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Computational thinking- the thought processes involved in formulating a problem and expressing its solution(s) in such a way that a computer—human or machine—can effectively carry out. Computational Thinking is an iterative process based on three stages.
Problem solving process- The process of working through details of a problem to reach a solution. Problem solving may include mathematical or systematic operations and can be a gauge of an individual's critical thinking skills.
Data- facts and statistics collected together for reference or analysis.
Information- facts provided or learned about something or someone.
Algorithm- a process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer.
Aggregate data- aggregate data are data combined from several measurements. When data are aggregated, groups of observations are replaced with summary statistics based on those observations. In a data warehouse, the use of aggregate data dramatically reduces the time to query large sets of data.
Discovery Data- in the context of IT, is the process of extracting actionable patterns from data. The extraction is generally performed by humans or, in certain cases, by artificial intelligence systems.
A proprietary database is a database that is not open to the public and has a password and is owned privately
Answer:
Before running this program, make sure you have installed pandas module for python.
pip install pandas
import pandas as pd
import numpy as np
csv_file = input("Enter CSV File Name : ")
df = pd.read_csv(csv_file)
count_row = df.shape[0]
print("There were %d Film Permits in Total." %(count_row))
borough_count = df['Borough'].value_counts()
print(borough_count)
location_count = df['ParkingHeld'].value_counts().head(5)
print(location_count)
Explanation:
