Data Exploration - Satellite Launches - Engineering Assignment Help

Assignment Task :

SECTION A - DATA EXPLORATION: 
A. REQUIRED L

Overview of 40• years of satellite launches? (E. Kaplan)

a. L: years / decades, months, days

b.  C. What need to be done:

i. write the API to extract just the tooth, Clots column

ii. This would return just the list of all date

iii. For example:101/04/1975, 04/24/1981, ...) iv. Use IS to extract day, month, year   append to three Ogg with key-day/month/year and value is the value counts (need for loop and append to three objects)

v. Do visualization of multiple x-axes: date, month, year

vi. Y-axis: single, representing the counts (refer to 16-D3/3/Activities/12 or Henry's GitHub for D3-project 
 

2. Plot satellite launch by countries: who has the most satellites (owner column) (OJ.) a. L: country names - radial stacked bar chart (switch to simple bar chart if spending too much time and codes don't work) b. L: counts c. What to do: similar to iii, step j,-> iv with key is the country names, and value is the count

3. Leaflet: (OJ.)

a. Comparing 1970 - 2020: slider over the map

b. Choropleth maps (in total): use the data from 42

c. Getting the country names and value count from 0 2 4. Build demographic box for each satellite name: (H. Le) a. Country of origin, WO Qate, Purpose, Period, Orbit Classes, Mass, Latt.cb SQtc b. Create a Python Table to contain just the above parameters C. How to do it:

i. Use Python/ SQL Alchemy to extract the columns, then export to csv, then load manually into SQLite table (Creating the class in Python and auto loading auganinto SQLite may have some issue with alga* mismatch - not going to that route}

ii. Write the API for connecting to this table IS to load the demographic table based on satellite name 

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