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.DISCUSSION...Today through next Tuesday...Well, we mentioned a
nonzero chance of lowland snow in the last few discussions, and that
appears to be coming to fruition in what will be an extremely
challenging forecast for the lowlands north of about Salem. The
addition of high resolution guidance has significantly increased the
probabilities of snow accumulation for these areas, including for the
greater Portland and Vancouver metro area. Several inches of snow are
likely in the Columbia River Gorge east of Multnomah Falls, with over
a foot likely for the Cascades and upper portions of the Hood River
Valley by the time snow diminishes late Thursday or early Friday.

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You're the first data engineer and find your self with the following scenario:

Your company has three user-facing clients: Web, iOS, and Android. Your data science team is interested in analyzing the following data:

1. Support messages
2. Client interactions (clicks, touches, how they move through the app, etc)

The data scientists need to be able to join these two data streams together on a common user_id to perform their analysis. Currently the support messages are going to a service owned by the backend team; they go through standard HTTP endpoints and are getting written to PostgreSQL. You're going to be responsible for the service receiving the client interactions.

Q1: Knowing that you're going to be in charge of getting this to some sort of data store downstream, what would your schemas look like? The only hard requirement is that support messages must have the message body, and client interactions have to have event and target fields to represent actions like click on login button and t

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Example for Cooperative Brushing and Tooltips in D3.

The completed chart, with both tooltips and brushing working cooperatively. You can start a brush-zoom on either the background or a data point.

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A Leaflet.js map created with Folium- click on the map to add markers, double-click to remove them. This map was generated with the following Python code:

map_4 = folium.Map(location=[46.8527, -121.7649], tiles='Stamen Terrain',
                   zoom_start=13)
map_4.simple_marker(location=[46.8354, -121.7325], popup='Camp Muir')
map_4.click_for_marker(popup='Waypoint')
map_4.create_map(path='mtrainier.html')

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-- Gets all queries for a given date range
select starttime, endtime, trim(querytxt) as query
from stl_query
where starttime between '2014-11-04' and '2014-11-05'
order by starttime desc;

-- Gets all queries that have been aborted for a given date range
select starttime, endtime, trim(querytxt) as query, aborted
from stl_query 
where aborted=1

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A Leaflet.js map created with Folium and the default D3 threshold scale, with data bound between the Pandas DataFrame and the TopoJSON. See the Gist for the python code to generate the dataframe. The map was generated with the following Python code:

map_1 = folium.Map(location=[48, -102], zoom_start=3)
map_1.geo_json(geo_path=county_geo, data_out='data1.json', data=df,
               columns=['GEO_ID', 'Employed_2011'],
               key_on='feature.id',
               fill_color='YlOrRd', fill_opacity=0.7, line_opacity=0.3,
               topojson='objects.us_counties_20m')
map_1.create_map(path='map_1.html')

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A Leaflet.js map created with Folium and the default D3 threshold scale. See the Gist for the python code to generate the dataframe. The map was generated with the following Python code:

map.geo_json(geo_path=state_geo, data=state_data,
             columns=['State', 'Unemployment'],
             threshold_scale=[5, 6, 7, 8, 9, 10],
             key_on='feature.id',
             fill_color='BuPu', fill_opacity=0.7, line_opacity=0.5,
             legend_name='Unemployment Rate (%)',
 reset=True)

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Demonstration of binding Vincent graphs to individual GeoJSON data.

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fn into_result(input: &i32) -> Result<&i32, String> {
	Ok(input)
}

fn main() {
    let numbers: Vec<i32> = vec![1, 2, 3, 4, 5];
    let mapper = numbers.iter().map(|x| into_result(x));
    let vector_of_results = mapper.collect::<Vec<Result<&i32, String>>>();
    println!("{:?}", vector_of_results);
    // [Ok(1), Ok(2), Ok(3), Ok(4), Ok(5)]