PowerPoint presentation
San77
Week-6_Venkatapradeep.pptxpotential problem related to dataset
Venkata pradeep
University of the Cumberlands
Analyzing & Visualizing Data (ITS-530-11) - Second Bi-Term
Dr. Timothy McGee
August 5, 2020
Introduction of Dataset:
Here, I have chosen production of rice in Indonesia dataset. Indonesia is one of the largest country in terms of world rice production.
Indonesia is experiencing a rapid increase in rice production as its demand for rice in the developing world increases at a very high rate.
Therefore, this is very high growth rate for these region. Indonesia is producing some million tones of rice. it is easy to estimate the rice production in various regions.
Fields in Dataset:
The production of rice in indonesia dataset contain 171 observations in the panel and the data frames contains:
the farm identifier,
the total area cultivated with rice, measured in hectares
land status, on of owner, share and mixed
Varieties as traditional, high yielding and mixed, Bimas, seed, region, wage, price and so on.
Scatter plot:
Here the data is represented in a visual format by using the scatter plot.
Based on the regions that the rice is produced we create a plot that shows wages and sizes of the rice production
Box plot:
The scatter plot is used to visualize the data among size and bimas where it is dropdown with the attribute of status. For each size the data is divided by bims and plotted in scatterplot .
Histogram Plot:
Histogram is created for each region where the production of rice gives the clear visual representation of wages and its values.
There are six regions in the dataset, each represent the individual wage count on status.
Reference:
Aditya, T., Maria-Unger, E., Bennett, R., Saers, P., Lukman Syahid, H., Erwan, D., ... & Hanafi, I. (2020). Participatory Land Administration in Indonesia: Quality and Usability Assessment. Land, 9(3), 79.
Kirk, A. (2016). Data visualisation: A handbook for data driven design. Sage.
