CSV FILE INFO• Option: Scrape, not download, the CSV file instead of scraping table. Create the 6 agents to handle the annual data. These agents extract the yearly dataa time over the range 1990 thru 2019. When the data has been extracted, the plota linear regression for each threaded agent.Threading rules:▪ Only one agent can access the database at a time.▪ The database inquiry only request one cell of data per request for data.▪ The agents must make repeated requests for annual data.After collecting the data, plot a liner regression for each gas using either Matplotlibor Plotly. Create 6 threaded agents for the Global Radiative Forcing annual values. These agents extract the yearly data one at a time over therange 1990 thru 2019.Threading rules:Only one threaded agent can access the database at a time.The database inquiry only requests one cell of data per request.The agents must make repeated requests for yearly data.After collecting the data, plot the liner regression for each gas using either Matplotlib or Plotly.●●Agent1Agent2...Agent6Year CO₂ CH1980Table 2. Global Radiative Forcing, CO₂-equivalent mixing ratio, and the AGGI 1979-2019CO₂-eq(ppm)1979 1.027 0.40619811000Global Radiative Forcing (W m²²)1982 1.0911 117N₂01.079 0.420 0.1070.1041.060 0.413 0.104 0.1630400CFCS* HCFCs0.1540.1720.426 0.111 0.18001000.0080.0090.0090.010HFCS* Total Total0.001 1.700 3820.001 1.750 3860.0010.0010.001 1.788 388 0.8251 0411990 change= 10.785201AGGI0.808 2.31.820 391 0.8400 OCA1.81.510 From this website:https://gml.noaa.gov/aggi/aggi.htmlПОЯЯGlobal Monitoring LaboratoryEarth Custom Desearch I ahoratoriosScrape the website data or scrape the csv data file (not download):Table 2: Global Radiative ForcingStore the data in your SQLite database from previous lab assignments.

Threading is a technique used to improve the performance of applications by allowing multiple…

Answered: CSV FILE INFO • Option: Scrape, not…

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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Question

CSV FILE INFO
• Option: Scrape, not download, the CSV file instead of scraping table.

Create the 6 agents to handle the annual data. These agents extract the yearly data
a time over the range 1990 thru 2019. When the data has been extracted, the plot
a linear regression for each threaded agent.
Threading rules:
▪ Only one agent can access the database at a time.
▪ The database inquiry only request one cell of data per request for data.
▪ The agents must make repeated requests for annual data.
After collecting the data, plot a liner regression for each gas using either Matplotlib
or Plotly.

Create 6 threaded agents for the Global Radiative Forcing annual values. These agents extract the yearly data one at a time over the
range 1990 thru 2019.
Threading rules:
Only one threaded agent can access the database at a time.
The database inquiry only requests one cell of data per request.
The agents must make repeated requests for yearly data.
After collecting the data, plot the liner regression for each gas using either Matplotlib or Plotly.
●
●
Agent1
Agent2
...
Agent6
Year CO₂ CH
1980
Table 2. Global Radiative Forcing, CO₂-equivalent mixing ratio, and the AGGI 1979-2019
CO₂-
eq
(ppm)
1979 1.027 0.406
1981
1000
Global Radiative Forcing (W m²²)
1982 1.091
1 117
N₂0
1.079 0.420 0.107
0.104
1.060 0.413 0.104 0.163
0400
CFCS* HCFCs
0.154
0.172
0.426 0.111 0.180
0100
0.008
0.009
0.009
0.010
HFCS* Total Total
0.001 1.700 382
0.001 1.750 386
0.001
0.001
0.001 1.788 388 0.825
1 041
1990 change
= 1
0.785
201
AGGI
0.808 2.3
1.820 391 0.840
0 OCA
1.8
1.5
10

From this website:
https://gml.noaa.gov/aggi/aggi.html
ПОЯЯ
Global Monitoring Laboratory
Earth Custom Desearch I ahoratorios
Scrape the website data or scrape the csv data file (not download):
Table 2: Global Radiative Forcing
Store the data in your SQLite database from previous lab assignments.

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