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Reflective Report What have I done? (Relate to Tasks/Activities in your learning agreement form.) After researching data onto different sites, I was going to work on the data of heart disease in the patient of the Cleveland database. But after consulting with my supervisor, I decided to work on the data of Nepal so it can be useful for the country. After many explorations of the data, I was impressed by the data of the Post-Disaster Recovery Framework (PDFR) 2016 from the open data Nepal. So, I decided to research the information of the PDFR published by The National Reconstruction Authority (NRA). LO1: Before doing data analysis, the planning of the project was done. The initial plan was to break down the tasks and activities into simple and small portions. At first, the research was done to decide the data set and different tools and techniques for data analysis. LO2: From the research, I found that a year after the devastating earthquakes of 25 April and 12 May 2015, the earthquake influenced assembling, creation, and exchange agribusiness just as the travel industry and different territories of the division. In this way, The National Reconstruction Authority propelled the recuperation program, by first, doing various exercises focused on restoring a feeling of commonality in quake influenced territories From the data of the PDFR, I am going to analyze and visualize the data. LO6: After selecting the dataset, I learned about R programming during the period. I installed the RStudio and learned the basic syntax of R programming. I learned to read the csv file in the RStudio. What I did well (Refer to Skills/Knowledge Used.) Data collection was the one I did well on as I already knew the different data collecting sites. I had more ideas on the data set that what kind of data I needed on this intern period from the past experience of my previous semester.

What I could improve on? (i.e. Skills/Knowledge I want to improve.) Programming skills is one of the skills I will improve upon upcoming days by practicing regularly. As it is important for speeding up the input and output processes in a machine. How will I improve? (Explain how you will improve Skills/Knowledge in short term and in long term – make goals SMART.) Specific: Learn R programming so that I can analyze the data set. Measure: I will know this goal is complete when I have finished the data analysis and visualization. Achievable: To achieve this goal, I have been learning the R programming from eduonix. Relevant: With the programming background it is a more realistic target to me. Timing: 15 th May 2020 to 7 th April 2020. Does my Supervisor agree? (What does your Supervisor think of your action plan?) Yes, he agrees to research and programming skills. As per his supervision, he thinks it is important to know more about the dataset I am doing and implement it in the coding for the best output.

density. I used the ggplot library to visualize the data. (LO5) I learn about the types of the data type in R. I learn to write the code in the R programming language. I learn about the matrices, arrays, factors, data frame, and use of the libraries. What I did well (Refer to Skills/Knowledge Used.) Coding in the R programming language was the one I did well on as I already knew some of the basic syntaxes. I had more ideas on R programming for data analysis and visualization as I was reading Data analysis as a module in this semester. What I could improve on? (i.e. Skills/Knowledge I want to improve.) Good data analyzing is one of the skills I will improve upon the upcoming days by practicing regularly and reading articles. As it is important for knowing facts, figures and context of the data. How will I improve? (Explain how you will improve Skills/Knowledge in short term and in long term – make goals SMART.)’ Specific: Learn R data visualization and pictorial presentation of data so that I can visualize the data. Measure: I will know this goal is complete when I have finished the data analyzing and visualization part. Achievable: To achieve this goal, I have been learning the use of the libraries, plots and correlation. Relevant: As a future data analyst, it is a more realistic target to me.

Timing: 20 th May 2020 to 25 th April 2020. Does my Supervisor agree? (What does your Supervisor think of your action plan?) Yes, he agrees to good data analyzing skills. As per his supervision, he thinks it is important to analyse data properly as it organizes, interprets, structures and presents the information into valuable data that gives setting to the information.

days by checking the grammar and writing it into simple language so the reader can read easily and understand about the project. How will I improve? (Explain how you will improve Skills/Knowledge in short term and in long term – make goals SMART.) Specific: Checking grammar, not writing hard words which is difficult to understand. Measure: I will know this goal is complete when I have finished the documentation and review it with my senior. Achievable: To achieve this goal, I have been reading blogs and article to do proper documentation Relevant: As a future data analyst to do good documentation, it is a more realistic target to me. Does my Supervisor agree? (What does your Supervisor think of your action plan?) Yes, he agrees to good documentation skills. As per his supervision, he thinks it is important to do good documentation as it helps to guarantee assent and desires. It assists with telling the account for choices made, and how yourself or the customer reacted to various circumstances. In this equivalent estate, it is critical to record data that can help bolster the correct treatment plan and the thinking for such administrations. WBS Chart

LO1: Planning of the whole project tasks evidence will be provided in the final documentation. LO Name Task Name Description Time No hours Status LO1: Planning of the project Task 1 Collecting the data and reviewing with the supervisor 3 days 18 Hours Complete LO1: Planning of the project Task 2 Identifying appropriate algorithms and Programming language 2 days 8 hours Complete LO1: Planning of the project Task 3 Exploratory Data analysis 5 days 24 hours Complete LO1: Planning of the project Task 4 Exploratory Data Visualization 6 days 36 hours Complete LO1: Planning of the project Task 5 Documentatio n 6 days 36 hours Complete LO2: Explore Data of the application area Task1 Task2 evidence screenshots will be provided in the final documentation. LO Name Task Name Description Time No hours Status LO2: Data Researching Task 1 Researching Dataset 4 days 20 Hours Complete

LO Name Task Name Description Time No hours Status LO4: Data Visualization Task 1 Exploring different package Like ggplot, dplyr and so on. 2 days 6 Hours Complete LO4: Data Visualization Task 2 Visualizing data using histograms, bars, scatter plot 4 day 20 hours Complete LO4: Data Visualization Task 3 Color palette optimized for visualizing data 1 day 8 hours Complete LO5: Data Analyst Tools and Techniques Task1 Task2 evidence will be provided in the final documentation. LO Name Task Name Description Time No hours Status LO5: Data Analyst Tools and Techniques Task 1 Descriptive Analysis 1 days 6 Hours In Progress LO5: Data Analyst Tools and Techniques Task 2 Regression Analysis 2 day 12 hours Complete

LO6: Report writing evidence will be provided in the final documentation. LO Name Task Name Description Time No hours Status LO6: Report writing Task 1 Data Analysis and Visualization Documentation 5 days 36 Hours Complete

Visualizing the data with the color palette part was the one I did well on as I had researched on the libraries. I had more ideas on data visualization as I was reading Data analysis as a module this semester. What I could improve on? (i.e. Skills/Knowledge I want to improve.) The machine learning algorithm is the knowledge I will improve upon in the upcoming days by checking the reading of the pdf files, articles, books and so on. As machine learning can create exact outcomes and investigation by creating effective and quick calculations and information driven models for ongoing handling of this information. How will I improve? (Explain how you will improve Skills/Knowledge in short term and in long term – make goals SMART.) Specific: I will keep myself data science up to date and read news, articles. Measure: I will know this goal is complete when I have finished implementing it in my project. Achievable: To achieve this goal, I have been reading blogs and articles to write proper algorithms. Relevant: As a future data analyst to improve writing machine algorithms, it is a more realistic target to me. Timing: 29 th April 2020 to 10 th June 2020 Does my Supervisor agree? (What does your Supervisor think of your action plan?)

Yes, he agrees to write good machine learning algorithms. As per his supervision, he thinks it is important to write good machine learning as it helps to create exact outcomes and investigation by creating effective and quick calculations and information driven models for ongoing handling of this information.