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Forecasting of Literacy Rate Using Statistical and Data Mining Methods of Chhattisgarh

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Data Science and Analytics (REDSET 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1229))

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Abstract

Literacy helps in country’s overall development and economic growth. Chhattisgarh is one of the states of India and ranks 27th in terms of literacy. This describes about the lack of educational facilities in the state. Predicting literacy rate of Chhattisgarh will help in determining the future status of the state. This will further help to take necessary action in the support of promoting literacy in the state. The main reason for lack of literacy in this area is due to tribal areas in the state and lack of initiatives in educating men and women. Forecasting of literacy rate will help the government to make proper plans to increase literacy rate. Projection for total literacy rate per year is done using geometric mean method. Forecasting is done with the help of time series analysis in R programming language using ARIMA model. As per this method, the forecasted literacy rate of Chhattisgarh in 2021 is 75.502%. This forecasting will help to monitor literacy rate of Chhattisgarh and may help to improve its rank among other states. The main tool used for forecasting is the R language, used for data mining.

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Authors and Affiliations

  1. Computer Science and Engineering Department, Amity University, Noida, Uttar Pradesh, India

    Aditeya Nanda, Vishwani Sati & Shweta Bhardwaj

Authors
  1. Aditeya Nanda
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  2. Vishwani Sati
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  3. Shweta Bhardwaj
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Corresponding author

Correspondence to Shweta Bhardwaj .

Editor information

Editors and Affiliations

  1. GD Goenka University, Gurugram, India

    Usha Batra

  2. GD Goenka University, Sohna, Haryana, India

    Nihar Ranjan Roy

  3. University of Arkansas, Fayetteville, AR, USA

    Brajendra Panda

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Nanda, A., Sati, V., Bhardwaj, S. (2020). Forecasting of Literacy Rate Using Statistical and Data Mining Methods of Chhattisgarh. In: Batra, U., Roy, N., Panda, B. (eds) Data Science and Analytics. REDSET 2019. Communications in Computer and Information Science, vol 1229. Springer, Singapore. https://doi.org/10.1007/978-981-15-5827-6_17

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  • DOI: https://doi.org/10.1007/978-981-15-5827-6_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5826-9

  • Online ISBN: 978-981-15-5827-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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