What is an audit for elections?

An election audit is any review conducted after polls close for the purpose of determining whether the votes were counted accurately (a results audit) or whether proper procedures were followed (a process audit), or both.

What are the characteristics of free and fair election?

A free and fair election involves political freedoms and fair processes leading up to the vote, a fair count of eligible voters who cast a ballot (including such aspects as electoral fraud or voter suppression), and acceptance of election results by all parties.

How can free and fair elections be conducted in India?

Election Commission is the federal body of India which is enacted under the provisions of the Constitution, responsible for monitoring and administering all the electoral processes of India. This body is responsible for ensuring elections are free and fair, without any bias.

What are the functions of the Election Commission?

The Election Commission of India is an autonomous constitutional authority responsible for administering Union and State election processes in India. The body administers elections to the Lok Sabha, Rajya Sabha, State Legislative Assemblies in India, and the offices of the President and Vice President in the country.

How do you demonstrate good citizenship values?

1. A Good Citizen is Patriotic.

1. Brush up on your country’s history.
2. Read up on social studies.
3. Obey the rule of law.
4. Pay your taxes.
5. Learn the national anthem.
6. Fly your country’s flag.
7. Don’t litter or engage in acts of vandalism that deface your environment.
8. Travel around your country and talk to your fellow citizens.

Why do need democracy in diversity country like India?

Answer: Democracy is important because it give citizens equal opportunities to help make laws, vote for leaders and be protected by laws and rights that are in place. Democracy is a governmental structure that focuses on the rights of the citizens rather than the rights that the government has to control the citizens.

What are anomalies in data?

Also called conditional outliers, these anomalies have values that significantly deviate from the other data points that exist in the same context. An anomaly in the context of one dataset may not be an anomaly in another. These outliers are common in time series data because those datasets are records of specific quantities in a given period.

What is anomaly detection and why is it important?

What is anomaly detection? Anomaly detection (aka outlier analysis) is a step in data mining that identifies data points, events, and/or observations that deviate from a dataset’s normal behavior. Anomalous data can indicate critical incidents, such as a technical glitch, or potential opportunities, for instance a change in consumer behavior.

How do you detect time series data anomalies?

Time series data anomaly detection must first create a baseline for normal behavior in primary KPIs. With that baseline understood, time series data anomaly detection systems can track seasonality — the cyclical patterns of behavior within key datasets. A manual approach may help identify seasonal data in one data plot.

How to detect anomalies in multivariate data?

In multivariate anomaly detection, outlier is a combined unusual score on at least two variables. So, using the Sales and Profit variables, we are going to build an unsupervised multivariate anomaly detection method based on several models. We are using PyOD which is a Python library for detecting anomalies in multivariate data.

https://www.youtube.com/watch?v=q4FfZNzJ7aA