-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathprev_bootcamps.qmd
66 lines (44 loc) · 3.68 KB
/
prev_bootcamps.qmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
---
title: 'EARNCon data bootcamp files'
---
[EPI Bootcamp Website](https://economic.github.io/data_bootcamp/)
# 2023 Data bootcamp
## Data analysis in R: First steps
First steps to data analysis in R slides ([pdf](https://economic.github.io/data_bootcamp/zipperer_firststepsR_slides.pdf))\
EPI national wage percentiles data ([csv](https://economic.github.io/data_bootcamp/epi_wage_percentiles.csv))\
2022 EPI CPS ORG extracts data ([zipped .dta](https://economic.github.io/data_bootcamp/epi_cpsorg_2022.dta.zip))
## Using APIs to access data in R
Accessing BLS and Census data ([code](bls_census_api_databootcamp.R))
# 2022 EARNCon Data bootcamp
## Data analysis in R ([Video](https://www.youtube.com/watch?v=PG7T0AoxIY0&list=PLOeWdRZsn2L__Noita2w4bQwd1tMJrfLU&index=7))
[Data analysis in R slides](https://economic.github.io/data_bootcamp/zipperer_dataanalysisinR_slides.pdf)\
[Historical minimum wage data](https://github.com/Economic/data_bootcamp/blob/master/mw_state_annual.xlsx)\
[CPI-U-RS data\
](https://economic.github.io/data_bootcamp/r-cpi-u-rs-allitems.xlsx)[EPI CPS ORG data](https://github.com/Economic/data_bootcamp/blob/master/epi_cps_org_2022.dta.zip)
## Code Library Presentation ([Video](https://www.youtube.com/watch?v=3owr9nGizYQ&list=PLOeWdRZsn2L__Noita2w4bQwd1tMJrfLU&index=6))
[Code library powerpoint](https://github.com/Economic/data_bootcamp/blob/master/Code%20Library%20Presentation.pptx)
## Data analysis in Stata ([Video](https://www.youtube.com/watch?v=L04fzN2uOVE&list=PLOeWdRZsn2L__Noita2w4bQwd1tMJrfLU&index=5))
[Data analysis in Stata slides](https://economic.github.io/data_bootcamp/Data%20analysis%20in%20.pptx)\
[Stata session do file](https://economic.github.io/data_bootcamp/data_bootcamp_2022.do)
# 2021 EARNCon Data Bootcamp
## 2021 First steps in Stata ([Video](https://www.youtube.com/watch?v=t1tKg9A6NaU&list=PLOeWdRZsn2L8geg2kkqcYZniR5TBk98si&index=7))
[Stata session 1 slides](https://economic.github.io/data_bootcamp/stata_session1.pdf)\
[Stata session 1 do file](https://economic.github.io/data_bootcamp/stata_session1.do)\
[EPI CPS ORG 2020 stata data file](https://economic.github.io/data_bootcamp/epi_cpsorg_2020.dta)
## 2021 Using Stata effectively ([Video](https://www.youtube.com/watch?v=cl91pM6XuHM&list=PLOeWdRZsn2L8geg2kkqcYZniR5TBk98si&index=8))
[Stata session 2 slides](https://economic.github.io/data_bootcamp/stata_session2.pdf)\
[Stata session 2 do file](https://economic.github.io/data_bootcamp/earn_data_bootcamp_session2.do)\
[CPI-U-RS data](https://economic.github.io/data_bootcamp/r-cpi-u-rs-allitems.xlsx)\
[EPI CPS ORG 2020 stata data file](https://economic.github.io/data_bootcamp/epi_cpsorg_2020.dta)\
[Full EPI CPS ORG](https://microdata.epi.org/epi_cpsorg_1979_2021.zip) (zipped data files)
## 2021 First steps in R ([Video](https://www.youtube.com/watch?v=fcHHWTwZZq8&list=PLOeWdRZsn2L8geg2kkqcYZniR5TBk98si&index=7))
[Slides](https://economic.github.io/data_bootcamp/zipperer_firststepsR_slides.pdf)\
[acs_2019.dta](https://economic.github.io/data_bootcamp/acs_2019.dta)\
[epi_wage_percentiles.csv](https://economic.github.io/data_bootcamp/epi_wage_percentiles.csv)\
[acs_wage_analysis.R](https://economic.github.io/data_bootcamp/acs_wage_analysis.R)
## 2021 Using R effectively ([Video](https://www.youtube.com/watch?v=mMc0PGh_W-Y))
[Slides](https://economic.github.io/data_bootcamp/zipperer_usingReffectively_slides.pdf)\
[acs_2019.dta](https://economic.github.io/data_bootcamp/acs_2019.dta)\
[geocorr2018.csv](https://economic.github.io/data_bootcamp/geocorr2018.csv)\
[acs_wage_analysis_LAST_TIME.R](https://economic.github.io/data_bootcamp/acs_wage_analysis_LAST_TIME.R)\
[acs_wage_analysis_FINAL.R](https://economic.github.io/data_bootcamp/acs_wage_analysis_FINAL.R)