Phones (per 1000) Arable (%) Crops (%) Other (%) climate36,00,2287,6586,570,097,0100,012,1321,093,22102,220,240,1880,6NaNNaNpopulation A310569973581655329300914,420,25150Industry Service0,380,5790,2985779471201NaNNaN0,001,260,0458,290,004500.06000.08000.019000.074,4996,537597,78131231 Import countries_of_the_world.csv. Write lines of code to explore this DataFrame. List at least 4 problemsassociated with this DataFrame.

Given CSV file consist of Raw data . you need to perform data cleaning for these data.

Answered: List 4 problems associated with the…

Engineering

Computer Science

List 4 problems associated with the dataframe

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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16-7. Automated Title: In eq_world_map_3.py, we specified the title manually when defining my_layout, which means we have to remember to update the title every time the source file changes. Instead, you can use the title for the data set in the metadata part of the JSON file. Pull this value, assign it to a variable, and use this for the title of the map when you’re defining my_layout.
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