Analysis of Graduate Female in India using Data Visualization

About the Author

Praveen Kumar Neelappa

Graduate Student | Data Science Program

Mercyhurst University

This project is submitted to

Dr.Bora Pajo, PhD

Assistant Professor | Applied Sociology and Social Work

Mercyhurst University

As requirement to complete DATA 550 Data Visualization as part of Master of Science in Data Science

About the Dataset

The dataset consist of Census 2011 information on education in India. The different valriable are

Code: This is unique state code given to every state | AreaName: This consist of state name | part: Claissfy the state depending on their location

Type: Classify the state into Total population, urban population and rural population | TotalPop: Total population | TMales: Total Male population | TFemales: Total Female population | ITotalPop: Total illiterate population | IMales: Male illiterate population | IFemales: Female illiterate population | LTotalPop: Total literate population | LMales: Male literate population | LFemales: Female literate population | LWETotalPop: Total literate without education population | LWEMales: Male literate without education population | LWEFemales: Female literate without education population | BPTotalPop: Total population with education below primary school | BPMales:Total Male population with education below primary school | BPFemales: Female population with education below primary school | PTotalPop: Total population with primary school education | PMales: Male population with primary school education | PFemales: Female population with primary school education | MTotalPop: Total population with middle school education | MMales: Male population with middle school education | MFemales: Female population with middle school education | STotalPop: Total population with Matric/Secondary school education | SMales: Male population with Matric/Secondary school education | SFemales: Female population with Matric/Secondary school education | SSTotalPop: Total population with Higher Secondary/Pre-University school education | SSMales: Male population with Higher Secondary/Pre-University school education | SSFemales: Female population with Higher Secondary/Pre-University school education | NTDTotalPop: Total population with non-technical diploma | NTDMales: Male population with non-technical diploma | NTDFemales: Female population with non-technical diploma | TDTotalPop: Total population with technical diploma | TDMales: Male population with technical diploma | TDFemales: Female population with technical diploma | GTotalPop: Total population with graduation | GMales: Male population with graduation | GFemales: Female population with graduation | UNTotalPop: Unclassified Total population | UNMales: Unclassified Male population | UNFemales: Unclassified Female population

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Background

Literacy and level of education are basic indicators of the level of development achieved by a society. Spread of literacy is generally associated with important traits of modern civilization such as modernization, urbanization, industrialization, communication and commerce. Literacy forms an important input in overall development of individuals enabling them to comprehend their social, political and cultural environment better and respond to it appropriately. Higher levels of education and literacy lead to a greater awareness and also contributes in improvement of economic and social conditions. It acts as a catalyst for social upliftment enhancing the returns on investment made in almost every aspect of development effort, be it population control, health, hygiene, environmental degradation control, employment of weaker sections of the society.

According to the Census 2001, as many as 560,687,797 persons in the country are literate. Of these 336,533,716 are males and 224, 154,081 are females. While the overall literacy rate works out to be 64.8 %, the male literacy rate is 75.3% and that for females is 53.7%, showing a gap of 21.6 percentage points between the sexes at the national level. The gap is more in the rural areas. In the urban areas, higher literacy rate has been recorded both for males and females and the difference among the sexes is lower (13 percentage points ). Kerala, Mizoram, Lakshadweep, Goa and Chandigarh occupy the top five positions in literacy while Dadra & Nagar Haveli, Uttar Pradesh, Jammu & Kashmir, Arunachal Pradesh, Jharkhand, and Bihar, are at bottom. The literacy rates for rural population are the highest in Kerala, followed by Lakshadweep, Mizoram, Goa, and Delhi. Fourteen (14) States / Uts have recorded less than 60 percent rural Literacy rate.

In urban population, the literacy rate is 79.9 % at the national level. Many States/Uts have achieved literacy rate higher than the national average. These are Kerala, Lakshadweep, Mizoram, Goa, and Delhi, which have achieved literacy rate in the range of 88 % to 96 %. Rajasthan, Andhra Pradesh, Bihar, Jammu & Kashmir and Uttar Pradesh rank in the last five states. The number of villages or UAs/Towns has been grouped in different ranges of literacy rate in Table 8.This helps to evolve specific intervention strategies. Among the UAs/Towns, 2,516 out of 4,378 UAs/Towns fall in the literacy range 75.0 percent or above. More than 294 thousands villages come under the literacy range of 50-75 %. There are still as many as 3,077 villages in the country, which do not have a single literate. Out of them, 341 villages have population of at least 100 persons. The number of villages not having a single female literate in 9,899 out of which 2,351 villages have population of at least 100 persons.

Source: http://censusindia.gov.in/Census_And_You/literacy_and_level_of_education.aspx

We will try to visualize and see what data has to show on graduate women in India